NEXT EVENT SESSION
22-23 February 2024 
( Instant E-Certificate)
For Enquiries:
computer@sfconferences.com

About the Event

About the Award

International Research Awards on Information and Computer Application is the Researchers and Research organizations around the world in the motive of Encouraging and Honoring them for their Significant contributions & Achievements for the Advancement in their field of expertise. Researchers and scholars of all nationalities are eligible to receive ScienceFather  Computer App Awards. Nominees are judged on past accomplishments, research excellence, and outstanding academic achievements.

What does the award include

The profile of the award winners of each category be listed on our website and it will be maintained forever.

The certificate, medal, and Memento, and photographs will be a testimony. Further, this recognition and additional proof of hard work and achievements must be globally accessible for Researchers and hence will be available online 24/7.

It’s an indicator of success Enhances the reputation improves the benchmark –it’s a matter of pride – Motivation – Raises the visibility of the success.

Researcher Awards

Researcher Awards

Young Scientist Award: This Awarded to researchers who are in the early stage of their career for outstanding research in their field. This award is bestowed in the motive of identifying and Recognizing the young Researchers around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Collaborations and Publications. Eligibility: A working professional can nominate for the Award. Research grants for medical students also awarded as scientist awards. He must be below 35 years of age as of the conference date.

Best Researcher Award: This Awarded to the Best researcher in any field for their significant contribution to the advancement in their field of expertise. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Collaborations, Contracts, and Publications. Eligibility: A working professional can nominate for the Award. There is no age limit for Best Researcher Award category.

Outstanding Scientist Award: Exceptional research record of significant contribution to the institute/company. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Grants, Patents, Collaborations, Contracts, books, and Publications. Eligibility: A working professional can nominate for the Award. He must be above 35 years of age as of the conference date.

Lifetime Achievement Award: This awards an Exceptional research record of significant contribution to the institute/company. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Grants, Patents, Collaborations, Contracts, books, and Publications. Eligibility: A working professional can nominate for the Award. He must be above 35 years of age as of the conference date.

Women Researcher Award: Awarded to the Best women researcher in any field for their significant contribution to the advancement in their field of expertise. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Collaborations, Contracts, and Publications. Eligibility: A working professional can nominate for the Award.

Best Innovation Award: This Awarded to researchers/institutes/Organizations who are in the early stage of their careers for outstanding innovation in their field. This award is bestowed with the motive of identifying and Recognizing the Researchers/institutes/organizations around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Collaborations and Publications. Eligibility: A working professional/ Institute/ Organization can nominate for the Award.

Best Faculty Award: This Awarded to the Best Faculty in any field for their significant contribution to the advancement in their field of expertise. The qualification of the nominee must be recognized and documented by corresponding successes in research/ Academic contributions, such as Collaborations, Contracts, and Publications. Eligibility: A working professional can nominate for the Award. He must be under 45 years of age as of the conference date.

Best Scholar Award: This Awarded to Scholar/ Student who are in the early stage of their career for outstanding research in their field. This award is bestowed in the motive of identifying and Recognizing the young Researchers scholar/ Student around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in research contributions, such as Publications. Eligibility: A scholar can nominate for the Award. He must be under 35 years of age as of the conference date.

Institute/ Organization Awards

Institute/ Organization Awards:

Excellence in Innovation: This Awarded to Institute/ Organization/ Business/ Industries who are in the early stage of their career for outstanding innovation in their field. This award is bestowed in the motive of identifying and Recognizing the Institute/ Organization/ Business/ Industries around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in innovation contribution, such as Innovation, Patent, Entrepreneurship, and New project development. Eligibility: A Institute /Organization/ Industries can nominate for the Award.

Excellence in Research: This Awarded to Institute/ Organization/ Business/ Industries who are in the early stage of their career for outstanding research in their field. This award is bestowed in the motive of identifying and Recognizing the Institute/ Organization/ Business/ Industries around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in research contribution, such as publication, research Grants, Research & developments, Entrepreneurship development. Eligibility: A Institute /Organization/ Industries can nominate for the Award.

Excellence Award (Any Scientific field): This Awarded to Institute/ Organization/ Business/ Industries who are in the early stage of their career for outstanding excellence in their field. This award is bestowed in the motive of identifying and Recognizing the Institute/ Organization/ Business/ Industries around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in their field contribution, such as Advancement, New Technology, and Development. Eligibility: A Institute /Organization/ Industries can nominate for the Award.

Best Research /Innovation Extension activity: This Awarded to Institute/ Organization/ Business/ Industries who are in the early stage of their career for outstanding Research/ innovation in their field. This award is bestowed in the motive of identifying and Recognizing the Institute/ Organization/ Business/ Industries around the world who have the potential to become leaders n their field. The qualification of the nominee must be recognized and documented by corresponding successes in their field contribution, such as Extension, Public useful innovation /Research Activities, Innovative services, Awareness programs, and New Technology awareness Development. Eligibility: A Institute /Organization/ Industries can nominate for the Award.

How to Apply

How to Apply

The Candidates with eligibility can click the "Nominate /Submit Your Profile (CV) Now" button and fill up the online submission form and Submit it.

This section describes the total Research Awards processes in step by steps:

  1. Received Nomination documents will be sent for the screening process
  2. Acknowledgment intimation via email will be communicated to the Nominee
  3. The team may ask the proof for the credits mentioned in the Resume.
  4. Cross verifying the documents submitted & forwarding it to the Committee.
  5. The selected candidate indicated through email. Also, the selected nominees will be checked anytime on the website track of my submission.
  6. Event and Celebration Registration
  7. Release of the winners list in the official web page
  8. Award presentation ceremony
  9. Release of the Award winners and his profile Report.

Registration

Registration Details

Registration Covers

  • An exclusive web page for a highly rated profile of the award winners will always be available online.
  • Participation in Award event Session and Keynote session.
  • Certificate, Memento, and Photographs.
  • Event Kit, Tea, Coffee & Snacks.
  • Veg & Non-Veg Lunch during the Event.
  • Event and Celebration Registration
  • Release of the winners list in the official web page
  • Award presentation ceremony
  • Release of the Award winners and his profile Report.

Registration Procedure

Click the “Register Now” button at the conference page and enter your Submission ID in the Search Box
Your Submissions will be listed on that page. You can find the Register Now link beside your submission. Click the link and now you will be redirected to the Conference registration form where you can make your registration using credit/debit cards

General Instructions to Nominees

  1. The candidates with proper eligibility are requested to submit the online nomination form in order to get nominated for the award
  2. If your nomination is accepted by our Judges, we will send you an email regarding your profile selection
  3. Awardees must register for the event
  4. Dress Code: Award Recipients have to wear a formal dress. There are no restrictions on color or design. The audience attending only the ceremony can wear clothing of their own choice.
  5. General Information: Each winner's name will be called & asked to collect their Awards on the Stage with an official photographer to capture the moments.

 

Terms & Conditions

Terms & Conditions

ScienceFather Terms & Conditions Policy was last updated on June 25, 2022

Privacy Policy

This awards  Customer personal information for our legitimate business purposes, to process and respond to inquiries, and provide our services, to manage our relationship with editors, authors, institutional clients, service providers, and other business contacts, to market our services and subscription management. We do not sell, rent/ trade your personal information to third parties.

Relationship

ScienceFather awards Operate a Customer Association Management and email list program, which we use to inform customers and other contacts about our services, including our publications and events. Such marketing messages may contain tracking technologies to track subscriber activity relating to engagement, demographics, and other data, and to build subscriber profiles.

Disclaimer

 All editorial matters published on this website represent the opinions of the authors and not necessarily those of the Publisher with the publications. Statements and opinions expressed do not represent the official policies of the relevant associations unless so stated. Every effort has been made to ensure the accuracy of the material that appears on this website. Please ignore, however, that some errors may occur.

Responsibility

Delegates are personally responsible for their belongings at the venue. The Organizers will not be held accountable for any stolen or missing items belonging to Delegates, Speakers, or Attendees; due to any reason whatsoever.

Insurance

Registration fees that do not include insurance of any kind.

Press and Media

Press permission must be getting from the SFConferences Conferences Organizing Committee before the event. The press will not quote speakers or delegates unless they have obtained their approval in writing. This conference is not associated with any commercial meeting company.

Transportation

Please note that any (or) all traffic and parking is the responsibility of the registrant.

Requesting an Invitation Letter

For security purposes, the letter of invitation will be sent only to those individuals who had registered for the conference. Once your registration is complete, please contact contact@ScienceFather.com to request a personalized letter of invitation.

Cancellation Policy

If cancel this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another Primary healthcare award which must occur within one year from the date of cancellation.

Postponement Policy

If postpone an event for any reason and you are unable or indisposed to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another SFConferences event which must occur within one year from the date of postponement.

Transfer of registration

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. The registered person must make transfers in writing to contact@sciencefather.com. Details must include the full name of an alternative person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference ofSFConferences if the person is unable to attend one of the meetings. However, Registration cannot be transferred if it will be intimated within 14 days of the particular conference. The transferred registrations will not be eligible for Refund.

Visa Information

Keeping given the increased security measures, we would like to request all the participants to apply for Visa as soon as possible. NESIN awards will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should apply for Business Visa only. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of computer awards, including the inability to obtain a visa.

Refund Policy

Regarding refunds, all bank charges will be for the registrant's account. All cancellations or modifications of registration must make in writing to contact@ScienceFather.com

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply:

Keeping given advance payments towards Venue, Printing, Shipping, Hotels and other overheads, we had to keep Refund Policy is as following conditions,

Before 60 days of the Conference: Eligible for Full Refund less $100 Service Fee
Within 60-30 days of Conference: Eligible for 50% of payment Refund
Within 30 days of Conference: Not eligible for Refund
E-Poster Payments will not be refunded.

Accommodation Cancellation Policy

 Accommodation Providers such as hotels have their cancellation policies, and they generally apply when cancellations are made less than 30 days before arrival. Please contact us as soon as possible if you wish to cancel or amend your accommodation. SFConferences will advise the cancellation policy of your accommodation provider, before withdrawing or changing your booking, to ensure you are fully aware of any non-refundable deposits.

Sponsorship

Sponsorship

ScienceFather warmly invites you to sponsor or exhibit at International Conference. We expect participants more than 200 numbers for our International conference will provide an opportunity to hear and meet/ads to Researchers, Practitioners, and Business Professionals to share expertise, foster collaborations, and assess rising innovations across the world in the core area of mechanical engineering.

Sponsorship Details

Diamond Sponsorship

  1. Acknowledgment during the opening of the conference
  2. Complimentary Booth of size 10 meters square
  3. Four (4) delegate’s complimentary registrations with lunch
  4. Include marketing document in the delegate pack
  5. Logo on Conference website, Banners, Backdrop, and conference proceedings
  6. One exhibition stand (1×1 meters) for the conference
  7. One full cover page size ad in conference proceedings
  8. Opportunities for Short speech at events
  9. Opportunity to sponsors conference kit
  10. Opportunity to sponsors conference lanyards, ID cards
  11. Opportunity to sponsors conference lunch
  12. Recognition in video ads
  13. 150-word company profile and contact details in the delegate pack

Platinum Sponsorship

  1. Three (3) delegate’s complimentary registrations with lunch
  2. Recognition in video ads
  3. Opportunity to sponsors conference lunch
  4. Opportunity to sponsors conference lanyards, ID cards
  5. Opportunity to sponsors conference kit
  6. Opportunities for Short speech at events
  7. One full-page size ad in conference proceedings
  8. One exhibition stand (1×1 meters) for the conference
  9. Logo on Conference website, Banners, Backdrop, and conference proceedings
  10. Include marketing document in the delegate pack
  11. Complimentary Booth of size 10 meters square
  12. Acknowledgment during the opening of the conference
  13. 100-word company profile and contact details in the delegate pack

Gold Sponsorship

  1. Two (2) delegate’s complimentary registrations with lunch
  2. Opportunities for Short speech at events
  3. Logo on Conference website, Banners, Backdrop, and conference proceedings
  4. Include marketing document in the delegate pack
  5. Complimentary Booth of size 10 meters square
  6. Acknowledgment during the opening of the conference
  7. 100-word company profile and contact details in the delegate pack
  8. ½ page size ad in conference proceedings

Silver Sponsorship

  1. Acknowledgment during the opening of the conference
  2. One(1) delegate’s complimentary registrations with lunch
  3. Include marketing document in the delegate pack
  4. Logo on Conference website, Banners, Backdrop, and conference proceedings
  5. ¼ page size ad in conference proceedings
  6. 100-word company profile and contact details in the delegate pack

Individual Sponsorship

  1. Acknowledgment during the opening of the conference
  2. One(1) delegate’s complimentary registrations with lunch

 

Sponsorship Registration Fees

Details Registration fees
Diamond Sponsorship USD 2999
Platinum Sponsorship USD 2499
Gold Sponsorship USD 1999
Silver Sponsorship USD 1499
Individual Sponsorship USD 999

Exhibitions

Exhibitions

Exhibit your Products & Services

Exhibit your Products & Services in our Event of the International Research Awards on Information and Computer Applications. Exhibitors are welcomed from Commercial and Non-Commercial Organizations related to Computer Application and Computer Technology.

The best platform to develop new partnerships & collaborations.

Best location to speed up your route into every territory in the World.

Our exhibitor booths were visited 4-5 times by 80% of the attendees during the conference.

Network development with both Academia and Business.

 

Exhibitor benefits

Exhibit booth of Size-3X3 sqm.

Promotion of your logo/Company Name/Brand Name through the conference website.

Promotional video on company products during the conference (Post session and Breaks).

Logo recognition in the Scientific program, Conference banner, and flyer.

One A4 flyer inserts into the conference kit.

An opportunity to sponsor 1 Poster Presentation Award.

Contact Us

For Enquiries, Contact us through conference mail.

Popular Books

1. The C Programming Language by Brian Kernighan and Dennis Ritchie, Prentice Hall, Second Edition, 1988. | 2. Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig, Pearson, Fourth Edition, 2020. | 3. Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin, Prentice Hall, First Edition, 2008. | 4. Code Complete: A Practical Handbook of Software Construction by Steve McConnell, Microsoft Press, Second Edition, 2004. | 5. Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein, MIT Press, Third Edition, 2009. | 6. Cracking the Coding Interview by Gayle Laakmann McDowell, CareerCup, Sixth Edition, 2015. | 7. Head First Design Patterns: A Brain-Friendly Guide by Elisabeth Freeman, Eric Freeman, Bert Bates, and Kathy Sierra, O 'Reilly Media, First Edition, 2004. | 8. The Pragmatic Programmer: From Journeyman to Master by Andrew Hunt and David Thomas, Addison-Wesley Professional, First Edition, 1999. | 9. Structure and Interpretation of Computer Programs by Harold Abelson and Gerald Jay Sussman, MIT Press, Second Edition, 1996. | 10. Operating System Concepts by Abraham Silberschatz, Peter Baer Galvin, and Greg Gagne, Wiley, Ninth Edition, 2012. | 11. Computer Networks by Andrew S. Tanenbaum and David J. Wetherall, Pearson, Fifth Edition, 2010. | 12. Database Management Systems by Raghu Ramakrishnan and Johannes Gehrke, McGraw-Hill Education, Third Edition, 2002. | 13. The Mythical Man-Month: Essays on Software Engineering by Frederick P. Brooks Jr., Addison-Wesley Professional, Second Edition, 1995. | 14. Computer Architecture: A Quantitative Approach by John L. Hennessy and David A. Patterson, Morgan Kaufmann, Fifth Edition, 2011. | 15. Computer Graphics: Principles and Practice by James D. Foley, Andries van Dam, Steven K. Feiner, and John F. Hughes, Addison-Wesley Professional, Third Edition, 2013. | 16. Data Structures and Algorithms in Python by Michael T. Goodrich, Roberto Tamassia, and Michael H. Goldwasser, Wiley, First Edition, 2013. | 17. Algorithms by Robert Sedgewick and Kevin Wayne, Addison-Wesley Professional, Fourth Edition, 2011. | 18. Introduction to the Theory of Computation by Michael Sipser, Cengage Learning, Third Edition, 2012. | 19. Computer Security: Principles and Practice by William Stallings and Lawrie Brown, Pearson, Third Edition, 2015. | 20. Programming Language Pragmatics by Michael L. Scott, Morgan Kaufmann, Third Edition, 2009. | 21. Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, MIT Press, First Edition, 2016. | 22. The Elements of Computing Systems: Building a Modern Computer from First Principles by Noam Nisan and Shimon Schocken, MIT Press, First Edition, 2005. | 23. Computer Networks: A Systems Approach by Larry Peterson and Bruce Davie, Morgan Kaufmann, Fifth Edition, 2011. | 24. Introduction to Algorithms by Thomas Cormen, Charles Leiserson, Ronald Rivest, and Clifford Stein, MIT Press, Third Edition, 2009. | 25. Programming Language Pragmatics by Michael Scott, Morgan Kaufmann, Fourth Edition, 2016. | 26. The Art of Computer Programming by Donald Knuth, Addison-Wesley, Third Edition, 1997. | 27. Computer Organization and Design: The Hardware/Software Interface by David Patterson and John Hennessy, Morgan Kaufmann, Fifth Edition, 2013. | 28. Operating System Concepts by Abraham Silberschatz, Peter Baer Galvin, and Greg Gagne, Wiley, Ninth Edition, 2012. | 29. Computer Graphics: Principles and Practice by James Foley, Andries van Dam, Steven Feiner, and John Hughes, Addison-Wesley, Third Edition, 2013. | 30. Computer Vision: Algorithms and Applications by Richard Szeliski, Springer, First Edition, 2010. | 31. Computer Architecture: A Quantitative Approach by John Hennessy and David Patterson, Morgan Kaufmann, Sixth Edition, 2018. | 32. Database System Concepts by Abraham Silberschatz, Henry Korth, and S. Sudarshan, McGraw-Hill, Sixth Edition, 2010. | 33. Computer Security: Principles and Practice by William Stallings and Lawrie Brown, Prentice Hall, Third Edition, 2014. | 34. Computer Science: An Overview by J. Glenn Brookshear, Addison-Wesley, Twelfth Edition, 2014. | 35. The C Programming Language by Brian Kernighan and Dennis Ritchie, Prentice Hall, Second Edition, 1988. | 36. Data Mining: Concepts and Techniques by Jiawei Han, Micheline Kamber, and Jian Pei, Morgan Kaufmann, Third Edition, 2011. | 37. Computer Networks and Internets by Douglas Comer, Pearson, Sixth Edition, 2015. | 38. Introduction to Computer Security by Michael Goodrich and Roberto Tamassia, Pearson, First Edition, 2011. | 39. Foundations of Computer Science by Alfred Aho and Jeffrey Ullman, W. H. Freeman, Second Edition, 1992. | 40. Computer Systems: A Programmer 's Perspective by Randal Bryant and David O 'Hallaron, Pearson, Third Edition, 2015. | 41. Distributed Systems: Principles and Paradigms by Andrew Tanenbaum and Maarten van Steen, Prentice Hall, Second Edition, 2007. | 42. Computer Organization: Basic Processor Structure by Carl Hamacher, Zvonko Vranesic, and Safwat Zaky, McGraw-Hill, Fifth Edition, 2013. | 43. The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win by Gene Kim, Kevin Behr, and George Spafford, IT Revolution Press, First Edition, 2013. | 44. The Lean Startup: How Today’s Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses by Eric Ries, Crown Business, First Edition, 2011. | 45. The Design of Everyday Things by Don Norman, Basic Books, Revised and Expanded Edition, 2013. | 46. Thinking, Fast and Slow by Daniel Kahneman, Farrar, Straus and Giroux, First Edition, 2011. | 47. Designing Web Interfaces: Principles and Patterns for Rich Interactions by Bill Scott and Theresa Neil, O 'Reilly Media, First Edition, 2009. | 48. Don 't Make Me Think: A Common Sense Approach to Web Usability by Steve Krug, New Riders, Second Edition, 2006. | 49. User Interface Design for Programmers by Joel Spolsky, Apress, First Edition, 2001. | 50. The Elements of User Experience: User-Centered Design for the Web by Jesse James Garrett, New Riders, Second Edition, 2010. | 51. About Face 3: The Essentials of Interaction Design by Alan Cooper, Robert Reimann, and Dave Cronin, Wiley, Third Edition, 2007. | 52. Designing Interfaces: Patterns for Effective Interaction Design by Jenifer Tidwell, O 'Reilly Media, Second Edition, 2010. | 53. The User Experience Team of One: A Research and Design Survival Guide by Leah Buley, Rosenfeld Media, First Edition, 2013. | 54. The Elements of Content Strategy by Erin Kissane, A Book Apart, First Edition, 2011. | 55. Information Architecture for the World Wide Web: Designing Large-Scale Web Sites by Louis Rosenfeld and Peter Morville, O 'Reilly Media, Third Edition, 2006. | 56. Web Form Design: Filling in the Blanks by Luke Wroblewski, Rosenfeld Media, First Edition, 2008. | 57. A Project Guide to UX Design: For User Experience Designers in the Field or in the Making by Russ Unger and Carolyn Chandler, Peachpit Press, First Edition, 2009. | 58. Designing for Interaction: Creating Smart Applications and Clever Devices by Dan Saffer, New Riders, First Edition, 2006. | 59. Designing Mobile Interfaces by Steven Hoober and Eric Berkman, O 'Reilly Media, First Edition, 2011. | 60. Don 't Make Me Think, Revisited: A Common Sense Approach to Web Usability by Steve Krug, New Riders, Third Edition, 2014. | 61. Responsive Web Design by Ethan Marcotte, A Book Apart, First Edition, 2011. | 62. Seductive Interaction Design: Creating Playful, Fun, and Effective User Experiences by Stephen Anderson, New Riders, First Edition, 2011. | 63. The Mobile Frontier: A Guide for Designing Mobile Experiences by Rachel Hinman, Rosenfeld Media, First Edition, 2012. | 64. Designing Web Navigation: Optimizing the User Experience by James Kalbach, O 'Reilly Media, First Edition, 2007. | 65. The Art of Computer Programming by Donald E. Knuth, Addison-Wesley, Third Edition, 1997. | 66. Structure and Interpretation of Computer Programs by Harold Abelson and Gerald Jay Sussman, MIT Press, Second Edition, 1996. | 67. Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein, MIT Press, Third Edition, 2009. | 68. Computer Networks by Andrew S. Tanenbaum, Prentice Hall, Fifth Edition, 2010. | 69. Computer Organization and Design: The Hardware/Software Interface by David A. Patterson and John L. Hennessy, Morgan Kaufmann, Fifth Edition, 2013. | 70. Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig, Prentice Hall, Third Edition, 2009. | 71. Programming Language Pragmatics by Michael L. Scott, Morgan Kaufmann, Third Edition, 2009. | 72. Computer Vision: Algorithms and Applications by Richard Szeliski, Springer, First Edition, 2010. | 73. Data Structures and Algorithms in Java by Michael T. Goodrich and Roberto Tamassia, John Wiley & Sons, Sixth Edition, 2014. | 74. Computer Systems: A Programmer 's Perspective by Randal E. Bryant and David R. O 'Hallaron, Prentice Hall, Third Edition, 2015. | 75. The C Programming Language by Brian W. Kernighan and Dennis M. Ritchie, Prentice Hall, Second Edition, 1988. | 76. Operating System Concepts by Abraham Silberschatz, Peter B. Galvin, and Greg Gagne, John Wiley & Sons, Ninth Edition, 2012. | 77. Database System Concepts by Abraham Silberschatz, Henry F. Korth, and S. Sudarshan, McGraw-Hill, Sixth Edition, 2010. | 78. Numerical Recipes: The Art of Scientific Computing by William H. Press, Saul A. Teukolsky, William T. Vetterling, and Brian P. Flannery, Cambridge University Press, Third Edition, 2007. | 79. Foundations of Computer Science by Alfred V. Aho and Jeffrey D. Ullman, W. H. Freeman and Company, Second Edition, 1992. | 80. Computer Graphics: Principles and Practice by John F. Hughes, Andries van Dam, Morgan McGuire, David F. Sklar, James D. Foley, Steven K. Feiner, and Kurt Akeley, Addison-Wesley, Third Edition, 2013. | 81. An Introduction to Formal Languages and Automata by Peter Linz, Jones and Bartlett Publishers, Fifth Edition, 2012. | 82. Design Patterns: Elements of Reusable Object-Oriented Software by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides, Addison-Wesley, First Edition, 1995. | 83. Computer Security: Principles and Practice by William Stallings and Lawrie Brown, Prentice Hall, Second Edition, 2012. | 84. Data Mining: Concepts and Techniques by Jiawei Han, Micheline Kamber, and Jian Pei, Morgan Kaufmann, Third Edition, 2011. | 85. and Clifford Stein, MIT Press, Third Edition, 2009. | 86. Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig, Pearson, Fourth Edition, 2020. | 87. Cracking the Coding Interview by Gayle Laakmann McDowell, CareerCup, Sixth Edition, 2015. | 88. Head First Design Patterns: A Brain-Friendly Guide by Elisabeth Freeman, Eric Freeman, Bert Bates, and Kathy Sierra, O 'Reilly Media, First Edition, 2004. | 89. The Pragmatic Programmer: From Journeyman to Master by Andrew Hunt and David Thomas, Addison-Wesley Professional, First Edition, 1999. | 90. Structure and Interpretation of Computer Programs by Harold Abelson and Gerald Jay Sussman, MIT Press, Second Edition, 1996. | 91. Operating System Concepts by Abraham Silberschatz, Peter Baer Galvin, and Greg Gagne, Wiley, Ninth Edition, 2012. | 92. Computer Networks by Andrew S. Tanenbaum and David J. Wetherall, Pearson, Fifth Edition, 2010. | 93. Database Management Systems by Raghu Ramakrishnan and Johannes Gehrke, McGraw-Hill Education, Third Edition, 2002. | 94. The Mythical Man-Month: Essays on Software Engineering by Frederick P. Brooks Jr., Addison-Wesley Professional, Second Edition, 1995. | 95. Computer Architecture: A Quantitative Approach by John L. Hennessy and David A. Patterson, Morgan Kaufmann, Fifth Edition, 2011. | 96. Computer Graphics: Principles and Practice by James D. Foley, Andries van Dam, Steven K. Feiner, and John F. Hughes, Addison-Wesley Professional, Third Edition, 2013. | 97. Data Structures and Algorithms in Python by Michael T. Goodrich, Roberto Tamassia, and Michael H. Goldwasser, Wiley, First Edition, 2013. | 98. Algorithms by Robert Sedgewick and Kevin Wayne, Addison-Wesley Professional, Fourth Edition, 2011. | 99. Introduction to the Theory of Computation by Michael Sipser, Cengage Learning, Third Edition, 2012. | 100. Computer Security: Principles and Practice by William Stallings and Lawrie Brown, Pearson, Third Edition, 2015.

Related Societies

1. Association for Computing Machinery (ACM) - USA | 2. Institute of Electrical and Electronics Engineers Computer Society (IEEE CS) - USA | 3. International Association of Computer Science and Information Technology (IACSIT) - Singapore | 4. International Federation for Information Processing (IFIP) - Austria | 5. European Association for Theoretical Computer Science (EATCS) - Switzerland | 6. Association for Information Systems (AIS) - USA | 7. International Association for Computer and Information Science (ACIS) - Japan | 8. International Association for Cryptologic Research (IACR) - USA | 9. International Association for Development of the Information Society (IADIS) - Portugal | 10. International Association for Engineering and Management Education (IAEME) - India | 11. International Association for Mathematics and Computers in Simulation (IMACS) - USA | 12. International Association for Pattern Recognition (IAPR) - USA | 13. International Association for Research in Science and Technology (IARST) - USA | 14. International Association for the Advancement of Computing in Education (AACE) - USA | 15. International Association of Computer Science and Technology (IACST) - USA | 16. International Association of Engineers (IAENG) - Hong Kong | 17. International Association of Science and Technology for Development (IASTED) - Canada | 18. International Computer Science and Engineering Society (ICSES) - USA | 19. International Federation of Information Processing (IFIP) - Austria | 20. International Institute of Informatics and Systemics (IIIS) - USA | 21. International Society for Computers and Their Applications (ISCA) - USA | 22. International Society for Engineering and Technical Education (ISETT) - USA | 23. International Society for Technology in Education (ISTE) - USA | 24. International Society of Information Fusion (ISIF) - USA | 25. International Society of Intelligent Unmanned Systems (ISIUS) - South Korea | 26. Association for Women in Computing (AWC) - USA | 27. British Computer Society (BCS) - UK | 28. Canadian Information Processing Society (CIPS) - Canada | 29. Chinese Academy of Sciences (CAS) - China | 30. Computer Science Teachers Association (CSTA) - USA | 31. Czech Society for Cybernetics and Informatics (CSCI) - Czech Republic | 32. Danish Society for Theoretical Statistics (DSTS) - Denmark | 33. Egyptian Computer Society (ECS) - Egypt | 34. Estonian Information Technology Society (EITS) - Estonia | 35. Finnish Information Processing Association (FIPA) - Finland | 36. French Association for Artificial Intelligence (AFIA) - France | 37. German Computer Society (Gesellschaft für Informatik) - Germany | 38. Greek Computer Society (EPY) - Greece | 39. Hungarian Society for Computer Science and Information Technology (MKISZ) - Hungary | 40. Indian Association for Research in Computing Science (IARCS) - India | 41. Indonesian Society for Knowledge and Human Development (INSKODE) - Indonesia | 42. Iranian Society of Cryptology (ISC) - Iran | 43. Irish Computer Society (ICS) - Ireland | 44. Israeli Association of Theoretical Computer Science (IATCS) - Israel | 45. Italian Association for Artificial Intelligence (AI*IA) - Italy | 46. Japanese Society for Artificial Intelligence (JSAI) - Japan | 47. Korean Information Science Society (KISS) - South Korea | 48. Latvian Information Technology Society (LITS) - Latvia | 49. Lithuanian Computer Society (LKD) - Lithuania | 50. Mexican Society for Artificial Intelligence (SMIA) - Mexico | 51. Middle East Association for Computer Science and Engineering (MEACSE) - Jordan | 52. Moroccan Association for Computer Science (AMSI) - Morocco | 53. Netherlands Society for Information Technology (NGI) - Netherlands | 54. New Zealand Computer Society (NZCS) - New Zealand | 55. Nigerian Computer Society (NCS) - Nigeria | 56. Norwegian Computer Society (NCS) - Norway | 57. Pakistan Society of Information Technology (PSIT) - Pakistan | 58. Philippine Computer Society (PCS) - Philippines | 59. Polish Society for Theoretical and Applied Informatics (PTI) - Poland | 60. Portuguese Association for Artificial Intelligence (APPIA) - Portugal | 61. Romanian Society for Informatics (SRI) - Romania | 62. Russian Association for Artificial Intelligence (RAAI) - Russia | 63. Saudi Computer Society (SCS) - Saudi Arabia | 64. Serbian Society for Informatics (SSI) - Serbia | 65. Singapore Computer Society (SCS) - Singapore | 66. Slovak Society for Computer Science (SSKI) - Slovakia | 67. Slovenian Society Informatika (SSI) - Slovenia | 68. South African Institute for Computer Scientists and Information Technologists (SAICSIT) - South Africa | 69. Spanish Society for Artificial Intelligence (AEPIA) - Spain | 70. Sri Lankan Association for Artificial Intelligence (SLAAI) - Sri Lanka | 71. Sudanese Society for Computer Sciences and Information Technology (SSCSIT) - Sudan | 72. Swedish Association for Information Specialists (SFIS) - Sweden | 73. Swiss Informatics Society (SI) - Switzerland | 74. Taiwan Association for Web Intelligence Consortium (TAWIC) - Taiwan | 75. Thai Society of Information Technology (TSIT) - Thailand | 76. Tunisian Association for Artificial Intelligence (TAAI) - Tunisia | 77. Turkish Computer Society (TBD) - Turkey | 78. Ukrainian Association for Computer Machinery (UACM) - Ukraine | 79. Union of Bulgarian Mathematicians and Informatics (UBMI) - Bulgaria | 80. Vietnamese Association for Computing, Engineering Technology and Science (VACETS) - Vietnam | 81. Academy of Computing and Information Technology (ACIT) - Bangladesh | 82. African Society for Information and Communication Technology (ASICT) - Cameroon | 83. Algerian Association of Computer Science (AASC) - Algeria | 84. Argentinean Society of Informatics and Operations Research (SADIO) - Argentina | 85. Armenian Association for Artificial Intelligence (AAAI) - Armenia | 86. Association for Computing Education (ACE) - UK | 87. Association for Information and Image Management (AIIM) - USA | 88. Association of Computer Engineers and Technicians (ACEIT) - Nigeria | 89. Association of Computing Machinery Special Interest Group on Computer Science Education (ACM SIGCSE) - USA | 90. Association of Information Technology Professionals (AITP) - USA | 91. Australian Computer Society (ACS) - Australia | 92. Austrian Computer Society (OCG) - Austria | 93. Bangladesh Computer Society (BCS) - Bangladesh | 94. Belgian Computer Science Association (BCSA) - Belgium | 95. Brazilian Computer Society (SBC) - Brazil | 96. Bulgarian Society for Computer Science (BSCS) - Bulgaria | 97. Canadian Information Technology Association (CITA) - Canada | 98. Caribbean Association of Information Technology Professionals (CAITP) - Trinidad and Tobago | 99. Central European Association for Cryptology (CEAC) - Hungary | 100. Mexican Association for Computer Science (AMEXCOMP) - Mexico

Top Researchers

1. David Patterson - Computer Architecture, University of California, Berkeley, USA | 2. John Hennessy - Computer Architecture, Stanford University, USA | 3. Andrew Tanenbaum - Operating Systems, Vrije Universiteit Amsterdam, Netherlands | 4. Leslie Lamport - Distributed Systems, Microsoft Research, USA | 5. Silvio Micali - Cryptography and Security, Massachusetts Institute of Technology (MIT), USA | 6. Judea Pearl - Causal Reasoning and AI, University of California, Los Angeles, USA | 7. Barbara Liskov - Programming Languages and Systems, Massachusetts Institute of Technology (MIT), USA | 8. David Blei - Machine Learning and Topic Modeling, Columbia University, USA | 9. Michael Jordan - Machine Learning, University of California, Berkeley, USA | 10. Fei-Fei Li - Computer Vision and Deep Learning, Stanford University, USA | 11. Richard Stallman - Free Software Movement, Massachusetts Institute of Technology (MIT), USA | 12. Mark Zuckerberg - Social Networking and Artificial Intelligence, Facebook, USA | 13. Terry Winograd - Natural Language Processing, Stanford University, USA | 14. Shafi Goldwasser - Cryptography and Complexity Theory, University of California, Berkeley, USA | 15. David Karger - Human-Computer Interaction and Information Retrieval, Massachusetts Institute of Technology (MIT), USA | 16. Oren Etzioni - Artificial Intelligence and Natural Language Processing, Allen Institute for AI, USA | 17. Zvi Galil - Algorithms and Complexity, Georgia Institute of Technology, USA | 18. Alex Smola - Machine Learning, Carnegie Mellon University, USA | 19. Robert Metcalfe - Computer Networks, University of Texas at Austin, USA | 20. Eric Horvitz - Artificial Intelligence and Decision Making, Microsoft Research, USA | 21. Vint Cerf - Internet Architecture, Google, USA | 22. Michael Stonebraker - Database Management Systems, Massachusetts Institute of Technology (MIT), USA | 23. Martin Fowler - Software Engineering and Design Patterns, ThoughtWorks, USA | 24. Kent Beck - Agile Software Development, Three Rivers Institute, USA | 25. Greg Kroah-Hartman - Linux Kernel Development, Linux Foundation, USA | 26. Denny Vrandečić - Semantic Web and Knowledge Graphs, Wikimedia Foundation, Germany | 27. Henry Fuchs - Virtual Reality and Computer Graphics, University of North Carolina at Chapel Hill, USA | 28. Rodney Brooks - Robotics, Massachusetts Institute of Technology (MIT), USA | 29. Tom Mitchell - Machine Learning and Cognitive Science, Carnegie Mellon University, USA | 30. Sebastian Coope - Computer Vision and Image Processing, University of Oxford, UK | 31. Jon Crowcroft - Computer Networking, University of Cambridge, UK | 32. Maja Pantic - Affective Computing and Social Robotics, Imperial College London, UK | 33. Erol Gelenbe - Artificial Intelligence and Computer Networks, Imperial College London, UK | 34. Jane Hillston - Formal Methods and Performance Modeling, University of Edinburgh, UK | 35. Aaron Quigley - Human-Computer Interaction, University of St Andrews, UK | 36. Jon Kleinberg - Algorithmic Game Theory and Social Networks, Cornell University, USA | 37. Anant Agarwal - Computer Architecture and MOOCs, Massachusetts Institute of Technology (MIT), USA | 38. Kenneth Church - Natural Language Processing, Johns Hopkins University, USA | 39. Scott Shenker - Computer Networking and Software-Defined Networking, University of California, Berkeley, USA | 40. Ben Shneiderman - Human-Computer Interaction and Information Visualization, University of Maryland, USA | 41. Jeff Dean - Machine Learning and Distributed Systems, Google, USA | 42. Andrew Ng - Machine Learning and Deep Learning, Stanford University, USA | 43. Sebastian Thrun - Robotics and Self-Driving Cars, Stanford University, USA | 44. Yann LeCun - Deep Learning and Computer Vision, New York University, USA | 45. Yoshua Bengio - Deep Learning and Natural Language Processing, University of Montreal, Canada | 46. Geoffrey Hinton - Deep Learning, University of Toronto, Canada | 47. Ian Goodfellow - Generative Adversarial Networks, Apple, USA | 48. Stuart Russell - AI Ethics and Autonomous Systems, University of California, Berkeley, USA | 49. Kai-Fu Lee - Artificial Intelligence and Venture Capital, Sinovation Ventures, China | 50. Demis Hassabis - AI and Reinforcement Learning, DeepMind, UK | 51. Pieter Abbeel - Robotics and Machine Learning, University of California, Berkeley, USA | 52. Max Tegmark - AI and Physics, Massachusetts Institute of Technology (MIT), USA | 53. Jeff Sutherland - Agile Software Development and Scrum, Scrum Inc., USA | 54. Jim Gray - Databases and Data Management, Microsoft Research, USA | 55. Jennifer Widom - Databases and Data Mining, Stanford University, USA | 56. Peter Norvig - Natural Language Processing and AI, Google, USA | 57. Michael Kearns - Machine Learning and Game Theory, University of Pennsylvania, USA | 58. Alan Kay - Object-Oriented Programming and User Interfaces, Apple, USA | 59. Jim Kurose - Computer Networks and Distributed Systems, University of Massachusetts Amherst, USA | 60. Genevieve Bell - Human-Computer Interaction and Social Computing, Australian National University, Australia | 61. Daphne Koller - Machine Learning and Probabilistic Graphical Models, Stanford University, USA | 62. Nick Bostrom - AI and Existential Risk, University of Oxford, UK | 63. Tomaso Poggio - Neuroscience and Deep Learning, Massachusetts Institute of Technology (MIT), USA | 64. Dan Jurafsky - Natural Language Processing and Computational Linguistics, Stanford University, USA | 65. Ilya Sutskever - Deep Learning and Neural Networks, OpenAI, Canada | 66. Trevor Hastie - Statistical Learning and Data Mining, Stanford University, USA | 67. Nando de Freitas - Deep Learning and Reinforcement Learning, University of Oxford, UK | 68. Tim Berners-Lee - Web Development and Semantic Web, Massachusetts Institute of Technology (MIT), USA | 69. Simon Peyton Jones - Functional Programming and Language Design, Microsoft Research, UK | 70. Tim O\'Reilly - Open Source Software and Technology Trends, O\'Reilly Media, USA | 71. John L. Hennessy - Computer Architecture and Microprocessor Design, Stanford University, USA | 72. Bruce Schneier - Cryptography and Cybersecurity, Harvard University, USA | 73. Ben Goertzel - Artificial General Intelligence and Robotics, SingularityNET, Hong Kong | 74. Stefan Savage - Computer Security and Cybercrime, University of California, San Diego, USA | 75. Leslie Valiant - Computational Learning Theory and Algorithms, Harvard University, USA | 76. Yoav Shoham - Multi-Agent Systems and Game Theory, Stanford University, USA | 77. Dana Scott - Theoretical Computer Science and Lambda Calculus, Carnegie Mellon University, USA | 78. Nando Motta - Natural Language Processing and Information Retrieval, University of Sao Paulo, Brazil | 79. Fei-Fei Li - Computer Vision and Deep Learning, Stanford University, USA | 80. Pieter Abbeel - Robotics and Machine Learning, University of California, Berkeley, USA | 81. Dawn Song - Security and Privacy, University of California, Berkeley, USA | 82. David Ha - Reinforcement Learning and Robotics, Google Brain, USA | 83. Ian Goodfellow - Machine Learning and Generative Models, Apple, USA | 84. Zoubin Ghahramani - Machine Learning and Bayesian Statistics, University of Cambridge, UK | 85. Hany Farid - Digital Forensics and Image Analysis, University of California, Berkeley, USA | 86. Michael Jordan - Machine Learning and Probability, University of California, Berkeley, USA | 87. Raj Reddy - Artificial Intelligence and Robotics, Carnegie Mellon University, USA | 88. Ron Rivest - Cryptography and Security, Massachusetts Institute of Technology (MIT), USA | 89. Oren Etzioni - Artificial Intelligence and Natural Language Processing, Allen Institute for AI, USA | 90. Dan Boneh - Cryptography and Computer Security, Stanford University, USA | 91. David Blei - Machine Learning and Topic Modeling, Columbia University, USA | 92. John Hopcroft - Algorithms and Computer Science, Cornell University, USA | 93. John McCarthy - Artificial Intelligence and Formal Logic, Stanford University, USA | 94. Larry Page - Search Engines and Information Retrieval, Google, USA | 95. Yee Whye Teh - Machine Learning and Probabilistic Programming, University of Oxford, UK | 96. Amir Khosrowshahi - Natural Language Processing and Machine Learning, Nara Logics, USA | 97. Pedro Domingos - Machine Learning and Data Mining, University of Washington, USA | 98. Eliezer Yudkowsky - Artificial Intelligence and Ethics, Machine Intelligence Research Institute, USA | 99. R. K. Shyamasundar - Algorithms and Complexity Theory, Indian Institute of Technology Bombay, India | 100. Michael I. Jordan - Machine Learning and Statistics, University of California, Berkeley, USA

Related Patents

1. Method for efficient parallel sorting - Guy Blelloch, Carnegie Mellon University, USA, Patent No. 6,353,732, 2002 | 2. Virtual machine monitor for hardware enforcing of context dependencies in software - Tal Garfinkel, Stanford University, USA, Patent No. 8,214,196, 2012 | 3. Method for collaborative filtering with privacy protection - Rakesh Agrawal, IBM Research, USA, Patent No. 7,386,530, 2008 | 4. Method for efficient encryption and decryption of data using elliptic curve cryptography - Neal Koblitz, University of Washington, USA, Patent No. 7,089,196, 2006 | 5. Method for predicting future web page visits based on user behavior - Thore Graepel, Microsoft Research, UK, Patent No. 8,533,051, 2013 | 6. Method for generating computer-generated imagery using deep learning techniques - Ian Goodfellow, OpenAI, USA, Patent No. 10,210,705, 2019 | 7. Method for improving computer vision accuracy through image segmentation - Jianxiong Xiao, Princeton University, USA, Patent No. 10,087,266, 2018 | 8. System and method for generating and optimizing code for parallel processing on heterogeneous computing devices - Wen-mei Hwu, University of Illinois at Urbana-Champaign, USA, Patent No. 10,465,566, 2019 | 9. Method for detecting malware using machine learning algorithms - Jugal Parikh, Georgia Institute of Technology, USA, Patent No. 9,757,443, 2017 | 10. Method for optimizing data transfer over networks using congestion control - Sally Floyd, International Computer Science Institute, USA, Patent No. 7,136,904, 2006 | 11. Method for predicting user behavior in online marketplaces using machine learning - Himabindu Lakkaraju, Stanford University, USA, Patent No. 10,432,458, 2019 | 12. System for real-time detection and prevention of distributed denial of service attacks - Vern Paxson, University of California, Berkeley, USA, Patent No. 9,997,292, 2018 | 13. Method for improving natural language processing through transfer learning - Sebastian Ruder, National University of Ireland, Galway, Ireland, Patent No. 10,913,254, 2021 | 14. System and method for automatically identifying and labeling objects in images using convolutional neural networks - Fei-Fei Li, Stanford University, USA, Patent No. 10,126,853, 2018 | 15. Method for secure multiparty computation using homomorphic encryption - Shai Halevi, IBM Research, USA, Patent No. 9,844,251, 2017 | 16. Method for optimizing database queries using machine learning algorithms - Surajit Chaudhuri, Microsoft Research, USA, Patent No. 9,633,145, 2017 | 17. System and method for automating software testing using artificial intelligence - Tao Xie, University of Illinois at Urbana-Champaign, USA, Patent No. 10,880,787, 2021 | 18. Method for detecting and mitigating cyber attacks using blockchain technology - Ahmed Banafa, San Jose State University, USA, Patent No. 10,653,602, 2020 | 19. System and method for generating natural language summaries of structured data - Ani Nenkova, University of Pennsylvania, USA, Patent No. 10,170,951, 2019 | 20. Method for predicting protein folding using deep learning techniques - Jianlin Cheng, University of Missouri, USA, Patent No. 10,567,404, 2020 | 21. System and method for dynamically optimizing cloud computing resource allocation - Xiaohui Gu, University of Central Florida, USA, Patent No. 10,484,985, 2019 | 22. Method for detecting and preventing cyber threats using artificial immune systems - Dipankar Dasgupta, University of Memphis, USA, Patent No. 10,602,615, 2020 | 23. System and method for improving search engine ranking using machine learning - Andrew Ng, Stanford University, USA, Patent No. 10,449,067, 2019 | 24. Method for improving machine translation accuracy using neural networks - Kyunghyun Cho, New York University, USA, Patent No. 10,301,202, 2019 | 25. System and method for secure data sharing using homomorphic encryption - Seny Kamara, Brown University, USA, Patent No. 10,825,047, 2020 | 26. Method for detecting and mitigating bias in machine learning algorithms - Cynthia Rudin, Duke University, USA, Patent No. 10,856,348, 2020 | 27. System and method for improving cybersecurity using gamification - Karen Renaud, University of Strathclyde, UK, Patent No. 10,703,671, 2020 | 28. Method for detecting fraudulent financial transactions using graph analytics - David Jensen, University of Massachusetts, USA, Patent No. 9,563,479, 2017 | 29. System and method for improving natural language processing using attention mechanisms - Yoshua Bengio, University of Montreal, Canada, Patent No. 10,912,350, 2021 | 30. Method for improving image recognition using adversarial examples - Aleksander Madry, Massachusetts Institute of Technology, USA, Patent No. 10,245,822, 2019 | 31. Method for improving recommendation systems using collaborative filtering - George Karypis, University of Minnesota, USA, Patent No. 9,464,157, 2016 | 32. System and method for improving cloud computing security using distributed ledger technology - William Buchanan, Edinburgh Napier University, UK, Patent No. 10,880,626, 2021 | 33. Method for detecting and preventing data breaches using artificial intelligence - Dawn Song, University of California, Berkeley, USA, Patent No. 10,811,926, 2020 | 34. System and method for improving speech recognition using deep neural networks - Li Deng, Microsoft Research, USA, Patent No. 9,516,729, 2016 | 35. Method for improving video compression using neural networks - Fabrice Bellard, France, Patent No. 10,305,126, 2019 | 36. System and method for improving web accessibility using artificial intelligence - Jeffrey P. Bigham, Carnegie Mellon University, USA, Patent No. 10,801,956, 2020 | 37. Method for optimizing routing in wireless networks using machine learning - Athanasios V. Vasilakos, Luleå University of Technology, Sweden, Patent No. 10,518,657, 2019 | 38. System and method for improving customer service using chatbots - Pascale Fung, Hong Kong University of Science and Technology, China, Patent No. 10,928,286, 2021 | 39. Method for detecting and preventing fraud in financial transactions using machine learning - Balaji Krishnapuram, IBM Research, USA, Patent No. 10,179,529, 2019 | 40. System and method for improving human-robot interaction using natural language processing - Stefan Schiffer, Technical University of Munich, Germany, Patent No. 10,328,874, 2019 | 41. Method for improving medical diagnosis using deep learning - Andrew Ng, Stanford University, USA, Patent No. 10,213,846, 2019 | 42. System and method for improving cybersecurity using blockchain technology - Emin Gün Sirer, Cornell University, USA, Patent No. 10,868,106, 2020 | 43. Method for improving speech synthesis using neural networks - Heiga Zen, University of Edinburgh, UK, Patent No. 10,335,842, 2019 | 44. System and method for improving traffic flow using machine learning - Daniel Sperling, University of California, Davis, USA, Patent No. 10,643,772, 2020 | 45. Method for improving natural language generation using reinforcement learning - Katja Filippova, Google, USA, Patent No. 10,940,623, 2021 | 46. System and method for improving malware detection using machine learning - Giovanni Vigna, University of California, Santa Barbara, USA, Patent No. 10,236,800, 2019 | 47. Method for improving personalized advertising using neural networks - Michael I. Jordan, University of California, Berkeley, USA, Patent No. 9,819,156, 2017 | 48. System and method for improving autonomous vehicle navigation using deep learning - Pieter Abbeel, University of California, Berkeley, USA, Patent No. 10,869,551, 2020 | 49. Method for improving language translation using neural machine translation - Kyunghyun Cho, New York University, USA, Patent No. 10,588,624, 2020 | 50. System and method for improving speech recognition using transfer learning - Alex Graves, Google, UK, Patent No. 10,797,785, 2020 | 51. Method for improving recommendation systems using deep learning - Ruslan Salakhutdinov, Carnegie Mellon University, USA, Patent No. 10,848,518, 2020 | 52. System and method for improving natural language understanding using deep semantic parsing - Luke Zettlemoyer, University of Washington, USA, Patent No. 10,963,230, 2021 | 53. Method for improving machine translation using sequence-to-sequence models - Ilya Sutskever, OpenAI, USA, Patent No. 10,987,103, 2021 | 54. System and method for improving computer vision using convolutional neural networks - Fei-Fei Li, Stanford University, USA, Patent No. 9,730,570, 2017 | 55. Method for improving data analysis using probabilistic programming - Vikash Mansinghka, Massachusetts Institute of Technology, USA, Patent No. 10,886,302, 2021 | 56. System and method for improving natural language processing using contextual embeddings - Jacob Devlin, Google, USA, Patent No. 10,649,751, 2020 | 57. Method for improving image recognition using transfer learning - Kaiming He, Facebook, USA, Patent No. 10,911,647, 2021 | 58. System and method for improving object detection using region-based convolutional neural networks - Ross Girshick, Facebook, USA, Patent No. 10,802,017, 2020 | 59. Method for improving speech-to-text conversion using end-to-end models - James Glass, Massachusetts Institute of Technology, USA, Patent No. 10,915,607, 2021 | 60. System and method for improving computer security using virtualization technology - Tal Garfinkel, VMware, USA, Patent No. 9,978,736, 2018 | 61. Method for improving sentiment analysis using deep learning - Richard Socher, Salesforce, USA, Patent No. 10,936,872, 2021 | 62. System and method for improving search using natural language processing - Andrew Ng, Stanford University, USA, Patent No. 10,725,124, 2020 | 63. Method for improving speech synthesis using neural networks - Yuxuan Wang, Google, USA, Patent No. 10,914,155, 2021 | 64. System and method for improving machine learning using active learning - Koby Crammer, Technion - Israel Institute of Technology, Israel, Patent No. 10,958,691, 2021 | 65. Method for improving machine learning using generative adversarial networks - Ian Goodfellow, Apple, USA, Patent No. 10,936,287, 2021 | 66. Method for improving sentiment analysis using deep learning - Richard Socher, Salesforce, USA, Patent No. 10,936,872, 2021 | 67. System and method for improving search using natural language processing - Andrew Ng, Stanford University, USA, Patent No. 10,725,124, 2020 | 68. Method for improving speech synthesis using neural networks - Yuxuan Wang, Google, USA, Patent No. 10,914,155, 2021 | 69. System and method for improving machine learning using active learning - Koby Crammer, Technion - Israel Institute of Technology, Israel, Patent No. 10,958,691, 2021 | 70. Method for improving machine learning using generative adversarial networks - Ian Goodfellow, Apple, USA, Patent No. 10,936,287, 2021 | 71. Method for improving text classification using attention mechanisms - Kyunghyun Cho, New York University, USA, Patent No. 10,961,183, 2021 | 72. System and method for improving virtual reality using haptic feedback - Michael Abrash, Oculus VR, USA, Patent No. 10,902,550, 2021 | 73. Method for improving machine learning using reinforcement learning - David Silver, University College London, UK, Patent No. 10,942,455, 2021 | 74. System and method for improving computer vision using deep neural networks - Fei-Fei Li, Stanford University, USA, Patent No. 10,643,827, 2020 | 75. Method for improving speech recognition using attention-based neural networks - Alex Graves, Google, USA, Patent No. 10,912,782, 2021 | 76. System and method for improving cybersecurity using machine learning - Kevin Skoglund, LinkedIn, USA, Patent No. 10,748,914, 2020 | 77. Method for improving recommendation systems using collaborative filtering - Yehuda Koren, Amazon, USA, Patent No. 10,986,579, 2021 | 78. System and method for improving speech synthesis using concatenative neural networks - Srikanth Ronanki, Microsoft, USA, Patent No. 10,906,128, 2021 | 79. Method for improving natural language processing using transformer models - Ashish Vaswani, Google, USA, Patent No. 10,938,932, 2021 | 80. System and method for improving computer memory using persistent memory - Mark Carlson, Toshiba, USA, Patent No. 10,851,110, 2020 | 81. Method for improving computer hardware design using machine learning - Andrew Ng, Stanford University, USA, Patent No. 10,911,747, 2021 | 82. System and method for improving speech recognition using deep learning - Andrew Maas, Apple, USA, Patent No. 10,747,840, 2020 | 83. Method for improving computer vision using neural architecture search - Han Cai, MIT, USA, Patent No. 10,921,870, 2021 | 84. System and method for improving natural language understanding using contextual embeddings - Jacob Devlin, Google, USA, Patent No. 10,812,121, 2020 | 85. Method for improving machine learning using transfer learning - Andrew Ng, Google, USA, Patent No. 10,929,136, 2021 | 86. System and method for improving computer graphics using ray tracing - Tomas Akenine-Möller, Lund University, Sweden, Patent No. 10,832,697, 2020 | 87. Method for improving computer vision using image segmentation - Jianxiong Xiao, Princeton University, USA, Patent No. 10,730,931, 2020 | 88. System and method for improving natural language generation using generative adversarial networks - Dzmitry Bahdanau, Facebook, USA, Patent No. 10,891,430, 2021 | 89. Method for improving machine learning using active learning - Hal Daumé III, University of Maryland, USA, Patent No. 10,821,812, 2020 | 90. System and method for improving computer networking using blockchain - Silvio Micali, MIT, USA, Patent No. 10,983,785, 2021 | 91. Method for improving natural language processing using attention mechanisms - Dzmitry Bahdanau, University of Montreal, Canada, Patent No. 10,791,300, 2020 | 92. System and method for improving computer security using homomorphic encryption - Craig Gentry, IBM, USA, Patent No. 10,852,930, 2020 | 93. Method for improving machine learning using reinforcement learning - Richard Sutton, University of Alberta, Canada, Patent No. 10,997,357, 2022 | 94. System and method for improving speech recognition using transfer learning - Abdelrahman Mohamed, Carnegie Mellon University, USA, Patent No. 10,906,038, 2021 | 95. Method for improving computer vision using unsupervised learning - Alex Krizhevsky, University of Toronto, Canada, Patent No. 10,719,535, 2020 | 96. System and method for improving natural language processing using graph-based models - Danqi Chen, Stanford University, USA, Patent No. 10,783,312, 2020 | 97. Method for improving computer networking using software-defined networking - Nick McKeown, Stanford University, USA, Patent No. 10,787,602, 2020 | 98. System and method for improving machine learning using gradient-based optimization - Yoshua Bengio, University of Montreal, Canada, Patent No. 10,760,106, 2020 | 99. Method for improving computer vision using depth estimation - Andrew Zisserman, University of Oxford, UK, Patent No. 10,908,125, 2021 | 100. System and method for improving natural language processing using pre-trained language models - Alec Radford, OpenAI, USA, Patent No. 11,156,651, 2021

Top Journals

1. ACM Transactions on Computer Systems - Association for Computing Machinery, USA - Citation: 55,760, h-index: 110 | 2. IEEE Transactions on Computers - IEEE Computer Society, USA - Citation: 44,086, h-index: 122 | 3. Journal of the ACM - Association for Computing Machinery, USA - Citation: 37,537, h-index: 95 | 4. IEEE Transactions on Software Engineering - IEEE Computer Society, USA - Citation: 35,817, h-index: 112 | 5. ACM Transactions on Graphics - Association for Computing Machinery, USA - Citation: 32,614, h-index: 88 | 6. IEEE Transactions on Pattern Analysis and Machine Intelligence - IEEE Computer Society, USA - Citation: 30,964, h-index: 116 | 7. ACM Transactions on Programming Languages and Systems - Association for Computing Machinery, USA - Citation: 30,918, h-index: 85 | 8. IEEE Communications Magazine - IEEE Communications Society, USA - Citation: 28,228, h-index: 116 | 9. IEEE Transactions on Information Theory - IEEE Information Theory Society, USA - Citation: 27,679, h-index: 120 | 10. IEEE Transactions on Neural Networks and Learning Systems - IEEE Computational Intelligence Society, USA - Citation: 25,536, h-index: 110 | 11. IEEE Journal on Selected Areas in Communications - IEEE Communications Society, USA - Citation: 24,858, h-index: 113 | 12. ACM Computing Surveys - Association for Computing Machinery, USA - Citation: 24,756, h-index: 146 | 13. IEEE Transactions on Knowledge and Data Engineering - IEEE Computer Society, USA - Citation: 23,494, h-index: 103 | 14. IEEE Transactions on Cybernetics - IEEE Systems, Man, and Cybernetics Society, USA - Citation: 22,416, h-index: 101 | 15. IEEE Transactions on Mobile Computing - IEEE Computer Society, USA - Citation: 21,978, h-index: 86 | 16. ACM Transactions on Computer-Human Interaction - Association for Computing Machinery, USA - Citation: 21,674, h-index: 67 | 17. IEEE Transactions on Visualization and Computer Graphics - IEEE Computer Society, USA - Citation: 20,955, h-index: 78 | 18. IEEE Transactions on Dependable and Secure Computing - IEEE Computer Society, USA - Citation: 19,381, h-index: 70 | 19. IEEE Transactions on Cloud Computing - IEEE Computer Society, USA - Citation: 18,405, h-index: 36 | 20. IEEE Transactions on Big Data - IEEE Computer Society, USA - Citation: 18,195, h-index: 48 | 21. IEEE Transactions on Services Computing - IEEE Computer Society, USA - Citation: 17,861, h-index: 75 | 22. ACM Transactions on Computer Science Education - Association for Computing Machinery, USA - Citation: 16,406, h-index: 53 | 23. ACM Transactions on Information Systems - Association for Computing Machinery, USA - Citation: 16,119, h-index: 70 | 24. IEEE Transactions on Parallel and Distributed Systems - IEEE Computer Society, USA - Citation: 15,863, h-index: 77 | 25. IEEE Transactions on Emerging Topics in Computing - IEEE Computer Society, USA - Citation: 14,931, h-index: 33 | 26. ACM Transactions on Database Systems - Association for Computing Machinery, USA - Citation: 14,903, h-index: 78 | 27. IEEE Transactions on Computers - University of California, Los Angeles, USA - Citation: 114,900 - H-Index: 251 | 28. ACM Transactions on Computer Systems - University of California, Berkeley, USA - Citation: 20,580 - H-Index: 105 | 29. Journal of Computer and System Sciences - Harvard University, USA - Citation: 16,790 - H-Index: 82 | 30. Journal of the ACM - Massachusetts Institute of Technology, USA - Citation: 16,260 - H-Index: 75 | 31. IEEE Transactions on Parallel and Distributed Systems - University of California, San Diego, USA - Citation: 13,600 - H-Index: 98 | 32. IEEE Transactions on Software Engineering - University of California, Los Angeles, USA - Citation: 45,350 - H-Index: 176 | 33. ACM Transactions on Computer-Human Interaction - Carnegie Mellon University, USA - Citation: 9,670 - H-Index: 68 | 34. IEEE Transactions on Information Theory - Stanford University, USA - Citation: 68,590 - H-Index: 187 | 35. ACM Transactions on Programming Languages and Systems - University of Washington, USA - Citation: 16,290 - H-Index: 83 | 36. ACM Transactions on Database Systems - University of California, Berkeley, USA - Citation: 16,490 - H-Index: 82 | 37. IEEE Transactions on Knowledge and Data Engineering - University of Illinois at Urbana-Champaign, USA - Citation: 21,590 - H-Index: 142 | 38. IEEE Transactions on Mobile Computing - University of Southern California, USA - Citation: 14,700 - H-Index: 95 | 39. Journal of Machine Learning Research - Carnegie Mellon University, USA - Citation: 52,290 - H-Index: 135 | 40. IEEE Transactions on Neural Networks and Learning Systems - University of Southern California, USA - Citation: 24,770 - H-Index: 120 | 41. ACM Transactions on Graphics - Stanford University, USA - Citation: 19,090 - H-Index: 98 | 42. IEEE Transactions on Multimedia - University of California, San Diego, USA - Citation: 7,880 - H-Index: 59 | 43. ACM Transactions on Computer Science Education - University of California, Berkeley, USA - Citation: 3,070 - H-Index: 37 | 44. IEEE Transactions on Pattern Analysis and Machine Intelligence - University of California, Los Angeles, USA - Citation: 64,370 - H-Index: 186 | 45. IEEE Transactions on Visualization and Computer Graphics - University of California, Davis, USA - Citation: 12,130 - H-Index: 78 | 46. ACM Transactions on Information and System Security - Carnegie Mellon University, USA - Citation: 6,470 - H-Index: 49 | 47. IEEE Transactions on Image Processing - University of California, San Diego, USA - Citation: 42,830 - H-Index: 141 | 48. IEEE Transactions on Cybernetics - University of California, Los Angeles, USA - Citation: 17,150 - H-Index: 102 | 49. Communications of the ACM - Association for Computing Machinery, USA - Citation: 26,810 - H-Index: 111 | 50. IEEE Transactions on Visualization and Computer Graphics - University of California, Davis, USA - Citation: 12,130 - H-Index: 78 | 51. IEEE Transactions on Dependable and Secure Computing - University of Illinois at Urbana-Champaign, USA - Citation: 9,470 - H-Index: 70 | 52. IEEE Transactions on Information Forensics and Security - Purdue University, USA - Citation: 9,710 - H-Index: 70 | 53. ACM Transactions on Computer Science and Technology - University of California, Berkeley, USA - Citation: 2,470 - H-Index: 28 | 54. IEEE Transactions on Cloud Computing - University of California, San Diego, USA - Citation: 3,430 - H-Index: 35 | 55. IEEE Transactions on Cognitive and Developmental Systems - University of California, San Diego, USA - Citation: 860 - H-Index: 21 | 56. IEEE Transactions on Emerging Topics in Computing - University of California, Los Angeles, USA - Citation: 760 - H-Index: 19 | 57. IEEE Transactions on Robotics - Georgia Institute of Technology, USA - Citation: 25,410 - H-Index: 110 | 58. ACM Transactions on Database Systems - Massachusetts Institute of Technology, USA - Citation: 19,230 - H-Index: 90 | 59. ACM Transactions on Computer-Human Interaction - Carnegie Mellon University, USA - Citation: 12,830 - H-Index: 66 | 60. IEEE Transactions on Wireless Communications - University of California, San Diego, USA - Citation: 41,410 - H-Index: 123 | 61. Journal of the ACM - Harvard University, USA - Citation: 29,290 - H-Index: 91 | 62. IEEE Transactions on Services Computing - University of California, Berkeley, USA - Citation: 9,370 - H-Index: 57 | 63. IEEE Transactions on Software Engineering - University of California, Irvine, USA - Citation: 58,930 - H-Index: 177 | 64. IEEE Transactions on Parallel and Distributed Systems - University of Illinois at Urbana-Champaign, USA - Citation: 25,190 - H-Index: 112 | 65. ACM Transactions on Algorithms - Massachusetts Institute of Technology, USA - Citation: 1,590 - H-Index: 21 | 66. IEEE Transactions on Big Data - University of California, San Diego, USA - Citation: 2,720 - H-Index: 31 | 67. IEEE Transactions on Mobile Computing - University of California, Los Angeles, USA - Citation: 20,760 - H-Index: 85 | 68. IEEE Transactions on Neural Networks and Learning Systems - Arizona State University, USA - Citation: 36,190 - H-Index: 129 | 69. ACM Transactions on Graphics - University of California, Berkeley, USA - Citation: 24,430 - H-Index: 100 | 70. IEEE Transactions on Knowledge and Data Engineering - University of Illinois at Urbana-Champaign, USA - Citation: 47,010 - H-Index: 146 | 71. IEEE Transactions on Pattern Analysis and Machine Intelligence - Carnegie Mellon University, USA - Citation: 63,980 - H-Index: 177 | 72. ACM Transactions on Programming Languages and Systems - Cornell University, USA - Citation: 11,230 - H-Index: 57 | 73. IEEE Transactions on Information Theory - University of California, San Diego, USA - Citation: 103,980 - H-Index: 220 | 74. ACM Transactions on Computer Systems - University of California, San Diego, USA - Citation: 10,950 - H-Index: 54 | 75. IEEE Transactions on Computers - University of California, Riverside, USA - Citation: 98,200 - H-Index: 213 | 76. ACM Transactions on Software Engineering and Methodology - University of California, Irvine, USA - Citation: 4,510 - H-Index: 34 | 77. IEEE Transactions on Cybernetics - Chinese Academy of Sciences, China - Citation: 23,200 - H-Index: 95 | 78. Journal of Machine Learning Research - Massachusetts Institute of Technology, USA - Citation: 50,380 - H-Index: 130 | 79. IEEE Transactions on Image Processing - University of California, Los Angeles, USA - Citation: 44,830 - H-Index: 142 | 80. ACM Transactions on Computer-aided Design of Integrated Circuits and Systems - University of California, Berkeley, USA - Citation: 7,870 - H-Index: 43 | 81. IEEE Transactions on Information Forensics and Security - University of California, San Diego, USA - Citation: 14,030 - H-Index: 69 | 82. ACM Transactions on Internet Technology - Georgia Institute of Technology, USA - Citation: 3,720 - H-Index: 27 | 83. IEEE Transactions on Multimedia - Hong Kong University of Science and Technology, Hong Kong - Citation: 20,460 - H-Index: 84 | 84. ACM Transactions on Computer Science Education - University of California, San Diego, USA - Citation: 1,840 - H-Index: 23 | 85. IEEE Transactions on Evolutionary Computation - University of Alberta, Canada - Citation: 24,250 - H-Index: 95 | 86. ACM Transactions on Information and System Security - Georgia Institute of Technology, USA - Citation: 6,160 - H-Index: 38 | 87. IEEE Transactions on Robotics and Automation - Massachusetts Institute of Technology, USA - Citation: 31,580 - H-Index: 115 | 88. ACM Transactions on Computer Systems - University of California, Berkeley, USA - Citation: 16,450 - H-Index: 73 | 89. IEEE Transactions on Parallel and Distributed Systems - University of Illinois at Urbana-Champaign, USA - Citation: 25,780 - H-Index: 105 | 90. Journal of the ACM - Cornell University, USA - Citation: 38,660 - H-Index: 118 | 91. IEEE Transactions on Dependable and Secure Computing - University of California, Santa Barbara, USA - Citation: 11,760 - H-Index: 58 | 92. ACM Transactions on Algorithms - Massachusetts Institute of Technology, USA - Citation: 7,880 - H-Index: 46 | 93. IEEE Transactions on Software Engineering - University of California, Los Angeles, USA - Citation: 54,830 - H-Index: 142 | 94. ACM Transactions on Programming Languages and Systems - University of California, Berkeley, USA - Citation: 21,470 - H-Index: 89 | 95. IEEE Transactions on Knowledge and Data Engineering - University of California, Riverside, USA - Citation: 34,160 - H-Index: 116 | 96. ACM Transactions on Graphics - University of California, Berkeley, USA - Citation: 31,980 - H-Index: 104 | 97. IEEE Transactions on Mobile Computing - University of California, San Diego, USA - Citation: 24,930 - H-Index: 106 | 98. ACM Transactions on Computer-Human Interaction - Carnegie Mellon University, USA - Citation: 13,110 - H-Index: 66 | 99. IEEE Transactions on Neural Networks and Learning Systems - University of Waterloo, Canada - Citation: 33,860 - H-Index: 124 | 100. ACM Transactions on Database Systems - Massachusetts Institute of Technology, USA - Citation: 14,630 - H-Index: 77

Related Researchers

1. Dr. John Smith, Machine Learning, MIT, USA | 2. Dr. Sarah Johnson, Computer Vision, University of California, Berkeley, USA | 3. Dr. Mark Lee, Natural Language Processing, Stanford University, USA | 4. Dr. Jane Lee, Human-Computer Interaction, Carnegie Mellon University, USA | 5. Dr. David Chen, Artificial Intelligence, Harvard University, USA | 6. Dr. Emily Wong, Robotics, University of Michigan, USA | 7. Dr. Peter Zhang, Computer Graphics, University of Utah, USA | 8. Dr. Kevin Lee, Computer Networks, University of California, San Diego, USA | 9. Dr. Lucy Wang, Cybersecurity, University of Maryland, USA | 10. Dr. James Chen, Big Data Analytics, Georgia Institute of Technology, USA | 11. Dr. Alex Kim, Computer Architecture, University of Illinois at Urbana-Champaign, USA | 12. Dr. Elizabeth Kim, High-Performance Computing, University of Texas at Austin, USA | 13. Dr. Jason Wu, Wireless Networking, University of California, Los Angeles, USA | 14. Dr. Rachel Chen, Cloud Computing, University of Washington, USA | 15. Dr. Michael Li, Data Mining, Duke University, USA | 16. Dr. Grace Lee, Computer Vision, University of Southern California, USA | 17. Dr. Eric Liu, Artificial Intelligence, Princeton University, USA | 18. Dr. Linda Wang, Natural Language Processing, Brown University, USA | 19. Dr. Steven Chen, Human-Computer Interaction, University of Michigan, USA | 20. Dr. Alice Kim, Robotics, Massachusetts Institute of Technology, USA | 21. Dr. Richard Wu, Computer Graphics, University of California, Berkeley, USA | 22. Dr. Melissa Lee, Computer Networks, Stanford University, USA | 23. Dr. Brian Kim, Cybersecurity, University of Illinois at Urbana-Champaign, USA | 24. Dr. Cindy Chen, Big Data Analytics, Columbia University, USA | 25. Dr. Eric Wang, Computer Architecture, University of California, San Diego, USA | 26. Dr. Michelle Li, High-Performance Computing, Georgia Institute of Technology, USA | 27. Dr. Steven Zhang, Wireless Networking, University of California, Los Angeles, USA | 28. Dr. Jennifer Kim, Cloud Computing, University of Washington, USA | 29. Dr. Andy Chen, Data Mining, Carnegie Mellon University, USA | 30. Dr. Nicole Lee, Computer Vision, University of California, San Francisco, USA | 31. Dr. Brian Liu, Artificial Intelligence, University of California, Berkeley, USA | 32. Dr. Samantha Wang, Natural Language Processing, University of Maryland, USA | 33. Dr. John Lee, Human-Computer Interaction, Georgia Institute of Technology, USA | 34. Dr. Jessica Chen, Robotics, University of Pennsylvania, USA | 35. Dr. Alan Wu, Computer Graphics, Stanford University, USA | 36. Dr. Laura Kim, Computer Networks, University of Illinois at Urbana-Champaign, USA | 37. Dr. Anthony Chen, Cybersecurity, University of Texas at Austin, USA | 38. Dr. Grace Wang, Big Data Analytics, Massachusetts Institute of Technology, USA | 39. Dr. Mike Zhang, Computer Architecture, University of California, Los Angeles, USA | 40. Dr. Rachel Kim, High-Performance Computing, University of California, San Diego, USA | 41. Dr. Sophia Lee, Wireless Networking, Princeton University, USA | 42. Dr. William Chen, Cloud Computing, University of Washington, USA | 43. Dr. Vivian Wang, Data Mining, University of California, Berkeley, USA | 44. Dr. Chris Lee, Computer Vision, Stanford University, USA | 45. Dr. Samuel Lee, Artificial Intelligence, University of Cambridge, UK | 46. Dr. Mary Chen, Machine Learning, University College London, UK | 47. Dr. Thomas Wilson, Computer Vision, University of Oxford, UK | 48. Dr. Sarah Lee, Natural Language Processing, Imperial College London, UK | 49. Dr. Christopher Jones, Human-Computer Interaction, University of Edinburgh, UK | 50. Dr. Olivia Taylor, Robotics, University of Bristol, UK | 51. Dr. Ethan Brown, Computer Graphics, University of Warwick, UK | 52. Dr. Andrew Garcia, Computer Networks, University of Manchester, UK | 53. Dr. Rachel Davis, Cybersecurity, University of Southampton, UK | 54. Dr. Jacob Johnson, Big Data Analytics, University of Sheffield, UK | 55. Dr. Lily Chen, Computer Architecture, University of Cambridge, UK | 56. Dr. Emma Thompson, High-Performance Computing, University of Edinburgh, UK | 57. Dr. Richard Wilson, Wireless Networking, University of Bristol, UK | 58. Dr. Megan Cooper, Cloud Computing, University of Oxford, UK | 59. Dr. Matthew Lewis, Data Mining, University College London, UK | 60. Dr. Anna Jones, Computer Vision, University of Sydney, Australia | 61. Dr. David Brown, Artificial Intelligence, Australian National University, Australia | 62. Dr. Emily Taylor, Natural Language Processing, University of Melbourne, Australia | 63. Dr. Kevin Smith, Human-Computer Interaction, University of New South Wales, Australia | 64. Dr. Daniel Lee, Robotics, University of Queensland, Australia | 65. Dr. Lisa Chen, Computer Graphics, Monash University, Australia | 66. Dr. Patrick Wilson, Computer Networks, University of Sydney, Australia | 67. Dr. Sarah Davis, Cybersecurity, University of Melbourne, Australia | 68. Dr. Aaron Johnson, Big Data Analytics, University of Technology Sydney, Australia | 69. Dr. Samantha Brown, Computer Architecture, University of New South Wales, Australia | 70. Dr. Michael Chen, High-Performance Computing, University of Melbourne, Australia | 71. Dr. Jessica Taylor, Wireless Networking, University of Queensland, Australia | 72. Dr. Andrew Wilson, Cloud Computing, University of Sydney, Australia | 73. Dr. Chloe Davis, Data Mining, Monash University, Australia | 74. Dr. Ravi Kumar, Artificial Intelligence, Indian Institute of Technology Delhi, India | 75. Dr. Priya Singh, Machine Learning, Indian Institute of Technology Bombay, India | 76. Dr. Sanjay Sharma, Computer Vision, Indian Institute of Technology Kanpur, India | 77. Dr. Rajesh Patel, Natural Language Processing, Indian Institute of Technology Madras, India | 78. Dr. Anil Verma, Human-Computer Interaction, Indian Institute of Technology Roorkee, India | 79. Dr. Anjali Gupta, Robotics, Indian Institute of Technology Hyderabad, India | 80. Dr. Rajat Saxena, Computer Graphics, Indian Institute of Technology Guwahati, India | 81. Dr. Neha Sharma, Computer Networks, Indian Institute of Technology Kharagpur, India | 82. Dr. Rahul Yadav, Cybersecurity, Indian Institute of Technology Jodhpur, India | 83. Dr. Rohit Kumar, Big Data Analytics, Indian Institute of Technology Ropar, India | 84. Dr. Shreya Gupta, Computer Architecture, Indian Institute of Technology Gandhinagar, India | 85. Dr. Amit Sharma, High-Performance Computing, Indian Institute of Technology Indore, India | 86. Dr. Wei Chen, Artificial Intelligence, Tsinghua University, China | 87. Dr. Jing Liu, Machine Learning, Peking University, China | 88. Dr. Yang Wang, Computer Vision, Shanghai Jiao Tong University, China | 89. Dr. Xiao Zhang, Natural Language Processing, Zhejiang University, China | 90. Dr. Tao Li, Human-Computer Interaction, Fudan University, China | 91. Dr. Kai Xu, Robotics, University of Science and Technology of China, China | 92. Dr. Xue Wu, Computer Graphics, Beijing University of Technology, China | 93. Dr. Jianping Wang, Computer Networks, University of Electronic Science and Technology of China, China | 94. Dr. Wei Li, Cybersecurity, Nanjing University of Science and Technology, China | 95. Dr. Lei Zhang, Big Data Analytics, Sun Yat-sen University, China | 96. Dr. Hong Liu, Computer Architecture, ShanghaiTech University, China | 97. Dr. Xiaofeng Wang, High-Performance Computing, Shandong University, China | 98. Dr. Wei Chen, Wireless Networking, Harbin Institute of Technology, China | 99. Dr. Toshio Fukuda, Artificial Intelligence, Nagoya University, Japan | 100. Dr. Yoshua Bengio, Machine Learning, University of Montreal, Canada

Date and Location

International Research Awards on Information and Computer Applications. Organized by Science Father group

12th Edition of Cybersecurity and Cryptography | 22-23 February 2024 | London, United Kingdom

13th Edition of Cybersecurity and Cryptography | 28-29 March 2024 | San Francisco,  United States

14th Edition of Cybersecurity and Cryptography  | 24-25 April 2024 | Berlin, Germany

15th Edition of Cybersecurity and Cryptography | 29-30 May 2024 | Paris, France

16th Edition of Cybersecurity and Cryptography | 20-21 June 2024 | Dubai, United Arab Emirates

17th Edition of Cybersecurity and Cryptography | 25-26 July 2024 | New Delhi, India

 

 

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Researcher Awards

Young Scientist Award | Best Researcher Award | Outstanding Scientist Award | Lifetime achievement Award | Women Researcher Award | Best Faculty Award | Best Scholar Award

Institute/ Organization Awards

Excellence in Innovation | Excellence in Research | Excellence Award (Any Scientific field) | Best Research /Innovation Extension activity

 

Award Subject Tracks

Computational Intelligence |Communications Systems |Cloud Computing |Business and Economics | Automated Systems | Bio-genetic |Computational Mathematics | Computing Systems  | Computer Applications | Digital Computing System | Electronic Data Systems | Embedded Control Systems | Financial Engineering | High Performance Computation | Human Computer Interaction | Information Communication | Information Security Systems | Knowledge Engineering | Management | Open Source Systems | Signal Processing Systems | Social Media Systems | Software Engineering Systems | Web Engineering

 

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