Academic Profile : Faculty
Assoc Prof Wai Kin Adams Kong
Associate Professor, College of Computing & Data Science
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Dr. Adams Wai-Kin Kong received the Ph.D. degree from the University of Waterloo, Canada. Currently, he is an associate professor at the Nanyang Technological University, Singapore and the director of Master of Science in Artificial Intelligence programme. His research works have been published in major AI conferences and journals. One of his papers was selected as a spotlight paper by IEEE Transactions on Pattern Analysis and Machine Intelligence and another one was selected as Honorable Mention by Pattern Recognition. He is listed in Stanford University's Top 2% Scientists’ Study. His PhD students received Best Student Paper Awards in The IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2012 and IEEE International Conference on Bioinformatics and Bioengineering, 2013. In 2016, he received the best reviewer award from BTAS. In the summer of 2008, he served as an expert witness to the U.S. Department of Justice for the child sexual abuse case, United States v, Michael Pepe. He also serves as a consultant for other legal cases in Singapore and as an associate editor for IEEE Transactions on Information Forensics and Security. In 2022, Dr. Kong was nominated for the MSc in Business Analytics Teacher of the Year Award and received faculty award from his school. His recent research interests include pattern recognition, deep learning and their applications on power systems, healthcare, and biometrics.
His recent research interests include pattern recognition, deep learning and their applications on power systems, healthcare, and biometrics.
- Evaluating, Detecting, and Mitigating the Risks of Diffusion Models for Fair, Robust, and Toxic Content-Free Generative AI
- Transferable Adversarial Example Generation and Selection
- Digital Trust Centre (a.k.a. The National Centre for Research in Digital Trust (NCDT))
- Strategic Centre For Research In Privacy-Preserving Technologies & Systems (SCRIPTS)
- Development of Electric Vertical Take-Off and Landing (eVTOL) Aircraft in Singapore
US 2016/0004918 A1: Use of Relatively Permanent Pigmented or Vascular Skin Mark Patterns in Images for Personal Identification (2017)
Abstract: Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.
US2014/0016832A1: Method And An Apparatus For Determining Vein Patterns From A Colour Image (2016)
Abstract: The present invention is directed to a method of determining vein patterns from a colour image for personal identification, the method comprising forming a counterpart of the colour image by applying a functional relationship obtained from optimization on the colour image, wherein the counterpart of the colour image comprises the vein patterns. An apparatus for determining vein patterns from a colour image is also disclosed.
US 2012/0275663 A1: Use of Relatively Permanent Pigmented or Vascular Skin Mark Patterns in Images for Personal Identification (2014)
Abstract: Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.
Abstract: Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.
US2014/0016832A1: Method And An Apparatus For Determining Vein Patterns From A Colour Image (2016)
Abstract: The present invention is directed to a method of determining vein patterns from a colour image for personal identification, the method comprising forming a counterpart of the colour image by applying a functional relationship obtained from optimization on the colour image, wherein the counterpart of the colour image comprises the vein patterns. An apparatus for determining vein patterns from a colour image is also disclosed.
US 2012/0275663 A1: Use of Relatively Permanent Pigmented or Vascular Skin Mark Patterns in Images for Personal Identification (2014)
Abstract: Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.
Awards
• Nominated for the MSc in Business Analytics Teacher of the Year Award 2022-2024.
• World’s Top 2% Scientists on Stanford University List, 2021-2024
• Best reviewer award, given by IEEE International Conference on Biometrics: Theory, Applications, and Systems 2016
• The paper entitled “A Statistical Analysis of IrisCode and its Security Implications” published in TPAMI was highlighted by IEEE Biometrics Council Newsletter, Nov, 2015.
• Team Excellence Symposium Gold Award of SPF Innovation Awards Ceremony 2013 (with Singapore Police Force)
• Silver Award in the Home Team (Singapore) Policy/Process Innovation of the Year. 2013 (with Singapore Police and Dr. Kong’ team members)
• Honeywell Best Student Paper Award by The IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2012 (with Dr. Kong’s PhD students, Hengyi Zhang and Chaoying Tang and Dr. Noah Craft MD PhD. BTAS is a flagship biometric conference. One best student paper award was given.).
• Honorable Mention, the Journal of Pattern Recognition, 2012.
• Spotlight Paper, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), March issue, 2012.
• Plaque for appreciation of the contributions to the successful prosecution of U.S. v. Michael Pepe, from the U.S. Immigrations and Customs Enforcement, May 2008.
• Finalist of the 4th Young Inventor Awards, Far Eastern Economic Review and Hewlett Packard, 2003
• World’s Top 2% Scientists on Stanford University List, 2021-2024
• Best reviewer award, given by IEEE International Conference on Biometrics: Theory, Applications, and Systems 2016
• The paper entitled “A Statistical Analysis of IrisCode and its Security Implications” published in TPAMI was highlighted by IEEE Biometrics Council Newsletter, Nov, 2015.
• Team Excellence Symposium Gold Award of SPF Innovation Awards Ceremony 2013 (with Singapore Police Force)
• Silver Award in the Home Team (Singapore) Policy/Process Innovation of the Year. 2013 (with Singapore Police and Dr. Kong’ team members)
• Honeywell Best Student Paper Award by The IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2012 (with Dr. Kong’s PhD students, Hengyi Zhang and Chaoying Tang and Dr. Noah Craft MD PhD. BTAS is a flagship biometric conference. One best student paper award was given.).
• Honorable Mention, the Journal of Pattern Recognition, 2012.
• Spotlight Paper, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), March issue, 2012.
• Plaque for appreciation of the contributions to the successful prosecution of U.S. v. Michael Pepe, from the U.S. Immigrations and Customs Enforcement, May 2008.
• Finalist of the 4th Young Inventor Awards, Far Eastern Economic Review and Hewlett Packard, 2003