The document summarizes the research capabilities and projects of the Cognitive Ubiquitous Computing Systems (CUBS) lab at SUNY Buffalo, led by Distinguished Professor Venu Govindaraju. The lab has strengths in multiple disciplines relevant to biometrics, document analysis, and security. It has a strong track record of technology transfer to industry partners and government sponsors such as the US Postal Service. Current research projects include biometric identification, document recognition, and enhancing security through techniques such as soft biometrics and detecting human versus synthetic inputs. The lab also has over 10 current PhD students and has graduated over 20 PhD alumni.

1. CUBS R&D Portfolio VenuGovindaraju Distinguished Professor, SUNY Buffalo

2. Overview Unique Capabilities Sponsors Technology Transfer Record Projects Biometrics Document Recognition and Retrieval Security People

3. Unique Capabilities Faculty strengths in multiple disciplines Behavioral Sciences, Social Issues Computer Vision, Visualization Chemical and Biological Sensors Pattern Recognition, Machine Learning Smart Environments, Pervasive Computing Spectroscopy Solid record of transferring of technology to field Large pool of current PhD students (10) Growing pool of PhD alumni in industry (25) Several current projects with industry

5. Defense Intelligence Agency (DIA)

6. Directorate of Central Intelligence (DCI)

7. National Endowment of Humanities (NEH)

8. National Science Foundation (NSF)

9. NYSTAR

11. BIOMETRICS CUBS

12. Anthropometrics SKIN TONE

13. Fingerprint Indexing Enrollment Phase Searching Phase

14. CryptographyCancelable Biometrics

15. SensorsSkin spectroscopy and “liveness”

16. Fusion

17. Spoofing in Multimodal Systems

18. Facial Passwords

19. Q: The suspect is male 1st Iteration Pruned Set Q: The suspect has a beard 2nd Iteration Pruned Set Q: The suspect wears spectacles 3rd Iteration SUSPECT Soft BiometricsSemantic Face Retrieval Original Set

20. Unobtrusive People Tracking Freedom from Continuous Surveillance RECOGNIZE REASON Evolutionary Recognition RETRIEVE Did Bob and Frank meet at the library yesterday? Given building map, occupants, schedules, sensor locations

21. Soft Biometrics Crash scene analysis

22. DOCUMENT RECOGNITION AND RETRIEVAL CUBS

23. Document Enhancement,

24. Multilingual Information Retrieval Q: Can we have a searchable archive of world’s newspapers? Q: All newspapers in any language translated to a common language? Central Repository Searchable database (digitized)

25. Smart EMR

26. Handwriting Forensics

27. ? ? ? Web SecurityVerify humanness MACHINES FAIL Synthetic handwriting generator poses questions in varying writing styles English! HUMANS SUCCEED

28. security CUBS

29. Soft BiometricsExpressions + = AU 6 AU 12 AU 6 & 12 + + = AU 1 AU 2 AU 4 AU 1, 2 & 4 + + = AU 1 AU 4 AU 15 AU 1, 4 & 15 FACS FEAR HAPPY ANGER SAD FEAR HAPPY SAD Facial Expression Manifold

30. Gaze Tracking

31. Soft BiometricsEmotional States

32. Deceit and Verity

33. PEOPLE CUBS

34. PeopleFaculty Frank Bright SUNY Distinguished Professor Biological, Chemical Sensors VenuGovindaraju SUNY Distinguished Professor Machine Learning Director Mark Frank Professor Behavioral Sciences Raymond Fu Assistant Professor Computer Vision, Visualization Alex Cartwright Professor Spectroscopy, Photonics Bharat Jayaraman Professor Cyber Physical Systems

36. PeopleCurrent PhD students; Research topics Xi Cheng Biometric Fusion Gaurav Kumar Mobile Device Apps UtkarshPoruwal People Tracking ChetanRamaiah Writer Identification Manavender Reddy Gesture Recognition Ricardo N. Rodriguez Multimodal Fusion ArtiShivaram Mobile Device Apps SafwanWshah Arabic Handwriting Recognition Daekeun You Medical Analytics Yingbou Zhou Image Segmentation

37. Ph.D. Alumni (22)

38. References

39. Contact VenuGovindaraju venu@cubs.buffalo.edu University at Buffalo State University of New York