Prabir Bhattacharya

Prabir Bhattacharya

Image understanding, machine learning and information security

The World Within Reach
Prabir Bhattacharya
Chair and Professor
 

College of Engineering and Applied Sciences
Department: Computer Science

Address:
UAB 405
Phone:
518-437-4934

 

Introduction

Professor Prabir Bhattacharya is the Department Chair of the Computer Science Department. Before joining Albany in Fall 2018, he was at the Morgan State University, Baltimore, Maryland during 2015-18 (where he was the Department Head of Computer Science, and also served as a Co-Director of the National Center of Excellence in Cybersecurity Education approved by the National Security Agency and the Department of Homeland Security); at the University of Cincinnati, Ohio during 2009-15 (where he was the Department Head of Computer Science during 2009-12); at the Concordia University, Montreal, Canada during 2004-2009 (where he held a “Canada Research Chair”, Tier 1 in Information Systems Engineering); and at the University of Nebraska-Lincoln during 1986-1999 in the Department of Computer Science and Engineering. During 1999-2004, he worked at the Panasonic Information and Networking Technologies Lab in Princeton, New Jersey as a Principal Scientist and Project Leader.

For over 32 years, he has been involved in teaching and research in the computer science field. Professor Bhattacharya has graduated 12 PhD students and 14 Masters students; two of his former PhD students are now serving as Full Professors in USA.

He is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) (elected in 2002), a Fellow of the American Association for the Advancement of Science (AAAS) (elected in 2012) and a Fellow of the International Association of Pattern Recognition (IAPR) (elected in 2002).

Education

  • PhD in Mathematics - University of Oxford, UK
  • B.A. and M. A. in Mathematics - St. Stephen's College, University of Delhi, India

Research Interests

Professor Prabir Bhattacharya's current research interests include image understanding, machine learning and information security. He has also strong interdisciplinary research interests and collaborated with environmental engineers, biologists, medical doctors, neuroscientists, biomedical engineers and statisticians.

Additional Information

In 2008, Dr. Bhattacharya received an Outstanding Contributions Award from the IEEE System, Man and Cybernetics Society. He received the Best Paper Award in the 3rd International Conference on Artificial Intelligence in Pune, India in 2007. He has been an ACM National Lecturer and a Distinguished Visitor of the IEEE Computer Society. He has been an Invited Speaker or Keynote Speaker in many technical conferences in Canada, China, India, Italy and the USA.

Dr. Bhattacharya’s research has been cited as references in about 130 US Patents including by the Microsoft (18 times), Google, Apple, IBM, AT&T, Disney, SAP, Sony, Samsung, Honeywell, etc. He has received external funding as the Principal Investigator from the NSF, AFOSR, BMDO, NIH, NASA, NSERC and the Intel Corporation.

Dr. Bhattacharya has been on the editorial boards of the IEEE Transactions on Cybernetics (where he served as the Associate Editor-in-Chief for one term), Pattern Recognition, Pattern Recognition Letters, and the International Journal of Pattern Recognition and Artificial Intelligence. Also, he was on the editorial board of the IEEE Computer Society Press.

Dr. Bhattacharya’s research on emotion recognition from the facial images of humans had received wide media attention – it was reported worldwide in over 30 magazines and websites, including the ACM Tech News, and the American Society of Mechanical Engineers (ASME) magazine.

Dr. Bhattacharya had been a Visiting Full Professor (courtesy title) for many years at the Center for Automation Research of the University of Maryland, College Park where he collaborated extensively with Prof. Azriel Rosenfeld. Also, he had been a Visiting Professor for a summer at the Hong Kong Polytechnic University in the School of Computing. For many years, he had been an Adjunct Full Professor (courtesy title) at the McGill University, Faculty of Medicine where he had collaborated with a team of doctors on the early detection of ovarian cancer using ultrasound images. He had been a Visiting Member at the European Molecular Biology Laboratories (EMBL) in Heidelberg, Germany. He is currently an affiliated Full Professor at the Concordia University, Montreal, Canada in the Institute for Information Systems Engineering.

In 2015, at the University of Cincinnati in Ohio, the undergraduates in all the Departments together of the College of Engineering and Applied Sciences voted Dr. Bhattacharya as the "Professor of the Semester". In 2017, at the Morgan State University in Baltimore, Maryland, he received a Certificate of Appreciation from the students living in the campus with the highest GPA – for (according to the citation) “being pivotal in their academic success and growth”.

Publications

Dr. Bhattacharya has co-authored over 337 publications including about 130 journal papers; also he holds 4 US Patents.

Selected Journal Publications

1. M. GUO and P. BHATTACHARYA, “Mechanism Design for the Data Replica Placement Problem in Strategic Settings,” Journal of Privacy and Security, vol. 12 (1), pp. 32-54 (2016).

2. S. ADUSUMILLI, D. BHATT, H. WANG, P. BHATTACHARYA, V. DEVABHAKTUNI, “A novel hybrid approach utilizing principal component regression and random forest regression to bridge the period of GPS outages,” Neurocomputing, vol. 166, pp. 185-192 (2015).

3. M. YEKETAII, O. AHMAD AND P. BHATTACHARYA, “A Method for Determining the Number of Features in the Kernel Space Required for Preserving Classifiability,” Signal, Image and Video Processing, vol. 9, no. 7, pp. 1649-1658 (2015).

4. M. YEKETAII, O. AHMAD AND P. BHATTACHARYA, “A Method for Determining the Number of Features in the Kernel Space Required for Preserving Classifiability,” Signal, Image and Video Processing, vol. 9, no. 7, pp. 1649-1658 (2015).

5. P. BHATTACHARYA, LI YANG, M. GUO, K. QIAN, and M. YANG, “Learning Mobile Security with Labware,” IEEE Security & Privacy, vol. 12, no. 1, pp. 69-72 (2014).

6. P. GUO and P. BHATTACHARYA, “An Evolutionary Framework for Detecting Protein Conformation Defects,” Information Sciences, vol. 276, pp. 332-342 (2014).

7. D. BHATT, P. AGGARWAL, P. BHATTACHARYA AND V. DEVABHAKTUNI, “A Novel Hybrid Fusion Algorithm to Bridge the Period of GPS outages using Low-Cost INS System,” Expert Systems with Applications, vol. 41, no. 5, pp. 2166-2173 (2014).

8. Z. TU and P. BHATTACHARYA, “Game-theoretic Surveillance over Arbitrary Floor Plan Using a Video Camera Network,” Signal, Image and Video Processing, vol. 7, no. 4, pp. 706-721 (2013).

9. P. AGGARWAL, D. BHATT; V. DEVABHAKTUNI, P. BHATTACHARYA, “Dempster Shafer Neural Network Algorithm for Land Vehicle Navigation Application,” Information Sciences, vol. 253, no. 20, pp. 26-33 (2013).

10. P. GUO and P. BHATTACHARYA, “Detection of Protein Conformation Defects from Fluorescence Microscopy Images,” Engineering Applications of Artificial Intelligence, vol. 26, no. 8, pp. 1936-1941 (2013).

11. D. BHATT, P. AGGARWAL, P. BHATTACHARYA AND V. DEVABHAKTUNI, “An Enhanced MEMS Error Modeling Approach Based on Nu-Support Vector Regression,” Sensors, vol. 12 (no. 7), pp. 9448-9468 (2012)

12. K. MOGIREDDY, V. DEVABHAKTUNI, A. KUMAR, P. AGGARWAL AND P. BHATTACHARYA, “A New Approach to Simulate Characterization of Particulate Matter Employing Support Vector Machines,” Journal of Hazardous Material, vol. 186, pp. 1254-1262 (2011).

13. N. MOHAMED, H. OTROK, L. WANG, M. DEBBABI AND P. BHATTACHARYA, “Mechanism Design-Based Secure Leader Election Schemes for Mobile Ad Hoc Networks,” IEEE Transactions on Dependable and Secure Computing, vol. 8, no. 1, pp. 89-103 (2011).

14. Y. LIN, G. YANG AND P. BHATTACHARYA, “A Driver Fatigue Recognition Model Based on Information Fusion and Dynamic Bayesian Network,” Information Sciences, vol. 180, pp. 1942-1954 (2010).

15. E.E. ABDALLAH, A. BEN HAMZA AND P. BHATTACHARYA, “Video Watermarking using Wavelet Transform and Tensor Algebra,” Signal, Image and Video Processing, vol. 4 (2), pp. 233-245 (2010).

16. H. OTROK, M. MEHRANDISH, C. ASSI, M. DEBBABI AND P. BHATTACHARYA, “Game Theoretic Models for Detecting Network Intrusions,” Computer Communications, vol. 31, no. 10, pp. 1934-1944 (2008).

17. M. RAHMAN, P. BHATTACHARYA AND B.C. DESAI, “A Framework for Medical Image Retrieval using Machine Learning and Statistical Similarity Matching Techniques with Relevance Feedback,” IEEE Transactions on Information Technology in Biomedicine, vol. 11, no. 1, pp. 59-69 (2007).

Selected Refereed Conference Papers

1. M. XIAYONG, K. QIAN and P. BHATTACHARYA, “Detectors for Intent ICC Security Vulnerability with Android IDE,” 10th IEEE International Conference on Ubiquitous and Future Networks, Prague, Czech Republic, 2018.

2. M. XIAYONG, K. QIAN, H. SHAHRIAR, A. TALUKDER and P. BHATTACHARYA, “Secure Mobile IPC Software Development with Vulnerability Detectors in Android Studio," IEEE Computer Software and Applications Conference (COMPSAC 2018), Tokyo, Japan, 2018.

3. M. XIAYONG, K. QIAN, D. LO, P. BHATTACHARYA and F. WU, “Secure Mobile Software Development with Vulnerability Detectors in Static Code Analysis,” IEEE International Symposium on Networks, Computers and Communications, (ISNCC 2018), Rome, Italy, 2018.

4. P. CHANDRASEKHAR, K. QIAN, H. Shahriar, and P. BHATTACHARYA, “Improving the Prediction Accuracy of Decision Tree Mining with Data Preprocessing,” IEEE Computer Software and Applications Conference (COMPSAC 2017), vol. 2, p. 481-484, Turin, Italy, 2017.

5. P.B. GUO and P. BHATTACHARYA, “A Fully Automated Detection Method for the GBM Disease Pattern in Anatomic Sections of T1-weighted 3D Magnetic Resonance Imaging,” IEEE International Conference on Cognitive Informatics and Cognitive Computing, Oxford, UK, pp. 146-150, 2017.

6. W. YOU, Y. SHI, K. QIAN, P. BHATTACHARYA and Y. QIAN, “A Hybrid Analysis for Mobile Security Threat Detection,” 7th IEEE Information Technology, Electronics and Mobile Communication Conference, New York City. 2016.

7. P. B. GUO, P. BHATTACHARYA and A. C. EVANS, “Segmentation of Nuclei in Digital Pathology Images,” IEEE International Conference on Cognitive Informatics and Cognitive Computing, Stanford University, Palo Alto, CA, 2016, pp. 547-550.

8. M. RAHMAN and P. BHATTACHARYA, “Multimodal Biomedical Image Classification and Retrieval with Multi Response Linear Regression (MLR)-Based Meta Learning,” ACM Medical Information Retrieval Workshop, Pisa, Italy. July 2016.

9. M. GUO and P. BHATTACHARYA, “Mechanism Design for Replica Placement in Peer-Assisted Content Delivery Networks with heterogeneous Behavior modes,” IEEE Computers, Software and Applications Conference (COMPSAC), Atlanta, GA, pp. 500-501. 2016.

10. P. B. GUO, P. BHATTACHARYA and A. C. EVANS, “Application of the intelligent automation in the diagnosis of disease patterns,” MICCAI-MCBR on Medical Content-based Retrieval for Clinical Decision Support, Munich, Germany, Oct. 2015.

11. W. YOU, K. QIAN, M. GUO, P. BHATTACHARYA, Y. QIAN and L. TAO. “A hybrid approach for mobile security threat analysis,” 8th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WISEC 2015), New York City, 2015.

12. W. YOU, K. QIAN, DAN LO, P. BHATTACHARYA, Y. QIAN, “Open Flow Table Overflow Attacks and Countermeasures,” 1st IEEE Conference on Network Softwarization, 2015, London, UK.

13. W. YOU, K. QIAN, DAN LO, P. BHATTACHARYA, Y. QIAN. “Web Service-enabled Spam Filtering with Naïve Bayes Classification,” IEEE Big Data Service Conference, 2015, pp. 95-104. San Francisco.

14. H. CHUN, Y. ELMEHDWI, F.LI, P. BHATTACHARYA AND J. WEI, “Outsourcable Two-party Privacy-Preserving Biometric Authentication, 9th ACM Symposium on Information, Computer and Communication Security, Kyoto, Japan, 2014, pp. 401-412.

15. A.S.M. SOHAIL, P. BHATTACHARYA, S.P. MUDUR AND S. KRISHNAMURTHY, “Election of Optimal Texture Descriptors for Retrieving Ultrasound Medical Images,” IEEE International Symposium on Biomedical Imaging from Nano to Micro (ISBI’11), Chicago, 2011, pp. 10-16.

16. P. GUO and P. BHATTACHARYA, “Hierarchical Recognition System for Microscopic Images Using Histogram Measure and Feature Selection,” Microscopic Image Analysis with Applications in Biology (MIAAB), Heidelberg, Germany, September 2011.

17. A.S.M. SOHAIL, P. BHATTACHARYA, S.P. MUDUR AND S. KRISHNAMURTHY, “Classification of Ultrasound Medical Images Using Distance Based Feature Selection and Fuzzy-SVM,” IAPR Iberian Conference on Pattern Recognition and Image Analysis, Spain,. 2011, Springer Lecture Notes in Computer Science vol. 6669, pp. 1176-183.

18. X. CHEN, K. MENDHURWAR, S. P. MUDUR, T. RADHAKRISHNAN, P. BHATTACHARYA, “Learning Human Action Sequence Style from Video for Transfer to 3D Game Characters,” Third International Conference on Motion in Games, Utrecht. Springer Lecture Notes in Computer Science (LNCS), vol. 6459, pp. 422-433 (2010).