Dr. Sreyasee Das Bhattacharjee, PhD
Assistant Professor of Research & Teaching
Davis Hall #349
Department of Computer Science & Engg.
State University of New York at Buffalo
NY 14260
Ph: (716)-645-4769
Associate Editor, The Journal of Medical Internet Research (JMIR) mHealth and uHealth, 2024
Co-Topic Editor in the journal on 'Preserving and Assessing Image and Video Integrity using AI'; Frontiers in Artificial Intelligence, 2023
Associate Editor for Meachine Learning and Artificial Intelligence (specialty section of Frontiers in Big Data and Frontiers in Artificial Intelligence), 2022
Best Paper Award, 4TH Big Data Transfer Learning (BDTL) Workshop, IEEE Int. Conference in Big Data 2019
Best Paper Award, International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention, IEEE Int. Conference in Big Data 2017
Sreyasee D. B. (PI), Wenyao Xu, July'25-June'26, $50,000, AIEmoCare: Enhanced Well-being for Older Adults, Actionable Insights for Clinicians, Center of Excellence Bioinformatics Life Sciences(CBLS), Division of Science Technology & Innovation, NY State, USA
Sreyasee D. B. (PI), Shambhu Upadhyaya, Wenyao Xu, Wooksoo Kim, Aug'24-July'27, $1,000,000, Explorations: ReUPS: Refugees Underprivileged Students Experiential Learning in Emerging STEM Technologies, ExLENT, National Science Foundation (NSF), USA
Jinjun Zhou, Sreyasee D. B.(Co-I), Jan'23-Jan'25, $300,000, Enhancing multi-channel linear LED lighting fixtures with advanced AI vision system for early health condition evaluation of plants grown in controlled environments, FuzeHub 2023 Grant Awards for Manufacturing Innovations, New York State, USA
New York Health Foundation Conference Scholarship 2025
IBM Ph.D. Fellowship Award 2008
Australian Endeavour Research Fellowship, 2007 offered by Department of Education, Science and Training, Australian Govt.
Rhaghaba Shastri Endowment Scholarship 2002 from Chennai Mathematical Institute.
National Scholarship 2000, offered by Ministry of Human Resource & Development, Govt of India.
Sidharth Anand, Chaitanya Sai Chandu Yendru, Sreyasee D. B., Junsong Yuan Multimodal Conversatioal Emotion Analysis with Robustness to Incomplete Modality Details , IEEE Conference on Multimedia and Expo, July 2025
Jatin Chabbaria, Vamsi Kumar Naidu Pallapothula, Sreyasee D. B., ActDiffNet: Multisensor Affective State Recognition by Actively Synthesizing Minority Patterns via Conditional Diffusion , IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE), June 2025
Sidharth Anand, Vamsi Kumar Naidu Pallapothula, Sreyasee D. B., Junsong Yuan Generalized Multisensor Wearable Signal Fusion for Emotion Recognition from Noisy and Incomplete Data , Elsevier Smart Health, Volume 36, June 2025
Aditya Dwibedi, Sreyasee D. B.,Yu-Ping Chang, Junsong Yuan, PI-EnLLM : Personalized Interactive Healthcare Assistance via Ensembling Large Language Models , EAI International Conference on Body Area Networks, Dec 2024
Yu-Ping Chang, Aditya Dwibedi, Sreyasee D. B., Usability of An Affect-Aware Multimodal Personalized Interactive Model Among Family Caregivers , Gerontology Society Association Annual Meeting, Nov 2024
Sidharth Anand, Naresh Kumar Devulapally, Sreyasee D. B., Junsong Yuan, Yu-Ping Chang, AM2-EmoJE: Adaptive Missing-Modality EMOtion recognition in conversations via Joint-Embedding , IEEE Conference on Multimedia Expo, July 2024
Zhenhua Huang, Xun Wang, Liping Cai, Yong Tao, William J. Tolone, Mohammed El-Shambakey; Sreyasee D.B, Isaac Cho, ‘Blast Risk Assessment of Wood Residential Buildings: West Fertilizer Plant Explosion Case’, (Accepted) Journal of Performance of Constructed Facilities, 2019.
Sreyasee D.B, Bala Venkatram Balantrapu, William J. Tolone, Ashit Talukder, Identifying Extremism in Social Media with Multi-view Context-Aware Subset Optimization, (As a best paper, pre-selected for Elsevier FGCS-Special Issue on Cyber Threat Intelligence and Analytics) International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention, IEEE Int. Conference in Big Data, 2017 .
Mohammed Elshambakey, Mohamed Khalefa, William J Tolone, Sreyasee D.B, Huikyo Lee, Luca Cinquini, Shannon Schlueter, Isaac Cho, Wenwen Dou, Daniel J Crichton, Towards a distributed infrastructure for data-driven discoveries & analysis , IEEE Int. Conference on Big Data 2017.
CSE 4/510: Special Topics, Introduction to Generative AI, Fall 2025 Tentative Course Plan
CSE 368: Introduction to Artificial Intelligence, Fall 2019, Fall 2020, Fall 2021
CSE 410: Special Topics, Introduction to Deep Learning, Fall 2019
CSE 4/562: Database Systems, Spring 2020
CSE 4/560: Data Models and Query Language, Spring 2021, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Spring 2025
CSE 573: Introduction to Computer Vision, Spring 2023
CSE 4/574: Introduction to Machine Learning, Spring 2020, Spring 2021, Spring 2022, Spring 2025
CSE 4/555: Introduction to Pattern Recognition, Fall 2020, Fall 2021, Fall 2022
EAS 595: Special Topics - Fundamentals of AI, Fall 2020, Spring 2021
Present/Past Leadership Responsibilities :
Associate Editor, The Journal of Medical Internet Research (JMIR) mHealth and uHealth
Associate Editor for Machine Learning and Artificial Intelligence (specialty section of Frontiers in Big Data and Frontiers in Artificial Intelligence)
Member of the Faculty Senate and the Senate Executive Committee at the Unitversity at Buffalo
MS-AI Program Director, Institute of AI and Data Science UB
Co-Topic Editor in the journal on 'Preserving and Assessing Image and Video Integrity using AI'; Frontiers in Artificial Intelligence
Present/Past Services :
Reviewer Panel Member in multiple programs at National Science Foundation (NSF)
Meta Reviewer (Area Chair), IEEE International Conference on Multimedia and Expo, 2024, 2025
Area Chair, ACM International Conference on Multimedia, 2024, 2025
Technical Program Committee, Thirty Fifth AAAI Conference on Arificial Intelligence, 2021, 2022
Reviewer Committee, ICAIS 2021, Track: 27-Evolutionary Computation for Machine Learning and Data Mining
Reviewer Board Member, Sensors (2020-)
Reviewer, IEEE Trans. on Circuits and Systems for Video Technology
Reviewer, IEEE Trans. on Image Processing (T-IP)
Reviewer, ACM Trans. on Multimedia Computing Communications and Applications (TOMM)
Reviewer, IEEE Trans. on Multimedia (TMM)
Reviewer, Computer Vision and Image Understanding (CVIU )
Reviewer, EURASIP Journal on Applied Signal Processing (JASP)
Tech. Program Committee Member, 2nd International Workshop on Big Data Analytic for Cybercrime Investigation and Prevention, co-located with IEEE Big Data conference that will take place in Seattle, USA on 10-13 December, 2018.
Tech. Program Committee Member, Multi-Sensor for Action and Gesture Recognition (MAGR), ACPR 2019 Workshop, Auckland, New Zealand
Tech. Program Committee Member, The 1st International Workshop on Human-oriented Intelligent Defence Against Malware Threats (HIDAMT), 28th International Joint Conference on Artificial Intelligence (IJCAI) 2019
Jatin Chhabria (Aug 2024-Present), MS UB
Vamsi Kumar Naidu Pallapothula (Jan 2024-May 2025), MS UB
Sidharth Anand (Jun 2022-Present), MS UCSD
Chaitanya Sai Chandu Yendru (Jan 2024-Dec 2024), MS UB
Aditya Kumar Dwibedi (Jun 2023-Dec 2024), MS UB
Naresh Kumar Devulapally (Jun 2022-Dec 2023), MS UB
Jnana Sai Abhishek Varma Gokaraju (Jun 2021-May2022), MS UB, last known position: Amazon USA
Abhilash Kalwa (Jun 2021-May2022), MS UB, last known position: Amazon USA
Balaji Arumugam (Jan 2020-May2021), MS UB, last known position: Amazon USA
Michael Mu (Sept 2021-Nov2022), UG UB, last known position: MS CMU
Nidhish Sawant (Jan 2021-May2022), UG Intern, last known position: MS UCI