Sreyasee Das Bhattacharjee

  Dr. Sreyasee Das Bhattacharjee, PhD
  Assistant Professor of Teaching & Research
  Davis Hall #349
  Department of Computer Science & Engg.
  State University of New York at Buffalo
  NY 14260
  Ph # (716)-645-4769

Sreyasee Das Bhattacharjee is a faculty member in the Computer Science and Engineering department at SUNY Buffalo (UB). Before joining UB, she was an adjunct faculty and postdoctoral fellow at the Computer Science Dept of UNC Charlotte. Prior moving to the United States, she was a research fellow at Nanyang Technological University (NTU), Singapore. Sreyasee has worked as a Visiting Research Scholar at the University of Western Australia (UWA), Perth and scientist at the Aeronautical Development Lab (ADE) of Defence Research and Development Organization (DRDO), Govt of India, in Bangalore, India. She received the Ph.D. degree from Indian Institute of Technology, Madras, M.Tech. degree from Indian Institute of Technology, Delhi, and M. Sc Mathematics from Chennai Mathematical Institute, India.

Her current research interests cover multimodal data analytics, pattern discovery for time-series analysis, educational data mining, visual object search and retrieval, natural scene understanding, machine learning, natural language processing, visual analytics and collaborative systems. She has collaborated with a number of external collaborators from JPL, NASA, Department of Astronomy, California Institute of Technology, Department of General Medicine, University of California at San Francisco, OMRON Industrial Automation, etc.

• Co-Topic Editor in the journal on 'Preserving and Assessing Image and Video Integrity using AI'; Frontiers in Artificial Intelligence
• Associate Editor for Meachine Learning and Artificial Intelligence (specialty section of Frontiers in Big Data and Frontiers in Artificial Intelligence)
• Fellow, New Faculty Academy University at Buffalo, Spring 2021
• 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
• IBM Ph.D. fellowship award in 2008
• Australian Endeavour Research Fellowship, 2007 offered by Department of Education, Science and Training, Australian Govt.
• Rhaghaba Shastri Endowment Scholarship in 2002 from Chennai Mathematical Institute.
• National Scholarship 2000, offered by Ministry of Human Resource & Development, Govt of India.

Publications :

• 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, July, 2024
  
• Sidharth Anand, Naresh Kumar Devulapally, Sreyasee D. B., Junsong Yuan, AMuSE: Adaptive Multimodal Analysis for Speaker Emotion Recognition in Group Conversations, IEEE Conference in BigData and Multimedia 2023, Dec 2023
  
• Yu-Ping Chang, Aditya Dwibedi, Suryakanth Joshi, Sreyasee D. B., Development of An AI-Powered Emotionally Intelligent, Interactive Agent Prototype to Support Informal Caregivers, Late Breaker, GSA, Nov 2023
  
• Sidharth Anand, Naresh Kumar Devulapally, Sreyasee D. B., Junsong Yuan, Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation, ACM Multimedia 2023, Oct 2023
  
• Michael Mu, Sreyasee D. B., Junsong Yuan, Self-Supervised Distilled Learning for Multi-modal Mis-information Identification, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2023
  
• Sreyasee D. B., Jnana Sai Abhishek Varma Gokaraju, Junsong Yuan, Abhilash Kalwa, Multi-View Knowledge Graph for Explainable Course Content Recommendation in Course Discussion Posts, International Conference in Pattern Recognition (ICPR), August 2022.
  
• Balaji Arumugam, Sreyasee D.B , Junsong Yuan, Multimodal Attentive Learning for Real-Time Explainable Emotion Recognition in Conversations, IEEE International Symposium on Circuits & Systems, May 2022
  
• Sreyasee D.B , Junsong Yuan, Proactive Student Persistence Prediction in MOOCs via Multi-Domain Adversarial Learning, Asian Conference on Pattern Recognition, 2021
  
• Sreyasee D.B , Junsong Yuan, Multi-modal Co-training for Fake News Identification using Attention aware Fusion, Asian Conference on Pattern Recognition, 2021
  
• Sreyasee D.B , Junsong Yuan, Semantic Enhanced Sketch Based Image Retrieval with Incomplete Multimodal Query, (Invited Paper) IEEE Sixth International Conference on Multimedia Big Data (BigMM), 2020.
  
• Sreyasee D.B , William J. Tolone, Ashish Mahabal, Mohammed Elshambakey, Isaac Cho, Abdullah al-Raihan Nayeem, Junsong Yuan, George Djorgovski, Multi-View, Generative, Transfer Learning for Distributed Time Series Classification, (Best Paper) Big Data Transfer Learning (BDTL) Workshop, IEEE International Conference in BigData, 2019.
  
• Sreyasee D.B. , William J. Tolone, Multimodal, Context-Aware, Feature Representation Learning for Classification and Localization , IEEE International Conference in BigData, 2019.
• 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., William J. Tolone, Mohammed Elshambakey, Isaac Cho, Ashish Mahabal, George Djorgovski, View-Adaptive Weighted Deep Transfer Learning for Distributed Time-Series Classification , COMPSAC 2019: Data Driven Intelligence for a Smarter World, 2019
• Sreyasee D.B, William J. Tolone, Identifying Malicious Social Media Contents using Multi-View Context-Aware Active Learning , Elsevier Journal of Future Generation of Computer Science (FGCS)-Special Issue on Cyber Threat Intelligence and Analytics, 2019
• Omer T Karaguzel, Mohammed Elshambakey, Yimin Zhu, Tianzhen Hong, William J Tolone, Sreyasee D.B, Isaac Cho, Wenwen Dou, Haopeng Wang, Siliang Lu, Mohamed Khalefa, Yong Tao, Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations , Journal of Computing in Civil Engineering, 2019 .
• Sreyasee D.B., William J. Tolone, Mohammed Elshambakey, Isaac Cho, Ashish Mahabal, George Djorgovski, Context-Aware Deep Sequence Learning with Multi-View Factor Pooling for Time Series Classification , IEEE Int. Conference in Big Data, 2018 .
• Sreyasee D.B , Junsong Yuan, Yicheng Huang, Jingjing Meng, Lingyu Duan, Query Adaptive Multi-View Object Instance Search and Localization using Sketches , IEEE Tran. MultiMedia, 2018 .
• 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.
• Sreyasee D.B, Ashit Talukder, Bala Venkatram Balantrapu, Active Learning Based News Veracity Detection with Feature Weighting and Deep-Shallow Fusion , IEEE Int. Conference on Big Data, 2017 .
• Sreyasee D.B, Ashit Talukder, Ehab-E-Alshaer, Pratik , Prioritized Active Learning for Malicious URL Detection using Weighted Feature Updates , IEEE Int. Conference in Intelligence and Security Informatics (ISI), 2017 .
• Sreyasee D.B, Ashit Talukder, Graph clustering for Weapon Discharge Event detection and Tracking in Infrared Imagery using Deep Features , (Invited Paper) SPIE Conference in Pattern Recognition and Tracking, 2017 .
• Sreyasee D.B, Junsong Yuan, Zhang Jiaqi, Yap-Peng Tan, Context-Aware Graph-Based Analysis for Detecting Anomalous Activities , IEEE Int. Conference on Multimedia and Expo (ICME), 2017.
• Weixiang Hong, Junsong Yuan and Sreyasee D.B., Fried Binary Embedding for High-Dimensional Visual Features , IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 .
• Tan Yu, Yuwei Wu, Sreyasee D.B. and Junsong Yuan, Efficient Object Instance Search Using Fuzzy Object Matching, AAAI Conference in Artificial Intelligence, 2017.
• Sreyasee D.B, Junsong Yuan, Weixiang Hong, Xiang Ruan, Query adaptive instance search using sketches, ACM Int. conference on MultiMedia, 2016.
• Sreyasee D.B., Junsong Yuan, Lingyu Duan, Yap-Peng Tan , Query Adaptive Small Object Search using Shape aware descripotors , IEEE Tran. MultiMedia, 2016 .
• Sreyasee D.B., Junsong Yuan, Lingyu Duan, Yap-Peng Tan, Query Adaptive Logo Search using Shape aware descripotors , ACM Int. conference on MultiMedia, 2015.
• Sreyasee D.B., Anurag Mittal, Part-based Deformable Object Detection with a Single Sketch , Computer Vision and Image Understanding (CVIU), Elsevier, 2015.
• Smit Marvania, Sreyasee D.B., Venkatesh M., Anurag Mittal Drawing an Automatic Sketch of Deformable Objects using only a few images , NORDIA , European Conference in Computer Vision, 2012