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Dr.Saswata Roy

Dr.Saswata Roy

Designation: Assistant Professor

Department: Information Technology

Honour: Ph.D. IIT Patna

Experience: 1.5 year Experience at ABV-IIITM Gwalior

Area of Interest: Machine Learning, Deep Learning, Explainable AI

Address: A-207, Department of IT, ABV-IIITM, Gwalior, Morena Link Road, Gwalior-474015 (M.P.), India.

Email: saswata@iiitm.ac.in, saswataroy.1987@gmail.com

Biography

Dr. Saswata Roy is an Assistant Professor in the Department of Information Technology at the Atal Bihari Vajpayee Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior. He received his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology, (IIT) Patna, in 2024. He received the M.Tech degree in Computer Science & Engineering from Indian Institute of Technology (IIT) Dhanbad, in 2014.  Before joining ABV-IIITM, he served as an Assistant Professor in the Department of Computer Science and Engineering at Kalinga Institute of Industrial Technology (KIIT) Bhubaneswar, India.

Dr. Roy’s research focuses on Rumor Verification, Multimodal Explainable Misinformation Detection, Intelligent transportation Systems, and Crisis Informatics. His work is published in prestigious conferences such as PAKDD (Core A, Acceptance rate: 19%), IEEE ANTS and journals like Expert Systems with Applications, Information Processing & Management, Engineering Applications in Artificial Intelligence, and International Journal of Data Science and Analytics. He resolved several research challenges with the help of deep neural networks. He primarily works on building Neural Network Models using Keras, Tensorflow, PyTorch. You can see some of his implementation on his GitHub page: https://github.com/saswataroy1987 . In his previous role at IIT Patna, Dr. Roy created a real-time cyber-monitoring tool called Digimonitor.

 

 

Research Grant

Agency/organization Title Amount (INR) Duration
Anusandhan National Research Foundation (ANRF) under IRG Scheme "ExAID: An Explainable AI-Driven Multilingual Deepfake Detection tool with Browser Integration" 37 Lac 3 years
Faculty Initiation Grant (FIG), ABV IIITM, Gwalior A Social Media Monitoring App for Multimodal Explainable Misinformation Detection System using AI Tools 9.8 Lac 2 years

 

Publications:

Journals:

  • Saswata Roy, Manish Bhanu, Shalini Priya, Joydeep Chandra, and Sourav Dandapat. “Beyond just saying it’s false: explainable AI for multimodal misinformation detection”, Applied Intelligence, Accepted July 2025, Volume 55, Issue 11.
  • Saswata Roy, Manish Bhanu, Sourav Dandapat, and Joydeep Chandra. "Towards an orthogonality constraint-based feature partitioning approach to classify veracity and identify stance overlapping of rumors on twitter." Expert Systems with Applications, Volume 208, Issue 1, Pages 118175, Accepted 14 July 2022.
  • Saswata Roy, Manish Bhanu, Shruti Saxena, Sourav Dandapat, and Joydeep Chandra. "gDART: Improving rumor verification in social media with Discrete Attention Representations." Information Processing & Management, 2022, Volume 59, Issue 3, Pages 102927, Accepted 6 March 2022.
  • Manish Bhanu, Saswata Roy, Shalini Priya, João Mendes Moreira, Joydeep Chandra. "An encoder framework for taxi-demand prediction using spatio-temporal function approximation.” Engineering Applications of Artificial Intelligence, 2023, Volume 126, Issue Part A, Pages 106760, Accepted 3 July 2023.
  • Shalini Priya, Manish Bhanu, Saswata Roy, Sourav Dandapat, and Joydeep Chandra. " Multi-source domain adaptation approach to classify infrastructure damage tweets during crisis." International Journal of Data Science and Analytics, Volume 19, Issue 1, Accepted 13 December 2024.
Conferences:
  • Rahul Kumar, Manish Bhanu, Saswata Roy, João Mendes-Moreira, and Joydeep Chandra. “BTS-Z: A Bootstrap Zero-Shot Learning Approach for City Traffic Forecasting”. In proceedings of the 18th IEEE ANTS, 15-18 December, 2024, IIT Guwahati, India.
  • Roy, Saswata, Brijendra Kumar Suman, Joydeep Chandra, and Sourav Kumar Dandapat. "Forecasting the future: leveraging RNN based feature concatenation for tweet outbreak prediction." In Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, pp. 219-223. Indian School of Business, Hyderabad Campus, 2020.
  • Bhanu, Manish, Rahul Kumar, Saswata Roy, João Mendes-Moreira, and Joydeep Chandra. "Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction." In Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part I, pp. 459-471. Cham: Springer International Publishing, 2022.

हमसे जुडे

एबीवी-भारतीय सूचना प्रौद्योगिकी और प्रबंधन संस्थान ग्वालियर, मोरेना लिंक रोड, ग्वालियर, मध्य प्रदेश, भारत, 474015

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