[11] K. Priya, C. Adak, S. Anand, S. Chattopadhyay, “Offline Signature Verification: Exploring Intra-Variability Across Time Intervals”, IEEE Transactions on Biometrics, Behavior, and Identity Science, DOI: 10.1109/TBIOM.2025. 3592880, 2025. (link)
[10] J. Shokhanda, U. Pal, A. Kumar, S. Chattopadhyay, A. Bhattacharya, “SafeTail: Efficient Tail Latency Optimization in Edge Service Scheduling via Computational Redundancy Management”, IEEE Trans. on Network and Service Management, DOI: 10.1109/TNSM.2025.3587752, 2025. (link)
[9] S. Kumar, S. Chattopadhyay, “ARRQP: Anomaly Resilient Real-time QoS Prediction Framework with Graph Convolution”, IEEE Trans. on Services Computing, DOI: 10.1109/TSC.2025.3565376, 2025. (link)
[8] C. Adak, S. Chattopadhyay, M. Saqib, “Deep Analysis of Visual Product Reviews”, IEEE Trans. on Emerging Topics in Computational Intelligence, vol. 9, no. 2, pp. 2033-2038, 2025. (link)
[7] U. Nareti, C. Adak, S. Chattopadhyay, “Demystifying Visual Features of Movie Posters for Genre Identification”, IEEE Trans. on Computational Social Systems, DOI: 10.1109/TCSS.2024.3481157, 2024. (link)
[6] S. Kumar, S. Chattopadhyay, C. Adak, “TPMCF: Temporal QoS Prediction using Multi-Source Collaborative Features”, IEEE Trans. on Network and Service Management, vol. 21, no. 4, pp. 3945-3955, 2024. (link)
[5] T. Karkera, C. Adak, S. Chattopadhyay, M. Saqib, “Detecting Severity of Diabetic Retinopathy from Fundus Images: A Transformer Network-based Review”, Neurocomputing, Elsevier, DOI: 10.1016/j.neucom.2024.127991, 2024. (link)
[4] R. R. Chowdhury, S. Chattopadhyay, C. Adak, “CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering”, IEEE Trans. on Services Computing, vol. 15, no. 4, pp. 2232-2247, 2022. (link)
[3] S. Chattopadhyay, A. Banerjee, “QoS-Aware Automatic Web Service Composition with Multiple Objectives”, ACM Trans. on the Web, vol. 14, no. 3, pp. 12:1–12:38, 2020. (link)
[2] S. Chattopadhyay, A. Banerjee, “QoS Constrained Service Large Scale Web Service Composition using Abstraction Refinement”, IEEE Trans. on Services Computing, vol. 13, no. 3, pp. 529-544, 2020. (link)
[1] S. Chattopadhyay, A. Banerjee, N. Banerjee, “A Fast and Scalable Mechanism for Web Service Composition”, ACM Trans. on the Web, vol. 11, no. 4, pp. 26:1–26:36, 2017. (link)
[27] A. Dey, C. Adak, K. Priya, S. Chattopadhyay, S. Chanda, “Exploring the Boundaries of Diffusion Models for Offline Writer Identification with Sparse and Intra-Variable Data”, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Arizona, USA, 6-10 Mar., 2026. (link) (accepted)
[26] B. Das, C. Adak, A. Deo, A. Bangar, R. Verma, Z. Akhtar, S. Chattopadhyay, S. Dutta, A. Parihar, A. Suralkar, D. Nagar, V. Kumar, “Securing AI-Generated Media: Rethinking Deepfake Vulnerabilities in Side-Face Perspectives”, IEEE BuildSEC (Building a Secure & Empowered Cyberspace), Patna, India, 1-3 Dec., 2025. (link)
[25] K. Priya, S. Kumar, A. Dey, C. Adak, S. Chattopadhyay, S. Chanda, S. Marinai, “Graph Convolutional Teacher-Student Framework for Writer Inspection from Intra-Variable Handwritten Words”, 19th Int. Conf. on Document Analysis and Recognition (ICDAR), LNCS vol. 16025, Springer, pp. 115-129, Wuhan, China, 16-21 Sep., 2025. (link)
[24] A. Deo, A. Bangar, C. Adak, R. Verma, D. Nagar, Z. Akhtar, S. Dutta, S. Chattopadhyay, S. Chanda, “IndicSideFace: A Dataset for Advancing Deepfake Detection on Side-Face Perspectives of Indian Subjects”, 19th IEEE Int. Conf. on Automatic Face and Gesture Recognition (FG), pp. 1-10, Florida, USA, 27-29 May, 2025. (link)
[23] A. Yeola, C. Adak, S. Chattopadhyay, S. Chanda, “Enhancing Traffic Sign Recognition: A Deep Learning Approach for Occluded Environments”, 3rd Int. Conf. on Computer Vision and Machine Intelligence (CVMI), pp.1-6, Prayagraj, India, 19-20 Oct., 2024. (link)
[22] J. Shokhanda, A. Kumar, U. Pal, A. Bhattacharya, S. Chattopadhyay, “Scheduling of Safety-Critical Tasks on Edge Devices via Reinforcement Learning”, 16th International Conference on COMmunication Systems & NETworkS (COMSNETS), pp. 306-308, Bengaluru, India, 2024. (link)
[21] S. Chattopadhyay, R. Chanda, S. Kumar, C. Adak, “OffDQ: An Offline Deep Learning Framework for QoS Prediction”, 31st The ACM Web Conference (WWW), pp. 1987-1996, Lyon, France, 2022. (link)
[20] S. Kumar, S. Chattopadhyay, “TRQP: Trust-Aware Real-Time QoS Prediction Framework Using Graph-Based Learning”, 20th International Conference on Service Oriented Computing (ICSOC), pp. 143-152, Spain, 2022. (link)
[19] A. Dixit, S. Chattopadhyay, “Demystifying Heart Failure with Mid-range Ejection Fraction Using Machine Learning”, 48th Computing in Cardiology (CinC), pp. 1-4, Brno, Czech Republic, 2021. (link)
[18] R. Mudam, S. Bhartia, S. Chattopadhyay, A. Bhattacharya, “Mobility-Aware Service Placement for Vehicular Users in Edge-Cloud Environment”, 18th International Conference on Service Oriented Computing (ICSOC), pp. 248-265, Dubai, 2020. (link)
[17] S. Chattopadhyay, R. Ghosh, A. Banerjee, A. Gupta, A. Jain, “FINESSE : Fair Incentives for Enterprise Employees”, 14th International Conference on Research Challenges in Information Science (RCIS), pp. 191--211, Cyprus, 2020. (link)
[16] S. Chattopadhyay, A. Banerjee, “QoS Value Prediction Using a Combination of Filtering Method and Neural Network Regression”, 17th International Conference on Service Oriented Computing (ICSOC), pp. 135 - 150, France, 2019. (link)
[15] S. Chattopadhyay, A. Banerjee, “Towards Scalable Semantic Service Composition”, 12th IEEE Conference on Service-Oriented Computing and Applications (SOCA), pp. 41 - 48, Taiwan, 2019. (link)
[14] S. Chattopadhyay, A. Banerjee, “A Variation Aware Composition Model for Dynamic Web Service Environments”, 16th International Conference on Service Oriented Computing (ICSOC), pp. 694 - 713, China, 2018. (link)
[13] S. Chattopadhyay, A. Banerjee, B. Yu, “A Utility-Driven Data Transmission Optimization Strategy in Large Scale Cyber-Physical Systems”, Design, Automation and Test in Europe (DATE), pp. 1619–1622, Switzerland, 2017. (link)
[12] S. Chattopadhyay, A. Banerjee, “QSCAS: QoS Aware Web Service Composition Algorithms with Stochastic Parameters”, IEEE International Conference on Web Services (ICWS), pp. 388–395, San Francisco, 2016. (link)
[11] S. Chattopadhyay, A. Banerjee, N. Banerjee, “A Scalable Rule Engine Architecture for Service Execution Frameworks”, IEEE International Conference on Services Computing (SCC), San Francisco, pp. 689-696, 2016. (link)
[10] S. Chattopadhyay, A. Banerjee, T. Mukherjee, “A Framework for Top Service Subscription Recommendations for Service Assemblers”, IEEE International Conference on Services Computing (SCC), pp. 332–339, San Francisco, 2016. (link)
[9] R. Ghosh, A. Gupta, S. Chattopadhyay, A. Banerjee, K. Dasgupta, “CoCOA: A Framework for Comparing Aggregate Client Operations in BPO Services”, IEEE International Conference on Services Computing (SCC), pp. 539–546, San Francisco, 2016. (link)
[8] D. Bhattacharjee, S. Chattopadhyay, A. Banerjee, “EAST: Efficient Assertion Simulation Techniques”, Design, Automation & Test in Europe (DATE), pp. 1363–1368, Germany, 2016. (link)
[7] S. Dutta, S. Chattopadhyay, A. Banerjee, P. Dasgupta, “A New Approach for Minimal Environment Construction for Modular Property Verification”, 24th Asian Test Symposium (ATS), pp. 205-210, India, 2015. (link)
[6] S. Chattopadhyay, S. Dutta, A. Banerjee, “A Framework for Fast Service Verification and Query Execution using Boolean Service Rules”, 9th Asia Pacific Service Computing Conference (APSCC), pp. 17-32, Thailand, 2015. (link)
[5] S. Chattopadhyay, A. Banerjee, N. Banerjee, “A Scalable and Approximate Mechanism for Web Service Composition”, International Conference on Web Services (ICWS), pp. 9-16, New York, 2015. (link)
[4] S. Chattopadhyay, H.S. Paul, A. Banerjee, “On Composition of Checkpoint and Recovery Protocols for Distributed Systems”, Service Oriented Computing (ICSOC) Workshops, pp. 231–242, India, 2015. (link)
[3] S. Chattopadhyay, A. Banerjee, “Algorithmic Strategies for Sensing-as-a-Service in the Internet-of-Things Era”, Utility and Cloud Computing (UCC), pp. 387-390, Cyprus, 2015. (link)
[2] S. Chattopadhyay, A. Banerjee, N. Banerjee, “A Scalable Architecture for Rule Engine Based Clinical Decision Support Systems”, 15th World Congress on Health and Biomedical Informatics (MedInfo), pp. 947, São Paulo, Brazil, 2015. (link)
[1] S. Chattopadhyay, A. Banerjee, N. Banerjee, “A Data Distribution Model for Large-scale Context Aware Systems”, 10th International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (MobiQuitous), pp. 615-627, Japan, 2013. (link)
[2] C. Adak, D. Ghosh, R. R. Chowdhury, S. Chattopadhyay, “COVID-19-affected Medical Image Analysis using Denser Net”, Chapter 11, Eds. U. Kose et al., Data Science for COVID-19, Elsevier, ISBN: 9780128245361, pp. 213-230, 2021. (link).
[1] S. Chattopadhyay, A. Banerjee, N. Banerjee, and B. Yu “A Utility-Driven Data Transmission Optimization Strategy in Large-Scale Cyber-Physical Systems”, Chapter 2, Eds. S. Hu, B. Yu, Big Data Analytics for Cyber-Physical Systems, Springer, ISBN: 9783030434939, pp. 13-42, 2020. (link)
[3] R. Ghosh, A. Gupta, S. Chattopadhyay, A. Banerjee, K. Dasgupta, A. Garg, “Methods and Systems for Analyzing Aggregate Operational Efficiency of Business Services”, US patent filed jointly with Xerox Research Centre, India, Patent No.: US11461725B2, Date: Oct. 4, 2022. (link)
[2] R. Ghosh, S. Chattopadhyay, A. Banerjee, K. Dasgupta, A. Garg, V. Setia, “Fairness Evaluation Framework for Incentive Schemes in A Service-based Environment”, US patent filed jointly with Xerox Research Centre, India, Pub. No.: US-2018/0046967-A1, Pub. Date: Feb. 15, 2018. (link)
[1] R. Ghosh, S. Chattopadhyay, A. Banerjee, K. Dasgupta, P. Varma, “Unified Incentive Framework for Task-oriented Services”, US patent filed jointly with Xerox Research Centre, India, Pub. No.: US-2018/0025374-A1, Pub. Date: Jan. 25, 2018. (link)
U. K. Nareti, S. Kumar, S. Pandey, S. Chattopadhyay, C. Adak, “ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification”, 2025. Preprint: arXiv:2510.12534. (link)
U. K. Nareti, D. Gupta, C. Adak, S. Chattopadhyay, E. Riese, T. Chakraborty, M. Agarwal, S. Kumar, “Assessing Engineering Student Perceptions of Introductory CS Courses in an Indian Context”, 2025. Preprint: arXiv:2508.06563. (link)
U. K. Nareti, S. Chattopadhyay, P. Mallick, S. Kumar, C. Adak, A. V. Daga, A. Wase, A. Roy, “Adaptive Data-Resilient Multi-Modal Hierarchical Multi-Label Book Genre Identification”, 2025. Preprint: arXiv:2505.03839. (link)
U. Nareti, C. Adak, S. Chattopadhyay, P. Wang, “Unraveling Movie Genres through Cross-Attention Fusion of Bi-Modal Synergy of Poster”, 2024. Preprint: arXiv:2410.19764. (link)
S. Kumar, S. Chattopadhyay, C. Adak, “Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network”, 2024. Preprint: arXiv:2410.17762. (link)
S. Chattopadhyay, C. Adak, R. R. Chowdhury, “FES: A Fast Efficient Scalable QoS Prediction Framework”, 2021. Preprint: arXiv:2103.07494. (link)