Effectiveness of Deep Networks in NLP using BiDAF as an example architecture. - Soumyendu Sarkar (CoRR, 2021)

Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter. - Soumyendu Sarkar; Vineet Gundecha; Alexander Shmakov; Sahand Ghorbanpour; Ashwin Ramesh Babu; Paolo Faraboschi; Mathieu Cocho; Alexandre Pichard; Jonathan Fievez (AAAI, 2022)

Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters. - Soumyendu Sarkar; Vineet Gundecha; Sahand Ghorbanpour; Alexander Shmakov; Ashwin Ramesh Babu; Alexandre Pichard; Mathieu Cocho (CASE, 2022)

Robustness with Black-Box Adversarial Attack using Reinforcement Learning. - Soumyendu Sarkar; Ashwin Ramesh Babu; Sajad Mousavi; Vineet Gundecha; Sahand Ghorbanpour; Alexander Shmakov; Ricardo Luna Gutierrez 001; Antonio Guillen; Avisek Naug (SafeAI@AAAI, 2023)

Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement. - Soumyendu Sarkar; Ashwin Ramesh Babu; Sajad Mousavi; Sahand Ghorbanpour; Vineet Gundecha; Ricardo Luna Gutierrez 001; Antonio Guillen; Avisek Naug (CASE, 2023)

Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin. - Soumyendu Sarkar; Avisek Naug; Antonio Guillen; Ricardo Luna Gutierrez 001; Sahand Ghorbanpour; Sajad Mousavi; Ashwin Ramesh Babu; Vineet Gundecha (CASE, 2023)

RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. - Alexander Shmakov; Avisek Naug; Vineet Gundecha; Sahand Ghorbanpour; Ricardo Luna Gutierrez 001; Ashwin Ramesh Babu; Antonio Guillen; Soumyendu Sarkar (CASE, 2023)

Robustness with Query-efficient Adversarial Attack using Reinforcement Learning. - Soumyendu Sarkar; Ashwin Ramesh Babu; Sajad Mousavi; Sahand Ghorbanpour; Vineet Gundecha; Antonio Guillen; Ricardo Luna 001; Avisek Naug (CVPR Workshops, 2023)

RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning. - Soumyendu Sarkar; Ashwin Ramesh Babu; Sajad Mousavi; Sahand Ghorbanpour; Vineet Gundecha; Antonio Guillen; Ricardo Luna 001; Avisek Naug (CVPR Workshops, 2023)

Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. - Soumyendu Sarkar; Vineet Gundecha; Sahand Ghorbanpour; Alexander Shmakov; Ashwin Ramesh Babu; Avisek Naug; Alexandre Pichard; Mathieu Cocho (IJCAI, 2023)

PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability. - Avisek Naug; Antonio Guillen; Ricardo Luna Gutiérrez 001; Vineet Gundecha; Sahand Ghorbanpour; Lekhapriya Dheeraj Kashyap; Dejan Markovikj; Lorenz Krause; Sajad Mousavi; Ashwin Ramesh Babu; Soumyendu Sarkar (BuildSys, 2023)

N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics. - Sajad Mousavi; Ricardo Luna Gutiérrez 001; Desik Rengarajan; Vineet Gundecha; Ashwin Ramesh Babu; Avisek Naug; Antonio Guillen; Soumyendu Sarkar (CoRR, 2023)

Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. - Soumyendu Sarkar; Ashwin Ramesh Babu; Sajad Mousavi; Vineet Gundecha; Avisek Naug; Sahand Ghorbanpour (AAAI, 2024)

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. - Soumyendu Sarkar; Avisek Naug; Ricardo Luna 001; Antonio Guillen; Vineet Gundecha; Sahand Ghorbanpour; Sajad Mousavi; Dejan Markovikj; Ashwin Ramesh Babu (AAAI, 2024)

Sustainability of Data Center Digital Twins with Reinforcement Learning. - Soumyendu Sarkar; Avisek Naug; Antonio Guillen; Ricardo Luna 001; Vineet Gundecha; Ashwin Ramesh Babu; Sajad Mousavi (AAAI, 2024)

SustainDC: Benchmarking for Sustainable Data Center Control. - Avisek Naug; Antonio Guillen; Ricardo Luna Gutierrez 001; Vineet Gundecha; Cullen E. Bash; Sahand Ghorbanpour; Sajad Mousavi; Ashwin Ramesh Babu; Dejan Markovikj; Lekhapriya Dheeraj Kashyap; Desik Rengarajan; Soumyendu Sarkar (NeurIPS, 2024)

Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. - Soumyendu Sarkar; Ashwin Ramesh Babu; Sajad Mousavi; Zachariah Carmichael; Vineet Gundecha; Sahand Ghorbanpour; Ricardo Luna Gutierrez 001; Antonio Guillen; Avisek Naug (WACV, 2024)

A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration. - Avisek Naug; Antonio Guillen; Ricardo Luna Gutierrez 001; Vineet Gundecha; Sahand Ghorbanpour; Sajad Mousavi; Ashwin Ramesh Babu; Soumyendu Sarkar (CoRR, 2024)

SustainDC - Benchmarking for Sustainable Data Center Control. - Avisek Naug; Antonio Guillen; Ricardo Luna 001; Vineet Gundecha; Desik Rengarajan; Sahand Ghorbanpour; Sajad Mousavi; Ashwin Ramesh Babu; Dejan Markovikj; Lekhapriya Dheeraj Kashyap; Soumyendu Sarkar (CoRR, 2024)

Digital Twins for Data Centers. - Jyotika Athavale; Cullen E. Bash; Wesley Brewer; Matthias Maiterth; Dejan S. Milojicic; Harry Petty; Soumyendu Sarkar (Computer, 2024)

Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. - Soumyendu Sarkar; Ashwin Ramesh Babu; Sajad Mousavi; Vineet Gundecha; Sahand Ghorbanpour; Avisek Naug; Ricardo Luna Gutiérrez 001; Antonio Guillen; Desik Rengarajan (AAAI, 2025)

Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. - Soumyendu Sarkar; Avisek Naug; Antonio Guillen; Vineet Gundecha; Ricardo Luna Gutiérrez 001; Sahand Ghorbanpour; Sajad Mousavi; Ashwin Ramesh Babu; Desik Rengarajan; Cullen E. Bash (AAAI, 2025)

Coordinated Robustness Evaluation Framework for Vision-Language Models. - Ashwin Ramesh Babu; Sajad Mousavi; Vineet Gundecha; Sahand Ghorbanpour; Avisek Naug; Antonio Guillen; Ricardo Luna 001; Soumyendu Sarkar (CVPR Workshops, 2025)

Robustness Evaluation for Video Models with Reinforcement Learning. - Ashwin Ramesh Babu; Sajad Mousavi; Vineet Gundecha; Sahand Ghorbanpour; Avisek Naug; Antonio Guillen; Ricardo Luna 001; Soumyendu Sarkar (CVPR Workshops, 2025)

Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. - Soumyendu Sarkar; Ashwin Ramesh Babu; Sajad Mousavi; Vineet Gundecha; Sahand Ghorbanpour; Avisek Naug; Ricardo Luna Gutierrez 001; Antonio Guillen (CoRR, 2025)

Survey of LLM Agent Communication with MCP: A Software Design Pattern Centric Review. - Anjana Sarkar; Soumyendu Sarkar (CoRR, 2025)