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ORCIDSahand Ghorbanpour
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2020 – today
- 2026
[c20]Soumyendu Sarkar, Antonio Guillen-Perez, Zachariah Carmichael, Avisek Naug, Refik Mert Cam, Vineet Gundecha, Ashwin Ramesh Babu, Sahand Ghorbanpour, Ricardo Luna Gutierrez:
Fast 3D Surrogate Modeling for Data Center Thermal Management. AAAI 2026: 39201-39210- 2025
- [c19]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Ricardo Luna Gutiérrez, Antonio Guillen, Desik Rengarajan:
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. AAAI 2025: 27628-27635 - [c18]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutiérrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen E. Bash:
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. AAAI 2025: 29694-29696 - [c17]Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna, Soumyendu Sarkar:
Coordinated Robustness Evaluation Framework for Vision-Language Models. CVPR Workshops 2025: 712-720 - [c16]Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna, Soumyendu Sarkar:
Robustness Evaluation for Video Models with Reinforcement Learning. CVPR Workshops 2025: 4362-4370 - [i16]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen:
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. CoRR abs/2501.14122 (2025) - [i15]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen E. Bash:
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. CoRR abs/2502.08337 (2025) - [i14]Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna, Soumyendu Sarkar:
Coordinated Robustness Evaluation Framework for Vision-Language Models. CoRR abs/2506.05429 (2025) - [i13]Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Soumyendu Sarkar:
Robustness Evaluation for Video Models with Reinforcement Learning. CoRR abs/2506.05431 (2025) - [i12]Avisek Naug, Antonio Guillen, Vineet Kumar, Scott Greenwood, Wesley Brewer, Sahand Ghorbanpour, Ashwin Ramesh Babu, Vineet Gundecha, Ricardo Luna Gutierrez, Soumyendu Sarkar:
LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers. CoRR abs/2511.00116 (2025) - [i11]Antonio Guillen-Perez, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Munther Salim, Shubhanker Banerjee, Eoin H. Oude Essink, Damien Fay, Soumyendu Sarkar:
DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads. CoRR abs/2511.00117 (2025) - [i10]Soumyendu Sarkar, Antonio Guillen-Perez, Zachariah Carmichael, Avisek Naug, Refik Mert Cam, Vineet Gundecha, Ashwin Ramesh Babu, Sahand Ghorbanpour, Ricardo Luna Gutiérrez:
Fast 3D Surrogate Modeling for Data Center Thermal Management. CoRR abs/2511.11722 (2025) - 2024
- [c15]Soumyendu Sarkar
, Avisek Naug, Ricardo Luna, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu:
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. AAAI 2024: 22322-22330 - [c14]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour:
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. AAAI 2024: 23829-23831 - [c13]Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Cullen E. Bash, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Desik Rengarajan, Soumyendu Sarkar:
SustainDC: Benchmarking for Sustainable Data Center Control. NeurIPS 2024 - [c12]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. WACV 2024: 4406-4415 - [i9]Soumyendu Sarkar, Avisek Naug, Ricardo Luna, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu:
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. CoRR abs/2403.14092 (2024) - [i8]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour:
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. CoRR abs/2403.18985 (2024) - [i7]Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho:
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. CoRR abs/2404.10991 (2024) - [i6]Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar:
A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration. CoRR abs/2404.12498 (2024) - [i5]Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Desik Rengarajan, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Soumyendu Sarkar:
SustainDC - Benchmarking for Sustainable Data Center Control. CoRR abs/2408.07841 (2024) - 2023
- [c11]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
Robustness with Black-Box Adversarial Attack using Reinforcement Learning. SafeAI@AAAI 2023 - [c10]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement. CASE 2023: 1-8 - [c9]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Vineet Gundecha:
Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin. CASE 2023: 1-8 - [c8]Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar:
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CASE 2023: 1-8 - [c7]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna, Avisek Naug:
Robustness with Query-efficient Adversarial Attack using Reinforcement Learning. CVPR Workshops 2023: 2330-2337 - [c6]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna, Avisek Naug:
RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning. CVPR Workshops 2023: 3861-3869 - [c5]Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho:
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. IJCAI 2023: 6201-6209 - [c4]Avisek Naug, Antonio Guillen, Ricardo Luna Gutiérrez, Vineet Gundecha, Sahand Ghorbanpour, Lekhapriya Dheeraj Kashyap, Dejan Markovikj, Lorenz Krause, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar:
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability. BuildSys 2023: 232-235 - [i4]Avisek Naug, Antonio Guillen, Ricardo Luna Gutiérrez, Vineet Gundecha, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Lorenz Krause, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar:
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability. CoRR abs/2310.03906 (2023) - [i3]Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar:
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CoRR abs/2310.03912 (2023) - [i2]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna, Antonio Guillen, Avisek Naug:
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. CoRR abs/2310.18626 (2023) - 2022
- [c3]Soumyendu Sarkar, Vineet Gundecha, Alexander Shmakov, Sahand Ghorbanpour, Ashwin Ramesh Babu, Paolo Faraboschi, Mathieu Cocho, Alexandre Pichard, Jonathan Fievez:
Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter. AAAI 2022: 12135-12144 - [c2]Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Alexandre Pichard, Mathieu Cocho:
Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters. CASE 2022: 212-219 - [i1]Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Alexandre Pichard, Mathieu Cocho:
Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters. CoRR abs/2209.05656 (2022)
2000 – 2009
- 2008
- [c1]Soheil Bahrampour, Sahand Ghorbanpour, Amin Ramezani:
Combination of Breeding Swarm Optimization and Backpropagation Algorithm for Training Recurrent Fuzzy Neural Network. ICINCO-ICSO 2008: 314-317
Coauthor Index
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last updated on 2026-03-20 23:56 CET by the dblp team
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