A Feature Selection Method Based on Shapley Value to False Alarm Reduction in ICUs A Genetic-Algorithm Approach. - Mohammad Zaeri-Amirani; Fatemeh Afghah; Sajad Mousavi (EMBC, 2018)

Leader-follower based coalition formation in large-scale UAV networks, a quantum evolutionary approach. - Sajad Mousavi; Fatemeh Afghah; Jonathan D. Ashdown; Kurt A. Turck (INFOCOM Workshops, 2018)

ECGNET: Learning Where to Attend for Detection of Atrial Fibrillation with Deep Visual Attention. - Sajad Mousavi; Fatemeh Afghah; Abolfazl Razi; U. Rajendra Acharya (BHI, 2019)

An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs. - Behzad Ghazanfari; Fatemeh Afghah; Kayvan Najarian; Sajad Mousavi; Jonathan Gryak; James Todd (EMBC, 2019)

Inter- and Intra- Patient ECG Heartbeat Classification for Arrhythmia Detection: A Sequence to Sequence Deep Learning Approach. - Sajad Mousavi; Fatemeh Afghah (ICASSP, 2019)

Use of a quantum genetic algorithm for coalition formation in large-scale UAV networks. - Sajad Mousavi; Fatemeh Afghah; Jonathan D. Ashdown; Kurt A. Turck (Ad Hoc Networks, 2019)

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach. - Sajad Mousavi; Fatemeh Afghah; U. Rajendra Acharya (CoRR, 2019)

Single-modal and Multi-modal False Arrhythmia Alarm Reduction using Attention-based Convolutional and Recurrent Neural Networks. - Sajad Mousavi; Atiyeh Fotoohinasab; Fatemeh Afghah (CoRR, 2019)

An Uncertainty Estimation Framework for Risk Assessment in Deep Learning-based AFib Classification. - James Belen; Sajad Mousavi; Alireza Shamsoshoara; Fatemeh Afghah (ACSSC, 2020)

An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations. - Alireza Shamsoshoara; Fatemeh Afghah; Abolfazl Razi; Sajad Mousavi; Jonathan D. Ashdown; Kurt A. Turck (IEEE Access, 2020)

HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks. - Sajad Mousavi; Fatemeh Afghah; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

ECG Language processing (ELP): A new technique to analyze ECG signals. - Sajad Mousavi; Fatemeh Afghah; Fatemeh Khadem; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2021)

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)

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)

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)

ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning. - Seokmin Choi; Sajad Mousavi; Phillip Si; Haben G. Yhdego; Fatemeh Khadem; Fatemeh Afghah (CoRR, 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)

Joint path planning and power allocation of a cellular-connected UAV using apprenticeship learning via deep inverse reinforcement learning. - Alireza Shamsoshoara; Fatemeh Lotfi; Sajad Mousavi; Fatemeh Afghah; Ismail Güvenç (Comput. Networks, 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)

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)