AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning. - Matheus Aparecido do Carmo Alves; Amokh Varma; Yehia Elkhatib; Leandro Soriano Marcolino (AAMAS, 2022)

On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. - Elnaz Shafipour Yourdshahi; Matheus Aparecido do Carmo Alves; Amokh Varma; Leandro Soriano Marcolino; Jó Ueyama; Plamen Angelov 001 (Auton. Agents Multi Agent Syst., 2022)

Information-guided Planning: An Online Approach for Partially Observable Problems. - Matheus Aparecido do Carmo Alves; Amokh Varma; Yehia Elkhatib; Leandro Soriano Marcolino (NeurIPS, 2023)

It Is Among Us: Identifying Adversaries in Ad-hoc Domains using Q-valued Bayesian Estimations. - Matheus Aparecido do Carmo Alves; Amokh Varma; Yehia Elkhatib; Leandro Soriano Marcolino (AAMAS, 2024)

Privacy preservation for federated learning in health care. - Sarthak Pati; Sourav Kumar; Amokh Varma; Brandon Edwards; Charles Lu 001; Liangqiong Qu; Justin J. Wang; Anantharaman Lakshminarayanan; Shih-han Wang; Micah J. Sheller; Ken Chang; Praveer Singh; et al. (Patterns, 2024)

Age-of-Information Minimization via Opportunistic Sampling by an Energy Harvesting Source. - Akanksha Jaiswal; Arpan Chattopadhyay; Amokh Varma (IEEE Trans. Cogn. Commun. Netw., 2024)