Smart EHR - A Big-Data Approach to Automated Collection and Processing of Multi-Modal Health Signals in a Doctor-patient Encounter. - Abrar Rahman; Ari Mitra; Fuad Rahman 001; Marvin J. Slepian (IEEE BigData, 2019)

A Big-Data Approach to Defining Breathing Signatures for Identifying Respiratory Disease. - Abrar Rahman; Yonathan Weiner; Hailey Swanson; Rebecca Slepian; Anusheh Abdullah; Marvin J. Slepian (IEEE BigData, 2019)

A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN). - Abrar Rahman; John Kriak; Rick Meyer; Sidney Goldblatt; Fuad Rahman 001 (IEEE BigData, 2020)

Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer. - Aswin Raghavan; Jesse Hostetler; Indranil Sur; Abrar Rahman; Ajay Divakaran (CoRR, 2020)

Modeling Influenza with a Forest Deep Neural Network Utilizing a Virtualized Clinical Semantic Network. - Fuad Rahman 001; Abrar Rahman; A. K. M. Shahariar Azad Rabby; Md Jamiur Rahman Rifat; Mridul Banik; Md. Majedul Islam; Aminul Islam; Nor Azriah Aziz; Rick Meyer; John Kriak; Sidney Goldblatt (IEEE BigData, 2021)

Disease Modeling with a Forest Deep Neural Network Utilizing NLP and a Virtualized Clinical Semantic Network. - Fuad Rahman 001; Abrar Rahman; A. K. M. Shahariar Azad Rabby; Md Jamiur Rahman Rifat; Mridul Banik; Md. Majedul Islam; Aminul Islam; Nor Azriah Aziz; Rick Meyer; John Kriak; Sidney Goldblatt (ICTAI, 2021)

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. - Indranil Sur; Zachary Daniels; Abrar Rahman; Kamil Faber; Gianmarco J. Gallardo; Tyler L. Hayes; Cameron E. Taylor; Mustafa Burak Gurbuz; James Seale Smith; Sahana Pramod Joshi; Nathalie Japkowicz; Michael Baron; et al. (AIMLSystems, 2022)

Rental NFT Protocol With Advanced Rewards Splitting. - Andrew Kirillov; Abrar Rahman; Ayush Aggarwal (IEEE Big Data, 2022)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - Zachary Alan Daniels; Aswin Raghavan; Jesse Hostetler; Abrar Rahman; Indranil Sur; Michael R. Piacentino; Ajay Divakaran; Roberto Corizzo; Kamil Faber; Nathalie Japkowicz; Michael Baron; James Seale Smith; et al. (CoLLAs, 2022)

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - Zachary Daniels; Aswin Raghavan; Jesse Hostetler; Abrar Rahman; Indranil Sur; Michael R. Piacentino; Ajay Divakaran (CoRR, 2022)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)

Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs). - Abrar Rahman; Garry Bowlin; Binit Mohanty; Sean McGunigal (CoRR, 2024)

Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning. - Indranil Sur; Aswin Raghavan; Abrar Rahman; James Zachary Hare; Daniel N. Cassenti; Carl E. Busart (CoRR, 2024)