NavySim 2.0 accepted for IEEE Transactions on Games
Our enhanced multi-vessel simulation engine has been accepted for publication in IEEE ToG.
☕️About Me
I am a Postdoctoral Research Scholar at the Center for Digital Cardiovascular Innovations, University of Miami Miller School of Medicine, working with Dr. Yiannis S. Chatzizisis. My research focuses on cardiovascular AI and multimodal clinical decision support systems, combining intracoronary imaging (HD-IVUS, OCT, and angiography) with biomechanical modeling for coronary interventions.
I received my Ph.D. in Computer Science and Engineering from the University of Nevada, Reno (May 2026). My doctoral work focused on autonomous multi-agent systems, developing the NavySim simulation engine (IEEE Transactions on Games), explainable feature attribution methods (CPFI/TFIS), and deep generative models (MTITP) for joint intent recognition and trajectory prediction.
Earlier, I served as a Lecturer in Computer Science and Engineering at The Millennium University, Bangladesh. I also actively contribute as a peer reviewer for journals and conferences including BMC Digital Health, PLOS ONE, Information Systems, and the IEEE Conference on Games.
Interests
- Cardiovascular AI & CDSS
- Joint Intent Recognition & Trajectory Prediction
- Deep Learning & Computer Vision
- Medical Image Analysis & Simulation
Education
Ph.D. in Computer Science & Engineering
University of Nevada, Reno
M.Sc. in Computer Science & Engineering
University of Nevada, Reno
B.Sc. in Computer Science & Engineering
Khulna University, Bangladesh
📚 My Research
My research focuses on cardiovascular AI, medical image analysis, and multi-agent intent recognition. At the University of Miami, I build multimodal clinical decision support systems that integrate IVUS, OCT, and angiography with biomechanical simulations for coronary interventions. During my doctoral studies at the University of Nevada, Reno, I developed simulation engines, feature attribution methods, and generative sequence models for trajectory prediction and intent recognition in autonomous systems.
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Cardiovascular AI & CDSS · Current
Multimodal deep learning integrating HD-IVUS, OCT, and angiography with biomechanical simulation for clinical decision support in PCI.
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Joint Intent Recognition & Trajectory Prediction · PhD
Doctoral research at UNR developing the NavySim simulation engine, feature attribution methods (CPFI/TFIS), and multi-task generative models (MTITP) for intent and trajectory forecasting.
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Foundational & Applied AI
Research across retinal vessel segmentation, mammography analysis with graph neural networks, and human–robot collaboration studies.
Featured Publications
Recent Publications
(2026).
NavySim 2.0: Enhanced Multi-Vessel Simulation and Analysis Engine for Advanced Naval Research.
IEEE ToG.
(2025).
Early Classification of Intentions for Maritime Domains Using Deep Learning Model.
IEEE International Conference on Automation Science and Engineering (CASE).
(2025).
Feature-Aware Deep Learning for Maritime Intent Recognition.
IEEE International Conference on Future Machine Learning and Data Science (FMLDS 2025).
(2025).
Proactive Maritime Threat Prediction: Vessel Intent Classification with LSTMs and Transformers Using a Sliding Window Approach.
IEEE International Conference on Automation Science and Engineering (CASE).
(2024).
NavySim: A Multi-Vessel Simulation and Analysis Engine for Naval Domains.
2024 IEEE Conference on Games (CoG).
Selected Projects
Recent & Upcoming Talks
Recent News
Joining the University of Miami as a Postdoctoral Research Scholar
Starting a postdoc at the Center for Digital Cardiovascular Innovations, applying AI and computational modeling to cardiovascular care.
Presented two papers at IEEE CASE 2025
Presented work on early intent classification and proactive maritime threat prediction at the IEEE Conference on Automation Science and Engineering.
Feature-aware deep learning paper forthcoming at IEEE FMLDS 2025
Paper on feature-aware maritime intent recognition accepted for the IEEE International Conference on Future Machine Learning and Data Science.
ThreatMap presented at HMS 2024
Presented our maritime situational awareness framework at the International Conference on Harbor, Maritime and Multimodal Logistic Modeling & Simulation.
NavySim presented at IEEE Conference on Games 2024
Presented our multi-vessel naval simulator at IEEE CoG in Yokohama, Japan.