Md Abu Sayed
  • Bio
  • Papers
  • Projects
  • Talks
  • News
  • Experience
  • Teaching
  • Experience
  • News & Updates
    • NavySim 2.0 accepted for IEEE Transactions on Games
    • Joining the University of Miami as a Postdoctoral Research Scholar
    • Presented two papers at IEEE CASE 2025
    • Feature-aware deep learning paper forthcoming at IEEE FMLDS 2025
    • ThreatMap presented at HMS 2024
    • NavySim presented at IEEE Conference on Games 2024
  • Projects
    • NavySim: Multi-Vessel Simulation Engine
    • Cardiovascular AI: Multimodal Imaging (IVUS/OCT & Angiography) & Agentic Decision Support
    • Joint Intent & Trajectory Prediction (MTITP GAN)
    • Maritime Trajectory Prediction & State Estimation
    • Role Shifting in Human–Robot Collaboration
    • ThreatMap: Maritime Situational Awareness
    • Intent Recognition for Maritime Autonomy
    • Breast Cancer Detection via Multimodal Fusion with GCN
    • Retinal Image Analysis & Local Haar Pattern (LHP) Descriptor
  • Publications
    • NavySim 2.0: Enhanced Multi-Vessel Simulation and Analysis Engine for Advanced Naval Research
    • Early Classification of Intentions for Maritime Domains Using Deep Learning Model
    • Feature-Aware Deep Learning for Maritime Intent Recognition
    • Proactive Maritime Threat Prediction: Vessel Intent Classification with LSTMs and Transformers Using a Sliding Window Approach
    • NavySim: A Multi-Vessel Simulation and Analysis Engine for Naval Domains
    • Keep Sailing: An Investigation of Effective Navigation Controls and Subconscious Learning in Simulated Maritime Environment
    • RAM: Resource Allocation for Multi-agent Maritime Environment
    • Threatmap: A Framework for Enhancing Security Awareness and Decision-Making for Naval Agents
    • Maritime Dynamic Resource Allocation and Risk Minimization Using Visual Analytics and Elitist Multi-Objective Optimization
    • An innovate approach for retinal blood vessel segmentation using mixture of supervised and unsupervised methods
    • A semi-supervised approach to segment retinal blood vessels in color fundus photographs
    • Retinal blood vessel segmentation: A semi-supervised approach
  • Recent & Upcoming Talks
    • Feature-Aware Deep Learning for Maritime Intent Recognition
    • Early Intent Recognition for Maritime Domains
    • ThreatMap: Enhancing Security Awareness for Naval Agents
    • NavySim: A Multi-Vessel Simulation Engine for Naval Domains
  • Teaching
    • CS 422/622: Introduction to Machine Learning
    • CS 491/691: LLMs and Multimodal AI
    • CS 477/677: Analysis of Algorithms
    • CSE 111: Structured Programming
    • CSE 121: Digital Logic Design
    • CSE 211: Data Structures
    • CSE 311: Artificial Intelligence & Neural Networks
    • CSE 313: Database Systems
    • CSE 321: Object-Oriented Analysis and Design
    • CSE 411: Software Engineering
  • Projects

NavySim 2.0: Enhanced Multi-Vessel Simulation and Analysis Engine for Advanced Naval Research

Jun 24, 2026·
Md Abu Sayed
Md Abu Sayed
,
Korben DiArchangel
,
Parvaneh Aliniya
,
Casey Brenner
,
Mayamin Hamid Raha
,
Monica Nicolescu
,
Mircea Nicolescu
,
Sushil Louis
· 0 min read
IEEE Xplore Project Source Document
Type
Journal article
Publication
IEEE Transactions on Games (2026)
Last updated on Jun 24, 2026
Early Classification of Intentions for Maritime Domains Using Deep Learning Model Jan 1, 2025 →

© 2026 Md Abu Sayed. All rights reserved.

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