University of Nevada, Reno  ·  PhD Candidate


Mayamin Hamid Raha

Algorithms. Decision Support Systems. Deep Learning · Digital Twins

PhD candidate in Computer Science with hands-on experience in computer vision, deep learning, and digital twin systems. Spanning wildfire response, maritime optimization, and biomedical imaging — with a passion for human-in-the-loop AI and XR research.

15+
Publications
NASA
Funded
ONR
Funded
3.89
PhD GPA
Mayamin Hamid Raha
Research Interests
  • Computer Vision & Deep Learning
  • Digital Twin Systems & Simulation
  • Wildfire Monitoring & UAV Analytics
  • Maritime Intent Recognition
  • Human-in-the-Loop AI
  • Crowd Surveillance & Scene Understanding
  • XR / Extended Reality Research
01 · Experience

Work & Research

Graduate Research Assistant
University of Nevada, Reno (UNR)
Aug 2021 – May 2026

Working on a NASA-funded project developing a hierarchical AI platform integrated with a digital twin for wildfire mitigation — OpenCV-based visual analytics and human-in-the-loop annotation workflows. Contributing to an ONR-funded project for Navy ship asset allocation using genetic algorithms. Collaborated with NCAR, DRI, CAL FIRE, Clemson, and University of Washington. Designed high-fidelity UE5 extraplanetary digital twin for Moon surface robotics with geospatial terrain integration. Published at WACV 2026, IEEE CAMAD 2025, and AGU 2025.

NASAONRDigital TwinOpenCVUnreal Engine 5Human-in-the-LoopGenetic AlgorithmsWildfire AI
Research Intern — Unmanned Maritime Vehicle Lab
NIWC PAC · Naval Research Enterprise
Oct – Dec 2023

Developed computer vision-based perception systems for autonomous navigation of TurtleBot3 using ROS2, Nav2, Gazebo, and RViz. Built OpenCV data visualization dashboards for real-time sensor stream analysis.

ROS2Computer VisionAutonomous NavOpenCVGazebo
Computer Lab Instructor & Research Assistant
North South University (NSU)
Jan 2020 – Jan 2021

Taught classes of up to 160 students in data structures, algorithms, and OOP (C++, Java). Conducted research on 5G-enabled telerobotics for economic growth in Bangladesh.

C++JavaTeaching5G Research
02 · Projects

Key Research Projects

🔥
2024 – Present
FIRETWIN — Human-in-the-Loop Wildfire AI Platform

NASA-funded wildfire management platform integrating physics-based fire simulation with interactive 3D analytics. Human-in-the-loop annotation with fire management professionals. Collaborated with NCAR, DRI, CAL FIRE, Clemson.

NASAUE5Digital Twin
IEEE CAMAD 2025 ↗
🌙
2024 – Present
Extraplanetary Digital Twin — Moon Surface Robotics

High-fidelity lunar terrain with geosynchronization and WGS84 coordinate transforms for robotic mission support and precision navigation to any real lunar location.

NASAUE5span>
2023 – 2025
Multi-Agent Maritime Resource Allocation

OpenCV-integrated visual analytics for real-time risk classification in maritime multi-agent environments with elitist multi-objective optimization (NP-Hard).

ONROpenCVGenetic Algorithms
Springer 2025 ↗
🚢
2022 – 2024
NavySim / Keep Sailing / Threatmap

Multi-vessel simulation engine, subconscious navigation learning study, and security awareness framework for naval agents with HCI user studies.

SimulationHCIUnity
IEEE CoG 2024 ↗
👥
2020 – 2022
Crowd Density Estimation & UAV Surveillance

CSR-Net crowd density estimation on ShanghaiTech dataset. Real-time crowd violence detection and UAV-perspective crowd tracking pipeline.

CSR-NetUAVSurveillance
IJCNN 2021 ↗
🎗️
2022
Mammogram Analysis — Biomedical CV

CNN-based classification and segmentation for breast cancer detection with comparative analysis of statistical and DL density estimation techniques.

CNNSegmentationBiomedical
03 · Demos

Live Demos & Visualizations

FIRETWIN Environment Overview
NASA · UE5 Digital Twin · CAMAD 2025
FIRETWIN — Wildfire Physics Digital Twin

Full pipeline: CAWFE fire prediction model → procedural forest creation → fire spread simulation → interactive analytics → tactical decision making with CAL FIRE professionals.

Adaptive Maritime Resource Allocation
ONR · Multi-Agent · NP-Hard Optimization
Adaptive Maritime Resource Allocation

Vulnerability-aware multi-agent maritime scenario (USS DDG-51) across 243 parameters — an NP-Hard problem. CPA-driven vulnerability mapping enables dynamic adaptive allocation with enhanced collision prevention.

UAV Crowd Surveillance
Computer Vision · UAV · Crowd Tracking
UAV Crowd Surveillance & Density Estimation

DenseCrowd Turbulence Dataset — simulated UAV crowd videos with Binomial Tracking Algorithm for converging/diverging dense crowd group detection and real-time density estimation.

Extraplanetary Digital Twin — Moon Surface
NASA · UE5 . Geospatial
Extraplanetary Digital Twin — Moon Surface

High-fidelity UE5 lunar terrain with Nanite geometry, 3D tiling, and WGS84 coordinate transforms — enabling real-world positioning and precision navigation to any lunar surface location.

04 · Publications

Research Output

2026
FIRE-VLM: A Vision-Language-Driven Reinforcement Learning Framework for UAV Wildfire Tracking in a Physics-Grounded Fire Digital Twin
Webb, C., Habibpour, M., Raha, M. H., Tavakkoli, A., Coen, J., & Afghah, F.
arXiv preprint · 2026
2026
NavySim 2.0: Enhanced Multi-Vessel Simulation and Analysis Engine for Advanced Naval Research
Sayed, M. A., Aliniya, P., Brenner, C., Raha, M. H., Nicolescu, M., Nicolescu, M.
IEEE Transactions on Games · Under Review
2025
FIRETWIN: A Framework for Advancing Multi-Modal Sensing and Interactive Analytics for Tactical Wildfire Response
Raha, M. H., et al.
IEEE 30th International Workshop on CAMAD 2025
2025
Physics-Informed Digital Twin Architecture: Real-World Fire Model Integration for High-Fidelity 3D Wildfire Simulation and VR Visualization
Raha, M. H., Tavakkoli, A., Webb, C., Habibpour, M., Coen, J., Rowell, E., & Afghah, F.
AGU 2025 · NASA ESTO
2025
GeoSync-ERA: A Geo-Synchronized Digital Twin Advancing Dynamic 3D Modeling, Interactive Analytics for Tactical Wildfire Response
Raha, M. H., Tavakkoli, A., Habibpour, M., Webb, C., Coen, J., Rowell, E., & Afghah, F.
AGU 2025
2025
RAM: Resource Allocation for Multi-Agent Maritime Environment
Raha, M. H., Sayed, M., Nicolescu, M., Nicolescu, M., & Louis, S.
Lecture Notes in Electrical Engineering · Springer 2025
2024
NavySim: A Multi-Vessel Simulation and Analysis Engine for Naval Domains
Sayed, M. A., DiArchangel, K., Raha, M. H., Aliniya, P., Nicolescu, M., Nicolescu, M., Louis, S.
IEEE Conference on Games (CoG) 2024
2024
Threatmap: A Framework for Enhancing Security Awareness and Decision Making for Naval Agents
Sayed, M. A., Raha, M. H., Nicolescu, M., Nicolescu, M., & Louis, S.
HMS 2024 · CAL-TEK
2024
Keep Sailing: An Investigation of Effective Navigation Controls and Subconscious Learning in Simulated Maritime Environment
Raha, M. H., Sayed, M. A., Dascalu, S., Nicolescu, M., Nicolescu, M., & Louis, S.
ITNG 2024 — 21st International Conference on Information Technology: New Generations · Springer
2023
Maritime Dynamic Resource Allocation and Risk Minimization Using Visual Analytics and Elitist Multi-Objective Optimization
Raha, M., Sayed, M., Nicolescu, M., Nicolescu, M., & Louis, S.
ICINCO 2023 · SciTePress, Vol. 1, pp. 54–63
2022
UAV CROWD: Violent and Non-Violent Crowd Activity Simulator from the Perspective of UAV
Rahmun, M., Deb, T., Bijoy, S. A., Raha, M. H.
arXiv preprint · 2022
arXiv5 citations
2021
UUCT-HyMP: Towards Tracking Dispersed Crowd Groups from UAVs
Deb, T., Rahmun, M., Bijoy, S. A., Raha, M. H., Khan, M. A.
IEEE IJCNN 2021 · pp. 1–8
IEEE8 citations
2020
CAE: Towards Crowd Anarchism Exploration
Raha, M. H., Deb, T., Rahmun, M., Bijoy, S. A., Firoze, A., Khan, M. A.
19th IEEE ICMLA 2020 · pp. 559–564
IEEE11 citations
2020
Anatomization of the Systems of Dimension Relaxation for Facial Recognition
Raha, M. H., Deb, T., Rahmun, M., Chen, T.
Intelligent Decision Technologies, 14(4), 517–527 · IOS Press
DOI18 citations
2019
Aqua: Water Level Audit and Alimentation for Smart City
Raha, M. H., Ahmed, S., Paul, D.
IEEE IC3I 2019 · pp. 54–58
IEEE11 citations
05 · Skills & Education

Expertise & Background

Computer Vision & Deep Learning
PyTorch / TensorFlow / Keras
OpenCV & Visual Analytics
CNNs / GANs / Transformers / LSTM
Object Detection & Segmentation
Crowd Density Estimation (CSR-Net)
Simulation & Digital Twins
Unreal Engine 5 / Unity
Geospatial Terrain(WGS84)
ROS2 / Nav2 / Gazebo / RViz
VR / XR (MetaQuest2, HoloLens)
VR-Forces / PyGame
Programming & Data
Python
C++ / C#
Java / C / R
Pandas / NumPy / Matplotlib / Seaborn
LaTeX / Git / Linux
Education
2024 – 2026
PhD Candidate, Computer Science & Engineering
University of Nevada, Reno
GPA: 3.89 / 4.00
Computer Vision · Digital Twins · Wildfire AI
2021 – 2023
M.Sc. Computer Science & Engineering (Thesis)
University of Nevada, Reno
GPA: 3.83 / 4.00
Deep Learning · Evolutionary Algorithms · HCI · VR
2015 – 2019
B.Sc. Electrical & Computer Engineering (AI Track)
North South University, Dhaka, Bangladesh
GPA: 3.80 / 4.00 · Summa Cum Laude
Honors & Awards
2024GSA Best Graduate Student Research Award, UNR
2024Graduate Dean's Merit Scholarship, UNR
2022GSA Best International Student Award, UNR
2021Dean's Merit Scholarship — Outstanding International Student, UNR
2019Summa Cum Laude, NSU · IEEEXtreme Champion, NSU
20192nd Runners-Up — Capstone Innovation Challenge
201775% Merit-Based Scholarship, NSU
06 · Contact

Let's Connect

Open to postdoctoral positions, research collaborations, and industry roles in AI, computer vision, and digital twin systems.

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