Responsibilities include:

• Created NavySim, a Unity-based naval simulation engine for advanced naval research, enabling analysis and modeling of multiple vessels in complex scenarios.
• Designed and implemented a real-time framework to enhance situational awareness and threat prediction for naval agents using machine learning algorithms.
• Designed realistic agent models that include systems for sensing and defense and their structured coverage areas.
• Utilized HMMs, LSTMs, Threatmap, and other intent recognition algorithms to provide real-time prediction of vessel intent in the presence of coordinated groups/swarms of adversarial ships/boats

Responsibilities include:

• CS 422/622: Introduction to Machine Learning [Fall 2025]
• CS 477/677: Analysis of Algorithms [Fall 2021, Spring 2022, Fall 2024, Spring 2025]
• Helping students with lessons; Grading and Assisting with homework, exams, and/or written assignments

Responsibilities include:

• Instructed courses: Structured Programming, Data Structure, Artificial Intelligence & Neural Networks, etc.
• Lecture planning, taught and instructed courses, assessing students, holding office hours, invigilating examinations, supervising application development projects, etc.
• Course Coordinator of the Department from December 2019 to July 2021
• Spokeperson of the Sports Teams in ``The Bangabandhu Sports Tournament 2020”

Dissertation on Deep Generative and Explainable Learning Frameworks for Intent Recognition in Multi-Agent Systems. Supervised by Prof. Monica Nicolescu and cosupervised [Prof. Mircea Nicolescu] (https://www.cse.unr.edu/~mircea/). Presented 2 papers at IEEE CASE, 2 forthcoming and 1 under-review conferences/journals.

Courses included:

• Autonomous Mobile Manipulation
• Robotics for Humaity
• Stochastic Deep Learning

GPA: 3.9/4.0

Thesis on Threatmap: A Framework for Enhancing Security Awareness and Decision-Making for Naval Agents. Supervised by Prof. Monica Nicolescu and cosupervised by Prof. Mircea Nicolescu. Presented 1 papers at IEEE Conference on Games, 1 Simulation Conference and published at 3 other conferences/journals.

Courses included:

• Introduction to Machine Learning
• Fundamentals of Deep Learning
• Mass Detection in Mammograms
• Advanced Bioinformatics

GPA: 3.31/4.0

Thesis on Automated method to segment retinal blood vessels from color fundus photographs. Supervised by Prof. G M Atiqur Rahaman and co-supervised by Dr. Sajib Saha