Syed Abdullah Imam

Computer Science Student & AI/ML Research Assistant

Syed Abdullah Imam is a computer science student at the University of North Texas. He’s currently involved in research across machine learning, AR/VR systems, and applied mathematics. His work often explores the mathematical foundations behind intelligent systems, including topics like optimization, probabilistic models, and computational geometry, especially as they relate to robotics and interactive environments.

Get In Touch View GitHub

Education & Academic Excellence

Academic Background

University of North Texas

Honors Bachelor of Science in Computer Science

Minor in Mathematics

Aug 2023 – May 2027 | Dallas, TX

3.8/4.0 GPA Dean's List

Pursuing an interdisciplinary approach combining computer science fundamentals with advanced mathematical concepts, focusing on AI/ML applications and research methodologies.

Advanced Coursework

Data Structures
Applied AI
Natural Language Processing
Systems Programming
Cybersecurity
Linear Algebra
Differential Equations
Advanced Statistics
Calculus I, II, III

Professional Experience & Research

VR/AR Research Assistant

xREZ Art + Science Lab

Sep 2024 – Present

Denton, TX

  • Developing cross-platform AR/VR applications in Unity using C# for immersive research simulations, focusing on UI/UX design and interactive experiences
  • Utilizing Mixed Reality Toolkit (MRTK), OpenXR, and Unity XR pipeline to ensure compatibility across multiple VR/AR devices
  • Implemented real-time data logging and integration with biosensors using Brainflow, C#, and Python for physiological monitoring
  • Designed and built dynamic user interfaces with Unity UI Toolkit, applying version control (Git) for iterative development
Unity C# MRTK OpenXR Brainflow

AI/ML Research Assistant

Biomedical Engineering Department, UNT

Sep 2023 – Present

Denton, TX

  • Developing AI-driven autonomous navigation for Boston Dynamics' Spot robot using advanced Lidar sensor integration and computer vision
  • Optimized real-time motion planning algorithms with linear algebra and calculus for enhanced pathfinding efficiency and obstacle avoidance
  • Leveraging machine learning models for human activity recognition and fall detection via gyroscopic data analysis and sensor fusion
  • Contributing to research publication on robotic assistance for elderly care applications
Python Machine Learning Computer Vision Robotics Lidar

On Campus Instructor

iDTech | June 2025 – July 2025

Designed and taught comprehensive curriculum on programming fundamentals, Python for machine learning, Java programming for Minecraft, and VR game development with Unity and Roblox Studio.

  • Developed interactive simulation environments and coding exercises
  • Led classroom activities and managed student teams
  • Facilitated group collaboration and project-based learning
Teaching Curriculum Design Unity

Differential Equations Research Assistant

Mathematics Department, UNT | Feb 2025 – Present

Analyzing radial solutions to specific nonlinear partial differential equations (PDEs) and investigating the existence of solutions outside of a disk domain.

  • Developing computational models in Python to simulate PDE behavior
  • Applying advanced mathematical analysis techniques
  • Contributing to theoretical mathematics research
Mathematics PDEs Python

Machine Learning Research Assistant

Computer Science Department, UNT | Aug 2024 – Dec 2024

Conducted advanced research on the robustness of CLRNet in lane detection under real-world corruptions, focusing on improving model reliability in autonomous driving applications.

  • Analyzed adversarial attacks on deep learning models
  • Developed resilience strategies for computer vision systems
  • Conducted large-scale experiments to improve ML model generalization
  • Applied statistical analysis to evaluate model performance
  • Contributed to autonomous vehicle safety research
Deep Learning Computer Vision Adversarial ML Autonomous Driving

Featured Projects & Innovations

Campus Marketplace

Full-stack marketplace platform engineered with Flask, MongoDB, and AWS, serving hundreds of active users with optimized backend architecture handling thousands of concurrent requests with minimal latency.

Key Features:

  • CI/CD pipelines with GitHub Actions
  • Enhanced cloud infrastructure with Azure and Cloudflare
  • Scalable architecture with load balancing
Flask MongoDB AWS S3 Azure Cloudflare
View Live Site →

PySheetSQL

Open-source Python library for SQL-like operations on Google Sheets, published to PyPI with comprehensive documentation and optimized query execution for large datasets.

Technical Highlights:

  • Optimized data retrieval and query execution
  • Comprehensive documentation and examples
  • Published to PyPI for easy installation
Python Google Sheets API PyPI
View on GitHub →

Akira Neural Network

Multi-layer neural network built from scratch in Python/NumPy for handwritten digit classification (MNIST), featuring custom layers, activation functions, and manual forward/backward propagation.

Implementation Details:

  • Custom implementation without external ML libraries
  • JSON-based system for saving/loading architectures
  • Performance evaluation and visualization
Python NumPy Pandas Matplotlib
View on GitHub →

Research Publications

A Robotic Dog Payload for the Elderly

IMECE 2024 Conference

DOI: 10.1115/IMECE2024-138030

Research contribution focusing on autonomous robotic assistance for elderly care, integrating AI-driven navigation and human activity recognition systems.

Robotics AI/ML Healthcare Autonomous Systems

Technical Skills & Expertise

Languages

Python C/C++ Java JavaScript TypeScript C# HTML CSS SQL

Frameworks

Flask Django React React Native TensorFlow OpenCV Tailwind CSS Expo

Tools

Git GitHub Docker AWS Azure GCP Unity MongoDB

Specialized

Libraries:

NumPy Pandas Matplotlib Brainflow PyAutoGUI

Core Skills:

  • Team Collaboration
  • Problem Solving
  • Agile/Scrum
  • Project Management

Areas of Expertise

Artificial Intelligence

Machine Learning, Deep Learning, Computer Vision

VR/AR Development

Unity, MRTK, OpenXR, Immersive Experiences

Robotics

Autonomous Navigation, Sensor Integration, Control Systems

Full-Stack Development

Web Applications, Cloud Infrastructure, DevOps

Let's Connect & Collaborate

I'm always interested in discussing new opportunities, research collaborations, innovative projects, or exploring how AI and emerging technologies can solve real-world challenges.

Email

syedabdullahimam@my.unt.edu

LinkedIn

syedabdullahimam

GitHub

Malanaa