Biography

Professional Background

As a recent graduate in Robotics and Mechatronics Engineering from the University of Dhaka, I have developed a strong foundation in automated and industrial systems. My academic journey has been complemented by practical experience in IoT-based systems, sensor integration, and machine learning applications in robotics.

Texas State University Campus

I'm currently a Doctoral Student in the Department of Computer Science at Texas State University under the supervision of Dr. Tsz-Chiu Au, and I'm also a Doctoral Instructional Assistant for the CS 2308 (Fundamentals of Computer Science II) course under Dr. Jill M. Seaman for Fall 2025, where I help students understand fundamental computer science concepts while continuing to develop my own research interests.

Research Philosophy

My research focuses on the intersection of deep learning and robotics, specifically targeting improvements in sensing capabilities and autonomous navigation. I believe that the future of robotics lies in creating systems that can not only perceive their environment accurately but also learn and adapt their navigation strategies based on experience.

Technical Expertise

My expertise spans a wide array of sensors, actuation systems, microcontrollers, and single-board computers. I am also deeply interested in Industrial IoT (IIoT) and its transformative potential in industrial automation.

Future Goals

I aim to pursue graduate studies to further advance my knowledge in deep learning applications for robotics and make meaningful contributions to autonomous navigation systems. My goal is to develop more intelligent, adaptive robotic systems that can operate effectively in complex, dynamic environments.

Research Interests

Current Research Activities

Currently working as a remote Research Assistant on the "Ma (Mother) Mental Health: Artificial Intelligence-Enabled Detection of Perinatal Depression" project at the University of Dhaka, where I manage multimodal data collection and curation for AI-based analysis. At this time, I am contributing towards the writing of a scientific paper for the work to be published in a high-impact journal.

Future Research Directions

I am particularly interested in pursuing doctoral research that combines deep learning with sensing technologies and practical robotic applications, focusing on creating more intelligent and adaptive autonomous systems for both industrial and service robotics applications.

Teaching Experience

Teaching Philosophy

I believe in making complex technical concepts accessible through practical examples and hands-on learning. My approach focuses on helping students understand not just the "how" but also the "why" behind programming concepts, encouraging critical thinking and problem-solving skills.

Areas of Expertise in Teaching

• Programming fundamentals (C++, Python)
• Robotics and embedded systems
• IoT and sensor integration
• Machine learning basics

Student Feedback Approach

I emphasize providing constructive, specific feedback that helps students improve their programming skills while building confidence. I encourage questions and create a supportive learning environment where students feel comfortable making mistakes and learning from them.

Service & Extra-Curricular Activities

Community Involvement

I believe in giving back to the academic and professional community through research collaboration, student mentorship, and knowledge sharing. My service activities reflect my commitment to advancing both education and research in robotics and artificial intelligence.

Future Service Goals

I aim to expand my service contributions through:

• Peer review activities for academic journals
• Organizing workshops and seminars on robotics and IoT
• Mentoring undergraduate students in research projects
• Contributing to open-source robotics and AI projects

Projects

IoT-enabled Scalable Closed Hydroponics System with Smart Parameter Control

Duration: January 2023 - January 2024
Type: Undergraduate Thesis Project
Funding: ICT Division under the ICT Innovation Fund

Project Overview:

• Designed and implemented an IoT-based scalable closed hydroponics system
• Monitored and controlled physical parameters (pH, EC, CO2, Humidity, Temperature)
• Utilized Arduino Nano and Arduino Mega as nodes for sensor and actuator management
• Implemented XGBoost-based classification for independent control actions
• Developed web-based dashboard with real-time monitoring and live video feed

Technologies Used:

• Arduino (Nano, Mega), IoT protocols, sensor integration
• Machine learning (XGBoost), web development
• Data visualization and real-time monitoring systems

Status: Currently under first round of reviews at Smart Agricultural Technology journal

2 DOF Single Claw Crawler Bot using Q-learning

Duration: October 2022 - November 2022
Course: RME 3211: Intelligent Systems and Robots Lab
Type: Self-funded Lab Project

Project Details:

• Designed and built a 2 Degree-of-Freedom single-claw crawler robot
• Implemented Q-learning to optimize servo angle sequences for maximum displacement
• Utilized epsilon-greedy algorithm for faster Q-learning convergence
• Successfully demonstrated autonomous learning and movement optimization

Key Learning Outcomes:

• Reinforcement learning implementation in robotics
• Robot kinematics and mechanical design
• Algorithm optimization and convergence analysis

Publications

Papers in Review

Research Impact

My research contributes to two important areas:

• Social Robotics: Advancing understanding of human-robot interaction in educational contexts
• Agricultural Technology and Intelligent Sensing: Developing intelligent systems for sustainable food production and equipping them with a reliable sensing algorithm that minimizes catastrophically erroneous sensor data

Future Publications

I am currently working on several research directions that will lead to future publications:

• Deep learning applications in robotic sensing
• Autonomous navigation using reinforcement learning
• Multi-modal sensor fusion for robot perception

Education

Academic Skills Developed

• Technical Skills: Programming (Python, C/C++), embedded systems, IoT protocols
• Research Skills: Experimental design, data analysis, technical writing
• Engineering Skills: System design, sensor integration, automation
• Soft Skills: Project management, team collaboration, problem-solving

Academic Achievements

• Completed funded undergraduate thesis project
• Published research in international conference
• Consistent high academic performance across all levels
• Strong foundation in mathematics and engineering principles

Awards & Recognition

Contact Information

Professional Profiles

Response Time

I typically respond to emails within 24-48 hours. For urgent matters, please indicate "URGENT" in the subject line.

Office Hours (Teaching Assistant)

As a Teaching Assistant for CS 2308, I hold regular office hours on Tuesdays (1:30 PM to 4:30 PM) to assist students. Please contact me via email to schedule appointments or check current office hours.