I’m currently serving as a Lecturer in the Department of Electrical and Electronic Engineering at Prime University, where I teach courses in Communication Theory, Microwave Engineering, and Circuit Analysis. Alongside teaching, I’m pursuing my Master’s in EEE and continuing to grow my academic and research footprint.
I completed my B.Sc. in Electrical and Electronic Engineering from BUET, where I first stepped into the world of biomedical signal processing. My undergraduate thesis introduced me to the complexity and beauty of the human brain’s deep sleep patterns. Under the guidance of Dr. Mohammed Imamul Hassan Bhuiyan, I worked on automated detection of Cyclic Alternating Patterns (CAP) from EEG signals using deep learning and feature-based machine learning approaches. This work led to my first IEEE conference publication and an ongoing journal manuscript — and it sparked my long-term interest in intelligent systems for healthcare.
My journey didn’t stop there. After graduation, I joined Neural Semiconductor Limited as an Analog Engineer, where I worked hands-on with analog IC design, mixed-signal analysis, and custom layout in 90 nm technology. Designing blocks like SAR-based ADCs gave me a solid foundation in practical VLSI engineering.
At the same time, my research horizon expanded through a collaboration with the University of Virginia’s Social Robotics Lab. There, I explored AI-driven task and motion planning, LLM-based agents, PDDL formulations, and gesture-based human–robot interaction. I worked on building a memory-enabled social agent and integrating it with the Nao Robot for real-time interaction — a project that pushed me deeper into the intersection of robotics, AI, and human-centered design.
Currently, I am serving as a full-time Lecturer at Prime University, Bangladesh, where I am steadily shaping my identity as an educator. Through teaching core EEE courses and mentoring students, I am exploring the craft of academic instruction, curriculum development, and student-centered learning. This role has strengthened my commitment to becoming a well-rounded academic—balancing teaching excellence with meaningful research. I aspire to continue growing in both domains as I move forward in my career.
Today, my academic and research interests revolve around biomedical signal processing, machine learning, deep learning, task and motion planning, and human–robot interaction.
I’m excited to keep pushing my research forward, collaborate with new minds, and explore how AI and engineering can solve real-world problems. Feel free to explore my work and get to know my research journey a little better!