Milakul Hasana Mim is a Research Assistant at the AVIS Research Lab under the supervision of Dr. Md Mehedi Hasan and an MSc student in the Department of Robotics and Mechatronics Engineering, University of Dhaka.
Her current research focuses on developing an AI-driven EEG digital twin framework for personalized mental health monitoring and cognitive state prediction. The research explores continuously evolving virtual representations of brain activity to support real-time monitoring and prediction of cognitive states, including attention, fatigue, and stress.
By integrating digital twin technology with artificial intelligence, her work aims to move beyond static EEG classification toward continuous and personalized cognitive state monitoring.
Milakul received her BSc in Robotics and Mechatronics Engineering from the University of Dhaka. Her undergraduate thesis, titled “EEG-Actuated Bionic Hand: A Brain-Computer Interface Approach for Advanced Prosthetic Control”, focused on EEG-based intention decoding for advanced prosthetic hand control.
She also contributed to the development of FA-EEGNet, a frequency-adaptive extension of EEGNet designed to better account for variability in EEG signals. The research was presented at IEEE ICECTE 2026.
Research Interests
Signal Processing, Artificial Intelligence, Deep Learning, Brain-Computer Interfaces (BCIs), and Digital Twin Technology.
Selected Publication
FA-EEGNet: Enhancing EEGNet with Frequency-Adaptive Kernels for the Classification of Stroke Rehabilitation Movements.
IEEE ICECTE, 2026.
Search for Milakul Hasana Mim's papers on the Publications page