[Professor]
Professor of Computer Science and Engineering at JKKNIU. Research focuses on brain–computer interfacing (BCI), neural signal processing, machine learning, and digital signal and image processing.
Education
Ph.D.
Univ. of Rajshahi · Chonnam Nat'l Univ. · Islamic Univ.
Experience
20+ Years
Teaching & Research
Publications
12
Journal Articles & Proceedings
My research sits at the intersection of neuroscience and intelligent systems. I develop signal-processing and machine-learning methods that decode brain activity from electroencephalography (EEG) signals — from suppressing physiological artifacts to classifying motor imagery — working toward practical brain–computer interfaces and neurorobotics that can assist people with disabilities.
Designing EEG-based brain–computer interfaces that translate neural activity into commands — from motor imagery classification and SSVEP frequency recognition to neurorobotics for assisting people with disabilities.
Processing and cleaning electroencephalography (EEG) signals — artifact and noise suppression, time-frequency analysis and coherence estimation using wavelet and synchrosqueezing transforms.
Applying machine learning and deep-learning models to brain-signal classification, health prediction and intelligent systems, including explainable and data-driven approaches.
Digital filter design and performance analysis, image edge detection, segmentation and binarization techniques for real-world signal and image processing problems.
Prof. Dr. Md. Sujan Ali co-authored 'An Edge-AI Driven Multi-Layered Air Defense Framework: Integrating Sensor Fusion and Cost-Asymmetric Threat Prioritization', presented at the International Conference on Emerging Frontiers in Advanced Sciences and Technologies (EFAST 2026) in June 2026.
Prof. Dr. Md. Sujan Ali's new literary work 'নিঃসঙ্গতা এক মিথ (Loneliness is a Myth)' was published by Hawlader Prokashoni in February 2026, adding to his published collections of poetry and short stories.
