Research & Teaching

Research Interest

1.  Wearable Healthcare Technology

2.  Sleep Quality and Disorder Monitoring 

3.  Monitoring Neurological Disorders

4.  Wearable based Stress Monitoring 

PG Thesis Supervision

1. " Automatic Detection of Paroxysmal Atrial Fibrillation Using Machine Learning Technique" By Md Mayenul Islam (MSc On Going).

2. "Monitoring Mental Fatigue Using EEG Signal" By Md. Shohanur Rahaman (MSc Ongoing).

3.  "Monitoring Sleep Using EEG Signal" By Polash Chandro (MSc Ongoing).

Selected UG Thesis Supervision

1. "Monitoring Sleep Apnea using Single Lead Electrocardiogram Signal" By Partha Pratim Das Turja.

2. "Screening Sleep Disordered Breathing Using A Phone Oximeter" By Nafis Shahriar.

3. "Mental Workload Assessment Using ECG and PPG Signal" By Dipta Kumar Ghoshe.

4.  "Deep Learning Based Motor Imagery Intention Classification Using Electroencephalogram Signal" By Muhammad Sudipto Siam Dip (Ongoing).

Number of UG Thesis Completed: 03(08 Series) + 03(09 Series) + 03(16 Series) + 03(17 Series) = 12

Number of UG Thesis Ongoing: 06(18 Series)+ 06(19 Series) = 12

Post Graduate Level

1.  Wearable Signal Processing and Machine Learning for Healthcare

2.  Statistical Signal Processing

3.  Statistical Machine Learning

4.  Artificial Neural Network

Under Graduate Level

1. Digital Signal Processing

2. Signals and Systems

3. Biomedical Engineering