Dr. Riasat Khan

Assistant Professor & Undergraduate Co-ordinator(EEE/ETE)

Ph.D. (Electrical Engineering), New Mexico State University, USA
MSc (Electrical Engineering), New Mexico State University, USA
BSc (Electrical & Electronic Engineering), Islamic University of Technology (IUT), Bangladesh

Office: SAC 920
Office hours:

STMW 09:00 am – 09:30 am

MW 01:00 am – 02:30 pm

ST 11:20 am – 2:30 pm

Phone: +88 02 55668200 Ext – 6382


Riasat Khan is currently working as an Assistant Professor in the Electrical and Computer Engineering department of North South University, Dhaka, Bangladesh. He completed his B.Sc. degree in Electrical and Electronic Engineering (EEE) from IUT, Bangladesh. Soon after his graduation, he joined Green University of Bangladesh as a lecturer. Later, he completed his MSc and Ph.D. in Electrical Engineering from New Mexico State University, USA. During his Ph.D., Riasat worked as a Graduate Teaching Assistant and had been awarded Outstanding Teaching Assistant Award. His Ph.D. work was on computer simulations of finite difference modeling of cardiac electrophysiology.

Research Areas

Research Interests


Computational Modeling in Cardiovascular Systems

Biomedical Engineering


Selected Publications

  • Riasat Khan and Kwong T Ng, “DMD-Galerkin Model Order Reduction for Cardiac Propagation Modeling,” Applied Computational Electromagnetics Society Journal, 2018
  • N. A. Mimma, T. Rahman, S. Ahmed and R. Khan, “Fruits Classification and Detection Application Using Deep Learning,” Scientific Reports, 2022
  • M. N. I. Suvon, S. C. Siam, M. Ferdous, M. Alam and R. Khan, “MS and PhD Admission Prediction of Bangladeshi Students into Different Classes of Universities,” IAES International Journal of Artificial Intelligence, 2022
  • M. T. Islam, S. T. Mashfu, A. Faisal, S. C. Siam, I. T. Naheen and R. Khan, “Deep Learning Based Glaucoma Detection with Cropped Optic Cup and Disc and Blood Vessel Segmentation,” IEEE Access, 2022
  • N. H. Tasnim, S. Afrin, B. Biswas, A. A. Anye and R. Khan, “Automatic Classification of Textile Visual Pollutants using Deep Learning Networks,” Alexandria Engineering Journal, 2022
  • A. Hossain, M. J. Anee, R. Faruqui, S. Bushra, P. Rahman and R. Khan, “A GPS Based Unmanned Drone Technology for Detecting and Analyzing Air Pollutants,” IEEE Instrumentation & Measurement Magazine, 2022
  • I. Tasin, T. U. Nabil, S. Islam and Riasat Khan, “Diabetes prediction using machine learning and explainable AI techniques,” Healthcare Technology Letters, 2022
  • M. M. Ratul, K. A. Rahman, J. Fazal, N. R. Abanto and R. Khan, “Face Mask and Social Distance Monitoring via Computer Vision and Deployable System Architecture,” Intelligent Automation & Soft Computing, 2023
  • A. Rahman, M. B. H. Hriday and R. Khan, “Computer vision-based approach to detect fatigue driving and face mask for edge computing device,” Heliyon, 2022
Conference Papers
  • Riasat Khan and Kwong T Ng, “Model Order Reduction for Finite Difference Modeling of Cardiac Propagation using DMD Modes,” IEEE International Applied Computational Electromagnetics Society Symposium, Denver, CO, 2018
  • Riasat Khan and Kwong T Ng, “Model Order Reduction of Finite Difference Bidomain Modeling of Cardiac Propagation,” Biomedical Engineering Society Annual Meeting, Phoenix, AZ, 2018
  • Riasat Khan and Kwong T Ng, “Higher Order Finite Difference Modeling of Cardiac Propagation,” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, 2017