Mohammad Nazmus Sadat

Mohammad Nazmus Sadat

Assistant Professor

    Bradley Hall 289
    (309) 677-2369


Ph.D., Computer Science and Engineering, University of Cincinnati, OH, USA
B.Sc., Electrical and Electronic Engineering, Khulna University of Engineering and Technology, Khulna, Bangladesh


Dr. Sadat joined Bradley University as an assistant professor in Fall 2021. Before joining Bradley, Dr. Sadat was a research fellow and graduate research assistant at University of Cincinnati. He also served as an instructor at Shahjalal University of Science and Technology, Bangladesh and Leading University, Bangladesh. He is a Cisco certified network professional and was the lead coordinator of the year-long computer networking workshop at LU.


Courses at Bradley University

Courses Dr. Sadat currently teaches/ has recently taught/ will teach next semester include:

  • CS 102 - Data Structures
  • CS 321 - Operating Systems 
  • CS 330 - Net-Centric Computing
  • CS 472/572 - Distributed Databases and Big Data
  • CIS 495/595 - Software and Web Applications Security

Courses taught before joining Bradley

  • Computer Networks
  • Cellular and Sensor Networks                     
  • Signals and Linear Systems                                              
  • Digital Communication        
  • Electrical Circuits II                                                      
  • Electronics II
  • Energy Conversion III
  • Electrical Services Design


Dr. Sadat’s research interests include quality of experience (QoE), multimedia networking, future Internet architectures, Internet of Things (IoT), and machine learning. His current research projects are:

  • Accurate QoE Models for Emerging Video Applications: Investigate new ways consumers access and interact with video content in modern networks and develop novel QoE prediction frameworks.
  • Information-Driven Video Analytics: Study the challenges and possibilities of automated video analytics in Internet-of-Things (IoT) applications with a view to maximize information dissemination.
  • Cooperative Perception for Autonomous Vehicles: Design decentralized multi-vehicle cooperative perception models harnessing the power of convolutional neural networks.

Dr. Sadat’s research works have been published in journals and conference proceedings in the fields of multimedia communication, information-centric networks, software-defined radio, and edge computing. His quality-aware video streaming platform won the 1st place in the 2020 US Air Force Research Lab (AFRL) Beyond 5G Challenge.


Dr. Sadat is a professional member of ACM, a member of IEEE, and serves as a reviewer of leading journals and conferences in the fields of wireless networking, video communication, quality of experience, and mobile computing. He is the current faculty advisor of Bradley University ACM chapter.