Short Biography


Dr. Muhammad Asad completed his Ph.D. in Computer Science from the Department of Computer Science, Nagoya Institute of Technology, Japan. He received a 3-year MS degree in Computer Science (MSCS) and a 4-year BS degree in Telecommunication and Networking (BSTN) from Dalian University of Technology, Dalian, China, and COMSATS University Islamabad, WAH Campus, Pakistan, in June 2018 and June 2014, respectively. He received the Chinese Government Scholarship (CSC) from 2015-2018. He also received the Japanese Government Scholarship (MEXT) 2019-2022. His primary research interests include Federated Learning, Deep Learning, Software-Defined Networking (SDN), Wireless Sensor Networks (WSNs), Vehicular Ad-Hoc Networks (VANets), and the Internet of Things (IoT). 

Link to his profile on professional sites:   

Google Scholar

Researchgate  

LinkedIn: Asad Hijaz

ORCID ID: 0000-0003-0036-1714

Scopus: 57210681680

Web of Science Researcher-ID: JKJ-4191-2023

Educational Background

PhD in Computer Science

Nagoya Institute of Technology, Japan

April 2020 - June 2022

Master of Science (MS) in Computer Science and Technology

Dalian University of Technology, China

Sept 2015 - June 2018

Bachelors of Science (BS) in Telecommunication and Networking (BSTN)

COMSATS University Islamabad, Wah Campus

Sept 2010 - June 2014

Ph.D. Thesis

Title: Expanding Federated Learning by Several Strategies to Reduce the Communication Costs

Complete Thesis

MS Thesis

Title: Optimized Routing Protocols for Optimal Data Extraction of Static and Spiral Mobility based WSNs

Published: Technologies, MDPI

Complete Thesis

BS Final Year Project

Title: HADCC: Hybrid Advanced Distributed and Centralized Clustering Path Planning Algorithm for WSNs

Published: Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference

Research Interests