Bahria University

Discovering Knowledge

DR. MUHAMMAD HUSSAIN

PERSONAL INFORMATION
Email engr.m.hussain.bukc@bahria.edu.pk
Phone. Ext. 02199240002
Research Area Application of Artificial intelligence, resource allocation interference/noise modeling in 5G/6G communications networks, Stochastic process, and Quantum Computing.
Number of Publications 20
QUALIFICATION
DEGREE PASSING YEAR MAJORS UNIVERSITY
Ph.D. 2023 Electrical Engineering: Application of artificial intelligence in next-generation wireless networks. Bahria University, Islamabad, Pakistan
M.Engg 2009 Telecommunication Engineering NED University of Engineering & Technology, Karachi, Pakistan
B.E. 2006 Electronic Engineering NED University of Engineering & Technology, Karachi, Pakistan
TEACHING EXPERIENCE
DESIGNATION FROM TO ORGANIZATION
Associate Professor 01-Jul-2024 Present Software Engineering Department, Bahria University Karachi Campus, Pakistan
Senior Assistant Professor 01-Jul-2017 30-Jun-2024 Electrical/Software Engineering Department Bahria University Karachi Campus, Pakistan
Assistant Professor 01-Jul-2014 30-Jun-2017 Bahria University Karachi Campus, Electrical Engineering Department (Pakistan)
Senior Lecturer 01-Oct-2011 30-Jun-2014 Bahria University Karachi Campus, Electrical Engineering Department (Pakistan)
Lecturer 01-Sep-2009 30-Sep-2011 Bahria University Karachi Campus, Electrical Engineering Department (Pakistan)
Lab Engineer 01-Oct-2007 31-Aug-2009 Bahria University Karachi Campus, Electrical Engineering Department (Pakistan)
DSNG Operator/Engineer 05-Jun-2006 27-Sep-2007 Dawn News TV Karachi, Technical Department (Pakistan)

Publications

Journals & Conferences

  • GPS Aided Inertial Navigation System | International Journal of Recent Technology and Engineering
  • A Computational Power Allocation Scheme for Fair NOMA Downlink System | Journal of Information Communication Technologies and Robotic Applications
  • Performance of Orthogonal Beamforming with NOMA for Smart Grid Communication in the Presence of Impulsive Noise | Arabian Journal for Science and Engineering
  • Nonorthogonal Multiple Access for Next-Generation Mobile Networks: A Technical Aspect for Research Direction | Wireless Communications and Mobile Computing
  • Deep Learning Approaches for Impulse Noise Mitigation and Classification in NOMA-Based Systems | IEEE Access
  • A deep learning-based cancer survival time classifier for small datasets | Computers in Biology and Medicine
  • Solar Powered Electric Bike | European International Journal of Science and Technology
  • Event Extraction Using Word Clustering and Word Embedding for Roman Urdu | Journal of Hunan University Natural Sciences
  • An Advanced 2-Output DNN Model for Impulse Noise Mitigation in NOMA-Enabled Smart Energy Meters | International Journal of Innovations in Science Technology
  • A Comparative Analysis of BER Performance for NOMA in the Presence of Rayleigh Fading and Impulse Noise | International Journal of Innovations in Science Technology
  • Potential Challenges and Solutions for Implementing NOMA in Smart Grid | International Journal of Innovations in Science Technology
  • Particle Filter Based Multi-sensor Fusion for Remaining Service Life Estimation of Energized LV-Aerial Bundled Cables | International Journal of Innovations in Science Technology
  • Performance Evaluation of Fake News Detection Using Artificial Intelligence Techniques | International Journal of Innovations in Science Technology
  • A Hybrid Model for Human Behavior Recognition Using Emotions, Sentiments, and Mood Features | KIET Journal of Computing and Information Sciences


Back to list