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Imtiaz Ahmed
Also published under:
Affiliation
Howard University Washington, DC, USA
Topic
Unmanned Aerial Vehicles,Communication Systems,Additive Noise,Deep Neural Network,Channel Estimation,Deep Learning,Intelligent Reflecting Surface,Internet Of Things,Bit Error Rate,Outage Probability,Convolutional Neural Network,Hash Function,Monte Carlo Simulation,Normalized Mean Square Error,Atmospheric Turbulence,Baseline Schemes,Channel Gain,Channel Model,Deep Learning Models,Minimum Mean Square Error,Neural Network,Security Protocols,Authentication Protocol,Bottom Of Page,Communication Overhead,Computational Complexity,Energy Consumption,Estimation Strategy,Fading Channel,Free-space Optical Communication,Modulation Scheme,Mutual Authentication,Path Loss,Probability Density Function,Security Analysis,Security Requirements,Session Key,System Performance,User Equipment,Wireless Networks,Artificial Neural Network,Authentication Scheme,Bit Error,Central Processing Unit Time,Communication Network,Data Transmission,Detection Techniques,Energy Harvesting,Ensemble Model,Explainable Artificial Intelligence,
Biography
Imtiaz Ahmed (Senior Member, IEEE) received the Ph.D. degree in electrical and computer engineering from the University of British Columbia, Vancouver, BC, Canada. He is currently working as an Assistant Professor with the Department of Electrical Engineering and Computer Science, Howard University, Washington, DC, USA. He works in the areas of wireless communications, signal processing, and computer networks. After finishing his Ph.D. degree, he worked with Intel Corporation, San Diego, CA, USA, as a Wireless Systems Engineer and Marshall University, Huntington, WV, USA, as an Assistant Professor. His research interests include communications with intelligent reflecting surface, THz-band communications, cell-free communication systems, aerial–terrestrial integrated network, and design of hybrid RF/FSO communication systems.