Tarek Elfouly

Also published under:Tarek M. Elfouly, Tarek ElFouly, Tarek Mohamed Elfouly, T. Elfouly

Affiliation

Electrical and Computer Engineering Dept, Tennessee Technological University, Cookeville, USA

Topic

Electric Vehicles,Machine Learning Models,Charging Demand,Demand Forecasting,Electric Vehicles Charging,Federated Learning,Learning Algorithms,Long Short-term Memory,Machine Learning,Machine Learning Techniques,Monte Carlo Simulation,Probabilistic Method,Queueing System,Additional Circuitry,Additive Noise,Analog Computing,Anomaly Detection,Aperiodic,Arrival Time,Artificial Neural Network,Aspect Ratio,Autoregressive Integrated Moving Average,Bad Channels,Battery Capacity,Battery Degradation,Battery Lifetime,Battery Management System,Battery Model,Battery Temperature,Bitcoin,Blockchain Technology,Buffer Size,Capacitance Ratio,Cell State,Challenge For Applications,Channel Gain,Channel State,Charge Behavior,Comb-drive,Communication Latency,Complex Operations,Computational Efficiency,Constant Coefficient,Critical Infrastructure,Cryptocurrencies,Cyber Threats,Daily Travel,Data Generation,Data Generation Method,Data Pre-processing,

Biography

Tarek M. Elfouly (M’06–SM’13) received the D.E.A. and Ph.D. degrees from the University of Franche Comte, France, in 1996 and 2000, respectively. He was an Assistant Professor with the University of Ain Shams, Cairo, Egypt. He is currently an Associate Professor with the College of Engineering, Qatar University.
He has over 12 years of experience in computer network research. He has published over 80 papers, and more than half of them are related to wireless sensing and network security. He supervised many postgraduate students and served as an Examiner for many others.
He has many projects under development related to computer networks and security. He has managed to secure more than three million dollars of funds for his research. His projects won many national and regional awards.
His research interests include network security and protocols, physical-layer security, and wireless sensor networks, especially in the field of structural health monitoring and health applications.