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PROFESSORS IN MACHINE LEARNING FOR CYBERSECURITY

Showing page 1 of 1 — 10 professors available publicly

Yang (Cindy) Yi

Yang (Cindy) Yi

Brain-Inspired Computing Neuromorphic Computing Machine Learning for Communications

Yang (Cindy) Yi, Ph.D., is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech and the Director of the BRain-Inspired Computing, Communications, and Security Lab (BRICCS @VT). She also holds roles as a Bradley Senior Faculty Fellow, MICRO...

Vahid Behzadan

Vahid Behzadan

Secure and Assured Intelligent Learning (SAIL) Security of Deep Reinforcement Learning Safety Assessment of Complex Adaptive Systems

Vahid Behzadan is an Associate Professor in Computer Science and Data Science. He is also the founder and director of the Secure and Assured Intelligent Learning (SAIL) research group, and mentors the University's hacking team. Dr. Behzadan's research is primarily on the safety a...

Omar Darwish

Omar Darwish

Internet of Things (IoT) Security IoT and Cybersecurity Lab Research Machine Learning for Cybersecurity

Omar Darwish is an Assistant Professor in the Information Security and Applied Computing Department at Eastern Michigan University’s GameAbove College of Engineering & Technology. He earned his Ph.D. in Computer Science from Western Michigan University (USA) and his M.S. from J...

Sicong Shao

Sicong Shao

cybersecurity threat detection machine learning for cybersecurity AI-driven software engineering

Dr. Sicong Shao is an Assistant Professor in the School of Electrical Engineering and Computer Science at the University of North Dakota (UND). Prior to joining UND, he was a Research Assistant Professor in the Department of Electrical and Computer Engineering at the University o...

	 Diksha Shukla

Diksha Shukla

attack-averse authentication side channel attack formulation wearable device security

I am interested in the security and privacy on computing environments and trustworthiness of digital interactions. Specific research interests include cybersecurity and machine learning. My research spans applications of these areas to wearable devices, biometrics, attack-averse ...

Sara Khanchi

Sara Khanchi

Intrusion Detection Systems (IDS) Malware Analysis Network Traffic Analysis

Sara Khanchi is an assistant professor of computer science at New York Tech’s Vancouver campus. She received her Ph.D. in computer science from Dalhousie University in Halifax, Canada in 2019. She has several years of experience in industry, mainly in areas of malware analysis ...

Shalini Saini

Shalini Saini

Network Intrusion Detection Machine Learning for Cybersecurity Privacy in Healthcare Mobile Apps

Dr. Shalini Saini earned her Ph.D. in Computer Science from Texas A&M University and an M.S. in Computer Science from the University of Alabama. She is currently an Assistant Professor of Computer Science at the University of Maryland Eastern Shore (UMES). Before joining UMES, sh...

Nazia Sharmin

Nazia Sharmin

Cyber Deception Bayesian Modeling Game Theory Integration

I am a Tenure-Track Assistant Professor of Computer Science at Appalachian State University, Boone, North Carolina. My research primarily focuses on cybersecurity, specifically in the areas of cyber deception, Bayesian modeling, and the integration of game theory with machine lea...

Dr. Erika Leal

Dr. Erika Leal

Malware Obfuscation Analysis Hardware-Assisted Malware Detection Machine Learning for Cybersecurity

Dr. Leal is a passionate computer scientist whose research focuses on the realm of cybersecurity. She combines the power of hardware features and machine learning to study malware that has been obfuscated. She enjoys being active in the Cyber@Baylor club and is coach of their com...

Dr. Cordell C. Davidson

Dr. Cordell C. Davidson

edge computing security robotics control systems machine learning for cybersecurity

Cordell C. Davidson, Ph.D. is an Assistant Professor in the Department of Computer Science at the University of South Alabama. His research interests include Artificial Intelligence and Machine Learning, Cyber-security, Edge Computing, and Robotics.