Deepak Tosh

Dr. Deepak Tosh is an Associate Professor at the University of Texas at El Paso in the Department of Computer Science. He specializes in cybersecurity, blockchain, and cyber-physical systems, with a focus on decentralized solutions for critical infrastructure security.

• Ph.D. in Computer Science and Engineering, University of Nevada, Reno
• M.S. in Computer Science, University of Hyderabad, India
• Postdoctoral Researcher, Tennessee State University
• Former Cybersecurity Researcher, Norfolk State University

His research bridges cybersecurity information sharing (CYBEX), data provenance in cloud/edge environments, and game-theoretic models for cyber-investment and cyber-insurance. Recent work explores federated learning for anomaly detection, blockchain for industrial IoT, and cyber deception frameworks.

Key publication trends include:

• Federated learning applications in industrial cyber-physical systems
• Game theory and SDN for battlefield communication security
• Blockchain for provenance in energy systems and medical IoT
• Graph machine learning for automotive network threats
• Cyber deception via Monte-Carlo planning

Scientific recognitions include:

• NSF CAREER award for critical infrastructure resiliency
• NSF grant for cyber security network development

At UTEP, Dr. Tosh teaches CS 5352: Computer Security and leads the TRUCYBER Lab, which focuses on decentralized trust frameworks, blockchain security, and cyber situational awareness. The lab has produced notable alumni like Adeel Malik (Ph.D.) and Abel Gomez (Ph.D.), with projects published in IEEE MILCOM, SecureComm, and CCGrid.