{"id":13,"date":"2026-10-17T14:44:44","date_gmt":"2026-10-17T14:44:44","guid":{"rendered":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/home\/"},"modified":"2026-10-18T16:30:17","modified_gmt":"2026-10-18T16:30:17","slug":"home","status":"publish","type":"page","link":"https:\/\/faculty.tarleton.edu\/mmassaoudi\/","title":{"rendered":"Mohamed Sadok Massaoudi, Ph.D."},"content":{"rendered":"

Assistant Professor of AI & Machine Learning<\/strong>
Computer Science & Electrical Engineering
Tarleton State University
Email: mmassaoudi@tarleton.edu<\/a><\/p>\n

Trustworthy AI, Cyber-Physical Security, and Resilient Power Systems<\/strong><\/p>\n

Download CV (PDF)<\/a>Research<\/a>Publications<\/a><\/p>\n

Google Scholar<\/a> \u00b7 ORCID<\/a> \u00b7 ResearchGate<\/a> \u00b7 GitHub<\/a><\/p>\n

About<\/h2>\n

I am an Assistant Professor of Artificial Intelligence and Machine Learning in the Department of Computer Science and Electrical Engineering at Tarleton State University. My research focuses on trustworthy artificial intelligence for cyber-physical systems, with an emphasis on smart-grid cybersecurity, deep learning, reinforcement learning, power-system stability, and resilient critical infrastructure.<\/p>\n

My work integrates data-driven intelligence with domain-specific physical knowledge to improve cyberattack detection, risk assessment, and secure decision-making in complex engineering systems. I hold two Ph.D. degrees, in Electrical Engineering from Texas A&M University and Electronics\u2013Artificial Intelligence from INSAT, Tunisia. My professional experience spans academic research, electrical engineering, and research laboratory management.<\/p>\n

I welcome interdisciplinary collaborations and research opportunities involving artificial intelligence, cybersecurity, smart grids, and intelligent energy systems.<\/p>\n

Impact at a glance<\/h2>\n\n\n\n
2,000+<\/strong>
Citations<\/td>\n		20<\/strong>
h-index<\/td>\n		Top 2%<\/strong>
Scientists worldwide<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Citations and h-index as of October 2026, from Google Scholar<\/a>. Included in the Stanford\u2013Elsevier World’s Top 2% Scientists lists for 2025 and 2026 (official dataset<\/a>). Also recipient of the IEEE Industry Applications Society Second Prize Paper Award (2024) and competitive research funding and academic fellowships (see Awards & Honors<\/a>).<\/p>\n

Latest research highlights<\/h2>\n