Ali Eslami

Ali Eslami is an Associate Professor in the Department of Electrical and Computer Engineering at Wichita State University. His research focuses on applying probabilistic methods and machine learning to study complex systems such as gene regulatory networks and cyber-physical systems. He holds a Ph.D. from the University of Massachusetts Amherst and has collaborated with prominent institutions like Duke University and Georgia Tech. His work spans error control coding, IoT design, and resilient network analysis.

Education:

• Ph.D. in Electrical and Computer Engineering, University of Massachusetts Amherst (2013)
• M.Sc. in Communications Systems & Signal Processing, Sharif University of Technology (2006)
• B.Sc. in Electrical Engineering, Sharif University of Technology (2004)

Research Interests:

• Probabilistic methods for complex networks
• Machine learning in cyber-physical systems
• Error control coding in communications and biological systems
• Resilience in multi-layer networks
• IoT and wireless network design

Awards:

• Recipient of the Young Faculty Risk Taker Award (2017) from Wichita State University's Office of Academic Affairs

Advising & Collaborations:

• Advised over a dozen graduate and undergraduate students, many of whom have pursued roles in academia and industry
• Collaborated with leading researchers at Duke University, Texas A&M, and Georgia Tech

Labs & Teams:

• Leads a research group focused on evolutionary AI and network resilience
• Team members have presented at conferences and developed projects like Shocker Controls TM