Mahsa Ghasemi
Scholar

Mahsa Ghasemi

Google Scholar ID: 7KqsRJ8AAAAJ
Assistant Professor of Electrical and Computer Engineering, Purdue University
Machine LearningControl TheoryFormal MethodsArtificial Intelligence
Citations & Impact
All-time
Citations
335
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
27
list available
Resume (English only)
Academic Achievements
  • No specific information provided about publications, awards, or patents.
Research Experience
  • Currently an Assistant Professor at the Elmore Family School of Electrical and Computer Engineering at Purdue University, leading the AKADEMI Group in research.
Education
  • Ph.D. in Electrical and Computer Engineering from The University of Texas at Austin, USA, in 2021, under the supervision of Prof. Ufuk Topcu; M.S.E. in Mechanical Engineering from The University of Texas at Austin, USA, in 2017; B.Sc. in Mechanical Engineering from Sharif University of Technology, Iran, in 2014.
Background
  • Research Interests: Trustworthy sequential decision-making. Professional Field: Electrical and Computer Engineering. Brief Introduction: Assistant Professor at the Elmore Family School of Electrical and Computer Engineering at Purdue University, also affiliated with the Institute for Control, Optimization and Networks (ICON). Leads the Autonomous Knowledge Acquisition and Decision Making (AKADEMI) Group, focusing on theoretical and foundational advancements to enable the design of competent, autonomous systems that co-exist with humans, empower them, and are socially, ethically, and economically beneficial.
Miscellany
  • Contact: mahsa@purdue.edu, (765) 494-3553, Address: Purdue Material Sciences and Electrical Engineering Building, Room 238, West Lafayette, Indiana, 47907, United States