Miroslav Pajic

Research Themes

Applications, Artificial Intelligence & Machine Learning, Trustworthy Computing

Research Interests

Design and analysis of autonomous cyber-physical systems (CPS), and in particular, embedded systems, AI, learning and controls, CPS security and high-assurance autonomy, with various application domains including robotics, automotive, and medical systems

Bio

Miroslav Pajic's research focuses on design and analysis of cyber-physical systems with varying levels of autonomy and human interaction, at the intersection of (more traditional) areas of embedded systems, AI, learning and controls, formal methods and robotics.

Education

• Ph.D. University of Pennsylvania, 2012

Positions

• Professor in the Department of Electrical and Computer Engineering
• Director of Master Studies in the Department of Electrical and Computer Engineering
• Associate Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
• Associate Professor of Computer Science

Courses Taught

• MENG 552: Master of Engineering Supplemental Internship
• MENG 551: Master of Engineering Internship/Project Assessment
• MENG 550: Master of Engineering Internship/Project
• ME 592: Research Independent Study in Mechanical Engineering or Material Science
• ME 591: Research Independent Study in Mechanical Engineering or Material Science
• EGRCOOP 501: Engineering Graduate Cooperative Education 1
• EGR 393: Research Projects in Engineering
• ECE 899: Special Readings in Electrical Engineering
• ECE 891: Internship
• ECE 701S: Being a Successful ECE Masters Student
• ECE 567: Cyber-Physical System Design
• ECE 495: Special Topics in Electrical and Computer Engineering
• ECE 494: Projects in Electrical and Computer Engineering
• ECE 493: Projects in Electrical and Computer Engineering
• ECE 459: Introduction to Embedded Systems
• ECE 392: Projects in Electrical and Computer Engineering
• ECE 292: Projects in Electrical and Computer Engineering