Dr. Lars Lindemann

Assistant Professor

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Biography

Lars Lindemann is an Adjunct Research Assistant Professor at the Thomas Lord Department of Computer Science and the Ming Hsieh Department of Electrical and Computer Engineering. He conducted PhD studies in Electrical Engineering at KTH Royal Institute of Technology in Stockholm, Sweden. His research interests include systems and control theory, formal methods, and autonomous systems. Lindemann has significant experience as an Assistant Professor from 2020 to 2022 and as a postdoctoral researcher from 2016 to 2020. He has been recognized with several awards including the Student Paper Award at the Conference on Decision Control in 2021 (as co-author) and the Outstanding Student Paper Award at the same conference in 2019. His research focuses on leveraging computational advances in artificial intelligence and machine learning to address key challenges in the design of data-driven intelligent systems. Specifically, he aims to bridge control theory, machine learning, and formal methods to create scalable and safe autonomous systems. His contributions include developing theoretical frameworks with performance safety guarantees, as well as efficient algorithms for distributed computation.

Research Interests

Experience

Adjunct Research Assistant Professor

— Present

University of Southern California • Los Angeles, CA

Conducting research in systems and control theory, formal methods, and autonomous systems.

Awards

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Student Paper Award

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Outstanding Student Paper Award

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Finalist Paper Award

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Student Paper Award

Requirements for University of Southern California

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
GRE General
Prerequisites
Bachelor's degree in Engineering, Math, or Hard Science
Application Checklist
  • Online application
  • Official transcripts
  • Personal Statement
  • Resume/CV
  • Letters of Recommendation (not required for MS CS, but allowed)
Specialization Notes

GRE is NOT required for Master's applicants for 2025-2026.