Dr. Semih Cayci

Assistant Professor

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Biography

Semih Cayci is a Tenure-Track Assistant Professor in Mathematics specializing in Machine Learning at RWTH Aachen University. His research focuses on Mathematical Foundations of Machine Learning, including Deep Learning Theory, Reinforcement Learning, Applied Probability, and Optimization Theory. Prior to his current position, he was an NSF TRIPODS Postdoctoral Research Fellow at the University of Illinois at Urbana-Champaign. Dr. Cayci earned his Doctorate in Philosophy from the Department of Electrical and Computer Engineering at Ohio State University. His work has been published in various esteemed journals, where he has contributed significantly to the fields of Machine Learning and data science. He is known for his lectures on topics such as Stochastic Analysis, Mathematical Foundations of Reinforcement Learning, and has mentored several PhD and MSc students, helping to advance knowledge in the statistical learning and optimization domains.

Research Interests

Experience

Tenure-Track Assistant Professor

2022-01-01 — Present

RWTH Aachen University • Aachen, Germany

Specializing in Mathematical Foundations and Machine Learning.

NSF TRIPODS Postdoctoral Research Fellow

2020-01-01 — 2022-01-01

University of Illinois at Urbana-Champaign • Urbana-Champaign, IL, USA

Conducting research in statistical learning and optimization.

Courses

Mathematical Foundations of Machine Learning Mathematical Foundations of Reinforcement Learning Stochastic Analysis Mathematical Foundations of Deep Learning Seminar: Mathematical Learning

Requirements for RWTH Aachen University

Master Program
Requirements
GPA Requirement
Required:2.5
GRE General
Verbal
Required:145
Verbal Percentile
Required:15
Quantitative
Required:160
Quantitative Percentile
Required:75
Analytical Writing
Required:3.5
Overall
Required:3.5
TOEFL
Total
Required:90
IELTS
Overall
Required:6.5
Prerequisites
Bachelor's degree in Computer Science or closely related field Substantial background in Computer Science and Mathematics Module description document/Module catalog
Application Checklist
  • Online application via RWTHonline
  • Transcript of Records
  • Degree Certificate
  • Module Catalog/Course Descriptions
  • Tabular Resume/CV
  • Proof of English Proficiency
  • GRE General Test Result (Non-EU/EEA)
Specialization Notes

Includes Software Systems Engineering. GRE is mandatory for Non-EU/EEA applicants.