Dr. Kevin Martin Aigner

Professor

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Biography

Kevin-Martin Aigner is a professor in the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg. His research focuses on optimization and uncertainty in data analysis. He is involved in various projects that aim to model and optimize energy systems at a regional level, emphasizing the coupling of different energy sectors including electricity, gas, heat, and transport. His work includes grant-funded initiatives that address mathematical modeling, simulation, and optimization based on complex data inputs and variable uncertainties. Aigner is also actively engaged in academic conferences and workshops, contributing to discussions on topics such as robust optimization and the integration of renewable energy sources into existing grids. He has published research findings in reputed journals and has been recognized for his contributions to the field through awards and invitations to speak at major academic events.

Research Interests

Experience

Professor

2020-01-01 — Present

Friedrich-Alexander-Universität Erlangen-Nürnberg • Erlangen, Germany

Leading the research group in optimization and uncertainty in data analysis.

Courses

Discrete Optimization Seminar “Decomposition Methods” Master Seminar “Mixed-Integer Nonlinear Optimization”

Requirements for Friedrich-Alexander-Universität Erlangen-Nürnberg

Master Program
Requirements
GPA Requirement
Required:2.5
TOEFL
Total
Required:85
IELTS
Overall
Required:5
Prerequisites
Bachelor's degree in Computer Science or a closely related subject Proof of relevant subject-specific knowledge (approx. 120 ECTS in CS modules)
Application Checklist
  • Bachelor's degree certificate
  • Transcript of Records
  • Secondary school leaving certificate
  • CV
  • Letter of Motivation
Specialization Notes

Department of Computer Science. Program involves a Qualification Assessment Process (QAP).