Malte F. Speidel is a Research and Teaching Associate at the Chair of Computational Intelligence.

He earned his bachelor's degree in computer science in 2024 and completed his master's degree in the same field in 2026.
He is currently pursuing a PhD focused on multi-objective optimization using evolutionary algorithms, with particular attention to optimization under noisy conditions.

His teaching activities include the course intelligent systems as well as the supervision of student theses.

His current research aims to develop robust evolutionary approaches capable of reliably solving complex real-world optimization problems in the presence of uncertainty and noise.

Vita:

2024 – Apr. 2026: Master of Science in Computer Science

2019 – 2024: Bachelor of Science in Computer Science