Erich Malan

Erich Malan is a PhD Student in Computer and Systems Engineering (2022-2025) at the Department of Control and Computer Science (DAUIN), Polytechnic University of Turin, where he also serves as an External Lecturer and Teaching Assistant. He holds an M.Sc. in Data Science and Engineering from the same institution (2021).

His research focuses on developing efficient deep learning solutions for IoT networks, with expertise in:

• Distributed and federated learning optimization
• Communication efficiency for low-power IoT nodes
• Privacy-preserving techniques in edge computing
• Automated data annotation and security

His publications concentrate on federated learning optimizations, featuring techniques like layer freezing, homomorphic encryption, and learning rate tuning to address challenges in edge computing environments.

Awards include:

• Speaker recognition at IEEE ICECS 2024
• Speaker recognition at IEEE ISLPED 2023

Teaching activities include serving as Course Collaborator for Computer Science courses in Aerospace Engineering and Computer Science Engineering programs.

He conducts research with the Electronic Design Automation (EDA) Group at DAUIN.