Office Hours

Mondays, 13:00-14:00

Student Opportunities

For students, I offer the option of Guided Research and/or Thesis (BA and MA). 

Currently, I am focusing in the area of collaborative and serverless machine learning in the device-edge-cloud continuum. If you are interested in any of those areas, we can find a topic that fits your interests.

Furthermore, if any of my research interests also fit your goals, please do not hesitate to contact me.

Note: at this moment, I do not have any open topics. (Last updated 03.12.2024)

Research Interests

• Embedded/IoT programming
• Serverless Computing
• Machine Learning
• Profiling
• Edge-Cloud Environments

Teaching

Winter Semester

WS24/25

• Master-Praktikum: IoT (IN2106)
• Master-Seminar: Cloud Computing (IN2107)

WS23/24

• Master-Praktikum: IoT (IN2106)

WS22/23

• Bachelor-Praktikum: IoT Sensor Node Lab (IN0012)

WS21/22

• Bachelor-Praktikum: IoT Sensor Node Lab (IN0012)

Summer Semester

SS24

• Cloud Computing [ÜE]
• Bachelor-Praktikum: IoT Sensor Node Lab (IN0012)

SS23

• Master-Praktikum: IoT (IN2106)

SS22

• SS22: Master-Praktikum: IoT (IN2106)

Guided Research

• Mohamed Mahmoud (2024): Monitor and Modeling Techniques for Senior Homecare using Digital Twin Technologies
• Mohamed Queena (2024): Extending Early Exit and Split Computing to IoT Devices leveraging NAS

Past Thesis

Master Thesis

• Mohamed Mahmoud (2024): Advanced Monitor and Modeling Techniques for Senior Homecare using Digital Twin Technologies

Bachelor Thesis

• Florian Pescollderungg (2024): Exploring Checkpointing for Sleep Phasesin IoT Devices
• Christian Sommer (2023): CoMMS: a Control, Monitor, and Management System for Wireless Sensor Networks
• Marvin Bauer (2023): MeshNOW: A Sensor Mesh Network over ESP-NOW
• Andreas Weiser (2023): Wave height measurement using the BNO055

Publications

• Isaac David Nunez Araya, Michael Gerndt and Mohak Chadha, "EdgeLessPart: Distributed and Progressive Inference for the Edge-Cloud Continuum," [Extended Abstract] in ML4ECS Workshop on HiPEAC 2025, Barcelona, Spain, 2025.
• J. John, I. D. N. Araya and M. Gerndt, "iCheck: Leveraging RDMA and Malleability for Application-Level Checkpointing in HPC Systems," 2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS), Nanjing, China, 2023, pp. 467-474, doi: 10.1109/ICPADS56603.2022.00067.

Education

• [Oct. 2021 - Aug. 2023] M. Sc. Computational Science and Engineering, Technische Universität München, Germany
• [Oct. 2018 - Apr. 2019] TUMExchange Program.
• [July 2014 - Nov. 2020] Lic. in Computer Engineering, Instituto Tecnológico de Costa Rica, Costa Rica