Research Interests
Machine learning on embedded systems
Hardware Accelerators - FPGA, NPU
Accelerated Computer Vision
Edge AI & Cloud computing
Reconfigurable Computing
Computer Architecture
Awards and Achievements
- HiPEAC Paper Award (2020 on FCCM Paper)
- Best paper award nomination on MOCAST (2019)
- Winner of the Open Hardware Contest on Adaptive computing (2020)
- Winner of the Open Hardware Contest on Machine Learning Acceleration (2017, 2019)
- Successful exit of InAccel startup company (Technology acquired by a public US company - 2023)
Participation in Research Projects
- HCCC: Hellenic Chips Competence Center
- IoT Smart Contracts: Smart Contract for IoT embedded systems - Support: Ethereum Foundation
- MORPHEMIC: (EU 2020-2023) Modelling and Orchestrating heterogeneous Resources and Polymorphic applications for Holistic Execution and adaptation of Models In the Cloud
- VINEYARD: (EU 2016-2018) Versatile Integrated Hardware Accelerators in Data Centers (Technical Project Manager)
- CloudAccel: (GR 2017-2019) CloudAccel Hardware Acceleration of Machine Learning Applications in the Cloud (Principal Investigator)
- GreenCenter: (GR 2011-2013) Energy-efficient MPSoCs for Datacenter (Principal Investigator)
- ASTRON: (EU 2012-2016) Adaptive Software defined Terabit tRansceiver for flexible Optical Networks
- COCONUT: (EU 2012-2016) Cost-effective COhereNt Ultra-dense-WDM-PON for lambda-To-the-user access networks
- CHRON: (EU 2010-2013) Cognitive Heterogeneous Reconfigurable Optical Network
Publications & Profiles
Education
- 2007: Ph.D. in Electrical and Computer Engineering, Delft University of Technology
- 2003: M.Sc. in Electronic and Computer Engineering, Technical University of Crete
- 2001: Diploma in Electronic and Computer Engineering, Technical University of Crete
Teaching
Undergraduate Courses
- Digital Systems Design
- Programming Embedded Systems
Graduate Courses
- M.Sc. in Artificial Intelligence and Deep Learning
- Data Centers and Infrastructure for supporting AI
Professional Courses & Tutorials
Available Diploma Theses
Alumni Students [First Job]
- 2026: Orest Kanatso, [Tech Hive Labs], Acceleration of vision Transformer Networks on FPGAs
- 2026: Evelina Dourollari, [Accenture], Energy consumption Assessment of Neural Processing Units, Paper on EEITE 2026 Conf.
- 2025: Adam Asimakopoulos, Integration of JAX framework on Neural Processing Units - NPUs, Paper on PCI 2026 Conf.
- 2025: Aggelos Mpardouniotis, Acceleration of Transformer networks on Neural Processing Units
- 2025: Panagiotis Chatzikiriakos, Pill defect detection in blister packs using computer vision algorithms, Paper on ΗΕΤΙΑ Emerging Tech Conf. 2025
- 2025: Iliada Kotouza, ML optimization on embedded systems for predicting epileptic seizures using EEG signals, Paper on DTTIS 2025
- 2025: Fragkiskos Armaos, IoT System with ML for recently burned forests
- 2025: Aristotelis Kretsimos, Comparison of Computer vision edge platforms for object detection, Poster on HETIA Emerging Tech Conf. 2024
- 2024: Sotiris Michalakeas, Helmet detection using computer vision on the Coral TPU platform, Paper on HETIA Emerging Tech Conf. 2024
- 2024: Nikoleta Koilia, [RTEL World], A comprehensive survey, taxonomy, and comparison of accelerated large language models
- 2024: Vasilis Karvelas, Free parking spot detection using computer vision
- Asim Zoulkatni, [Ph.D. Student at University of Maryland]
- George Tzanos, [Hardware Engineer at NTUA]
- Alexandros Kouris, [Software Engineer at Saphetor]
- Konstantinos Katsantonis, [DevOps Engineer at Upstream]
- Charalambos Kardaris, [Software Engineer at Codasip]
- Dimitris Danopoulos, [Ph.D. Student at NTUA]
- Elias Koromilas, [co-founder at InAccel]
- Ioannis Stamelos, [co-founder at InAccel]
- Giorgos Routis, [Ph.D. student at NTUA]
- Spilios Georgakopoulos, [Engineer at Nokia]
- Nikolaos Gavalas, [Cloud Engineer at Ericsson]
- Pylarinos Miroslav, [IT Security Specialist at IBM]
- Vassilis Koutsoumpos, [Software Engineer at IBM]
- Salvator Galea, [FPGA Engineer at Adveos]
M.Sc. Thesis (AIDL)
- 2026: Aggeliki Koutsika, AI-driven CIP optimisation for water sustainability
Contact Information
Address:
Dept. of Electrical and Electronics Engineering
University of West Attica
Ancient Olive Grove Campus
250 Thivon & P. Ralli
122 41 Egaleo, Greece



