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Brandon LuciaView profile

Professor

• Intermittent Computing
• Energy-harvesting Systems
• Concurrency
• +7 more

Brandon Lucia is a Full Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University's College of Engineering. He leads the abstract research group focusing on the intersection of computer architecture, systems, and programming languages. His work bridges theoretical foundations with practical implementations in energy-constrained environments. Lucia's research centers on intermittent computing systems and edge computing in extreme environments. His work on energy-harvesting systems has established fundamental principles for batteryless computing, while his orbital edge computing research pioneers computational intelligence for nanosatellite constellations. These research thrusts address critical challenges in reliability, efficiency, and programmability for systems operating under severe power constraints. His publication record shows a clear evolution from foundational work on intermittent computing models to sophisticated applications in space computing and edge intelligence. Recent publications demonstrate increasing integration of dataflow architectures with energy-harvesting constraints, particularly in satellite constellations where computational resources must be managed across distributed, power-constrained platforms operating in extreme environments. NSF CAREER Award (2017) IEEE TCCA Young Computer Architect Award (2019) Sloan Foundation Fellowship (2021) ASPLOS Best Paper Awards (2018, 2020) OOPSLA Distinguished Paper and Artifact Awards (2015) Lucia actively mentors numerous PhD students including Brad Denby, Zhuo Cheng, and Emily Ruppel, many of whom contribute significantly to his research program. His abstract research group maintains strong industry connections while pursuing fundamental advances in computing systems. The group has developed multiple open-source tools including Legerdemain for program analysis and MultiCacheSim for cache coherence simulation. His laboratory work spans from theoretical foundations of intermittent computing to practical implementations in space systems. Current projects include computational nanosatellite constellations, energy-minimal dataflow architectures, and secure edge computing systems that operate reliably despite frequent power failures.

Kakarountas AthanasiosView profile

Associate Professor

• Computer Architecture
• Embedded Systems
• VLSI Circuits & Systems Design
• +7 more

Dr. Athanasios Kakarountas is an Associate Professor at the University of Thessaly, specializing in Embedded Computing Systems. He leads the Intelligent Systems Laboratory (iSL) and manages ParICT, Central Greece's parallel computing node. His roles include Head of the Department of Computer Science and Biomedical Informatics, Deputy Chairman of GRNET (2019–2023), and Chair of the Central Greece Research & Innovation Committee (2018–2022). He holds an MBA from Cyprus Open University and has extensive industry experience in tech policy, innovation, and entrepreneurship. Education: BSc & PhD in Electrical & Computer Engineering (University of Patras, 1998/2004), MBA (Cyprus Open University, 2015). Research focuses on Computer Architecture, VLSI Design, TinyML, IoT Security, and Healthcare Technologies . Key projects include seizure detection systems, blockchain in supply chains, neuromorphic circuits, and cybersecurity solutions for smart cities. He has published 150+ articles, 2 e-books, and 7 book chapters, with 1,600+ citations. Awards include IEEE's Outstanding Branch Counselor Award (2013). Leadership: IEEE Greece Section Secretary (4 years), Vice-Chair (6 years), and co-Chair of the IEEE eGOV Special Committee. Editor-in-Chief of IEEE Potentials magazine, and active in organizing IEEE conferences and hackathons. Founder of A2rTEST creative team and mentor for robotics/tech competitions. Grants & Projects: Over 30 EU/Greek-funded projects. Labs/Teams: iSL, ParICT, and partnerships with Patras Science Park. Future work emphasizes TinyML for healthcare, IoT security, and smart city infrastructure.

Maria SapounakiView profile

Researcher

• Neuromorphic Circuits
• Spiking Neural Networks
• Neuroprosthetics
• +4 more

Maria Sapounaki is a Researcher at the Intelligent Systems Laboratory and a Ph.D. candidate in the Department of Computer Science and Biomedical Informatics at the University of Thessaly. Her academic journey includes a BSc (2019) and MSc (2021) from the same department, focusing on informatics and computational biomedicine. Her research interests revolve around neuromorphic circuits, spiking neural networks, neuroprosthetics, and low-power system design. She has extensive experience with programming languages (Python, MATLAB, VHDL) and hardware platforms like Arduino and FPGA boards. Notable contributions include advancements in neuromorphic astrocyte-neuron circuits, power-efficient neural-glial interaction implementations, and cybersecurity studies in healthcare. She has also served as a lab instructor for courses like Programming I and Numerical Analysis in the Department of Mathematics. Her publications span topics from neuromorphic hardware design to human factors in healthcare security, reflecting interdisciplinary strengths in engineering and neuroscience.

• Network Security
• IoT Security
• Blockchain Technology
• +4 more

Dr. Georgios Spathoulas is a Teaching Professor at the University of Thessaly's Department of Computer Science and Biomedical Informatics since 2014, where he teaches undergraduate and postgraduate courses. He concurrently serves as a Postdoctoral Researcher at the Critical Infrastructures Security and Resilience group at NTNU CCIS. His research focuses on network security, IoT security, privacy-preserving techniques, and blockchain technology. He holds a Diploma in Electrical & Computer Engineering from Aristotle University of Thessaloniki (2002), an MSc in Computer Science from the University of Edinburgh (2005), and a PhD in Digital Systems from the University of Piraeus (2013). His research interests emphasize secure IoT systems, blockchain scalability, and privacy-preserving algorithms. Notable trends in his publications include advancements in blockchain state channels, cryptographic methods for IoT, and AI-driven cybersecurity solutions. Over 30 peer-reviewed publications highlight his contributions to cybersecurity, digital forensics, and distributed ledger applications. His work addresses challenges such as DNS exfiltration detection, lightweight commitment schemes for IoT, and defensive deception strategies against intruders. Collaborations include national/international projects and roles as a conference program committee member.