Odyssefs Diamantopoulos Pantaleon
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650 E. Tyler Mall Tempe, AZ 85281
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Mail code: 5706Campus: Tempe
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Student Information
Graduate StudentComputer Engineering (Electrical Engineering)
Ira A Fulton Engineering
Hi I am Odysseas (pronounced as oh - dh ee s - s EH - aa s). I am currently a PhD student at the Arizona State University, under the supervision of Prof. Eirini Eleni Tsiropoulou, and a member of the PROTON Lab. My research focuses on leveraging Reinforcement Learning (RL) techniques to solve real-world complex problems. I am particularly interested in creating agents that will be able to tackle tough challenges in fields such as Edge AI, Smart Grid Systems, Electric Vehicle Networks and other Multimodal applications.
- PhD in Computer Science, 2025-Present, Arizona State University
- PhD in Computer Science, 2024-2025, University of New Mexico
- MSc in Computer Science, 2022-2023, Athens University of Economics and Business
- BSc in Computer Science, 2018-2022, Athens University of Economics and Business
- Minor in Philosophy, 2019-2021, The American College of Greece - Deree
- Reinforcement Learning
- Federated Learning
- Agent Decision Making in Complex Environments
- Multi-Agent Decision Making
- Game Theory
- Multimodality
- Over the Air Computing
Performance and Resource Optimization in Networks Lab - PROTON LAB
- 2025, Odyssefs Diamantopoulos Pantaleon, Aisha B Rahman, and E. E. Tsiropoulou, "TANDEM: Trust-aware Sustainable Data Offloading in Multi-access Edge Computing", Accepted in IEEE ICC 2025
- 2025, Aisha B Rahman, Odyssefs Diamantopoulos Pantaleon, E. E. Tsiropoulou, "NEMESIS: No-Regret E-health User Experience in Multi-Access Edge Computing Systems", Accepted in IEEE ICC 2025
- 2024, S. Tsikteris, O. Diamantopoulos Pantaleon, E. E. Tsiropoulou, "Cybersecurity Certification Requirements for Distributed Energy Resources: A Survey of SunSpec Alliance Standards", Accepted in Energies 2024, doi: https://doi.org/10.3390/en17195017
- 2024, S. Chadoulos, O. Diamantopoulos, I. Koutsopoulos, G. Polyzos and N. Ipiotis, "EMS-env: A Reinforcement Learning framework for residential energy efficiency recommendations", Accepted in IEEE SmartGridComm 2024, doi: 10.1109/SmartGridComm60555.2024.10738082
- 2023, L. Loukas, I. Stogiannidis, O. Diamantopoulos, P. Malakasiotis, and S. Vassos, "Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking", Accepted in: 4th ACM International Conference on Artificial Intelligence in Finance (ICAIF), doi: https://doi.org/10.1145/3604237.36268
- 2023, S. Chadoulos, S. Athanasoulias, S. Kalogridis, N. Ipiotis, O. Diamantopoulos, I. Koutsopoulos and G. Polyzos, "Energy Optimization of Building IoT Infrastructures in a Stratified Way", Accepted in: International SINERGY Conference on Smart and Innovative eNERGY management, doi: 10.5281/zenodo.12800672
- 2023, O. Diamantopoulos, S. Chadoulos, I. Koutsopoulos, G. Polyzos and N. Ipiotis, "Building energy efficiency recommendations with reinforcement learning", Accepted in: Gender Equality Conference 2023, Athens, Greece
Research Assistant
Performance and Resource Optimization Lab (PROTON Lab), Arizona State University
- Over the Air Computing evaluation in Federated Learning settings
- Federated Learning framework and algorithm development to address Internet of Things problems
- Application of game theory and optimization for developing decision-making algorithms.
- Application of reinforcement learning for localization using UAVs through integrated sensing and communication.
Graduate research Assistant
August 2024 – Present
Goaltender Project: Cloud-Based Defense and Response Tools for the DER Ecosystem
- A joint research project by the Department of Energy, the Sandia National Laboratories, and Arizona State University.
- Collected large, labeled dataset of IEEE 2030.5 XML and OCPP 2.0.1 JSON payloads, and parsed and pre-processed the collected dataset to create a training dataset for machine learning-based cyber-attack detection.
- Extracted informative features from the collected payloads to distinguish between malicious and benign data samples.
- Explored and evaluated multiple machine learning models for malware detection, considering supervised and un-supervised learning methods
- 2024, International Amigo Scholarship awarded to pursue a PhD in Computer Science at the University of New Mexico
- 2023, 1st Place in the 2023 European Patent Office (EPO) CODEFEST with Helvia.ai team
- 2022, Ranked in the Top 6% of all alumni between 2017 and 2022
- 2019, Stavros Niarxos Foundation Scholar, funded Minor in Philosophy at Deree
- 2019, Greek Youth Ambassador at XVII World Summit of Nobel Peace Laureates
- 2018, Graduated 1st in my class at Pierce Highschool
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11/2022 – 6/2024, Machine Learning Research Engineer Helvia.ai
• Conducted research to analyze the cost-effectiveness of LLMs in the domain of Finance
• Conducted NLP research on scientific text and image classification and won the European Patent Office (EPO) 2023 Codefest
• Constructed complex pipelines to evaluate state-of-the-art Retrieval-Augmentation Generation techniques utilizing Large Language Models -
9/2022 – 6/2024, Research Assistant Mobile Multimedia Laboratory - Athens University of Economics and Business
• Conducted research on reducing household energy costs using Convex Optimization and RL techniques
2/2023 – 1/2024, Machine Learning Research Engineer Plegma Labs
• Explored the creation of Residential Energy Managers using Reinforcement learning (RL)