CV

Education

• Ph.D. in Computer Engineering (Electrical Engineering), Arizona State University (ASU) (01/2025 - Present)
  Advisor: Prof. Eirini Eleni Tsiropoulou, Member of PROTON Lab
• Ph.D. in Electrical and Computer Engineering, University of New Mexico (UNM) (08/2024 - 12/2024) Advisor: Prof. Eirini Eleni Tsiropoulou, Member of PROTON Lab, International Amigo Scholar
• M.Sc. in Computer Science, Athens University of Economics and Business (AUEB) (09/2022 - 11/2023)
  Grade: 9.36/10
  Master thesis: “Residential Energy Consumption Optimization through Reinforcement Learning”
  Supervisors: George C. Polyzos and Iordanis Koutsopoulos
• B.Sc. in Computer Science, Athens University of Economics and Business (AUEB) (09/2018 - 07/2022)
  Grade: 8.19/10, Top 6% of all alumni (2017-2022)
  Bachelor thesis: “Ethereum-Crypto-Card game built on Unity”
  Supervisor: George C. Polyzos
• Minor in Philosophy, Deree - The American College of Greece (09/2019 - 06/2021)
  Degree Grade: A, Stavros Niarchos Foundation Scholar, Minor in Ethics and Metaphysics
• High School Education, Pierce - The American College of Greece (09/2012 - 07/2018)
  Graduation Grade: 19.8/20, Graduated 1st in class

Honors & Awards

• 2024: International Amigo Scholarship, Ph.D. in Electrical and Computer Engineering at UNM
• 2023: 1st Place, European Patent Office (EPO) CODEFEST with Helvia.ai team
• 2022: Ranked in the Top 6% of all alumni (2017-2022)
• 2019: Stavros Niarchos Foundation Scholar, funded Minor in Philosophy at Deree
• 2019: Greek Youth Ambassador, XVII World Summit of Nobel Peace Laureates
• 2018: Graduated 1st in class, The American College of Greece (ACG-Pierce)

Publications

• 2025, Odyssefs Diamantopoulos Pantaleon and E. E. Tsiropoulou, “CLEOS: Contract-Theoretic Federated Learning through Over-the-Air-Computation”, IEEE Globecomm 2025, Awaiting Review
• 2025, Odyssefs Diamantopoulos Pantaleon, Aisha B Rahman, and E. E. Tsiropoulou, “BRAVE: Benefit-Aware Data Offloading in UAV Edge Computing Using Multi-Agent Reinforcement Learning”, Simulation Modelling Practice and Theory Journal, Accepted
• 2025, Odyssefs Diamantopoulos Pantaleon, Aisha B Rahman, and E. E. Tsiropoulou, “TANDEM: Trust-aware Sustainable Data Offloading in Multi-access Edge Computing”, IEEE ICC 2025, Accepted
• 2025, Aisha B Rahman, Odyssefs Diamantopoulos Pantaleon, E. E. Tsiropoulou, “NEMESIS: No-Regret E-health User Experience in Multi-Access Edge Computing Systems”, IEEE ICC 2025, Accepted
• 2024, S. Tsikteris, O. Diamantopoulos Pantaleon, E. E. Tsiropoulou, “Cybersecurity Certification Requirements for Distributed Energy Resources: A Survey of SunSpec Alliance Standards”, Energies 2024, Accepted
• 2024, S. Chadoulos, O. Diamantopoulos, I. Koutsopoulos, G. Polyzos and N. Ipiotis, “EMS-env: A Reinforcement Learning framework for residential energy efficiency recommendations”, IEEE SmartGridComm 2024, Accepted
• 2023, L. Loukas, I. Stogiannidis, O. Diamantopoulos, P. Malakasiotis, and S. Vassos, “Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking”, 4th ACM International Conference on Artificial Intelligence in Finance (ICAIF), Accepted
• 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”, International SINERGY Conference on Smart and Innovative eNERGY management, Accepted
• 2023, O. Diamantopoulos, S. Chadoulos, I. Koutsopoulos, G. Polyzos and N. Ipiotis, “Building energy efficiency recommendations with reinforcement learning”, Gender Equality Conference 2023, Accepted

Research Experience

• Graduate Research Assistant, PROTON Lab (08/2024 - Present)
  • Conducting research on the Goaltender Project (collaboration with USA-DOE, Sandia National Labs, ASU)
  • Collecting and labeling IEEE 2030.5 XML and OCPP 2.0.1 JSON payloads for cyber-physical attack detection
  • Exploring supervised and unsupervised machine learning models for cyber-physical attack detection
• Machine Learning Research Engineer, Helvia.ai (11/2022 - 06/2024)
  • Analyzed the cost-effectiveness of Large Language Models in finance
  • Conducted NLP research on scientific text and image classification
  • Won the EPO 2023 Codefest
  • Developed big multi-model pipeline that received as input text and images and classified patents
• Research Assistant, Mobile Multimedia Laboratory, AUEB (09/2022 - 06/2024)
  • Researched household energy cost reduction using Convex Optimization and Reinforcement Learning
  • Worked on blockchain solutions for safeguarding video game assets
• Machine Learning Research Engineer, Plegma Labs (02/2023 - 01/2024)
  • Developed a smart home gymnasium environment for Deep Reinforcement Learning
  • Created RL-driven residential energy management solutions

Teaching Experience

• Teaching Assistant, University of New Mexico (09/2024 - 12/2024)
  • Teaching assistant for “Reinforcement Learning” course
  • Responsible for lecturing and office hours
• Teaching Assistant, AUEB (09/2022 - 07/2023)
  • Assisted in “Mathematics 1” (Fall 2022) and “Databases” (Spring 2023)
  • Responsible for grading and office hours

Skills

• Machine Learning Frameworks: PyTorch, Hugging Face, NumPy, Jax, Keras, pandas (Python), Gymnasium, Ray, Stable-Baselines3
• Experiment Tracking & Versioning: Git, Weights & Biases, Optuna, Anaconda
• Programming Languages: Python, Java, C#, Solidity, Unity, C++, LaTeX
• Other Tools: CVXPY, Docker, Linux, Hadoop, Postman, Notion, Scikit-Learn
• Languages: Greek (Native), English (Proficient - C2), Italian (Beginner - A2)

Hobbies

• Volleyball
• Dog Walking
• Gaming
• Running
• Philosophy & History Book Reading
• Volunteering