CV
Education
- Ph.D. in Engineering, University of Edinburgh (09/2025 - Present)
Topic: Causal AI in Medical Imaging, Advisor: Prof. Sotirios Tsaftaris, member of VIOS Lab - Ph.D. in Computer Engineering (Electrical Engineering), Arizona State University (ASU) (01/2025 - 05/2025)
Topic: AI Practical Applications, 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) Topic: AI Practical Applications, Advisor: Prof. Eirini Eleni Tsiropoulou, Member of PROTON Lab, International Amigo Scholarship
- 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, Accepted
- 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
- Machine Learning Research Engineer, ExcID (05/2025 - 08/2025)
- I developed AI agents that could successfully judge company policies and advice them on how to achieve GDPR compliance
- I also developed AI agents that provided services related to the OpenID Foundation Conformance Suite Tests
- Graduate Research Assistant, PROTON Lab (08/2024 - 05/2025)
- 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
Academic Service
- Subreviewer: Neural Information Processing Systems (NeurIPS), European Conference on Computer Vision (ECCV), IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conducted the paper reviews and the rebuttal discussions.
Selected Schools & Symposia
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
