My interests focus on multi-agent systems (learning, mechanism design,
game-theory), e-commerce and double-sided market settings, design of
pricing mechanisms (e.g., auctions) in settings with supply and/or demand
uncertainty, analysis of emergent market behavior via agent-based
simulation, game theoretical analysis of pricing strategies in
competitive markets, and evolutionary algorithms.
News
Feb. 2023 I took on a new role as a Senior Machine Learning Engineer at Sennder in Barcelona.
Oct. 2021 I started working at BEAT, a company that is part of the FREE NOW group. Company shuts download operations in Latin America market in Nov. 2022 (link)
Jul. 2020 On Wednesday 15th of July, I defended my PhD thesis with title: Agent Interactions & Mechanisms in Markets with Uncertainties. Video here:
Oct. 2019 My paper "Degrees of Rationality in Agent-Based Retail Markets" was accepted for publication in the Springer journal Computational Economics.
Jan. 2019 My paper "Forecast-Based Mechanisms for Demand Response" was accepted for publication in the proceedings of AAMAS 2019.
Oct. 2018 The full version of my last paper "SLA-Mechanisms for Electricity Trading under Volatile Supply and Varying Criticality of Demand" has been accepted for publication in the SpringerOpen journal Energy Informatics under the title "Renewable Electricity Trading through SLAs".
Jan. 2017 My paper "SLA-Mechanisms for Electricity Trading under Volatile Supply and Varying Criticality of Demand" has been accepted for publication as an extended abstract in the Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS2017).
Oct. 2016 An extended abstract of my last paper "Incentivizing Intelligent Customer Behavior in Smart-Grids: A Risk-Sharing Tariff & Optimal Strategies" was accepted for publication in the proceedings of BNAIC 2016 in Amsterdam.
Jun. 2016 Check out this video of evolved soft robots to walk on different gravity levels:
Apr. 2016 My paper "Incentivizing Intelligent Customer Behavior in Smart-Grids: A Risk-Sharing Tariff & Optimal Strategies" was accepted for publication in the proceedings of IJCAI 2016.
My paper "Incentivizing Intelligent Customer Behavior in Smart-Grids:..." has been accepted for publication at @ijcai16#ijcai16 NY :)
Feb. 2016 You can download the source code of my publication with title: A Multi-Scale Energy Demand Model suggests sharing Market Risks with Intelligent Energy Cooperatives" (MIT license) here:
The tool can load an arbitrary electricity standard load profile from a csv file, it can then generate synthetic data in any scale, for the discrete, or continuous cases.
Sep. 2015 My paper "A Multi-Scale Energy Demand Model suggests sharing Market Risks with Intelligent Energy Cooperatives" was accepted for publication in the proceedings of ISGT-Asia 2015 an IEEE Power and Energy Society International Conference (IEEE-PES).
Mar. 2015 My paper "Novelty Search for Soft-Robotic Space Exploration" was accepted for publication in the proceedings of GECCO 2015.
Feb. 2015 I accepted a full-time position at Centrum Wiskunde & Informatica (CWI) in Amsterdam as a PhD. candidate.
Dec. 2014 I successfully defended my master thesis with title "Evolution of Soft-Robots by Novelty Search" at the University of Amsterdam.
Sep. 2013 My paper "Orientation Finding using a Grid based Visual Compass" was accepted for publication on the proceedings of BNAIC 2013.
Curriculum Vitae
I graduated from the Technical University of Crete with a
Diploma in Electronic and Computer Engineering in 2012, and a
Master's degree in Artificial Intelligence from the University of
Amsterdam in 2014.
Dutch Nao Team places third in Robocup Iran Open 2013
As a MS.c. student I was a Teaching
Assistant and a member of the Dutch Nao Team, a student team
participating in the RoboCup - Standard Platform League.
I conducted my MS.c. thesis (Novelty search for soft-robotic space exploration) in
collaboration with the European Space Agency, where I worked in the
Advanced Concepts Team during the summer of 2014.
In February 2015, I started my Ph.D research at the Centrum Wiskunde
& Informatica in Amsterdam and the Delft University of Technology. I
defended my doctorate dissertation on the 15th of July 2021.
From Oct. 2019 to Sep. 2021, I worked as a Senior Data Scientist at Machine Learning Programs,
focusing on machine learning applications in insurance markets (e.g., competitive price predition, claim propensity models).
From Sep. 2021 to January 2023, I worked as a Data Scientist at BEAT,
focusing on analysis and development of dynamic pricing strategies.
Since Feb. 2023, I am working as a Senior Machine Learning Engineer at Sennder,
focusing on prototyping and productionization of pricing models in the logistics domain.
You can download my CV here:
Updated: Apr. 2024
Publications
Georgios Methenitis, Michael Kaisers, Han La Poutré, Degrees of Rationality in Agent-Based Retail Markets, Springer Computational Economics, 2019
Georgios Methenitis, Michael Kaisers, Han La Poutré, Forecast-Based Mechanisms for Demand Response, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019
Georgios Methenitis, Michael Kaisers, Han La Poutré, SLA-Mechanisms for Electricity Trading under Volatile Supply and Varying Criticality of Demand, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017
Georgios Methenitis, Michael Kaisers, Han La Poutré, Incentivizing Intelligent Customer Behavior in Smart-Grids: A Risk-Sharing Tariff & Optimal Strategies, International Joint Conference on Artificial Intelligence (IJCAI), 2016
Georgios Methenitis, Michael Kaisers, Han La Poutré, A multi-scale energy demand model suggests sharing market risks with intelligent energy cooperatives, Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE Innovative, 2015
Georgios Methenitis, Daniel Hennes, Dario Izzo, Arnoud Visser, Novelty Search for Soft Robotic Space Exploration, Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015
Georgios Methenitis, Patrick de Kok, Sander Nugteren, Arnoud Visser, Orientation finding using a grid based visual compass, Belgium Netherlands Artificial Intelligence Conference, 2013