Experience

HERON

• Greece
• Oil and Gas
• 100 - 200 Employee

• Project Manager for European Projects

  • Aug 2021 - Present

• Research and Development Specialist - EU Projects Expert

  • Jul 2021 - Aug 2021

  • Research in data driven and AI applications in the energy sector (Demand Response, RES Integration, Electric Vehicles).• Development and coordination of prototypes and pilot projects. • Development of business models and market upscaling of prototypes.• Coordination of externally funded research projects and new proposals



ENGIE

• France
• Utilities
• 700 & Above Employee

• Research and Development Specialist - EU Projects Expert

  • Apr 2021 - Jul 2021

  • Research in data driven and AI applications in the energy sector (Demand Response, RES Integration, Electric Vehicles). • Development and coordination of prototypes and pilot projects. • Development of business models and market upscaling of prototypes. • Coordination of externally funded research projects and new proposals. • Research in data driven and AI applications in the energy sector (Demand Response, RES Integration, Electric Vehicles). • Development and coordination of prototypes and pilot projects. • Development of business models and market upscaling of prototypes. • Coordination of externally funded research projects and new proposals.



ELPEDISON S.A.

• Greece
• Oil and Gas
• 200 - 300 Employee

• Regulatory and Business Analysis Officer

  • Sep 2020 - Apr 2021

  • Development of real-time monitoring processes and tools of gas and electricity market regulatory framework updates in Greece and the EU.• Estimation of the impact of the current market rules in the company’s business and proposal of regulatory improvements.• Coordination of permitting efforts for Utility scale development projects. • Research into business opportunities to bring the company in new segments of the market and identification of their key technological, regulatory and market barriers and how to overcome them. Show less

• Long Term Energy Analyst

  • Mar 2020 - Sep 2020

  • Monitoring of RES Aggregator market behaviour and evaluation of its performance.• Analysis of weather, load and price behavior in order to identify risks to the company position and take appropriate actions to mitigate portfolio risk.• Quantitative assessment of forecasts relevant to medium and long term targets set by the company.



DTU - Technical University of Denmark

• Denmark
• Research Services
• 700 & Above Employee

• Research Scientist

  • Nov 2017 - Mar 2020

  • Data-driven decision support for wind producers trading on financial and day-ahead markets.• Development of stochastic optimisation methods to assess offshore grid expansion.• Risk assessment measures for consumer-centric power systems with varying risk sensitivities.• Project management and stakeholder interaction.Energy Economics and Regulation group @ DTU Management Engineering.Manager Dr. Klaus Skytte

• Postdoctoral Researcher

  • Oct 2013 - Nov 2017

  • Development of simulation based, game-theoretic framework for wind power trading strategies.• Modelling and forecasting of uncertainty in power systems (generation, consumption, market prices) based on stochastic processes.• Development of wholesale market designs and regulatory setups for 100% renewable participants.Energy Analytics and Markets group.Manager: Professor Pierre Pinson



Københavns Universitet - University of Copenhagen

• Denmark
• Research
• 700 & Above Employee

• KU - Visiting Scholar

  • Jan 2013 - May 2013

  • Design of multi-attribute auctions focusing on buyers with uncertain preferences. • Development of a market simulation framework for the evaluation of multi-attribute auctions. In collaboration with Dr. K. Nielsen and Professor J. L. Hougaard, part of the CFEM project. • Design of multi-attribute auctions focusing on buyers with uncertain preferences. • Development of a market simulation framework for the evaluation of multi-attribute auctions. In collaboration with Dr. K. Nielsen and Professor J. L. Hougaard, part of the CFEM project.



Copenhagen Business School

• Denmark
• Higher Education
• 700 & Above Employee

• CBS - Postdoctoral Researcher

  • Oct 2010 - Dec 2012

  • Research in optimal auction design and efficient procurement under uncertainty. • AI based assessment and evaluation in project procurement designing auctions incorporating benchmarking methods e.g. Data Envelopment Analysis (DEA). • Development of a simulation framework for the evaluation of DEA based auctions. Manager: Professor Peter Bogetoft • Research in optimal auction design and efficient procurement under uncertainty. • AI based assessment and evaluation in project procurement designing auctions incorporating benchmarking methods e.g. Data Envelopment Analysis (DEA). • Development of a simulation framework for the evaluation of DEA based auctions. Manager: Professor Peter Bogetoft



University of Southampton

• United Kingdom
• Higher Education
• 700 & Above Employee

• PhD researcher in Computer Science, School of Electronics and Computer Science

  • Oct 2006 - May 2010

  • Research in AI and Game Theory applications in multi-agent distributed systems. • Development of auction-based mechanisms to incentivise selfish citizens to generate accurate and precise costly observations. • AI based evaluation and assessment of data inputs: AI vs human curators. PhD Thesis: “Mechanism Design for Eliciting Costly Observations in Next Generation Citizen Sensor Networks”. Supervisors: Professor Nick Jennings and Dr. Alex Rogers. • Research in AI and Game Theory applications in multi-agent distributed systems. • Development of auction-based mechanisms to incentivise selfish citizens to generate accurate and precise costly observations. • AI based evaluation and assessment of data inputs: AI vs human curators. PhD Thesis: “Mechanism Design for Eliciting Costly Observations in Next Generation Citizen Sensor Networks”. Supervisors: Professor Nick Jennings and Dr. Alex Rogers.



BT Group

• United Kingdom
• Telecommunications
• 700 & Above Employee

• Industrial placement in the Complexity Group

  • May 2006 - Aug 2006

  Industrial placement in the Complexity Group • Game-theoretic applications in multi-agent systems. • Stochastic adaptive learning in minority games (e.g. The El Farol Bar Problem). Industrial placement in the Complexity Group • Game-theoretic applications in multi-agent systems. • Stochastic adaptive learning in minority games (e.g. The El Farol Bar Problem).