Research & Innovation • Aviation • Aerospace

Dr Asteris Apostolidis

Dr Asteris Apostolidis
Professional highlights of Dr Asteris Apostolidis

My mission

I’m a technologist working across physical and digital engineering. My work sits at the intersection of aviation, technology, strategy, and sustainability. I bring technical, managerial, and research expertise from airlines, academia, and aerospace manufacturers, and I’ve led projects spanning aircraft system design, simulation, operations, and maintenance—as well as modelling of aviation processes. I serve on EASA’s Rulemaking Committee on Trustworthy AI (RMT.0742), I lead the Diagnostics & Prognostics Working Group of the Independent Data Consortium for Aviation (IDCA), and I am an expert for the European Commision, alongside roles on advisory boards, editorial boards, international working groups, and academia as a visiting scholar.

Selected organisations and partners

Selected Projects

Aircraft fleet and network planning concept
KLM Fleet Lab

Integrated Fleet Decision Support

Simulation-led decision support for future fleet choices across maintenance, operations, and network planning.

Aircraft turnaround and airport ground operations
KLM Emerging Technologies Lab

Digital Twin for Airline Operations

Simulation and operational intelligence for more predictable aircraft turnaround performance.

Abstract trustworthy artificial intelligence and aviation certification concept
European Union Aviation Safety Agency (EASA)

Trustworthy AI for Aviation

Contributing to the regulatory and technical foundations for safe, explainable, and certifiable AI in aviation.

Aircraft maintenance and predictive maintenance technology
Amsterdam University of Applied Sciences | Bright Sky Consortium

Predictive Maintenance & Prognostics

Using data-driven diagnostics and prognostics to reduce disruption, waste, and unnecessary maintenance.

Aero engine turbine and aerothermal modelling concept
Airbus | Safran Aircraft Engines

Aerothermal Modelling of the CFM LEAP-1A Engine

Physics-based modelling of turbine cooling and heat transfer for next-generation aircraft propulsion.

News

Current Professional Appointments

KLM Royal Dutch Airlines

Senior Technical Innovation Lead

(05/2023–present, Amsterdam, the Netherlands)

  • I lead the Fleet and Emerging Technologies Labs within KLM, exploring the applicability of future technologies.
  • I focus on Simulation & Digital Twins, Optimisation, Data Exchange, Trustworthy AI, and Autonomy for Operations.

Amsterdam University of Applied Sciences

Senior Research Associate; ex-Associate Professor & Lab Lead

(06/2021–present, Amsterdam, the Netherlands)

  • I lead industrial research with partners like Air France-KLM, the Royal Dutch Airforce, and MTU Aero Engines, among others.
  • I co-developed the €24M Bright Sky Consortium (RVO R&D Mobility Fund) and contributed to the faculty's resarch strategy.

EASA — European Union Aviation Safety Agency

Independent Expert in New & Emerging Technologies; Rulemaking Task Member

(09/2024–present, Cologne, Germany)

  • I provide technical expertise in several areas around new and emerging technologies in aviation.
  • I participate in the Rulemaking Task RMT.0742, overseeing the regulatory framework for AI in aviation.

Education

  • PhD, Turbine Cooling and Heat Transfer Modelling for Gas Turbine Performance Simulation — Cranfield University (2014).
  • MSc (Distinction), Thermal Power — Aerospace Propulsion — Cranfield University (2010).
  • Dipl. Eng., Mechanical Engineering (Energy & Aeronautics) — Aristotle University of Thessaloniki (2009).
  • PhD Thesis Repository →

Industrial & Academic Consortia

  • Bright Sky — Innovations in Predictive Maintenance, MRO, Security, Training (RVO R&D Mobility Fund, 2021-2025).
  • CIMPLO — Cross-industry Predictive Maintenance & Dynamic scheduling platform (NWO Smart Industry, 2017-2022).
  • Data Mining in MRO — Data Analytics & Predictive Maintenance in aviation MRO (NWO / SIA RAAK MKB, 2016-2019).

Selected Publications

Peer-reviewed papers, conference proceedings and book chapters on predictive maintenance, diagnostics & prognostics, trustworthy AI, and gas turbine modelling.

  • "Electric Aircraft Operations: An Interisland Mobility Case Study" Aerospace (2024).
  • “AI-Based Exhaust Gas Temperature Prediction for Trustworthy Safety-Critical Applications”, Aerospace (2022).
  • “Aviation Data Analytics in MRO Operations: Prospects and Pitfalls” IEEE RAMS (2020).
  • See the full list in Google Scholar →

Selected Invited Talks

  • Invited Panelist: “The continuum of compute”, Annual Quantum Global 2026, The Economist, London, UK (2026).
  • Invited Talk: “Innovation Beyond AI: What is Next”, EUROCONTROL Innovation Hub, Paris, France (2025).
  • Keynote: “Revolutionising aerospace with trustworthy AI”, Aviation New Technology Forum, Guangzhou, China (2025).
  • Invited Talk: "Towards Net-Zero Aviation with AI”, Georgia Institute of Technology, Atlanta, USA (2024).
  • Invited Lecture: “AI for Aviation MRO”, Responsible AI Series, The Alan Turing Institute, UK (2022).

Selected Awards & Distinctions

  • Scholarships and sponsorships from Rolls-Royce plc, the German Aerospace Center (DLR), and Cranfield University.
  • Supervision for the Best Thesis award — NLF National Aerospace Funds (2022).
  • Outstanding Contribution in Reviewing — Elsevier (2019).

Selected Articles

Videos

About me

I was born and raised in Thessaloniki, Greece, and over the last seventeen years I’ve lived in the UK, Belgium, France, and the Netherlands. Beyond aviation, I’m a lifelong photographer -darkroom to digital- drawn to landscapes, street scenes, aircraft, and the places I travel. Music is a constant companion; I’ve been collecting records and other physical formats for more than three decades. I now live in Amsterdam, where you’ll often find me building LEGO sets with my three children.

Contact & Collaboration

I am open to selected professional conversations and collaborations around aviation, aerospace, technology, applied research, technical publishing, lecturing, and mentoring.