Lingkang Jin, Ph.D.

Energy Systems Researcher | Optimization modeler | Data Scientist
Lingkang is a Postdoctoral Researcher in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), The Netherlands.

His research focuses on developing multi-physics asset integration and energy systems modeling through mathematical programming with support of AI and Machine Learning tools to reduce computational burdens and enhance scenario generation.

News and updates 📈

2026
  • New 09 October: ORKEST Demo event for the Q3 2026 for the ORKEST results dissemination, Stedin Utrecht office
  • 02–04 September: Speaker at the Nordic energy Informatic conference 2026, Reykjavik, Iceland
  • 03 July: ORKEST Demo event for the Q2 2026 in Stedin Utrecht office for the ORKEST results dissemination
  • 15 June: 3 minutes Pitch as finalist for the best paper award from Postdoc Association TU/e
  • 10 June: Presenter at the Eurotech stand (18) at the EUSEW energy fair 2026
  • 22 May: Invited presentation on surrogate modeling in power systems, at IE&Information Systems, invited by Dr. Laurens Bliek
  • 26 Apr–10 May: Eurotech visiting in DTU Wind and Energy Systems, Denmark hosted by Dr. Haris Ziras
  • 01 April: Joined Horizon Europe Erasmus Project-SG: SKILL as TU/e representative and involved in WP2 and WP3
2025
  • 15 June: Joined the ORKEST project as R4 leader
Show older news and updates...
2024
2023
  • March–May: Visiting PhD at Eindhoven University of Technology EES group under supervision of Dr. Christina Papadimitriou
2022
2020
  • October: Started PhD in industrial engineering with specialization in energy systems, at Università Politecnica delle Marche under supervision of Prof. Gabriele Comodi

Research Framework 🧩

Components

Electrolyzer Electrolyzer
(Power to H2)
Battery Li-ion Battery
Transformer Power transformer
Cables Cables
... etc.

Physic-based layer

Electrical Electrical
Chemical Chemical
Thermal Thermal
... etc.

System decisions/policy

Hub Scheduling Multi Energy Hub
scheduling
... etc.

AI-support layer

Speed up Computational
speed up
Forecast Forecast and
scenarios generation
... etc.

ML/AI tools

Neural Network Neural Network applied to
optimization models
GNN Multi-layers Graph
Neural Network
... etc.
Multi-physic AI supported System Level Energy System Modeling

Selected Open Access Papers