Dr. Deepak Ingole is a postdoctoral researcher at KU Leuven, Belgium. He is a member of Thermal Systems Simulation (The SySi) research group. From 2017 – 2020, he was a postdoctoral researcher in the MAGnUM project of the European Research Council (ERC) at IFSTTAR/ ENTPE/ University of Lyon. In 2017, he was awarded PhD degree in Process Control engineering and at the same time, he was working as a Marie Curie early stage researcher in TEMPO project of the European Union’s FP-7 program at Slovak Technical University in Bratislava, Slovakia. Before moving to Slovakia he was a Project Engineer for 2 years in Virtual Labs project at College of Engineering Pune, India. He received Master of Technology (M.Tech) degree in Instrumentation and Control Engineering with specialization in Process Control from College of Engineering Pune, India in 2012 and Bachelor of Engineering (B.E.) degree in Instrumentation and Control Engineering from the University of Pune, India in 2010.
In 2016, he was a visiting researcher with the Control Group at University of Oxford, and in 2017 he was a visiting researcher with the Power and Control Group at Imperial College London. His research interests include
- Machine learning-based Model Predictive Control (MPC)
- Embedded MPC
- Predictive Control of power-to-X systems
- Unum-based explicit MPC – MATLAB Code
- Posit-based MPC
- Process control
- Embedded systems
Recently, in 2019 (September) he with his co-authors received an Intelligent Transportation System (ITS), Bavaria, Germany Best Paper Award in a conference mobil.TUM2019. In 2014, he was awarded by the Marie Curie Actions fellowship for 3 years under TEMPO project of European Union’s FP-7 program and the best paper award at 3rd international Conference on Control, Communication and Power Engineering (CCPE-2012), Springer, Bangalore, India in 2012. He served as a technical reviewer of several peer-reviewed journals and conferences.
Deepak Ingole 