About
About me:
I received the M.Sc. degree in electrical engineering and automatic control systems from the Power and Water University of Technology (Iran) in 2011, and the Ph.D. degree from the Department of Engineering, University of Sannio (Italy) in 2019. From 2011 to 2015 he worked both on research and industry at Niroo Research Institute (Iran) and at the Ministry of Energy and Power (Iran). From 2019 to 2024, I served as a Postdoctoral researcher at the University of Sannio, the University of Salerno, at Maynooth University (Ireland), and the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg (Germany). Since May 2024, I have been affiliated with the Helmholtz Center for Environmental Research-UFZ in Leipzig (Germany). My current research interests include Markov decision processes, approximate dynamic programming, reinforcement learning in optimal control, network control systems, Physics Informed Neural Networks (PINNs), Nonlinear PDE/ODE system identification and parameter estimation, Large Language Models. Moreover, I am a Senior Member of IEEE Control System Society.
Education
Education
PH. D. Information Technology and Automatic Control
University of Sannio, Benevento, Italy.
M. Sc. Electrical Engineering and Automatic Control
Shaheed Beheshti University, Tehran, Iran.
B. Sc. Electrical Engineering
Azad University, Dezfool, Iran.
Work Experience
Work Experience
Postdoctoral Researcher and Machine Learning Scientist
Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany.
May. 2024, ...
Subjects:
(i) Man0EUvRE – ”Energy System Modelling for Transition to a net-Zero 2050 for EU via RE-
PowerEU”: Designing and applying state-of-the-art machine learning methods in BENOPTex by an-
alyzing satellite images and transforming; tailoring the results of optimization models into human lan-
guages (using large language models - LLM) for better communications with stakeholders; Connecting
the developed LLM model to the new interface of BENOPTex; Assisting in Man0EUvRE project to gen-
erate scenarios and use the information in a large language model; Organizing stakeholder meetings and
work packages in the Man0EUvRE project; managing the real worlds case studies.
(ii) Applying Artificial Intelligence and Machine Learning methods to the field of renewable energies, in
particular monitoring/modeling the expansion of renewable energies.
(iii) Submitting project proposals in which AI/ML techniques are used in energy system optimization
models
Keywords: Machine Learning, Deep Learning, LLM, Image Processing, Renewable Energies.
Software: Developing Python packages for LLMs, Image Processing, Renewable Energies. Different libraries such as Pytorch, Numpy, Scikit-learn, Scipy, Matplotlib, Pandas, LangChain, etc.
Postdoctoral Researcher and Machine Learning Scientist
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
May. 2022 - Apr. 2024
- Subject: Non-linear System Identification of Dynamical Systems, ODEs, and PDEs.
- Keywords: Machine Learning, Deep Learning, ODE, PDE, Sparse Regression, SINDy algorithm.
- Software: Developing Python packages for sparse regression and non-linear PDEs. Different libraries such as Pytorch, Numpy, Scikit-learn, Scipy, Matplotlib, Pandas, etc.
AI Scientist and Software Developer
Swarm Logistics Technology Co., Stuttgart, Germany
Nov. 2021 - Jan. 2022
- Subject: Development of Fleet Control systems to fully automate the coordination & orchestration of heterogeneous fleets with trucks, cars, buses, autonomous vehicles, Automated Guided Vehicles & delivery robots in open environments.
Keywords: Machine Learning, Mathematical modeling of supervised and unsupervised classification and clustering, classification, Micro services, Software development.
Software: Developing Python platforms for Fleet Dynamic Control based on the geographical location of the fleets, and the time window of the delivery points.
Postdoctoral Researcher
Hamilton Institute, University of Maynooth, Maynooth, Ireland.
Feb. 2020 - Jan. 2022
- Subject: Network Control System and Signal Processing, Machine Learning, Reinforcement Learning, Deep Learning, and Approximate Dynamic Programming based approaches for sensor scheduling in Network Control Systems.
- Keywords : Machine Learning, Reinforcement Learning, Deep Learning, and Approximate Dynamic Programming, sensor Scheduling, Kalman Filtering.
- Software : Developing Python and MATLAB platforms for Fleet Dynamic Control, Multi-agent Systems, Reinforcement Learning, Markov Decision Processes, Dynamic Programming, Approximate Dynamic Programming, Machine Learning Approximate Dynamic Programming, Model Predictive Approximate Dynamic Programming.
Postdoctoral Researcher
University of Salerno, Salerno, Italy
Jun. 2019 - Jan. 2020
- Subject: Disease network analysis, Multi-layer networks, graph theory, modularity detection algorithms, graph partitioning.
Researcher
Measurement and Instrumentation Laboratory, University of Sannio, Benevento, Italy.
Dec. 2018 - Apr. 2019
- Subject: Image Processing with Intel Drone Real Sense Camera.
Electrical Engineering & Instrumentation
Ministry of Power and Energy, Water and Sewage Khuzestan engineering Co., Ahwaz, Iran.
Feb. 2013 - Aug. 2015
- Subject: Water treatment plant, Maintenance of Motors, Pumps, Electrical drives, Electrical command circuits, Pressure sensors, Level sensors, etc.
Maintenance Engineer
China National Logging Corporation, Ahwaz, Iran.
Aug. 2012 - Jan. 2013
- Subject: Maintenance of Wire Line tools which acquiring data from oil well.
Project Engineer
Niroo Research Institute, Dep. of Electronic and Control system engineering, Tehran, Iran, Part-time.
Jan. 2011 - Aug. 2012
- Subject: (i) Simulation and research development on wind turbine control system; (ii) Simulation and research development on monitoring of High Voltage Circuit Breaker.
Project Engineer
Niroo Research Institute, Dep. of Electronic and Control system engineering, Tehran, Iran, Part-time.
Jan. 2011 - Aug. 2012
- Subject: (i) Simulation and research development on wind turbine control system; (ii) Simulation and research development on monitoring of High Voltage Circuit Breaker.
testimonial
Trusted by
Peter Benner
Group Leader and Professor Max Planck Institute for Dynamics of Complex Technical Systems
Subhrakanti Dey
Professor Department of Electrical Engineering Uppsala University
Raffaele Iervolino
Professor University of Naples Federico II
Luigi Glielmo
Professor University of Naples Federico II
Pasquale Daponte
Professor University of Sannio
Massimo Tipaldi
Senior Researcher Polytechnic University of Bari
Worked with many Institutions
my skills
Software Skills
92%
Python
95%
MATLAB & SIMULINK
80%
Pytorch
30%
React
50%
WordPress
100%
Latex
90%
Numpy
30%
Docker
50%
Git&Github
70%
Scipy
70%
Microsoft Office
50%
FastAPI
50%
Pandas
30%
Vue.js
60%
Linux
50%
Bash
20%
Kubernetes
60%
Circuit Maker
30%
Easy Power
50%
Power World
60%
Scikit Learn
40%
Tensor Flow
Languages
English: fluent
Persian: mother tongue
Italian: intermediate
German: intermediate
Arabic: ground knowledge
contact
Let's Work Together!
aliforootani@ieee.org
* Marked fields are required to fill.