About
About me:
I am a Machine Learning Scientist at Max Planck Institute for Dynamics of Technical complex Systems, Magdeburg, Germany. My Area of expertise are Machine Learning, Sparse Identification of Non linear Dynamical Systems, Physique Informed Neural Network, Stochastic Dynamic Programming, Deep Reinforcement Learning, Markov Decision Processes, Approximate Dynamic Programming, Reinforcement Learning, Multi-layer Networks, Graph Mining, Compressive Sampling, Network Control System, Wind Turbine Control Systems, even though not limited to the mentioned subjects. I have been developing MATLAB, and Python platforms based on my PhD thesis and Postdoc projectsfor the Markov Decision Processes(MDP), Approximate Dynamic Programming, Model Predictive Control MDP, and Reinforcement Learning problems since 2015. Moreover, on my recent role at Max Planck Institute I am developing Python package for Physique Informed Neural Network and Sparse Identification of Nonlinear Dynamical System (ODEs and PDEs). I have more than 3 years of industrial experience in the field of control and instrumentation. Moreover, I have been active in research since 2011 at various places such as Niroo Research Institute(Iran), University of Sannio (Italy), University of Salerno (Italy), Maynooth University (Ireland), max Planck Institute (Germany).
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
Machine Learning Scientist
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
May. 2022 - · · ·
- 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
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.
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.