Introduce

Ali Forootani

IEEE Senior Member

ML/AI Researcher

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12+

Years of Experience

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

2015 - 2018

PH. D. Information Technology and Automatic Control

University of Sannio, Benevento, Italy.

2009 - 2011

M. Sc. Electrical Engineering and Automatic Control

Shaheed Beheshti University, Tehran, Iran.

2004 - 2008

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

Worked with many Institutions

my skills

Software Skills

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92%

Python

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95%

MATLAB & SIMULINK

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80%

Pytorch

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30%

React

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50%

WordPress

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100%

Latex

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90%

Numpy

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30%

Docker

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50%

Git&Github

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70%

Scipy

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70%

Microsoft Office

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50%

FastAPI

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50%

Pandas

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30%

Vue.js

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60%

Linux

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50%

Bash

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20%

Kubernetes

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60%

Circuit Maker

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30%

Easy Power

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50%

Power World

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60%

Scikit Learn

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40%

Tensor Flow

Languages

English: fluent  
Persian: mother tongue  
Italian: intermediate  
German: intermediate  
Arabic: ground knowledge  

contact

Let's Work Together!

aliforootani@ieee.org

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