Experience

Professional Experience

Research Scholar (2023-present)

• • Plasma Control Group, Princeton University, USA

Postdoctoral Researcher – Data Scientist (2015-2022)

• • IDLab, Ghent University-imec, Belgium

  • Co-supervisor (Ph.D. and Master’s students)

  • Senior researcher

  • Project leader

  • Business developer

  • Ph.D. researchers recruitment

  • Lab instructor

Scientific Researcher (2013-2015)

• • Department of Electronics and Information Systems

  • Ghent University-imec, Belgium

Instructor (2008-2009)

• • Department of Industrial Engineering

  • Tafresh University, Tafresh, Iran

Information Technology Manager (2003-2009)

• United Registrar of Systems (URS) – Iran branch

Volunteer Experience

• • Member of IEEE Task Force on Reservoir Computing

  • Member of the PhD examination committee: Dr. Dieter De Witte, 2018 (Ghent University)

  • President of the steering committee of Ghent University Postdoc Community

  • Officer for International Postdocs at Ghent University Postdoc Community

  • Reviewer of Nature Communications (IF: 12.121, Q1)

  • Reviewer of IEEE  Access (IF: 4.098, Q1)

  • Reviewer of IEEE Transactions on Geoscience and Remote Sensing (IF: 5.855, Q1)

  • Reviewer of Elsevier - Neurocomputing (IF: 4.072, Q1)

  • Reviewer of Elsevier - Computer Methods and Programs in Biomedicine (IF: 3.424, Q1)

  • Reviewer of MDPI - Remote Sensing (IF: 4.118, Q1)

  • Reviewer of MDPI - Entropy (2.419, Q2)

  • Organizing committee member of Special session “Machine Learning and Fusion” at IJCNN2023

  • Organizing committee member of Special session “Reservoir Computing: Advances in Models, Applications, and Implementations” at

IJCNN2021

• • Program committee member of International Conference on Machine Learning and Applications (ICMLA 2019)

  • Program committee member of International Workshop on Crowdsourced and Computational photography

(Co-)Supervised Dissertations

Ph.D. dissertations:

• P. Steiner: Exploring and application of reservoir computing on music signals (TU Dresden, successfully defended in December 2023)

• B. Vandersmissen: Development of radar and camera based smart applications using deep neural networks, (Ghent University, successfully defended in January 2020)

• D. A. Sala: Data-driven predictive maintenance, performance monitoring and fault prediction in steel production, (Ghent University, in progress)

• A. Singh: Search and synchronization of audio data (Ghent University, in progress)

Master's dissertations:

• R. Moortgat, Automatic Detection of Anomalies in DSL Testing using Machine Learning, (in progress)

• A. Rosseau, Predictive maintenance for fusion energy reactors through machine learning on hybrid data, (2018-2019)

• P. Engels, Real-time prediction of disruptive instabilities in nuclear fusion plasmas using deep learning, (2018-2019)

• V. Polfliet, Processing Radar and Camera Sequences for Person Identification Using a Structured Inference Network, (2017-2018)

• B. Verfaillie, Question Answering over Linked Data: A feasibility study, (2017-2018)

• J. Sarrazin, Detection of hand gestures in micro-Doppler radar data using deep learning techniques, (2017-2018)

• P. Gillis, Data-driven fouling detection of sea-going ships, (2016-2017)