Summary
Overview
Work History
Education
Skills
Websites
Participations
Google Scholar
Youtube
Research Interests
Activities
Other Contributions
Awards
Publications
Languages
Timeline
Generic
Masoud Jalayer

Masoud Jalayer

Edmonton,Canada

Summary

Passionate about enhancing AI interpretability and trustworthiness, specializing in simulation, AI-enhanced localization, and advanced diagnostics. Excels in integrating AI to improve systems and processes, including quality control and robot motion planning. Committed to making impactful innovations in collaborative environments.

Overview

4
4
years of professional experience

Work History

Visiting Professor

University of Alberta - Dept. Mechanical Engineering
02.2024 - Current
  • Generative AI-based Maintenance Scheduling
  • Uncertainty analysis for AI-based Fault Diagnosis

Assistant Professor of Informatics

Politecnico di Milano - School of Managemenet
03.2023 - Current
  • Teaching: Model Identification & Machine Learning (054062) - Machine Learning (058324) - Business Analytics and Big Data (at GSOM)
  • Research: Multimodal AI - XR - Condition Monitoring

Postdoctoral Fellow

Unilever Inc. | The University Of Victoria
07.2022 - 03.2023
  • AI-based Demand & Shipment Forecasting
  • MITACS postdoctoral fellowship

Postdoctoral Fellow

The University Of Victoria
07.2021 - 07.2022
  • Project 1: Intelligent Manufacturing Execution System Digital Twining - Adaptive Scheduling
  • Project 2: Intelligent Process Execution Systems (IPES): XAI - Fault Diagnosis

Visiting Researcher

École Polytechnique Fédérale De Lausanne (EPFL)
08.2020 - 01.2021
  • Fault Diagnosis of Rotating Machinery under Noisy Conditions" "PV energy generation forecasting with Satellite Images and All-Sky Camera" "Developing GANs solution for Automatic Visual Inspection of Rare Defects"

Management Information Systems Specialist

PetroGroup Co.
02.2017 - 10.2017
  • Developing multi-agent decision-support system to simulate operation and maintenance costs in Gas Refinery.

Teaching Assistant

Iran University of Science and Technology
02.2017 - 07.2017
  • Teaching System Dynamics at the dept. of Industrial Engineering

Education

Ph.D. - Industrial Engineering

Politecnico Di Milano
Milan, Italy
07.2021

Master of Science - Industrial Engineering

Iran University of Science & Technology
Tehran, Iran
09.2017

Bachelor of Science - Industrial Engineering

Shahid Beheshti University of Medical Sciences
Tehran, Iran
09.2013

Skills

  • Python
  • MATLAB
  • C#
  • Unity3D
  • PyTorch / TensorFlow / Keras
  • SHAP / Lime
  • OpenCV / PIL
  • NumPy / Scipy / Pandas
  • SKLearn
  • Unreal Engine
  • ML-Agents
  • NetworkX

Participations

  • FAIM 2023 - 32nd International Conference Flexible Automation and Intelligent Manufacturing, Porto, Portugal
  • IAICT 2021 - IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, Indonesia
  • IfI Doctoral Summer School on Machine Learning - University of Zurich, 2018
  • MDPI Machines - Guest Editor
  • ICML 2020 - 37th Int. Conference on Machine Learning, Vienna, Austria

Google Scholar

https://scholar.google.com/citations?user=kuWCM8AAAAAJ&hl=en

Youtube

https://www.youtube.com/watch?v=UL41FyEyrvMYoutube&feature=youtu.be

Research Interests

  • Human-Machine Interactions
  • Trustworthy AI
  • Explainable AI
  • Generative AI
  • GANs
  • Blockchain Ecosystem Design
  • Digital Twinning
  • Deep Reinforcement Learning
  • Path Planning
  • Inverse Reinforcement Learning
  • Extended Reality

Activities

  • Music Composition - Piano - Electric Guitar
  • Sound Design - Mix & Mastering
  • 3D Animation - Video Game Design

Other Contributions

  • Master's Thesis Tutorship: R. Falco, "A Deep Learning approach to 3D Cold Spray shape simulation and toolpath planning optimization", Politecnico di Milano; 2023
  • Master's Thesis Tutorship: N. Diale, "An Advanced Forecasting Model to Secure Integration of PV Panels in Smart-Grids", École polytechnique fédérale de Lausanne; 2020
  • Master's Thesis Tutorship: P. Cernuda González, "Fault diagnosis and detection for bearing using machine learning and deep learning," Universidad Politécnica de Madrid & Politecnico di Milano; 2019
  • Master's Thesis Tutorship: L. Busi & Y. Ramadan, "Big Data Analytics in Maritime," MIP - Politecnico di Milano; 2019
  • Master's Thesis Tutorship: A. Jalayer, "Designing a smart animal shelter," School of Architecture, Iran University of Science & Technology; 2020
  • Master's Thesis Tutorship: S. Skrunes & S. Tamayo, "Using machine learning to detect malaria infection in cell images," MIP - Politecnico di Milano; 2019
  • Master's Thesis Tutorship: S. Chauhan, "US census data demographics exploration and income prediction," MIP - Politecnico di Milano; 2019
  • Guest Associate Editor: Machines, MDPI
  • Guest Associate Editor: Automated Systems, Frontiers

Awards

  • Best Presentation - 32nd International Conference Flexible Automation and Intelligent Manufacturing, Portugal
  • 2nd Top Cited Paper - Computers in Industry
  • Mitacs Elevate Award - Mitacs Postdoctoral fellowship, Canada
  • 3-year PhD Scholarship - Politecnico di Milano
  • Ranked 1st (Highest GPA) among grad students, Iran University of Science & Technology

Publications

  • Journal Article, Synthesizing rolling bearing fault samples in new conditions: A framework based on a modified cgan, M. Ahang, M. Jalayer, A. Shojaeinasab, O. Ogunfowora, T. Charter, H. Najjaran, Sensors, 22, 14, xxx, 2022, 10.48550/arXiv.2206.12076
  • Journal Article, Unveiling the black box: A unified xai framework for signal-based deep learning models, A. Shojaeinasab, M. Jalayer, A. Baniasadi, H. Najjaran, Machines, 12, 2, 121, 2024, 10.3390/machines12020121
  • Journal Article, Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions, M. Khadivi, T. Charter, M. Yaghoubi, M. Jalayer, M. Ahang, A. Shojaeinasab, H. Najjaran, Available at SSRN 4319327, 10.2139/ssrn.4319327
  • Journal Article, Fault detection and diagnosis with imbalanced and noisy data: A hybrid framework for rotating machinery, M. Jalayer, A. Kaboli, C. Orsenigo, C. Vercellis, Machines, 10, 4, 237, 2022, 10.3390/machines10040237
  • Journal Article, Intelligent manufacturing execution systems: A systematic review, A. Shojaeenasab, T. Charter, M. Jalayer, M. Khadivi, M. Yaghoubi, H. Najjaran, Journal of Manufacturing Systems, 62, 503-522, 2022, 10.1016/j.jmsy.2022.01.004
  • Journal Article, Fault detection and diagnosis for rotating machinery: A model based on convolutional lstm, fast fourier and continuous wavelet transforms, M. Jalayer, C. Orsenigo, C. Vercellis, Computers in Industry, xxx, 125, 2021, 10.1016/j.compind.2020.103378
  • Journal Article, A hybrid algorithm based on community detection and multi attribute decision making for influence maximization, M. Jalayer, M. Azheian, M. Kermani, Computers & Industrial Engineering, 120, 234-250, 2018, 10.1016/j.cie.2018.04.049
  • Journal Article, Cov-abm: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of covid-19, M. Jalayer, C. Orsenigo, C. Vercellis, Expert Systems With Applications (Under Revision), 2021, 10.1016/j.compind.2020.103378
  • Journal Article, Opinion-aware influence maximization: How to maximize a favorite opinion in a social network?, M. Kermani, R. Ghesmati, M. Jalayer, Advances in Complex Systems, 21, 1 850 022, 2018, 10.1142/S0219525918500224
  • Conference Article, A model identification forensics approach for signal-based condition monitoring, M. Jalayer, A. Shojaeinasab, H. Najjaran, International Conference on Flexible Automation and Intelligent Manufacturing, Springer, 2023, 12-19, 10.1007/978-3-031-38165-2_2
  • Conference Article, A conceptual framework for localization of active sound sources in manufacturing environment based on artificial intelligence, R. Jalayer, M. Jalayer, C. Orsenigo, C. Vercellis, International Conference on Flexible Automation and Intelligent Manufacturing, Springer, 2023, 699-707, 10.1007/978-3-031-38241-3_78
  • Conference Article, Automatic visual inspection of rare defects: A framework based on gp-wgan and enhanced faster r-cnn, M. Jalayer, R. Jalayer, K. A, C. Orsenigo, C. Vercellis, The IEEE International Conference on Industry 4.0 Artificial Intelligence and Communications Technology (IAICT2021), IEEE, 2021, 10.1109/IAICT52856.2021.9532584
  • Conference Article, How to maximize a favorite opinion in social networks?, M. Kermani, M. Jalayer, Opinion Dynamics and Collective Decision 2017 (ODCD2017), Jacobs University of Bremen, 2017

Languages

English
Full Professional
Persian
Native or Bilingual
Arabic
Limited Working

Timeline

Visiting Professor

University of Alberta - Dept. Mechanical Engineering
02.2024 - Current

Assistant Professor of Informatics

Politecnico di Milano - School of Managemenet
03.2023 - Current

Postdoctoral Fellow

Unilever Inc. | The University Of Victoria
07.2022 - 03.2023

Postdoctoral Fellow

The University Of Victoria
07.2021 - 07.2022

Visiting Researcher

École Polytechnique Fédérale De Lausanne (EPFL)
08.2020 - 01.2021

Management Information Systems Specialist

PetroGroup Co.
02.2017 - 10.2017

Teaching Assistant

Iran University of Science and Technology
02.2017 - 07.2017

Ph.D. - Industrial Engineering

Politecnico Di Milano

Master of Science - Industrial Engineering

Iran University of Science & Technology

Bachelor of Science - Industrial Engineering

Shahid Beheshti University of Medical Sciences
Masoud Jalayer