Education:

École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Doctor of Philosophy in Machine Learning and Signal Processing (2023 - Present)
Advisor: Prof. Olga Fink

National Tsing Hua University, Hsinchu, Taiwan
Master of Science in Communications Engineering (2020 - 2022)
Advisor: Prof. Chong-Yung Chi

University of Guilan, Rasht, Iran
Bachelor of Science in Electrical Engineering (2015 - 2019)
Advisor: Prof. Gholamreza Baghersalimi

Research & Work Experience:

Doctoral Research Assistant
Intelligent Maintenance and Operations Systems (IMOS) Lab | EPFL, Lausanne, Switzerland
February 2023 - Present
• Focusing on physics-informed graph neural networks for fault detection and diagnosis, digital twin, and complex industrial assets.
• Proposing statistical and graph signal processing algorithms for the analysis of data which are collected from complex sensor networks.
• Detecting and correcting sensor drifts and multivariate time series anomalies.

Research Assistant
Wireless Communications & Signal Processing Lab (WCSP) | National Tsing Hua University, Hsinchu, Taiwan
September 2020 - December 2022
• Convex optimization problems
• Robust unsupervised learning
• Inverse problems in signal & image processing

Machine Learning Engineer Intern
PranaQ, Taipei City, Taiwan
May 2022 - August 2022
• Collecting data with a wearable device from fingers
• Developing photoplethysmogram (PPG) signal processing & feature extraction algorithms
• Building machine learning pipelines on Amazon Web Services (Amazon SageMaker)
• Running tests, performing statistical analysis, and interpreting test results

Mentor: Prof. Hau-Tieng Wu (Duke University)

Research Assistant
Optical Communications Research Group | University of Guilan, Rasht, Iran
February 2019 - August 2019
• Physical-layer signal processing techniques for optical wireless communications

Teaching Experience: