Mahdi Khoramshahi

Associate Professor

Curriculum vitae

My CV can be viewed here in PDF format.


Education:

  • PhD in Robotics and Intelligent Systems
    École Polytechnique Fédérale de Lausanne, Institute of Microengineering
    Lausanne, Switzerland. [Sept. 2014 – Feb. 2019]
    PhD thesis: From human-intention recognition to compliant-motion control using dynamical systems in physical human-robot interaction. [Defended on Feb. 15th, 2019]
    Supervisor: Prof. Aude Billard
  • M.S. in Electrical Engineering (Control Systems)
    University of Tehran, Department of Electrical and Computer Engineering
    Tehran, Iran. [Sept. 2009 – Nov. 2012]
    Master thesis: A Study on effects of flexible Spine on stability and energy consumption of a quadruped robot.
    Supervisor: Prof. Majid Nili Ahmadabadi
  • B.S. in Electrical Engineering (Control Systems)
    Sharif University of Technology, Department of Electrical Engineering
    Tehran, Iran. [Sept. 2004 – Sept. 2009]

Academic Positions & Employment History:

  • Post-doctoral Researcher
    Institute of Intelligent Systems and Robotics (ISIR), Sorbonne Université
    Paris, France [May. 2020 – Oct. 2021]
    Supervisors: Prof. Nathanael Jarrassé and Prof. Guillaume Morel
  • Post-doctoral Researcher
    Learning Algorithms and Systems Laboratory, École Polytechnique Fédérale de Lausanne
    Lausanne, Switzerland [Feb. 2019 –Mar. 2020]
    Supervisors: Prof. Aude Billard
  • Internship in Robotics
    Learning Algorithms and Systems Laboratory, École Polytechnique Fédérale de Lausanne
    Lausanne, Switzerland [Apr. 2014 – Sept. 2014]
    Supervisors: Prof. Aude Billard
  • Research Assistant
    Cognitive Robotics Laboratory, University of Tehran
    Tehran, Iran [Sept. 2013 – Apr. 2014]
    Supervisor: Prof. Majid Nili Ahmadabadi
  • Internship in Robotics
    NanoRobotics Laboratory, Carnegie Mellon University
    Pittsburg, USA [Nov. 2012 – May. 2013]
    Supervisor: Prof. Metin Sitti
  • Internship in Robotics
    Biorobotics Laboratory (BioRob),École Polytechnique Fédérale de Lausanne (EPFL)
    Lausanne, Switzerland [Oct. 2011 – Nov. 2012]
    Supervisor: Prof. Auke Ijspeert

Awards:

  • Early Post-doc Mobility fellowship, The Swiss National Science Foundation (SNSF).
    [May. 2019 – Nov. 2020]
  • Nomination for EPFL PhD thesis distinction, EPFL EDRS program (Robotics, Control and Intelligent Systems)
    [Nov. 2018]
  • PhD thesis nomination for Prix de Lausanne, EPFL.
    [Nov. 2018]
  • Étoiles de l’Europe (Open Science), French Ministry of Higher Education and Research, Awarded for the AlterEgo project (European project FP7-ICT-600610).
    [Dec. 2017]

Contributions To The Scientific Community:

  • Associate Editor, Robotics and Automation Letters, Area of autonomy for mobility and manipulation.
    [Sep. 2019 – Present]
  • Associate Editor, IEEE-RAS International Conference on Humanoid Robots.
    [2019]
  • Reviewer, Actively providing reviews for IEEE conferences and journals. AIM 2015, IROS 2015, AIM 2016, IROS 2018, ICRA 2019, RSS 2019, RO-MAN 2019, IROS 2019, ICRA 2020, IROS 2020, IEEE-TRO, IEEE-RAL.
    [2015 – Present]

Skills and Qualifications:

  • Automation and control
    Expert with several years of experience in designing controllers and algorithms with application in robotics including linear, nonlinear, adaptive, optimal control methods, and stochastic and dynamical systems.
  • Machine Learning
    Experience in Reinforcement Learning (Q-learning, Policy Improvement, etc.), dimension reduction (PCA, LDA, etc.), regression (GMR, SVR, GP, etc. ), clustering (GMM, K-means, etc.), classification (Linear models, SVM, Neural Networks, Nearest Neighbor).
  • Signal Processing
    Experience with time-series, filtering, and forecasting with applications in robotic and control systems.
  • Statistical analysis
    Experience with design of experiments, hypothesis testing, and performing statistical analysis using parametric and non-parametric models.
  • Programming languages, Operating Systems
    C/C++ software development (with focus on control architectures for real-time robotic applications), Matlab and Python (as primary language for scientific computing, machine learning, and control systems design), R/Stata (with focus on statistical inferences), Javascript/CSS/HTML (with beginner knowledge on web/app design) Ubuntu/Linux, Windows.
  • Tools
    Latex (long experience with scientific typesetting), Microsoft office, Adobe Photoshop and Premiere (intermediate knowledge on image and video editing), Git, SVN.
  • Languages
    English (proficient), Farsi (Mother tongue), French (B1)
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