CV

Contact

• Email: skolouri at hrl dot com (or) firstname dot lastname at gmail dot com
• Address: HRL Laboratories, LLC, 3011 Malibu Canyon Rd, Building 254, Room 3G12, Malibu, CA, 20265 USA
• Work: +1 (300) 317 5182

Work experience

• June 2016 - Present: Research Scientist
  • HRL Laboratories, Malibu, CA
  • Duties included:
    • PI on DARPA's Real-World Adversarial Attacks on AI (RWA3) seedling
    • PI on DARPA's Learning with Less Labels (LwLL) program
  • Co-PI on DARPA's Lifelong Learning Machines (L2M) program
    • Principal investigator and key member on several IR&D programs
• May 2015- May 2016: Postdoctoral Research Associate
  • Carnegie Mellon University, Pittsburgh, PA
  • Duties included:
    • teaching graduate level courses
    • transport-based pattern recognition
    • image modeling techniques for automated prognosis of histopathology and fMRI images
  • Supervisor: Gustavo K. Rohde
• Jan 2016 - May 2016: Lead Research Scientist
  • Smoke Detective (startup company), Pittsburgh, PA
  • Duties included:
    • Developing a lightweight CV algorithm for camera-based smoke detection (see it).

Education

• Ph.D in Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, 2015

  • Thesis: Transport-Based Pattern Recognition and Image Modeling
  • Committee: Gustavo K. Rohde (Advisor), Jelena Kovacevic, Robert F. Murphy, Dejan Slepcev, and Ryan Tibshirani
  • Research: Machine learning on biomedical data, nonlinear signal modeling
  • Notes: Completed my PhD degree in less than 3 years and received the best thesis award as well as the Bertucci fellowship award for outstanding graduate student

• M.S. in Electrical and Computer Engineering, Colorado State University, Fort Collins, CO, 2012

  • Thesis: Acoustic Tomography of the Atmosphere via Unscented Kalman Filter
  • Committee: Mahmood R. Azimi-Sadjadi (Advisor), Edwin K. P. Chong, and Dan Cooley
  • Research: Signal processing, tomography, state-space modeling

• B.S. in Electrical Engineering, Sharif University of Technology, Tehran, Iran, 2010

  • Thesis: Markov Random Fields in Image Processing
  • Committee: Emad Fatemizadeh (Undergraduate advisor)
  • Research: Signal and image processing

• June 2016 - Present: Research Scientist

  • HRL Laboratories, Malibu, CA
  • Duties included:
    • PI on DARPA's Real-World Adversarial Attacks on AI (RWA3) seedling
    • PI on DARPA's Learning with Less Labels (LwLL) program
  • Co-PI on DARPA's Lifelong Learning Machines (L2M) program
    • Principal investigator and key member on several IR&D programs

• May 2015- May 2016: Postdoctoral Research Associate

  • Carnegie Mellon University, Pittsburgh, PA
  • Duties included:
    • teaching graduate level courses
    • transport-based pattern recognition
    • image modeling techniques for automated prognosis of histopathology and fMRI images
  • Supervisor: Gustavo K. Rohde

• Jan 2016 - May 2016: Lead Research Scientist

  • Smoke Detective (startup company), Pittsburgh, PA
  • Duties included:
    • Developing a lightweight CV algorithm for camera-based smoke detection (see it).

Funding

• DARPA, Real-World Adversarial Attacks on AI (RWA3), September 2019 (PI)
• DARPA, Learning with Less Labels (LwLL), August 2019 (PI)
• DARPA, Lifelong Learning Machines (L2M), July 2018 (Co-PI)
• DARPA, Active Social Engineering Defense (ASED), Sep 2018 (Task lead)

Talks and Tutorials

• Optimal Transport for Signal and Image Analysis, April 2019
  • British Applied Mathematics Conference (BAMC)
• Sliced Wasserstein Auto-Encoders and Their Generalization, April 2019
  • University of Cambridge, Department of Applied Mathematics
• Generalized Sliced-Wasserstein Distances, February 2019
  • Carnegie Mellon University, ECE Graduate Seminar
• Sliced Wasserstein Autoencoders: from Generative Modeling to Transfer Learning, August 2018
  • Technical Seminar - HRL Laboratories
• Optimal transport in biomedical imaging, April 2018
  • IEEE International Symposium on Biomedical Imaging (ISBI)
• Multi-sensory transfer learning and domain Adaptation, March 2018
  • Office of Naval Research (ONR), AI Sprint Team
• Transport and other Lagrangian transforms, Sep 2016
  • IEEE International Conference on Image Processing (ICIP)
• Optimal Transport-Based Morphometry, Jan 2016
  • MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

Teaching

• BME 03-712: Computational Methods for Biological Modeling and Simulation, Spring 2015 & 2016
  • Co-instructing with Gustavo K. Rohde.
• BME 42-672: Fundamentals of Biomedical Imaging and Image Analysis, Fall 2015
  • Co-instructing with Gustavo K. Rohde.
• BME 03-712: Computational Methods for Biological Modeling and Simulation, Spring 2014
  • Teaching Assistant
• BME 42-672: Fundamentals of Biomedical Imaging and Image Analysis, Fall 2013 and 2014
  • Teaching Assistant

Service and leadership

• Co-Chair: (MLSP 2019) 2019 IEEE International Workshop on Machine Learning for Signal Processing
• Active reviewer:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
  • IEEE Transactions on Image Processing (TIP)
  • Pattern Recognition - The Journal of the Pattern Recognition Society
  • IEEE Signal Processing Letters (SPL)
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE International Conference on Robotics and Automation (ICRA)
  • International Conference on Computer Vision (ICCV)
  • AAAI Conference on Artificial Intelligence (AAAI)