Research

 

  • Princeton University, 2020- present
    Using Hidden Markov Model (HMM) and Bayesian state-space models to study animal decision-making task and analyze behavioral data
     
  • AbbVie Internship, Biopharmaceutical and Biotech Company, Chicago, IL, summer 2019
    - Working with experts in the field of medical devices and understanding various aspects of the field including engineering research and testing, human factors, quality and regulatory compliance
    - Analyzing data in various tools, scripting and macro building opportunity for automation, and electromechanical engineering testing.
    - Setting up and validating equipment for wireless communication testing (analyzers, data sniffers, EM chambers, etc. for Bluetooth, NFC, PCB design and similar technologies).
     
  • University of Colorado (CU), 2016 - 2020
    - Using machine learning and signal processing techniques for computational neuroscience
    - Employing KiloSort2 and MountainSort to analyze microelectrode array (MEA) recordings
    - Studying closed-loop stimulation for neurological disorders
    - Developing a Brain-machine interface based on a new spike sorting algorithm (EGNG)
     
  • University of Colorado Anschutz Medical Campus, 2017 – 2020
    - Large scale electrophysiology with Neuropixels probes
    - In vitro and in vivo studies/experiments
    - Medical imaging research project
     
  • Sapienza University of Rome and Northumbria University at Newcastle, 2015 - 2016
    Research Project: Visible light communication (VLC) systems
     
  • Ferdowsi University of Mashhad, 2012 - 2014
    Thesis: Design time-frequency equalizers in filter bank multicarrier communication systems
     
  • Iran University of Science and Technology, 2009 - 2010
    Thesis: Removing noise from medical images using wavelet transform on FPGA