About me

I'm a PhD student who loves working on machine learning applications. Right now, I am working on Multi-view 3D Human Pose Estimation.

My main professional interests include:

  • Deep Learning
  • Computer Vision
  • Programming and Software Automation
  • 3D Pose Estimation

Open Source Projects

OpenMPL - An open-source easy-to-use framework for multi-view 3D human pose estimation.
TrackLab - An open-source easy-to-use modular framework for multi-object pose/segmentation/bbox tracking that supports many tracking datasets and evaluation metrics.
sn-gamestate - An end-to-end athlete tracking and identification framework that takes as input raw broadcasting videos and outputs positions of athletes on a Minimap.
DeepSportLab - An open-source project performing human pose estimation, segmentation, and ball detection for sports scenes utilizing a single backbone.

Experiences

PhD Candidate

2020 - Present
UCLouvain, Louvain-la-Neuve, Belgium
  • Working on Multi-view 3D Human Pose Estimation.
  • Leading researcher for DeepSportLab project on combining 2D Human Pose Estimation and Segmentation resulting in a publication to BMVC 2021.
  • Granted FRIA scholorship by FNRS.

Advisor: Prof. Christophe De Vleeschouwer

I was one of the lead researchers working on the Game State Reconstruction task. This task was about recovering the position of every person involved in the game on the pitch,
CVSports SoccerNet Challenge

Visiting PhD at EPFL

2023
Lausanne, Switzerland

I stayed at École Polytechnique Fédérale de Lausanne (EPFL) as a visiting PhD for three months from July to September. My international stay at the VITA lab was marked by one-on-one meetings with Prof. Alahi, active participation in group meetings, and collaborations with diverse lab members

Advisor: Prof. Alexandre Alahi

Participating in TRAIL Workshop

2023
Nantes, France

A 10-day workshop connecting AI research labs of Belgium held in Nantes, France. I was part of a team working on capturing accurate avatars from a VR motion signals

Leader of DeepSportLab Project

2021

Working with 4 other colleagues on a framework performing human pose estimation, segmentation, and ball detection for sports scenes utilizing a single backbone. Published in BMVC 2021.

Motion Information Extraction from Monocular Videos

2020 - 2024

I was part of an interdisciplinary project joint with the NeuroScience department at UCLouvain working on the extraction of vestibular patients’ movement information. This included timing prediction and step counting based on 2D human poses from monocular videos of the patients in hospitals.

Teaching Machine Learning

2020 - 2021

I was one of the Teaching Assistants for the graduate course of Machine Learning at UCLouvain for two consecuative years.

Master Thesis

2017 - 2019
University of Tehran, Tehran, Iran

Used approximate computing to improve the efficiency of LSTM recurrent neural networks.

Part-Time Electronics Engineer at Adeeco

2016 - 2017
Isfahan, Iran

Design and implementation of a flame ionization detector (FID) and power supply circuit.

Bachelor Project

2017
Isfahan University of Technology, Isfahan, Iran

Design and implementation of a Wi-Fi connected smart LED lamp controllable with an Android application.

Skills

Programming:

Python

PyTorch

Numpy

Pandas

OpenCV

C & C++

cuda

FFmpeg

Java

C#

SQL

Matlab

HTML

CSS

Android

Tensorflow

Verilog

VHDL

OS:

Mac OS

Linux

Windows

Tools:

git

wandb

AWS

VSCode

PyCharm

Tensorboard

Latex

conda

Confluence

slurm

Docker

SSH