Milad Soltany

soltany.m.99@gmail.com

I'm an AI enthusiast with demonstrated skills in Research, Computer Vision, and Deep Learning. My area of interest includes Deep Learning, Machine Learning, and Autonomous Vehicles. I am most fascinated by generative models.

Education

Iran University of Science and Technology

Bachelor of Science
Electrical Engineering - Control Engineering

GPA: 3.67/4.0

Thesis: Design, Simulation, And Construction of An Autonomous Vehicle with Environment Perception, Planning, and Control Capabilities (Mark: 20/20)

September 2016 - Present

Farabi High School

Mathematics and Physics

GPA: 4.0/4.0

August 2013 - June 2017

Publications

1. ENSEMBLE NEURAL REPRESENTATION NETWORKS

Authors: Milad Soltany Kadarvish, Hesam Mojtahedi, Hossein Entezari Zarch, Amirhossein Kazerouni,
   Alireza Morsali, Azra Abtahi, Farokh Marvasti

  • Manuscript submitted for publication
  • arXiv: Link
  • Github: Link

Abstract: Implicit Neural Representation (INR) has recently attracted considerable attention for storing various types of signals in continuous forms. The existing INR networks require lengthy training processes and high-performance computational resources. In this paper, we propose a novel sub-optimal ensemble architecture for INR that resolves the aforementioned problems. In this architecture, the representation task is divided into several sub-tasks done by independent sub-networks. We show that the performance of the proposed ensemble INR architecture may decrease if the dimensions of sub-networks increase. Hence, it is vital to suggest an optimization algorithm to find the sub-optimal structure of the ensemble network, which is done in this paper. According to the simulation results, the proposed architecture not only has significantly fewer floating-point operations (FLOPs) and less training time, but it also has better performance in terms of Peak Signal to Noise Ratio (PSNR) compared to those of its counterparts.

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Experience

Machine learning and Computer Vision Researcher

DGSculptor

I conduct research on machine learning, especially on computer vision. We are working on signal representation using machine learning (Implicit Neural Representation). Currently, I'm working on the Super-Resolution task using hyper networks.

February 2021 - Present

Co-founder and Instructor

AIR (Artificial Intelligence and Robotics) Center

I teach and mentor students about programming and Artificial Intelligence. AIR Center is a non-profit and student-based organization inside the Iran University of Technology
The courses we teach include:

  • Deep Learning
  • Machine Learning
  • Python Programming
You can check our courses on our LinkedIn page.

July 2020 - Present

Research Assistant

AI and Control Lab, Iran University of Science and Technology

Under the supervision of Professor Shamaghdari, I worked on multiple projects related to Computer Vision. Our work mainly consisted of optimization and 3D vision.
Some of our projects:

  • Vehicle Load Detection
  • Denoising Zed2 Camera Point-Clouds

June 2020 - November 2020

Skills

I have more than 3 years of experience with python programming language and various libraries required for Machine Learning tasks including NPM and my favorite library, PyTorch. Some of the libraries are listed below.

Programming Languages & Tools
Programming Langauges:
  • Python: Expert
  • Matlab: Proficient
  • C/C++: Intermediate

    • Libraries required for machine learning:
    • Pytorch
    • Tensorflow
    • NPM (Numpy, Pandas, Matplotlib)
    • openCV
    • Scikit Learn
    Other Skills:
    • Git
    • Linux
    • Latex
    • Codevision AVR

    Awards & Certifications

    Awards

    • Ranked 2nd Team in FIRA Competitions in Autonomous Cars League (Race Section)
    • Ranked 3nd Team in FIRA Competitions in Autonomous Cars League (Urban Section)
    • Ranked 1st Team in the National Rahneshan Competitions for Autonomous Vehicles
    • Ranked 2nd Team Among More than 140 Teams in National Data-Days Competitions
    • Ranked 68th (99th percentile) in National University Entrance Exam for Mathematics and Physics Summer
    • Ranked 28th (99th percentile) in National University Entrance Exam for Foreign Languages
    • Top Student for 6 Consecutive Semesters at the ILI (Iran Languages Institute)


    Certificates

    • IELTS band score: 8 (L:8.5, R:8.5, W:7.5, S:8)
    • Rahneshan competitions certificate from the National Elites Foundation
    • Convolutional Neural Networks, Coursera
    • Structuring Machine Learning Projects, Coursera
    • Sequence Models, Coursera
    • Neural Networks and Deep Learning, Coursera
    • Python Zero to Hero Bootcamp, Udemy
    • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Coursera

    Major Projects

    Biography

    I was born in Boukan city, Iran, in 1999. Ever since I can remember, I've been in love with tech, gadgets, computers. I entered university back in 2017, majoring in Electrical Engineering. I fell in love with AI, and ever since, I've been taking part in competitions, doing projects, teaching, and loving this field.



    Interests

    I enjoy learning about new stuff. I'm also a huge fan of Friends and am a Marvel enthusiast.