Education

• PhD. in Computer Science & Engineering, University of Nevada Reno, May,2025 (expected)
• M.S. in Computer Science & Engineering, University of Nevada Reno, 2022
• M.S. in Data Science, Deakin University, 2020
• Bsc. in Computer Science & Engineering, BRAC University, 2017

Work Experience

Graduate Research Assistant - Prof. Alireza Tavakkoli

University of Nevada, Reno (Reno, NV)
January 2021 - Present

• 2D and 3D Multi-Modal Medical Image:
  Working on Vision Transformers and Knowledge-Distillation projects for multi-modal medical image learning. Developed a pioneering Swin-Transformer-based architecture for segmenting benign and malignant breast micro-masses from MRI and Ultrasound images, achieving a 3-4% improvement over existing state-of-the-art methods.
  Funded by the National Science Foundation under Grant No. OIA-2148788 and OAC-2201599.
  Tools: PyTorch, Pandas, NumPy, Monai, OpenCV
  Codes: Swin-FSR

• Space-associated Neuroocular Syndrome (SANS):
  Developed a Super-resolution Transformer-based model for identifying SANS degenerative disease in astronauts.
  Funded by NASA Grant No. 80NSSC20K1831.
  Tools: PyTorch, Pandas, NumPy, Monai, OpenCV

• Adversarial Attack Detection and Mitigation:
  Developed two novel generative adversarial networks for adversarial attack detection in ECG. Also, developed a Game theoretical strategy, implemented with a convolutional neural network to mitigate adversarial attacks.
  Tools: Tensorflow-keras, NumPy, Keras, OpenCV
  Codes: ECG-Adv-GAN, ECG-ATK-GAN

• Concussion Detection using Virtual Reality:
  Collaborating with the Neuromechanics Lab to develop a Virtual Reality system to detect concussions.
  Tools: Tensorflow-keras, NumPy, Pandas

Artificial Intelligence/Machine Learning Engineer Intern

Ford Motor Company (Melbourne, Australia)
Aug 2020 - Oct 2022

• Hierarchical Graphical Network

  • Worked as a Team Lead (interns) to create a hierarchical Graphical Network of organization members using Graphical Neural Network.
  • Tools: Tensorflow, Pandas, Matplotlib, NumPy.

• Visualization of analysis

  • Implemented "Streamlit" for the dynamic visualization of the Machine Learning Model and the Graphical Network.
  • Tools: Tensorflow, Pandas, Matplotlib, NumPy.

• Research in "Oracle Digital Assistance"

  • Created a report on "Oracle Digital Assistance" to create an Economic and Organizational suitability report emphasizing the Policy Maker and Technical perspective.

Software Engineer Intern

Kyoto Engineering and Automation Ltd.
Oct 2017 - Dec 2017

• Organizational Software

  • Built and worked on 2 Software (Private).
  • Tools: Platform: .NET; Language: C#.

• Microsoft SQL Server

  • Designed and implemented in the Company's Software (Private).
  • Tools: MySQL.

Honors and Awards

• Awarded with Doctoral Research in Innovation, Vision and Excellence (Nevada Drive Scholar) for 2023-2024.
• CSE graduate student out of 4,000+ students to receive UNR Graduate Dean's Merit Scholarship for 2021-2022.
• Received Outstanding International Graduate Student Award for Spring'22 and Fall'22 by University of Nevada, Reno.
• Received Institutional Methodology Grant in January 2021 and 2022.