Education

• PhD. in Computer Science & Engineering, University of Nevada Reno, 2024 (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

• 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.
  • Codes: Swin-FSR

• 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 attack.
  • Tools: Tensorflow-keras, NumPy, Keras, OpenCV.
  • Codes: ECG-Adv-GAN, ECG-ATK-GAN

• Concussion Detection using Virtual Reality

  • Collaborating with Neuromechanics Lab to develop a system using Virtual Reality that can detect concussions.
  • Tools: Tensorflow-keras, Numpy, Pandas.

• 2D and 3D Medical Image Segmentation

  • Developed a novel Swin-Transformer-based architecture for benign and malignant breast micro-mass segmentation from MRI and Ultrasound images, achieving 3-4% improvement over the current state-of-the-art. Also, developed an attention-based Swin-Transformer with feature-similarity loss for 3D OCT fluid segmentation.

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.

Academic Services

• Graduate Mentor

  • US Army Educational Outreach Program, Summer'21, Summer'23.

• Teaching Assistant

  • CS791: Mass Detection in Mammograms, Spring'22
  • Course: CS 302- Data Structure, Fall'22
  • Course: CPE 201- Digital Design, Spring'21'23, Fall'21

• Instructor: GRAD -778

  • Documentation and Communication (Overleaf)
  • Source Version Control and Visualization
  • Classification with Deep Architectures
  • Segmentation with Deep Architectures