Biography

Fiaz is a hardworking and ambitious individual with extensive experience in software development, system design, and applied machine learning. His aptitude to effectively communicate, and his unwavering technical curiosity allows him to excel in working with cross-functional teams in high-paced development environments. He is experienced in working with teams across the globe to develop & deploy production software. He has worked on industry’s leading hands-free autonomous driving technologies like SuperCruise and UltraCruise.

Fiaz’s academic, research, and industry experiences lies in Deep Learning, Computer Vision, Medical Imaging, IoT, Controls Systems, and full-stack software development. He has published his research paper on computer aided diagnostics in the SPIE International Journal for Medical Imaging.

Alongside his technical endeavours, Fiaz is passionate about leadership and community service. He was IEEE UTD President for 2 terms, spearheading a team of 50 officers and over 1200 members. He was also the regional student representative for IEEE Region 5 which included 12 Southwestern states in the US.

News

Interests

  • Artificial Intelligence
  • Computer Vision
  • IoT
  • Hardware and Software Automation

Education

  • B.S. Computer Engineering, 2021

    The University of Texas at Dallas

  • International A-Levels, 2016

    Bangladesh International School & College

Recent Publications

Image guided mitral valve replacement: registration of 3D ultrasound and 2D x-ray images

Mitral valve repair or replacement is important in the treatment of mitral regurgitation. For valve replacement, a transcatheter …

Experience

 
 
 
 
 

AI/ML Software Engineer - Autonomous Driving

General Motors

Jun 2021 – Present Texas

Responsibilities include:

  • Develope Mapping Software for UltraCruise - Industry’s first hands-free end-to-end autonomous driving feature.
  • Design and develop efficient algorithms in Python for UltraCruise, an end-to-end autonomous driving system
  • Work with AI/ML scientists to implement the ML models in code and integrate them into the pipeline
  • Use Docker images and Kubernetes for the runtime environment of the CI/CD system to build, test, and deploy
  • Optimize algorithmic performance and reduce feature runtime by several order of magnitudes using vectorized routines in python
  • Design features that can work seamlessly at ultra-large scale.
 
 
 
 
 

Undergraduate Research Assistant

Quantitative BioImaging Lab at UT Dallas

Mar 2019 – Present Texas

Responsibilities include:

  • Develop custom software to automate data collection using cross-platform APIs
  • Synthesize multimodal imagery to create coherent pictures guiding clinical decision making and interventions
  • Use Deep Learning to process medical images
 
 
 
 
 

Visiting Research Intern

Biomedical Physics Department, The University of Dhaka

Jun 2018 – Aug 2018 Bangladesh

Responsibilities include:

  • Develop the hardware and software for a telemedicine web-server
 
 
 
 
 

Embedded Systems Engineering Intern

Locomotor Control Systems Laboratory at UT Dallas

Mar 2018 – Mar 2019 Texas

Responsibilities include:

  • Develop efficient software for the real-time processing of the embedded systems used in prostheses and exoskeletons
  • Test and debug existing code to integrate new functionalities like wireless control protocols

Projects

All Things are Difficult Before They Are Easy - Thomas Fuller

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CometBot - Autonomous Robot

Built a completely autonomous robot for the IEEE Region 5 Robotics Competition. Developed the navigation system for the robot using ultrasound sensors and computer vision.

Control Module for an Exoskeleton

Developed a GUI based control module that will allow the user to easily interact with the Exoskeleton.

Image-guided Intravascular Robotic System

A system that allowed real-time tracking of a catheter inside the heart for replacing the Mitral Valve. We implemented routines for 3D reconstructions, image registration and catheter segmentation using deep learning.

IoT Based Telemedicine Web Server

A web server that displayed real-time diagnostic data received from the various sensors using WebSocket, and relayed the data to a cloud server for remote access.

Acheivements

Outstanding Student Member Award - IEEE Region 5

MD Fiaz Islam Bhuiyan has been selected to receive the IEEE Region 5 Outstanding Student Member Award for his exceptional contributions of time and effort to the Student Branch, the Section, the Region, and the National IEEE to advance the principals of IEEE. Fiaz has demonstrated a high caliber not only through his contributions to the community but also in maintaining a strong academic standing and dedicated research work.

Undergraduate Research Scholar Award

Fiaz has been awarded the Undergraduate Research Scholar Award for his extraordinary contributions to research under the supervision of Prof. Baowei Fei. This award comes with a research stipend for the student and the supervisor.

School of Engineering Dean’s List

Fiaz has been ranked in the top 10% of his class for five semesters out of six at The University of Texas at Dallas.

Academic Excellence Scholarship

This scholarship provides complete coverage of tuition and mandatory fees for four years of undergraduate education. It also porvides a stipend per semester to defray the costs of books, supplies and other expenses.

World Highest Score in IGCSE Biology

Fiaz attained the highest score in International General Certificate of Secondary Education (IGCSE) Biology, it is a global examination taken by thousands of students in the United Kingdom and across the globe.

Recent & Upcoming Talks

Skills

Coding

Circuit Design

Photography

Leadership

Research

Project Management

Robotics

Deep Learning

😄

Emojiness

My Photography

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Contact