Hello! I am Tahsin. I completed my Masters degree in the ECE department of University of Florida. I graduated in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET) in 2017. After graduation, I worked as Machine Learning Engineer in Semion Limited and AI Samurai, served as an RA in the MHealth Lab, Department of Biomedical Engineering, BUET and mentored several undergraduate students in their thesis and research works.
I am currently looking for job opportunities in the domain of AI.
University of Florida
Spring 2021 - Spring 2024
Bangladesh University of Engineering and Technology
2012 - 2017
Jessica Sena, Tahsin Mostafiz, Jiaqing Zhang, Andrea E Davidson, Sabyasachi Bandyopadhyay, Subhash Nerella, Yuanfang Ren, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Tyler Loftus, William Robson Schwartz, Azra Bihorac, Parisa Rashidi
Frontiers in Neurology
Md Mahfuz Al Hasan, Saba Ghazimoghadam, Padcha Tunlayadechanont, Tahsin Mostafiz, Manas Gupta, Antika Roy, Keith Peters, Bruno Hochhegger, Anthony Mancuso, Navid Asadizanjani, Reza Forghani
Journal of Digital Imaging
Jessica Sena, Sabyasachi Bandyopadhyay, Tahsin Mostafiz, Andrea Davidson, Ziyuan Guan, Jesimon Barreto, Tezcan Ozrazgat-Baslanti, Patrick Tighe, Azra Bihorac, William Robson Schwartz, Parisa Rashidi
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Jessica Sena, Tahsin Mostafiz, Jiaqing Zhang, Andrea Davidson, Sabyasachi Bandyopadhyay, Ren Yuanfang, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Tyler Loftus, William Robson Schwartz, Azra Bihorac, Parisa Rashidi
arXiv preprint
Tahsin Mostafiz, Dr. Khalid Ashraf
arXiv 1812.02305
Engineered a Dense Atrous Spatial Pyramid Pooling (DASPP) and Spatial Context Network with Reverse Axial Attention for detecting small objects in CT images.
Designed an acuity assessment pipeline with explainable AI to identify key features impacting the condition of ICU patients.
Utilized Faster R-CNN (ResNet50) and YOLOv4 for semi-supervised electric pole detection from dashboard camera footage.
Constructed a semi-supervised CNN model for detecting abnormalities in images of dairy products.
Developed a Class Activation Mapping (CAM) tool for chest X-ray localization, powered by ResNet101.
Led backend development of a deep learning model for detecting and visualizing abnormalities in brain CT scans.
Built a device using a Raspberry Pi, Arduino, and a custom transformer to measure Total Harmonic Distortion (THD) for a BSc thesis project.
Created a 2D racing game for PC and Android, complete with an external, custom-built gaming console. A demo is available here.
As a final undergraduate project, designed a GUI-based oscilloscope to measure and plot current and voltage in real time.
Mentored an undergraduate thesis on *COVID-19 Infection Analysis via Lung Lobe Segmentation* using deep learning.
Guided two students in the Student Science Training Program (SSTP) on hardware security and machine learning research at the University of Florida.