Tahsin Mostafiz

PhD student
Department of ECE
University of Florida

About Me

Hello! I am Tahsin. I am a PhD student in the department of ECE, University of Florida. I am working under Professor Navid Asadi in the FICS lab. I am currently working on physical assurance for AI and package security. My research interests are deep learning, computer vision and hardware security.
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 love to read science-fiction books, write short stories, watch movies.

Research Interests

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Sequence Modeling
  • Natural Language Processing

CV

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Education

M.Sc in Electrical and Electronics Engineering

University of Florida
Spring 2021 - Spring 2024

BSc in Electrical and Electronics Engineering

Bangladesh University of Engineering and Technology
2012 - 2017

Major Publications

  • 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, "The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU)", preprint
  • Md Mahfuz Al Hasan, Saba Ghazimoghadam, Padcha Tunlayadechanont, Tahsin Mostafiz, Manas Gupta, Antika Roy, Keith Peters, Bruno Hochhegger, Anthony Mancuso, Navid Asadizanjani, Reza Forghani, "Automated Segmentation of Lymph Nodes on Neck CT Scans Using Deep Learning", Accepted at Journal of Digital Imaging
  • Md Mahfuz Al Hasan, Tahsin Mostafiz, Thomas An Lee, Jake Julia, Nidish Vashistha, Shayan Taheri, Navid Asadi Zanjani, "EVHA: Explainable Vision System for Hardware Testing and Assurance - An Overview", ACM Journal on Emerging Technologies in Computing Systems PDF
  • Tahsin Mostafiz, Dr. Khalid Ashraf, "Pathology Extraction from Chest X-Ray Radiology Reports: A Performance Study", arXiv 1812.02305 PDF
  • Tahsin Mostafiz, Ismat Jarin, Dr. Shaikh A. Fattah, Dr. Celia Shahnaz, "Retinal Blood Vessel Segmentation using Residual Block Incorporated U-Net Architecture and Fuzzy Inference System", 2018 4th IEEE WIECON-ECE Conference
  • A. Mitra, T. Mostafiz, R. Ur Rashid, "Photoplay: An Android Application to Stimulate Children’s Cognitive Development", 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) PDF

Selected Projects

  • RadAssist, A Web Based Tool for Brain Hemorrhage Detection and Localization

    I worked on developing the backend deep learning model for the web based tool RadAssist. It assists doctors in detecting and localizing abnormalities from brain CT scan images. This project abstract has been accepted at the SIIM 2020 Conference!

  • An Inference Tool for SemRad, a Teleradiology Solution Software

    A complete teleradiology solution that incorporates deep learning models to detect chest abnormalities. The framework is JavaFX and SQL is at the backend. This was a professional project. I designed an inference tool for abnormality detection and localization in Chest X-Rays based on MobileNet Algorithm. This was later integrated into the software.

  • Class Activation Mapping (CAM) for SemRad, a Teleradiology Solution Software

    A complete teleradiology solution that incorporates deep learning models to detect chest abnormalities. The framework is JavaFX and SQL is at the backend. This was a professional project. I designed a Class Activation Mapping tool based on this paper for localization of abnormalities in Chest X-Rays. This was later integrated into the software.

  • Retinal Vessel Segmentation Using Autoencoder

    This project was performed on the DRIVE dataset, using a U-Net-based architecture with residual blocks. It was part of a research work which later got accepted at the 4th IEEE WIECON-ECE Conference 2018. Details are available in the Publications section.

  • Pathology Extraction from Chest X-Ray Radiological Reports

    Using the Named Entity Recognition (NER) method described here, I developed a model that can extract pathology terms from EHR reports. This is an ongoing research project.

  • Development of Hardware for the Measurement of THD in Power Systems

    I developed a device using Raspberry Pi, Arduino, and a transformer that can measure the total harmonic distortion (THD) present in the power system. This was a part of our undergraduate thesis.

  • PhotoPlay, An Android App for Children

    This app was designed to help children stimulate their cognitive development. It uses an Inception v3 model as its backbone, pretrained on the ImageNet dataset and fine-tuned on additional data. It was part of a research work which later got accepted at the 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC). Details are available in the Publications section.

  • Differential Diagnoses, an Amazon Alexa Skill

    This Alexa skill can recite all differential diagnoses for user-fed symptoms. It includes a comprehensive list of 1700 differential diagnoses and their corresponding symptom mapping. The development of this skill is still in progress.

  • Identification of Risk Factors for Heart Disease in Diabetic Patients

    Using bidirectional LSTM and CRF-based entity recognition model, risk factors were identified for heart diseases in diabetic patients. The dataset was from i2b2. This was a professional project.

  • semDDX, an Android App

    This Android app helps easily navigate the vast landscape of differential diagnoses, aids medical students in learning, and helps normalize and standardize communication between physicians. The app is available at Google Play.

  • Gate Level Design, Cell Layout, and Simulation of 10-bit Priority Encoder

    This was the final project for the VLSI II Laboratory. It was an academic project.

  • Gate Level Design and Simulation of an 8-bit Microprocessor (Modified SAP)

    This was the final project for Microprocessor and Interfacing Laboratory. It was an academic project.

  • Interface and Gaming Console Design for A Computer and An Android Game.

    A 2-D Car racing game for PC and Android devices (Phone, Tablet, Smart TV etc.) with an external control system and a user-friendly gaming interface was designed. Detailed explanation and demo are available here on Youtube. This was an academic project for the Control System Lab.

  • Home Security System Via Push Message Service

    Arduino along with a GSM module, LCD panel, proximity and sonar sensors were used for this project. This was an academic project for the Communication I Lab.

  • Gate Level Design and Simulation of a 4-bit Arithmetic Logic Unit

    This was the final project for the Digital Electronics Laboratory. It was an academic project.

  • An Oscilloscope for the Measurement of Current and Voltage

    This was the final project for the Measurement and Instrumentation Laboratory. I made a 2-channel oscilloscope that can simultaneously measure and plot voltage and current values on a Graphical User Interface designed by me. It was also the last undergrad project I worked on.

  • SONAR Controlled Flappy Bird

    The infamous Flappy Bird game could be played by waving a hand in this project. Arduino along with a SONAR sensor were used for this project. A demo is available here on Youtube.

  • Home Automation System

    This was a group project. We made a home automation system that had electric fans and lights as test loads, and an Android app was built to control the loads from a distance. This prototype used Bluetooth to connect.