About Myself

I am a second year PhD student at the department of Computer Science in the University of Illinois at Chicago (UIC). My research currently focuses on applications of Semi-Supervised Learning in NLP and Vision tasks. I am supervised by Professor Dr. Cornelia Caragea. I am a graduate research assistant for the semester - Fall 2024.

Before joining UIC am a lecturer in Computer Science at Uttara University, with 3+ years of teaching experience in an academic setup.

I am very enthusiastic about technology which led me to study and work in the ever advancing field of Computer Science. The satisfaction of developing something new or improving the existing technologies motivates me to work in research and development.

My undergraduate thesis was on Human Computer Interaction domain, titled - Augmented Reality Based Lifelogging System for Reminiscence under the supervision of: Professor Dr. Kamrul Hasan and Associate Prof Dr. Hasan Mahmud. Currently I am studying and continuing research on performance enhancement of NLP & Vision models in a Semi-Supervised setup.

I am interested to collaborate on different fascinating and challenging NLP and vision projects. I am self-motivated toward research and confident that my experience and insights can bring a positive change to any research project and expedite the progress towards the goal.

Apart from academic and research experience, I also have some expertise in software development, in particular, Software Quality Assurance at a software development and testing company in Bangladesh.

I consider myself communicative, organized, responsible, studious and proactive. I have strong academic writing skills and can work well with teammates.

Interests

Machine Learning

Natural Language Processing

Human Computer Interaction

Computer Vision

Education

PucMinas

PhD in Computer Science

August, 2023
Semi Supervised Learning (SSL)
PucMinas

B.Sc. in Computer Science & Engineering

Janurary, 2016 - November, 2019
Undergraduate Thesis: Human Computer Interaction (HCI)
PucMinas

Higher Secondary School Certificate (HSC)

2013 - 2015
Notre Dame College, Dhaka
Result - GPA: 5
PucMinas

Secondary School Certificate (SSC)

2011 - 2013
Rajuk Uttara Model College, Dhaka
Result - GPA: 5

Online Certification

Cisco
Introduction to Data Science in Python (University of Michigan) - Coursera.org

Relevant Experience

University of Illinois Chicago - Department of Computer Science

Aug 2023 - Jul 2024

Graduate Teaching Assistant

Uttara University

January, 2020 - July, 2023

Lecturer

  • Courses Advised:
    • Artificial Intelligence
    • Design and Analysis of Algorithm
    • System Analysis and Design
    • Operating System
    • Microprocessor and Assembly Language
    • Computer Fundamentals
    • Data Communication
  • Project Supervision
  • Departmental Committee Management and Student Advising

Nilavo Technologies Ltd.

Oct 2018 - Dec 2018

Software Quality Assurance Intern

  • Writing manual Test Cases
  • Test case Automation
  • Familiarizing with Bug tracking tools
  • Web Security & SQL Injection Prevention

Projects

Fake News Detection using DistilBERT

Year: 2022

Domain: Natural Language Processing (NLP)

  • Synopsis: In this project I have used DistilBERT, a BERT based model, to detect english fake news from actual ones.
  • Link: Project Link

Simple Machine Learning Projects

Year: 2020-2021

Domain: Machine Learning

Portfolio

Year: 2022

Book Worm

Year: 2018
  • Synopsis: An ecommerce website for buying books of your choice.
  • Link: Project Link

Driver Sleep Detection

Year: 2019
  • Synopsis: A simple application that detects driver's drowsiness and alarms him.
  • Link:

Student Attendance Management System

Year: 2018
  • Synopsis: A web application that can be viewed by the student and teacher. The teacher can input student's attendance by date (coursewise). The student can view it and get notified when his attendance percentage falls below a certain value.
  • Link:

Super Shop Management System

Year: 2016
  • Synopsis: A simple web application to track inventory and manage employee time tables. Additional features include generating receipt and finding out the most and least sold items for a particular time period.
  • Link:
Visit my Github and Kaggle profiles for more.

Research & Publication

    Scroll down for Ongoing Research

Completed:

BanglaRQA: A Benchmark Dataset for Under-resourced Bangla Language Reading Comprehension-based Question Answering with Diverse Question-Answer Types

Year: 2022

Domain: Natural Language Processing (NLP)

  • Synopsis: Question Answering is one of the fundamental tasks of NLP. In this research we developed a dataset containing Reading Comprehension, Questions and Answers to fine tune the state of the art models which resulted in achieving a better accuracy. Our dataset can be considered as a lofty training resource for different language models.
  • Link: Paper Link
  • Published at: Findings of the Association for Computational Linguistics: EMNLP 2022

Augmented Reality Based Lifelogging System for Reminiscence

Year: 2021

Domain: Human Computer Interaction (HCI)

  • Synopsis: Retrieving memories has always been a substantial area in cognitive science. Apart from sentimental longing for a moment in the past, recollecting previous memories have other demands as well. We propose that such approaches can encourage more mindful engagement with life-logging system and Augmented Reality promoting positive effects linked to reminiscing with little to no cognitive work.
  • Link: Paper Link
  • Published at: Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021: Springer, Singapore

Ongoing:

Bengali Reading Comprehension Dataset for Question Answering

Year: 2022

Domain: Natural Language Processing (NLP)

  • Synopsis: Question Answering is one of the fundamental tasks of NLP. In this research we developed a dataset containing Reading Comprehension, Questions and Answers to fine tune the state of the art models which resulted in achieving a better accuracy. Our dataset can be considered as a lofty training resource for different language models.
  • Link:
  • Submitted to:

Weather Forecasting with real world data using Machine Learning

Year: 2022

Domain: Time Series Analysis

  • Synopsis: Bangladesh is an agriculture dependant country. Although we can not drastically change the weather ourselves but we can predict the weather to some extent and take precautions accordingly. In this work we have predicted the weather with a good accuracy using machine learning models. We have worked on real world data collected from the weather bureau of Bangladesh.
  • Link:
  • Submitted to:

Analysis of different Edge Detection Techniques

Year: 2021

Domain: Computer Vision

  • Synopsis: Edge Detection is a crucial step in image processing tasks. In this research we have performed some quantitive analysis of different edge detection techniques on sattelite images.
  • Link:
  • Submitted to:

Analysis of Transfer Learning with DCNN Models for Covid-19 CXR Image Classification

Year: 2021

Domain: Computer Vision

  • Synopsis: Covid-19 pandemic has wrecked havoc throughout the world. Quick detection of patients have become an utmost necessity. In this research we have analyzed the accuracy of different CNN models on Xray images to detect covid, pneumonia and regular cases.
  • Link:
  • Submitted to:

Contact Me

My Address:

Chicago, Illinois

USA

Social Profiles

Email

mrahm@uic.edu

nibir1705@gmai.com

Contact