Ashiqur Rahman

Ph.D. Student, Department of Computer Science, Northern Illinois University

I have experience working in the IT industry for over a decade. I completed my bachelor’s degree in Computer Science from the University of Dhaka and my master’s in Computer Science from Northern Illinois University. I am pursuing my Ph.D. in Computer Science at Northern Illinois University.

Expertise
  • Data Analytics
  • Machine Learning
  • Artificial Intelligence
  • Data Visualization
  • Natural Language Processing
Research Interests
  • Machine Learning
  • Artificial Intelligence
  • Misinformation
  • Visual Analytics
  • Social Media

Publications

Web Search Engine Misinformation Notifier Extension (SEMiNExt): A Machine Learning Based Approach during COVID-19 Pandemic

MDPI – Healthcare

A research paper published in the MDPI – Healthcare journal where me and the co-authors proposed a machine learning based approach to catch misinformation related search keywords and add a roadblock before redirecting users to possible harmful healthcare behaviors.

Analyzing Twitter Bot Activity on Academic Articles

Social Media & Society Conference 2020

A short paper analyzing the Twitter bot activity on academic articles was published at the Social Media & Society conference 2020. The co-authors and I analyzed the behavior of Twitter bots using the dataset from Altmetrics.


Current Projects

Twitter Bot Activity on Academic Articles

This study focused on the activity of Twitter bots, especially in academia, and their possible impacts. My study also focuses on isolating possible bias of the bots towards certain research areas.

Analyzing Long-term Public Opinion on COVID-19 Vaccine

We analyzed topics and stances from Twitter data during the COVID-19 pandemic to understand public opinion regarding the COVID-19 vaccination. We analyzed the topics based on location and political orientation to identify differences. This can be a helpful study to identify and tackle the spread of misinformation related to critical social issues.

Visual Analysis of COVID-19 Vaccine Stance

We developed a web-based tool to analyze COVID-19 tweets visually. This interactive tool helps identify relations and hidden patterns in COVID-19 vaccine-related topics and public stance towards vaccination.

Anomaly Detection in Ultrasonic Images

We are working to identify anomalies in ultrasonic scan images. We are tackling this as a computer vision problem and using panoptic segmentation models to classify the anomalies. This work can be groundbreaking in automating the manufacturing process of different safety-critical industries.


Education

Ph.D. in Computer Science – Northern Illinois University

Areas of research for the Ph.D. covers NLP, visual analytics, and big data analytics.

2021 – running

M.Sc. in Computer Science – Northern Illinois University

Major topics covered in the graduate program were Python programming, big data analytics, machine learning, data visualization, and artificial intelligence.

2019 – 2021

B.Sc. in Computer Science – University of Dhaka

Major topics covered in the undergraduate program were computer programming, network security, database management, operating systems, discrete mathematics, and calculus.

2003 – 2009

Work Experience

Research Assistant – Northern Illinois University

I am currently working as a research assistant at the DATALab at the department of Computer Science of NIU. I am working on various machine learning related projects with my colligues at the lab.

2022 – current

Teaching Assistant – Northern Illinois University

I worked as a teaching assistant for different Computer Science courses including C++ programming, Software Engineering, UNIX programming, Android programming etc. My responsibilities included assisting undergraduate students with their coursework and helping the professors with grading and evaluating.

2019 – 2022

Web Application Developer – Choobs Ltd.

I worked on web and mobile based solutions to automate the business models of several small and medium sized organizations. I have successfully led several teams to complete mid to large sized applications.

2011 – 2019

Founder & CEO – Creativity Unleashed

I have led several teams to provide software solutions to local and foreign organizations. I led the development of one of the country’s first e-commerce platform.

2006 – 2013

Programmer – SGC Soft Ltd.

I worked on several desktop and web-based software solutions for small and medium sized organizations.

2009 – 2009

Achievements

  • Finalist: The Virus Versus Hackathon (2020)
  • Participation: The AIR Hackathon (2018)
  • Finalist: Porsche NEXT OI (2018)
  • Finalist: Human Beyond Digital Hackathon (2018)
  • Finalist: Hôpitaux Universitaires de Genève (HUG) – Hackathon (2018)
  • Champion: Mercedes-Benz Digital Challenge (2017)

Activities

  • Volunteered as speaker at Inspiring Youth Bangladesh (2018)
  • Participated e-commerce Expo organized by Bangladesh Association of Software and Information Services (BASIS) (2012)
  • Participated at Soft Expo organized by Bangladesh Association of Software and Information Services (BASIS) as entrepreneur (2010, 2011, 2012)