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.
- Data Analytics
- Machine Learning
- Artificial Intelligence
- Data Visualization
- Natural Language Processing
- Machine Learning
- Artificial Intelligence
- Visual Analytics
- Social Media
Web Search Engine Misinformation Notifier Extension (SEMiNExt): A Machine Learning Based Approach during COVID-19 Pandemic
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
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.
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.
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
Research Assistant – Northern Illinois University
I am currently working as a research assistant at the DATALab in the department of Computer Science of NIU. I am working on various machine learning-related projects with my colleagues at the lab. My present research involves the analysis of ultrasonic scans to identify flaws in airplane fuselage during the manufacturing process.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
- 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)
- 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)