Ashiqur Rahman
Scholar

Ashiqur Rahman

Google Scholar ID: OtK3bX0AAAAJ
Northern Illinois University
Computer VisionArtificial IntelligenceMachine LearningData Analytics
Citations & Impact
All-time
Citations
80
 
H-index
2
 
i10-index
2
 
Publications
10
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • 1. Web Search Engine Misinformation Notifier Extension (SEMiNExt): A Machine Learning Based Approach during COVID-19 Pandemic, MDPI – Healthcare
  • 2. Analyzing Twitter Bot Activity on Academic Articles, Social Media & Society Conference 2020
  • 3. Visual Analysis of COVID-19 Vaccine Stance, JCDL – 2023
  • 4. Public interest in science or bots? Selective amplification of scientific articles on Twitter, ASLIB Journal of Information Management
  • 5. Cutting through the noise to motivate people: A Comprehensive analysis of COVID-19 social media posts de/motivating vaccination, Natural Language Processing Journal
  • 6. Mixture-of-Experts for Multi-Domain Defect Identification in Non-Destructive Inspection, AI2ASE Workshop at AAAI 2025
Research Experience
  • Over a decade of experience working in the IT industry. Developed several machine learning models for clustering, topic modeling, and classification of social media data. Currently working to expand non-destructive inspection (NDI) research boundaries by building image segmentation models to identify defects from ultrasonic and CT scans.
Education
  • Bachelor's degree: University of Dhaka, Computer Science; Master's degree: Northern Illinois University, Computer Science; Ph.D. in progress: Northern Illinois University, Computer Science.
Background
  • Research interests include machine learning, artificial intelligence, computer vision, visual analytics, and social media. Specializes in image segmentation, data visualization, machine learning, artificial intelligence, data analytics, and natural language processing.