Md Ehtesham-Ul-Haque
Scholar

Md Ehtesham-Ul-Haque

Google Scholar ID: jBfKUhYAAAAJ
Ph.D. Candidate, Pennsylvania State University
AccessibilityHuman-Computer InteractionApplied Machine LearningHuman-Centered AINLP
Citations & Impact
All-time
Citations
116
 
H-index
5
 
i10-index
4
 
Publications
9
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Papers accepted at top-tier HCI conferences, including UIST (best paper award), CHI, and IMWUT; April 2025, paper 'ToPSen: Task-Oriented Priming and Sensory Alignment for Comparing Coding Strategies Between Sighted and Blind Programmers' accepted at DIS 2025; May 2024, paper 'Cognitive Models for Abacus Gesture Learning' accepted at CogSci 2024; August 2023, undergraduate work on artificial emotion generation accepted at Cognitive Systems Research; August 2023, paper 'Abacus Gestures: A Large Set of Math-Based Usable Finger Counting Gestures for Mid-Air Interactions' accepted at IMWUT; January 2023, paper 'Understanding the Usages, Lifecycle, and Opportunities of Screen Readers’ Plugins' accepted at TACCESS; January 2023, paper 'Accessible Data Representation with Natural Sound' accepted at CHI 2023; October 2022, Grid-Coding received the best paper award at UIST 2022; June 2022, paper 'Grid-Coding: An Accessible, Efficient, and Structured Coding Paradigm for Blind and Low-Vision Programmers' accepted at UIST 2022.
Research Experience
  • Working at the A11y Lab; Started an internship at Amazon in June 2025.
Education
  • 4th year Informatics Ph.D. student at Penn State, supervised by Dr. Syed Billah; Completed M.Sc. in Informatics from Penn State in 2023; B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology.
Background
  • Research interests include Accessibility, HCI, Cognitive and Learning Theories, Natural Language Processing, and Virtual Reality. Working towards developing a universal and inclusive representation of computer programming concepts to provide easier access and better learnability for sighted and visually impaired students. Also exploring the use of Large Language Models to help fix accessibility issues in source code.
Miscellany
  • Personal interests not mentioned
Co-authors
0 total
Co-authors: 0 (list not available)