Wasif Haque
Papers
1
Total Citations
11
H-Index
1
About
Dr. Wasif Haque is a researcher focused on the intersection of web engineering, data extraction, and software evolution. His primary contributions center on addressing the critical challenge of web application instability caused by frequent updates and structural changes. In his most cited work, "WebEvo: taming web application evolution via detecting semantic structure changes" (2021, 11 citations), Haque introduces a novel framework designed to help information retrieval and robotic process automation tools adapt to evolving websites. By detecting semantic shifts in web page structures, WebEvo ensures that automated data extraction processes remain functional despite ongoing modifications, preventing costly breakdowns in real-world applications. This work is particularly significant in the era of Big Data, where reliable web scraping and automation are essential. Haque’s research directly tackles the fragility of web-dependent systems, offering practical solutions that enhance robustness and longevity. His contributions are valuable for developers and researchers working on web-based automation, software maintenance, and adaptive systems, positioning him as a thoughtful voice in the ongoing effort to tame the dynamic nature of the modern web.
Research Focus
Key Achievements
Top Papers
- 1