Kaushik Deb

University of Ulsan, Chittagong University of Engineering & Technology

Papers

Total Citations

H-Index

About

Kaushik Deb is a researcher whose work lies at the intersection of computer vision and human-robot interaction. His early contributions include a highly cited 2009 study on vehicle license plate detection, which introduced a novel method combining HSI color model statistics with position histograms—a practical approach that has garnered 13 citations and remains relevant in intelligent transportation systems. More recently, Deb has focused on the subtle dynamics of human-robot communication. His 2013 paper on an intelligent human-robot interaction framework tackles the challenging problem of controlling human attention, particularly when robot and human are not facing each other. Complementing this, his 2014 study on robotic blinking behavior explores how simple nonverbal cues like blinking can facilitate eye contact and improve social engagement between humans and robots. Though his citation counts are modest, Deb’s work addresses fundamental challenges in making robots more intuitive and socially aware, bridging technical computer vision with the nuanced psychology of interaction. His research offers valuable insights for students and engineers developing robots that can naturally guide and respond to human attention.