Jonggi Hong

Jonggi Hong is an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology, affiliated with the Charles V. Schaefer, Jr. School of Engineering and Science. He holds a PhD from the University of Maryland (2021) and MS/BS degrees from KAIST (2014/2012). His research focuses on accessibility technologies, human-computer interaction (HCI), and AI applications, particularly addressing challenges for visually impaired users through machine learning and assistive systems. He has conducted research at Microsoft Research, Adobe Research, and the Smith-Kettlewell Eye Research Institute.

His work explores user-system interactions via quantitative and qualitative methods, including studies on speech/image recognition errors, VR training for blind photography, and wearable haptic interfaces. Key projects include teachable object recognizers for non-experts and error detection in digital content. Hong serves as a Workshop Chair and Program Committee member for the ACM SIGACCESS ASSETS conference, promoting inclusive design principles in technology.

Publications span venues like CHI, ASSETS, and W4A, emphasizing real-world accessibility solutions. His grants and advising activities are not explicitly listed, but he leads research on assistive machines, inclusive design, and AI-infused systems. Hong actively contributes to professional societies like ACM and maintains affiliations with labs such as the Intelligent Assistive Machines Lab.