Vikram Mohanty

I am a Postdoctoral Fellow at the Human-Computer Interaction Institute, where I work with Dr. Aniket Kittur and Dr. Nik Martelaro. My research focuses on designing and studying systems that combine crowdsourced human expertise and artificial intelligence to address complex, real-world sensemaking challenges. I also explore how users with diverse levels of expertise collaborate with AI-infused tools and navigate ethical challenges in human-AI interaction.

Currently, I am investigating how human-AI collaborative workflows can enhance the creative processes of engineers and designers at scale, enabling innovative solutions and cross-domain inspirations.

Previously, I was a Postdoctoral Research Scientist in the Visual Analytics and Explainable AI group at Bosch Research North America, where I worked on developing human-LLM collaborative workflows for domain-specific data analysis. I earned my Ph.D. in Computer Science from Virginia Tech, where I developed Civil War Photo Sleuth, a platform that integrates crowdsourcing with computer vision-based workflows to identify unknown historical portraits. This platform has supported the identification of hundreds of previously unidentified Civil War-era photos, with contributions from over 20,000 users and a library of 60,000 photos. It has since evolved into a 501(c)(3) non-profit organization, The Photo Sleuth Foundation.

My work has been featured in Time, Smithsonian, Popular Mechanics, Slate, and The History Channel  and has received several awards, including the Microsoft Cloud AI Research Challenge Grand Prize (2018), ACM CHI Honorable Mention (2023), ACM IUI Best Paper (2019), and AAAI HCOMP Best Poster/Demo (2018, 2023).