Jun Nishida

Jun Nishida is an Assistant Professor at the University of Maryland, College Park's Department of Computer Science, leading the Embodied Dynamics Laboratory. He holds a Ph.D. in Human Informatics from the University of Tsukuba (2019) and previously served as a postdoctoral fellow at the University of Chicago's Human Computer Integration Lab. His research focuses on wearable interfaces that share embodied experiences through technologies like electrical muscle stimulation and exoskeletons, aiming to enhance rehabilitation, education, and design collaboration.

Education:

• Ph.D., Human Informatics, University of Tsukuba, Japan (2019)
• Postdoctoral Research, University of Chicago (2019–2022)

Research Interests:

Nishida explores human augmentation via wearable devices, emphasizing haptics, motor learning, and cognitive enhancement. His work bridges psychological theory with hardware innovation, such as exoskeletons that morph physical capabilities and systems enabling interpersonal kinesthetic synchronization. Recent projects include DexteriSync (hand dexterity sharing) and Preemptive Action (EMS-driven reaction acceleration).

Awards:

• ACM UIST Best Paper Award (2020)
• Microsoft Research Asia Fellowship (2016)
• Forbes 30 Under 30 (2018)
• Guinness World Record (2022)

Lab & Grants:

His Embodied Dynamics Lab develops devices for body-to-body communication and cognitive enhancement. He advises four PhD students and has received grants from NSF, JSPS, and Microsoft Research.

Labs/Teams:

Leads the Embodied Dynamics Lab, collaborating with institutions like Sony Computer Science Laboratories and the University of Chicago.