I am currently a Research Staff Member at IBM Research - Austin Research Laboratory.
I am a daydreamer, engineer, and designer who dreams of the unreal and struggles to make it real a bit at a time, driven by novel mobile / IoT technologies and artificial intelligence on physical worlds.
Technically, my research roams around mobile / IoT systems, embedded AI, ubiquitous computing, applied machine learning, and human-computer interaction. On top of those technical fundamentals, I am passionate about designing and architecting first-of-its-kind systems that could be immediately influential to our real life. In this light, many of my research have been aiming at or inspired by interdisciplinary applications such as health and well-being, family and children, social activism, cyber-physical instrumentation, immersive telepresence, workplace augmentation, and so on. A central value I pursue through my long-term research is to augment human-to-human interactivity in the physical world and transcend its conventional constraints by novel computing systems.
To date, I have been serving on the program committees and/or editorial board of a number of premier academic venues leading my areas of research, including ACM MobiSys, ACM UbiComp/IMWUT, ACM CHI, IEEE Infocom, and so on. I served on the NSF panel to review grant proposals. I am a recipient of the Best Paper Awards in ACM CSCW 2014. My research has generated 30+ issued U.S. patents so far.
Here are a couple of my recent research demonstrations. If you'd like to find more details about me or other fun videos of my research, please consider taking a look at my personal research website.
[ACM MobiSys'18] HomeMeld
:: A co-present robotic avatar system to help work-separated family members live at two places at the same time
[ACM MobiSys'17] Card-stunt as a Service
:: A new mobile-crowd technology for massively assembled citizens to create a powerful message
[ACM CHI'16] SymmetriSense
:: A single smartphone approach to enable surface interactivity on arbitrary glossy surfaces