Center Partners
Tian Hao, PhD
Tian Hao, PhD
Research Staff Member, Thomas J. Watson Research Center, IBM Research
Dr. Tian Hao is a computer scientist who is passionate about creating intelligent systems powered by innovative sensing, IoT and AI technologies, and applying them to solve real-world problems. Working with a multidisciplinary team at IBM Research, he leads Cognitive IoT projects that aim to understand physical/mental health, uncover clinically meaningful insights, and empower personalized health.
The results of his research have been published and presented in leading conferences in both Mobile Computing (MobiSys, SenSys, UbiComp) and Health Informatics (MedInfo, AMIA). He is also passionate about bringing innovations to life through award-winning prototyping (MobiCom Best App Award in 2013 and 2014). He has been invited to serve in various scientific communities, including member of organizing committee (UbiComp’18), TPC member (CHASE’18), and grand proposal review panel for National Science Foundation (NSF). He also serves as an Associate Editor of the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT).
Tian holds a Ph.D. in Computer Science from Michigan State University, during which he was best-known for his early works on color barcode streaming technology (COBRA) that enables effortless and secure data exchange between smartphones and other screens, and the first sound-based smartphone system (iSleep) that offers contact-free sleep status and snoring tracking, which he later tailored and transferred to the industry through a startup company he co-founded.
In his spare time, he enjoys watching a good MMA match, and is often seen punching bags at a UFC gym.
Selected Publications
- Mishra V, Hao T, Sun S, Walter KN, Ball MJ, Chen CH, Zhu X. Investigating the role of context in perceived stress detection in the wild. UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers; 2018 October; Singapore. New York: ACM; 2018., pp. 1708-1716. View Source
- Hao T, Walter KN, Ball MJ, Chang HY, Sun S, Zhu X. StressHacker: Towards practical stress monitoring in the wild with smartwatches. AMIA Annu Symp Proc. 2018 Apr 16;2017:830-838. PMID: 29854149; PMCID: PMC5977663. View Source
- Hao T, Changa H, Balla M, Lina K, Zhua X. cHRV uncovering daily stress dynamics using bio-signal from consumer wearables. Stud Health Technol Inform. 2017;245:98-102. PMID: 29295060. View Source
- Hao T, Bi C, Xing G, Chan R, Tu L. Mindfulwatch: A smartwatch-based system for real-time respiration monitoring during meditation. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2017 September; 1(3): p. 57. View Source
- Hao T, Xing G, Zhou G. RunBuddy: A smartphone system for running rhythm monitoring.Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing; 2015 September; Osaka, Japan. New York: ACM; 2015. pp. 133-144. View Source
- Hao T, Xing G, Zhou G. iSleep: Unobtrusive sleep quality monitoring using smartphones. Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems; 2013 November; Rome, Italy. New York: ACM; 2013. p. 4. View Source
- Hao T, Zhou R, Xing G. COBRA: color barcode streaming for smartphone systems. Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services; 2012 June; Low Wood Bay Lake District UK. New York: ACM; 2012. pp. 85-98. View Source