Scholar
Hong Lu
Google Scholar ID: MWGBih0AAAAJ
Research Scientist, Intel Lab
Citations & Impact
Citations
2,585
H-index
22
i10-index
30
Publications
20
Co-authors
6
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications: Published papers in top conferences including IMWUT, AAAI, UbiComp, MobiSys, ISWC, and SenSys. Google Scholar citations: over 11,100, h-index: 30. Awards: StressSense won the 2022 ACM UbiComp 10-year impact award; CenceMe received the 2019 ACM SIGMOBILE Test of Time Award; CenceMe also received the 2018 ACM SenSys Test of Time Award.
Research Experience
- At Intel, developed sensing systems and machine learning techniques to reason about human context, activities, and social interactions in real-world environments. Work has been productized in various Intel commercial products and deployed in Intel manufacturing facilities.
Education
- Ph.D. in Computer Science from Dartmouth College, under the guidance of Prof. Andrew T. Campbell and Prof. Tanzeem Choudhury.
Background
- Research Interests: Developing systems and AI that collect and reason about complex multimodal sensor data. Expertise: Machine/Deep learning, mobile computing, mobile sensing, context awareness, and AI for manufacturing. Background: Currently a Principal Research Scientist at Intel Labs.
Miscellany
- Serves as Associate Editor for IMWUT. Has served in various roles in the academic community, including Industrial Relationship Chair of UbiComp 2021, Registrations Chair of MobiSys 2017, Posters/Demos Chair of MobiSys 2014, PC member of IPSN 2017, UbiComp 2015, IEEE MASS 2013, Nokia Mobile Data Challenge (MDC), and MobiSense 2011.
