Feng Zhao is Distinguished Visiting Professor at Tsinghua University.
For his work on wireless sensor network, IoT and cyber-physical systems (CPS), Feng received
the 2022 IEEE CPS Distinguished Leadership Award, with the citation:
"For pioneering contributions to the theories and practices of cyber-physical
systems and inspirations to upcoming researchers, engineers and entrepreneurs ."
Feng's own research has focused on wireless sensor networks, energy-efficient computing, and mobile and cloud systems. He has authored or co-authored over 100 technical papers and books, including a book, Wireless Sensor Networks: An information processing approach, by Morgan Kaufmann, and has over 50 US patents issued.
Feng was a Partner at Eight Roads Ventures China (formerly known as Fidelity Growth Partners Asia) from 2020-2024, and focused on investments in enterprise services.
Feng was Chief Technology Officer and Vice President for Advanced R&D and Smart Home business at Haier, a worldwide market leader in home appliances and IoT devices, during 2015-2019. He led the development of Haier's Smart Home U+ Platform that won the 2018 IFA Product Technical Innovation Award and 2019 CES Global Smart Appliance Award, and was responsible for the appliance industry’s largest IoT adoption.
Feng was an Assistant Managing Director at Microsoft Research Asia during 2009-2015, responsible for the hardware, mobile and sensing, software analytics, systems, and networking research areas. Feng and his team developed mobile and cloud solutions that advanced the state-of-the-art in computing and significantly impacted Microsoft product groups: accurate indoor navigation system, efficient Internet search index serving platform, interactive visual analytics for big data, software defined radio and data center networking technologies.
Prior to joining MSR-Asia, Feng was a Principal Researcher at Microsoft Research Redmond (2004-2009), and founded the Networked Embedded Computing Area. During this time, he led the team to develop the MSR sensor mote, Tiny Web Service, SenseWeb and SensorMap, Data Center Genome, JouleMeter, and GAMPS data compression. With the help of some of these technologies, Microsoft data centers were considered among the most densely instrumented and monitored cloud computing infrastructures in the world.
Feng was a Principal Scientist at Xerox Palo Alto Research Center (Xerox PARC) (1997-2004) and founded PARC’s sensor network effort. He played a key role in PARC’s Smart Matter Project that developed tiny networked sensors and actuators for embedding into physical environments, and a suite of collaborative sensing, control and processing protocols, including the IDSQ algorithm.
Feng was the founding Editor-In-Chief of ACM Transactions on Sensor Networks (2003-2010), and founded the ACM/IEEE IPSN conference in 2001. He served on ACM SIGBED Executive Committee (2004-2010), as Technical Program Co-Chairs for ACM Sensys’05 and Mobisys’13, and on the Steering Committee for CPSWeek (2007-now). In 2008, he worked with USENIX and ACM to start HotPower, a technical forum focusing on sustainable computing.
Feng received his BS from Shanghai Jiaotong University (1984), and MS and PhD in Electrical Engineering and Computer Science from MIT (1988 and 1992, respectively) where he developed one of the first algorithms for fast N-body computation in three spatial dimensions. He taught at Ohio State University as an Assistant and then tenured Associate Professor in Computer Science (1992-1997), and at Stanford University as a Consulting Professor of Computer Science (1999-2006).
Feng was also a Guest Professor at Shanghai Jiaotong University and Peking University, and an Affiliate Faculty at University of Washington. He served on the advisory boards for Information Engineering at Chinese University of Hong Kong and Computer Science and Engineering at Hong Kong University of Science and Technology.
An ACM and IEEE Fellow, Feng received a Sloan Research Fellowship (1994) and US NSF and ONR Young Investigator Awards (1994, 1997). His work has been featured in news media such as BBC World News, BusinessWeek, and Technology Review.
(Chinese version - 中文)
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