Guoliang Xing's research lies at the interface between systems, embedded AI, data/information processing algorithms, and domain sciences, with a focus on interdisciplinary applications in health, environment, and energy. His research group develops new technologies at the frontier of mobile health, Cyber-Physical Systems (CPS), Internet of Things (IoT), wireless networks, security and privacy. Several mobile health technologies developed in his lab have been commercialized and used by thousands of users. Prof. Xing led the development and field deployment of several large-scale cyber physical systems, including 20+ seismic monitoring systems on two live volcanoes in South America. He has been awarded 10 NSF grants, including 4 large multi-institute grants from major NSF interdisciplinary programs (Smart and Connected Health, Cyber Physical Systems, Cyber-Innovation for Sustainability Science and Engineering, and Cyber-Enabled Discovery and Innovation). Prof. Xing has served as the Steering Committee member, General Chair, and TPC Chair of several international conferences including IPSN – IEEE/ACM’s premier conference on information processing in sensor systems.
Awards & Recognitions
- Withrow Distinguished Scholar Award, College of Engineering, MSU, 2014
- Faculty Early Career Development (CAREER) Award, National Science Foundation, 2010.
- Best Paper Award, “Nemo: A High-fidelity Noninvasive Power Meter System for Wireless Sensor Networks”, SPOTS Track, the 12th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), 2013.
- Best Paper Award, “Beyond Co-existence: Exploiting WiFi White Space for ZigBee Performance Assurance”, the 18th IEEE International Conference on Network Protocols (ICNP), 2010.
- Best Paper Finalist, “Aquatic Debris Monitoring Using Smartphone-Based Robotic Sensors”, the 13th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), 2014.
- Best Paper Finalist, “Imaging Volcano Seismic Tomography in Sensor Networks”, the 10th Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON), 2013.
- Mark Weiser Best Paper Award Runner-up, “Supero: A Sensor System for Unsupervised Residential Power Usage Monitoring”, the 11th IEEE International Conference on Pervasive Computing and Communications (PerCom), 2013
- Best Paper Finalist, “Passive Interference Measurement in Wireless Sensor Networks”, the 18th IEEE International Conference on Network Protocols (ICNP), 2010.
- Mark Weiser Best Paper Award Runner-up, “Negotiate Power and Performance in the Reality of RFID Systems”, the 8th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom), 2010.
- Best Mobile Application, Silver Award, “SPOT – a smartphone-based platform to tackle heterogeneity in smart-home systems”, the Third Mobile App Competition, the 21st International Conference on Mobile Computing and Networking (MobiCom), 2015
- Best Mobile Application, Third Place, “iBreath: A Smartphone Application for Breathing Monitoring during Running”, the Second Mobile App Competition, 20th Annual International Conference on Mobile Computing and Networking (MobiCom), 2014.
- Best Mobile Application, Third Place, “iSleep: A Smartphone Application for Unobtrusive Sleep Quality Monitoring”, the First Mobile App Competition, 19th Annual International Conference on Mobile Computing and Networking (MobiCom), 2013.
💡 Smart Mobile Health Systems: A key global challenge today is to deliver high quality yet economically efficient healthcare solutions. The prominence of mobile technologies holds the promise of fundamentally transforming today’s reactive, hospital-centered healthcare practice to proactive, individualized care, and shifting the focus from disease to wellbeing. Our work on mobile health focuses on 1) building novel mobile systems that can monitor holistic health data ranging from biological rhythms (heart/respiration rate, sleep quality etc.), daily activities (work, family routine, exercise, etc.), to social interactions in dynamic, challenging environments, 2) transforming health data to behavioral, psychological, and physiological models using novel sensing and data analytics techniques, and 3) developing motivational feedback systems to empower individuals to improve lifestyles and participate in their own health treatment.
💡 Cyber-physical Systems and Internet of Things. CPS and IoT interact with the physical world by tightly integrating sensing, actuation, computation, and physical objects. As a key enabling technology for many critical domains such as environment, smart cities, transportation, and smart grids, CPS and IoT have been recognized as a top national research priority in several US presidential reports. Many CPS and IoT systems must process large volume of data from dynamic environments under tight energy and real-time constraints. We have developed new systems and computing paradigms for such data-intensive CPS/IoT applications. My group has developed new systems and computing paradigms for such data-intensive CPS applications.
- Mohammad-Mahdi Moazzami (Ph.D candidate, Samsung Research)
- Dennis Philips (Ph.D candidate)
- Wahhab Al Bazrqaoe (Ph.D candidate)
- Alireza Ameli (Ph.D candidate)
- Chongguang Bi (Ph.D candidate)
- Deliang Yang (Ph.D candidate)
- Linlin Tu (Ph.D candidate)
- Fatme El-Moukaddem (Ph.D, 2012, co-advised with Eric Torng)
- Jun Huang (Ph.D, 2012, Assistant Professor at Peking University, China)
- Ruogu Zhou (Ph.D, 2014, Postdoc, 2014-2015)
- Jinzhu Chen (Ph.D, 2014, GM Research)
- Yu Wang (Ph.D, 2015, Samsung)
- Tian Hao (Ph.D, 2015, Postdoc, 2015-2016, IBM Research)
- Rui Tan (Postdoc, 2011-2013, Assistant Professor at Nanyang Technological University, Singapore) `
Washington Univ. in St. Louis, St. Louis, MO
- D.Sc. Computer Science & Engineering, 2006
- M.S. Computer Science & Engineering, 2003
Xi'an JiaoTong University, Xi'an, China
- M.S. Computer Science & Technology, 2001
- B.S. Electrical Engineering, 1998
Department of Computer Science and Engineering, Michigan State University
- 2013 - present, Associate Professor (with tenure)
- 2008 - 2013, Assistant Professor
Department of Computer Science, City University of Hong Kong
- 2006 - 2008, Assistant Professor
Palo Alto Research Center (PARC), CA
- 5/2004-8/2004, Research Intern