Wan Du

Department of Computer Science and Engineering
School of Engineering
The University of California, Merced
Address: #208, SE2, 5200 N. Lake Road, Merced, CA 95343
Email: wdu3 AT ucmerced.edu

I am looking for Postdoc researchers and highly-motivated PhD students. Please find details here.

Dr. Wan DU joined the Department of Computer Science and Engineering at UC, Merced in 2017. Before moving to Merced, he had worked as a research fellow at Nanyang Technological University for 5.5 years in Singapore. He received his Ph.D degree from University of Lyon (Ecole Centrale de Lyon), France, and his Master and Bachelor degrees from Beihang University, China.

RESEARCH INTERESTS
Internet of Things, Mobile Computing, Data Analytics, Cyber Physical Systems, and Networked Embedded Systems.

TEACHING
CSE150 – Operating Systems: Fall’18, Fall’19 (Syllabus) 
EECS250 – Advanced Topics in Computer Systems: Spring’18, Spring’19 (Syllabus)

SELECTED PUBLICATIONS (Full list) (* refers to the PhD students I have advised or co-advised.)

  1. Weifeng Gao*, Wan Du, Zhiwei Zhao, Geyong Min, and Mukesh Singhal, “Towards Energy-Fairness in LoRa Networks”, in IEEE  ICDCS, 2019. PDF, code.
  2. Xianzhong Ding*, Wan Du and Alberto Cerpa, “OCTOPUS: Deep Reinforcement Learning for Holistic Smart Building Control”, in ACM BuildSys, 2019. PDF.
  3. Zhihao Shen*, Kang Yang*, Wan Du, Xi Zhao, and Jianhua Zou, “DeepAPP: A Deep Reinforcement Learning Framework for Mobile Application Usage Prediction”, in ACM SenSys, 2019. PDF. code&data.
  4. Zhihao Shen*, Wan Du, Xi Zhao, and Jianhua Zou, “Retrieving Similar Trajectories from Cellular Data at City Scale.” arXiv preprint arXiv:1907.12371 (2019).
  5. Jothi Prasanna Shanmuga Sundaram*, Wan Du, and Zhiwei Zhao, “A Survey on LoRa Networking: Research Problems, Current Solutions and Open Issues.” arXiv preprint arXiv:1908.10195 (2019).
  6. Jie Liu, Jiawen Liu, Wan Du, and Dong Li, “Performance Analysis and Characterization of Training Deep Learning Models on NVIDIA TX2.” arXiv preprint arXiv:1906.04278 (2019).
  7. Chi Lin, Chunyang Guo, Wan Du, Jing Deng, Lei Wang, and Guowei Wu, “Maximizing Energy Efficiency of Period-Area Coverage with UAVs for Wireless Rechargeable Sensor Networks”, in IEEE SECON, 2019. code&data
  8. Chi Lin, Zhi Shang, Wan Du, Jiankang Ren, Lei Wang and Guowei Wu, “CoDoC: A Novel Attack for Wireless Rechargeable Sensor Networks through Denial of Charge”, in IEEE INFOCOM , 2019. code&data
  9. Zhenfeng Shao, Linggang Wang, Zhongyuan Wang, Wan Du, and Wenjing Wu, “Saliency-Aware Convolution Neural Network for Ship Detection in Surveillance Video”, IEEE Transactions on Circuits and Systems for Video Technology, January 2019. data.
  10. Wan Du, Panrong Tong, and Mo Li, “UniLoc: A Unified Mobile Localization Framework Exploiting Scheme Diversity”, in IEEE  ICDCS, 2018. PDF
  11. Huanle Zhang, Wan Du, Mo Li, Prasant Mohapatra and Kaishun Wu, “StrLight: An Imperceptible Visible Light Communication System with String Lights”, IEEE Transactions on Mobile Computing, August 2018. Accepted. PDF
  12. Zhenfeng Shao, Wenjing Wu, Zhongyuan Wang, Wan Du, and Chengyuan Li, “SeaShips: A Large-Scale Precisely-Annotated Dataset for Ship Detection”, IEEE Transactions on Multimedia, Vol. 20, Issue 10, October 2018. PDF. data.

SERVICES

TPC Members

  • IEEE INFOCOM 2020, 2019, 2018 (Distinguished TPC member).
  • IEEE MASS 2019
  • IEEE VTC-Fall 2019
  • IEEE SMARTCOMP 2019.
  • IEEE ICESS 2019.
  • IEEE ICCCN 2019, 2018.
  • EWSN 2019.
  • IEEE ICDCS 2018, 2017.
  • IEEE ICPADS 2018, 2017, 2015, 2014.
  • IEEE SECON 2018.
  • IEEE Globecom 2018.
  • ACM MobiSyS Demo session 2018.
  • EWSN Demo and Poster session 2018, 2017.
  • ACM/IEEE IPSN Demo session 2016.

Organization of Conferences or Workshops

GROUP MEMBERS                           

  • Xianzhong Ding (PhD student, 2018-)
  • Miaomiao Liu (PhD student, 2018-)
  • Jothi Prasanna Shanmuga Sundaram (PhD student, 2018-)
  • Weifeng Gao (visiting PhD student from UESTC, 09/2018- )
  • Haiqiao Wu (visiting PhD student from BIT, 01/2019- )

AWARDS

  • Distinguished TPC member, IEEE INFOCOM, 2018
  • Exemplary Reviewer for IEEE Transactions on Wireless Communications, 2018, 2017.
  • IoT OpenInnov Challenge Winner, by ENGIE and SIGFOX, 2016.
  • Best Paper, ACM SenSys 2015 (Wan Du, Jansen Christian Liando, Huanle Zhang and Mo Li).
  • Best Demo, IEEE SECON 2014 (Wan Du, Mo Li, Zikun Xing, Bingsheng He, Lloyd Hock Chye Chua, Zhenjiang Li, Yuanqing Zheng, and Pengfei Zhou).
  • Best Paper, ICSNC 2010 (Wan Du, Fabien Mieyeville, and David Navarro).

INVITED TALKS                          

  • University of California at Santa Cruz, “Building Internet of Things Systems: From Networked Sensing to Data Analytics”, January 2019.
  • University of California at Santa Cruz, “Building Internet of Things Systems via Networked Sensing and Mobile Computing Innovations”, August 2018.
  • Siemens Corporation Technology at Berkeley, “Building Internet of Things Systems via Networked Sensing and Mobile Computing Innovations”, August 2018.
  • University of Science and Technology of China, “Building Adaptive and Fast Networked Sensing Systems for Urban Cyber Physical Systems”, May 2017.
  • Fudan University, China, “Building Adaptive and Fast Networked Sensing Systems for Urban Cyber Physical Systems”, May 2017.
  • Singapore University of Technology and Design, “Building Adaptive and Fast Networked Sensing Systems for Urban Cyber Physical Systems”, April 2017.
  • Missouri University of Science and Technology, USA, “Building Adaptive and Fast Networked Sensing Systems for Urban Cyber Physical Systems”, April 2017.
  • University of Oxford, UK, “Building Networked Sensing Systems for Urban Cyber Physical Systems”, March 2017.
  • Imperial College London, UK, “Building Networked Sensing Systems for Cyber Physical Systems”, March 2017.
  • Rochester Institute of Technology, USA, “Building Adaptive and Efficient Systems for Networked Sensing”, February 2017.
  • TU Dortmund, Germany, “A Software-Defined Sensing System for Smart Water Management”, December 2016.
  • Dalian University of Technology, China, “Intelligent Sensing for Water Quality Studies of Reservoirs”, July 2016.
  • “When Pipelines Meet Fountain: Fast Data Dissemination in Wireless Sensor Networks”, the 10th ACM International Workshop on IoT and Cloud Computing, Wuxi, China, December 2015.