Dr. Wei Shi

Associate Professor

NET Coordinator

Dr. Wei Shi

Associate Professor

NET Coordinator

Dr. Wei Shi is an Associate Professor in the School of Information Technology, cross-appointed to the Department of Systems and Computer Engineering in the Faculty of Engineering & Design at Carleton University. She specializes in algorithm design and analysis in distributed environments such as Data Centers, Clouds, Mobile Agents and Actuator systems and Wireless Sensor Networks. She has also been conducting research in data privacy and Big Data analytics. She holds a Bachelor of Computer Engineering from Harbin Institute of Technology in China and received her Master's and Ph.D. in Computer Science from Carleton University in Ottawa, Canada. Dr. Shi has published over 60 articles in reputable conferences and journals. She is also a Professional Engineer licensed in Ontario, Canada.


Research Areas

  • Big Data Analytics Acceleration
  • Cloud and Data Center Optimization
  • Algorithm Design in Distributed Systems
  • Data Privacy Preservation

Research Topics

  • Computer Networks (Planning, Design, Architecture)
  • Cloud, Fog, and Edge Computing
  • Software Defined Networks (SDN)
  • Ad-hoc and Wireless Sensor Networks
  • Network Security
  • Data Privacy
  • Machine Learning & Artificial Intelligence
  • Network security (threat modelling, blockchain, usable security)

Activities

Technical Program Committees

  • The Fourth IEEE International Conference on Big Data Intelligence and Computing (DataCom 2018), 12-15 August 2018, Athens, Greece. TPC
  • The 4th IEEE International Conference on Smart Data (SmartData-2018), July 30th – August 03, 2018. Halifax, Canada. TPC.
  • The 3rd IEEE Conference on Cloud and Big Data Computing (CBDCom 2018), October 8-12, 2017. Guangzhou, P.R. China. Workshop Chair.
  • The 3rd IEEE Conference on Cloud and Big Data Computing (CBDCom 2017), August 4 -8, 2017. San Francisco Bay Area, USA. Publicity Chair.
  • The 5th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (ParLearning 2017), May 29, 2017. Orlando, Florida, USA

Undergraduate Courses

  • NET3004 Data Structures (3rd Year, Fall Term)
  • NET3006 Network Management and Measurements (3rd Year, Winter Term)
  • PLT3010 Data Structures (3rd Year, Fall Term)