Steve Drew

Steve Drew

Ph.D.

I am Steve Drew (He Zhu, 祝贺). I am an Assistant Professor of the Department of Electrical and Software Engineering, University of Calgary, where I am head of the Distributed Edge LearNing and Orchestration Systems Lab, a.k.a DENOS Lab. In 2018, I founded BitQubic, a start-up company in Ottawa with the focus on digital assets management, trading and brokerage technologies. From 2014 to 2018, I was a Senior Cloud Engineer at Cisco NFV Group.

I received my Ph.D. in Electrical and Computer Engineering from Carleton University in 2018. I have a broad research interest including distributed learning systems, federated learning, AIOps, edge computing, and cloud-native initiatives for blockchain services.

Students

News

  • [Sep 2021] I am actively recruiting fully funded PhD students and MSc students. If you are interested, use the links to start an application. Hurry up! The spots are limited.

  • [May 2021] Our paper “EdgePV: Collaborative Edge Computing Framework for Task Offloading” has been accepted to IEEE ICC’21 and awarded Student Grant. This paper is in collaboration with Prof. Changcheng Huang from Carleton University. It is one of the research outcomes for the NSERC Engage Grant.

  • [Oct 2020] Our paper “Collaborative Container-based Parked Vehicle Edge Computing Framework for Online Task Offloading” has been accepted to IEEE CloudNet’20. This paper is in collaboration with Prof. Changcheng Huang from Carleton University. It is one of the research outcomes for the NSERC Engage Grant.

  • [Sep 2020] The fall term of 2020 starts at Carleton U! This term will be quite different as everything is moving online. I will be teaching NET2008 - DevOps.

  • [Mar 2020] I am invited to give a talk at University of Calgary with the title “Edge Computing Resource Management for Data-intensive Applications”.

  • [Feb 2020] I am invited to give a talk at Carleton University with the title “Containers, Kubernetes and Edge Computing”. The audience include both forth-year undergraduate students and graduate students. Credit to Prof. Chung-Horng Lung for the invitation and organization.

  • [Nov 2019] Our paper “Shoreline: Data-Driven Threshold Estimation of the Online Reserves of Cryptocurrency Trading Platforms” has been accepted to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) for oral presentation. This paper is in collaboration with Prof. Jiayu Zhou’s Illidan Lab from Michigan State University.

  • [Oct 2019] BitQubic has partnered with Prof. Changcheng Huang from Carleton University to conduct research on extensible and reliable edge computing infrastructure powered by blockchain and container orchestration technologies. This partnership has received funding awards from NSERC.

Publications

  1. K. Nguyen, S. Drew, C. Huang and J. Zhou, “EdgePV: Collaborative Edge Computing Framework for Task Offloading”, IEEE ICC’21, June 2021.

  2. K. Nguyen, S. Drew, C. Huang and J. Zhou, “Collaborative Container-based Parked Vehicle Edge Computing Framework for Online Task Offloading”, The 9th IEEE International Conference on Cloud Networking (CloudNet’20), Nov 2020.

  3. X. Zhang, H. Zhu and J. Zhou, “Shoreline: Data-Driven Threshold Estimation of the Online Reserves of Cryptocurrency Trading Platforms”, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI’20), Feb 2020, New York.

  4. J. Zhou, F. Tang, H. Zhu, N. Nan and Z. Zhou, “Distributed Data Vending on Blockchain”, 2018 IEEE International Conference on Blockchain (Blockchain’18), Halifax, Canada.

  5. H. Zhu, C. Huang, and J. Zhou, “EdgeChain: Blockchain-based Multi-vendor Mobile Edge Application Placement”, IEEE 4th International Conference on Network Softwarization (NetSoft’18), June 25-29, 2018, Montreal, Canada.

  6. H. Zhu and C. Huang, “IOT-B&B: Edge-Based NFV for IoT Devices with CPE Crowdsourcing”, Wireless Communications and Mobile Computing, vol. 2018. doi:10.1155/2018/3027269.

  7. H. Zhu and C. Huang, “VNF-B&B: Enabling Edge-based NFV with CPE Resource Sharing”, IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC’17), October 8-13, 2017, Montreal.

  8. H. Zhu and C. Huang, “EdgePlace: Availability-aware Placement for Chained Mobile Edge Applications”, Transactions on Emerging Telecommunications Technologies, Wiley.

  9. H. Zhu and C. Huang, “Availability-aware Mobile Edge Application Placement in 5G Networks”, IEEE Globecom 2017, December 4-8, 2017, Singapore.

  10. H. Zhu and C. Huang, “Cost-Efficient VNF Placement Strategy for IoT Networks with Availability Assurance”, IEEE 86th Vehicular Technology Conference (VTC-Fall’17), September 2017, Toronto.

  11. H. Zhu and C. Huang, “Vulnerability Evaluation for Securely Offloading Mobile Apps in the Cloud”. IEEE 2nd International Conference on Cloud Networking (CloudNet’13), 2013.

  12. H. Zhu, D. Li and L. Cui, “DLING: A Distributed Mobile Sink Guiding Scheme for Sensor Networks”. IEEE International Conference on Communications (ICC’10), South Africa.

  13. D. Li, Z. Zhao, L. Cui, H. Zhu, L. Zhang, Z. Zhang, Y. Wang, A Cyber Physical Networking System for Monitoring and Cleaning up Blue-green Algae Blooms with Agile Sensor and Actuator Control Mechanism on Lake Tai. The 1st International Workshop on Cyber-Physical Networking Systems (CPNS’11) in conjunction with INFOCOM 2011, Shanghai, China, Apr, 2011.

  14. D. Li, Z. Zhao, L. Cui, H. Zhu, L. Zhang, Z. Zhang, and Y. Wang, The Design and Implementation of a Surveillance and Self-Driven Cleanup System for Blue-green Algae Bloom on Lake Tai. IEEE 7th International Conference on Mobile Ad-hoc and Sensor Systems (MASS’10), Demo Paper, pages 759-761, San Francisco, CA, USA, Nov., 2010.

  15. L. Zhang, D. Li, H. Zhu, L. Cui, “OPEN: An Optimization Scheme of N-node Coverage in Wireless Sensor Networks”. IET 1st International Conference on WSNs (IET-WSN’10), Beijing, China, November, 2010.

  16. H. Chen, L. Cui, H. Zhu and C. Huang, “EasiSim: A Scalable Simulation Platform for Wireless Sensor Networks”. IEEE 13th International Workshop on Computer-Aided Modeling, Analysis and Design of Communication Links and Networks (CAMAD’08).

Patents

  1. R. Kuang, S. Xavier, D. Mann, H. Zhu, Y. Wang, Y. Ding, “Method and system for authorizing secure electronic transactions using a security device having a quick response code scanner”, U.S. Patent-9608988. Filed May 2015, Granted Mar 2017.

  2. R. Kuang, S. Xavier, D. Mann, H. Zhu, Y. Wang, Y. Ding, “Method and system for authorizing secure electronic transactions using a security device”, U.S. Patent-9548978. Filed May 2015, Granted Jan 2017.

  3. R. Kuang, S. Xavier, D. Mann, R. Steklasa, S. Wilson, H. Zhu, N. Bettenburg, “Method and system for authenticating a security device”, U.S. Patent-9485254. Filed Mar 2015, Granted Nov 2016.

  4. R. Kuang, S. Xavier, R. Steklasa, S. Wilson, H. Zhu, “System and method for secure remote access to a service on a server computer”, U.S. Patent-9166975. Filed June 2014, Granted Oct 2015.

  5. R. Kuang, S. Xavier, R. Steklasa, S. Wilson, H. Zhu, “System and method for secure remote access”, U.S. Patent-8739252. Filed Feb 2013, Granted May 2014.