Chengyi Qu, Ph.D.

 Edge/Cloud Computing · Cybersecurity · Drone Video Analytics · FANET · Machine Learning

Short Biography

Dr. Chengyi Qu joined FGCU as an Assistant Professor in the Department of Computing & Software Engineering in the fall of 2023. Previously he was a research assistant at the University of Missouri-Columbia and the Department of Energy at Argonne National Lab. Dr. Qu graduated from the University of Missouri-Columbia in 2023 with a Ph.D. in Computer Science. He received his Bachelor's degree in Software Engineering from Northeastern University (China) in 2016.

Chengyi has an impressive publication record, with over 20 peer-reviewed papers in a range of prestigious conference and journal venues. He has even had the honor of presenting his research at the top-tier IEEE INFOCOM conference, showcasing his expertise in the field of networking.

As an Assistant Professor, Chengyi has successfully led teams of graduate, undergraduate, and visiting scholars in a variety of Federal, State, and University projects. His research has also involved collaboration with a diverse range of institutions, including the University of Florida, University of Missouri, U‑Mass Amherst, RENCI, USC ISI, Purdue, U of Chi., U at Buffalo SUNY, Jawaharlal Nehru Technological U, U-Paris, Ritsumeikan university, and Missouri S & T.

Chengyi is also highly engaged in the academic community, serving as a peer-reviewer for several prominent international IEEE/ACM conferences and journals. His expertise is highly valued in the industry, and he has contributed to the peer-review process for TNSM, MobiSys, GlobeCOM, ICCCN, TMC, TSC, CIoT, ICC, JNCA, FGCS, and IM.

Chengyi's passion for education is evident through his experience as a teaching assistant and lab instructor on four EECS courses and three IT courses. He is a dedicated and valued member of the academic community, and his contributions to the field have earned him membership in both the IEEE Student Member and IEEE Communication Society. He earned the Outstanding Ph.D. student award in Mizzou Engineering College in 2023. 

Part of Research Projects

• DroneCOCoNet: Learning-based Edge Computation Offloading and Control Networking for Drone Video Analytics

  • developed awareness models for system awareness, environment awareness, and mobility awarenessin drone swarm application scenarios;

  • created intelligent computation offloading and control networking algorithms to leverage the awareness models to ensure optimal scheduling of data processing tasks across edge, cloud and network resources;

  • applization being used in various drone swarm scenarios: disaster response management, parcel delivery and smart farming.

• DroneNet-Sim: Trace-based Real-world and Simulation Drone Swarm Environment Design and Implementation

  • created hybrid testbeds to address existing knowledge gaps in synergizing simulation and realistic testbed experimentation for drone video analytics applications

  • Synergizing drone and network simulations can provide benefits to experimenters such as the ability to e.g., (a) test various system configurations such as network security protocols and (b) implement different flight algorithms before they are deployed on the field. 

• FlyNet: A Platform to Support Scientific Workflows from the Edge to the Core for UAV Applications

  • support workflows that include applications executing at the network edge, at the computing core, and leverage deeply programmable networks

  • leverage the end-to-end integrated infrastructure that covers all points in the spectrum of response latency for application processing

Detailed CV

Please check the following link for Chengyi Qu's up-to-date CV: Chengyi Qu's CV 

Get in touch at cqu at fgcu dot edu