Research Project: BesoEdge

Project page for CRII: With Uncertainty Comes Opportunity: Providing Best-Effort Edge Services with Uncertain and Limited Resources

Outcomes: 

1. Research:

   • Edge Computing Systems: 

 -Edge Cache on WiFi Access Points: Millisecond-Level App Latency Almost for Free, ICDCS'24 Distinguished Paper Award

 -Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM, NIPS'23

 -From Tight Coupling to Flexibility: A Digital Twin Middleware Layer for the ShakeAlert System, SEC'23 Workshop

 -BMEye: Public Health-Oriented Body Mass Index Monitoring using Commodity WiFi, WF-IoT'23

 -Enhancing Smartphone-based Walking Direction Estimation with Passive WiFi Sensing, MASS'23

1. • Service-oriented architecture: 

 -“How Can I Be of Service?”—A Comprehensive Analysis of Web Service Integration Practices, ICWS'24

 -A Meta-Pattern for Building QoS-Optimal Mobile Services out of Equivalent Microservices, SOCA 2024

 -Decoding and Answering Developers’ Questions about Web Services Managed by Marketplaces, SSE'24

1. • Education (Project-based Learning): 

 -Generative-AI Assisted Feedback Provisioning for Project-based Learning in CS Courses, ASEE'24

 -A PBL-based Mini Course Module for Teaching Computer Science Students to Utilize Generative AI for Enhanced Learning, FIE'24

 -WIP:A Study Report in a Web Technologies Course: What Makes Feedback Effective for Project-based Learning? ASEE'23

[More papers under submission...]

2. Education: 

   • Developed an Edge Computing Course (Materials, Report)

   • Student enrollment: 9 in 2022, 12 in 2023, and 41 in 2024, with teaching evaluations being 4.7, 4.9, 4.8 out of 5. 

3. Student Training: 

• Undergraduate Research: 

-Drone-Car Collaboration: An Emerging Domain for Intelligent Transportation Systems, ITSC'23

-Extending Automotive Vision System by Unmanned Aerial Vehicles (MOST"23 Poster)

-SensingBay: An Affordable Roadside Sensing System for Student Vehicle Competitions, VTC'23

 -MQTT-EES: Optimizing Energy Efficiency by Aggregating Sensing Tasks on IoT Devices, VTC'24

4. Outreach: 

   • Attended MiCareerQuest SE'23 as educational exhibitor with undergraduate students: Olivia Pellegrini, Ryan Sauer, and Jonathan Schall

5. Lab Building: 

   • 2 Clover COEX Drones

   •  30 Raspberry Pis (Pi 4 and Pi 5), with cameras and sensors