Prospective students: I am actively looking for self-motivated students who interested in ubiquitous sensing and applied machine learning. Please drop me an email if you're excited!
I am fortunate to work with the folloiwng talents. Their motivation and curiosity to explore the unknown are the eternal driving forces of our team.
Much of my thesis work focuses on empowering the next-generation transportation ecosystem that is comprised of vehicles, environment, and humans. This research includes a suite of novel and scalable sensing technologies for facilitating safer and more efficient transportation that has a profound impact on people.
The synergy of my thesis works is illustrated in the above figure. My research investigated ubiquitous sensing, vehicular system, and wireless communication. These three elements are cornerstones for tackling real-world challenges on our roads.
Sept. 2019, Talk
LibreCAN: Automated CAN Message TranslatorCCS 2019
LibreCAN can be used for automated translation of in-vehicle data, thus making the data flow in cars "transparent" to developers. In the future, we may be able to build apps on cars as easy as developing apps on smartphones!Paper | Website
TurnsMap: Enhancing Traffic Safety with Crowdsensing and Deep LearningUbiComp 2019
This work presents TurnsMap, an IoT + AI framework for automatically detecting if a left turn is safe, e.g., whether it has protection for left-turning cars. Democratizing this information can help assure traffic safety for various transportation applications, e.g., navigation and ride-sharing apps.Paper | Website | Slides
Mobile IMUs Reveal Driver's Identity from Vehicle TurnsArXiv Preprint, 2017
This work presents Dri-Fi, a solution that enables automotive apps to identify the person behind-the-wheel by only using mobile sensors. The capability of identifying driver is essential for personalized service/assistance for the driver and his/her designated parties, thus can benefit various automotive appsPaper
Locating and Tracking BLE Beacons with SmartphonesCoNEXT, 2017
LocBLE is able to locate specific location of any surrounding Bluetooth low energy (BLE) beacons by justing using your smartphone. Comparing to existing coarse-grained BLE ranging applications, LocBLE is capable of enabling various use cases in Internet-of-Things. This is a collaborative work with Hewlett Packard Labs during my internship.Paper | Demo | Slides
Invisible Sensing of Vehicle Steering with SmartphonesMobiSys, 2015
This work introduced a vehicle steering detection middleware called V-Sense which can run on commodity smartphones without additional sensors or infrastructure support.Paper | Demo | Slides
Vulnerability and Protection of Channel State Information in Multiuser MIMO NetworksCCS, 2014
This work investigated vulnerability in MU-MIMO. Focus on plaintext feedback of estimated channel state information (CSI) from clients to the APs. We have found a malicious user could use sniff attack power attack by utilizing the vulnerability in existing CSI feed scheme.Paper
I enjoy the teamwork and hustle in competitive sports, especially basketball. Read more from my blog post.