Hao (Frank) Yang, Ph.D.
Assistant Professor
Department of Civil and System Engineering (CaSE)
Johns Hopkins Data Science and AI Institute
Johns Hopkins Institute for Assured Autonomy
Johns Hopkins University, Baltimore, MD
Research Interest:
My research to date has focused on the adaptation and customization of transformative technologies to establish smart and equitable mobility systems including:
a) Smart and Sustainable Cyber-physical Infrastructure System
b) Multimodal Representation learning
c) Transportation Equity and Safety Improvement
I am looking for 2-3 new PhD students starting from Fall 2025. Potential research topics include the intersection of traffic systems with trustworthy AI, multimodal data and Sustainable computing.
If you are interested in joining Johns Hopkins CaSE and working with me, please email your research interests, CV, and transcripts to haofrankyang@jhu.edu
I am happy to host (remote) undergradaute / graduate visitors.
News
Sep. 2023: I will join the Department of Civil and System Engineering at the Johns Hopkins University as an Assistant Professor in the comming summer of 2024.
Sep. 2023: I’m starting my new position as a visiting postdoc-scholar/scientist at the Department of Electrical and Computer Engineering and the NSF AI Institute for Edge Computing Leveraging Next Generation Networks (Athena) at Duke University.
July 2023: I successfully defended my Ph.D. thesis!
Dec. 2022: A new research paper titled “Cooperative Multi-camera Vehicle Tracking and Traffic Surveillance with Edge Artificial Intelligence and Representation Learning” was accepted by Transportation Research Part C, Emerging Technologies.
Dec. 2022: A new research paper titled “Reliability-oriented route generation algorithm for multimodal transport—A perspective from supply chain's reliability enhancement ” was accepted by ASCE's Journal of Transportation Engineering, Part A: Systems.
Nov. 2022: Outstanding Paper Award by IEEE Digital Twins and Parallel Intelligence conference (IEEE DTPI 2022).
Nov. 2022: I’m co-charing the poster session (calling for abstracts submissions) at the NSF AI Workshop Phase II.
Oct. 2022: Seven papers were accepted by the 2023 TRB Annual meeting. See you in Washington D.C. in Jan. 2023 !
Oct. 2022: A new research paper titled “Cooperative traffic signal assistance system for non-motorized users and disabilities empowered by computer vision and edge artificial intelligence” was accepted by Transportation Research Part C, Emerging Technologies 145, 103896.
Oct 2022: Michael Kyte Outstanding Student of the Year Award, US Department of Transportation University Transportation Center (UTC) for Federal Region 10.
Aug 2022: High-Value Research Award of American Association of State Highway and Transportation Officials (AASHTO) for project ``Real-Time Truck Parking Information Integration, Visualization and Prediction”.
June. 2022: A new research paper titled “Edge-AI-Empowered Parking Surveillance with Quantized Neural Networks” was accepted by IEEE Intelligent Transportation Systems Magazine.
May. 2022: A new research paper titled “Real-Time Crash Identification using Connected Electric Vehicle Operation Data” was accepted by Accident Analysis and Prevention.
Apr. 2022: I’m thrilled to share that I’m starting a new position as a Young Member of Standing Committee on Information Systems and Technology (AED30) at Transportation Research Board: National Academies of Sciences, Engineering, and Medicine!
Apr. 2022: I’m thrilled to share that I continuously serve as a Member of Standing Committee on Trucking Industry Research Committee (AT060) at Transportation Research Board: National Academies of Sciences, Engineering, and Medicine!
Jan. 2022: Our team won the 2nd place for the TRANSFOR22 Data Competition hosted by the Transportation Research Board (TRB) Committee on Artificial Intelligence and Advanced Computing Applications (AED50).
Jan. 2022: I got ten papers accepted by the 2022 Transportation Research Board meeting. Three of them are in the lecture session of Advances in Edge Computing for Intelligent Real-Time Traffic Sensing and Detection. See you in Washington D.C. !
Dec. 2021: A new research paper titled “Traffic-Informed Multi-Camera Sensing (TIMS) System Based on Vehicle Re-Identification“ is accepted by the IEEE Transactions on Intelligent Transportation Systems.
Nov. 2021, A talk about ”Development of a Truck Parking Information Management System (online)”, Session of Facing Challengesto Freight and Port Operations in Washington, on the ITS Washington Conference, Olympia, WA, USA
Oct. 2021, A talk about ”Development of a Truck Parking Information Management System Using Artificial Intelligence in Washington State (online)”, Webinar for Washington State Department of Transportation (WSDOT), Olympia, WA,USA
Oct. 2021: A new research paper titled “Toward a real‐time Smart Parking Data Management and Prediction (SPDMP) system by attributes representation learning“ is accepted by the International Journal of Intelligent Systems.
Sep. 2021: Win the First Place of the 2021 ASCE Bridges Photo Contest, Small Town Bridge track. And it is used as the Cover of the ASCE Bridge calendar 2022 (Click here to buy).
Sep. 2021: A new research paper is accepted by the IEEE Transactions on Intelligent Transportation Systems.
Sep. 2021, A talk about ”A Cost-Effective Solution for Truck Parking Based on Artificial Intelligence”, on the 2021 Western States Rural Transportation Technology Implementers Forum, Yreka, CA, USA
Apr. 2021: I’m thrilled to share that I start to serve as a Young Member of Standing Committee on Standing Committee on Freight Transportation Data (AED70) at Transportation Research Board: National Academies of Sciences, Engineering, and Medicine!
Jan. 2021: A new research paper is accepted by the IEEE Transactions on Intelligent Transportation Systems.
Mar. 2020: Talked about “Multi-camera System for Intelligent Transportation Systems, Opportunities and Challenges“ as a guest lecture for CSE 590 Ubiquitous Computing Seminar.
Jan. 2020: A talk about ”Multi-Camera Multi-Target (MTMC) Vehicle Tracking and Re-identification Framework for Network-scale Traffic Sensing”, University Transportation Center (UTC) Demonstrations, on the USDOT exhibit, Consumer Electronics Show (CES), Las Vagas, NV, USA
Jun. 2019, A talk about ”Multi-View Vehicle Re-Identification using Temporal Attention Model and Metadata Re-ranking, Conference on Computer Vision and Pattern Recognition (CVPR) AI City Workshop, Long Beach, CA, USA
Skills: Python, R, C#, Tensorflow, Pytorch
Languages: Chinese (native), English (advanced)
Hobbies: Photography, Soccer, Saxophone and Drums