Huadong (Joshua) Meng

Dr. Huadong (Joshua) Meng is an Associate Research Engineer with the California PATH program at the University of California, Berkeley. He received his B.S. and Ph.D. in Electronic Engineering from Tsinghua University, Beijing, China, in 1999 and 2004, respectively. In 2004, he joined the faculty of Tsinghua University, where he was an Associate Professor in the Department of Electronic Engineering until 2015. Additionally, Meng has been an IEEE senior member since 2014, he was a Technical Program Committee (TPC) member of the IET International Radar Conference in 2013 and 2015.

Research Interests:

• Statistical Signal Processing

Signal processing for perception and localization

Compressive sensing and convex optimization

• Advanced Transportation Systems

Multi-spectrum sensor fusion

Environment Perception and Safety of CAV

• Transit Operations and Optimization

On-demand and dynamic transit

Customer-oriented accessible transportation

Recent Research Projects:

• “Digital Mobility Assistant for Transit Users with Disabilities”, Caltrans DRISI research project. 2022-present

The project aims to construct a knowledge graph (KG) that will continuously expand and encompass disabled travelers’ requirements, limitations, preferences, points of interest, and transportation services such as transit, paratransit, and private firms. The KG will incorporate essential information on their hours of operation, geographic coverage, fees, and other pertinent details.

• “Development and Demonstration of Integrated Dynamic Transit Operations (IDTO) System Phase I, II and II+”, Caltrans DRISI research project. 2016-2022

Dynamic transit operations, including Dynamic Dispatch (T-DISP) and Connection Protection (T-CONNECT) can substantially improve transit service quality by providing faster, more convenient and cost-effective trips to the traveling public. T-CONNECT enables public transportation providers and travelers to communicate improving the probability of successful transit transfers. T-DISP application scenarios are intended to adjust transit operation to be more responsive to travelers demand and traffic conditions.

• “An Interactive Transit Station Information System (ITSIS) Using Connected Vehicle Technologies”, Federal Transit Administration Research Program. 2016-2017

By using Connected Vehicle technologies to enable real-time interaction between passengers and transit systems at bus stations, the Interactive Transit Station Information System (ITSIS) can provide improved information to transit travelers during their trips and allow dynamic transit operations to better serve them. A prototype has been developed to test the concept.

• “ECO-Approach Research for Actuated Traffic Signals”, Federal Highway Administration Exploring Advanced Research Program. 2015-2016

Publications:

Dr. Meng has published over 100 academic papers in the field of statistical signal processing, sensor fusion for perception, and intelligent transportation systems. Refer to Meng’s Google Scholar.