Hao Yang

Hao Yang is an Associate Professor in the Department of Civil Engineering at McMaster University, specializing in Intelligent Transportation Systems and Connected Vehicle Technologies. His research focuses on optimizing traffic flow, enhancing eco-driving strategies, and developing centralized control systems for urban mobility.

• Key areas: Traffic Flow Modeling, V2X Communication, Spatiotemporal Data Analysis

Scientific Contributions: Recent publications analyze deep reinforcement learning for vehicle merging, macroscopic fundamental diagrams for congestion prediction, and multi-algorithmic ensemble models for traffic speed forecasting. His work spans hybrid physics-ML approaches and real-time traffic management systems.

Teaching: Instructs courses including Pavement Materials and Design (CIVENG 4G04/6G04), Surveying for Transportation (CIVENG 2A03), and Travel Demand Analysis (CIVENG 711).