Xiaofan (Fred) Jiang joined Columbia's tenured faculty in 2023.
He is an Associate Professor of Computer Science. An interdisciplinary computer scientist and electrical engineer, his research aims to embed intelligence in mobile and wearable devices, as well as built environments, to help improve urban safety, health, and energy efficiency.
In his paper, “Improving Pedestrian Safety in Cities using Intelligent Wearable Systems,” Jiang proposes an acoustic-based wearable system that utilizes embedded machine learning to alert pedestrians to dangers while walking. In another paper, “A Deep-Reinforcement-Learning-Based Recommender System for Occupant-Driven Energy Optimization in Commercial Buildings,” Jiang and his collaborators propose technology to reduce energy consumption in a building through an intelligent system that makes recommendations to occupants on how to conserve heating and cooling resources and optimize energy use.
Among his honors, Jiang has received an NSF CAREER Award and several best papers, best demos, and best presentation awards at leading conferences in the field. He serves as the Vice Chair of ACM SIGEnergy and area editor of ACM EIR and ACM HEALTH journal.
He earned his PhD at the University of California, Berkeley before joining the Columbia faculty in 2015 and earning tenure in 2023.