Xiaofan Jiang

About Xiaofan Jiang

Xiaofan Jiang, With an exceptional h-index of 28 and a recent h-index of 19 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Cyber Physical Systems, Mobile and Embedded Systems, Connected Health and Fitness, Building Energy, Wireless Sensor Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

RASP: A Drone-based Reconfigurable Actuation and Sensing Platform Towards Ambient Intelligent Systems

LLM-based Conversational AI Therapist for Daily Functioning Screening and Psychotherapeutic Intervention via Everyday Smart Devices

Rethinking walkability: Exploring the relationship between urban form and neighborhood social cohesion

RECA: A Multi-Task Deep Reinforcement Learning-Based Recommender System for Co-Optimizing Energy, Comfort and Air Quality in Commercial Buildings

Anemoi: A Low-cost Sensorless Indoor Drone System for Automatic Mapping of 3D Airflow Fields

A Data-Driven and Human-Centric EV Charging Recommendation System at City-Scale

CaNRun: Non-Contact, Acoustic-based Cadence Estimation on Treadmills using Smartphones

ARSteth: Enabling Home Self-Screening with AR-Assisted Intelligent Stethoscopes

Xiaofan Jiang Information

University

Position

Associate Professor of Electrical Engineering

Citations(all)

5501

Citations(since 2020)

1675

Cited By

4547

hIndex(all)

28

hIndex(since 2020)

19

i10Index(all)

48

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Xiaofan Jiang Skills & Research Interests

Cyber Physical Systems

Mobile and Embedded Systems

Connected Health and Fitness

Building Energy

Wireless Sensor Networks

Top articles of Xiaofan Jiang

RASP: A Drone-based Reconfigurable Actuation and Sensing Platform Towards Ambient Intelligent Systems

arXiv preprint arXiv:2403.12853

2024/3/19

LLM-based Conversational AI Therapist for Daily Functioning Screening and Psychotherapeutic Intervention via Everyday Smart Devices

arXiv preprint arXiv:2403.10779

2024/3/16

Rethinking walkability: Exploring the relationship between urban form and neighborhood social cohesion

Sustainable Cities and Society

2023/12/1

Andrew Sonta
Andrew Sonta

H-Index: 5

Xiaofan Jiang
Xiaofan Jiang

H-Index: 18

RECA: A Multi-Task Deep Reinforcement Learning-Based Recommender System for Co-Optimizing Energy, Comfort and Air Quality in Commercial Buildings

2023/11/15

Anemoi: A Low-cost Sensorless Indoor Drone System for Automatic Mapping of 3D Airflow Fields

2023/10/2

A Data-Driven and Human-Centric EV Charging Recommendation System at City-Scale

2023/6/20

CaNRun: Non-Contact, Acoustic-based Cadence Estimation on Treadmills using Smartphones

2023/5/9

ARSteth: Enabling Home Self-Screening with AR-Assisted Intelligent Stethoscopes

2023/5/9

Demo Abstract: Seamless High-Speed Optical Communication for Mobile Wide-Area Using Diffused Infrared Laser

2023/5/9

LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications

2023/5/9

Human-centric data-driven optimization and recommendation in EV-interfaced grid at city scale

2022/11/9

Matthias Preindl
Matthias Preindl

H-Index: 22

Xiaofan Jiang
Xiaofan Jiang

H-Index: 18

AI Stethoscope for Home Self-Diagnosis with AR Guidance

2022/11/6

Ai therapist for daily functioning assessment and intervention using smart home devices

2022/11/6

High-Performance Optimal Power Flow Estimation for EV-Interfaced Microgrids With Standardized Grid Services

IEEE Transactions on Industry Applications

2022/9/15

BuMA: Non-Intrusive Breathing Detection using Microphone Array

2022/7/1

Conversational ai therapist for daily function screening in home environments

2022/7/1

Demo Abstract: A Sensorless Drone-based System for Mapping Indoor 3D Airflow Gradients

Proceedings of the MobiSys

2022/6/27

A sensorless drone-based system for mapping indoor 3D airflow gradients: demo abstract

2022/6/27

A modular and reconfigurable sensing and actuation platform for smarter environments and drones: demo abstract

2022/6/27

Deep reinforcement learning based approach for optimal power flow of microgrid with grid services implementation

2022/6/15

See List of Professors in Xiaofan Jiang University(Columbia University in the City of New York)

Co-Authors

academic-engine