胡伟
Name (Pinyin):huwei
School/Department:人工智能学院（未来技术学院、人工智能产业学院）
Education Level:With Certificate of Graduation for Doctorate Study
Business Address:信息科技大楼A1707
Gender:Male
Contact Information:huwei@nuist.edu.cn huwe0015@e.ntu.edu.sg
Degree:Doctoral Degree in Philosophy
Status:在岗
Alma Mater:新加坡南洋理工大学
Honors and Titles:
2023-04-17 2022 Buildings Best Paper Awards
2020.8 -- 2024.10
南洋理工大学 Nanyang Technological University, Singapore Computer Applications Technology 博士 Doctoral Degree in Philosophy 计算机辅助工程及可视化实验室
2019.8 -- 2020.6
南洋理工大学 Nanyang Technological University, Singapore 供应链与物流管理 硕士 Master's Degree in Science
2015.9 -- 2019.7
中南大学 Central South University, China Traffic and Transportation Engineering 本科 Bachelor's Degree in Engineering
设备故障诊断与预测，风速预测 ，风光发电功率预测
基于建筑信息模型的三维点云重建
基于社交网络分析的建筑信息模型优化
数字孪生驱动的预测性维护
智能建造
智能运维
PostalAddress :
Telephone :
Email :
2025.1 -- Now
南京信息工程大学 人工智能学院（未来技术学院） 在岗
Description of Research Group: https://faculty.nuist.edu.cn/jiangfeng/zh_CN/zdylm/212268/list/index.htm
Wei Hu
Male, Ph.D., Han ethnicity, originally from Ordos, Inner Mongolia.
Wei Hu is currently with the School of Artificial Intelligence (Future Technology School), Nanjing University of Information Science and Technology, affiliated with the Department of Big Data and Data Science and the Data Science & Intelligent Equipment Research Center.
He received his Ph.D. degree in October 2024 from Nanyang Technological University, Singapore (Computational Engineering & Visualization Laboratory). He obtained his M.Sc. degree in June 2020 from Nanyang Technological University, and his B.Eng. degree in July 2019 from Central South University, China.
His main research interests include deep learning, digital twin, time-series forecasting, social network analysis, fault diagnosis and predictive maintenance, and cross-disciplinary applications of digital twin and artificial intelligence.
To date, he has published more than ten high-quality papers in prestigious journals and conferences, with six as first author or corresponding author. His works have appeared in top journals such as Energy & Buildings and Journal of Building Engineering. His research has been cited over one hundred times on Google Scholar, and he received the Best Paper Award from the journal Buildings in 2022.
Google Scholar: https://scholar.google.com/citations?user=HFEOQocAAAAJ&hl=en
Dr. Hu has recently been invited to serve as the Workshop Chair for “Intelligent Perception and Analytical Applications of Artificial Intelligence in Big Data” at the 3rd IEEE International Conference on Big Data and Data Mining (IEEE BDDM 2025). Submissions and participation are warmly welcomed.
Conference Link: https://www.icbddm.org/big-data/
Workshop 3 Submission Link: https://ocs.academicenter.com/submission/stepone?conf_id=1924286850383384576&workshop_id=1924288099071754240
Indexing: IEEE Xplore / EI Compendex / Scopus
Dr. Hu welcomes motivated students interested in deep learning, time-series forecasting, and related research directions to join his group. The team maintains close collaborations with The Hong Kong Polytechnic University and Nanyang Technological University, Singapore, in both publications and research projects.
Undergraduate Opportunities: Students from the second year and above are welcome to participate in research projects.
Graduate Opportunities: Applications for professional master’s students in Artificial Intelligence are open.
As-built Building Information Modeling and Cyber-Physical Data-driven Predictive Maintenance Methods, Jiangsu Provincial Natural Science Foundation – Youth Fund, 2026.01–2028.12, Principal Investigator.
Fault Prediction Models Based on Deep Learning, Talent Start-up Research Grant, 2025.01–2027.12, Principal Investigator.
