About Me
I am currently a Senior Data Scientist at Fidelity Investments.
I hold a Ph.D. degree in Civil Engineering and an M.S. degree in Computer Science, both from University at Buffalo, the State University of New York. My research interests include Machine Learning and Deep Learning with their applications in Transportation, Healthcare, Energy and Finance.
Click here to download my Curriculum Vitae.
News
- 03/2021, I joined Team Asset Management and Artificial Intelligence, Fidelity Investments
- 09/2018, I joined Goergen Institute for Data Science, University of Rochester.
- 10/2017, I joined Nextrans Center, Purdue University.
Education
- 08/2010 - 02/2015: University at Buffalo, the State University of New York.
PhD in Transportation Systems Engineering.
Research area: Transportation Big Data, supervised by Professor Adel W. Sadek and Dr. Qian Wang. - 01/2013 - 09/2014: University at Buffalo, the State University of New York.
Master of Computer Science and Engineering. - 09/2008 - 06/2010: Beijing Jiaotong University, China.
Master of Systems Engineering. - 09/2004 - 06/2008: Beijing Jiaotong University, China.
Bachelor of Traffic and Transportation Engineering.
Publications
Conferences
MCFlow: Monte Carlo Flow Models for Data Imputation [code]
Trevor Richardson, Wencheng Wu, Lei Lin, Beilei Xu, and Edgar Bernal. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Journals
[J15] Vehicle Trajectory Prediction Using LSTMs with Spatial-Temporal Attention Mechanisms
Lei Lin , Weizi Li, Huikun Bi, and Lingqiao Qin. IEEE Intelligent Transportation Systems Magazine , 2020.
[J14] Intelligent Service Capacity Allocation for Cross-Border-E-Commerce Related Third-Party-Forwarding Logistics Operations: A Deep Learning Approach
Shuyun Ren, Tsan-Ming Choi, Ka-Man Lee, and Lei Lin. Transportation Research Part E: Logistics and Transportation Review, 2020.
[J13] Efficient Data Collection and Accurate Travel Time Estimation in a Connected Vehicle Environment Via Real-Time Compressive Sensing
Lei Lin, Weizi Li, Srinivas Peeta. Journal of Big Data Analytics in Transportations, 2019.
[J12] A novel dynamic pricing scheme for a large-scale electric vehicle sharing network considering vehicle relocation and vehicle-grid-integration
Shuyun Ren, Fengji Luo, Lei Lin, Shu-Chien Hsu, Xuran Ivan Li. International Journal of Production Economics, 2019.
[J11] A cohesion-based heuristic feature selection for short-term traffic forecasting
Lishan Liu, Ning Jia, Lei Lin, Zhengbing He. IEEE Access, 2019.
[J10] Predicting Station-level Hourly Demand in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach
Lei Lin, Zhengbing He, Srinivas Peeta. Transportation Research Part C: Emerging Technologies, 2018.
[J9] Quantifying uncertainty in short-term traffic prediction and its application to optimal staffing plan development
Lei Lin, John C Handley, Yiming Gu, Lei Zhu, Xuejin Wen, Adel Sadek. Transportation Research Part C: Emerging Technologies, 2018.
[J8] Prediction of individual social-demographic role based on travel behavior variability using long-term GPS data
Lei Zhu, Jeffery Gonder, Lei Lin. Journal of Advanced Transportation, 2017.
[J7] A combined M5P tree and hazard-based duration model for predicting urban freeway traffic accident durations
Lei Lin, Qian Wang, Adel Sadek. Accident Analysis and Prevention, 2016.
[J6] Modeling the impacts of inclement weather on freeway traffic speed: exploratory study with social media data
Lei Lin, Ming Ni, Qing He, Jing Gao, Adel Sadek. Transportation Research Record, 2015.
[J5] A novel variable selection method based on frequent pattern tree for real-time traffic accident risk prediction
Lei Lin, Qian Wang, Adel Sadek. Transportation Research Part C: Emerging Technologies, 2015.
[J4] Border crossing delay prediction using transient multi-server queueing models
Lei Lin, Qian Wang, Adel Sadek. Transportation Research Part A: Policy and Pratice, 2014.
[J3] Data Mining and Complex Networks Algorithms for Traffic Accident Analysis
Lei Lin, Qian Wang, Adel Sadek. Transportation Research Record, 2014.
[J2] On-line prediction of border crossing traffic using an enhanced Spinning Network method
Lei Lin, Qian Wang, Adel Sadek. Transportation Research Part C: Emerging Technologies, 2013.
[J1] Short-term forecasting of traffic volume: evaluating models based on multiple data sets and data diagnosis measures
Lei Lin, Qian Wang, Adel Sadek. Transportation Research Record, 2013.
Technical Report
[T1] Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network
Lei Lin , Weizi Li, and Lei Zhu. 2020.
Service
Editor
Reviewer (Journals)
- IEEE Access
- IEEE Transactions on Intelligent Transportation Systems
- IEEE Transactions on Computational Social Systems
- IEEE Intelligent Transportation Systems Magazine
- IET Electronics Letters
- IET Intelligent Transportation Systems
- IET Science Measurement \& Technology
- International Journal of Communication Systems
- International Journal of Modern Physics B
- Journal of the Operational Research Society
- Journal of Advanced Transportation
- Journal of Selected Topics in Signal Processing
- Journal of Intelligent Transportation Systems
- Journal of Traffic and Transportation Engineering
- Journal of Transport Geography
- Journal of Transportation Safety \& Security
- Mathematical Problems in Engineering
- PLOS ONE
- Safety Science
- Scientia Iranica
- Transactions on Knowledge and Data Engineering
- Transportation Research Part B: Methodological
- Transportation Research Part C: Emerging Technologies
- Transportation Research Part E: Logistics and Transportation Review
Reviewer (Conferences)
- ITS America 2016.
- 2019 Transportation Research Board 98th Annual Meeting.
- 2018 Transportation Research Board 97th Annual Meeting.
- 2017 Transportation Research Board 96th Annual Meeting.
- 2016 Transportation Research Board 95th Annual Meeting.
- the 21st International IEEE Annual Conference on Intelligent Transportation Systems (ITSC18).
- the 18th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC15).
- the 17th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC14).
- the 15th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC12).
- the 18th COTA International Conference of Transportation Professionals (CICTP 2018).
- the 17th COTA International Conference of Transportation Professionals (CICTP 2017).
- the 16th COTA International Conference of Transportation Professionals (CICTP 2016).
- the 15th COTA International Conference of Transportation Professionals (CICTP 2015).
- the 14th COTA International Conference of Transportation Professionals (CICTP 2014).
- the 11th International Conference of Chinese Transportation Professionals (ICCTP2011).
Awards
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December, 2015 - My paper “Modeling the Impacts of Inclement Weather on Freeway Traffic Speed: An Exploratory Study Utilizing Social Media Data” is reported by the Washington Post, the Accuweather, WBFO | Buffalo’s NPR News Station, and other over 30 Media.
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June, 2014 - My paper “Android Smartphone Application for Collecting, Sharing and Predicting the Niagara Frontier Border Crossings Waiting Time” is selected as the winner of the ITS-NY 2014 Best Student ITS Paper Competition.
Contact
Email: Lei.Lin@ieee.org