Shuocheng Guo, Ph.D.
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Applied Scientist at Amazon |
About Me
I am currently working as an Applied Scientist at Amazon, based in San Diego, CA.
I earned my Ph.D. in Transportation System Engineering (TSE) from The University of Alabama (UA). My advisor was Dr. Xinwu Qian (now at Rice University). For OR-related work, I worked closely with Dr. Iman Dayarian from the Culverhouse College of Business at UA.
During my Ph.D. journey, I was actively involved in the growth of the Alabama Transportation Institute (ATI), where I contributed to multiple DOT projects. I was a primary contributor of an EV simulation platform and the Electric Bus Program for UA Crimson Ride. I am deeply thankful for the generous support and assistance provided by ATI.
Related Experience
Amazon - POD Tech, San Diego, CA (2025.2 - Now)
Applied Scientist (2025.11 - Now)
Research Scientist (2025.2 - 2025.11)
Amazon - AFT, Bellevue, WA (2024.6 - 2024.9)
Research Scientist Intern
Delta Air Lines - ODDS, Atlanta, GA (2024.1 - 2024.5)
Ph.D. Intern, Decision Scientist in Optimization
Education Background
The University of Alabama, Tuscaloosa, AL (2020.8 - 2024.12)
Ph.D. in Transportation Systems Engineering
Advisor: Dr. Xinwu Qian
University of Illinois at Urbana-Champaign, Urbana, IL (2018.8 - 2020.5)
M.S. in Transportation Systems Engineering
Advisor: Dr. Eleftheria Kontou
Central South University, Changsha, China (2015.9 - 2018.6)
B.S. in Civil Engineering
Recent Publications
You can view a detailed list of my publications on my Google Scholar Profile.
S. Guo, I. Dayarian, J. Li, X. Qian, “Solving the Equitable Dial-a-Ride Problem using a Branch-cut-and-price Algorithm”, Transportation Research Part B: Methodological, 2025. ScienceDirect
S. Guo and X. Qian, “Optimal Drive-by Sensing in Urban Road Networks with Large-scale Ridesourcing Vehicles”, IEEE Transactions on Intelligent Transportation Systems, 2024. IEEE Explore
S. Guo, H. Chen, M. Rahman, and X. Qian, “DCA: Delayed Charging Attack on the Electric Shared Mobility System”, IEEE Transactions on Intelligent Transportation Systems, 2023. IEEE Explore
S. Guo, X. Qian, S. Dasgupta, M. Rahman, and S. Jones, “Sensing and monitoring of urban roadway traffic state with large-scale ridesourcing vehicles”, The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems, Book Chapter, 2022. ScienceDirect
S. Guo and E. Kontou, “Disparities and equity issues in electric vehicles rebate allocation”, Energy Policy, 2021. Code ScienceDirect
News
11/2025 I started working as an Applied Scientist at Amazon POD Tech.
10/2025 I presented my Amazon intern project at the INFORMS 2025 Annual Meeting in Atlanta, GA.
6/2025 One paper was accepted by JTG. Thanks to Zihe for continuing to polish and revise the draft.
2/2025 I joined Amazon as a Research Scientist.
1/2025 One paper was accepted by TR Part B.
1/2025 I presented my learning-based BPC work at a lectern session at TRBAM 2025 on Monday, January 6, 2025, from 1:30 pm - 3:15 pm EST.
10/2024 I gave a talk on “an unsupervised learning-based branch-and-price algorithm for the Dial-A-Ride Problem” at the INFORMS 2024 Annual Meeting.
9/2024 I completed my internship at Amazon.
6/2024 I joined Amazon as an RS intern.
5/2024 I gave a talk at an ITE webinar on equity-related transit research.
5/2024 I successfully passed my Ph.D. final defense. It was a wonderful and rewarding Ph.D. journey at Alabama, which will always be my sweet home. Roll Tide!
4/2024 One paper was accepted by IEEE Transactions on ITS.
1/2024 I joined Delta Air Lines as a Ph.D. Intern on the Optimization Team.
12/2023 I passed the proposal defense.
10/2023 I presented my research at the 2023 INFORMS Annual Meeting in Phoenix, AZ.
6/2023 One paper was accepted by IEEE Transactions on ITS.
4/2023 I was recognized as the 2023 Outstanding PhD Researcher in the CCEE Department at UA. Roll Tide!
1/2023 At TRB 2023, I attended the Transit Data Challenge and presented in one poster session and one lectern session in Washington, DC.
11/2022 Our paratransit study was selected as a finalist in the TRB 2023 Transit Data Challenge, and a demo was provided here.
10/2022 Four papers were accepted by TRBAM 23 (three lectern sessions and one poster).
10/2022 I passed the qualifying exam.
10/2022 I gave one flash talk and presented one poster at the INFORMS Annual Meeting 2022 link].
10/2022 One paper was accepted by TR Part C.
8/2022 I presented at the INFORMS Conference on Security 2022 link].
8/2022 One paper was presented at BTR 4.
7/2022 One paper was accepted by TR Part C.
7/2022 One paper was accepted by TR Part D.
4/2022 One paper was accepted by TR Part A.
1/2022 Four papers were presented at TRBAM 22.
8/2021 One paper was presented at WSTLUR 21 link].
8/2021 One paper was presented at BTR 3.
1/2021 One paper was presented at TRBAM 21.