Enbo Zhou

Ph.D. · UC Santa Barbara

Spatial Optimization & GeoAI · Geography Department, UC Santa Barbara

I am a geographer and data scientist working at the intersection of spatial optimization, GeoAI, and remote sensing. My research focuses on spatial representation learning, explainable AI, and the design and evaluation of spatial decision-support systems for complex urban and environmental problems.

GeoAI Spatial Optimization Facility Siting Spatial Representation Learning Self-supervised Learning Remote Sensing
News
Recent updates
  • Jan 2025
    My new paper titled “Locating and Orienting Facilities with Anisotropic Coverage” has been published in Computers, Environment and Urban Systems.
  • Jul 2024
    My new paper titled “Facility Layout and Spatial Configuration Efficiency Assessment” has been published in Networks and Spatial Economics.
  • Jun 2024
    I graduated from UC Santa Barbara with a PhD in Geography.
  • Jan 2024
    My new paper titled “Mapping 3-D classroom seats based on partial object point cloud completion” has been accepted in Cartography and Geographical Information Science (CaGIS).
  • Jan 2024
    One coauthored paper titled “Balancing Workloads through Co-location in Covering Problems” has been published in Geographical Analysis.
  • Oct 2023
    I received a certificate from the Summer Teaching Institute for Associates at UC Santa Barbara.
  • Aug 2023
    My mentee Lyndsey Umsted in the data science capstone class will present our project “Understanding and modeling human mobility response to California wildfires” at SIGKDD 2023 SoCal Data Science Day.
  • Aug 2023
    I joined the Climate Hazards Center at UCSB as a graduate student researcher to help climate scientists correct station precipitation observations using statistics and machine learning.
  • Jun 2023
    I will teach GEOG W12 Maps and Spatial Reasoning and CMPSC 16 Problem Solving with C++ in Summer 2023.
  • Dec 2022
    I finished a software engineering intern (machine learning) on geo-document retrieval at Google.
  • Sep 2022
    I finished a PhD software engineering intern (machine learning) in the Ads Core ML team at Meta Inc.
  • Sep 2021
    I finished a research engineering intern (computer vision) on object detection at Uber AI and received a full-time L4 return offer.
Research Interests
GeoAI & spatial optimization

I work broadly in GeoAI and spatial optimization, with an emphasis on methods that are both scalable and interpretable for real-world decision making.

GeoAI Spatial representation learning Self-supervised learning Explainable AI Remotely sensed data information extraction Facility siting & layout Heuristics for non-convex optimization
Selected Publications
Peer-reviewed work
  • Locating and orienting facilities with anisotropic coverage
    Enbo Zhou, Alan T. Murray, Jiwon Baik, Jing Xu
  • Facility Layout and Spatial Configuration Efficiency Assessment
    Enbo Zhou, Alan T. Murray
  • Mapping 3-D classroom seats based on partial object point cloud completion
    Enbo Zhou, Alan T. Murray, Jiwon Baik
  • Balancing Workloads through Co-location in Covering Problems
    Jing Xu, Alan T. Murray, Richard L. Church, Ran Wei, Hongchu Yu, Jiwon Baik, Enbo Zhou
  • LiDAR Data Segmentation using Deep Learning for Indoor Mapping
    Enbo Zhou, Keith C Clarke, Joel Salzman, Haoyu Shi, Bryn Morgan
    AutoCarto 2020 (Oral presentation)
  • Overview of Contributions in Geographical Analysis: Waldo Tobler
    Alan T Murray, Jing Xu, Jiwon Baik, Susan Burtner, Seonga Cho, Evgeny Noi, B Amelia Pludow, Enbo Zhou
  • PAM spatial clustering algorithm research based on CUDA
    Enbo Zhou, Shanjun Mao, Mei Li, Zhenming Sun
    Geoinformatics 2016 (Oral presentation)
  • Investigating street accident characteristics and optimal safe route recommendation: A case study of New York City
    Enbo Zhou, Shanjun Mao, Mei Li
    Geoinformatics 2017 (Oral presentation)
Experience
Research · Teaching · Industry

Research Assistant

  • Graduate Student Researcher, Climate Hazards Center, UC Santa Barbara (Aug 2023 – Jun 2024)
  • Graduate Student Researcher with Dr. Keith Clarke, UC Santa Barbara (Jul 2019 – Mar 2020)
  • Graduate Student Researcher with Dr. Vena Chu, UC Santa Barbara (Sep 2018 – Jun 2019)
  • Research Assistant with Dr. Shanjun Mao and Mei Li, Peking University (Sep 2015 – Jun 2018)

Instructor / Teaching Associate

  • CMPSC 16 Problem Solving I, CS Department, UC Santa Barbara (Summer 2023)
  • GEOG W12 Maps and Spatial Reasoning, Geography Department, UC Santa Barbara (Summer 2023)

Teaching Assistant

  • CMPSC 190DF / PSTAT 197C Capstone Project in Data Science (Spring 2023)
  • CMPSC 190DE / PSTAT 197B Capstone Project in Data Science (Winter 2023)
  • GEOG 111C Smart Green Cities (Spring 2022)
  • GEOG W12 Maps and Spatial Reasoning (2022 Winter; 2021 Fall; 2020 Spring & Fall)
  • GEOG 113 Polar Environments (Spring 2021)
  • GEOG 3 Oceans and Atmosphere (Winter 2021)
  • GEOG W8 Global Warming (Summer 2020)
  • Advanced Geographical Information System, Peking University (Spring 2016)

Industry

  • Software Engineer Intern (ML), Google (Sep 2022 – Dec 2022)
  • PhD Software Engineer Intern (ML), Ads Core ML Team, Meta (Jun 2022 – Sep 2022)
  • Software Engineer Intern (Computer Vision), Uber (Jun 2021 – Sep 2021)
Selected Awards
Recognition
  • Jack Dangermond Travel Scholarship (UCSB Geography)
  • Regents Fellowship (UCSB)
  • Outstanding Graduate Awards (Peking University)
  • May 4th Scholarship (Peking University)