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
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Jan 2025My new paper titled “Locating and Orienting Facilities with Anisotropic Coverage” has been published in Computers, Environment and Urban Systems.
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Jul 2024My new paper titled “Facility Layout and Spatial Configuration Efficiency Assessment” has been published in Networks and Spatial Economics.
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Jun 2024I graduated from UC Santa Barbara with a PhD in Geography.
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Jan 2024My 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).
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Jan 2024One coauthored paper titled “Balancing Workloads through Co-location in Covering Problems” has been published in Geographical Analysis.
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Oct 2023I received a certificate from the Summer Teaching Institute for Associates at UC Santa Barbara.
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Aug 2023My 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.
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Aug 2023I 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.
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Jun 2023I will teach GEOG W12 Maps and Spatial Reasoning and CMPSC 16 Problem Solving with C++ in Summer 2023.
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Dec 2022I finished a software engineering intern (machine learning) on geo-document retrieval at Google.
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Sep 2022I finished a PhD software engineering intern (machine learning) in the Ads Core ML team at Meta Inc.
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Sep 2021I 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
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Locating and orienting facilities with anisotropic coverage
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Facility Layout and Spatial Configuration Efficiency Assessment
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Mapping 3-D classroom seats based on partial object point cloud completion
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Balancing Workloads through Co-location in Covering Problems
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LiDAR Data Segmentation using Deep Learning for Indoor MappingAutoCarto 2020 (Oral presentation)
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Overview of Contributions in Geographical Analysis: Waldo Tobler
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PAM spatial clustering algorithm research based on CUDAGeoinformatics 2016 (Oral presentation)
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Investigating street accident characteristics and optimal safe route recommendation: A case study of New York CityGeoinformatics 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)
Service & Memberships
Community & reviewing
Journal Reviewer
- Annals of GIS
- Applied Spatial Analysis and Policy
- Cartography and Geographic Information Science
- Cities
- Clean Technologies and Environmental Policy
- Computers, Environment and Urban Systems
- Ecological Indicators
- Environmental Monitoring and Assessment
- Environmental Research Letters
- Environmental Research Communications
- Journal for Nature Conservation
- Journal of Geographical Sciences
- Journal of Geographical Systems
- Networks and Spatial Economics
- Proceedings of the Royal Society A
- Scientific Reports
- Transactions in GIS
- Transportation Research Interdisciplinary Perspectives
- Urban Climate
Professional Societies
- American Association of Geographers (AAG)
- The Cartography and Geographic Information Society (CaGIS)
- The International Association of Chinese Professionals in Geographic Information Sciences (CPGIS)
- University Consortium for Geographic Information Science (UCGIS)
Selected Awards
Recognition
- Jack Dangermond Travel Scholarship (UCSB Geography)
- Regents Fellowship (UCSB)
- Outstanding Graduate Awards (Peking University)
- May 4th Scholarship (Peking University)