About Myself

My name is Gengchen Mai, a third year MA/Ph.D. student at Space and Time for Knowledge Organization Lab, Department of Geography, University of California, Santa Barbara. My Ph.D. adviser is Prof. Krzysztof Janowicz. My major research field is focused on Geographical Information Science (GIScience), Geographic Information Retrieval, Machine Learning/Deep Learning, and Semantic Web. Right now, my research is highly focused on how to semantically enrich geospatial data and queries in a Geographic Information Retrieval framework by combining inductive and deductive methods.

Before I become a MA/Ph.D. Student at UCSB, I got my B.S. Degree in Geographic Information System from Department of Geographical Information Science, School of Resource and Environmental Sciences, Wuhan University. During my undergraduate study, my research topic, especially undergraduate thesis, is focused on Land Use/Cover Change (LUCC), spatial analysis and spatial statistics.

Research Interests

  • GIScience
  • Geographic Information Retrieval
  • Semantic Web
  • Machine Learning/Deep Learning
  • Spatial Data Mining
  • Spatial Statistic/Analysis
  • Geo-ontology Engineering

Contact

Gengchen Mai

Address:

4829 Ellison Hall

University of California, Santa Barbara

Santa Barbara, CA 93106, USA

Email:

gengchen_mai@geog.ucsb.edu


Education

Graduate Study

Time:

03/17/2017 expected – 06/01/2019 expected (Ph.D.)

09/24/2015 – 11/2017 expected (MA)

Institution:

UC Santa Barbara, Santa Barbara, CA, USA 93106

College:

College of Letter & Science

Department:

Department of Geography

Lab:

STKO Lab

Major:

Cartography and GIS (MA/Ph.D.)

Adviser:

Prof. Krzysztof Janowicz

Undergraduate Study

Time:

09/04/2011 – 06/30/2015

Institution:

Wuhan University, Wuhan, Hubei, China 430079

School:

School of Resource and Environmental Sciences

Department:

Department of Geographical Information Science

Major:

Geographic Information System (Bachelor of Science)

Adviser:

Prof. Shiliang Su

Thesis:

Tea Plantation Expansion in Southeast of China: Process, Driving Forces and Ecological Effect


Publication

Book chapters:

1.Song Gao, Gengchen Mai. Mobile GIS and Location-Based Services. In Bo Huang, Thomas J. Cova, and Ming-Hsiang Tsou et al.(Eds): Comprehensive Geographic Information Systems, Elsevier. Oxford, UK..

Peer-reviewed Journal Articles:

4.Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao. ADCN: An Anisotropic Density-Based Clustering Algorithm for Discovering Spatial Point Patterns with Noise. Transactions in GIS, in press. DOI:10.1111/tgis.12313

3.Shiliang Su, Yaping Wang, Fanghan Luo, Gengchen Mai, Jian Pu. Peri-urban vegetated landscape pattern changes in relation to socioeconomic development. Ecological Indicators 46 (2014) 477–486.

2.Shiliang Su, Yi’na Hu, Fanghan Luo, Gengchen Mai, Yaping Wang. Farmland fragmentation due to anthropogenic activity in rapidly developing region. Agricultural Systems 131 (2014) 87–93.

1.Rui Xiao, Shiliang Su, Gengchen Mai, Zhonghao Zhang, Chenxue Yang. Quantifying determinants of cash crop expansion and their relative effects using logistic regression modeling and variance partitioning. International Journal of Applied Earth Observation and Geoinformation 34 (2015) 258–263.

Conference Paper:

6.Bo Yan, Krzysztof Janowicz, Gengchen Mai, Song Gao. From ITDL to Place2Vec -- Reasoning About Place Type Similarity and Relatedness by Learning Embeddings From Augmented Spatial Contexts, In: Proceedings of the 25th International Conference on Advances in Ge-ographic Information Systems (ACM SIGSPATIAL 2017), November 7 - 10, 2017, Redondo Beach, California, USA. (Full paper accepted)

5.Blake Regalia, Krzysztof Janowicz, Gengchen Mai. Phuzzy.link: A SPARQL-Powered Client-Sided Extensible Semantic Web Browser, In: Proceedings of 3rd International Workshop on Visualization and Interaction for Ontologies and Linked Data (VOILA2017) co-located with ISWC 2017, October 22, 2017, Vienna, Austria. (Full paper accepted)

4.Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao. ADCN: An Anisotropic Density-Based Clustering Algorithm, In: Proceedings of the 24th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), October 31 - November 3, 2016, San Francisco Bay Area, California, USA. (Short paper accepted)

3.Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Grant McKenzie. A Linked Data Driven Visual Interface for the Multi-Perspective Exploration of Data Across Repositories, In: Proceedings of 2nd International Workshop on Visualization and Interaction for Ontologies and Linked Data (VOILA2016) co-located with ISWC 2016, October 17 or 18, 2016, Kobe, Japan. (Full paper accepted)

2.Song Gao, Rui Zhu, Gengchen Mai. Identifying Local Spatiotemporal Autocorrelation Patterns of Taxi Pick-ups and Drop-offs, In: Proceedings of the 9th International Conference on Geographic Information Science, September 27 - 30, 2016, Montreal, Canada. (Short paper accepted)

1.Krzysztof Janowicz, Yingjie Hu, Grant McKenzie, Song Gao, Blake Regalia, Gengchen Mai, Rui Zhu, Benjamin Adams, and Kerry Taylor. Moon Landing or Safari? A Study of Systematic Errors and their Causes in Geographic Linked Data, In: Proceedings of the 9th International Conference on Geographic Information Science, September 27 - 30, 2016, Montreal, Canada. (Full paper accepted)

Conference Oral/Poster Presentation:

4. Oral presentation (2017): ADCN: An Anisotropic Density-Based Clustering Algorithm for Discovering Spatial Point Patterns with Noise, In 2017 Annual Meeting of AAG: Spatiotemporal Symposium -- Big Spatiotemporal Data Discovery and Mining Session, April 5- April 9, 2017, San Francisco, California, USA.

3. Poster presentation (2016): ADCN: An Anisotropic Density-Based Clustering Algorithm, In 24th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016) , October 31 - November 3, 2016, San Francisco Bay Area, California, USA.

2. Poster presentation (2016): A Linked Data Driven Visual Interface for the Multi-Perspective Exploration of Data Across Repositories, In 12th Reasoning Web Summer School (RW 2016) co-located with 10th International Conference on Web Reasoning and Rule Systems (RR 2016) , September 5 - 9, 2016, Aberdeen, Scotland, UK.

1. Oral presentation (2016): Tea Plantation Expansion in Hangzhou, China: Process, Related factors & Ecological Effect, In 2016 Annual Meeting of AAG: The Quest to Map Plant Species Session, March 28- April 1, 2016, San Francisco, California, USA.


Research Experience & Project

IOS Press Query Expansion

Graduate Student Researcher in STKO Lab, Department of Geography, UCSB

2017/03 - Present

In this work, I implemented a query interface to support users search papers published in IOS Press using keywords. The query process is enriched by Word2Vec model.

An Anisotropic Density-Based Clustering Algorithm (ADCN)

Graduate Student Researcher in STKO Lab, Department of Geography, UCSB

2015/09 - Present

Density-based clustering algorithms such as DBSCAN have been widely used for spatial knowledge discovery as they offer several key advantages compared to other clustering algorithms. They can discover clusters with arbitrary shapes, are robust to noise and do not require prior knowledge (or estimation) of the number of clusters. The idea of using a scan circle centered at each point with a search radius Eps to find at least MinPts points as a criterion for deriving local density is easily understandable and sufficient for exploring isotropic spatial point patterns. However, there are many cases that cannot be adequately captured this way, particularly if they involve linear features or shapes with a continuously changing density such as a spiral. In such cases, DBSCAN tends to either create an increasing number of small clusters or add noise points into large clusters. Therefore, in this paper, we propose a novel anisotropic density-based clustering algorithm (ADCN). To motivate our work, we introduce synthetic and real-world cases that cannot be sufficiently handled by DBSCAN (and OPTICS). We then present our clustering algorithm and test it with a wide range of cases. We demonstrate that our algorithm can perform as equally well as DBSCAN in cases that do not explicitly benefit from an anisotropic perspective and that it outperforms DBSCAN in cases that do. We show that our approach has the same time complexity as DBSCAN and OPTICS, namely O(n log n) when using a spatial index and O(n 2 ) otherwise. We provide an implementation and test the runtime over multiple cases. Finally, we apply DBSCAN, OPTICS, and our ADCN to the extraction of urban Areas of interest (AOI) from geotagged photos in six cities. Visual comparison shows that, comparing to DBSCAN and OPTICS, ADCN is inclined to extract AOI with linear shapes which follow the underline road network. ADCN also turn out to connect areas when the spatial distribution of them shows similar direction.

ESRI Linked Data Connecter

Graduate Student Researcher in STKO Lab, Department of Geography, UCSB

2016/10 - Present

In this work, we conceptualized and prototypically implemented a Linked Data connector framework as a set of toolboxes for Esri’s ArcGIS. We discussed from within a GIS, how to connect to Linked Data endpoints, how to use ontologies to probe data and derive appropriate GIS representations on-the-fly, how to make use of reasoning, how to derive data that is ready for spatial analysis out of RDF triples, and, most importantly, how to utilize the link structure of Linked Data to enable analysis.

Alexandria Digital Library (ADL) Gazetteer

Graduate Student Researcher in STKO Lab, Department of Geography, UCSB

2016/08 - Present

Funded by IOS Press

Alexandria Digital Library (ADL) is UC Santa Barbara Library's home for collections of digital research materials. This project aims at leveraging Semantic Web technologies, especially GeoSPARQL, to facilitate the spatial/no-spatial query of ADL Gazetteer and dynamically visualize the results. Right now, the ADL Gazetteer data has been held and managed in a modified version of Apache Marmotta triple store in which GeoSPARQL is enabled. Thanks to all the help from STKO lab members, two different interfaces have been established to facilitate users to interactively explore the geographic data in ADL Gazetteer which are list bellow:

ADL Map Interface:

http://adl-gazetteer.geog.ucsb.edu/

This is a map interface to help users do spatial/no-spatial queries on ADL Gazetteer, like finding all the entities in "administrative region" class in current map layout whose label contains "paris". GeoSPARQL is used to do spatial queries. Acknowledge to Grant McKenzie and Bo Yan.

ADL Linked Data Visualizer:

http://adl-gazetteer.geog.ucsb.edu/feature/

This is a Linked Data version for all the entities and entity types in ADL Gazetteer. For example, the IRI of Ellison Hall, UCSB is http://adl-gazetteer.geog.ucsb.edu/feature/. If you enter this IRI into the browser, an interface will show up that contains the attribute table which holds its one-degree information (subject node) and reverse one-degree information (object node) and a map which shows its geographic location. Acknowledge to Blake Regalia.

IOS Press RelFinder

Graduate Student Researcher in STKO Lab, Department of Geography, UCSB

2016/10 - Present

In this work, we developed an Linked Data Visualization Interface for IOS Press Linked Dataset. This interface can visualize the Linked Data Cloud as a graph and users can further explore the graph content using right click menu. The Left sidebar will display the information of the current entity. The irght sidebar helps users do "Relationship Finder" style search.

URL: http://stko-testing.geog.ucsb.edu/gengchen/IOSRelFinder/

GeoLink

Graduate Student Researcher in National Center for Ecological Analysis and Synthesis (NCEAS), UCSB

2016/01 - 2016/04

Funded by NSF EarthCube program

GeoLink is a building block project of EarthCube project. It aims at building up a oceanography data integration framwork for seven data repositories and a collections of Ontology Design Patterns. My contribution in this project is creating a graph visualizer to query the paths between two entities. This graph visualizer help the user to discover the data by follow-your-nose search across different data repositories.

Paper: A Linked Data Driven Visual Interface for the Multi-Perspective Exploration of Data Across Repositories

URL: http://demo.geolink.org/

Undergraduate Research & Thesis

Thesis Topic:

Tea Plantation Expansion in Southeast of China: Process, Driving Forces and Ecological Effect

The coupling mechanism of farmland’s service function and landscape fragmentation

2014/01 - 2015/07

Funded by the Fundamental Research Funds for the Central Universities (No. 2042014kf0048)

The construction of generalization classifier by using phenological index to extract the farmland information

2014/01 - 2015/12

Funded by Open Research Fund Program of Key Laboratory of Digital Mapping and Land Information Application Engineering, National Administration of Surveying, Mapping and Geoinformation (No. GCWD201404)

Recently, tea plantation expansion has become a typical land use change in the subtropical zone of China. My experiment integrated remote sensing, spatial analysis deriving from geographic information system, landscape metric analysis and spatial regression, to quantify the socioeconomic indicators of tea plantation expansion and its effects on landscape pattern, with a case of Hangzhou, China, from 2004 to 2013. Main results showed that: (1) Hangzhou has undergone great tea plantation expansion, about 54975.9 ha, from 2004 to 2013. (2) Tea plantation expansion is highly related to some physical, social, and economical factors: slope, elevation, distance to water bodies, distance to roads, distance to socioeconomic centers, public financial revenue and per capita average income of farmers. (4) Tea plantation expansion would make the landscape become fragmentized, complex and irregular. Our study contributed to understanding the socioeconomic indicators of tea plantation expansion and its effects on landscape pattern in subtropical China.

URL: This research has been presented in 2016 Annual Meeting of AAG, The Quest to Map Plant Species Session.

Sina-Blog Check-in Project

Project leader: The Extraction of Point of Interest Based on Multi-source Check-in Data

2013/05 - 2015/06

Funded by Planning Project of Innovation and Entrepreneurship Training of National Undergraduate of Wuhan University (No.1310486034)

As a project leader of this undergraduate training project, I developed a C# Application to get check-in data form Sina-blog. And then we evaluated the effect of the construction of Wuhan Subway Line 2 on the spatial distribution of Sina-Blog Check-in data.

URL: Flow Analysis and Research on Subway Based on "Sina micro-blog" Registration data

GIS & Cartography Course Project

A One month GIS & Cartography Course project

2014/12 - 2015/01

I made two maps of Hengche County by ArcGIS Deasktop. Left one shows the current land use map of Hengche County. The right one shows the Current land use stucture of Hengche County.


Internship

Internship Position:

Software Development Internship

Time:

06/27/2017 - 09/15/2017

Company:

Environmental Systems Research Institute (ESRI)

Team:

AppStudio

Mentor:

Sathya Prasad

Location:

Redlands, CA, USA

Used Technology:

Elasticsearch, Mechine Learning/Natural Language Processing (Artificial Neural Network, Named Entity Recognition), QML


Award

2017/11/07 - 2017/11/10

The Jack & Laura Dangermond Travel Scholarship for ACM SIGSPATIAL 2017

2017/04/06

The 1st Place Best Paper Award at AAG 2017 GIS Special Group Student Paper Competition for "Beyond Coordinates: Incorporating Geographic Knowledge into Geocoding Services Using Linked Open Data" (co-author)

2017/04/05 - 2017/04/09

The Jack & Laura Dangermond Travel Scholarship for 2017 AAG Annual Meeting

2016/09/27 - 2016/09/30

The Jack & Laura Dangermond Travel Scholarship for the 9th International Conference on Geographic Information Science (GIScience 2016)

2016/09/05 - 2016/09/09

NSF Student Fellowship for 12th Reasoning Web Summer School (RW2016)

2016/09/05 - 2016/09/09

The Jack & Laura Dangermond Travel Scholarship for 12th Reasoning Web Summer School (RW2016)

2016/03/29 - 2016/04/02

The Jack & Laura Dangermond Travel Scholarship for 2016 AAG Annual Meeting

2015/09

UCSB Geography Doctoral Scholars Fellowship

2015/06

Outstanding Undergraduate of Wuhan University

2013/09 - 2014/06

China National Fellowship

2013/09 - 2014/06

First-class scholarship and Merit Student of School of Resource and Environmental Sciences, Wuhan University

2012/09 - 2013/06

China National Fellowship

2012/09 - 2013/06

First-class scholarship and Merit Student of School of Resource and Environmental Sciences, Wuhan University

2011/09 - 2012/06

China National Fellowship

2011/09 - 2012/06

First-class scholarship and Merit Student of School of Resource and Environmental Sciences, Wuhan University


Service

Peer Reviewer for Academic Journals

Transactions in GIS

Land Use Policy

Habitat International

Conferences or Workshop Committees

Program Committee Member, 9th International Conference on Knowledge Capture, Dec. 4th-6, 2017, Austin, USA.

Student Activity:

2017/09 - present

Campus Ambassador of Esri at UCSB

2016/09 - 2017/08

Program Manager of UCSB Cognitive Science

2011/09 - 2013/06

Undersecretary of Department of Life and Welfare in the Students' Union of School of Resource and Environmental Sciences, Wuhan University


Teaching

Class Name:

GEOG 176C: GIS Application

Role:

Teaching Assistant

Time:

2016 Spring

Institution:

UC Santa Barbara, Santa Barbara, CA, USA 93106

Department:

Department of Geography

Instructor:

Prof. Krzysztof Janowicz

Slides:

Week 2

Week 5

Week 10

Class Name:

GEOG 3B: Land, Water and Life

Role:

Teaching Assistant

Time:

2016 Summer Session B

Institution:

UC Santa Barbara, Santa Barbara, CA, USA 93106

Department:

Department of Geography

Instructor:

Brandi Gamelin

Slides:

Week 1

Week 2

Week 3

Week 5


Contact

Gengchen Mai

Address:

4829 Ellison Hall

University of California, Santa Barbara

Santa Barbara, CA 93106, USA

Email:

gengchen_mai@geog.ucsb.edu

Copyright © Gengchen Mai