ACM SIGSPATIAL 2019 Attendee Information Package

Floor Plans ...... 1 Conference Program ...... 3 Workshop Programs ...... 7 Poster, Demo and SRC Papers ...... 19

Corporate Sponsors Institutional Funding & Publisher

Floor Plans

ACM SIGSPATIAL 2019 Workshops

th th Workshop Room 14 Floor 15 Floor IWCTS Lake House SpatialAPI Western Stage House Shakespeare House Lake House EM-GIS The Bull’s Head LaSalle GeoEd Columbian House LocalRec Shakespeare House American House Wolf PredictGIS American House Point LENS Steamboat Hotel S Western Ballroom ARIC Steamboat Hotel N S Stage Sauganash Grand Ballroom House Merchants Hotel S GeoHumanities (Morning) N Merchants Hotel S Hotel Steamboat GeoSim (Afternoon) East West SpatialGems Merchants Hotel N S The Bull’s Wolf Point Ballroom MOVE++ Head Wolf Point North (Afternoon) N Reception Point BigSpatial LaSalle (Morning) Hotel Merchants Registration Food & Break Food & Break RAAS LaSalle (Afternoon) Mansion Stations Stairs Stations Columbian House House GeoAI Sauganash Ballroom E SRC Poster SRC Sauganash Ballroom W (presentation) Network Name: ACM SIGSPATIAL GIS SRC (poster) Sauganash Ballroom foyer Password: ACM2019!

ACM SIGSPATIAL 2019 Main Conference

14th Floor 15th Floor

Shakespeare Lake House House LaSalle

American House Wolf Point Western Contest Session S Sauganash Grand Ballroom Stage Ballroom House N Main Presentations and Keynotes Poster Steamboat Hotel Steamboat Reception & S Banquet Demo Session The Bull’s Wolf Point N Head North Reception Point Merchants Hotel Merchants Registration Mansion Columbian Food & Break Stairs Food & Break House Stations Stations House

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Gerais), Aline Viana (Inria, Saclay), Mario S. Alvim (Universidade Federal de Minas Gerais), Jussara Conference Program Almeida (UFMG) November 6 – November 8 ● Effective Recycling Planning for Dockless Sharing Bikes Cong Zhang ( University of Posts and Telecommunications), Yanhua Li (Worcester Polytechnic Institute), Jie Bao (Urban Computing Wednesday, November 6, 2019 Business Unit, JD Finance), Sijie Ruan (School of Computer Science and Technology, Xidian 7:00 AM - 8:00 AM Breakfast and Registration University), Tianfu He (Harbin Institute of Technology), Hui Lu (Guangzhou University), Zhihong Tian (Guangzhou University), Cong Liu (The 8:00 AM - 8:15 AM Opening University of Texas at Dallas), Chao Tian (Shenzhen city computer system Co. Ltd.), Jianfeng Lin 8:15 AM - 9:15 AM Session 1: Maps (Mobike), Xianen Li (Mobike)

● GloBiMaps - A Probabilistic Data Structure for 12:00 PM - 1:30 PM Lunch In-Memory Processing of Global Raster Datasets (Best Paper Candidate) 1:30 PM - 3:00 PM Fast Forward Session Martin Werner (DLR Oberpfaffenhofen and UniBW Munchen) ● Exploring Semi-Automatic Map Labeling 3:00 PM - 3:30 PM Break Fabian Klute (Vienna University of Technology), Guangping Li (Vienna University of Technology), 3:30 PM - 3:50 PM Session 3: Vision Papers Raphael Loffler (Vienna University of Technology), Martin Nollenburg (Vienna University of Technology), Manuela Schmidt (Vienna University of Technology) ● Revolutionizing Tree Management via ● Qualitative Place Maps for Landmark-based Innovative Spatial Techniques Localization and Navigation in GPS-denied Yiqun Xie (University of Minnesota), Shashi Shekhar (University of Minnesota), Richard Feiock (Florida Environments Hua Hua (the Australian National University), Peng State University), Joseph Knight (University of Zhang (the Australian National University), Jochen Minnesota) Renz (the Australian National University) ● Towards Geocoding Spatial Expressions Hussein Al-Olimat (Kno.e.sis Center, Wright State University), Valerie Shalin (Kno.e.sis Center, Wright 9:15 AM - 10:15 AM Invited Talk State University), Krishnaprasad Thirunarayan (Kno.e.sis Center, Wright State University), Joy 10:15 AM - 10:40 AM Break Prakash Sain (Kno.e.sis Center, Wright State University) 10:40 AM - 12:00 PM Session 2: Prediction 3:50 PM - 4:50 PM Session 4: Trajectories ● Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and ● Maximum Physically Consistent Insights Trajectories (Best Paper Candidate) Sobhan Moosavi (The Ohio State University), Bram Custers (Eindhoven University of Technology), Mohammad Hossein Samavatian (The Ohio State Mees van de Kerkhof (Utrecht University), Wouter University), Srinivasan Parthasarathy (The Ohio Meulemans (Eindhoven University of Technology), State University), Radu Teodorescu (The Ohio State Bettina Speckmann (Eindhoven University of University), Rajiv Ramnath (The Ohio State Technology), Frank Staals (Utrecht University) University) ● An Experimental Evaluation of Grouping ● On Predicting Crime with Heterogeneous Definitions for Moving Entities Spatial Patterns: Methods and Evaluation Lionov Wiratma (Utrecht University), Marc Van Chuanxiu Xiong (University of Southern California), Kreveld (Utrecht University), Maarten Loffler (Utrecht Ajitesh Srivastava (University of Southern University), Frank Staals (Utrecht University) California), Rajgopal Kannan (University of Southern ● HTTE: A Hybrid Technique For Travel Time California), Omkar Damle (), Estimation In Sparse Data Environments Viktor Prasanna (University of Southern California), Nikolaos Zygouras (NKUA), Nikolaos Panagiotou Erroll Southers (University of Southern California) (NKUA), Dimitrios Gunopulos (NKUA), Yang Li ● Deciphering Predictability Limits in Human (Tsinghua Berkeley Shenzhen Institute), Leonidas Mobility (Best Paper Candidate) Guibas (Stanford University) Douglas Teixeira (Universidade Federal de Minas 3

4:50 PM - 5:00 PM Break ● The Maximum Visibility Facility Selection Query in Spatial Databases 5:00 PM - 6:00 PM Sponsors Presentation Ishat E Rabban (BUET), Mohammed Eunus Ali (BUET), Muhammad Aamir Cheema (Monash Session University), Tanzima Hashem (BUET) ● Probabilistic Maximum Range-Sum Queries on 6:00 PM - 7:00 PM Break Spatial Database (Best Paper Candidate) Qiyu Liu (The Hong Kong University of Science and 7:00 PM - 11:00 PM Poster Reception, Demo Technology), Xiang Lian (Kent State University), Lei Session Chen (The Hong Kong University of Science and Technology)

11:30 AM - 12:30 PM Session 7: Query Thursday, November 7, 2019 Processing and Indexing (II)

7:00 AM - 8:00 AM Breakfast and Registration ● An investigation of Grid-enabled Tree Indexes for Spatial Query Processing Jaewoo Shin (Purdue University), Ahmed Mahmood 8:00 AM - 9:00 AM Session 5: Indoor (Google), Walid Aref (Purdue University) Environments and Localization ● Local Similarity Search on Geolocated Time Series Using Hybrid Indexing ● MonoDCell: A Ubiquitous and Low-Overhead Georgios Chatzigeorgakidis (University of Deep Learning-based Indoor Localization with Peloponnese), Dimitrios Skoutas (Information Limited Cellular Information Management Systems Institute, Athena Research Hamada Rizk (Egypt-Japan University of Science and Center), Kostas Patroumpas (Information Technology), Moustafa Youssef (Alexandria Management Systems Institute, Athena Research University) Center), Themis Palpanas (Paris Descartes ● Efficient Beacon Placement Algorithms for University), Spiros Athanasiou (Information Time-of-Flight Indoor Localization Management Systems Institute, Athena Research Haotian Wang (Stony Brook University), Niranjini Center), Spiros Skiadopoulos (University of Rajagopal (Carnegie Mellon University), Anthony Peloponnese) Rowe (Carnegie Mellon University), Bruno Sinopoli ● Temporal Geo-Social Personalized Search (Carnegie Mellon University), Jie Gao (Stony Brook Queries Over Streaming Data (Best Paper University) Candidate) ● Bayesian Surprise in Indoor Environments Abdulaziz Almaslukh (University of California, Sebastian Feld (Ludwig Maximilian University of Riverside), Amr Magdy (University of California, Munich), Andreas Sedlmeier (Ludwig Maximilian Riverside) University of Munich), Markus Friedrich (Ludwig Maximilian University of Munich), Jan Franz (Ludwig Maximilian University of Munich), Lenz Belzner 12:30 PM - 2:00 PM Lunch (MaibornWolff) ● Sponsored Luncheon (for women only): 9:00 AM - 10:00 AM Invited Talk "Women's Lunch", Sponsored by Apple Inc., Featuring Guest Speaker Donna Pitteri, Senior Manager 10:00 AM - 10:30 AM Break 2:00 PM - 3:20 PM Session 8: Systems 10:30 AM - 11:30 AM Session 6: Query Processing and Indexing (I) ● Large-scale 3D geospatial processing made possible ● Efficient Bundled Spatial Range Queries Lucas Villa Real (IBM Research Brazil), Bruno Silva Eleni Tzirita Zacharatou (Ecole Polytechnique (IBM Research Brazil), Dikran Meliksetian (IBM Federale de Lausanne), Darius Sidlauskas (Ecole Research), Kaique Maestrini Sacchi (USP) Polytechnique Federale de Lausanne), Farhan ● A NUMA-aware Trajectory Store for Travel-Time Tauheed (Oracle Labs), Thomas Heinis (Imperial Estimation College London), Anastasia Ailamaki (Ecole Robert Waury (Aalborg University), Kristian Torp Polytechnique Federale de Lausanne) 4

(Aalborg University), Christian S. Jensen (Aalborg 5:40 PM - 6:30 PM Contest Session University) ● Data Management and Analytics System for 6:30 PM - 7:00 PM Break Online Flight Conformance Monitoring and Anomaly Detection Samet Ayhan (University of Maryland), Hanan Samet 7:00 PM - 7:30 PM Drinks (University of Maryland) ● Real-Time Applications Using High Resolution 7:30 PM - 11:00 PM Banquet 3D Objects in High Definition Maps

Andi Zang (Northwestern University), Shiyu Luo (Northwestern University), Xin Chen (Here Technologies), Goce Trajcevski (Iowa State University) Friday, November 8, 2019

3:20 PM - 3:50 PM Break 7:00 AM - 8:00 AM Breakfast and Registration

3:50 PM - 4:50 PM Session 9: Computational 8:00 AM - 8:40 AM Session 11: Privacy Geometry ● On Location Privacy in Fingerprinting-based ● Practical Topologically Safe Rounding of Indoor Positioning System: An Encryption Geographic Networks Approach Thomas C. Van Dijk (Universitat Wurzburg), Andre Wenlu Wang (Auburn University), Zhitao Gong (Auburn University), Ji Zhang (Auburn University), Loffler (Universitat Wurzburg) Hua Lu (Auburn University), Wei-Shinn Ku (Auburn ● Retrieving alpha-Shapes and Schematic University) Polygonal Approximations for Sets of Points A Privacy-Preserving, Accountable and Spam- within Queried Temporal Ranges ● Annika Bonerath (University of Bonn), Benjamin Resilient Geo-Marketplace Niedermann (University of Bonn), Jan-Henrik Kien Duy Nguyen (University of Southern California), Gabriel Ghinita (University of Massachusetts, Haunert (University of Bonn) Boston), Muhammad Naveed (University of Southern ● A General Framework for Human-Machine California), Cyrus Shahabi (University of Southern Digitization of Geographic Regions from California) Remotely Sensed Imagery Chris Michael (US Naval Research Laboratory), Steven Dennis (US Naval Research Laboratory), 8:40 AM - 10:00 AM Session 12: Machine Corey Maryan (US Naval Research Laboratory), Learning Samuel Irving (US Naval Research Laboratory), Margaret Palmsten (US Naval Research Laboratory) ● Learning Embeddings of Intersections on Road Networks 4:50 PM - 5:30 PM Session 10: Industrial Mengxiang Wang (Northeastern University), Wang- Experiences Chien Lee (The Pennsylvania State University), Tao- Yang Fu (The Pennsylvania State University), Ge Yu (Northeastern University) ● A Deep Learning Approach for Tweet Classification and Rescue Scheduling for ● Collective Representation Learning on Effective Disaster Management Spatiotemporal Heterogeneous Information Md Yasin Kabir (Missouri University of Science and Networks Technology), Sanjay Madria (Missouri University of Dakshak Keerthi Chandra (Missouri university of Science and Technology) Science & Technology), Pengyang Wang (Missouri university of Science & Technology), Jennifer Leopold ● Multi-Itinerary Optimization as Cloud (Missouri university of Science & Technology), Yanjie Service (Best Paper Candidate) Fu (Missouri university of Science & Technology) Alexandru Cristian (Microsoft), Luke Marshall ● TITAN: A Spatiotemporal Feature Learning (Microsoft), Mihai Negrea (Microsoft), Flavius Framework for Traffic Incident Duration Stoichescu (Microsoft), Peiwei Cao (Microsoft), Ishai Prediction Menache (Microsoft) Kaiqun Fu (Virginia Tech), Taoran Ji (Virginia Tech), Liang Zhao (George Mason University), Chang-Tien 5:30 PM - 5:40 PM Break Lu (Virginia Tech)

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● SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension Jingjing Li (Auburn University), Wenlu Wang (Auburn University), Wei-Shinn Ku (Auburn University), Yingtao Tian (Stony Brook University), Haixun Wang (WeWork Research)

10:00 AM - 10:30 AM Break

10:30 AM - 11:30 AM Session 13: Clustering and Anomaly Detection

● The Kernel Spatial Scan Statistic Mingxuan Han (University of Utah), Michael Matheny (University of Utah), Jeff Phillips (University of Utah) ● Detecting Spatial Clusters of Disease Infection Risk Using Sparsely Sampled Social Media Mobility Patterns Roberto Souza (UFMG), Renato Assuncao (UFMG), Daniel Neill (New York University), Wagner Meira Jr. (Universidade Federal de Minas Gerais) ● Spatiotemporal Bus Route Profiling using Odometer Data Xiqi Fei (George Mason University), Olga Gkountouna (George Mason University), Dieter Pfoser (George Mason University), Andreas Zuefle (George Mason University)

11:30 AM - 12:30 AM Session 14: Transportation

● Efficient Calculation of Microscopic Travel Demand Data with Low Calibration Effort Valentin Buchhold (Karlsruhe Institute of Technology), Peter Sanders (Karlsruhe Institute of Technology), Dorothea Wagner (Karlsruhe Institute of Technology) ● An Efficient Electric Vehicle Path-Planner That Considers the Waiting Time Jael Champagne Gareau (Universite du Quebec a Montreal), Eric Beaudry (Universite du Quebec a Montreal), Vladimir Makarenkov (Universite du Quebec a Montreal) ● Social-Aware Optimal Electric Vehicle Charger Deployment on Road Network Qiyu Liu (The Hong Kong University of Science and Technology), Yuxiang Zeng (The Hong Kong University of Science and Technology), Lei Chen (The Hong Kong University of Science and Technology), Xiuwen Zheng (University of California San Diego)

12:30 PM - 1:00 PM Closing

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James Murphy, Yuanyuan Pao and Albert Yuen Workshop Programs ● Convoy Detection using Sequence Alignment November 5, 2019 Kai Li and Mark McKenney

3:30 PM – 4:00 PM Coffee Break 4:00 PM – 5:00 PM Session 3 8:00 AM – 9:00 AM Breakfast ● Destination Signs in OpenStreetMap – Quality Assessment and Instrumentation for Routing Jan Rapp, Florian Barth and Stefan Funke Computational Transportation ● Shortest-Path Diversification through Network Penalization: A Washington DC area case study Science (IWCTS) Dan Cheng, Olga Gkountouna, Andreas Züfle, Dieter Pfoser and Carola Wenk 9:00 AM - 10:30 AM Session 1 5:00 PM – 5:10 PM Closing Remarks ● Relative Reachability Analysis as a Tool for Urban Mobility Planning (Position Paper) Theodoros Chondrogiannis, Mario A. Nascimento and Panagiotis Bouros ● Road Map Generation and Feature Extraction Geospatial Data Access and from GPS Trajectories Data Tariq Alsahfi, Mousa Almotairi, Ramez Elmasri and Processing APIs (SpatialAPI) Bader Alshemaimri ● Online Stochastic Prediction of Mid-Flight 9:00 AM - 9:15 AM Opening Remarks: Foreword Aircraft Trajectories Yongzhen Arthur Pan, Mario A. Nascimento and Joerg 9:15 AM – 9:45 AM Plenary Session: Sander talks 10:30 AM - 11:00 AM Coffee Break 9:45 AM – 10:30 AM Session 1: Tutorial 1 & 11:00 AM - 12:00 PM Keynote Tutorial 2 (Instruction) 12:00 PM – 1:00 PM Lunch Break 10:30 AM - 11:00 AM Coffee Break 1:30 PM – 3:30 PM Session 2 11:00 AM - 11:45 AM Session 2: Tutorial 1 & ● Small Traffic Sign Detection Through Selective Tutorial 2 (Development) Feature Fusion Based Faster R-CNN With Arc- Softmax Loss 11:45 AM - 1:15 PM Lunch (on your own) Site Li, Yang Gu, Zhichao Song, Tengfei Xing, Yiping Meng, Pengfei Xu, Runbo Hu, Tiancheng Zhang, Ge 1:15 PM - 2:00 PM Session 3: Tutorial 3 Yu and Hua Chai (Instruction) ● Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations 2:00 PM - 2:45 PM Session 4: Tutorial 3 Hairuo Xie, Egemen Tanin, Shanika Karunasekera, (Development) & Tutorial 4 (Instruction) Jianzhong Qi, Rui Zhang, Lars Kulik and Kotagiri Ramamohanarao 2:45 PM - 3:30 PM Session 5: Tutorial 4 ● Alternative Routes for Next Generation Traffic (Development) & Tutorial 5 (Instruction) Shaping Florian Barth and Stefan Funke 3:30 PM - 4:00 PM Coffee Break ● Map matching when the map is wrong: Efficient on/off road vehicle tracking and map learning 7

4:00 PM - 4:45 PM Session 6: Tutorial 5 10:20 AM - 10:40 AM Coffee Break (Development) & Integration 10:40 AM - 12:20 PM Session 2 4:45 PM - 5:00 PM Closing remarks • Experimental Investigation into the Acoustic Characteristics of the ground surface response Tutorials due to Leakage in Buried Water-Filled Pipelines Shuan Yan, Hongyong Yuan, Yan Gao, Lizheng Deng, 1. GIS++: Modern C++ for Efficient and Parallel In-Memory Spatial Computing Boao Jin and Yifan Ma Martin Werner (Institute for Applied Computer • Bridge Improvement Cost Estimation through Science, Bundeswehr University) Both Discrete and Continuous Features 2. Interactive 3D Web Mapping with HERE Zhaojun Lin, Yanyun Fu, Xinzhi Wang, Yiping Zeng Technologies and Hui Zhang Craig Barnes (HERE Technologies) • Using Social Media to Geo-Target Emergency 3. Spatial Data Wrangling with GeoSpark - A Step Management Efforts by Step Tutorial Bandana Kar, Tzee Kiu Chow, Nathaniel Dede-Bamfo Jia Yu (Arizona State University) and Xiaohui Liu Mohamed Sarwat (Arizona State University) • Emergency Broadcasting Message Transmission 4. Tutorial on Distributed Trajectory Management Based on CDR System in Secondo Xin Yu, Guofang Sheng and Xunchun Li Fabio Valdés (Database Systems for New • Risk Prediction and Assessment of Foodborne Applications, Fernuniversität Hagen) Disease Based on Big Data Thomas Behr (Database Systems for New Mingke Zhang, Danhuai Guo and Jinyong Hu Applications, Fernuniversität Hagen) Ralf Hartmut Güting (Database Systems for New 12:20 PM - 1:30 PM Lunch Applications, Fernuniversität Hagen) 5. Rasdaman: Open Standards Based Scalable Datacube Analytics 1:30 PM - 3:30 PM Session 3 Vlad Merticariu (Large Scale Scientific Information • AI Planning Applied to GIS-based Disaster Systems Research Group, Jacobs University) Response Peter Baumann (Large Scale Scientific Information Charles Petrie and Agnès Voisard Systems Research Group, Jacobs University) • From Raw Sensor Data to Semantic Trajectories Frédérick Bisone, Thomas Devogele and Laurent Etienne • Path Optimization of Integrating Crowd Model and Reinforcement Learning GIS in Emergency Management Yanyun Fu, Wenxi Shi, Hui Zhang, Xiaoxue Ma, Yang (EM-GIS) Gao and Danhuai Guo • Personality Effect on Driving Behavior Lin Zhang, Qi Wang, Han Xing, Ellen Li, Yongqiang 9:00 AM - 10:20 AM Session 1 Chen and Yi Liu • Unlicensed Taxi Detection Algorithm Based on • Invited Talk: Spatio-Temporal Characteristics Traffic Surveillance Data and Causes Analysis of Precipitation Anomalies Yao Tian, Jiaming Yang and Pengkai Lu During Flood Season in Central China • Study on Comfortable Distance based Car- Prof. Kun QIN following model with Trajectory Data • Information System and Management for Han Xing, Shuyi Wang, Zifan Yang, Yao Ren, Nan Jia Campus Safety and Yi Liu Yiping Zeng, Hui Zhang, Xiaodong Liu, Yanyun Fu, Qing Deng and Rui Ye 3:30 PM - 3:50 PM Coffee Break • Discentralized Human Movement Control and management for Campus Safety Xiaoxue Ma, Hui Zhang, Yanyun Fu, Yiping Zeng, 3:50 PM - 5:10 PM Session 4 Danhuai Guo and Yang Gao • Spatial and Temporal Distribution of LPG • Strategy of hybrid optimization algorithms for Dispersion Concentration in Small-scale Space source parameters estimation of hazardous gas Yang Gao, Hui Zhang, Lei Xiao, Yanyun Fu and in field cases Xiaoxue Ma Yiduo Wang, Bin Chen, Zhengqiu Zhu and Chuan Ai

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• A Promising Searching Method 'Entrotaxis- ● On the Epistemological Aspects of Geo- Jump' for Seeking Hazardous Gas Source in a Computational Thinking and Curriculum Design Chemical Cluster Ningchuan Xiao (Ohio State University) Yong Zhao, Bin Chen, Zhengqiu Zhu, Rongxiao ● Panel Discussion: Identifying Research Wang, Hailiang Chen and Xiaogang Qiu Opportunities for Geo-computational • Determination of the Number and Distribution Education Ningchuan Xiao (Ohio State University), of Charging Stations for Electric Vehicles Joon Heo (Yonsei University, South Korea), Erik Hoel Mengna Zhu, Bin Chen, Yatai Ji and Jie Zhang (ESRI), Avipsa Roy (Arizona State University) • Chemical Cluster Environmental Protection Patrolling Game Based on Cooperation 3:30 PM - 4:00 PM Coffee Break Mechanism Feiran Chen, Bin Chen, Steven Zhu and Chuan Ai 4:00 PM - 5:30 PM Session 4 5:10 PM - 5:20 PM Best Paper Voting ● Geocomputation with open-source software under Linux: Hands-on training for 5:20 PM - 5:40 PM Closing Remarks computational thinking and skills Giuseppe Amatulli (Yale University) and Tushar Sethi (Spatial Ecology) ● Open, Guided Discussion Geo-computational Thinking in

Education (GeoEd) Location-based Recommendations, 9:00 AM - 9:10 AM Welcome Geosocial Networks and 9:10 AM - 10:40 AM Session 1 Geoadvertising (LocalRec)

● Introduction to RPPs in GeoComputation 9:00 AM - 9:10 Opening Remarks Amr Magdy and Coline Dony ● Keynote Talk: Spatial Computing Education: A 9:10 - 10:40 Session 1: Spatial Analytics Perspective Shashi Shekhar (University of Minnesota) Classifying Points of Interest with Minimum ● Geo-Computational Thinking in the Third Grade ● Thomas C. Hammond, Julie Oltman (Lehigh Metadata University) and Meghan Manfra (NC State University) Giorgos Giannopoulos, Athena Research Center, Greece Konstantinos Alexis, Athena Research Center, Greece 10:40 AM - 11:00 AM Coffee Break Nikos Kostagiolas, Athena Research Center, Greece Dimitrios Skoutas, Athena Research Center, Greece 11:00 AM - 12:00 PM Session 2 ● A Road Generalization Method using Layered Stroke Networks ● Some Observations Regarding Yonghwan Kim, Nagoya Institute of Technology, Geocomputational Teaching through Japan Interdisciplinary Teams Hiroaki Fukuyasu, Nagoya Institute of Technology, Japan Denis J. Dean (University of Texas at Dallas) Daisuke Yamamoto, Nagoya Institute of Technology, ● Observations on the Gaps and Opportunities for Japan Geocomputation Naohisa Takahashi, Nagoya Institute of Technology, Diana Sinton (University Consortium for Geographic Japan Information Science and Cornell University) ● Keynote 1 - Spatial Analytics for storing and analyzing GeoSocial data for Geoadvertising 12:00 PM - 1:30 PM Lunch Siva Ravada, Oracle Corporation, USA

1:30 PM - 3:30 PM Session 3 10:40 AM - 11:00 AM Coffee Break

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11:00 AM - 12:30 PM Session 2: 3:30 PM – 4:00 PM Coffee Break Recommendations ● Intelligent sightseeing in immensely manifold 4:00 PM – 5:30 PM Session 4: Geoadvertising and cities: case of 2018 FIFA World Cup host cities Location-Based Services Ksenia Mukhina, ITMO University, Alexander Visheratin, ITMO University, Russia ● Keynote 2 - Geo-marketing and Situated Denis Nasonov, ITMO University, Russia Consumers: Opportunities and Challenges Lev Manovich, University of Tyumen, Russia Syagnik Banerjee, University of Michigan-Flint, MI, ● Inferring Ratings for Custom Trips from Rich USA GPS Traces ● Uplift modeling for location-based online Theodoros Chondrogiannis, University of Konstanz, advertising Germany Shogo Kawanaka, Nara Institute of Science and Mouzhi Ge, Masaryk University, Czech Republic Technology, Japan ● Emotion Predictions in Geo-Textual Data using Daisuke Moriwaki, CyberAgent Inc, Japan Spatial Statistics and Recommendation ● SeMap: Automatic Semantic Mapping for Large- Systems Scale Indoor Spaces Aisha Sikder, George Mason University, VA, USA Xiaoqiang Teng, DiDi Chuxing, China Andreas Züfle, George Mason University, VA, USA Deke Guo, National University of Defense ● Defining and Measuring Fairness in Location Technology, China Recommendations Yulan Guo, National University of Defense Leonard Weydemann, Travel Data Solution, Austria; Technology, China Dimitris Sacharidis, Technische Universität Wien, Pengfei Xu, DiDi Chuxing, China Austria; Hannes Werthner, Technische Universität Yiping Meng, DiDi Chuxing, China Wien, Austria Runbo Hu, DiDi Chuxing, China 12:30 PM – 2:00 PM Lunch Break Hua Chai, DiDi Chuxing, China Zhong Liu, National University of Defense 2:00 PM – 3:30 PM Session 3: Privacy Technology, China ● A Location-based Social Network System ● Mobile Recommendation Challenges within a Integrating Mobile Augmented Reality and User Strong Privacy Oriented Paradigm Generated Content Denys Proux, Naver Labs Europe, France Yuanwen Yue, Wuhan University, China Frederic Roulland, Naver Labs Europe, France Jiaqi Ding, Wuhan University, China ● Catch Me If You Can: How Geo- Yuhao Kang, University of Wisconsin-Madison, WI, Indistinguishability Affects Utility In Mobility- USA Yueyao Wang, , China Based Geographic Datasets Kunlin Wu, Wuhan University, China Adriano Di Luzio, Sapienza University of Rome, Italy Teng Fei, Wuhan University, China Aline Carneiro Viana, INRIA, France Konstantinos Chatzikokolakis, University of Athens, 5:30 PM – 5:40 PM Closing Remarks Greece Georgi Dikov INRIA, France Catuscia Palamidessi LIX, Ecole Polytechnique, France Julinda Stefa, Sapienza University of Rome, Italy Prediction of Human Mobility ● Bokeh: Obfuscating Physical Infrastructure (PredictGIS) Maps Yugali Gullapalli, University of Wisconsin-Madison, WI, USA 9:00 AM - 9:05 AM Opening Remarks Jeremy Koritzinsky, University of Wisconsin-Madison, WI, USA 9:05 AM - 10:30 AM Session 1 Meenakshi Syamkumar, University of Wisconsin- Madison, WI, USA ● Keynote 1 Paul Barford, University of Wisconsin-Madison, WI, ● Predicting Traffic Accidents with Event USA Recorder Data (short paper) Ramakrishnan Durairajan, University of Oregon, OR, USA Yoshiaki Takimoto, NTT; Yusuke Tanaka, NTT; Joel Sommers, Colgate University, NY, USA Takeshi Kurashima, NTT; Shuhei Yamamoto, NTT; Maya Okawa, NTT; Hiroyuki Toda, NTT

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● Graph Analyses of Phone-Based Origin- University of Tokyo; Kaoru Sezaki, The University of Destination Data for Understanding Urban Tokyo Human Mobility in Seoul, Korea (short paper) ● -Posisi: An Extensive Real-Life GPS Hyoungjoon Lim, Yonsei University; Soohyun Kim, Trajectory Dataset in Southeast Asia Yonsei University; Joon Heo, Yonsei University Xiaocheng Huang, Grabtaxi Holdings; Yifang Yin, National University of Singapore; Simon Lim, 10:30 AM - 11:00 AM Coffee Break Grabtaxi Holdings; Guanfeng Wang, Grabtaxi Research and Development Centre; Bo Hu, Grabtaxi 11:00 AM - 12:00 PM Session 2 Holdings; Jagannadan Varadarajan, Grabtaxi Holdings; Shaolin Zheng, Grabtaxi Holdings; Roger ● A Novel Approach to Approximate Crime Zimmermann, National University of Singapore Hotspots to the Road Network 4:40 PM – 4:50 PM Closing Remarks Federal do Ceara; Ticiana L. Coelho da Silva, Federal

University of Ceara; Jose Florencio de Queiroz Neto, Universidade Federal do Ceara; Jose Macedo, Insight Data Science Lab; Wellington Silva, Universidade Federal do Rio Grande do Norte ● Enhancing a Crowd-based Delivery Network Analytics for Local Events and with Mobility Predictions News (LENS) Christian Schreckenberger, University of Mannheim; Christian Bartelt, University of Mannheim; Heiner 9:00 AM - 9:15 AM Opening Remarks Stuckenschmidt, University of Mannheim ● Predicting Traveler Next Choice of Activity with Location-Based Social Network Data 9:15 AM - 10:30 AM Session 1 To Diem, University of Washington; Dong Si, University of Washington; Ying Chen, Northwestern ● Keynote Talk 1: Local Dimensions: Towards University Platial data analytics 12:00 PM – 1:30 PM Lunch (not provided) Grant McKenzie, McGill University ● DeLLe: Detecting Latest Local Events from 1:30 PM – 3:30 PM Session 3 Geotagged Tweets Hong Wei, Hao Zhou, Jagan Sankaranarayanan, ● Keynote 2 Sudipta Sengupta, Hanan Samet ● Bike-Share Demand Prediction using Attention based Sequence to Sequence and Conditional 10:30 AM - 11:00 AM Coffee Break Variational AutoEncoder (Short paper) Tomohiro Mimura, NTT DOCOMO; Shin Ishiguro, NTT 11:00 AM - 11:50 AM Session 2 DOCOMO; Satoshi Kawasaki, NTT DOCOMO; Yusuke Fukazawa, NTT DOCOMO ● DeepSpot: Understanding Online Opinion Spam ● Spatio-Temporal Clustering of Traffic Data with by Text Augmentation using Sentiment Deep Embedded Clustering Encoder-Decoder Networks Reza Asadi, University of California, Irvine; Amelia Avik Nayak, Haiquan Chen, Xiaojun Ruan, Jinsong Regan, University of California, Irvine Ouyang ● Context-based Markov Model toward Spatio- ● Detecting (Unusual) Events in Urban Areas Temporal Prediction with Realistic Dataset using Bike-Sharing Data Kota Tsubouchi, Yahoo Japan Corporation; Tomoki Alex Lam, Matthew Schofield, Shen-Shyang Ho Saito, Yahoo Japan Corporation; Masamichi Shimosaka, Tokyo Institute of Technology 11:50 AM - 2:00 PM Lunch

3:30 PM – 4:00 PM Coffee Break 2:00 PM - 3:35 PM Session 3

4:00 PM – 4:40 PM Session 4 ● Keynote Talk 2: Multiscale event detection and forecasting in complex urban environments ● Using Mobile Sensing Technology for Capturing Alexander Visheratin, ITMO University People Mobility Information ● Scalable Community Detection over Geo-Social Chenwei Song, The University of Tokyo; Masaki Ito, Network The University of Tokyo; Yuuki Nishiyama, The Xiuwen Zheng, Qiyu Liu, Amarnath Gupta

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● A -based Solution to Fake Check-ins in Location-Based Social Networks Sara Migliorini, Mauro Gambini, Alberto Belussi 3:35 PM - 4:05 PM Coffee Break

4:05 PM - 4:15 PM Closing Remarks

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Advances in Resilient and Flood Monitoring Kuldeep Kurte Intelligent Cities (ARIC) 5:10 PM – 5:30 PM Closing Remarks 9:00 AM - 9:15 AM Opening Remarks

9:15 AM - 10:40 AM Session 1 Geospatial Humanities ● Array of Things: A Fitbit for a City Dr. Raj Sankaran 9:00 AM - 9:15 AM Opening Remarks and ● Vision for a Holistic (HSC)- Announcements Integrating Resiliency Framework via Crowdsourced Community Resiliency Information System (CRIS) 9:15 AM - 10:30 AM Session 1 Barnali Dixon ● Using Digital Trace Data to Identify Regions ● Preah Vihear Project: Obtaining 3D point-cloud and Cities data and its application to spatial distribution Christa Brelsford analysis of Khmer temples Mawo Kamakura, Hikaru Ikuta, Bo Zheng, Yoshihiro Sato, Masataka Kagesawa, Takeshi Oishi, Kaoru 10:40 AM - 11:00 AM Coffee Break Sezaki, Takeshi Nakagawa and Katsushi Ikeuchi ● High-Resolution Population Grid in the CONUS 11:00 AM - 12:10 PM Session 1 Using Microsoft Building Footprints: A ● Topic Modelling to Contextualize Event-based Feasibility Study Datasets: The Columbian Piece Process Xiao Huang, Cuizhen Wang and Zhenlong Li Ashlynn Daughton ● SONET: A Semantic Ontological Network Graph ● Mobility Pattern Analysis for Power Restoration for Managing Points of Interest Data Activities Using Geo-Tagged Tweets Hetereogeneity Bandana Kar Rachel Palumbo, Laura Thompson and Gautam ● In-Database Geospatial Analytics Using Python Thakur Avipsa Roy 12:10 PM – 2:00 PM Lunch Break 10:30 AM - 11:00 AM Coffee Break 2:00 PM – 3:25 PM Session 2 11:00 AM - 12:15 PM Session 2 ● The Built Environment and Syrian Refugee ● Keynote Talk Integration in Turkey: An Analysis of Mobile ● ADMSv2: A Modern Architecture for Phone Data Transportation Data Management and Analysis Clio Andris, Brynne Godfrey, Carleen Maitland and Chrysovalantis Anastasiou Matthew McGee ● Structuralizing Disaster-scene Data through ● Toponym disambiguation in historical Auto-captioning documents using network analysis of Alina Klerings qualitative relationships 3:25 PM – 4:00 PM Coffee Break Ludovic Moncla, Katherine McDonough, Denis Vigier, Thierry Joliveau and Alice Brenon 4:00 PM – 5:10 PM Session 2 ● Are We There Yet? Evaluating State-of-the-Art Deep Learning Geoparsers Using EUPEG as a ● Towards an Integrated and Realtime Benchmarking Platform Wayfinding Framework for Flood Events Jimin Wang and Yingjie Hu Jerry Mount 12:15 PM – 12:30 PM Closing Remarks ● Flood Depth Estimation from Web Images Zongling Meng ● Semantics-enabled Spatio-Temporal Modeling of Earth Observation Data: An application to

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GeoSpatial Simulation (GeoSim) ● ES-Band: A Novel Approach to Coordinate Green Wave System with Adaptation Evolutionary Strategies 2:00 PM - 2:15 PM Opening Remarks Zheng Ye (Shenzhen University), Zhao Zhigang (Shenzhen University), Ma Ding (Shenzhen 2:15 PM - 3:30 PM: Session 1 University), Jin Fengying (Wuhan University)

● SimCT: Spatial Simulation of Urban Evolution to 5:55 PM - 6:00 PM Closing Remarks Test Resilience of 5G Cellular Networks Teyu Hsiung (AT&T Labs-Research), Yaron Kanza (AT&T Labs-Research) ● Simulating and Modeling the Signal Attenuation of Wireless Local Area Network for Indoor Spatial Gems (SpatialGems) Positioning Terence Lines (University College London), Anahid 9:00 AM - 9:10 AM Welcome and Introduction Basiri (University College London) ● Spatiotemporal Simulation: Local Ripley’s K Function Parameterizes Adaptive Kernel 9:10 AM - 10:20 AM Paper Presentations Density Estimation Alexander Hohl (The University of Utah), Peilin Chen ● Heat Map Segmentation (Intermountain Healthcare) Gil Wolff, Amazon ● Online Location Trajectory Compression 3:30 PM - 4:00 PM Coffee Break ABM Musa, Amazon; James Biagioni, Carmera; Jakob Eriksson, University of Illinois at Chicago 4:00 PM - 5:55 PM Session 2 ● Spatial Data Generators Tin Vu, University of California, Riverside; Sara ● Invited Talk: Geospatial Simulation, Three Migliorini, University of Verona; Ahmed Eldawy, Ways University of California, Riverside; Alberto Belussi, Sarah Wise, University College London University of Verona ● Firm-level Behavior Control after Large-scale ● Complete and Sufficient Spatial Domination of Urban Flooding Using Multi-agent Deep Multidimensional Rectangles Reinforcement Learning Tobias Emrich, Harman International; Hans-Peter Shaofeng Yang (The University of Tokyo), Yoshiki Kriegel, Ludwig Maximilian University of Munich; Ogawa (The University of Tokyo), Koji Ikeuchi (The Andreas Zufle, George Mason University; Peer University of Tokyo), Yuki Akiyama (The University Kroger, Ludwig Maximilian University of Munich; of Tokyo), Ryosuke Shibasaki (The University of Matthias Renz, Christian-Albrechts-Universität at Kiel Tokyo) ● Minimal Representations of Polygons and ● Integrating CyberGIS-Jupyter and Spatial Polyhedra Agent-Based Modelling to Evaluate Emergency W. Randolph Franklin, Rensselaer Polytechnic Evacuation Time Institute Rebecca Vandewalle (University of Illinois at Urbana- ● Simplification of Indoor Space Footprints Champaign), Jeon-Young Kang (University of Illinois Joon-Seok Kim, George Mason University; Carola at Urbana-Champaign), Dandong Yin (University of Wenk, Tulane University Illinois at Urbana-Champaign), Shaowen Wang ● Speed Distribution from Normally Distributed (University of Illinois at Urbana-Champaign) Location Measurements John Krumm, Microsoft Research ● CyberGIS-Jupyter for Spatially Explicit Agent- Based Modeling: A Case Study on Influenza Transmission 10:20 AM – 10:30 AM Instructions for Jeon-Young Kang (University of Illinois at Urbana- commenting and assignment of group pairs Champaign), Jared Aldstadt (University at Buffalo, The State University of New York), Alexander Michels 10:30 AM - 11:00 AM Coffee Break (University of Illinois at Urbana-Champaign), Rebecca Vandewalle (University of Illinois at Urbana- Champaign), Shaowen Wang (University of Illinois at 11:00 AM- 12:30 PM A/B Editing Session Urbana-Champaign) ● Assemble into A/B teams, read other person's paper, note comments 14

● Give/take comments for paper A 4:00 PM - 5:15 PM Session 2 ● Give/take comments for paper B ● Edit your paper based on comments ● A Repository of Network-Constrained Trajectory Data 12:30 PM – 2:00 PM Lunch (on your own) Stefan Funke, University of Stuttgart; Sabine Storandt, University of Konstanz 2:00 PM – 3:30 PM C/D Editing Session ● Invited Speaker: Location Graphs for Movement ● Assemble into C/D teams, read other person's paper, Data Modeling, Analytics, and Visualization Craig Barnes, HERE Technologies note comments ● Give/take comments for paper C ● Give/take comments for paper D 5:15 PM - 5:45 PM Open discussion in small ● Edit your paper based on comments groups

3:30 PM – 4:00 PM Coffee Break 5:45 PM - 5:50 PM Closing Remarks

4:00 PM – 5:30 PM E/F Editing Session (optional)

● Assemble into E/F teams, read other person's paper, note comments Analytics for Big Geospatial Data ● Give/take comments for paper E (BigSpatial) ● Give/take comments for paper F ● Edit your paper based on comments 9:00 AM - 9:15 AM Opening Remarks

9:15 AM - 10:30 AM Session 1

Computing with Multifaceted • Keynote Talk Movement Data (MOVE++) Dr. Dalton D. Lunga, Oak Ridge National Laboratory • Distributed Moving Object Data Management in MobilityDB 2:00 PM - 2:10 PM Opening Remarks Mohamed Bakli, Mahmoud Sakr, Esteban Zimanyi

2:10 PM - 3:30 PM Session 1 10:30 AM - 11:00 AM Coffee Break 11:00 AM - 12:15 PM Session 2 ● Understanding Movement in Context with • geoEdge: A Real-time Analytics Framework for Heterogeneous Data Geospatial Applications Onur Derin, HERE Technologies; Aniket Mitra, HERE Ranga Raju Vatsavai, Bharathkumar Ramachandra, Technologies; Matei Stroila, HERE Technologies; Zexi Chen, John Jernigan Bram Custers, TU Eindhoven; Wouter Meulemans, • Efficient MapReduce Computation of TU Eindhoven; Marcel Roeloffzen, TU Eindhoven; Topological Relations for Big Geometries Alberto Kevin Verbeek, TU Eindhoven Belussi, Damiano Carra, Sara Migliorini, Mauro Negri ● Shared Micro-Mobility Patterns as Measures of • Fast Proximity Graph Generation with Spark City Similarity Arjun Subramanyam Varalakshmi, Chong WANG, Grant McKenzie, McGill University Christoph F. Eick ● Inferring Semantically Enriched Representative Trajectories 12:15 PM – 12:30 PM Closing Remarks Jana Seep, Westfälische Wilhelms-Universität Münster; Jan Vahrenhold, Westfälische Wilhelms- Universität Münster ● Latent Terrain Representations for Trajectory Prediction Andrew Feng, University of Southern California; Ride-hailing Algorithms, Andrew S. Gordon, University of Southern California Applications, and Systems (RAAS)

3:30 PM - 4:00 PM Coffee Break 15

1:30 PM - 1:45 PM: Opening Remarks : Cyrus 4:00 PM – 5:00 PM Session 2 Oral Presentations Shahabi ● Smartphone-based Vehicle Speed Inference 1:45 PM - 3:30 PM Session 1 Keynotes Without GPS Yao Tong, Beijing Jiaotong University; Ruipeng Gao, Beijing Jiaotong University; Shihua Zhao, Didi • Keynote Talk: Chuxing; Chi Li, Didi Chuxing; Weihuan Shu, Didi Xin Chen, Director of Engineering in the Highly Chuxing; Nan Ma, Didi Chuxing Automated Driving organization, HERE Technologies ● Exploring Personalization in the Application of • Keynote Talk: Intelligent Transportation Systems Laitu Yang, Vice General Manager of Cennavi, a Yang Liu, Southeast University; Cheng Lyu, professional big data company of NavInfo Group and Southeast University; Qixiu Cheng, Southeast a leading provider of traffic information services in University; Zhiyuan Liu, Southeast University China ● Road Status Prediction Based on Large-scale • Keynote Talk: Attention Diffusion Convolution Hua Chai, General Manager of DiDi Maps Jiayan Zhu, Didi Chuxing; Jingcheng Ni, Didi Chuxing; Jun Fang, Didi Chuxing; Cheng Li, Peking 3:30 PM - 4:00 PM Coffee Break & Poster University; Naiqiang Tan, Didi Chuxing; Hua Chai, Presentations Didi Chuxing

● Road Status Prediction Based on Large-scale 5:00 PM – 5:30 PM Session 3 Closing Attention Diffusion Convolution Jiayan Zhu, Didi Chuxing; Jingcheng Ni, Didi • Discussion & Awarding Ceremony Chuxing; Jun Fang, Didi Chuxing; Cheng Li, Peking • Closing Remarks: Tiger Qie University; Naiqiang Tan, Didi Chuxing; Hua Chai, Didi Chuxing ● Accurate Road Anomaly Detection by Trajectory Mining Kaiqiang An, Didi Chuxing; Guoping Liu, Didi Chuxing; Rongxiang Su, UC Santa Barbara; Jiachen AI for Geographic Knowledge Feng, Didi Chuxing; Nan Ma, Didi Chuxing; Daxin Discovery (GeoAI) Zheng, Didi Chuxing; Xiang Wen, Didi Chuxing; Runbo Hu, Didi Chuxing; Hua Chai, Didi Chuxing ● Analyzing the Gap Between Ride-hailing 9:00 AM - 9:05 AM Welcome and announcements Location and Pick-up Location with Geographical Contexts 9:10 AM - 10:30 AM Session 1 Yunlei Liang, University of Wisconsin-Madison; Song Gao, University of Wisconsin-Madison; Mingxiao Li, ● Keynote: HD Live Map for Automated Driving: Institute of Geographic Sciences and Natural An AI Approach Resources Research, Chinese Academy of Sciences; Yuhao Kang, University of Wisconsin-Madison; Dr. Xin Chen from HERE Technologies Jinmeng Rao, University of Wisconsin-Madison ● An Unsupervised Approach to Geographical ● Exploring Personalization in the Application of Knowledge Discovery Using Street Level and Intelligent Transportation Systems Street Network Images Yang Liu, Southeast University; Cheng Lyu, Stephen Law University College London London, UK; Southeast University; Qixiu Cheng, Southeast Daniel Mateo Neira Alvarez University College University; Zhiyuan Liu, Southeast University London London, UK ● Physics-Based Velocity Calculations for Trip ● A Deep Learning Based Illegal Parking Planning with Lightweight Motorized Personal Detection Platform Vehicles Zhengcong Yin Texas A&M University; Haoyi Xiong Evan Siroky, IBI Group University of Iowa; Xun Zhou University of Iowa; ● Smartphone-based Vehicle Speed Inference Daniel Goldberg Texas A&M University; Dave Bennett Without GPS University of Iowa; Chong Zhang Environmental Yao Tong, Beijing Jiaotong University; Ruipeng Gao, Systems Research Institute, Inc Beijing Jiaotong University; Shihua Zhao, Didi Chuxing; Chi Li, Didi Chuxing; Weihuan Shu, Didi Chuxing; Nan Ma, Didi Chuxing 10:30 AM - 11:00 AM Coffee Break

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11:00 AM - 12:20 PM Session 2 ● Kartta Labs: Unrendering Historical Maps ● ChangeNet: Learning to Detect Changes in Sasan Tavakkol Google Research, New York, NY; Satellite Images Yao-Yi Chiang Google Research, New York, NY; Tim Ying Chen Illinois Institute of Technology; Waters Waters Geospatial, Leeds, UK; Feng Han Xu Ouyang Illinois Institute of Technology; Google Research, New York, NY; Kisalaya Prasad Gady Agam Illinois Institute of Technology Google, New York, NY; Raimondas Kiveris Google ● Keras Spatial: Extending Deep Learning Research, New York, NY Frameworks for Preprocessing and On-The-Fly ● Land Use Inference from Mobility Traces Augmentation of Geospatial data John Krumm Microsoft Research, Redmond, WA; Aiman Soliman University of Illinois at Urbana- Kora Krumm Seattle Pacific University, Seattle, WA Champaign; Jeffrey Terstriep University of Illinois at ● Mapping Miscanthus Using Multi-Temporal Urbana-Champaign Convolutional Neural Network and Google Earth ● Assessing the Placeness of Locations through Engine User-contributed Content Yanan Xin The Pennsylvania State University, Xiaoyi Yuan George Mason University; Andrew University Park, PA; Paul R. Adler United States Crooks George Mason University Department of Agriculture, Agricultural Research Service (USDA-ARS) University Park, PA ● Urban Flood Mapping with Residual Patch Multi-scale Graph Convolutional Network for Similarity Learning ● Bo Peng University of Wisconsin – Madison; Xinyi Liu Intersection Detection from GPS Trajectories University of Wisconsin – Madison; Zonglin Meng Yifang Yin National University of Singapore, University of Wisconsin – Madison; Qunying Huang Singapore; Abhinav Sunderrajan GrabTaxi Holdings, Singapore; Xiaocheng Huang GrabTaxi Holdings, University of Wisconsin – Madison Singapore; Jagannadan Varadarajan GrabTaxi 12:30 PM – 2:00 PM Lunch (on your own) Holdings, Singapore; Guanfeng Wang GrabTaxi Holdings, Singapore; Dhruva Sahrawat National 2:00 PM – 3:30 PM Session 3 University of Singapore, Singapore; Ying Zhang National University of Singapore, Singapore; Roger Zimmermann National University of Singapore, ● Keynote: Singapore; See-Kiong Ng National University of Professor Raju Vatsavai, North Carolina State Singapore, Singapore University ● STIETR: Spatial-temporal Intelligent E-Taxi ● A Machine Learning Approach to Estimate Recommendation System Using GPS Median Income Levels of Sub-Districts in Trajectories Thailand Using Satellite and Geospatial Data Ke Mei Shenzhen University; Wei Tu Shenzhen Ugyen Jigten Dorji NECTEC, Thailand; Anon University; Qingquan Li Shenzhen University; Haoyu Plangprasopchok NECTEC, Thailand; Navaporn Ye Wuhan University; Tianhong Zhao Shenzhen Surasvadi NECTEC, Thailand; Chaiyaphum University; Yatao Zhang Wuhan University Siripanpornchana NECTEC, Thailand ● Contextualizing Space and Time for GeoAI ● A Traffic Sign Discovery Driven System for JITAIs (Just-in-Time Adaptive Interventions) Traffic Rule Updating Jiue-An Yang UC San Diego, San Diego, CA; Marta Tengfei Xing Didi Chuxing; Yang Gu Didi Chuxing; Jankowska UC San Dieo, San Diego, CA Zhichao Song Didi Chuxing; Zhihui Wang Didi Imitation Learning from Human-Generated Chuxing; Pengfei Xu Didi Chuxing; Runbo Hu Didi ● Spatial-Temporal Data (Vision Paper) Chuxing; Hua Chai Didi Chuxing Yanhua Li Worcester Polytechnic Institute, USA; ● City-level Geolocation of Tweets for Real-time Weixiao Huang Worcester Polytechnic Institute, USA Visual Analytics Luke Snyder Purdue University; Morteza Karimzadeh University of Colorado Boulder; Ray Chen Purdue 5:10 PM Wrap up discussion – Future Direction University; David Ebert Purdue University and Collaboration Opportunities ● Estimating the Spatial Resolution of Very High- Resolution Overhead Imagery ● Shortest-Path Diversification through Network Haolin Liang University of California, Merced; Shawn Penalization: A Washington DC area case study Newsam University of California, Merced Dan Cheng, Olga Gkountouna, Andreas Züfle, Dieter Pfoser and Carola Wenk 3:30 PM – 4:00 PM Coffee Break 5:00 PM – 5:10 PM Closing Remarks

4:00 PM – 5:10 PM Session 4 17

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of Maryland), Baihua Zheng (Singapore Management Poster, Demo and SRC University) ● Routines - A System for Inference, Analysis and Papers Prediction of Users Daily Location Visits Michael R. Evans (Microsoft), Renzhong Wang (Microsoft), Dragomir Yankov (Microsoft), Senthil Palanisamy (Microsoft), Siddhartha Arora (Microsoft), Poster Papers Wei Wu (Microsoft) ● DeepTrip: Adversarially Understanding Human ● Streaming Route Assignment for Connected Mobility for Trip Recommendation Autonomous Vehicles Qiang Gao (School of Information and Software Sadegh Motallebi (The University of Melbourne), Engineering, University of Electronic Science and Hairuo Xie (The University of Melbourne), Egemen Technology of China), Goce Trajcevski (Iowa State Tanin (The University of Melbourne), Jianzhong Qi University), Fan Zhou (School of Information and (The University of Melbourne), Kotagiri Software Engineering, University of Electronic Ramamohanarao (The University of Melbourne) Science and Technology of China), Kunpeng Zhang ● City2City: Translating Place Representations (University of Maryland), Ting Zhong (School of across Cities Information and Software Engineering, University of Takahiro Yabe (Purdue University), Kota Tsubouchi Electronic Science and Technology of China), Fengli (Yahoo Japan Research), Toru Shimizu (Yahoo! Zhang (School of Information and Software Japan), Yoshihide Sekimoto (The University of Engineering, University of Electronic Science and Tokyo), Satish Ukkusuri (Purdue University) Technology of China) ● GPS2Vec: Towards Generating Worldwide GPS ● Semantic-Enhanced Learning (SEL) on Artificial Embeddings Neural Networks Using the Example of Yifang Yin (National University of Singapore), Semantic Location Prediction Zhenguang Liu (Zhejiang Gongshang University), Antonios Karatzoglou (Robert Bosch GmbH), Michael Ying Zhang (National University of Singapore), Beigl (TecO, Pervasive Computing Systems, KIT) Sheng Wang (Alibaba), Rajiv Shah (IIIT Delhi), ● DeepMM: Deep Learning Based Map Matching Roger Zimmermann (National University of with Data Augmentation Singapore) Kai Zhao (Tsinghua University), Jie Feng (Tsinghua ● Towards Misregistration-Tolerant Change University), Zhao Xu (Tsinghua University), Tong Xia Detection using Deep Learning Techniques with (Tsinghua University), Yong Li (Tsinghua University), Object-Based Image Analysis Depeng Jin (Tsinghua University) Tao Liu (Oak Ridge National Laboratory), Lexie Yang ● Predicting Perceived Level of Cycling Safety for (Oak Ridge National Laboratory), Dalton Lunga (Oak Cycling Trips Ridge National Laboratory) Jiahui Wu (University of Maryland), Lingzi Hong ● Scaling Address Parsing Sequence Models (University of Maryland), Vanessa Frias-Martinez through Active Learning (University of Maryland) Helen Craig (Microsoft), Dragomir Yankov ● Graph Convolutional Networks for Road (Microsoft), Renzhong Wang (Microsoft), Pavel Networks Berkhin (Microsoft), Wei Wu (Microsoft) Tobias Skovgaard Jepsen (Aalborg University), ● Topological Generalization of Continuous Christian Sondergaard Jensen (Aalborg University), Valued Raster Data Thomas Dyhre Nielsen (Aalborg University) Padraig Corcoran (Cardiff University) ● Learning to Find Hydrological Corrections ● Flight Delay Prediction using Airport Situational Lars Arge (Aarhus University), Allan Gronlund Awareness Map (Aarhus University), Jonas Tranberg (Aarhus Wei Shao (RMIT University), Arian Prabowo (RMIT University), Svend Christian Svendsen (Aarhus University), Sichen Zhao (RMIT University), Siyu Tan University) (Xi’an University of Technology), Piotr Koniusz ● Simple Distances for Trajectories via (CSIRO), Flora D. Salim (RMIT University), Jeffrey Landmarks Chan (RMIT University), Xinhong Hei (Xi’an Jeff Phillips (University of Utah), Pingfan Tang University of Technology), Bradley Fees (Grumman (University of Utah) Corporation) ● Which One is Correct, The Map or The GPS ● Querying Continuous Recurrent Convoys of Trace Interest Mohamed Ali (Center of Data Science, University of Munkh-Erdene Yadamjav (RMIT University), Zhifeng Washington, Tacoma), Abdeltawab Hendawi Bao (RMIT University), Farhana Choudhury (The (University of Virginia), Ashley Song (Microsoft), University of Melbourne), Hanan Samet (University Peiwei Cao (Microsoft), Zhihong Zhang (Microsoft), Sree Sindhu Sabbineni (Center of Data Science, 19

University of Washington, Tacoma), Jianwei Shen of Tokyo), Renhe Jiang (The University of Tokyo), (Center of Data Science, University of Washington, Kota Tsubouchi (Yahoo! JAPAN Research), Ryosuke Tacoma), John Krumm (Microsoft Research, Shibasaki (The University of Tokyo) Redmond, Microsoft Corporation) ● Parallel In-Memory Evaluation of Spatial Joins ● Linear Hotspot Discovery on All Simple Paths: A Dimitrios Tsitsigkos (Institute for the Management of Summary of Results Information Systems, RC Athena), Panagiotis Bouros Xun Tang (University of Minnesota), Jayant Gupta (Johannes Gutenberg University Mainz), Nikos (University of Minnesota), Shashi Shekhar Mamoulis (University of Ioannina), Manolis Terrovitis (University of Minnesota) (Institute for the Management of Information ● Conflict-Free Evacuation Route Planner: A Systems, RC Athena) Summary of Results ● Road Network Reconstruction from satellite Roxana Herschelman (Florida Atlantic University), images with Machine Learning Supported by Kwangsoo Yang (Florida Atlantic University) Topological Methods ● Learning Embeddings of Spatial, Textual and Tamal Dey (The Ohio State University), Jiayuan Temporal Entities in Geotagged Tweets Wang (The Ohio State University), Yusu Wang (The Hong Wei (University of Maryland), Janit Anjaria Ohio State University) (University of Maryland), Hanan Samet (University of ● Efficient Computation of Multi-Modal Public Maryland) Transit Traffic Assignments using ULTRA ● ST-Discovery : Data-Driven Discovery of Spatio- Jonas Sauer (Karlsruhe Institute of Technology), Temporal Dependencies in Urban Road Dorothea Wagner (Karlsruhe Institute of Networks Technology), Tobias Zundorf (Karlsruhe Institute of Nicolas Tempelmeier (L3S Research Center), Udo Technology) Feuerhake (Leibniz Universitat Hannover), Oskar ● Parking Lot Instance Segmentation from Wage (Leibniz Universitat Hannover), Elena Satellite Imagery through Associative Demidova (L3S Research Center) Embeddings ● 20 Years of Mobility Modeling & Prediction: Tessa Berry (HERE Technologies), Nicholas Dronen Trends, Shortcomings & Perspectives (HERE Technologies), Brett Jackson (HERE Vaibhav Kulkarni (UNIL-HEC Lausanne), Benoit Technologies), Ian Endres (HERE Technologies) Garbinato (University of Lausanne) ● Push-based Spatial for ● klcluster: Center-based Clustering of Enriching Semantic Tags in OpenStreetMap Trajectories Srinivasa Raghavendra Bhuvan Gummidi (Aalborg Kevin Buchin (Eindhoven University of Technology), University), Esteban Zimanyi (Universite Libre de Anne Driemel (University of Bonn), Natasja van de Bruxelles), Torben Bach Pedersen (Aalborg L'Isle (Eindhoven University of Technology), Andre University), Xike Xie (University of Science and Nusser (Max-Planck-Institut fur Informatik) Technology of China) ● DeepSPACE: Approximate Geospatial Query ● A Data-Driven Approach to Understanding and Processing with Deep Learning Predicting the Spatiotemporal Availability of Dimitri Vorona (Technical University of Munich), Street Parking Andreas Kipf (Technical University of Munich), Mingxiao Li (Institute of Geographic Sciences and Thomas Neumann (Technical University of Munich), Natural Resources Research, Chinese Academy of Alfons Kemper (Technical University of Munich) Sciences), Song Gao (University of Wisconsin- ● Learning Domain Specific Models for Toponym Madison), Yunlei Liang (University of Wisconsin- Interlinking Madison), Joseph Marks (GeoDS Lab, University of Vassilis Kaffes (University of Peloponnese), Giorgos Wisconsin-Madison, WI), Yuhao Kang (University of Giannopoulos (IMSI Institute, "Athena" Research Wisconsin-Madison), Moyin Li (Pace Suburban Bus) Center), Nikos Karagiannakis (IMSI Institute, ● Deformable Part Models for Automatically "Athena" Research Center), Nontas Tsakonas Georeferencing Historical Map Images (Eratosthenes S.A., Greece) Nicholas Howe (Smith College), Jerod Weinman ● Breadcrumbs: A Rich Mobility Dataset with (Grinnell College), John Gouwar (Grinnell College), Point-of-Interest Annotations Aabid Shamji (Grinnell College) Arielle Moro (University of Neuchatel), Vaibhav ● REGAL: A Regionalization framework for school Kulkarni (UNIL-HEC Lausanne), Pierre-Adrien boundaries Ghiringhelli (UNIL-HEC Lausanne), Bertil Chapuis Subhodip Biswas (VIRGINIA POLYTECHNIC (UNIL-HEC Lausanne), Benoit Garbinato (UNIL-HEC INSTITUTE), Fanglan Chen (VIRGINIA POLYTECHNIC Lausanne), Kevin Huguenin (UNIL-HEC Lausanne) INSTITUTE), Zhiqian Chen (VIRGINIA POLYTECHNIC ● Deep Multiple Instance Learning for Human INSTITUTE), Andreea Sistrunk (VIRGINIA Trajectory Identification POLYTECHNIC INSTITUTE), Nathan Self (VIRGINIA Zipei Fan (The University of Tokyo), Xuan Song (The POLYTECHNIC INSTITUTE), Chang-Tien Lu University of Tokyo), Quanjun Chen (The University 20

(VIRGINIA POLYTECHNIC INSTITUTE), Naren Shen (Center of Data Science, University of Ramakrishnan (VIRGINIA POLYTECHNIC INSTITUTE) Washington, Tacoma), John Krumm (Microsoft ● Statistically Discriminative Sub-trajectory Research, Redmond, Microsoft Corporation) Mining with Multiple Testing Correction ● Simulating Urban Patterns of Life: A Geo-Social Duy Vo Nguyen Le (Nagoya Institute of Technology), Data Generation Framework Takuto Sakuma (Nagoya Institute of Technology), Joon-Seok Kim (George Mason University), Hamdi Taiju Ishiyama (Nagoya Institute of Technology), Kavak (George Mason University), Umar Manzoor Hiroki Toda (Nagoya Institute of Technology), (George Mason University), Andrew Crooks (George Kazuya Arai (Nagoya Institute of Technology), Mason University), Dieter Pfoser (George Mason Masayuki Karasuyama (Nagoya Institute of University), Carola Wenk (George Mason University), Technology), Yuta Okubo (Sompo Japan Nipponkoa Andreas Zuefle (George Mason University) Insurance Inc), Masayuki Sunaga (Sompo Japan ● Spatial Entity Matching with GeoAlign Nipponkoa Insurance Inc), Yasuo Tabei (RIKEN Nelly Barret (Universite Claude Bernard Lyon 1), Center for Advanced Intelligence Project), Ichiro Fabien Duchateau (Université Claude Bernard Lyon Takeuchi (Nagoya Institute of Technology) 1), Franck Favetta (Laboratoire d'InfoRmatique en ● FairST: Equitable Spatial and Temporal Demand Image et Systemes d'information), Ludovic Moncla Prediction for New Mobility Systems (LIRIS (UMR 5205 CNRS), INSA Lyon) An Yan (University of Washington), Bill Howe ● A Hybrid Temporal GIS Representation for (University of Washington) Coastal Dynamics ● The Phase Abstraction for Estimating Energy Younes Hamdani (Naval Academy Research Consumption and Travel Times for Electric Institute), Remy Thibaud (Naval Academy Research Vehicle Route Planning Institute), Christophe Claramunt (Naval Academy Payas Rajan (University of California, Riverside), Research Institute) Chinya Ravishankar (University of California, ● CrowdZIP: A System to Improve Reverse ZIP Riverside) Code Geocoding using Spatial and Crowdsourced Data Demonstration Papers Tunaggina Khan (George Mason University), Anowarul Kabir (George Mason University), Dieter Pfoser (George Mason University), Andreas Zuefle ● Scalable Multi-resolution Spatial Visualization (George Mason University) for Anthropogenic Litter Data ● Towards a qualitative analysis of interpolation Yunfan Kang (University of California, Riverside), methods for deformable moving regions Ziang Zhao (University of California, Riverside), Amr Jose Duarte (University of Aveiro), Bruno Silva Magdy (University of California, Riverside), Win (University of Aveiro), Jose Moreira (University of Cowger (University of California, Riverside), Andrew Aveiro), Paulo Dias (University of Aveiro), Enrico Gray (University of California, Riverside) Miranda (University of Aveiro), Rogerio Luis De ● DrugTracker: A Community-focused Drug Carvalho Costa (University of Aveiro) Abuse Monitoring and Supporting System using ● Height and Facet Extraction from LiDAR Point Social Media and Geospatial Data Cloud for Automatic Creation of 3D Building Han Hu (New Jersey Institute of Technology), Models Nhathai Phan (New Jersey Institute of Technology), Philip Brown (AT&T Labs-Research), Yaron Kanza Xinyue Ye (New Jersey Institute of Technology), (AT&T Labs-Research), Velin Kounev (AT&T Labs- Ruoming Jin (Kent State University), Dejing Dou Research) (University of Oregon), Kele Ding (Kent State ● VROffice: interactive and immersive 3D University), Huy Vo (City University of New York) visualization, manipulation and correlation of ● Witnessing Crime through Tweets: A Crime multivariable georeferenced datasets in virtual Investigation Tool based on Social Media reality Panote Siriaraya (Kyoto Institute of Technology), Pedro Rossa (Vale do Rio do Sinos University Yihong Zhang (Osaka University), Yuanyuan Wang UNISINOS), Rafael Horota (Vale do Rio do Sinos (Yamaguchi University), Yukiko Kawai (Kyoto University UNISINOS), Alysson Soares Aires (Vale do Sangyo/Osaka University), Peter Jeszenszky Rio do Sinos University UNISINOS), Lucas (Ritsumeikan University), Adam Jatowt (Kyoto Kupssinsku (Vale do Rio do Sinos University University) UNISINOS), Carolina Jung Kremer (Vale do Rio do ● An Interactive Map-based System for Visually Sinos University UNISINOS), Eniuce Souza (State Exploring and Cleaning GPS Traces University of Maringa), Ademir Marques Jr. (Vale do Mohamed Ali (University of Washington), Abdeltawab Rio do Sinos University UNISINOS), Luiz Gonzaga Jr. Hendawi (University of Virginia), Ashley Song (Vale do Rio do Sinos University UNISINOS), (Microsoft), Peiwei Cao (Microsoft), Zhihong Zhang Mauricio Veronez (Vale do Rio do Sinos University (Microsoft), Sree Sindhu Sabbineni (Center of Data Science, University of Washington, Tacoma), Jianwei 21

UNISINOS), Caroline Cazarin (CENPES - PETROBRAS)

Student Research Competition Papers

● SoloCell: Efficient Indoor Localization Based on Limited Cell Network Information And Minimal Fingerprinting Hamada Rizk (Egypt-Japan University of Science and Technology) ● Towards Scalable Spatial Probabilistic Graphical Modeling Ibrahim Sabek(University of Minnesota) ● STGGAN: Spatial-temporal Graph Generation Liming Zhang (George Mason University) ● Generating Historical Maps from Online Maps Zekun Li (University of Southern California), Yao-Yi Chiang (University of Southern California) ● SRC: Discovering Human Activity Community in A City Tianyuan Huang (South China University of Technology) ● Spatial Cluster Detection with Social Media Mobility Patterns Roberto Souza (UFMG)

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