Tuesday Wednesday Thursday Friday

Tuesday, November 6, 2018


Student Research Competition

10:00 AM - 1:00 PM

SRC Phase 2: Poster session

4:00 - 5:00 PM

SRC Phase 3: Presentations of finalists

Wednesday, November 7, 2018

7:00 AM - 8:00 AM   Breakfast and Registration

8:00 AM - 8:10 AM   Opening

8:10 AM - 9:10 AM   Session 1: Map Generation

  • RoadRunner: Improving the Precision of Road Network Inference from GPS Trajectories
    Songtao He (MIT), Favyen Bastani (Massachusetts Institute of Technology), Sofiane Abbar (Qatar Computing Research Institute, HBKU), Mohammad Alizadeh (MIT), Hari Balakrishnan (MIT), Sanjay Chawla (Qatar Computing Research Institute), Samuel Madden (MIT)

  • Efficient Generation of Geographically Accurate Transit Maps
    Hannah Bast (University of Freiburg), Patrick Brosi (University of Freiburg), Sabine Storandt (JMU Würzburg)

  • Machine-Assisted Map Editing
    Favyen Bastani (Massachusetts Institute of Technology), Songtao He (Massachusetts Institute of Technology), Sofiane Abbar (Qatar Computing Research Institute, HBKU), Mohammad Alizadeh (Massachusetts Institute of Technology), Hari Balakrishnan (Massachusetts Institute of Technology), Sanjay Chawla (Qatar Computing Research Institute, HBKU), Sam Madden (Massachusetts Institute of Technology)

9:10 AM - 10:10 AM   Invited Talk

10:10 AM - 10:40 AM   Break

10:40 AM - 12:00 PM   Session 2: Images and Terrains

  • A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery
    Nathan Jacobs (University of Kentucky), Adam Kraft (Orbital Insight, Inc.), Muhammad Usman Rafique (University of Kentucky), Ranti Dev Sharma (Orbital Insight, Inc.)

  • What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks
    Xueqing Deng (University of California, Merced), Yi Zhu (University of California, Merced), Shawn Newsam (University of California, Merced)

  • Flood Risk Analysis on Terrains under the Multi-Flow-Direction Model
    Aaron Lowe (Duke University), Pankaj Agarwal (Duke University)

  • A multi-resolution approach for viewsheds on 2D terrains
    Andrew Prescott (Bowdoin College), Laura Toma (Bowdoin College)

12:00 PM - 1:30 PM   Lunch

1:30 PM - 3:00 PM   Fast Forward Session

3:00 PM - 3:30 PM   Break

3:30 PM - 4:10 PM   Session 3: Vision Papers

  • Geofences in the Sky: Herding Drones with Blockchains and 5G
    Tamraparni Dasu (AT&T Labs-Research), Yaron Kanza (AT&T Labs-Research), Divesh Srivastava (AT&T Labs-Research)

  • Intelligent Geovisualisations for Open Government Data
    Auriol Degbelo (Institute for Geoinformatics - University of Muenster), Christian Kray (Institute for Geoinformatics (ifgi))

  • Vision Paper: Reinforcement Learning in Smart Spatio-Temporal Environments
    Sebastian Schmoll (Ludwig Maximilian University of Munich), Matthias Schubert (Ludwig Maximilian University of Munich)

  • Understanding the Human Brain Via its Spatio-temporal Properties
    Ouri Wolfson (University of Illinois at Chicago)

4:10 PM - 4:50 PM   Session 4: Path Planning

  • Sensible Edge Weight Rounding for Realistic Path Planning
    Sabine Storandt (JMU Würzburg)

  • Physics-guided Energy-efficient Path Selection: A Summary of Results
    Yan Li (University of Minnesota), Shashi Shekhar (University of Minnesota), Pengyue Wang (University of Minnesota), William Northrop (University of Minnesota)

4:50 PM - 5:30 PM Sponsors Presentation Session

5:30 PM - 6:00 PM   Break

6:00 PM - 7:00 PM   ACM SIGSPATIAL Business Meeting

7:00 PM - 11:00 PM   Poster Reception, Demo Session

Thursday, November 8, 2018

7:00 AM - 8:00 AM   Breakfast and Registration

8:00 AM - 9:00 AM   Session 5: Similarity and Scalability

  • Fast Similarity Search on Keyword-Induced Point Groups
    Zhe Li (The Hong Kong Polytechnic University), Yu Li (Hangzhou Dianzi University), Man Lung Yiu (The Hong Kong Polytechnic University)

  • Scalable Hybrid Similarity Join over Geolocated Time Series
    Georgios Chatzigeorgakidis (University of Peloponnese), Kostas Patroumpas (Research Center "Athena"), Dimitrios Skoutas (Research Center "Athena"), Spiros Athanasiou (Research Center "Athena"), Spiros Skiadopoulos (University of Peloponnese)

  • TurboReg: A Framework for Scaling Up Spatial Logistic Regression Models
    Ibrahim Sabek (University of Minnesota, USA), Mashaal Musleh (University of Minnesota, USA), Mohamed Mokbel (Qatar Computing Research Institute)

9:00 AM - 10:00 AM   Invited Talk

10:00 AM - 10:30 AM   Break

10:30 AM - 11:30 AM   Session 6: Mobility Analysis

  • Improved bounds on Information Dissemination by Manhattan Random Waypoint Model
    Aria Rezaei (Stony Brook University), Jie Gao (Stony Brook University), Jeff Phillips (University of Utah), Csaba Toth (California State University Northridget)

  • Stepping Stone Graph for Public Movement Analysis
    Sameera Kannangara (The University of Melbourne), Egemen Tanin (The University of Melbourne), Aaron Harwood (The University of Melbourne), Shanika Karunasekera (The University of Melbourne)

  • Topological Signatures For Fast Mobility Analysis
    Abhirup Ghosh (The University of Edinburgh), Benedek Rozemberczki (The University of Edinburgh), Subramanian Ramamoorthy (FiveAI Ltd.; University of Edinburgh), Rik Sarkar (The University of Edinburgh)

11:30 AM - 12:30 PM   Session 7: Spatial Crowdsourcing and Pricing

  • Stella: Geotagging Images via Crowdsourcing
    Christopher Jonathan (University of Minnesota), Mohamed F. Mokbel (University of Minnesota)

  • On the Value of Spatiotemporal Information: Principles and Scenarios
    Heba Aly (University of Maryland), John Krumm (Microsoft Research, Microsoft Corporation), Gireeja Ranade (Microsoft Research, Microsoft Corporation), Eric Horvitz (Microsoft Research, Microsoft Corporation)

  • ADAPT-Pricing: A Dynamic And Predictive Technique for Pricing to Maximize Revenue in Ridesharing Platforms
    Mohammad Asghari (University of Southern California), Cyrus Shahabi (University of Southern California)

12:30 PM - 2:00 PM   Lunch

2:00 PM - 3:20 PM   Session 8: Systems and Industrial Experiences Papers

  • DOS: A Spatial System Offering Extremely High-Throughput Road Distance Computations (Systems Paper)
    Shangfu Peng (University of Maryland), Hanan Samet (, Jagan Sankaranarayanan (Google)

  • Evaluating Spatial-Keyword Queries on Streaming Data
    Abdulaziz Almaslukh (University of California, Riverside), Amr Magdy (University of California, Riverside)

  • Adaptive Spatial-Keyword Indexing Over a Distributed Data Streaming Cluster
    Ahmed Mahmood (Purdue University), Walid Aref (Purdue University)

  • Efficient astronomical query processing using Spark
    Mariem Brahem (University of Versailles-Saint-Quentin), Karine Zeitouni (University of Versailles-Saint-Quentin), Laurent Yeh (University of Versailles-Saint-Quentin)

3:20 PM - 3:50 PM   Break

3:50 PM - 5:10 PM   Session 9: Systems and Industrial Experiences Papers

  • Prescriptive Analytics System for Long-Range Aircraft Conflict Detection and Resolution (Systems Paper)
    Samet Ayhan (University of Maryland), Pablo Costas (Boeing Research and Technology Europe), Hanan Samet (University of Maryland)

  • A Trace Framework for Analyzing Utility Networks: A Summary of Results
    Dev Oliver (Environmental Systems Research Institute (Esri)), Erik Hoel (Environmental Systems Research Institute (Esri))

  • On-the-fly Mobility Event Detection over Aircraft Trajectories (Industrial paper)
    Kostas Patroumpas (Information Systems Management Institute, Athena Research Center), Nikos Pelekis (University of Piraeus), Yannis Theodoridis (University of Piraeus)

  • StreetNet: Preference Learning with Convolutional Neural Network on Urban Crime Perception
    Kaiqun Fu (Virginia Tech), Zhiqian Chen (Virginia Tech), Chang-Tien Lu (Virginia Tech)

5:10 PM - 5:50 PM   Contest Session

  • Fast Analysis of Upstream Features on Spatial Networks (GIS Cup) Salles Viana Gomes Magalhães (Universidade Federal de Viçosa), W. Randolph Franklin (Rensselaer Polytechnic Institute), Ricardo dos Santos Ferreira (Universidade Federal de Viçosa)

  • Wüpstream: Efficient Enumeration of Upstream Features (GIS Cup) Thomas C. van Dijk (Würzburg University), Tobias Greiner (Würzburg University), Bas den Heijer (ORTEC), Nadja Henning (Würzburg University), Felix Klesen (Würzburg University), Andre Löffler (Würzburg University)

  • Using Biconnected Components for Efficient Identification of Upstream Features in Large Spatial Networks (GIS Cup) Zach Goldthorpe (University of Alberta, Canada), Jason Cannon (University of Alberta, Canada), Jesse Farebrother (University of Alberta, Canada), Zachary Friggstad (University of Alberta, Canada), Mario A. Nascimento (University of Alberta, Canada)

5:50 PM - 7:00 PM   Break

7:00 PM - 7:30 PM   Drinks

7:30 PM - 11:00 PM   Banquet

Friday, November 9, 2018

7:00 AM - 8:00 AM   Breakfast and Registration

8:00 AM - 9:00 AM  Session 10: Indexing and Query Processing

  • Multi-resolution sketches and locality sensitive hashing for fast trajectory processing
    Maria Astefanoaei (The University of Edinburgh), Paul Cesaretti (City University of New York), Panagiota Katsikouli (University of Lyon, Inria, INSA-Lyon, CITI), Mayank Goswami (City University of New York), Rik Sarkar (The University of Edinburgh)

  • A Generic Database Indexing Framework for Large-Scale Geographic Knowledge Graphs
    Yuhan Sun (Arizona State University), Mohamed Sarwat (Arizona State University)

  • Efficient Progressive and Diversified Top-k Best Region Search
    Dimitrios Skoutas (Research Center "Athena"), Dimitris Sacharidis (Vienna University of Technology), Kostas Patroumpas (Research Center "Athena")

9:00 AM - 10:00 AM   Session 11: Map Matching and Indoor Navigation

  • Global Map Matching using BLE Beacons for Indoor Route and Stay Estimation
    Daisuke Yamamoto (Nagoya Institute of Technology), Ryosuke Tanaka (Nagoya Institute of Technology), Shinsuke Kajioka (Nagoya Institute of Technology), Hiroshi Matsuo (Nagoya Institute of Technology), Naohisa Takahashi (Nagoya Institute of Technology)

  • A Force-Directed Approach for Offline GPS Trajectory Map Matching
    Efstratios Rappos (University of Applied Sciences of Western Switzerland (HES-SO)), Stephan Robert (University of Applied Sciences of Western Switzerland (HES-SO)), Philippe Cudré-Mauroux (University of Fribourg)

  • Trajectory annotation using sequences of spatial perception
    Sebastian Feld (Ludwig Maximilian University of Munich), Steffen Illium (Ludwig Maximilian University of Munich), Andreas Sedlmeier (Ludwig Maximilian University of Munich), Lenz Belzner (MaibornWolff)

10:00 AM - 10:30 AM   Break

10:30 AM - 11:30 AM   Session 12: Deep Learning

  • DeepLoc: A Ubiquitous Accurate and Low-Overhead Outdoor Cellular Localization System
    Ahmed Shokry (Alexandria university), Marwan Torki (Alexandria university), Moustafa Youssef (Egypt-Japan University)

  • A UA Framework for Deep Learning based Geospatial Object Detection: A Summary of Results
    Yiqun Xie (University of Minnesota), Rahul Bhojwani (University of Minnesota), Shashi Shekhar (University of Minnesota), Joseph Knight (University of Minnesota)

  • Exploiting Spatiotemporal Patterns for Accurate Air Quality Forecasting using Deep Learning
    Yijun Lin (Spatial Sciences Institute, University of Southern California), Nikhit Mago (Spatial Sciences Institute, University of Southern California), Yu Gao (Spatial Sciences Institute, University of Southern California), Yaguang Li (Department of Computer Science, University of Southern California), Yao-Yi Chiang (Spatial Sciences Institute, University of Southern California), José Luis Ambite (Information Sciences Institute University of Southern California), Cyrus Shahabi (Department of Computer Science, University of Southern California)

11:30 AM - 12:30 AM   Session 13: Social Media and Society

  • Trajectory-based Social Circle Inference
    Qiang Gao (University of Electronic Science and Technology of China), Goce Trajcevski (Iowa State University, Ames), Fan Zhou (University of Electronic Science and Technology of China), Kunpeng Zhang (University of Maryland), Ting Zhong (University of Electronic Science and Technology of China), Fengli Zhang (University of Electronic Science and Technology of China)

  • Creating Full Individual-level Location Timelines from Sparse Social Media Data
    Nabeel Abdur Rehman (New York University), Kunal Relia (New York University), Rumi Chunara (New York University)

  • Balanced centroidal power diagrams for redistricting
    Vincent Cohen-Addad (CNRS, UPMC Paris), Philip N. Klein (Brown University), Neal E. Young (University of California, Riverside)

12:30 PM - 1:00 PM   Closing

Poster Reception, Demo Session

Poster Papers

  • Bike Flow Prediction with Multi-Graph Convolutional Networks
    Di Chai (The Hong Kong University of Science and Technology), Leye Wang (The Hong Kong University of Science and Technology), Qiang Yang (The Hong Kong University of Science and Technology)

  • Lighthouse: Enabling Landmark-based Accurate and Robust Next Generation Indoor LBSs on a Worldwide Scale
    Moustafa Youssef (Google and Egypt-Japan University of Science and Technology (E-JUST)), Heba Abdelnasir (Google and Alexandria University), Patrick Robertson (Google), Maria Puyol (Google), Etienne Le Grand (Google), Luigi Bruno (Google)

  • Finding k-Dissimilar Paths with Minimum Collective Length
    Theodoros Chondrogiannis (University of Konstanz), Panagiotis Bouros (Johannes Gutenberg University Mainz), Johann Gamper (Free University of Bozen-Bolzano), Ulf Leser (Humboldt-Universität zu Berlin), David B. Blumenthal (Free University of Bozen-Bolzano)

  • Adversarial Examples in Remote Sensing
    Wojciech Czaja (University of Maryland), Neil Fendley (Johns Hopkins University Applied Physics Laboratory), Michael Pekala (Johns Hopkins University Applied Physics Laboratory), Christopher Ratto (Johns Hopkins University Applied Physics Laboratory), I-Jeng Wang (Johns Hopkins University Applied Physics Laboratory)

  • Computing Commonsense Cardinal Direction Relations
    Gregory Kritzman (University of Maine), Torsten Hahmann (University of Maine)

  • Indexing Moving Object Trajectories With Hilbert Curves
    Reaz Uddin (CSE, UC Riverside), Chinya Ravishankar (University of California, Riverside), Vassilis Tsotras (UC Riverside)

  • RBox-CNN: Rotated Bounding Box based CNN for Ship Detection in Remote Sensing Image
    Jamyoung Koo (Satrec Initiative), Junghoon Seo (Satrec Initiative), Seunghyun Jeon (Satrec Initiative), Jeongyeol Choe (Satrec Initiative), Taegyun Jeon (Satrec Initiative)

  • W-edge: weighing the edges of the road network
    Rade Stanojevic (Qatar Computing Research Institute, HBKU, Doha), Sofiane Abbar (Qatar Computing Research Institute, HBKU, Doha), Mohamed Mokbel (Qatar Computing Research Institute, HBKU, Doha)

  • Robust Tracking of Objects with Dynamic Topology
    Padraig Corcoran (Cardiff University), Christopher Jones (Cardiff University)

  • Detecting Skewness of Big Spatial Data in SpatialHadoop
    Alberto Belussi (Dept. of Computer Science, University of Verona), Sara Migliorini (Dept. of Computer Science, University of Verona), Ahmed Eldawy (Dept. Computer Science and Engineering, University of California)

  • HiCaPS: Hierarchical Context-aware Point of Interest Recommendation
    Ramesh Baral (Florida International University), Sitharama Iyengar (Florida International University), Tao Li (Florida International University)

  • Replicating Urban Dynamics by Generating Human-like Agents from Smartphone GPS Data
    Yanbo Pang (The University of Tokyo), Kota Tsubouchi (Yahoo! Japan Research), Takahiro Yabe (The University of Tokyo), Yoshihide Sekimoto (The University of Tokyo)

  • Volume-based Similarity of Linear Features on Terrains
    Willem Sonke (Eindhoven University of Technology), Marc van Kreveld (Utrecht University), Tim Ophelders (Eindhoven University of Technology), Bettina Speckmann (Eindhoven University of Technology), Kevin Verbeek (Eindhoven University of Technology)

  • An Efficient Approximation Algorithm for Multi-criteria Indoor Route Planning Queries
    Chaluka Salgado (Monash University), Muhammad Aamir Cheema (Monash University), David Taniar (Monash University)

  • Mining Spatio-temporal Data for Computing Driver Stress and Observing Its Effects on Driving Behavior
    Rohit Verma (Indian Institute of Technology Kharagpur), Gyanesha Prajjwal (National Institute of Technology Durgapur), Bivas Mitra (Indian Institute of Technology Kharagpur), Sandip Chakraborty (Indian Institute of Technology Kharagpur)

  • An Ontology-based Algorithm for Managing the Evolution of Multi-Level Territorial Partitions
    Camille Bernard (Laboratoire d'Informatique de Grenoble), Christine Plumejeaud-Perreau (LIttoral ENvironnement et Sociétés (LIENSs), U.M.R. CNRS 7266), Marlene Villanova-Oliver (Laboratoire d'Informatique de Grenoble), Jerome Gensel (Laboratoire d'Informatique de Grenoble), Hy Dao (Department of Geography, University of Geneva)

  • A Time-Inhomogenous Markov Model for Resource Availability under sparse Observations
    Lukas Rottkamp (Audi Electronics Venture GmbH), Matthias Schubert (Ludwig Maximilian University of Munich)

  • FUTURES-DPE: Towards Dynamic Provisioning and Execution of Geosimulations in HPC environments
    Ashwin Shashidharan (North Carolina State University), Ranga Raju Vatsavai (North Carolina State University), Ross Meentemeyer (Center for Geospatial Analytics at North Carolina State University)

  • Beyond the traffic sign recognition: constructing an auto-pilot map for autonomous vehicles
    Zhenhua Zhang (HERE technologies), Leon Stenneth (HERE technologies), Ram Marappan (HERE technologies), Zaba Sebastian (HERE technologies), Philip S. Yu (University of Illinois at Chicago)

  • Signal Reconstruction Approach for Map Inference from Crowd-Sourced GPS Traces
    Eric He (Carnegie Mellon University), Fan Bai (General Motors), Vijayakumar Bhagavatula (Carnegie Mellon University), Curtis Hay (General Motors)

  • Parallelizing Top-k Frequent Spatiotemporal Terms Computation on Key-Value Stores
    Hong Van Le (SOKENDAI(The Graduate University for Advanced Studies)), Atsuhiro Takasu (National Institute of Informatics)

  • Sparse Map-Matching in Public Transit Networks with Turn Restrictions
    Hannah Bast (University of Freiburg), Patrick Brosi (University of Freiburg)

  • Time-aware Location Sequence Recommendation for Cold-start Mobile Users
    Ting Shen (auburn university), Haiquan Chen (California State University Sacramento), Wei-Shinn Ku (Auburn University)

  • Realtime linear cartograms and metro maps
    Thomas C.Van Dijk (University of Würzburg), Dieter Lutz (University of Würzburg)

  • Coverage Constrained Spatial CO-clustering: A Summary of Results
    Ohriniuc Roxana (Florida Atlantic University), Reich Aaron (Florida Atlantic University), Kwangsoo Yang (Florida Atlantic University)

  • DISTIL: A Distributed In-Memory Data Processing System for Location-Based Services
    Maria Patrou (University of New Brunswick, Fredericton), Md Mahbub Alam (University of New Brunswick, Fredericton), Puya Memarzia (University of New Brunswick, Fredericton), Suprio Ray (University of New Brunswick, Fredericton), Virendra Bhavsar (University of New Brunswick, Fredericton), Kenneth Kent (University of New Brunswick, Fredericton), Gerhard Dueck (University of New Brunswick, Fredericton)

  • Size Constrained k Simple Polygons: A Summary of Results
    Aaron Reich (Florida Atlantic University), Roxana Ohriniuc (Florida Atlantic University), Kwangsoo Yang (Florida Atlantic University)

  • Predictive Population Behavior Analysis from Multiple Contexts with Multilinear Poisson Regression
    Masamichi Shimosaka (Tokyo Institute of Technology), Takeshi Tsukiji (The University of Tokyo), Hideyuki Wada (The University of Tokyo), Kota Tsubouchi (Yahoo Japan Corporation)

  • Fine Scale Registration of Walking Paths and other Ribbon-like Features
    Zhongyu Liu (Miami University), Xian Liu (Miami University), John Femiani (Miami University)

  • A Feature Set for Spatial Behavior Characterization
    Rui Zhang (University of Saskatchewan), Kevin Stanley (University of Saskatchewan), Scott Bell (University of Saskatchewan), Daniel Fuller (Memorial University of Newfoundland)

  • Probabilistic Reachability Query in Evolving Spatiotemporal Contact Networks of Moving Objects
    Zohreh Raghebi (University of Colorado Denver), Farnoush Banaei-Kashani (University of Colorado Denver)

  • Detecting Latest Local Events from Geotagged Tweet Streams
    Hong Wei (University of Maryland), Hao Zhou (University of Maryland), Jagan Sankaranarayanan (Universality of Maryland), Sudipta Sengupta (Amazon Web Services), Hanan Samet (University of Maryland)

  • In-Route Task Selection in Crowdsourcing
    Camila Ferreira Costa (University of Alberta), Mario A. Nascimento (University of Alberta)

  • A Seq2seq Learning Approach for Modeling Semantic Trajectories and Predicting the Next Location
    Antonios Karatzoglou (Karlsruhe Institute of Technology and Robert Bosch GmbH), Adrian Jablonski (Karlsruhe Institute of Technology), Michael Beigl (TecO, Pervasive Computing Systems, KIT)

  • R-Grove: Growing a Family of R-trees in the Big-Data Forest
    Tin Vu (University of California, Riverside), Ahmed Eldawy (University of California, Riverside)

  • Distributed Zonal Statistics of Big Raster and Vector Data
    Samriddhi Singla (University of California, Riverside), Ahmed Eldawy (University of California, Riverside)

  • Cryptotransport on a Blockchain: Anonymity, Location Privacy and Trust—Can You Have Them All?
    Yaron Kanza (AT&T Labs-Research), Eliyahu Safra (Technion)

  • Playing with Matches; Vehicular Mobility through Analysis of Trip Similarity and Matching
    Roozbeh Ketabi (University of Florida), Babak Alipour (University of Florida), Ahmed Helmy (University of Florida)

  • Fusion of Aerial Lidar and Images for Road Segmentation with Deep CNN
    Biswas Parajuli (Department of Computer Science, Florida State University, FL), Piyush Kumar (Department of Computer Science, Florida State University, FL), Tathagata Mukherjee (Intelligent Robotics Inc., Tallahassee, FL), Eduardo Pasiliao (Air Force Research Laboratory, Eglin AFB, FL), Sachin Jambawalikar (Department of Radiology, Columbia University Medical Center, NY)

  • Theft Prediction with Individual Risk Factor of Visitors
    Shakila Khan Rumi (RMIT University), Ke Deng (RMIT University), Flora Salim (RMIT University)

Demonstration Papers

  • Modular Software Framework for Compression of Structured Environmental Data (Demo Paper)
    Ugur Cayoglu (Karlsruher Institute of Technology), Jennifer Schröter (Karlsruher Institute of Technology), Jörg Meyer (Karlsruhe Institute of Technology), Achim Streit (Karlsruhe Institute of Technology), Peter Braesicke (Karlsruher Institute of Technology)

  • Los Angeles Metro Bus Data Analysis Using GPS Trajectory and Schedule Data (Demo Paper)
    Kien Nguyen (University of Southern California), Jingyun Yang (University of Southern California), Yijun Lin (University of Southern California), Jianfa Lin (University of Southern California), Yao-Yi Chiang (University of Southern California), Cyrus Shahabi (University of Southern California)

  • A Spatio-temporal Entropy-based Approach for the Analysis of Cyber Attacks
    Thibaud Merien (Naval Academy Research Institute), Xavier Bellekens (Abertay University), David Brosset (Naval Academy Research Institute), Christophe Claramunt (Naval Academy Research Institute)

  • LocXplore: A System for Profiling Urban Regions (Demo)
    András Komáromy (Freie Universität Berlin), Paras Mehta (Freie Universität Berlin)

  • EaserGeocoder: Integrative Geocoding with Machine Learning
    Sina Rashidian (Stony Brook University), Xinyu Dong (Stony Brook University), Shubham Kumar Jain (Stony Brook University), Fusheng Wang (Stony Brook University)

  • CYCLOPS: CYCLe route Options Planning Service
    Florian Barth (University of Stuttgart), Stefan Funke (University of Stuttgart), Sabine Storandt (JMU Würzburg)

  • Using SMARTS Simulator to Study Transportation Problems (Demo Paper)
    Hairuo Xie (The University of Melbourne), Egemen Tanin (The University of Melbourne), Shanika Karunasekera (The University of Melbourne), Lars Kulik (The University of Melbourne), Rui Zhang (The University of Melbourne), Jianzhong Qi (The University of Melbourne), Kotagiri Ramamohanarao (The University of Melbourne)

  • Periodic stops discovery through density-based trajectory segmentation (Demo Paper)
    Fatme Hachem (University of Milan), Maria Luisa Damiani (University of Milan)

  • 3D Semantic Segmentation for High Resolution Aerial Survey Derived Point-clouds (RGB-DI) using Deep Learning
    Haoyi Xiu (National Institute of Advanced Industrial Science and Technology (AIST)), Poliyapram Vinayaraj (AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL)), Wanglin Yan (Keio University), Ryosuke Nakamura (National Institute of Advanced Industrial Science and Technology (AIST)), Kyoung-Sook Kim (National Institute of Advanced Industrial Science and Technology (AIST))

  • Pine: A System For Crowdsourced Spatial Data Source Discovery While Map Browsing
    Myles Haynes (University of Washington), Abdeltawab Hendawi (University of Virginia), Mohamed Ali (University of Washington)

  • Dynamic Spatio-temporal Integration of Traffic Accident Data
    Ove Andersen (Aalborg University), Kristian Torp (Aalborg University)

  • Multi-Level Filtering to Retrieve Similar Trajectories under the Frechet Distance (Demo Paper)
    Hong Wei (University of Maryland), Riccardo Fellegara (University of Maryland), Leila De Floriani (University of Maryland), Hanan Samet (University of Maryland)

  • rasdaman: Datacubes on Steroids
    Peter Baumann (Jacobs University), Dimitar Misev (Jacobs University), Vlad Merticariu (Jacobs University), Bang Pham Huu (Jacobs University), Brennan Bell (Jacobs University)

  • Activity-Based Ride-Sharing in Action (Demo Paper)
    Oscar Correa (The University of Melbourne), Egemen Tanin (The University of Melbourne), Lars Kulik (The University of Melbourne), Ramamohanarao Kotagiri (The University of Melbourne)

Student Research Competition Papers

  • Summit: A Scalable System for Massive Trajectory Data Management
    Louai Alarabi (University of Minnesota)

  • Robust WiFi-based Floor Localization for Realistic Environments
    Rizanne Elbakly (Egypt-Japan University of Science and Technology (E-JUST))

  • Transferring scale-independent features to support cross-scale object recognition with deep convolutional neural network
    Xiran Zhou (Arizona State University)

  • Centroid-Amenities: An Interactive Visual Analytical Tool for Exploring and Analyzing Amenities in Singapore
    Jazreel Siew Xue Qian (Singapore Management University), Sean Koh Jia Ming (Singapore Management University)

  • MonoDCell: Indoor Localization based on Limited Cellular Information using Deep Learning
    Hamada Rizk (Egypt-Japan University of Science and Technology (E-JUST))

  • Automatic Extraction Intersection and Building Arrangement from StarCraft II Maps
    Yuanbin Cheng (University of Southern California)

  • An Intelligent and Interactive Route Planning Maker for Deploying New Transportation Services
    Fandel Lin (National Cheng Kung University, Taiwan)