Conference Program

Time May 29th Day 1, May 30th Day 2, May 31th Day 3, June 1st
08:45 Workshop
Ph.D forum
Opening remarks
09:00 Keynote 1 Research Session 4 (80)
09:30 Keynote 2
10:00 Coffee Break
10:20 Research Session 1 (75) Coffee Break
10:30 Coffee Break
10:40 Research Session 5 (75)
11:00 Research Session 8 (85)
11:35 Coffee Break
11:55 Coffee Break
11:55 Industry Session 1 (65)
12:15 Research Session 6 (55)
12:25 Lunch
13:00 Lunch
13:10 Lunch
13:40 Research Session 9 (80)
14:00 Research Session 2 (80)
14:20 Research Session 7 (65)
15:00 Coffee Break
15:20 Coffee Break
15:30 Industry Session 2 (65)
15:40 Research Session 3 (100) Tour & Banquet
17:30 Poster/Demo Session
(with Reception)

Program Outline

Day 1, May 30th

 08:45 – 09:00   Opening remarks
 09:00 – 10:00   Keynote 1 - "Computational Behavior Modelling for the Internet of Things"
 10:00 – 10:20   Coffee break
 10:20 – 11:35   Research sessions 1 - Location Services
 11:35 – 11:55   Coffee Break
 11:55 – 13:00   Industry Session 1 - Foundation Systems for Interactivity and Data Mobility
 13:00 – 14:00   Lunch
 14:00 – 15:20   Research Session 2 - Mobile Data Processing
 15:20 – 15:40   Coffee Break
 15:40 – 17:20   Research Session 3 - Spatial+X Query Processing
 17:30 – 19:30   Poster/Demo Session (with Reception)

Day 2, May 31th

 09:00 – 10:20   Research Session 4 - Ride Sharing and Recommendations
 10:20 – 10:40   Coffee break
 10:40 – 11:55   Research Session 5 - Traffic Data Mining
 11:55 – 12:15   Coffee break
 12:15 – 13:10   Research Session 6 - Connected Vehicles
 13:10 – 14:20   Lunch
 14:20 – 15:25   Research Session 7 - Localization and Traffic Analysis
 15:40 –   Tour & Banquet

Day 3, June 1st

 09:30 – 10:30   Keynote 2 - "Challenges for evolution of connected cars"
 10:30 – 11:00   Coffee Break
 11:00 – 12:25   Research Session 8 - Trip Planning
 12:30 – 13:40   Lunch
 13:40 – 15:00   Research Session 9 - Trajectory Mining
 15:00 – 15:30   Coffee Break
 15:30 – 16:35   Industry Session 2 - Intelligent Data Retrieval with Human Mobility and Fuzziness

Keynote 1

Day 1, May 30th, 09:00 - 10:00

Fahim Kawsar (Nokia-Bell Labs)

Title: Computational Behavior Modelling for the Internet of Things


We are observing a monumental effort from the industry and academia to make everything connected. Naturally, to understand the needs of these connected things, we need a better understanding of humans and where, when, and how they interact. This behavioural understanding would help us to create digital services and capabilities that fundamentally change the way we experience our lives. In this talk, I will explore the system and algorithmic challenges in modelling human behaviour. I will discuss how mobile and wearable devices together with the wireless network can be used as a multi-sensory computational platform to learn and infer human behaviour and to design user-centred connected services across Enterprise, Urban City and Lifestyle.


Dr Fahim Kawsar leads the Internet of Things research at Bell Labs and holds a Design United Professorship at TU Delft. His current research explores novel algorithms and system design techniques to build transformative multi-sensory systems for disruptive mobile, wearable and IoT services. He borrows tenets from Social Psychology, learns from Behavioural Economics and applies Computer Science methods to drive his research. He is a frequent keynote, panel and tutorial speaker, hold 15+ patents, organised and chaired numerous conferences, (co-)authored 100+ publications and had projects commissioned. He is a former Microsoft Research Fellow and has worked before at Nokia Research, and Lancaster University. His work and publications can be viewed at


[R] : regular paper (25 min), [S] : Short paper (15 min)

Day 1

Research Session 1: Location Services

Day 1, May 30th, 10:20 - 11:35
Session Chair: Inseok Hwang (IBM Research)

• Sandro Rodriguez Garzon, Dmytro Arbuzin and Axel Küpper. "Geofence Index: A Performance Estimator for the Reliability of Proactive Location-based Services"[R]

• Ayan Kumar Bhowmick, Sourav Suman and Bivas Mitra. "Effect of Information Propagation on Business Popularity: A Case Study on Yelp"[R]

• Prasanta Saikia, Ming Cheung, James She and Soochang Park. "Effectiveness of Mobile Notification Delivery"[R]

Industry Track Session 1: Foundation Systems for Interactivity and Data Mobility

Day 1, May 30th, 11:55 - 13:00
Session Chair: JeongGil Ko (Ajou University)

• Jinho Lee, Inseok Hwang, Thomas Hubregtsen, Anne E. Gattiker,and Christopher M. Durham. "SCI-FII: Speculative Conversational Interface Framework for Incremental Inference on Modularized Services"[R]

• Hyun-Gul Roh, Changsung Kim, Jaemin Woo, and Siwan Kim. "Kaleido: Implementing a Novel Data System for Multi-Device Synchronization"[S]

• Badis Hammi, Jean Philippe Monteuuis, Eduardo Salles Daniel, and Houda Labiod. "ASN.1 Specification for ETSI Certificates and Encoding Performance Study"[R]

Research Session 2: Mobile Data Processing

Day 1, May 30th, 14:00 - 15:20
Session Chair: Goce Trajcevski (Northwestern University)

• Rahul Dwarakanath, Boris Koldehofe, Yashas Bharadwaj, The An Binh Nguyen and Ralf Steinmetz. "TrustCEP: Adopting a Trust-Based Approach for Distributed Complex Event Processing"[R]

• Lini Chen, Xin Xin, Dong Wang and Yue Ding. "HCoM: Item-based Similarity Model for Heterogeneous Implicit Feedback"[R]

• Bingqing Ke, Jie Shao and Dongxiang Zhang. "An Efficient Online Approach for Direction-Preserving Trajectory Simplification with Interval Bounds"[S]

• Guoqiong Liao, Zhou Jun, Hui Ni, Xiaomei Huang, Zhiwei Huang, Changxuan Wan and Xiping Liu. "Approximately Filtering Redundancy for Uncertain RFID Data Streams"[S]

Research Session 3: Spatial+X Query Processing

Day 1, May 30th, 15:40 - 17:20
Session Chair : Jianliang Xu (Hong Kong Baptist University)

• Jinpeng Chen, Hua Lu, Ilkcan Keles and Christian S. Jensen. "Crowdsourcing Based Evaluation of Ranking Approaches for Spatial Keyword Querying"[R]

• Yuhan Sun, Nitin Pasumarthy and Mohamed Sarwat. "On Evaluating Social Proximity-Aware Spatial Range Queries"[R]

• Jinling Jiang, Hua Lu, Pengfei Li, Gang Pan and Xike Xie. "Finding Influential Local Users with Similar Interest from Geo-tagged Social Media Data"[R]

• Bing Zhang and Goce Trajcevski. "Probabilistic Speed Profiling for Multi-lane Road Networks"[R]

Poster/Demo Session

Day 1, May 30th, 17:30 - 19:30


• Yutaka Ohsawa and Htoo Htoo. "Top-k Sequenced Route Queries"

• Ahmad Abadleh, Eshraq Al-Hawari, Esra'a Alkafaween, and Hamad Al-Sawalqah. "Step Detection Algorithm for Accurate Distance Estimation Using Dynamic Step Length"

• Zhibin Ren, Chunhong Zhang, Tiantian Li, and Zheng Hu. "Taxonomy-Induced Matrix Factorization for Inferring Preference of Mobile Telecom Users"

• Ei Mon Cho and Takeshi Koshiba. "Secure SMS Transmission Based on Verifiable Hash Convergent Group Signcryption"

• Sei Chang and Kisik Jeong. "A Mobile Application for Fine Dust Monitoring System"

• Nguyen Tan Cam, Van-Hau Pham, and Tuan Nguyen. "Sensitive Data Leakage Detection in Pre-Installed Applications of Custom Android Firmware"

• Fei Yu, Zhijun Li, Shouxu Jiang, and Shirong Lin. "Point-of-Interest Recommendation for Location Promotion in Location-Based Social Networks "

• Jiakun Xiao, Chen Chen, Chunyan Hou, and Xiaojie Yuan. "Short-Term User Activity Prediction with Massive Mobile Broadband Data"

• Snigdha Das, Dibya Jyoti Roy, Subrata Nandi, Sandip Chakraborty, and Bivas Mitra. "UDAT: User Discrimination Using Activity-Time Information"


• Po-Ruey Lei, Tzu-Hao Tsai, Yu-Ting Wen, and Wen-Chih Peng. "ConflictFinder: Mining Maritime Traffic Conflict from Massive Ship Trajectories"

• Artyom Nikitin, Christos Laoudias, Georgios Chatzimilioudis, Panagiotis Karras, and Demetrios Zeinalipour-Yazti. "ACCES: Offline Accuracy Estimation for Fingerprint-Based Localization"

Day 2

Research Session 4: Ride Sharing and Recommendations

Day 2, May 31th, 09:00 - 10:20
Session Chair : Htoo Htoo (Saitama University)

• Jian Xu, Jianliang Xu, Guanjie Cao, Haitao Xu, Ming Xu and Ning Zheng. "Towards Optimal Free-of-Charge Trip Planning in Bike-Sharing Systems"[R]

• Guang Dai, Jianbin Huang, Stephen Manko Wambura and Heli Sun. "A Balanced Assignment Mechanism for Online Taxi Recommendation"[R]

• Xiawen Yao, Xingfa Shen, Landi Wang and Tian He. "Hybrid Bicycle Allocation for Usage Load Balancing and Lifetime Optimization in Bike-Sharing Systems"[S]

• Ouri Wolfson and Jane Lin. "Fairness versus Optimality in Ridesharing"[S]

Research Session 5: Traffic Data Mining

Day 2, May 31th, 10:40 - 11:55
Session Chair : Ouri Wolfson (University of Illinois at Chicago)

• Petar Mrazovic, Bahaeddin Eravci, Josep Lluís Larriba-Pey, Hakan Ferhatosmanoglu and Mihhail Matskin. "Understanding and Predicting Trends in Urban Freight Transport"[R]

• Maya Okawa, Hideaki Kim and Hiroyuki Toda. "Online Traffic Flow Prediction using Convolved Bilinear Poisson Regression"[R]

• Wenyu Xu and Yiping Yao. "ARM-K: A Methodology for Mining Associations of Traffic Congested Links"[R]

Research Session 6: Connected Vehicles

Day 2, May 31th, 12:15 - 13:10
Session Chair : Hua Lu (Aalborg University)

• Anders Lehmann and Allan Gross. "Towards vehicle emission estimation from smartphone sensors"[R]

• Qiang Ji, Beihong Jin, Yanling Cui and Fusang Zhang. "Using Mobile Signaling Data to Classify Vehicles on Highways in Real Time"[S]

• Jiangtao Ren and Qiwei Xie. "Efficient OD Trip Matrix Prediction based on Tensor Decomposition"[S]

Research Session 7: Localization and Traffic Analysis

Day 2, May 31th, 14:20 - 15:25
Session Chair : Kisung Lee (Louisiana State University)

• Yige Zhang, Mingxuan Yuan, Jia Zeng and Weixiong Rao. "Confidence Model-based Data Repair for Telco Localization"[R]

• Artyom Nikitin, Georgios Chatzimilioudis, Christos Laoudias, Panagiotis Karras and Demetrios Zeinalipour-Yazti. "Indoor Localization Accuracy Estimation from Fingerprint Data"[R]

• Ouri Wolfson, Piotr Szczurek, Aishwarya Vijayan, Alex Leow and Olu Ajilore. "A Traffic Analysis Perspective on Communication in the Brain"[S]

Day 3

Keynote 2

Day 3, June 1st, 09:30 - 10:30

Eunsoo Shim (Vice President, Samsung Electronics Co., Ltd.)

Title: Challenges for evolution of connected cars


Automotive experts predict that between 2025 and 2035, people will be able to sleep in a car. In the morning, the car will recognize your face and automatically open the door. Simply tell the car your destination and she will brief your schedule, read your favorite book, or you can just take a nap, all while the car driving herself. To realize this future connected car, we have a lot of technological challenges. An autonomous car needs to locate itself and detect vehicles and pedestrians in a split second with limited sensor hardware such as camera and radar in a diverse conditions, even under low illuminations and rainy and snowy weather . To recognize the user, a convenient and reliable user authentication method such as face recognition is required which withstands spoofing attempts. An intelligent voice interface for safe driving could only be possible with extreme noise robustness and flexible understanding of natural language. Successful implementation of these functions will have huge computational needs leading a challenge of designing innovative processor architecture. In this talk, we would like to overview the some of the key technical challenges, recent developments across academia and industry, and describe some of our efforts to address these challenges.


Dr. Eunsoo Shim is a Vice President at Samsung Electronics, Co. Ltd. He is the director of the Software Solution Lab, Samsung Advanced Institute of Technology. His research interest is brain-inspired artificial intelligence, in particular, Deep Learning and Neuromorphic systems their applications in speech, natural language, video, autonomous driving, and robotics. Before the joined Samsung Electronics, he was with Avaya Research Labs in the USA, working on context-based services and multimedia communication systems. His earned his BS and MS in Physics from Seoul National University in 1989 and 1991 respectively, and PhD in Electrical Engineering from Columbia University in the city of New York in 2004.

Research Session 8: Trip Planning

Day 3, June 1st, 11:00 - 12:25
Session Chair : Yibin Ng (DataSpark)

• Elham Ahmadi and Mario Nascimento. "IBS: An Efficient Stateful Algorithm for Optimal Sequenced Group Trip Planning Queries"[R]

• Sukarna Barua, Roksana Jahan and Toufique Ahmed. "Weighted Optimal Sequenced Group Trip Planning Queries"[S]

• Yu Huang, Bo-Hau Lin and Vincent Tseng. "Efficient Multi-Destinations Route Planning with Deadlines and Cost Constraints"[S]

• Oleksii Vedernikov, Lars Kulik and Ramamohanarao Kotagiri. "The Hitchhiker's Guide to the Optimal Route Planning"[S]

• Robert Waury, Jilin Hu, Bin Yang and Christian S. Jensen. "Assessing the Accuracy Benefits of On-The-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation"[S]

Research Session 9: Trajectory Mining

Day 3, June 1st, 13:40 - 15:00
Session Chair : Jie Shao (University of Electronic Science and Technology of China)

• Renjie Zheng, Qin Liu, Mingxuan Yuan, Jia Zeng and Weixiong Rao. "Topic Model-Based Road Network Inference from Massive Trajectories"[R]

• Ruoshan Lan, Yanwei Yu, Lei Cao, Peng Song and Yingjie Wang. "Discovering Evolving Moving Object Groups from Massive-Scale Trajectory Streams"[R]

• Zhaoyang Wang, Beihong Jin, Fusang Zhang, Ruiyang Yang and Ji Qiang. "Exploiting Trip Patterns in Passenger Trajectory Streams for Bus Scheduling Optimization in Real Time"[S]

• Chunkai Wang and Xiaofeng Meng. "Partitioning Trajectory Data Stream Based on Runtime Correlation Discovery"[S]

Industry Track Session 2: Intelligent Data Retrieval with Human Mobility and Fuzziness

Day 3, June 1st, 15:30 - 16:35
Session Chair : Seunglak Choi (Naver)

• Yukun Huang, Weixiong Rao, Fangzhou Zhu, Ning Liu, Mingxuan Yuan, Jia Zeng, and Hua Yang. "Experimental Study of Telco Localization Methods"[R]

• Yibin Ng, Yingchi Pei, and Yunye Jin. "Footfall Count Estimation Techniques Using Mobile Data"[R]

• Amol Jaikar and Seo-Young Noh. "NOVEL: NO-VowEL Technique to Search Fuzzy Keyword."[S]