List of accepted and to be presented papers.

Session 1: Collaborative Learning and Problem Solving
  • Airport Restroom Cleanliness Prediction Using Real Time User Feedback Data
  • Kilian Ros, Elena Mocanu and Christin Seifert (University of Twente, Netherlands)
  • Collaborative Creation and Training of Social Bots in Learning Communities
  • Alexander Tobias Neumann, Peter de Lange and Ralf Klamma (RWTH Aachen University, Gemany)
  • Sharing Blockchain Performance Knowledge for Edge Service Development
  • Filip Rydzi (Independent, Slovakia) and Hong-Linh Truong (Aalto University, Finland)
  • A solving method for computing and network resource minimization problem in service function chain against Multiple VNF Failures
  • Daiki Yamada and Norihiko Shinomiya (Soka University of Japan, Japan)

Session 2: Collaborative Learning
  • Benchmarking for end-to-end QoS sustainability in Cloud-hosted Data Processing Pipelines
  • Sunil Singh Samant (Swinburne University of Technology, Australia), Mohan Baruwal Chhetri (CSIRO, Australia), Bao Vo, Ryszard Kowalczyk (Swinburne University of Technology, Australia) and Surya Nepal (CSIRO, Australia)
  • Challenges and Approaches to Teaching Data Science Technologies in an Information Technology Program with Non-traditional Students
  • Richard Price (Georgia Gwinnett College, US) and Lakshmish Ramaswamy (University of Georgia, US)
  • An Interactive Play Environment on Mathematics and Cognitive Training with Behavioral Tracking for Children with Autism
  • Pinata Winoto (Wenzhou-Kean University, China), Jie Chen (Columbia University, US), Hangzhi Guo and Tiffany Tang (Wenzhou-Kean University, China)

Session 3: Collaborative Intelligence
  • Where Did the Political News Event Happen? Primary Focus Location Extraction in Different Languages
  • Maryam Bahojb Imani, Latifur Khan and Bhavani Thuraisinghamn (The University of Texas at Dallas, US)
  • A Taxonomy for Classifying User Group Activity in Online Political Discourse
  • Julian Jarrett, Kimberley Hemmings-Jarrett (Drexel University, US) and M Brian Blake (George Washington, US)
  • SciBlock: A Blockchain-Based Tamper-Proof Non-Repudiable Storage for Scientific Workflow Provenance
  • Dinuni Fernando, J. Dinal Herath, (SUNY Binghamton, US) Changxin Bai (Wayne State University, US), Ping Yang, Guanhua Yan (SUNY Binghamton, US) and Shiyong Lu (Wayne State University, US)

Session 4: Collaborative Analysis, Design and Management
  • Experiences with Managing Data Ingestion into a Corporate Datalake
  • Sean Rooney, Daniel Bauer, Luis GarcĂ©s-Erice, Peter Urbanetz, Florian Froese, and Sasa Tomic (IBM Research, Switzerland)
  • Leveraging Data-Analysis Session Logs for Efficient, Personalized, Interactive View Recommendation
  • Xiaozhong Zhang, Xiaoyu Ge and Panos Chrysanthis (University of Pittsburgh, US)
  • ActionTime: Help Children Develop Execution Skills
  • Cui Yu (Monmouth University, US), Allen Lu (High Technology High School, US), Steven Cassidy and Wenjin Zhang (Monmouth University, US)

Session 5: Collaborative Learning and Applications I
  • Provider Networks in the Neonatal Intensive Care Unit Affect Length of Stay
  • Cindy Kim, Christoph U. Lehmann, Jonathan S. Schildcrout, Dupree Hatch, Dan France and You Chen (Vanderbilt University, US)
  • Temporal JSON
  • Aayush Goyal and Curtis Dyreson. (Utah State University, US)
  • Tabu Search for Efficient Service Function Chain Provisioning in Fog Networks
  • Nazli Siasi (University of South Florida, US), Adrian Jaesim (University of mount Union, US) and Nasir Ghani (University of South Florida, US)
  • An Assessment of the Impacts of Workflow Management Systems on Knowledge Management Process Activities
  • Ricardo Anderson (University of the West Indies, Jamaica)

Session 6: Collaborative Learning and Applications II
  • Two Tier Analysis of Social Media Collaboration for Student Migration
  • Ronak Razavisousan and Karuna Joshi (University of Maryland Baltimore County, US)
  • Event Detection in Noisy Streaming Data with Combination of Corroborative and Probabilistic Sources
  • Abhijit Suprem and Calton Pu (Georgia Institute of Technology, US)
  • Integration of User Emotion and Self-Awareness in Text Messaging
  • Li Liu (California State University, US), Dragos Guta (NASA, US) and Shuo Niu (Clark University, US)
  • Named Entity Recognition for Nepali Language with Grapheme Convolution Network
  • Oyesh Singh, Ankur Padia and Anupam Joshi (University of Maryland Baltimore County, US)

Session 7: Collaborative Computing and IoT
  • Collaborative Online Educational Games for Children with Learning Disabilities: Lessons Learned
  • Pinata Winoto and Tiffany Tang. (Wenzhou-Kean University, China)
  • Framework for Analysis and Detection of Fraud in Health Insurance
  • Nirmal Rayan (Medi Assist Healthcare Services Pvt. Ltd., India)
  • An efficient implementation for dynamic container layer replacement on edge computing [short paper]
  • Jaeho Park, Yunkon Kim, A-Young Son and Eui-Nam Huh (Kyung Hee University, South Korea)

Vision Track in Internet Computing and Collaboration
  • IoT Security - A Comprehensive Life Cycle Framework [CIC version paper]
  • Elisa Bertino (Purdue University, US)
  • Device Identity and Trust in IoT-sphere Forsaking Cryptography
  • Indrajit Ray (Colorado State University & NSF), Diptendu Kar, Jordan Peterson, Steve Goeringer (Colorado State University)
  • A Vision of Global IoT Device Discovery and Integration
  • Dimitrios Georgakopoulos, (Swinburne University of Tehcnology, Australia)
  • Engineering Heterogeneous Internet of Things Applications: From Models to Code
  • Thomas W. Pusztai, Christos Tsigkanos and Schahram Dustdar, (Vienna University of Technology, Austria)
  • Random Sampling Deep Learning Mechanism for Discovering Unique Property of No Specific Local Feature Images
  • Zon-Yin Shae, Zhi-Ren Tsai, Chi-Yu Chang and Jeffrey Tsai (Asia University, Taiwan)
  • Social Edge Intelligence: Integrating Human and Artificial Intelligence at the Edge
  • Dong Wang, Yue Zhang, Yang Zhang, Md Tahmid Rashid, Lanyu Shang and Na Wei (University of Notre Dame, US)
  • Building Explainable Data Analytics for Location-Dependent Time-Series Data
  • Yao-Yi Chiang, Yijun Liu, Meredith Franklin (University of Southern California, US) and Wei-Shinn Ku (Auburn University, US)
  • Proactive Antifragility for Service-Oriented IoT/Edge-Computing Systems: A Vision and Outline of Research Directions
  • Anton V. Uzunov, Surya Nepal and Mohan Baruwal Chhetri (CSIRO, Australia)
  • Self-emerging Data Infrastructures
  • Balaji Palanisamy (University of Pittsburgh, US) and Chao Li (Beijing Jiaotong University, China)
  • A Marauder's Map for the IoT Edge
  • Eve Schooler, David Zage, Hassnaa Moustafa and Jeff Sedayao, (Intel, US)