Program, 12 August 2019

Session 1
8:30–9:20 Keynote
“Internet of Things Including Your Clothes: Smart Textiles for Activity Recognition”
Jingyuan Cheng
University of Science and Technology of China
Abstract
9:20–9:40 “Scalable Deployment of AI Time-series Models for IoT”
Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell and Seshu Tirupathi
IBM Research – Ireland
Paper
9:40–10:00 “Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning”
Tailai Wen and Roy Keyes
Arundo Analytics
Paper
10:00–10:30 Coffee break  
Session 2
10:30–11:20 Keynote
“Building IoT Manufacturing Solutions with AI”
Zhi Hu Wang
IBM Research China
Abstract
11:20–11:35 “AutoSensing: Automated Feature Engineering and Learning for Classification Task of Time-Series Sensor Signals”
Arijit Ukil and Soma Bandyopadhyay
TCS Research and Innovation
Tata Consultancy Services, India
Paper
11:35–11:50 “Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning”
Han Liu1, Xianchao Zhang2, Xiaotong Zhang1, Qimai Li1 and Xiao-Ming Wu1
1The Hong Kong Polytechnic University, Hong Kong
2Dalian University of Technology, China
Paper
11:50–12:10 “Unearthing and Exploiting Latent Semantics behind DNS Domains for Deep Network Traffic Analysis”
Franck Le, Mudhakar Srivatsa and Dinesh Verma
IBM T.J. Watson Research Center, Yorktown Heights, USA
Paper
12:10–12:30 “Rule Applicability on RDF Triplestore Schemas”
Paolo Pareti1, George Konstantinidis1, Timothy Norman1 and Murat Şensoy2
1University of Southampton, UK
2Özyeğin University, Istanbul, Turkey
Paper