SmartIoTWorkshopAAAI2018

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SmartIoT 2018 Workshop: AI enhanced IoT data processing for Intelligent Applications


Flyer: Smart IoT 2018 Workshop

FlyerSmartIoT2018V2.jpg

Description of the Smart IoT Workshop

Building intelligent applications for everyday use is the long-cherished aim of Artificial Intelligence (AI). With numerous devices deployed and used in day-to-day applications including mobile phones, tablets, wearable and other connected sensing and actuation devices, collectively referred to as the Internet of Things (IoT), there is an unprecedented opportunity to develop contextually intelligent applications with far-reaching societal implications. They can deliver fine-grained services in various areas such as healthcare, manufacturing, transportation and social good. These intelligent applications and services, however, could also pose privacy, security and trust issues and risks.

The purpose of the workshop is to discuss how AI techniques can help consume data from IoT to build intelligent applications. The workshop aims to bring together academic researchers and industry practioners who are interested in advancing the state-of-the-art not merely in their specific sub-fields of AI, but also in multi-disciplinary areas in order to solve problems with business as well as societal impacts.


Workshop Topics

By 2020, 50 billion Internet of Things (IoT) are expected to be deployed. That is, massive number of IoTs will be continuously or periodically make the data the generate available on the internet. This workshop will explore the possibilities of using Artificial Intelligence (AI) including machine learning, NLP, and semantic Web techniques to create new solutions that exploit the IoT generated data. The workshop will provide an opportunity to share new findings, exchange ideas, discuss research challenges, present demonstration of unique applications and report latest findings. The workshop will cover a range of topics including, but not limited to:

  • Semantic sensor (IoT) data
  • Information extraction from real-world data streams
  • Machine Learning, knowledge-enabled and spatio-temporal processing applied IoT data
  • AI techniques for intelligent IoT data fusion
  • Context-aware applications and services
  • Linked open IoT data, repositories of semantic IoT data
  • Semantic IoT data management
  • Chatbots using NLP and IoT data
  • Reasoning with IoT data, including semantic, cognitive and perceptual computing
  • Ethical and privacy issues with IoT data
  • Human computer interface (HCI) issues, Data visualization
  • Applications in smart city, healthcare, transportation, energy, public safety, disaster coordination and other areas
  • Multi-Agent Systems (MAS) applied to IoT

Program

The program is as follows, it might be updated:

09:00-09:10 SmartIoT Workshop Welcome:

Amit Sheth & Biplav Srivastava

09:10-09:50 Keynote (Confirmed):

Prof. Tambe - Title will be announced later

09:50-10:30 Session Sensor Data (Long Papers):
  • ILPC: Iterative Learning using Physical Constraints in Real-world Sensing Data

Tong Yu, Shijia Pan, Susu Xu, Xinlei Chen, Mostafa Mirshekari, Jonathon Fagert, Pei Zhang, Hae Young Noh and Ole J. Mengshoel (15 min + 5 min questions)

  • Recover Missing Sensor Data with Iterative Imputing Network

Jingguang Zhou and Zili Huang (15 min + 5 min questions)

10:30-11:00 COFFEE BREAK & POSTER SESSION
11:00-11:20 Session Traffic Analysis (Short Papers):
  • Transfer Learning for Traffic Speed Prediction: A Preliminary Study

Bill Lin, Frank Xu, Eve Liao and Kenny Zhu (10 mins talk + Poster)

  • Real-Time Planning for Traffic Signal Control

Alison Paredes and Wheeler Ruml (10 mins talk + Poster)

11:20-12:10 Session Data Analytics (Long Papers):
  • Encoding Temporal Markov Dynamics in Graph for Visualizing and Mining Time Series

Lu Liu and Zhiguang Wang (15 min + 5 min questions)

  • Efficient Scene Labeling via Sparse Annotations

Can Qin, Maoguo Gong and Yue Wu (15 min + 5 min questions)

12:10-12:30 Poster Session for Short Papers
12:30-14:00 LUNCH
14:00-14:40 Keynote 2 (Confirmed):

Dr. Nirmit Desai

Title: Edge computing and its applications to health and safety for the masses

Abstract: Edge computing is a paradigm of computing that is concerned with bringing computation closer to the data sources, instead of the the traditional approach of bringing all data to a compute engine such as the cloud. Given the massive growth in data as well as resource-rich IoT devices at the edge, peer-to-peer and collaborative learning from data at the edge is a real possibility. This talk describes two applications of edge computing: Mesh Network Alerts (MNA) for enabling citizens to receive severe weather information even when there is no connectivity; and Nightingale for enabling patients to receive health predictions personalized for them. MNA is a delay-tolerant p2p network of commonly available android and iOS devices that is presently in use by more than a million users in emerging countries. The network is used for broadcasting severe weather information in a trusted manner without requiring any networking infrastructure. Nightingale describes early ideas on a combination of distributed learning and transfer learning on mobile devices to provide personalized risk assessments to patients of asthma, migraine, and others. Although the risk assessments are based on weather, user history, and user behavior data, the data never leaves the users' devices to protect the privacy of the user.

14:40-15:00 Session (Short Papers):
  • Learning the Influence Structure between Partially Observed Stochastic Processes using IoT Sensor Data

Ritesh Ajoodha and Benjamin Rosman (10 mins talk + Poster)

  • Towards Knowledge Oriented Intelligent Audio Analytics

Alessandro Oltramari, Joseph Szurley, Samarjit Das, Jonathan Francis and Juncheng Li (10 mins talk + Poster)

15:00-15:30 Open Demo & Open Mic Session:

Open to everybody, fill in the interest form here: [1]

15:30-16:00 COFFEE BREAK & POSTER SESSION
16:00-16:45 Panel
16:45-17:00 Closing Remarks:

Amit Sheth & Biplav Srivastava

Important Dates

Workshop Paper Submission (Extended Deadline) : 12 November 2017 23:55 PM Greenwich Mean Time (GMT)

Notification to authors: 19 November 2017

Camera Ready of authors’ papers (Strict Deadline): 21 November 2017 5:00 PM PDT (California time)

How are the workshop papers published? They are not part of the main proceedings but can be included in the AAAI-18 Workshop Technical Report volume and the AAAI Digital Library.

Workshop Date: Saturday 3rd February 2018

Where: New Orleans, Lousiana, USA

Co-located with AAAI 2018 (32nd AAAI Conference on Artificial Intelligence): https://aaai.org/Conferences/AAAI/aaai18.php

Registration: https://aaai.org/Conferences/AAAI-18/registration/

Feel free to ask any questions to: smartiot2018@easychair.org and amelie.gyrard@emse.fr

Submission

Submission Web page on Easy Chair: https://easychair.org/conferences/?conf=smartiot2018

Papers must be formatted in AAAI two-column, camera-ready style AAAI style files: http://www.aaai.org/Publications/Templates/AuthorKit18.zip

Regular research papers may be no longer than 7 pages, where page 7 must contain only references, and no other text whatsoever.

Short papers, which describe a position on the topic of the workshop or a demonstration/tool, may be no longer than 4 pages, references included.


Organisation

The workshop co-chairs:


Payam Barnaghi

Homepage: http://personal.ee.surrey.ac.uk/Personal/P.Barnaghi/

Institute: University of Surrey, UK

He is a Reader in Machine Intelligence at the Department of Electronic and Electrical Engineering and a member of the Institute for Communication Systems (ICS) at the University of Surrey. He is also an adjunct member of the Graduate Faculty at Wright State University.

Payam Barnaghi is a senior member of IEEE and a Fellow of the Higher Education Academy. He is technical lead of the Department of Health/NHS TIHM for Dementia project and he was co-ordinator and Principal Investigator of the EU FP7 CityPulse project on smart cities and large-scale data analytics. His recent activities include associate editor of the IEEE Internet of Things Journal and Elsevier Journal of Digital Communications and Networks (DCN), member of the editorial board of Elsevier Heliyon, guest editor of a special issue of IEEE Intelligent Systems on Web of Things, and a special issue of IEEE Internet Computing on Physical-Cyber-Social Computing. He is a member of the World Wide Web Consortium (W3C) Advisory Committee and the EPSRC Peer Review Associate College. He is the programme leader for Electronic Engineering for Medicine and Healthcare at the University of Surrey.


Amelie Gyrard

Homepage: http://sensormeasurement.appspot.com/?p=AmelieGyrard

Institute: Univ Lyon, MINES Saint-Etienne, CNRS, Laboratoire Hubert Curien, Saint-Etienne, France

Amelie Gyrard is a post-doc researcher at Ecole des Mines de Saint-Etienne, France, working within the Connected Intelligence - Knowledge Representation and Reasoning team. Previously, she was a post-doc at Insight Center for Data Analytics, National University of Galway and actively working in the scientific development and coordination of the FIESTA-IoT (Federated Interoperable Semantic IoT/Cloud Testbeds and Applications) EU H2020 project. Her research interests are on Software engineering for Semantic Web of Things and Internet of Things (IoT), semantic web best practices and methodologies, ontology engineering, reasoning and interoperability of IoT data. She holds a Ph.D. from Eurecom since 2015 where she designed and implemented the Machine-to-Machine Measurement (M3) framework. The title of her dissertation is ``Designing Cross-Domain Semantic Web of Things Applications. She also disseminated her work in standardizations such as ETSI M2M, oneM2M, and W3C Web of Things.


Amit Sheth

Homepage: http://knoesis.org/amit/

Institute: Kno.e.sis, Wright State University, USA

Amit Sheth is an educator, researcher, and entrepreneur. He is the LexisNexis Ohio Eminent Scholar, an IEEE Fellow, and the executive director of Kno.e.sis—the Ohio Center of Excellence in Knowledge-enabled Computing. Kno.e.sis' faculty and researchers are computer scientists, cognitive scientists, biomedical researchers, and clinicians. It has the largest US academic research group in the area of Semantic Web and maintains a very high publication impact. Prof. Sheth is one of the 100 top computer sciences based on publication impact (h-index = 95). He has founded three companies by licensing his university research outcomes. He has organized over 75 international events (as General/Organization Committee/Steering Committee/Program Chair) and given over 35 tutorials. Examples of his relevant activities includes (a) initiating and co-chairing W3C Semantic Sensor Networking group, whose outcomes serve as the defacto international standard, and (b) serving as the IoT department editor for IEEE Intelligent Systems.


Biplav Srivastava

Homepage: http://researcher.watson.ibm.com/researcher/view.php?person=us-biplavs

Institute: IBM, USA

Biplav Srivastava is a Research Staff Member \& Master Inventor at IBM Research and an ACM Distinguished Scientist and Distinguished Speaker. With over two decades of research experience in Artificial Intelligence, Services Computing and Sustainability, Biplav's current focus is on promoting goal-oriented human-machine collaboration for contextual applications using domain and user models, learning and planning. Biplav's work has lead to many science firsts and high-impact commercial innovations (up to \$B\Plus), 100\Plus papers and 40\Plus US patents issued. He co-organized the workshop track at IJCAI 2016, has co-organized over 30 workshops and given 5 tutorials at leading AI conferences.


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Programme Committee (PC)

List of technical programme committe members already agreed:

  • Josiane Xavier Parreira, SIEMENS AG, Austria
  • Yasmin Fathy, University of Surrey, UK
  • Bin Guo, Northwestern Polytechnical University, China
  • Maria Bermudez, University of Granada, Spain
  • Gauthier Picard, Ecole des Mines de Saint-Etienne (EMSE), France
  • Raúl García-Castro, Universidad Politécnica de Madrid, Spain
  • Paolo Bellavista, University of Bologna, Italy
  • Xiang Su, University of Oulu, Finland
  • Maria Maleshkova, KIT, Germany
  • Maria Esther Vidal, Universidad Simon Bolivar, Venezuela
  • Victor Charpenay, Siemens, Germany
  • Pankesh Patel, Fraunhofer, USA
  • Soumya Kanti Datta, Eurecom, France
  • Ghislain Atemezing, Mondeca, France
  • Andrei Ciortea, Siemens, USA
  • Emil Lupu, Imperial College London, UK
  • Gyu Myoung Lee, Liverpool John Moores University, UK
  • Manfred Hauswirth, Technical University of Berlin/Fraunhofer FOKUS
  • Maria Ganzha, Systems Research Institute, Polish Academy of Sciences, Poland
  • Marcin Paprzycki, Systems Research Institute, Polish Academy of Sciences, Poland
  • Mohammadreza Rezvan, Kno.e.sis, Wright State University, USA
  • Mohammad Saeid Mahdavinejad, Kno.e.sis, Wright State University, USA
  • Hong Yung Yip, Kno.e.sis, Wright State University, USA
  • Danh Le Phuoc, Technical University of Berlin, Germany


Related Events

Challenge

  • Knowledge Extraction for the Web of Things (KE4WoT) Challenge: Co-located with The Web Conference 2018 (previously International World Wide Web Conference (WWW 2018)) [2]

Workshops

  • 2nd Workshop Semantic Web Technologies for the Internet of Things (SWIT 2017) at International Semantic Web Conference (ISWC October 2017) [3]
  • Cognitive Knowledge Acquisition and Applications workshop (Cognitum 2016) at IJCAI 2016. The previous edition Cognitum 2015 has been held at IJCAI 2015.
  • Closing the Cognitive Loop: Knowledge, Data, and Systems for Cognitive Computing. The third edition of the workshop at IJCAI 2016.
  • Bridging the Gap between Human & Automated Reasoning at IJCAI 2016.
  • Cognitive Computing & Augmented Human Intelligence at AAAI 2014.
  • Semantic Cities: Beyond Open Data to Models, Standards and Reasoning at AAAI 2014.

Tutorials

  • Semantic Web Meets Internet of Things and Web of Things Tutorial [3rd Edition] at ISWC 2017 (October 2017) [4]
  • Semantic Web Meets Internet of Things and Web of Things Tutorial [2nd Edition] at WWW 2017 [5]
  • Semantic Web Meets Internet of Things and Web of Things Tutorial [1st Edition] at ISWC 2016 [6]
  • Semantic Web of Things Tutorial at IC 2017 Tutorial (in French) [7]
  • Semantics and Data Analytics for Smart City Applications at Extended Semantic Web Conference (ESWC) 2015 [8]
  • Data Processing and Semantics for Advanced Internet of Things (IoT) Applications: modelling, annotation, integration, and perception at WIMS 2013 [9]
  • Data Modeling and Knowledge Engineering for the Internet of Things at EKAW 2012 [10]

Acknowledgments

This work is partially funded by a bilateral research convention with ENGIE Research & Development and the National French ANR 14-CE24-0029 OpenSensingCity project [11].

References

Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing. IEEE Intelligent Systems. [Sheth 2016] [12]