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Workshop on Recent Advances in Machine Learning, Big Data Analytics, and Internet of Things - MLIoT 2018

19 - 21 March, 2018 - Funchal, Madeira, Portugal

In conjunction with the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS 2018


WBDAISM is a shared event between IoTBDS and COMPLEXIS .

CO-CHAIRS

Farshad Firouzi
IMEC/Katholieke Univ. Leuven
Germany
 
Brief Bio
is a senior researcher and program manager at MSG Systems AG, Germany working in the fields of statistics, machine learning, neuromorphic computing, IoT, Big Data, and eHealth. Prior to joining MSG Systems, he was senior scientist at KU Leuven, KIT, SRC, and SI LAB. Dr. Firouzi is the author of more than 40 journals and conference papers. He has served as reviewer (e.g. IEEE Transactions on VLSI, IEEE Transactions on Circuits and System, ACM Transactions on Design Automation of Electronic Systems, Elsevier Microelectronics Reliability, Elsevier Microelectronics, etc.), managing guest editor (e.g. TVLSI, FGCS, TCAD), Program Chair (e.g., Complexis) and program committee member in several conferences (e.g. ICCAD, ATS, etc.).
Bahar Farahani
Shahid Beheshti University
Iran, Islamic Republic of
 
Brief Bio
Dr. Farahani has served as a Senior Consultant to several companies/organizations. She is currently the CEO and a Co-Founder of the Pirouzan Group, a top-leading company that delivers Internet of Things products and services, Machine Learning and Big Data analytics - ranging from innovative connected devices to cloud-based software - to top-quality organizations and companies. Dr. Farahani has served as a Guest Editor of several journals, such as the Future Generation Computer Systems (Elsevier), the IEEE Transactions on Very Large Scale Integration Systems (TVLSI), and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). She is a Program Committee Member in ICCAD e-health workshop, and Complexis. Dr. Farahani is also a Reviewer of several journals/conferences such as the IEEE TVLSI, the IEEE TCAD, Microelectronics Reliability (Elsevier), Future Generation Computer Systems (Elsevier), Journal of Medical Systems, and Complexis.
Victor Chang
Aston Business School, Aston University
United Kingdom
 
Brief Bio
Prof. Victor Chang is a Professor of Business Analytics at Operations and Information Management, Aston Business School, Aston University, UK, since mid-May 2022. He was previously a Full Professor of Data Science and Information Systems at the School of Computing, Engineering and Digital Technologies, Teesside University, UK, since September 2019. He was previously a Senior Associate Professor, Director of Ph.D. and Director of MRes at International Business School Suzhou, Xi’an Jiaotong-Liverpool University, China. He was also a very active contributing key member at the Research Institute of Big Data Analytics, XJTLU. Before that, he worked as a Senior Lecturer at Leeds Beckett University, UK. Within 4 years, Prof Chang completed Ph.D. (CS, Southampton) and PGCe rt (Higher Education, Fellow, Greenwich) while working for several projects at the same time. Before becoming an academic, he has achieved 97% on average in 27 IT certifications. He won 2001 full Scholarship, a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012, 2015 and 2018, the 2016 European award: Best Project in Research, 2016-2018 SEID Excellent Scholar, Suzhou, China, Outstanding Young Scientist award in 2017, 2017 special award on Data Science, 2017-2022 INSTICC Service Awards, Talent Award Suzhou 2019, Top 2% Scientist 2019-2022, Highly Cited Researcher 2021, Outstanding Reviewer of several Elsevier journals 2018-2019 and Outstanding Editor of FGCS (stepped down). He is the Associate Editor of IEEE TII, JGIM, Expert Systems and IJBSR and an Editor of Information Fusion, Scientific Report and IDD journals. He is the Editor-in-Chief of IJOCI and OJBD journals, and holds important or lead guest editor roles in several prestigious journals. Prof Chang was involved in different projects worth more than £14 million in Europe and Asia. He has published 3 books as sole author and the editor of 2 books on Cloud Computing and related technologies. He gave 48 keynotes at international conferences. He is widely regarded as one of the most active and influential young scientists and experts in IoT/Data Science/Cloud/Security/AI/IS, as he has the experience to develop 10 different services for multiple disciplines. He is the founding conference chair for IoTBDS, COMPLEXIS and FEMIB to build up and foster active research communities globally with positive impacts.

SCOPE

In recent years, the Internet of Things (IoT), Machine Learning, and Big Data have grown at an exponential pace solving complex problems in different disciplinary fields such as healthcare, finance, business, transportation, etc. However, these innovations are not without their drawbacks. Many challenges related to computing, network, consistency, safety, reliability, etc. remain. In order to succeed in this technology, multidisciplinary research is needed, in addition to collaboration between academia and industry. This workshop will bring researchers and industrial partners together to examine and report state-of-the-art research on recent advances toward Big Data analytics, Machine Learning, and the Internet of Things.

Topics of Interest

  • Operating System, Applications and Protocols Design, and Validation Techniques for Internet of Things
  • Enabling Technologies for Social Internet of Things
  • Information and Resource Management Systems for Internet of Things
  • Fusion for different services and its impacts in the IoT era
  • Intelligent Algorithms and Standards for Interoperability in Internet of Things
  • Communications, collaborations, and services in networks of embedded devices
  • High-Performance Services Computing and Internet Technologies
  • Emerging Services Science for Cloud Computing
  • Autonomous Cloud
  • Relational and Non-relational big data stores
  • Artificial Intelligence and Machine Learning for Internet of Things
  • Cyber Security and Biometrics in the IoT Era
  • Security and Privacy in Cyber-Physical Systems
  • Intelligent Security and Optimization in Edge/Fog Computing
  • Innovative Network for Data Intensive Science
  • Cognitive Internet of Things Assisted by Cloud Computing and Big Data
  • Intelligent Sensing and Applications for Cyber-Physical Systems
  • Smart Data in Future Internet Technologies and Cloud Computing
  • Affective Computing in Ambient Intelligence Systems
  • Technological innovations in Digital transformation
  • Edge of the Cloud
  • Novel edge computing-inspired approaches and paradigms for mobile IoT applications
  • High-Performance Services Computing and Internet Technologies
  • Blockchain and Decentralization for Internet of Things
  • Accountability and Privacy Issues in Blockchain and Cryptocurrency
  • Cloud and Fog Computing for Smart Cities Data Analytics and Visualization
  • Landscapes of the Data Stream Processing in the era of Fog Computing
  • Big Data for Context-Aware Applications and Intelligent Environment
  • Computation Intelligence for Energy Internet
  • Fog and Cloud Computing for Cooperative Information System management
  • Benchmarking IoT and Big Data Systems
  • Internet of Things and Machine Learning for Smart Healthcare
  • Case studies of successful IoT systems (eHealth, Smart City, etc.)

IMPORTANT DATES

Paper Submission: January 17, 2018 (expired)
Authors Notification: January 25, 2018 (expired)
Camera Ready and Registration: February 2, 2018 (expired)

WORKSHOP PROGRAM COMMITTEE

Available soon.

PAPER SUBMISSION

Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.

PUBLICATIONS

After thorough reviewing by the workshop program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). DBLP, Web of Science / Conference Proceedings Citation Index, EI and SCOPUS
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).

SECRETARIAT CONTACTS

IoTBDS Workshops - MLIoT 2018
e-mail: iotbds.secretariat@insticc.org
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