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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 .


Farshad Firouzi
IMEC/Katholieke Univ. Leuven
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
Pirouzan Group
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
Xi'an Jiaotong-Liverpool University
Brief Bio
Victor Chang is an Associate Professor (Reader) in Information Management and Information Systems of International Business School Suzhou, Xi'an Jiaotong Liverpool University, China. He's also a Director of PhD Program. He was previously a Senior Lecturer in the School of Computing, Creative Technologies at Leeds Beckett University, UK. He’s a Visiting Researcher at the University of Southampton, UK and an Honorary Associate Professor at the University of Liverpool, UK. He is an expert on Cloud Computing and Big Data in both academia and industry with extensive experience in related areas since 1998. He completed a PGCert (Higher Education) and PhD (Computer Science) within four years while working full-time. He has over 100 peer-reviewed published papers. He won £20,000 funding in 2001 and £81,000 funding in 2009. He was involved in part of the £6.5 million project in 2004, part of the £5.6 million project in 2006 and part of a £300,000 project in 2013. He won a 2011 European Identity Award in Cloud Migration, since his work is making contributions. He has won 2016 European Identity and Cloud Award on the best project in research, involved with more than 20 collaborators worth more than $10 millions in valuation. He was selected to present his research in the House of Commons in 2011 and won the best paper in 2012 and 2015. He has demonstrated Storage as a Service, Health Informatics as a Service, Financial Software as a Service, Education as a Service, Big Data Processing as a Service, Integration as a Service, Security as a Service, Social Network as a Service, Data Visualization as a Service (Weather Science) and Consulting as Service in Cloud Computing and Big Data services in both of his practitioner and academic experience. His proposed frameworks have been adopted by several organizations. He is the founding chair of international workshops in Emerging Software as a Service and Analytics and Enterprise Security. He is the founding chair of IoTBDS and COMPLEXIS which have become popular in research communities. He is an Editor-in-Chief (EIC) in International Journal of Organizational and Collective Intelligence and a founding EIC in Open Journal of Big Data. He is the Editor of a highly prestigious journal, Future Generation Computer Systems (FGCS). He is a reviewer of numerous well-known journals and had published three books on Cloud Computing which are available on Amazon website. He is a keynote speaker for CLOSER 2015/WEBIST2015/ICTforAgeingWell 2015 and has received positive support. Dr. Victor has given or will give 10 international keynotes since the end of Year 2016. He has won the Outstanding Young Scientist of Year 2017 this February.


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.)


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


Available soon.


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.


After thorough reviewing by the workshop program committee complemented by members of the main conference program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).


IoTBDS Workshops - MLIoT 2018