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Special Session
Special Session on
Inter-Disciplinary Research
 - IDR 2019

2 - 4 May, 2019 - Heraklion, Crete, Greece

Within the 4th International Conference on Complexity, Future Information Systems and Risk - COMPLEXIS 2019


Victor Chang
Xi'an Jiaotong-Liverpool University
Brief Bio
Victor Chang is a Senior Associate Professor, Director of Ph.D. between June 2016 and May 2018) and Director of MRes at International Business School Suzhou (IBSS), Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China, since June 2016. He is also a very active and contributing key member at Research Institute of Big Data Analytics (RIBDA), XJTLU. He's an Honorary Associate Professor. Previously he worked as a Senior Lecturer at Leeds Beckett University, UK, for 3.5 years. Within 4 years, he completed Ph.D. (CS, Southampton) and PGCert (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 a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012 and 2015, the 2016 European award. He is a visiting scholar/Ph.D. examiner at several universities, an Editor-in-Chief of IJOCI & OJBD journals, Editor of FGCS, Associate Editor of TII, founding chair of two international workshops and founding Conference Chair of IoTBDS and COMPLEXIS since Year 2016. He has published 3 books as sole authors and the editor of 2 books on Cloud Computing and related technologies. He gave 16 keynotes at international conferences. He is widely regarded as one of the most active and influential young scientist and expert in IoT/Data Science/Cloud/security/AI/IS, as he has experience to develop 10 different services for multiple disciplines.
Robert Walters
University of Southampton
United Kingdom
Brief Bio
Robert John Walters is an Emeritus Fellow of Department of Electronics and Computer Science at the University of Southampton. His research interests include middleware, distributed computing, hypermedia and graphical formal modelling language. He is supervising PhD students specializing in Cloud Computing.
Víctor Méndez Muñoz
IUL, S.A. & Universitat Autònoma de Barcelona, UAB
Brief Bio
Dr. Víctor Méndez Muñoz has a main background in big data management and distributed systems. He participated in scientific international projects in physics and bioinformatics like AGATA, LHCb, ENRM and EISCAT, collaborating with several more. Currently, he is Head of Software Development at Mind the Byte, a bioinformatics company specializing in computational drug discovery using a pay-per-use SaaS platform (Software as a Service). He also works in the Universitat Autònoma de Barcelona (UAB) as a part time professor. He holds the program chair in INSTICC conferences in the fields of cloud computing, big data, complexity and the internet of things, as well as editorial collaboration in some journals of high impact.
Patricia Baudier
Ecole de Management Normandie
Brief Bio
Patricia Baudier prepared her PhD in management science within the Business School of Mines-Télécom Institut in 2013. She is an associate professor of marketing at EM Normandie in Paris (France). Her research focuses on the acceptance of new technologies, innovations, consumers behavior and Digital Marketing. She spent 28 years within major American companies such as Apple and Kodak, mainly at marketing positions. Patricia has authored several papers in leading journals of innovation, management and marketing and a book "Lexique du digital".
Ruijun Bu
University of Liverpool
United Kingdom
Brief Bio
Dr. Ruijun Bu is a Senior Lecturer in Econometrics at The University of Liverpool Management School (ULMS). He has a Bachelor degree in Engineering, a Master degree in Finance and a Ph.D in Economics and Finance. Dr. Bu’s research interests are in the areas of financial economics and econometrics, quantitative finance, and time series analysis. He is particularly interested in non- and semi-parametric methods for modelling nonlinear continuous-time stochastic processes with applications to financial forecasting and derivatives pricing. In 2010, Dr. Bu was a Visiting Research Fellow of the Bendheim Center for Finance at the Princeton University in 2010, and he is the current group leader of the Econometrics and Business Statistics research cluster at ULMS. Dr. Bu has held research grants from British Academy, Leverhulme Trust, ESRC and European Science Foundation, and his publications appear in Journal of Financial Econometrics, International Journal of Forecasting, Journal of Time Series Analysis, Econometrics Journal, Econometric Reviews, Studies in Nonlinear Dynamics and Econometrics, Economic Modelling, Journal of International Financial Markets, Institutions and Money, etc.
Roger Hallman
Dartmouth College & Naval Information Warfare Center (NIWC) Pacific
United States
Brief Bio
Roger Hallman is a cybersecurity researcher at the Naval Information Warfare Center (NIWC) Pacific, as well as a PhD student in the Thayer School of Engineering at Dartmouth College in Hanover, New Hampshire. Mr. Hallman's research includes contributions to applied homomorphic encryption and data privacy, decision support for cybersecurity, and malware analysis; his current research interests include the trustworthiness and resilience of distributed machine learning systems. He also supports inter-agency programs within the United States Department of Defense by participating in proposal review and source selection committees as well as providing technical oversight of funded research efforts.


Inter-disciplinary research plays a vital role in the development of research. There are common grounds on the methodologies and validation in different disciplines. There is also a growing interest in inter-disciplinary research, since it often requires teams of different experts to work and solve the problems together. Therefore, it makes sense if experts of different areas should have a platform to discuss and work together. We aim to develop a special session to allow participants of IoTBDS, COMPLEXIS and FEMIB conferences to present their work, share about their findings and have the opportunities to collaborate further. Relevant topics related to IoTBDS, COMPLEXIS and FEMIB are always welcome.


  • Big Data fundamentals - Services Computing, Techniques, Recommendations and Frameworks
  • Modeling, Experiments, Sharing Technologies & Platforms
  • SQL/NoSQL databases, Data Processing Techniques, Visualization and Modern Technologies
  • Analytics, Intelligence and Knowledge Engineering
  • Data Center Enabled Technologies
  • Sensor, Wireless Technologies, APIs
  • Networking and Social Networks
  • Data Management for Large Data
  • Security, Privacy and Risk
  • Software Frameworks (MapReduce, Spark etc) and Simulations
  • Modern Architecture
  • Volume, Velocity, Variety, Veracity and Value
  • Social Science and Implications for Big Data

  • Technological focus for Smart Environments
  • Next Generation Networks
  • Smart City Examples and Case Studies
  • Data Analysis and Visualization for Smart City, Green Systems and Transport Systems
  • Architecture for secure and interactive IoT
  • Intelligent Infrastructure and Guidance Systems
  • Traffic Theory, Modeling and Simulation
  • Sensor Networks, Remote Diagnosis and Development
  • Transportation Management
  • Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City

  • Algorithms, software engineering and development
  • System design and implementation
  • Testing (software engineering; penetration; product development)
  • Encryption (all aspects)
  • Firewall, access control, identity management
  • Experiments of using security solutions and proof-of-concepts
  • Large-scale simulations in the Cloud, Big Data and Internet of Things
  • Intrusion and detection techniques
  • Social engineering and ethical hacking: techniques and case studies
  • Software engineering for security modeling, business process modeling and analytics
  • Trust and privacy
  • Location-based privacy
  • Data security, data recovery, disaster recovery
  • Adoption challenges and recommendation
  • Information systems related issues
  • Conceptual frameworks and models
  • Emerging issues and recommendations for organizational security
  • E-Commerce and online banking
  • Social network analysis, emerging issues in social networks
  • Education and e-Learning
  • Surveys and their quantitative analysis
  • Architecture (technical or organizational)
  • Case Studies

  • Complexity Theory
  • Chaos Theory and Applications
  • Quantum Computing
  • Information and Entropy
  • Simulation and Modeling
  • Automation, Control and Robotics
  • Connected Vehicles
  • Complex Networks
  • Internet and the Semantic Web
  • Big Data Analytics
  • Usability of Complex Information Systems
  • Power Distribution, Energy and Control

  • Complex Adaptive Systems
  • Evolutionary computing, neural computing, probabilistic computing
  • Neuro-fuzzy Systems, Fuzzy Computing, Logic and Analysis
  • Self-Organizing Systems, Expert and Intelligent Systems
  • Deep Learning
  • Non-Linear Dynamics
  • Decision Making under Uncertainty
  • Knowledge-Based Systems
  • Intelligent Multi-agent Systems and Intelligent Agents
  • Climate Change and Natural Science Simulations
  • Decision Support Systems Services, Tools and Applications
  • Decision Support Systems Algorithms, Workflows, Processes and Future Advancement
  • Expert and Intelligent Services, Applications, Proofs-of-concept and Best Practices
  • Engineering Design Optimization, Multi-objective Optimization, Process Optimization
  • Human-Machine interfaces, robotics and image processing
  • Intelligent Information Retrieval, Fusion and Algorithms
  • Advanced Reasoning, Monitoring and Diagnosis for Systems, Faults and Scientific Discovery
  • Data/image, Feature, Decision and Multilevel Fusion
  • Fusion theory, Processing, Simulations and Integration
  • Multi-sensor, Multi-fusion System and Application Fusion
  • Information Fusion Applications in Information/Network Security, Engineering, Health and Finance
  • Fusion System Design, Algorithm, Computational Resources and Demand Optimization
  • Information Theory and Applications for Multi-Disciplines
  • Information Sciences for Implementations, Techniques, Simulations and Proofs-of-concept

  • Community Structure in Networks
  • Complex Networks and Epidemics
  • Complex Networks and Mobility
  • Complex Networks in Biological Systems
  • Complex Networks in Statistical Mechanics
  • Complex Networks in Technology

  • Accounting Practices
  • Tax Avoidance, Invasion and Extraction from Tax Invasion
  • Corporate Finance
  • Finance Theories
  • Money, Credit and Banking
  • Stock, Currency and Bonds
  • Commodity
  • Financial Modeling
  • Financial Analysis
  • Financial Statistics
  • Future Markets
  • Risk
  • New Trends for Accounting and Finance
  • Research for Accounting
  • Tax Theories and Practices

  • Macroeconomics
  • International Trade: New Development, Current Theories and Practices
  • Econometrics
  • Advanced Econometrics Modeling
  • Social Network Analysis
  • Housing Markets and Recommendation
  • Economy for BRICS
  • Microeconomics
  • Geo-economics in Asia-Pacific, Europe, America, Middle East and/or Africa
  • Economic Theories
  • Regional and National Economics of Emerging Countries
  • Modern Economic Practices

  • Strategy
  • Supply Chain Management
  • Operations Management
  • Information Management
  • Human Resources Management
  • Project Management
  • General Management
  • Management Theories
  • Modern Management Practices
  • Tourism and Entertainment
  • CSR and Business Ethics
  • International Business
  • Innovation
  • Marketing
  • Management and Operation of Education

  • Business for AI and Deep Learning
  • Computers In Industry
  • Technological Forecasting and Social Change
  • Business for Big Data, Internet of Things and Cloud Computing
  • Business for IT-driven Services
  • Information Systems and Informatics
  • ICT for Business
  • ICT for Education, Healthcare, Finance and Other Sectors
  • Large Scale Surveys and Analysis
  • HCI and Computers Human Behavior


Paper Submission: March 10, 2019 (expired)
Authors Notification: March 18, 2019 (expired)
Camera Ready and Registration: March 25, 2019 (expired)


Ahmed Alenezi, Northern Border University, Saudi Arabia
Sidney Chapman, Self-Employed, Australia
Rushed Kanawati, LIPN CNRS UMR 7030, France
Massimo Marchiori, University of Padua, Italy
Miguel Valencia Ustárroz, Foundation for Applied Medical Research / Universidad de Navarra, Spain
Andy Xiong, Xi'an Jiaotong-Liverpool University, China
ZhenZhen Zhao, ISC Paris Business School, France


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 special session 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 - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar and Google Scholar.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


COMPLEXIS Special Sessions - IDR 2019
e-mail: complexis.secretariat@insticc.org