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SCIFI 2018 - Fuzziness in Smart Cities (ins)

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Hotel Vila Galé Santa Cruz

Rua São Fernando, 5

9100-173 Santa Cruz

Portugal

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Description

Special Session on
Fuzziness in Smart Cities
- SCIFI 2018

21 - 24 March, 2018 - Funchal, Madeira, Portugal
Within the 20th International Conference on Enterprise Information Systems - ICEIS 2018

CO-CHAIRS

Miroslav Hudec
University of Economics in Bratislava
Slovak Republic

Brief Bio
Miroslav Hudec is an associate Professor at the University of Economics in Bratislava, Faculty of Economic Informatics. He received the Master and PhD degrees from the University of Belgrade. His work is mainly focused on fuzzy logic, knowledge discovery, and information systems. M. Hudec is author or co-author of approximately 45 scientific articles and three books. He is a member of program committees of several international conferences and serves as an editorial board member in in Applied Soft Computing journal. He was the representative of Slovakia on UNECE/Eurostat/OECD Meeting on the Management of Statistical Information Systems.

Edy Portmann
University of Bern
Switzerland

Brief Bio
He is an Assistant Professor of information science at the University of Bern, Switzerland. In the past, he studied for a BSc in information systems, for an MSc in business and economics, and for a PhD in computer sciences. He was a Visiting Research Scholar at NUS, as well as a Postdoctoral Researcher at UC Berkeley, USA. During his studies, he worked several years in a number of organizations in study-related disciplines. He is co-editor of the Springer series Fuzzy Management Methods, and President of a special interest group of the Swiss Informatics Society.

SCOPE

Although very significant work has been done in this field, there are still problems, which face areas such as semantic uncertainty or fuzziness. The smart city approach requires combination of efforts to improve quality of life, protect the environment, etc. Sensors, data storage, networks can be viewed as hemisphere focused on hard computing. Crucial element of smart city is its inhabitants. People observe, communicate, infer, and compute by approximate reasoning, which can be viewed as hemisphere focused on soft computing. Furthermore, many data are fuzzy in their nature. Managing fuzzy data, inferring from collected data, mining patterns, classification and summarization are tasks, which can be solved by fuzzy logic approaches. The solutions are valuable, for all stakeholders in cities.

TOPICS

Topics of interest include, but are not limited to:
  • Theoretical achievements
  • Future of fuzzy logic in smart cities
  • From smart to cognitive cities by fuzzy logic
  • Inferring by computing with words
  • Granular computing
  • Human-centred computing
  • Real-world use cases
  • Summarizing form data


Important Dates

Conference

Regular Papers
Paper Submission: October 18, 2017
Authors Notification: December 19, 2017
Camera Ready and Registration: January 4, 2018

Position Papers
Paper Submission: November 22, 2017
Authors Notification: January 11, 2018
Camera Ready and Registration: January 24, 2018

Workshops
Workshop Proposal: November 3, 2017
Paper Submission: January 11, 2018
Authors Notification: January 25, 2018
Camera Ready and Registration: February 2, 2018

Doctoral Consortium
Paper Submission: January 15, 2018
Authors Notification: January 26, 2018
Camera Ready and Registration: February 7, 2018

Special Sessions
Special Session Proposal: November 3, 2017
Paper Submission: January 11, 2018
Authors Notification: January 25, 2018
Camera Ready and Registration: February 2, 2018

Tutorials
Tutorial Proposal: January 30, 2018

Demos
Demo Proposal: January 30, 2018

Panels
Panel Proposal: January 30, 2018

Open Communications
Paper Submission: January 15, 2018
Authors Notification: January 26, 2018
Camera Ready and Registration: February 7, 2018


Keynote Lectures

Decision Guidance Systems and Applications to Manufacturing, Power Grids, Supply Chain and IoT
Alexander Brodsky, George Mason University, United States

Available soon
Plamen Angelov, Lancaster University, United Kingdom

Available Soon
Salvatore Distefano, Università degli Studi di Messina, Italy


Decision Guidance Systems and Applications to Manufacturing, Power Grids, Supply Chain and IoT




Alexander Brodsky
George Mason University
United States

Brief Bio

Alex Brodsky is Professor in the department of Computer Science and Director of the Masters of Science Degree in Information Systems at George Mason University. He teaches classes in Database Management and Decision Guidance Systems, graduated 15 PhD students and currently advises other four. Alex’s current research interests include Decision Support, Guidance and Optimization (DSGO) systems; and DSGO applications, including to Energy, Power, Manufacturing, Sustainability and Supply Chain. He earned his Ph.D. and prior degrees in Computer Science and/or Mathematics from the Hebrew University of Jerusalem.
Alex has published over 115 refereed papers, including five that received Best Paper Awards, in scholarly peer-reviewed journals, books and conference/workshop proceedings. For his research work related to DSGO systems, Alex received a National Science Foundation (NSF) CAREER Award, NSF Research Initiation Award, and funding from the Office of Naval Research (ONR), National Aeronautics and Space Administration (NASA), National Institute of Standards and Technology (NIST), and Dominion Virginia Power.
Alex serves/ed in leadership roles in research conferences, including as Conference Chair of IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2017); Program Chair of IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2013); Program Co-chair of the IEEE ICDE workshop on Data-Driven Decision Guidance and Support Systems (DGSS 2012, and DGSS 2013); General Vice Co-chair of the IEEE International Conference on Data Engineering (ICDE 2012); and Conference Chair of the Fifth International Conference on Principles and Practice of Constraint Programming (CP99).
Prior to joining Mason in 1993, Alex worked at IBM T.J. Watson Research Center, at Israel Aircraft Industries and was an R&D officer in the Computer Division of Communications, Electronics and Computer Corps, Israel Defense Forces. He also has start-up and commercialization experience, and is a member of ACM, IEEE, INFORMS and INSTICC.


Abstract
Decision Support Systems (DSS) are widely used to support organizational and personal decision-making in diverse areas such as engineering systems, finance, business, economics and public policy. They are becoming increasingly critical with the information overload from the Internet. While the scope of DSS is broad, Decision Guidance Systems (DGS) are a class of DSS geared to elicit knowledge from domain experts and provide actionable recommendations to human decision-makers, with the goal of arriving at the best possible course of action.
Currently, the practice of building Decision Guidance (DG) Systems resembles developing database applications decades ago before the invention of the relational Database Management Systems (DBMS). DG applications are typically one-off and hard-wired to specific problems; require significant interdisciplinary expertise to build; are highly complex and costly; and are not extensible, modifiable, or reusable. Therefore, a paradigm shift for the development of DG systems is needed. The key idea is to introduce and develop Decision Guidance Management Systems (DGMS), which would allow fast and easily-extensible development of DG applications, similar to easy development of DB applications using DBMS.
In this talk I will overview research toward this goal, including the recently developed Unity DGMS, and exemplify its use in the area of manufacturing, energy and power. I will also discuss ideas on how to use the emerging DGMS technology to translate the potential and multibillion dollar investment in Internet of Things (IoT) into business value, e.g., through (1) better predictability of demand and inventory visibility, (2) better tracking and efficiency of equipment and operating assets (3) accelerated innovation and product support, (4) improved alignment and collaboration among business functions and (5) sustainability and quality through visibility to energy and resource consumption.

Keynote Lecture




Plamen Angelov
Lancaster University
United Kingdom

Brief Bio

Dr Plamen Angelov, is a Reader in Computational Intelligence and coordinator of the Intelligent Systems Research at Infolab21, Lancaster University, UK. He is a Senior Member of the IEEE and Chair of two Technical Committees (TC); TC on Standards, Computational Intelligence Society and TC on Evolving Intelligent Systems, Systems, Man and Cybernetics Society. He is also a member of the UK Autonomous Systems National TC, of the Autonomous Systems Study Group, NorthWest Science Council, UK and of the Autonomous Systems Network of the Society of British Aerospace Companies. He is a very active academic and researcher who authored or co-authored over 150 peer reviewed publications in leading journals (50+) peer-reviewed conference proceedings, a patent, a research monograph, a number of edited books, and has an active research portfolio in the area of computational intelligence and autonomous system modelling, identification, and machine learning. He has internationally recognised pioneering results into on-line and evolving methodologies and algorithms for knowledge extraction in the form of human-intelligible fuzzy rule-based systems and autonomous machine learning. Dr. Angelov is also a very active researcher leading projects funded by EPSRC, ASHRAE-USA, EC FP6 and 7, The Royal Society, Nuffield Foundation, DTI/DBIS, MoD, industry (BAE Systems, 4S Information Systems, Sagem/SAFRAN, United Aircraft Corporation and Concern Avionica, NLR, etc.). His research contributes to the competitiveness of the industry, defence and quality of life through projects, such as the ASTRAEA project - a £32M (phase I and £30M phase II) programme, in which Dr. Angelov led projects on Collision Avoidance (£150K, 2006/08), and Adaptive Routeing (£75K; 2006/08). The work on this project was recognised by 'The Engineer Innovation and Technology 2008 Award in two categories: i) Aerospace and Defence and ii) The Special Award. Other examples of research that has direct impact on the competitiveness of UK industry and quality of life are the BAE Systems-funded project on Sense and Avoid (principal investigator, £66K; 2006/07), BAE funded project on UAS Passive Sense, Detect and Avoid Algorithm Development (£24K consultancy, a part of ASTRAEA-II, 2009), the BAE Systems-funded project (co-investigator, £44K, 2008) on UAV Safety Support, EC-funded project (€1.3M, co-investigator) on Safety (and maintenance) improvement trough automated flight data Analysis, the Ministry of Defence funded projects ('Multi-source Intelligence: STAKE: Real-time Spatio-Temporal Analysis and Knowledge Extraction through Evolving Clustering', £30K, principal investigator, 2011 and Assisted Carriage: Intelligent Leader-follower algorithms for ground platforms, £42K, 2009 which developed unmanned ground-based vehicle prototype taken further by Boeing-UK in a demonstrator programme in 2009-11), so called 'innovation vouchers by the North-West Development Agency-UK and Autonomous Vehicles International Ltd. (£10K, 2010, principal investigator), MBDA-led project on Algorithms for automatic feature extraction and object classification from aerial images (£56K, 2010) funded by the French and British defence ministries. Dr. Angelov is also the founding Editor-in-Chief of the Springer's journal on Evolving Systems and serves as an Associate Editor of several other international journals. He also Chairs annual conferences organised by IEEE, acts as Visiting Professor (2005, Brazil; 2007, Germany; 2010, Spain) regularly gives invited and plenary talks at leading companies (Ford, The Dow Chemical, USA; QinetiQ, BAE Systems, Thales, etc.) and universities (Michigan, USA; Delft, the Netherlands; Leuven, Belgium, Linz, Austria, Campinas, Brazil, Wolfenbuettel, Germany, etc). More information can be found at www.lancs.ac.uk/staff/angelov.



Keynote Lecture




Salvatore Distefano
Università degli Studi di Messina
Italy

Brief Bio

Salvatore Distefano is an Associate Professor at University of Messina, Italy, and Fellow Professor at Kazan Federal University, head of the Social and Urban Computing Group and of the Cisco Innovation Center in Kazan. He was formerly an Assistant Professor at Politecnico di Milano (2011-2015). In 2001 he got the master degree in Computer Engineering from University of Catania, and then, in 2006, he received the PhD degree on Computer Science and Engineering from University of Messina.
He authored and co-authored more than 170 scientific papers and contributions to international journals, conferences and books.
He took part to several national and international projects, such as Reservoir, Vision (EU FP7), SMSCOM (EU FP7 ERC Advanced Grant), Beacon, IoT-Open.EU (EU H2020).
He is a member of international conference committees and he is in the editorial boards of IEEE Transactions on Dependable and Secure Computing, International Journal of Performability Engineering, Journal of Cloud Computing, International Journal of Engineering and Industries, International Journal of Big Data, International Journal of Computer Science & Information Technology Applications, International Journal of Distributed Sensor Networks.
He has also acted as guest editors for special issues of the Journal of Risk and Reliability, Journal of Performability Engineering, ACM Performance Evaluation Review and IEEE Transactions on Dependable and Secure Computing
His main research interests include non-Markovian modelling; performance and reliability evaluation; dependability; Quality of Service/Experience; Service Level Agreement; Parallel and Distributed Computing, Grid, Cloud, Autonomic, Volunteer, Crowd, Edge, Fog Computing; Internet of Things; Smart Cities; Swarm and collective intelligence; Big Data; Software and Service Engineering. During his research activity, he contributed to the development of several tools such as WebSPN, ArgoPerformance, GS3 and Stack4Things.
He is also one of the co-founder of the SmartMe.io start up, a spin-off of the University of Messina established in 2017.


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Hotel Vila Galé Santa Cruz

Rua São Fernando, 5

9100-173 Santa Cruz

Portugal

View Map

Refund Policy

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