Extensive research has been developed aiming to develop computational tools for Smart Cities and, lately, for Cognitive Cities. Researchers have focused their attention on developing intelligent computational methods and tools, aiming for more efficient and pleasant cities that steadily learn through constant interaction with their citizens. For example, data acquired by imaging cameras distributed along a city square can be used to analyze and understand its users’ behavior using dashboards and machine learning models to enhance their comfort and security.

The proposed “Understanding the Citizens’ Behavior in Cognitive Cities” special session aims to bring together researchers involved in the related fields (Data Analytics, Pattern Recognition, Prediction, Simulation, Software Development, Cognition, Psychology, etc.) to set the major lines of development for the near future.

The proposed Special Session will consist of researchers representing various fields related to Data Mining, Artificial Intelligence, Machine Learning, Signal Processing, Computational Vision, Informatics, Psychology, Statistics, Management, Architecture, Smart Cities, City Authorities, Policy Makers, etc., and endeavors to achieve better solutions for more efficient and pleasant cities and attempts to establish a bridge between researchers from diverse fields.

This special session topics include (but are not limited to):

  • data preprocessing, classification, and visualization
  • big data and data analytics
  • dashboard designing
  • feature extraction, selection, and classification
  • machine learning and deep learning
  • pattern recognition and clustering
  • signal processing and analysis
  • computer vision and image processing and analysis
  • traffic analysis, prediction, and simulation
  • route optimization and planning
  • surveillance systems
  • understanding users’ behavior
  • computational decision-making
  • application of data mining tools in Cognitive Cities
  • application of machine learning tools in Cognitive Cities
  • software development in Cognitive Cities

Important Dates

  • Special Session Papers Submission: 29 July 2023
  • Acceptance Notification: 15 September 2023
  • Author Registration: 1 October 2023
  • Camera-Ready Submission: 1 October 2023

Paper submission instruction

Paper submission system is available at: https://easychair.org/conferences/?conf=besc2023.

All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2023, originality, significance and clarity.

Please note:

  • All submissions should use IEEE two-column style. Templates are available from here.
  • All papers must be submitted electronically through the paper submission system in PDF format only. BESC 2023 accepts special session papers (6 pages).
  • The page count above excludes the references.
  • Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review.
  • Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings.
  • Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation.
  • Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work.
  • Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements and indexed by EI. Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals, e.g., World Wide Web Journal (Springer), Web Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing).
  • (NEW) The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.


João Manuel R. S. Tavares, Faculdade de Engenharia da Universidade do Porto, Portugal (tavares[at]fe.up.pt)

Marta Campos Ferreira, Faculdade de Engenharia da Universidade do Porto, Portugal (mferreira[at]fe.up.pt)

Program Committee Members

  • Alexandre Xavier Falcão, Universidade de Campinas, Brazil
  • Arrate Muñoz Barrutia, University of Navarra, Spain
  • Begoña Calvo, University of Zaragoza, Spain
  • Constantine Kotropoulos, Aristotle University of Thessaloniki, Greece
  • Djemel Ziou, University of Sherbrooke, Canada
  • Fiorella Sgallari, University of Bologna, Italy
  • Francisco Perales, Balearic Islands University, Spain
  • Ghassan Hamarneh, Simon Fraser University, Canada
  • Hemerson Pistori, Dom Bosco Catholic University, Brazil
  • Huiyu Zhou, Brunel University, UK
  • Igor Yanovsky, Jet Propulsion Laboratory, USA
  • Jason Corso, SUNY at Buffalo, USA
  • Javier Melenchón Maldonado, Open University of Catalonia, Spain
  • João Paulo Papa, Universidade de São Paulo, Brazil
  • Jorge M. G. Barbosa, Universidade do Porto, Portugal
  • Jun Zhao, Shanghai Jiao Tong University, China
  • Luminita Vese, University of California at Los Angeles, USA
  • Manuel González Hidalgo, Balearic Islands University, Spain
  • Mario F. Montenegro Campos, Universidade Federal de Minas Gerais, Brazil
  • Metin N. Gurcan, Ohio State University, USA
  • Michael Liebling, University of California at Santa Barbara, USA
  • Norian Marranghello, Universidade Estadual de São Paulo, Brazil
  • Reneta P. Barneva, State University of New York, USA
  • Roberto Bellotti, University of Bari, Italy
  • Valentin Brimkov, State University of New York, USA
  • Victor Hugo C. de Albuquerque, Universidade de Fortaleza, Brazil
  • Zeyun Yu, University of Wisconsin at Milwaukee, USA