The International Virtual Workshop on Business Analytics, Eureka 2021
Held on June 2 to 4, 2021, by UACJ
Design and Analysis of Information Granules and Rule-based Architectures with Federated Learning
Dr. Pedrycz is also vigorously involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer). He serves on an Advisory Board of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of international journals.
Towards a new Augmented Analytic based on Fuzzy Predicates: The transformation of Computational Intelligence towards it. The history and role of the Eurekas Community
Speaker: Prof. Dr. Rafael Alejandro Espin-Andrade
Autonomous University of Coahuila, Mexico
Professor Dr. Rafael Alejandro Espin-Andrade is Full Professor of the Institute of Multidisciplinary Research for Innovation Management and Entrepreneurial Development (IMIGIDE) of the Accounting and Administration Faculty of the Autonomous University of Coahuila, Mexico, Co-president of Eurekas Community, Coordinator of the Iberian American Network of Knowledge Discovery Eureka Iberoamerica, and Executive secretary of the Coordination Board of the Transdisciplinary Science Network Eureka International. He is a Mexican National Researcher of level II (SNI II). He has published numerous papers and participated as lecturer in multiple congresses and international academic programs of America and Europe, in the areas of Mathematical Fuzzy Logic, Knowledge Discovery, Decision Making, Cooperative Games Theory, Management Sciences, Business Analytics and Business Intelligence. He has leaded binational and multilateral scientific and academic projects and has been chair of several international scientific congresses, workshops, and clusters of sessions.
Computing with Words in Decision Making: Its Application to Climate Policy
Speaker: Prof. Dr. Luis Martínez
University of Jaen, Spain
Luis Martínez is currently a Full Professor with the Computer Science Department, University of Jaén, Jaén, Spain. He is also Visiting Professor in University of Technology Sydney, University of Portsmouth, and in the Wuhan University of Technology. He has been main researcher in 16 R&D projects, also has published more than 150 papers SCI indexed and more than 200 contributions in Inter/national Conferences related to his areas. His current research interests include decision making, fuzzy logic-based systems, computing with words and recommender systems. He was a recipient of the IEEE Transactions on Fuzzy Systems Outstanding Paper Award 2008 and 2012. He is a Co-Editor-in-Chief of the International Journal of Computational Intelligence Systems and Associate Editor of the journals, including the IEEE Transactions on Fuzzy Systems, Knowledge Based Systems, Information Fusion. Eventually, he has been appointed as Highly Cited Researcher 2017-2020 in Computer sciences.
Implication of Machine Learning on Data Management in Companies
Speaker: Prof. Dr. Jorge Marx Gómez
University of Oldenburg, Germany
Prof. Dr. Jorge Marx Gómez studied Computer Engineering and Industrial Engineering at the University of Applied Science in Berlin (Germany). He was a lecturer and researcher at the Otto-von-Guericke-University Magdeburg (Germany) where he also obtained a PhD degree 2001 in Business Information Systems. From 2002 until 2003 he was a visiting professor for Business Informatics at the Technical University of Clausthal (Germany) and worked as guest lecturer in different countries. In 2004 he received his postdoctoral lecture qualification (Habilitation) at the Otto-von-Guericke-University Magdeburg.
In 2004 he received a Honorary Professorship in Business Informatics at Universidad Central de las Villas (Cuba). Since 2006 Jorge Marx Gómez is a full professor and chair of Business Information Systems at the Carl von Ossietzky University of Oldenburg (Germany). He is furthermore the director of the Center for Environmental and Sustainability Research (COAST) at Oldenburg University and board member of the Energy
Group at OFFIS-Institute. His research interests include Business Information Systems, Federated ERP-Systems, Business Intelligence, Data Science, Applied AI, Interoperability, Environmental Management Information Systems, ICT for Sustainability and E- and Mobile-Commerce. Prof. Dr. Jorge Marx Gómez successfully coordinated several national and international research, capacity building and mobility projects (Tempus, Erasmus Mundus, DAAD) and participated in several EU-FP7 projects.
Emergent and Evolvable Ports: How this concept might be for Latin American Ports
The port model prevailing in Latin America (LATAM) is the result of the major reforms of the decades of the 1990s and 2000s. It allowed for substantial achievements as regards the reduction of foreign trade port costs. Changes in the economy may have been influenced by improvements in port performance and operations; though the improvement in seaport management and technology in LATAM has not been quite as impressive as in other regions around the world. The economic environment in which ports operate daily generate expectations that must address not only the creation of better infrastructure and technology but also its adaptability to challenges in the global environmental landscape. Port authorities in the Port LATAM region must re-define appropriate strategies to specify relevant core businesses and competencies to position ports for sustainability. Built on competitive grounds and thus finding the proper context/conditions opportunities for cooperation, collaboration and coordination among ports will emerge into the development for long-term future success. However, shortcomings in reliable data and information exchange often hamper collaborations and partnerships among the initiatives. The challenge goes beyond information technologies because intelligent business processes must be embedded in suitable solutions as the key factor for port competitive advantage. The set of integrated tools supporting businesses and IT users in managing process execution is known as Business Process Intelligence (BPI). The use of computational intelligence tools and methods involving knowledge discovery and computer-aided strategic decision-making are also relatively new endeavours in the port domain.
Speaker: Dr. Ana X. Halabi Echeverry
Ana X. HALABI-ECHEVERRY is a researcher and data scientist currently focused on inter-port systems and adaptive, flexible and evolvable systems. She is Doctor of Philosophy in Computer Science from Macquarie University, Australia. Master’s Degree in Hydrosystems from Pontifical Xavierian University, Colombia. Specialist in Organisational and Administrative Control Systems from Los Andes University Colombia. Industrial Engineer from Pontifical Xavierian University, Colombia. Associate of NextPort vCoE, a Scientific Association newly created to overcome research gaps that, in an ethical and sustainable way, addresses port data governance and management challenges in Latin America. It is expected that port-related communities increase in intelligence (also data transfer) for collaborative planning. Dr. HALABI-ECHEVERY is convinced of the several opportunities that seaports have in Latin America. Fifteen years of experience in academic and leadership positions within academia.
Dr. HALABI-ECHEVERRY has international recognition for her achievements in the target sector, publishing in academic peer-review journals such as Springer Special Editions, Taylor and Francis, Elsevier and IEEE Publications. She currently serves as a reviewer of Informs Journal on Applied Analytics.
Local experiences applying Artificial Intelligence in Bioengineering: Myths and Reality
Undoubtedly, Artificial Intelligence (AI) takes on more and more prominence in processing data coming from practically all fields, to make them useful in decision support. But what do we exactly mean when we say "Artificial Intelligence"? Are the solutions suggested by AI available to anyone? When do we say that a system is "smart"? How “smart” are AI-based systems? What do we expect from AI in the near future? How do we evaluate if an “intelligent” system is robust and capable of generalizing what it has learned? Can AI generate fake biomedical Information? Progress is so overwhelming that it requires us to be aware of new ideas and approaches all the time. In addition, it demands powerful hardware, which becomes a limitation in many cases. In this talk, these questions and challenges are addressed, taking as a starting point some applications of AI methods in a bioengineering laboratory dedicated to the acquisition and processing of signals, medical images, and biomedical data in general.
Speaker: Prof. Dr. Gustavo Javier Meschino
University of Mar del Plata, Argentina
Gustavo Javier Meschino. Electronic Engineer (1997). Doctor of Engineering, Electronic Orientation (2008). Titles awarded by the National University of Mar del Plata. Associate Professor with Exclusive dedication. Researcher Category II of the Secretariat of University Policies, granted since 2014 (there are V categories, I is the highest). Director of the Bioengineering Laboratory of the Institute for Scientific and Technological Research in Electronics (ICYTE - Universidad Nacional de Mar del Plata - CONICET). Director of the Doctorate in Engineering, Electronic Orientation. Member of the Steering Committee of the Argentine Society of Bioengineering (SABI). Undergraduate and graduate teacher in Electronic Engineering and Artificial Intelligence. He has directed degree projects in these areas, as well as doctoral students and postdoctoral researchers.
His research areas include Artificial Intelligence techniques (Machine Learning, Computational Intelligence) applied to biomedical image and signal processing, in conjunction with the coordination of design projects for biomedical signal acquisition and processing devices.
Artificial Hypothalamus: Artificial Intelligence and Mathematical Programming Integration
Speaker: Ph.D. Jesus M. Velásquez-Bermúdez
Doctor in Engineering of the Mines Faculty of the Universidad Nacional de Colombia (2006). Industrial Engineer and Magister Scientiorum of the Universidad Los Andes (Colombia, 1975). Postgraduate studies in Planning and Engineering of Water Resources (Simon Bolivar University, Caracas) and in Economics (Los Andes University). Chair of CLAIO 2008. Consulting engineer with experience in management of projects in mathematical modeling, industrial automation, and information systems, for large companies in multiples countries. Nine years of experience as a University Professor (Universidad Simón Bolivar (Caracas), Universidad de Los Andes (Bogotá), Universidad de La Sabana (Bogotá), Universidad Nacional de Colombia (Medellin)).
LOGYCA Award for Innovation and Logistic Excellence 2006 (GS1-Colombia). ACOLOG Award to the Investigation in Logistic (2006). Prize ACIEM-ENERCOL Award to Colombian Engineering (1998). ALBERTO LEON BETANCOURT Operations Research Award (1986). President of the Colombian Society of Operations Research (2000-2008). Vice-president of the Latin-Ibero American Association of Operations Research (2004-2008). Member by Colombia Executive Committee of the International Federation of Operations Research Societies (2002).
Consensus Reaching Processes for Large Scale Group Decision Making: Theoretic and Software
Organizers: Rosa Mª Rodríguez Domínguez and Álvaro Labella Romero
University of Jaen, Spain
Consensus reaching processes (CRPs) provide solutions acceptable to all the experts participating in group decision problems, they are demanded in many real-life contexts. Given the variety of existing approaches to support CRPs, this seminar considers three main objectives. Firstly, it revises and introduces a taxonomy that provides an overview and categorization of some existing consensus models for group decision-making problems defined in a fuzzy context, taking into account the main features of each model. Secondly, it discusses the performance of classical CRP models within contexts with a large number of experts, such as e-marketplaces and social networks. Finally, the software AFRYCA that provides support for the CRPs, is introduced to show its features and how to apply different consensus models to deal with group decision-making problems
This seminar will focus on some new requirements to the solution of consensus-based group decision-making problems, such as
Consensus metrics for analysing performance of consensus reaching processes
Comprehensive minimum cost consensus reaching processes
Increasing the convergence of the CRPs keeping experts sovereign
Monitoring tools to evaluate easily the evolution of the consensus process
Eureka Universe: The Universal Analyst
Organizers: Fernando Padrón, Edgar Pedraza and Carlos Llorente
Tecnológico Nacional de México / Instituto Tecnológico de Cd. Madero, Mexico
INTERNATIONAL POSTGRADUATE RESEARCH CONSORTIUM
Organizer: J. Patricia Sánchez Solís (mail)
Universidad Autónoma de Ciudad Juárez, México
Scope and Motivation
Those students who submit and present an extended abstract in the Workshop derived from their thesis will be able to participate. Students interested in the consortium should send an email to firstname.lastname@example.org and email@example.com with the following complementary information:
Student's full name
Student's academic level (master's or doctoral degrees)
Name of the thesis supervisor
The status of the thesis: initial phase, approved protocol, intermediate phase, thesis to be completed, or thesis recently completed
Title of the extended abstract (the one submitted through EasyChair)
An attached PDF document signed by the thesis supervisor authorizing the student to present the work at the consortium
Please, check the full Call here.
EMERGING CHALLENGES AND TRENDS IN BUSINESS INTELLIGENCE
Journal: Polytechnic Open Library International Bulletin of Information Technology and Science (POLIBITS)
Indexed in SciELO, Cabell's Directories, LatIndex, and CONACYT.
Coordinator of the Eureka's Scientific Advisory Board