{"id":2302,"date":"2024-01-12T15:32:34","date_gmt":"2024-01-12T20:32:34","guid":{"rendered":"https:\/\/citis.ups.edu.ec\/?page_id=2302"},"modified":"2025-09-26T08:17:26","modified_gmt":"2025-09-26T13:17:26","slug":"citis-2023","status":"publish","type":"page","link":"https:\/\/citis.ups.edu.ec\/es\/home\/conference-history\/citis-2023\/","title":{"rendered":"Citis 2023"},"content":{"rendered":"
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IX International Conference on Science, Technology and Innovation for Society (CITIS 2023)<\/strong><\/h3>\n

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The VIII International Conference on Science, Technology and Innovation for Society, CITIS 2023, held from july 26 to 28, 2023 presencial edition. organized by Universidad Polit\u00e9cnica Salesiana, offered the national and international academic community a unified communication platform, aimed at cover the theoretical and practical problems with the greatest impact on modern society through an engineering perspective.\u00a0<\/p>\n

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In this ninth edition, dedicated to the 29 years of the life of La Salesiana, the thematic axes were related to the application of science, technological development and innovation in five fundamental pillars of our society: Industry, Mobility, Environmental Sustainability, Information and Telecommunications.\u00a0<\/p>\n

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The scientific committee included 88 researchers from 18 countries (Spain, New Zeland, Belgium, Mexico, Australia, United States, Colombia, Brazil, United Kindom, Italy, India, Venezuela, Peru, Chile and Ecuador), who had the responsibility for evaluating, in a \u2018double-blind review\u2019 process, the 148 papers received in the conference.<\/p>\n

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The accepted contributions recreate recent research trends in the fields of software engineering, \"\"<\/a>big data analysis, cloud computing, data engineering, data management and data mining, machine learning, deep learning, artificial intelligence, smart systems, robotics and automation, mechatronic design, and industrial processes design. CITIS 2023 also held six Workshops spaces, and several keynote speeches were given on cutting-edge topics related to the thematic axes of the conference. In addition, parallel working sessions were held to strengthen entrepreneurship and innovation skills for engineering students. The 60 papers accepted for presentation and discussion at the Conference were published by Springer Nature in the book series\u00a0Lecture Notes in Networks and Systems.<\/a> We acknowledge all of those that contributed to the staging of CITIS 2023 (authors, committees, workshop instructors, and our attendees). We deeply appreciate their involvement and support, which was crucial for the success of the event.<\/p>\n

\"\"<\/a>In this edition, in addition to the special series volume published by Springer, a special proceedings book was prepared in collaboration with Abya Yala for CITIS 2023, which included high-quality contributions that, although not part of the Springer volume, demonstrated significant scientific merit.<\/p>\n

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The Chairperson of CITIS 2023 was Dr. Lenin E. Cevallos-Robalino, whose leadership and commitment were fundamental to the success of the event. The organizing committee expresses its sincere gratitude to all participants, institutions, and collaborators for the warm reception and active engagement that made this edition possible.<\/p>\n

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WORKSHOPS<\/h2>\n

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5G\/6G networks and the use of MATLAB in prompt prototyping<\/h3>\n

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Content: This workshop will discuss the frequency bands used by 5G technology, a review of the NR interface and the possibilities of its implementation in\u00a0 software-defined\u00a0 radio\u00a0 devices,\u00a0 as\u00a0 well\u00a0 as\u00a0 a\u00a0 review\u00a0 of\u00a0 the\u00a0 coexistence\u00a0 mechanisms\u00a0 between\u00a0 different\u00a0\u00a0radiocommunications\u00a0 services and the functionalities\u00a0 currently\u00a0 offered\u00a0 by\u00a0 Matlab\u00a0 for\u00a0 rapid\u00a0 prototyping\u00a0 and coexistence analysis between frequency bands.\u00a0The workshop includes a brief introduction\u00a0 to\u00a0 the\u00a0 evolution\u00a0 of\u00a0 \u00a0the\u00a0 3GPP\u00a0 systems\u00a0 architecture\u00a0 and\u00a0 the\u00a0 selections\u00a0 \u00a03GPP\u00a0 38.104,\u00a0 Release\u00a0 17,\u00a0 which\u00a0 includes\u00a0 frequency\u00a0 bands, bandwidths,\u00a0 carrier\u00a0 shape.\u00a0\u00a0Finally,\u00a0 a\u00a0 quick\u00a0 review\u00a0 of\u00a0 the\u00a0 technologies\u00a0 that\u00a0 are\u00a0 being developed\u00a0 for\u00a0 6G is\u00a0 made.\u00a0The tutorial may have a practical component with Matlab, to illustrate the topics discussed.<\/p>\n

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Prof. Andr\u00e9s Navarro \u2013 ICESI University, Colombia<\/strong><\/p>\n

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Prof. Andr\u00e9s Navarro\u00a0<\/a>\u00a0<\/strong>is\u00a0 an\u00a0 Electronic\u00a0 Engineer\u00a0 (1993), with\u00a0 a Master\u00a0 on\u00a0 Technology Managenment (1999), both from\u00a0\u00a0Pontifical\u00a0 Bolivarian\u00a0 University\u00a0 in\u00a0 Medellin.\u00a0 Obtained\u00a0 his\u00a0 PhD\u00a0 in\u00a0 Telecommunications\u00a0 from Universitat\u00a0 Polit\u00e9cnica de Valencia\u00a0 in\u00a0 2003. He\u00a0 is\u00a0 IEEE\u00a0 member\u00a0 since\u00a0 1995 and Senior Member since 2014. Advisor of the Spectrum Management Committee\u00a0 for\u00a0 Colombian\u00a0 Spectrum\u00a0 Agency\u00a0 and\u00a0 ITU\u00a0 expert.\u00a0 Currently is the IEEE Comsoc LATAM Regional Director, Comsoc Board of Governors member, Comsoc IT committee member. As ITU expert, advised different governments in Digital TV and Spectrum Management.\u00a0<\/p>\n

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Is a participant on COST CA 20120INTERACT and former actions COST CA15104 IRACON, COST IC1004 and COST 2100. He is member of IEICE, EurAAP and ISOC. Currently is the coordinator of the PhD program on engineering and coordinator of the CENIT research center for technology in Health, a joint center involving Biomedical research group and Foundation Valle del Lili. His research interests are Spectrum Management, mobile radio planning (5G 6G), radio propagation and m-health.<\/p>\n

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Introduction to machine learning using Orange.<\/strong><\/h3>\n

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Information systems and intelligent data processing play an increasingly important role in business, science and technology. Recently, advanced information systems have evolved to facilitate the co-evolution of human and information networks within communities. These advanced information systems use various paradigms including artificial intelligence, knowledge management, and neural science, as well as conventional information processing paradigms. Regardless of its specific objective, any system, application or service that involves the use of data, requires among its steps to carry out an in-depth analysis of the information captured, with the aim of making the most of its particular characteristics and thus transforming the data.\u00a0<\/p>\n

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knowledge relevant to decision making. This analysis begins with the extraction of the appropriate parameters from the different types of data that inform about the most significant features of the same, and if possible, detect unique representation signatures on said data. This process is generally known as feature extraction.<\/p>\n

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The objective of this training course is to present a user-friendly approach to a wide range of classic Machine Learning techniques and methods and data analysis. In this course, you will learn the basic concepts of machine learning and data mining, covering the necessary knowledge to start in this world. Within the general aspects to carry out an adequate data analysis, both the theoretical foundations and the implementation of the most used algorithms such as Linear Regression, Logistic Regression, SVM, KNN, Decision Trees and Neural Networks will be dictated. Ways of pre-processing the data will be shown, reaching a comprehensive understanding of how to clean, transform, handle categorical variables and unbalanced data. By the end of this course, you will know the ABC\u2019s of Machine Learning and you will be able to implement what you have learned on your own. In order to make a first friendly approach, implementations will be made in high-level software called Orange.<\/p>\n

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Required skills\/abilities:\u00a0<\/strong><\/p>\n

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