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5G/6G networks and the use of MATLAB in prompt prototyping

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  software-defined  radio  devices,  as  well  as  a  review  of  the  coexistence  mechanisms  between  different  radiocommunications  services and the functionalities  currently  offered  by  Matlab  for  rapid  prototyping  and coexistence analysis between frequency bands. The workshop includes a brief introduction  to  the  evolution  of   the  3GPP  systems  architecture  and  the  selections   3GPP  38.104,  Release  17,  which  includes  frequency  bands, bandwidths,  carrier  shape.  Finally,  a  quick  review  of  the  technologies  that  are  being developed  for  6G is  made. The tutorial may have a practical component with Matlab, to illustrate the topics discussed.

Prof. Andrés Navarro РICESI University, Colombia

Prof. Andrés Navarro  is  an  Electronic  Engineer  (1993), with  a Master  on  Technology Managenment (1999), both from  Pontifical  Bolivarian  University  in  Medellin.  Obtained  his  PhD  in  Telecommunications  from Universitat  Politécnica de Valencia  in  2003. He  is  IEEE  member  since  1995 and Senior Member since 2014. Advisor of the Spectrum Management Committee  for  Colombian  Spectrum  Agency  and  ITU  expert.  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. 

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.

Introduction to machine learning using Orange.

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. 

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.

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’s 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.

Required skills/abilities: 

  • No necessary knowledge of programming and mathematics concepts.


  • Laptop

Prof. Jean Carlo Macancela – Salesian Polytechnic University, Ecuador

Prof. Jean Carlo Macancela ¬†is an Electronic Engineer from the Salesian Polytechnic University, Cuenca-Ecuador, in 2016. Master’s Degree in Logic, Computing and Artificial Intelligence from the University of Seville, in 2018. External collaborator of the Research and Development group in Industrial Technologies (GIDTEC) with which has achieved more than 10 publications in indexed journals and international conferences. Active collaborator of different events of an academic nature within the different universities of Cuenca.¬†

Teacher of the Agrotech 4.0 online master’s degree at the Folgado Training Center, in Valencia-Spain Entrepreneur, co-founder of the data analysis company called AmautaTech.



Precision agriculture with drones.

Precision agriculture presents new opportunities in the field of improving the productivity of the fields and caring for the environment through the use of technology, taking into account the importance of agriculture and the environment for the present and future of humanity. One of these technologies is the use of drones with multispectral sensors and geospatial data, where an approach to the state of a crop is efficiently achieved, facilitating data integration and decision making. The problem arises when it comes to understanding who can access this technology and how small farmers can be users and use this data to improve their results.

Prof. C√©sar √Ālvarez-Mendoza – Salesian Polytechnic University, Ecuador

Prof. C√©sar √Ālvarez-Mendoza ¬†is an Assistant Professor at Salesians Polytechnic University, Quito, Ecuador. He obtained a PhD in Remote Sensing from the University of Porto, Portugal, an MA in Environmental Management from The Armed Forces University (ESPE) and a BEng in Geographical Engineering at the same ESPE in Ecuador.¬†

His research focuses on using Remote Sensing, including drone data, in Geospatial Data science.




Bioethical guidelines for technological project development in Ecuador.

The current reality converges that in Ecuador sustainable development is essential from ethical and bioethical principles and criteria that allow the practicing of the care and protection of the natural environment. As well as that, the creation of Bioethics committees that promote the implementation of a Bioethics code that regulates the design, use, and importation of new environmentally friendly technologies. In addition to promoting technical projects in the construction and approval of the same. It means the urgent need for bioethical principles to assume them objectively and clearly in the research groups of the university and the scientific society, in favor of the environment.

In this way, the scientific-technological academy will seek a way to create a network of universities with the implementation of an ethics and bioethics committee, which manages to program, dialogue, and reach a consensus that manages to establish a schedule of training and training for citizens, and educational institutions and, thus, preventively promote the evaluation and review of the impact of Technology in the respective industries and the environment.

Prof. William √ćtalo Jumbo-Gonz√°lez – Salesian Polytechnic University, Ecuador

Prof. William √ćtalo Jumbo Gonz√°lez is Ph.D. in Philosophy, with an emphasis in Technoscience of Industry 4.0, investigates in the GI-BI Bioethics research group of the Salesian Polytechnic University, Quito, and searches in practice based on the contributions of the master‚Äôs degrees in Philosophy and Bioethics, on the impact of current technology on human beings, society, and the environment. However, as a teacher and researcher, he works on the implementation of ethical and Bioethical principles for the responsible use of the IA language model, as a functional tool and not a substitute for human relations or critical judgment, which will allow informed decision-making and better understanding of the world around us.¬†

This is if the potential of AI is fully exploited and used to improve our lives and our environment.


Accelerating Renewable Energy by Artificial Intelligence.

Content: To-date, most of the energy sector’s transition efforts have focused on hardware: new low carbon infrastructure that will replace legacy carbon-intensive systems. Relatively little effort and investment has focused on another critical tool for the transition: next-generation digital technologies, in particular artificial intelligence (AI). These powerful technologies can be adopted more quickly at larger scales than new hardware solutions and can become an essential enabler for the energy transition.

AI is already proving its value to the energy transition in multiple domains, driving measurable improvements in renewable energy forecasting, grid operations and optimization, distributed energy assets and demand-side management coordination, and materials innovation and discovery. AI holds far greater potential to accelerate the global energy transition, but it will only be realized if there is greater AI innovation, adoption and collaboration across the industry.

Prof. Renato S√°nchez – Salesian Polytechnic University, Ecuador

Prof. Renato S√°nchez ¬†is an environmental engineer from the National Polytechnic School of Ecuador, a master’s degree in ecological economics from FLACSO and a PhD in collective health, environment and society from the Sim√≥n Bol√≠var Andean University.

He is currently director of the Environmental Engineering course, coordinator of the master’s degree in renewable natural resources and professor of wastewater treatment at the Salesian Polytechnic University. He works as an advisor on issues of wastewater and leachate treatment, solid waste management; and on issues of scientific dissemination.





Development of autonomous driving maps.

During the workshop on autonomous driving maps, the importance of HD (high definition) maps for the navigation of autonomous vehicles will be deepened. These maps provide accurate and detailed information about the road and its surroundings, enabling autonomous vehicles to make safer driving decisions. In addition, the importance of constant updating of HD maps will be discussed, since road information can change frequently. Another important issue that will be addressed in the workshop is the need to start collecting data in the countries to draw the HD maps of their main access roads to guarantee the transitability of autonomous vehicles with a view to developing the integration of these types of technologies to cover latent mobility and security needs. At the end, there will be an HD map made from scratch so that an autonomous vehicle can reach its destination.

Prof. Juan D. Valladolid – Salesian Polytechnic University, Ecuador

Prof. Juan D. Valladolid   obtained his B.Sc. in Electronic Engineering and his M.Sc. in Industrial Automation and Control from Salesian Polytechnic University, in 2010 and 2014 respectively. He is professor of Mechatronic Engineering at the Salesian Polytechnic University.
He is a member of the Grupo de Investigacion en Ingenieria del Transporte (GIIT).

His research interests are nonlinear control theory, intelligent vehicles, electric vehicles and artificial intelligence.




Prof. Milton Garc√≠a-Tobar ‚Äď Salesian Polytechnic University, Ecuador

Prof. Milton Garc√≠a-Tobar¬† ¬†is Automotive Mechanical Engineer (2011) from at Salesian Polytechnic University, has a Master’s Degree in Maintenance Engineering (2014) from the Polytechnic University of Valencia and a Master’s Degree in Mathematics and Computer Engineering (2021) from the International University of La Rioja He currently is Associate Professor in the Automotive Mechanical Engineering Career of the Salesian Polytechnic University, in Cuenca, Ecuador. He is a member of the Transportation Engineering Research Group (GIIT). He has been linked to Maintenance Engineering projects, alternative energies and linked to the study of Electric Vehicles in Ecuador.




Prof. Juan P. Ortiz – Salesian Polytechnic University, Ecuador

Prof. Juan P. Ortiz  obtained his B.Sc. in Electronic Engineering and his M.Sc. in Industrial Automation and Control at Salesian Polytechnic University, in 2010 and
2014 respectively. He is professor of Mechatronic Engineering at Salesian Polytechnic University. He is a member of the Grupo de Investigacion en Ingenieria del Transporte (GIIT). His research interests are nonlinear control theory, intelligent vehicles, electric vehicles and artificial intelligence.





Industry-Academy: Finding Solutions

MSc. Manuel Laredo Garnica – CEO MAMUT, Bolivia

MSc. Manuel Laredo Garnica is a social entrepreneur and founder of the circular Bolivian-Paraguayan company Mammut. Awarded as one of the 100 most important global leaders with conscience by the British Digital Magazine HOTTOPICS.COM, one of the 25 creators of a new economy in Bolivia by the “Nueva Econom√≠a Magazine” in 2018 and among the 100 most reputable Bolivian leaders by the MERCO corporate business monitor in 2022. Industrial Engineer from the Universidad Mayor de San Sim√≥n. Master in Polymers and Biopolymers from the Polytechnic University of Cayalunya in Spain. Diplomas in Competitiveness at Georgetown University and Michigan State University in the United States. Winner of 6 international social entrepreneurship awards. In 2019, he was a Humphrey Fellow at Michigan State University in the United States. ¬†

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