Tutorials

Tutorials

We invite you to register for the tutorials that will take place during Andescon 2022

Abstract

The design of a digital IC design goes through different steps, design flow, and uses a variety of tools
that are needed to ensure the success of the design. Nowadays, with designs that have a few billions of
transistors, it is almost impossible to design a digital IC design without using Electronic Design
Automation (EDA) tools.
This tutorial will analyze the digital IC design flow detailing each step of the flow. It will also covers the
tools that are needed in each step and how the design methodology has evolved based on the used
technology.

Tutor:

Victor Grimblatt 

Victor Grimblatt has an engineering diploma in microelectronics from Institut Nationale Polytechnique
de Grenoble (INPG – France) and an electronic engineering diploma from Universidad Tecnica Federico
Santa Maria (Chile).  He got a PhD on Electronics University of Bordeaux.. He is currently R&D Group
Director and General Manager of Synopsys Chile, leader in Electronic Design Automation (EDA). He
opened the Synopsys Chile R&D Center in 2006. He has expertise and knowledge in business and
technology and understands very well the trends of the electronic industry; therefore he is often
consulted for new technological business development.
 
He has published several papers in IoT, EDA and embedded systems development, and since 2007 he
has been invited to several International Conferences to talk about Circuit Design, EDA, IoT, and
Embedded Systems. From 2006 to 2008 he was member of the “Chilean Offshoring Committee”
organized by the Minister of Economy of Chile.  In 2010 he was awarded as “Innovator of the Year in
Services Export”. He is also member of several Technical Program Committees on Circuit Design and
Embedded Systems. Since 2012 he is chair of the IEEE Chilean chapter of the CASS. He was President of
the Chilean Electronic and Electrical Industry Association (AIE) from 2017 to 2021. Since 2021 he is
member of the IEEE CASS Board of Governors (CAS BoG). He is the chair of the IEEE CAS Special Interest
Group on Electronics for Agrifood.
 
Victor Grimblatt was professor of Electronics and IC Design in Universidad de Chile and Universidad de
los Andes. He is currently lecturing a course IoT for Agriculture at Universidad Santo Tomas and a course
on Digital IC Design at Universidad de la Frontera, Chile. Victor’s research areas are EDA (Electronic
Design Automation), Smart Agriculture applying Machine Learning, Artificial Intelligence, and IoT, and
Climate Change.

Abstract

During the last decades the demand, design, and fabrication of drugs has increased in an accelerated way. The pandemic caused by COVID-19 emerged the necessity of using more and alternative tools for solving problems associated with vaccines and medicines due to the hard social distance limitations. This promising area is related to the design, discovery and development of new drugs and pharmaceutical forms as it provides more efficient and faster results. The advances in this area have been possible based on the use of computational intelligence models. This tutorial includes some basic concepts related to this field, queries to key databases helpful for this area, and hands-on exercises for modeling of regression models to compute how the compounds are for drug design.

Tutor:

Alvaro D. Orjuela-Cañón

Alvaro D. Orjuela-Cañón received the B.Sc degree in electronics engineering in Bogotá, Colombia in 2006 from Universidad Distrital Francisco José de Caldas. M.Sc degree in electrical engineering from Universidade Federal de Rio de Janeiro (COPPE/UFRJ) in Brazil in 2009. At the same, he was with Electrical Energy Research Centre (CEPEL) in Brazil. In 2015 earned his Ph. D degree in COPPE/UFRJ with study subject related to support the diagnosis of pleural and meningeal Tuberculosis, employing computational intelligence. He is associate professor in the School of Medicine and Health Sciences from Universidad del Rosario, and co-director of the biomedical engineering program and faculty member of the postgraduate program in agreement with the Escuela Colombiana de Ingeniería Julio Garavito, in Bogotá D.C., Colombia. He is recognized as senior researcher by MinCiencias (Colombian minister of science, technology and innovation) and member of the Gibiome research group. In his topics of interest are signal processing, neural networks, machine learning, and artificial intelligence in health as support diagnosis methods. Currently, he is Senior Member of IEEE, chair of the Colombian chapter IEEE Engineering in Medicine and Biology Society (EMBS), and vice-chair of the Colombian chapter of the IEEE Computational Intelligence Society (CIS). He had published around 80 papers in specialized journals and conferences and has been participated as chair of the IEEE ColCACI, IEEE LACCI (2016) and support many IEEE conferences in region 9

Abstract

In this tutorial, we will explore the basic principles of the concept of Programmable Data Planes, and how this concept extends and increases the evolution landscape of Software Defined Networks (SDN). We will discuss its advantages and potential, and how it integrates with the current definition of SDN. Also, we will present the P4 language, which is actually the state-of-the-art approach to the development and implementation of Programmable Data Planes. In addition to this, we will present the step-by-step configuration of a basic experimental environment which allows to acquire hands-on abilities for development of P4 applications and solutions which later can be extended to implement novel functionalities within computer networks.

Tutor:

Sergio Armando Gutiérrez holds a Ph.D degree in Computer Science from Universidad Nacional de Colombia, Sede Medellín, a M.Eng degree from Universidad Nacional de Colombia, Sede Medellín and a B.Eng in Computer Science from Universidad de San Buenaventura, Seccional Medellín obtained in 2018, 2011 and 2008 respectively. He is currently a Postdoctoral Research Fellow in the research group in applied telecommunications (GITA by its acronym in spanish) at Universidad de Antioquia. Formerly, he has been a research lecturer at Universidad Autónoma Latinoamericana and Universidad de Medellín, and lecturer in Universidad Nacional de Colombia, Sede Medellín. His current research interests cover Software Defined Networks, Programmable Data Planes and application of Machine Learning to provide different solutions in the context of Computer Networks, particularly in Security.

The objective of this training course is to present a friendly approach to a wide range of classical techniques and methods of Machine Learning and data analysis. In this course, you will learn the basic concepts of machine learning and data mining, covering the necessary knowledge to get started 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 to pre-process the data will be shown, reaching a comprehensive understanding of how to clean it, transform it, handling categorical variables and unbalanced data. At the end of this course, you will know the ABC 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 the high-level software called Orange.

Tutor:

Jean Carlos Macancela it's an electronic Engineer from the Salesian Polytechnic University, Cuenca-Ecuador, in 2016. Master 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 he has achieved more than ten publications in indexed journals and international conferences. Active collaborator of different academic events within the various universities of Cuenca. The online master's program teacher, Agrotech 4.0, at the Folgado Training Center in Valencia-Spain. Entrepreneur and co-founder of the data analysis company called AmautaTech. Founder of the company and developer studio KODELIV SAS based in Cuenca-Ecuador. Currently, its research field is the application of Machine Learning models to perform fault diagnoses on industrial mechanical equipment. Furthermore, he has developed image and signal processing tools to deploy experiments and production projects involving the application of computer vision, NLP applications, and Deep learning models, performing data analytics for business intelligence in those related tasks.

Abstract

The NESC is a code published exclusively by IEEE, which is revised every five years to keep it up to date with changes in industry and technology, it is referenced in more than 100 countries and its publication dates back more than a century. It establishes the basic rules and guidelines for the practical protection of electrical utility workers and the public during the installation, operation, and maintenance of electrical supply, communication lines, and associated equipment. Its latest edition was published on August 1, 2022 and corresponds to the edition that will come into force in 2023. Knowledge of the scope and application of this code is essential for the electrical service and telecommunications industry, since it has the provisions mandatory minimum security requirements that facilities and personnel must abide by, so the violation of some of these guidelines constitutes recognized professional malpractice.

Keynote Speaker:

Electrical Engineer, he completed a Postgraduate study as a specialist in Electrical Installations and then a Master's Degree in Electrical Installations. He has certifications in Cathodic Protection Systems and Project Management, has worked on multiple projects in the Oil & Gas, petrochemical, energy and mass transportation sectors. He has published several articles in conferences and technical journals in the areas: Corrosion, Grounding, Applied Linear Optimization. He has been a speaker at several international congresses, as well as seminarians on various topics in the area of ​​Power and Energy, has published several books on grounding and lightning protection, and is currently Director of Operations of the consulting company KAIZEN.

Abstract

An important way to understand the operation of computer and electronic circuits and systems is to analyze how these circuits and systems were really implemented. It will be shown the evolution of integrated circuits design approaches, based on the analysis of the implemented architecture (organization) of several microprocessors.  We will take a journey through the interior of several chips, using photos taken with an optical microscope. Most of the photos were done after taken out the metal layer using an acid. This procedure allows to get more colorful photos where it is easier to identify the transistors and the connections between them. It will be shown some design solutions from the physical level to the system level, solutions observed through the reverse engineering of microprocessors, such as the Z8000, and which are not described in the literature. The Z8000 presents a very interesting internal architecture solution that will be presented in the talk. Some images got when testing circuits using an e-beam microscopes will be shown. These images allow to see which locations in the chip are at logical level 1 or zero. Visualization tools are becoming more and more important to navigate in a chip using different zoom levels. Also, it will be shown the use of visualization tools to understand how EDA algorithms and tools perform in the physical synthesis process. For example, in the placement of logic cells of circuits, in the beginning all cells are placed in the center of the chip. Then, the placement tool will move the cells, searching for a final destination. This movement of cells can be seen in real time, helping the tool designer improve the algorithm by seeing how it is working.

Keynote Speaker:

Electrical Engineer, he completed a Postgraduate study as a specialist in Electrical Installations and then a Master's Degree in Electrical Installations. He has certifications in Cathodic Protection Systems and Project Management, has worked on multiple projects in the Oil & Gas, petrochemical, energy and mass transportation sectors. He has published several articles in conferences and technical journals in the areas: Corrosion, Grounding, Applied Linear Optimization. He has been a speaker at several international congresses, as well as seminarians on various topics in the area of ​​Power and Energy, has published several books on grounding and lightning protection, and is currently Director of Operations of the consulting company KAIZEN.