Workshops

This post is also available in: enEnglish esEspa√Īol

WORKSHOP 1: Introduction to Big Data and social network analysis case study (Twitter)

Content: The workshop will start with a brief introduction to Big Data (definitions; value chain; areas of Big Data; Big Data professional profiles; data source; differences concerning traditional data technologies, types of data, and data flow; data quality; the V’s of Big Data). In a second block, we will analyze a case study using a documentary database (a MongoDB cluster), where a few thousand tweets (Python+Colab+Twitter Developer) will be stored to finish showing a dashboard resulting from the analysis of these data (MongoDB Charts). In this second block, some additional theoretical concepts will be given for students to follow the explanations seamlessly. Also, to deploy the cluster and request the Twitter Developer account to see the case study, further details will be shown so that students can adapt it to their preferences.

Required skills/abilities: The instructor will give the basic concepts to understand the workshop, but those students with basic knowledge of Python programming and databases will get more benefits.

Tools: All tools are cloud-available and free access to run the case study during the workshop and for attendees to continue working with them after the workshop is over. Python + Colab https://colab.research.google.com/ MongoDB Atlas https://www.mongodb.com/ Twitter Developer https://developer.twitter.com/

Audience: Academic community in general.

Duration:  3 hours

Date/Time: June 22th, 2022 (9:30-12:30 GMT-5).

Modality: Hybrid

Venue: Room for multiple purposes (1st floor, Building D)

Available seats on-site:65

Available places online: 100

Registration date: Until 21 June (applies to all attendees, virtual or face-to-face).

Registration link: Available here.

Instructor:  PhD. Roger Clotet, Universidad Internacional de Valencia (VIU), Spain.

Ph.D. in Engineering from the Universidad Sim√≥n Bol√≠var, Venezuela and Computer Engineering from the Universidad Polit√©cnica de Catalu√Īa, Spain. He began his professional career in the private sector, working on multiple IT projects in Spanish companies, multinationals, and international organizations such as the UN. Subsequently, he has been dedicated to teaching and research in several universities: Polytechnic University of Catalonia (Spain), Johannes Kepler University (Austria), Simon Bolivar University (Venezuela), Andres Bello Catholic University (Venezuela) and University of the Armed Forces of Ecuador (ESPE). He is currently a Professor and Researcher at the Valencian International University (VIU) where he teaches in the Master in Big Data and Data Science and in the Degree in Computer Engineering. At a managerial level he is the Director of the mentioned degree and Principal Investigator of the Data Science Research Group (GRID) both at VIU. He is a senior member of the Institute of Electrical and Electronics Engineering (IEEE). His current research interests include: e-Agriculture, e-Health, Big Data, Wireless Sensor Networks and Humanitarian Technology. He has participated in numerous international research projects and published more than 50 papers in international journals and conferences.

 



 

WORKSHOP 2: Business resilience in times of pandemic

Content: Every day, companies have to face many threats due to their changing nature and the highly dynamic environment in which they operate. One example of this unstable and uncertain environment is that caused by the COVID19 pandemic, which has had and is having devastating effects on the health of the population and the economic health of companies. To cope with this situation, experts point to the resilience of companies, understood as the ability to anticipate and prepare for threats, adapt to the new context, and recover once the threat has already occurred and has had a negative impact. The workshop will review the constituent capabilities of business resilience and detail the business resilience response to COVID-19. It will also describe the different existing procedures to improve the resilience capacity and business continuity of companies. The European project  (No. 2021-1-IT01-KA220-VET-000033287) that will provide a Business Continuity Managers Training Platform will be also described during the Workshop.

Required skills/abilities: Basic knowledge of quantitative methods.

Tools: SATIER (Self-Assessment Tool to Improve Enterprise Resilience)

Audience: Academic community in general.

Duration:  2 hours and 30 minutes

Date/Time: June 22, 2022 (9:30-12:00 GMT-5).

Modality: Hybrid

Venue: Auditorium (1st floor, Building D)

Available seats on-site: 150

Available places online: 150

Registration date: Until 21 June (applies to all attendees, virtual or face-to-face).

Registration link: Available here.

Instructora: ¬†Dra. Raquel Sanchis Gisbert, ‚Äď Center for Research in Production Management and Engineering (CIGIP), Universitat Polit√®cnica de Val√®ncia, Spain.

Raquel Sanchis holds a Ph.D. in Industrial Engineering and Production from the Universitat Polit√®cnica de Val√®ncia (Spain) and a Diploma of Advanced Studies in the Ph.D. Program: Advanced Models for Operations Management and Supply Chain Management. She has been a Professor in the Department of Business Organization since 2012. She has participated in numerous teaching publications and educational innovation and improvement projects (PIME), being the Coordinator of the Institutional PIME: “Incorporation of project-based learning in the undergraduate degrees of the Polytechnic School.” She has had an outstanding research career since 2006, participating in 18 research projects in the field of Organizational Engineering. She has been the Project Manager of the European Project: Resilient Multi-Plant Networks (EU FP7 Project 229333, 2009-2012), Technical Agent in the European Project: Cloud Collaborative Manufacturing Networks (EU H2020 Project 636909, 2015-2018), and is currently the Quality Control Manager of the European Project: Industrial Data Services for Quality Control in Smart Manufacturing (EU H2020 Project 958205, 2021-2023). Her publications include 35 contributions in articles in prestigious journals, nine book chapters, and 55 papers in conferences. She is also the editor of 3 books.

 



 

WORKSHOP 3: Applications of submodeling in large-scale problems using finite element analysis

Content: Since their commercial introduction in the 1950s, computers have been widely used in all branches of engineering to assist in the design, modeling and analysis of complex problems. Computers have allowed engineers to numerically test real physical problems with different initial and boundary conditions. The proposed computational models help to identify potential errors, make data-driven decisions and provide solutions before turning needs and dreams into reality, leading to substantial savings in time, money and human capital. The finite element method is today one of those powerful and robust computational modeling tools used for the approximation of differential equations over complex domains. However, the computational cost required by the method to solve with adequate accuracy large-scale problems with coupled physics can make a finite element analysis difficult, if not impossible, to perform. With the application of the Saint-Venant principle, it has been shown that it is possible to provide improvements in the resolution processes and to increase the applicability of the finite element method to a larger number of present-day engineering challenges. In this way, a sub-modeling technique based on the Saint-Venant principle is used in the analysis of complex models where a local volume of the problem domain and its meshing are defined from information transferred from global solutions with coarse meshes; thus finding that a complex problem of large dimensions can be analyzed from a simplified and conventional perspective without losing accuracy in the results.

Required skills/abilities:

Basic knowledge of methods and numerical simulation in engineering.

Tools: Basic knowledge of methods and numerical simulation in engineering.

Audience: Community of undergraduate and graduate students and faculty researchers interested in modeling with engineering applications.

Duration: 3 hours 

Date/Time: June 22, 2022 (9:30-12:30 GMT-5).

Modality: Hybrid

Room: Autotronics Laboratory (Mezzanine, Building E)

Available seats on-site: 20

Available places online: 100

Registration date: Until 21 June (applies to all attendees, virtual or face-to-face).

Registration link: Available here.

Instructor:  PhD. José A. Alvarado Contreras. School of Mechanical Engineering, Universidad de Los Andes, Venezuela.

He graduated in Mechanical Engineering and had a master’s degree in Applied Mathematics in Engineering from Universidad de Los Andes in Venezuela. He obtained a Ph.D. degree in Civil Engineering from the University of Waterloo in Canada. He spent three years as a postdoctoral researcher at San Diego State University in the United States in mathematical modeling of sintering processes affected by gravity acceleration funded by the National Aeronautics and Space Administration (NASA). He is currently a Professor at the School of Mechanical Engineering of Universidad de Los Andes and Coordinator of the master’s program in Mechanical Engineering at the same institution. He is a visiting professor at Moscow Engineering and Physics University (Russia) and Universidad Politécnica Salesiana (Ecuador). He has taught undergraduate courses in Strength of Materials, Mechanics of Materials, Mechanical Design, and Materials Science. He has also taught graduate courses in Numerical Methods, Mechanics of Continuous Media, Solid Mechanics, and Finite Elements. He has dedicated his research work to modeling the mechanical behavior of materials, emphasizing multiscale modeling, continuum damage mechanics, and consolidation of porous materials.

 



 

WORKSHOP 4: Tips for writing and submitting scientific articles to international journals in engineering

Content: First, the importance of publishing articles to strengthen the academic and business profile will be discussed, showing the benefits for an engineer to have publications in scientific journals. Subsequently, the basic sections of an article focused on the requirements of journals in the field of engineering (title, abstract, introduction, theoretical framework, methodology, results, discussion, conclusions, and references) will be addressed one by one, delving into the essential aspects in the writing of each of these sections and exposing the elements taken into account by international reviewers to accept or reject a publication. Subsequently, some elements of academic writing that should be considered when structuring a manuscript will be worked with exercises and examples. Additionally, it will be shown how to identify three key elements to make the article more striking: comparison with other studies, the added value of the research, and practical implications. Finally, the ten most common errors identified when submitting a scientific article to high-impact journals will be discussed.

Required skills/abilities: Basic knowledge of the components of the scientific method.

Tools: 

https://www.scimagojr.com/

https://journalfinder.elsevier.com/

Audience: The proposed workshop is aimed at teachers, undergraduate and graduate students in engineering who are interested in improving their skills in the structuring of scientific articles.

Duration: 3 hours 

Date/Time: June 22, 2022 (14:30-17:30 GMT-5)

Modality: Hybrid

Venue: Auditorium

Available seats on-site: 150

Available places online: 150

Registration date: Until 21 June (applies to all attendees, virtual or face-to-face).

Registration link: Available here.

Instructor:  PhD. Alejandro Valencia Arias, Instituto Tecnológico Metropolitano, Colombia.

Ph.D. in Engineering РIndustry, and Organizations from the National University of Colombia, Master in Systems Engineering from the National University of Colombia, and Engineering Administrator from the National University of Colombia. Editor in chief of CEA Journal (Colombia) indexed in Latindex, Redalyc, EBSCO, and DOAJ. He has been head of a research center. Visiting Professor at the University of Chiapas РMexico. Associate Professor at the Faculty of Economics and Administrative Sciences in Instituto Tecnológico Metropolitano (ITM). Recognized as Senior Researcher by the Ministry of Science, Technology, and Innovation (Colombia). Categorized as a researcher in RENACYT (Peru) in the Carlos Monge Medrano category. Level: I. He has 75 articles published in Scopus journals and a HIndex of 30 in Google Scholar. Among his lines of research are: Agent-based Simulation, System Dynamics, Technology Adoption Models, Knowledge Management, Market Research, and Technological Entrepreneurship. He has participated as a speaker in academic events in Japan, Turkey, China, Morocco, United Arab Emirates, the United States, Spain, and Poland.

 



 

WORKSHOP 5: Simulation of internal combustion, electric, and hybrid vehicle powertrain systems

Content: This workshop will show the different tools available in the SIMSCAPE platform to simulate electric traction systems. The use of these tools allows the analysis of various characteristics such as fuel consumption, power analysis, and efficiency present in the topologies of different types of vehicles. The first part of the session will provide a general powertrain analysis for each vehicle type (internal combustion, electric, and hybrid). The second part will analyze the different tools offered by the SIMULINK/SIMSCAPE platform, such as Sensors, sources, and configurations of each element, to generate models for the vehicle powertrain. Finally, different methodologies for developing simulations will be analyzed, using other tools to obtain results and energy consumption efficiency.

Required skills/abilities: Knowledge in Matlab/Simulink (Available at: https://la.mathworks.com/products/matlab.html, versión R2022 is recommended).

Tools: 

Software: MATLAB & Simulink

Download link: https://la.mathworks.com/products/matlab.html

Note: the latest version R2022 is recommended.

Audience: Undergraduate and graduate students

Duration: 3 hours 

Date/Time: June 22, 2022 (14:30-17:30 GMT-5).

Modality: Hybrid

Location: Computer Lab B1 (Third floor Building B)

Available seats on-site: 40

Available places online: 150

Registration date: Until 21 June (applies to all attendees, virtual or face-to-face).

Registration link: Available here.

Instructor:  Prof. Juan Diego Valladolid, Universidad Politécnica Salesiana Sede Cuenca, Ecuador.

Juan D. Valladolid was born in Cuenca, Ecuador. He received his Electronic Engineering degree from the Universidad Polit√©cnica Salesiana, Cuenca, Ecuador. He studied and received his Master’s Degree in Industrial Control and Automation from the Universidad Polit√©cnica Salesiana. He is currently pursuing a Doctorate Program in Engineering at Pontificia Universidad Javeriana, Bogot√°, Colombia. He is now a full-time professor at the Universidad Polit√©cnica Salesiana and a Transportation Engineering Research Group (GIIT) member. He is the author of several papers. His current research interests include hybrid dynamic systems, power converters, system optimization, electric vehicles, and nonlinear control systems.

 



 

This post is also available in: enEnglish esEspa√Īol


Search

Recent Comments

    Categories

    • No categories