Multi-objective Optimization – Computational Intelligence

Interest in Multi-Objective Optimization (MOP) has been notably increasing since Multi-Objective Optimization Evolutionary Algorithms (MOEAs) proved their ability to solve optimization problems with several conflicting objective functions, even when many objective functions are simultaneously considered. This talk will mathematically present a general MOP as well as different alternatives and algorithms to solve a MOP, analyzing its application to several different areas of science, engineering, economy, industry and even social areas. Practical examples will illustrate the main concepts, summarizing the start of the art.

Baran

Benjamín Barán
PhD in Systems and Computer Engineering (Federal University of Rio de Janeiro – Brazil, 1993), Master in Electrical Engineering (Northeastern University, Boston – United States, 1987), Electronic Engineer (Asunción National University, Paraguay – 1983), with a widely scientific and academic experience at several universities in three continents, he has published more than a hundred scientific articles, having been awarded a dozen awards and recognitions as: The Honor of Merit Latin American Computer Science in 2013, The Panamerican Prize in Scientific Computing in 2012, The National Prize of Sciences of Paraguay – 1996, The Andrés Barbero – 1982 Prize of the Scientific Society of Paraguay, and moreover, he received a Doctorate Honoris Causa by the National University of the East in 2012. He is a member of the Honorary Scientific Commission (category III) of the National Program of Incentive to Researchers – PRONII of CONACYT. For more than two decades he has served as president of the consultancy Barán y Asociados – CBA, leading large projects in computing and communications from both the public and the private sector, including consulting works for agencies Internationals such as ITU, UNESCO, UNDP, OAS, World Bank and IDB. His main research areas are: cloud computing, multi objective optimization problems, bio-inspired algorithms, communications networks, applications to engineering and quantum computing.


What can we do in education with less “friction”? – Learning Analytics

We already know, Information and Communication Technologies (ICT) are disrupting the established order in the Industrial Age. All processes (business, personal, conceptual, of all kinds) are transformed, business models are modified and new ones are identified. The instantaneous and massive communication capacity eliminates many of the frictions and stiffness of the Industrial Age.
How does the exponential evolution of ICT affect teaching-learning processes?
We see how MOOCs (massive open online courses) expand the scope of the recipients of education with little effort and how learning analytics allows us to go into details of the educational process never before observed. But this only represents in principle what is possible. In the presentation, we will reflect on the opportunities that lie before us,but also on the challenges, uncertainties and difficulties of managing change.

Delgado

Carlos Delgado Kloos
He is a Telecommunications Engineer from the Polytechnic University of Madrid, Spain and PhD in Computer Science from the Technical University of Munich, Germany. He is professor of telematics engineering at the Carlos III University of Madrid where He is also director of the GAST Research Group and Director of the UNESCO chair on “Scalable Digital education for all”. He is also vice-rector of strategy and Digital education at his university. He coordinates the eMadrid network on educational technology in the community of Madrid and is the Spanish representative in the TC3 Committee on Education of IFIP. He has led a multitude of research projects at both the European, national and bilateral levels. He has been the manager of the National I+D Program in ICT in the ministry. He has carried out research stays in universities such as Harvard, MIT, Munich and others. The number of scientific contributions in national and international conferences or magazines exceeds 400. In addition, he has written a book and co-edited more than a dozen.


Understanding Confusion in Code Reviews – Software Engineering

Code reviews are an important mechanism for software quality assurance. However, performing code reviews can be difficult. Several studies show that code reviewers often do not understand or are confused about the change under review and its context.
In this work, We try to understand such phenomenon of confusion in code reviews. First we create a framework for confusion identification in code reviews’ comments. Then we investigate the reasons, impacts and how developers overcome confusion. And lastly, we deepen our study to investigate the intention of developers questions to understand how and what developers ask when they are confused.

Felipe

Felipe Ebert
I’m a researcher from the Informatics Center (CIn), Federal University of Pernambuco (UFPE) under supervision of Prof. Fernando Castor and Prof. Alexander Serebrenik. My research interests are related to how software sytems and developers interact with each other. I’m interested in both technical and social aspects of software maintenance, specifically code reviews, mining software repositories, and also social development aspects.


Soft Computing & e-government at Ecuador. Challenges and opportunities

Nowadays, several governmental institutions around the world faced new challenges in order to improve their services and increase citizen’s engagement. Artificial Intelligence (AI) and Soft Computing (SC) approaches, have given some insights and positives outcomes. E-Government maturity models proposed by international organizations pushing toward citizens and governmental institutions working together. In this sense, governmental institutions at Ecuador show several efforts in E-government field, however early efforts with AI & SC approaches have been evidenced. This presentation explores Challenges and opportunities that governmental institutions at Ecuador should considered in the short and middle term with AI & SC approaches.

Jaime

Jaime Meza
PhD in Project and Systems Engineering with mention of International Doctor and Cum Louden of excellence from the Polytechnic University of Catalonia, Spain; Master in Business Administration (MBA) and Computer Engineer. Postdoctoral researcher affiliated to University of Fribourg-Switzerland, and external researcher of Technical University of Manabí – Ecuador. Staff member of IEEE eGovernment STC. His research interests are Collective Intelligence, Soft Computing, recommender systems, and models of collaborative cognition as a way to improve public services and Higher Education. His research projects seek the reduction of tax evasion-fraud and, the improvement of tax collection using artificial intelligence systems and advanced analytical techniques. In addition, collaborative spatial urban planning supported by cognitive systems and recommendations. He has been a teacher for more than 10 years in multiple universities at Ecuador, as well as a guess professor at the Polytechnic University of Catalonia-Spain and the University of Freiburg-Switzerland. In the professional field, he has held various management positions (project manager, chair and IT advisor, auditor, etc.) in companies and government institutions at the local and national levels


Level Set Method and its Applications to Simulation – Applied Computing

The Level set Method is a numerical technique that allows us to track dynamic interfaces or boundaries. Interestingly, nature has numerous examples of this kind of phenomena. Thus, science and engineering applications have been developed over the years to exploit this technique. This talk presents the theoretical and mathematical construction, implementation ideas, and some applications to the simulation of fluids and biological objects.

Israel

Israel Pineda
He earned his Ph.D. and Master degrees in Computer Science and Engineering from Chonbuk National University, South Korea. He has a Bachelor of Engineering in Computer Systems with a minor in Artificial Intelligence and Robotics from Salesian Polytechnic University, Ecuador. Previously, he worked at the Computer Graphics and Virtual Reality Laboratory of Chonbuk National University where he developed methods to optimize the simulation of fluids and leaves for computer graphics purposes. He has experience in the software industry as a Software Engineer and as a Software Architect. He has participated as a committee member for several academic events. Currently, he is a full-time professor at the Department of Information Systems at Ecuador Metropolitan University where he is a permanent member of the scientific committee. His main research areas include numerical simulation, computer vision, computer graphics, mathematical modeling, and scientific computing.