Dr. Wei Wang

Dr. Wei Wang is an Associate Professor of Computer Science at San Diego State University (SDSU). He joined San Diego State University in August 2014. He was an Assistant Professor of Computer Science at South Dakota State University from January 2010 to May 2014. He received his Ph.D. degree in Computer Engineering with Significant Computer Science Emphasis from University of Nebraska - Lincoln, NE, USA, in December 2009. He worked as a Software Engineer with Nokia Siemens Networks Ltd (former Siemens Communications Ltd) in 2005. His research interests include wireless multimedia communications, QoE-QoS issues, network economics, and optimization issues in IoT.
He serves as an Associate Editor of Wiley Security and Communication Networks Journal (SCIE-Index), the Guest Editor of several journals and special issues such as IEEE ACCESS, Springer MONET, etc, the web co-chair of IEEE INFOCOM 2016-18, the symposium co-chair of IEEE ICC-NGNI 2018, the symposium co-chair of ICNC-MCC 2018, the track-chair of ACM SAC 2014-19, the program chair of ACM RACS 2014-17, workshop co-chair of ICST BodyNets 2013, a Technical Program Committee (TPC) member for many international conferences such as IEEE INFOCOM, GLOBECOM, and ICC, the Co-Director of IEEE MMTC Review Board 2017-2018. He is a Senior Member of IEEE.

Title: Resource Allocation with Smart Media Pricing in Wireless Multimedia Communications and IoTs

With the popularity of various data and content services provided by wireless multimedia streaming and multimedia enriched IoTs, new challenges have been posed to efficiently deal with the big data traffic generated by multimedia with limited wireless communication resources. This talk gives an overview of the challenges and opportunities in designing modern wireless communication systems to accommodate data intensive multimedia services, and provides a reflection of challenges and opportunities of modern multimedia resource allocation. The talk starts with various applications of wireless multimedia, such as telepresence unifying IoT and virtual reality, connected vehicles, and smart healthcare driven by multimedia streaming. Then this talk introduces the trend and evolution of networks economics and smart media pricing concept for wireless multimedia communications. A generalized best-response game-theoretical smart media pricing model is discussed. Factors such as communication power, channel status, and QoE requirements are considered when describing the utility functions. Finally this talk discusses some of the outlooks of smart media pricing in future wireless multimedia communications.

Dr. José Alberto López Fernández

Dr. José Alberto López Fernández is a graduate of the Technological Institute of Toluca, where he obtained the degree of Electronics Engineer. He worked as a Maintenance Engineer in the company Corporative Paper Group from 2008 to 2009. In April 2015 he obtained the degree of Doctor of Science in Electronic Engineering from the Technological Institute of Toluca. During 2014-2016, he worked as a Full-time Professor at the Technological of Higher Studies of Tianguistenco, where he obtained the Recognition of the Desirable Profile of PRODEP. His research interests are focused on multilevel static converters applied to dielectric barrier discharges and modeling and control of power electronics.
Since 2017, he has worked as a Postgraduate Director assigned to the Graduate, Research and Innovation Division of the National Technological Institute of Mexico (TecNM). Where he is responsible for coordinating the processes associated with the provision of education services at the graduate level offered by the institutes, units and centers of the TecNM.

Title: The postgraduate educational offer at the National Technological Institute of Mexico

The TecNM is the largest Higher Education Institution in Latin America with an enrollment of more than 600,000 students distributed in 254 Institutes or Centers and has an educational offer at the graduate level of more than 250 programs, of which 132 are in the National Register of Postgraduate Quality. This talk aims to disseminate the educational offer at the Postgraduate level of the TecNM, where the orientations, modalities and areas of knowledge currently offered will be presented. Later the main supports will be presented to study a postgraduate course as they are; the National Scholarships (Scholarized, Non-Scholarized and Postgraduate with Industry), Mobility Scholarships, SENER Scholarships and the 1000 Youth in Science program. It will address aspects from; requirements, procedure for granting and concepts that cover the scholarships. Finally, emphasis will be placed on postgraduate programs in the areas of engineering, electronics and computers to invite the public to join the postgraduate programs of the TecNM.

Dr. Leonardo Trujillo

Leonardo Trujillo Received a MSc. in Computer Science (2004) from the Instituto Tecnológico de Tijuana and a PhD. in Computer Science from the CICESE research center, in Ensenada Mexico (2008). He is currently professor at Instituto Tecnológico de Tijuana (ITT) in Mexico and works in the Engineering Sciences graduate programs, where he is head researcher of the TREE-LAB research lab. His main interest are developing data modeling and machine learning algorithms based on GP and evolutionary computation. He has over 50 published journal papers, 22 book chapters, 60 conference papers, and 3 edited books from the NEO workshop series he co-chairs. He is also on the editorial board of several respected journals, and is currently PI of several research and development projects, working with both public (CONACYT, TECNM) and private funding.

Title: Automatic Improvement of a SLAM system through source code manipulation with an evolutionary algorithm

Genetic Improvement (GI) performs a search at the level of source code to find the best variant of a baseline system that improves non-functional properties while maintaining functionality, with noticeable results in several domains. There a many aspects of this general approach that are currently being explored. In particular, this work deals to the way in which the search is guided to efficiently explore the search space of possible software versions in which GI operates. The proposal is to integrate Novelty Search (NS) within the GISMOE GI framework to improve KinectFusion, which is a vision-based Simultaneous Localization and Mapping (SLAM) system that is used for augmented reality, autonomous vehicle navigation, and many other real-world applications. This is one of a small set of works that have successfully combined NS with a GP system, and the first time that it has been used for software improvement. To achieve this, we propose a new behaviour descriptor for SLAM algorithms, based on state-of-the-art benchmarking and present results that show that NS can produce significant improvement gains in a GI setting, when considering execution time and trajectory estimation as the main performance criteria.