Dr. Emmanuel Lopez-Neri
Universidad del Valle de Mexico campus Guadalajara Sur
+2
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Academic Career Length
18Years (2009-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
Luis F. Luque-VegaDMDavid A. Michel-Torres
David A. Michel-TorresEmmanuel Lopez-Neri
Miriam A. Carlos-Mancilla
Luis Enrique González JiménezHumanity is currently experiencing one of the short periods of transition thanks to novel sensing solutions for smart cities that bring the future to today. Overpopulation of cities demands the development of solid strategic plannings that uses infrastructure, innovation, and technology to adapt to rapid changes. To improve mobility in cities with a larger and larger vehicle fleet, a novel sensing solution that is the cornerstone of a smart parking system, the smart vehicular presence sensor (SPIN-V, in its Spanish abbreviation), is presented. The SPIN-V is composed of a small single-board computer, distance sensor, camera, LED indicator, buzzer, and battery and devoted to obtain the status of a parking space. This smart mobility project involves three main elements, namely the SPIN-V, a mobile application, and a monitoring center, working together to monitor, control, process, and display the parking space information in real-time to the drivers. In addition, the design and implementation of the three elements of the complete architecture are presented.
27 July 2020 in IEEE Transactions on Engineering Management
Journal Article
MOMora Olga
Mora OlgaEmmanuel Lopez-NeriECE. Julieta Cedillo-Elias
E. Julieta Cedillo-EliasEAEmmanuel Aceves-Martinez
Emmanuel Aceves-MartinezVLVictor M. Larios
Victor M. LariosThe use of Internet-of-things (IoT) applications (solutions) in the real world has increased exponentially. In smart cities, networked IoT devices are collecting data from the physical medium to optimize the decisions to improve city services to citizens. One way to evaluate this services solution is the use of the living labs, shown as a good option to evaluate previous real applications. However, when this is implemented in the real-world cases, most of them are no scalar to the complexity of the city. One of the factors is that it is assumed an IoT infrastructure designed to meet the properties of the scalability for a smart city. This article proposes a validation methodology for the scalability compliant infrastructure: modularity, interoperability, and resiliency properties. The proposed methodology is based on the best practices achieved during a living lab of the Smart Cities Innovation Center in the Universidad de Guadalajara implementation.
1 September 2010 in Simulation Modelling Practice and Theory
Journal Article
Emmanuel Lopez-NeriARAntonio Ramírez-Treviño
Antonio Ramírez-Treviño
ELErnesto López-Mellado
Ernesto López-Mellado
1 July 2015
Conference Paper
JGJ. Octavio Gutierrez-Garcia
J. Octavio Gutierrez-Garcia
Emmanuel Lopez-NeriCognitive computing is a multidisciplinary field of research aiming at devising computational models and decision making mechanisms based on the neurobiological processes of the brain, cognitive sciences, and psychology. The objective of cognitive computational models is to endow computer systems with the faculties of knowing, thinking, and feeling. The major contributions of this survey include (i) giving insights into cognitive computing by listing and describing its definitions, related fields, and terms, (ii) classifying current research on cognitive computing according to its objectives, (iii) presenting a concise review of cognitive computing approaches, and (iv) identifying the open research issues in the area of cognitive computing.
Journal Article
Luis F. Luque-VegaMiriam A. Carlos-MancillaVPVerónica G. Payán-Quiñónez
Verónica G. Payán-QuiñónezEmmanuel Lopez-NeriSmart Cities empower progress through technology integration directed with a strategic approach to sustainable development and citizen well-being. The creation of solid strategic planning boosts the development of infrastructure, innovation, and technology. However, the above can be compromised if citizens are not properly involved; therefore, it is relevant to enhance citizen participation when a new Smart City project appears on the horizon. This work presents a Smart Cities Oriented Project Planning and Evaluation (SCOPPE) Methodology that combines the citizen participation and the Minimum Viable Product creation through adaptive project management. Moreover, since the smart mobility projects represent the first step towards a Smart City, a case of study of an Intelligent Parking System (SEI-UVM) is presented following the SCOPPE Methodology. The application’s steps results lead us to key and useful information when defining, designing, and implementing the minimum viable product of the cornerstone device of the SEI-UVM: the Smart Vehicle Presence Sensor (SPIN-V). It is worthwhile to mention that the proposed SCOPPE Methodology could be extended to any Smart City project.
Journal Article
FPFrancisco Pérez-Reynoso
Francisco Pérez-ReynosoNFNeín Farrera-Vazquez
Neín Farrera-VazquezCCCésar Capetillo
César CapetilloNNestor Mendez
Nestor Mendez CGCarlos Alberto Gonzalez
Carlos Alberto GonzalezEmmanuel Lopez-NeriHuman Machine Interfaces (HMI) principles are for the development of interfaces for assistance or support systems in physiotherapy or rehabilitation processes. One of the main problems is the degree of customization when applying some rehabilitation therapy or when adapting an assistance system to the individual characteristics of the users. To solve this inconvenience, it is proposed to implement a database of surface Electromyography (sEMG) of a channel in healthy individuals for pattern recognition through Neural Networks of contraction in the muscular region of the biceps brachii. Each movement is labeled using the One-Hot Encoding technique, which activates a state machine to control the position of an anthropomorphic manipulator robot and validate the response time of the designed HMI. Preliminary results show that the learning curve decreases when customizing the interface. The developed system uses muscle contraction to direct the position of the end effector of a virtual robot. The classification of Electromyography (EMG) signals is obtained to generate trajectories in real time by designing a test platform in LabVIEW.
About Me
Education history: Emmanuel Lopez-Neri received a B.S. degree in electronic engineering from the Technological Institute of Culiacan, Sinaloa, Mexico, in 2006, and both the M.S. and Ph.D. degrees in electrical engineering with orientation in automatic control from the Center for Research and Advanced Studies of the National Polytechnic Institute CINVESTAV Unidad Guadalajara, Jalisco, Mexico, in 2010 and 2014, respectively. In addition, he has a post-doctorate stage from the Department of Electronics, Systems, and Informatics of the Western Institute of Technology and Higher Education ITESO San Pedro Tlaquepaque, Jalisco, Mexico, obtained in 2015.
Career history: He is currently an associate professor at Centro de Investigación, Innovación y Desarrollo Tecnológico CIIDETEC-UVM campus Guadalajara Sur in Jalisco, Mexico. He is certified as a Jalisco Innovation Agent by the Ministry of Innovation, Science and Technology of Jalisco SICyT through Monterrey Institute of Technology and Higher Education ITESM campus Guadalajara, and he has a distinction from the National Research System by the National Council of Science and Technology CONACyT Mexico. Dr. Luque-Vega became an IEEE Senior Member in 2020 and he is currently Chairman of the Robotics and Automation Society in the IEEE Guadalajara Section.
Research interests: engineering education, robotics, drones, computer vision, robust nonlinear control, intelligent control, and distributed control applied robotic systems.