Virtual Meeting Rooms
The SmartTech-IC 2021 conference organizing committee remains vigilant in its monitoring of the COVID-19 pandemic and will continue to prioritize the health, safety, and wellbeing of its attendees. Due to this, the conference will be held in a hybrid format with both onsite and virtual versions to accommodate all participants. Here!!.. You can access to our virtual auditoriums for all the Oral Presentations and Tutorials of the SmartTech-IC conference
SmartTech-IC is an international conference conceived to attract researchers, scientists and technologists from some of the top companies, universities, research groups, and government agencies from Latin America and around the world to communicate their research results, inventions and innovative applications in the area of Smart Science and the most recent technological trends. The SmartTech-IC conference aims to provide an academic platform to promote the creation of technical and scientific collaboration networks. The SmartTech-IC 2021 conference will be held at Universidad Politecnica Salesiana located in Quito-Ecuador.
We encourage the submission of original, unpublished technical papers on one or more of the listed topics and sub-topics, as are shown below. Potential authors should not feel limited by the listed topics as it is not exhaustive. Topics include, but are not limited, to the following research areas: Smart Technologies, Systems and their Applications. Unlisted but related sub-topics are also acceptable.
> Artificial Intelligence and Machine Learning
> Cloud Computing
> Computational Mathematics
> Data Management, Exploration and Mining
> Deep learnt networks and Evolutionary Systems
> High Performance Computing
> Identity Management and Object Recognition
> Mobile Computing
> Modeling Systems and Software Engineering
> Natural Language Processing
> Pattern Recognition and Analysis
> Reconfigurable Computing Robotics and Human Machine Interface
> Web-based Learning
> Cognitive Radio and Cognitive Networks
> Communication Architecture
> Smart Computing and Personal Area Networks
> Internet of Things (IoT)
> Information, Internet Security and Privacy Localization
> FPGA Development
> Sensor/Embedded Networks and Pervasive
> Social Network Behaviors
> Smart Grid Systems, Intelligent Control and Robotics
> Smart Communication System Models
> Smart Portable Devices
> System Automation
> Power Electronics and Control Scheme
> Vehicular Networking
> Wearables, Body Sensor Networks
> Agricultural Informatics and Communication
> Community Information Systems
> Computer-Aid Diagnosis Systems
> E-governance, E-Commerce and E-Business
> E-Learning and Informatics
> Medical Information Retrieval
> Smart Healthcare Systems
> Smart grid and Renewable Energy
> Storage, Transmission and Access to Medical Information
> Remote Sensing
Germán Moltó received the BSc and PhD degrees in computer science from the Universitat Politècnica de València (UPV), Spain, in 2002 and 2007, respectively. He has been a member of the Grid and High Performance Computing research group (GRyCAP) at the Institute for Molecular Imaging (I3M) since 2002. He is also an associate professor in the Department of Computer Systems and Computation (DSIC) at UPV. He has participated in several European projects (highlighting EOSC-HUB, DEEP Hybrid-DataCloud and INDIGO-DataCloud). He is currently participating in the H2020 EOSC-SYNERGY and AI-SPRINT projects. His broad research interests are in the intersection of cloud computing and scientific computing. He teaches Cloud Computing subjects in the Master’s Degree in Cloud Computing and High Performance Computing, in the Master’s Degree in Cybersecurity and Cyberintelligence, and in the Master’s Degree in Big Data Analytics. He is the creator of the Online Course in Cloud Computing with Amazon Web Services which has trained more than 1000 students in the last years. He also holds an AWS Certified Solutions Architect - Associate certification.
Teodiano Freire Bastos received his degree in Electronic Engineering from Universidade Federal do Espírito Santo (Vitoria, Brazil), in 1987. His specialist's degree in Automation / Robotics from Industrial Automation Institute (IAI) of the CSIC, (Madrid, Spain) in 1989, and his Ph.D degree in Physical Sciences from the Complutense University of Madrid, Spain, in 1994. In addition, Teodiano continued his research career as a postdoctoral at the Universidad de Alcalá (Spain, 2005) and he made a second postdoctoral stay at RMIT University (Australia, 2012). Currently, He is a Full Professor at the Federal University of Espírito Santo and Senior Researcher at the CNPq (Vitoria, Brazil). His broad research interests are in advenced control systems with application to mobile robots, industrial robots, rehabilitation robotics, assistive technologies, as well as in the processing of biomedical signals (sEMG, EOG, ECG and EEG).
Germán Corredor received his BS, MS, and PhD degrees from the Universidad Nacional de Colombia in 2010, 2012, and 2019, respectively. He is a Senior Research Associate at the Case Western Reserve University in Cleveland-Ohio, USA. He also has a Research Associate position at the Louis Stokes VA Medical Center in Cleveland. His current research interests include the development of strategies for predicting patient diagnosis and prognosis using histopathological samples. He is also interested in machine learning, computer vision, software engineering, and medical information systems.
Jairo Espinosa Oviedo received his electronics engineering degree from the Universidad Distrital de Bogotá and a Master (Cum laude) and a Ph.D. (Magna Cum Laude) degrees in Electrical Engineering from the Katholieke Universiteit Leuven.
He is CSO of ENERGÉTICA 2030 and Full Professor at the Universidad Nacional de Colombia (Medellín).
His research is oriented to energy transition in the aspects of mobility, carbon capture, microgrids and electric markets. He is recognized for his skills in mathematical modeling, control, signal processing and simulation, knowledge he has applied in medicine, economics, smart cities, electric networks, oil and gas industry, polymer industry. For many years he was R & D manager for the company IPCOS N.V. in Belgium where he made research in advanced process control systems.
María C. Torres Madronero received her degree in electronic engineering from the National University of Colombia (Manizales). Her master's degree in electrical engineering and her Ph.D. degree in computer and information science and engineering from the University of Puerto Rico, Mayaguez Campus. Currently, she is an associate professor at the Instituto Tecnológico Metropolitano de Medellin and a researcher in the Smart Machines and Pattern Recognition group. Her main research areas include remote sensing, computer vision, artificial intelligence, and machine learning. She has also actively participated in interdisciplinary projects to develop technologies oriented to education, health, and agriculture.
Víctor Larios received his degree in electronic engineering from Instituto Tecnológico de Estudios Superiores de Occidente (Guadalajara, Mexico). His master's degree in Electrical Engineering (1997) and his Ph.D. degree in Computer Science (2001) at the Technological University of Compiègne in France. Currently, he is a full researcher-professor at the University of Guadalajara (UDG) and Director of the Center for Innovation in Smart Cities at CUCEA UDG. For more than 15 years, he has been involved in projects with the industry such as: IBM, Intel and HP, respectively. He is an IEEE Senior member and leader of the Guadalajara Smart City World Pilot (IEEE), where he has supported the creation of a network of Living Labs with the state government, the creation and launch of MOOCs in IEEE Smart Cities. His current areas of interest are focused on topic related on Smart Cities, Complex Systems, Analytics and Visualization, Internet of Things, among others.
Technical papers describing original, previously unpublished papers are solicited in all topics and sub-topics described above. Authors are invited to submit papers through easychair platform.
Submissions will have a double-blind review process and the accepted papers will be included in the SmartTech-IC proceedings.