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 2022 conference will be held in conjuntion with ATICA 2022 conference, at Universidad Politecnica Salesiana located in Cuenca - Ecuador.
The proceedings of SmartTech-IC 2022 will be published with Springer in their Communications in Computer and Information Science (CCIS) series.
You can see our previous Smart Tech-IC proceedings on SpringerLink
All volumes published as part of the Communications in Computer and Information Science (CCIS) are indexed by the following services: DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, and Scopus. CCIS volumes are also submitted for the inclusion in Conference Proceedings Citation Index (CPCI), part of the Web of Science. More information about indexing of the CCIS Series is available through the Publisher's website (CCIS).
ATICA is an international congress organized within the framework of the Erasmus+ project from the European Union (EduTech), which provides a forum that will foster relations between the university and industry. This congress aims to provide alliances for developing innovative ideas related to TICs, Computer Science, emerging technologies based on the web, mobile computing, accessibility, quality of higher education, virtual education (in any of its modalities), social inclusion in higher education, entrepreneurship and employability of graduates.
For more information about to ATICA 2022, you can visit its ATICA official website
We encourage the submission of original, unpublished technical papers on one or more of the listed topics and sub-topics, as are shown below.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
Sri Krishnan joined Toronto Metropolitan University, Toronto, Canada in 1999, and he is now a Professor of Electrical, Computer Engineering, and Biomedical Engineering. Sri Krishnan's research interests are in biomedical signal analysis, audio signal analysis, and explainable machine learning. He is a Fellow of the Canadian Academy of Engineering. From 2007-to 2017 he was a Canada Research Chair in Biomedical Signal Analysis. Sri Krishnan has published 405 papers in refereed journals and conferences, filed 16 invention disclosures/patent applications, and has been a scientific advisor to six AI/wearables start-ups. Sri Krishnan is a recipient of the Outstanding Canadian Biomedical Engineer Award, Achievement in Innovation Award from Innovate Calgary, Sarwan Sahota Distinguished Scholar Award, Young Engineer Achievement Award from Engineers Canada, New Pioneers Award in Science and Technology, and Exemplary Service Award from IEEE Toronto Section.
Nitish Thakor received his undergraduate degree from the Indian Institute of Technology, in Bombay, India. He earned both a M.S. and a Ph.D. in biomedical engineering from the University of Wisconsin-Madison. Currently, Dr. Thakor is professor of biomedical engineering and neurology at the Johns Hopkins University School of Medicine. He also has an appointment in the Johns Hopkins Department of Electrical and Computer Engineering. He conducts research on neurological instrumentation, biomedical signal processing, micro and nanotechnologies, neural prosthesis, clinical applications of neural and rehabilitation technologies, and brain-machine interface. One of Dr. Thakor’s research projects, in collaboration with a multi-university consortium funded by DARPA, focuses on developing a next generation neurally controlled upper limb prosthesis. Dr. Thakor directs the Laboratory for Neuroengineering and is also the director of the NIH Training Grant on Neuroengineering.
Fausto García obtained his European PhD with a maximum distinction. Currently, He works at UCLM - Spain as Full Professor (Accredited as Full Professor from 2013), Honorary Senior Research Fellow at Birmingham University, UK, Lecturer at the Postgraduate European Institute, and he has been Senior Manager in Accenture (2013-2014). He has been distinguished with the prices: Grand Prize (2021), Runner Prize (2020) and Advancement Prize (2018) for Management Science and Engineering Management Nominated Prize, First International Business Ideas Competition 2017 Award (2017); Runner (2015), Advancement (2013) and Silver (2012) by the International Society of Management Science and Engineering Management (ICMSEM). He has been Principal Investigator in 4 European Projects, 7 National Projects, and more than 150 projects for Universities, Companies, among others. His main interests are: Artificial Intelligence, Maintenance, Management, Renewable Energy, Transport, Advanced Analytics, Data Science.
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).
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.