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The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
Industrial information technologies
2019 IEEE International Symposium on Information Theory (ISIT)
Information theory and coding theory and their applications in communications and storage, data compression, wireless communications and networks, cryptography and security, information theory and statistics, detection and estimation, signal processing, big data analytics, pattern recognition and learning, compressive sensing and sparsity, complexity and computation theory, Shannon theory, quantum information and coding theory, emerging applications of information theory, information theory in biology.
IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...
Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
2006 5th IEEE International Conference on Cognitive Informatics, 2006
This keynote lecture presents a set of the latest advances in cognitive informatics (CI) that leads to the design and implementation of future generation computers known as the cognitive computers that are capable of thinking and feeling. The theory and philosophy behind the next generation computers and computing technologies are CI. The theoretical framework of CI may be classified as ...
2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing, 2012
Summary form only given. A fundamental challenge for almost all scientific disciplines is to explain how natural intelligence is generated by physiological organs and what the logical model of the brain is beyond its neural architectures. According to cognitive informatics and abstract intelligence, the exploration of the brain is a complicated recursive problem where contemporary denotational mathematics is needed to ...
2015 IEEE 13th International Scientific Conference on Informatics, 2015
The content of artificial intelligence was to explain its specific concepts and provide examples it uses. Artificial intelligence aims at imitating human behaviour or creative human activity. Theory of artificial intelligence sets its goals. It is related to various scientific disciplines which complement it and in which it searches for possible solutions. Artificial intelligence is constantly discussed by scientists, philosophers ...
IEEE Journal of Biomedical and Health Informatics, 2015
This paper provides an overview of recent developments in big data in the context of biomedical and health informatics. It outlines the key characteristics of big data and how medical and health informatics, translational bioinformatics, sensor informatics, and imaging informatics will benefit from an integrated approach of piecing together different aspects of personalized information from a diverse range of data ...
2015 International Conference on Healthcare Informatics, 2015
In recent years, the introduction of data analytics to large amounts of healthcare data collected on daily basis opened numerous new opportunities and challenges in the field of medical informatics. By definition, healthcare informatics refers to the process of leveraging information technologies to improve the quality of healthcare. Many researchers are focusing on basic and translational research to achieve this ...
Jean Camp: Calculating and Communicating Online Risk - Industry Forum Panel: WF IoT 2016
SDRJ: Small to Large Scale Quantum Computational Systems - Kae Nemoto at INC 2019
Behavioral Signal Processing: Enabling human-centered behavioral informatics
Q&A with Dr. May Wang: IEEE Big Data Podcast, Episode 9
Technology for Health Summit 2017 - Panel III: The Human Touch – How technology enabled healthcare can change lives
Joel Rodrigues: Communications Technology Advances Life Sciences
How Facial Analysis Technology Can Help Children with Genetic Disorders - IEEE Region 4 Technical Presentation
A perspective shift from Fuzzy logic to Neutrosophic Logic - Swati Aggarwal
This keynote lecture presents a set of the latest advances in cognitive informatics (CI) that leads to the design and implementation of future generation computers known as the cognitive computers that are capable of thinking and feeling. The theory and philosophy behind the next generation computers and computing technologies are CI. The theoretical framework of CI may be classified as an entire set of cognitive functions and processes of the brain and an enriched set of descriptive mathematics, the cognitive computers are created for cognitive and perceptible concept/knowledge processing based on contemporary mathematics such as concept algebra, real-time process algebra, and system algebra. Because the cognitive computers implement the fundamental cognitive processes of the natural intelligence such as the learning, thinking, formal inference, and perception processes, they are novel information processing systems that think and feel. The cognitive computers are centered by the parallel inference engine and perception engine that implement autonomic learning/reasoning and perception mechanisms based on descriptive mathematics
Summary form only given. A fundamental challenge for almost all scientific disciplines is to explain how natural intelligence is generated by physiological organs and what the logical model of the brain is beyond its neural architectures. According to cognitive informatics and abstract intelligence, the exploration of the brain is a complicated recursive problem where contemporary denotational mathematics is needed to efficiently deal with it. Cognitive psychology and medical science are used to explain that the brain works in a certain way based on empirical observations of corresponding activities in usually overlapped brain areas. However, the lack of precise models and rigorous causality in brain studies has dissatisfied the formal expectations of researchers in computational science and mathematics, because a computer, the logical counterpart of the brain, might not be explained in such a vigor and empirical approach without the support of a formal model and a rigorous means. In order to formally explain the architectures and functions of the brain, as well as their intricate relations and interactions, systematic models of the brain are sought for revealing the principles and mechanisms of the brain at the neural, physiological, cognitive, and logical (abstract) levels. Cognitive and brain informatics investigate into the brain via not only inductive syntheses through these four cognitive levels from the bottom up in order to form theories based on empirical observations, but also deductive analyses from the top down in order to explain various functional and behavioral instances according to the abstract intelligence theory. This keynote lecture presents systematic models of the brain from the facets of cognitive informatics, abstract intelligence, brain Informatics, neuroinformatics and cognitive psychology. A logical model of the brain is introduced that maps the cognitive functions of the brain onto its neural and physiological architectures. This work leads to a coherent abstract intelligence theory based on both denotational mathematical models and cognitive psychology observations, which rigorously explains the underpinning principles and mechanisms of the brain. On the basis of the abstract intelligence theories and the logical models of the brain, a comprehensive set of cognitive behaviors as identified in the Layered Reference Model of the Brain (LRMB) such as perception, inference and learning can be rigorously explained and simulated.The logical model of the brain and the abstract intelligence theory of the natural intelligence will enable the development of cognitive computers that perceive, think and learn. The functional and theoretical difference between cognitive computers and classic computers are that the latter are data processors based on Boolean algebra and its logical counterparts; while the former are knowledge processors based on contemporary denotational mathematics. A wide range of applications of the cognitive computers have been developing in ICIC and my laboratory such as , inter alia, cognitive robots, cognitive learning engines, cognitive Internet, cognitive agents, cognitive search engines, cognitive translators, cognitive control systems, and cognitive automobiles.
The content of artificial intelligence was to explain its specific concepts and provide examples it uses. Artificial intelligence aims at imitating human behaviour or creative human activity. Theory of artificial intelligence sets its goals. It is related to various scientific disciplines which complement it and in which it searches for possible solutions. Artificial intelligence is constantly discussed by scientists, philosophers as well as laics. They are all interested in two questions - what would happen without it and what it will bring along. The aim of artificial intelligence is to get to know, understand and fully grasp certain processes. These processes are considered manifestations of human intelligence.
This paper provides an overview of recent developments in big data in the context of biomedical and health informatics. It outlines the key characteristics of big data and how medical and health informatics, translational bioinformatics, sensor informatics, and imaging informatics will benefit from an integrated approach of piecing together different aspects of personalized information from a diverse range of data sources, both structured and unstructured, covering genomics, proteomics, metabolomics, as well as imaging, clinical diagnosis, and long-term continuous physiological sensing of an individual. It is expected that recent advances in big data will expand our knowledge for testing new hypotheses about disease management from diagnosis to prevention to personalized treatment. The rise of big data, however, also raises challenges in terms of privacy, security, data ownership, data stewardship, and governance. This paper discusses some of the existing activities and future opportunities related to big data for health, outlining some of the key underlying issues that need to be tackled.
In recent years, the introduction of data analytics to large amounts of healthcare data collected on daily basis opened numerous new opportunities and challenges in the field of medical informatics. By definition, healthcare informatics refers to the process of leveraging information technologies to improve the quality of healthcare. Many researchers are focusing on basic and translational research to achieve this goal by proposing novel or applying and adapting the state-of-the-art data analytics techniques to vast amounts of recently collected data. Recent adoption of Electronic Health Records (EHR) opens additional opportunities for data analytics, as we are able to access structured and unstructured data that is systematically collected for each event in the healthcare system or even contributed by the patients themselves. This tutorial covers different data analytics techniques and their translational value in improving the quality of healthcare. In the introductory part of the tutorial, we will outline the basics of data analytics in healthcare and continue with description of data representation that is specific to this field. The second part of the tutorial will present concrete state-of-the-art approaches that can be applied in healthcare informatics. Participants will gain a better understanding of risk estimation and stratification, patient similarity, privacy-preserving predictive modelling and patient-based classification. All methods presented in the tutorial have great translational value and can be implemented as a stand- alone solution or a part of health information systems. The intended audience of this tutorial are healthcare professionals and researchers from all fields of healthcare informatics. No specific knowledge will be required since the tutorial is self-contained and most fundamental concepts will be introduced during the presentation.
Most curricula in Informatics and other sciences at the universities are in permanent change. An informatics foresight is useful to update the study programs and to develop and offer new study curricula tuned for the local needs. More of these types of studies are developed by governmental departments and specialized groups because of the number of variables to analyse, the complexity of scenarios, and the wide number of experts needed, not to mention the cost and the governmental plans and goals a country has. In this paper we have adapted a simple method to define an informatics foresight using the information already available in internet and specialized electronic libraries. The method was applied to a study case: the future of the informatics and computer science majors at Escuela Politécnica Nacional of Quito Ecuador.
The Health Informatics e-Learning Object Repository (HiLOR) project aims at designing an e-learning platform to support health informatics education. HiLOR provides a platform for collecting, indexing and retrieving learning objects related to health informatics. This paper presents the design, implementation and usability evaluation of the proposed system. The result of the study revealed that elearning object repositories has the potential to improve health informatics education if these systems are flexible, easy to use and designed to support personalization.
Informatics laws have general, universal character, operate in all possible universes with different physical laws. Informatics laws precede physical laws. It is shown, that physical laws and properties of the nature are consequence of informatics laws. Informatics laws together with Physical laws will allow to open all secrets of nature, in particular, to construct the theory of quantum gravitation.
As cybercrimes and their data volumes proliferate, business professionals and public servants urgently need new knowledge and skills to address the growing threats. However, curricular materials, pedagogical research, and courses to address the data deluge in cybersecurity are not widely available. This research developed a contextual active learning approach to creating curricular modules for use in online informatics education. The approach emphasizes active and contextual learning in module design and deployment. Student participation, problem-based thinking, case study, and interactive question-answering and discussion are used. We implemented the approach in a new online course titled “Cybersecurity Informatics,” a cross-disciplinary subject that connects advanced information technologies, systems, algorithms, and databases with cybersecurity-related applications. Results from an expert evaluation indicate strongly positive comments and significant innovation on active learning. The research demonstrates a strong potential for using the approach to developing new cybersecurity informatics modules.
Contemporary perspectives and trends of information society development in Russia assume the implementation in a way of people's life fundamentally new technologies. As you can see, a crucial issue is the availability of development software complex as a necessary part in the progressing information projects. Therefore, it is important to study the object-oriented programming languages with the adaptation of programmes for mobile devices as an essential part in the system of General education of computer science.
Within the context of the ISO/IEEE 11073 family of standards for device communication, this standard establishes a normative definition of the communication between personal cardiovascular fitness and activity monitoring devices and managers (e.g. cell phones, personal computers, personal health appliances, set top boxes) in a manner that enables plug-and-play interoperability. It leverages appropriate portions of existing standards including ISO/IEEE 11073 ...
Assistant Professor (without Tenure Track) in Machine Learning (W1)
Karlsruhe Institute of Technology (KIT)
Computer Vision Scientist
Memorial Sloan Kettering Cancer Center
MMIS Subject Matter Expert Research Associate - ICL
Georgia Tech Research Institute (GTRI)
HPC and Data Analytics Student Researcher Fall 2019 - ICL
Georgia Tech Research Institute (GTRI)
Development Security Operations (DevSecOps) Engineer - ICL
Georgia Tech Research Institute (GTRI)
Technical Writer – Medicaid / MMIS / Healthcare - ICL
Georgia Tech Research Institute (GTRI)
Enterprise Architect-Systems Engineer - ICL
Georgia Tech Research Institute (GTRI)
Experimentation Methodology Lead, Siri Data Organization
Director - Siri Assistant Analytics