OMICS Group is organizing 4th International Conference and Exhibition on Biometrics & Biostatistics during Nov 16-18, San Antonio, USA. This conference will provide a new forum for broad areas defining security policies and user behavior as well as social influence of biometrics security also it will emphasize on the recent advances and researches in the field of biostatistics and the statistical methodology and clinical research. OMICS International Organizes 300+ Conferences, 500+ Workshops and 200+ Symposiums Every Year on Pharma, Medicine, Science and Technology across USA, Europe & Asia with support from 1000 more scientific societies and Publishes 400+ Open access journals which contains over 30000 eminent personalities, reputed scientists as editorial board members.
The overall biometric market is increasing with a CAGR of 17.6% from 2014 to 2020. The major applications for the biometric market are travel and immigration and government. Fingerprint biometric is the major shareholder in the biometric market and voice has the highest growth potential, followed by iris recognition; the market is currently valued at approximately $5 billion; fingerprint identification technology may see the biggest gains growing upto $6 billion in 2015; the market for face, iris, vein, and voice recognition is expected to expand upto $3.5 billion; large government ID and security programs are key drivers in fueling growth. Reports project that the global biometrics market is expected to grow upto $12 billion in 2015 from its current estimated value of $5 billion. As per the top reports, estimated annual growth rate is upto 18.9 percent.
Biostatistics-2015 is comprised of 11 tracks and 57 sessions designed to offer comprehensive sessions that address current issues in Biostatistics.
Clinical Biostatistics: It comprises of statistical methods that are used to manage uncertainties in the field of medicine and health. It includes biostatistics in clinical research and clinical trials, biostatistics research and methodology, clinical decision making, statistical methods in diagnostic medicine, statistical and computing methods.
Statistical and Computing Methods: It comprises of methods which are used in Biostatistics and in the computing. It includes topics such as robust methods in biostatistics, longitudinal studies, analysis with incomplete data, meta-analysis, Monte-Carlo methods, quantitative problems in health-risk analysis, statistical methodologies in genetic studies, ecological statistics and biostatistical methods in epidemiology.
Bayesian statistics: It is a subset of the field of statistics in which the evidence about the true state of the world is expressed in terms of degrees of belief or, more specifically, Bayesian probabilities. It comprises of varies approaches such as Bayesian inference, stochastic structural optimization and Bayesian statistics, semi-parametric Bayesian analysis, Bayesian multiple change point analysis, infrared spectroscopy with Bayesian statistics and Bayesian dynamic models.
Regression Analysis: In statistics, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. This track consist of various sub topics such as linear and non-linear analysis, analysis of variance and regression, statistical methods for categorical data analysis, multiple regression with categorical data and biostatistical analysis softwares.
Bioinformatics: It is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to study and process biological data. This track comprises of various types of bioinformatics used in the field of Biostatistics such as translational bioinformatics and structural bioinformatics along with the applications of bioinformatics. It also includes computational intelligence techniques as well as applications of ranking models and methods to biometrics and biostatistics.
Computer Science and Systems Biology: Systems biology is the study of systems of biological components, which may be molecules, cells, organisms or entire species. Living systems are dynamic and complex and their behavior may be hard to predict from the properties of individual parts. Nowadays computer science plays a very important role in studying the system biology. This track includes various topics such as biostatistics in systems biology, machine learning and artificial intelligence, data analysis: missing and multiway.
Modern data analysis: It includes the various modern methods used in the biostatistical data analysis. Various topics which are being included are data sets, hierarchical models, causal inference, nonparametric along with the statistical genetics, mantel–haenszel test and the biometric implications of these data analysis methods.
Biometric security: It includes various biometric devices and algorithms which are used to implement security in today’s world of technology. Biometrics security includes various topics such as Personal identity verification, Human activity recognition, Legal compatibility for biometric systems, Crime prevention, Biometric devices and algorithms, Behavioral intelligence, biometric solutions, biometric security authentication and multi touch displays in biometrics.
Adaptive biometrics systems: It gives insights into how to overcome data security obstacles presented by traditional means and the emergence of new biometric trends, advancements, drivers, and opportunities that will shape the biometrics industry of the future. This track comprises of integrated biometric identification and surveillance systems, principal component analysis and multilayer perception, human system interaction, centralized biometric database, intelligent pupil analysis system, palm print identification, biometric data delivery, laser imaging and biometrics, emerging and future applications of biometrics.
Emerging and future applications of biometrics: It includes various future uses of the biometrics which could be animal biometrics and its applications in pre-clinical research, biometrics of gestures, biometric performance grading scheme, automatic face analysis and software testing and cloud computing, manufacturers and business opportunities.
Cyber security: It is also known as computer security or IT security, is security applied to computing devices such as computers and smartphones, as well as computer networks such as private and public networks, including the whole Internet. It includes counter measures to combat cyber terrorism along with the cyber security for critical infrastructures and high performance computing as well as security/privacy technologies.