Top Big Data Experts
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Assistant Professor · VCU College of Engineering
Dr. Krawczyk's areas of research are machine learning, data stream mining, medical informatics, big data, and computer vision.
Machine learning: ensembles, imbalanced data, one-class classification, kernel methods. Data stream mining: concept drift, active learning, online classification and regression. Big data: mining massive datasets, efficient and scalable learning algorithms Medical informatics: clinical decision support, mining ubiquitous environments, activity recognition. Computer vision: deep learning, object detection, tensor methods, underwater image analysis.
Henry J. Leir Chair in Healthcare and Associate Professor · New Jersey Institute of Technology
Professor Chen focuses on cutting-edge database, data mining and machine learning techniques with applications in business and health care
Associate Dean of Undergraduate Programs and Enrolment Management, Faculty of Arts and Social Sciences · Simon Fraser University
Dr. Murray is a professor in Gender, Sexuality and Women's Studies and member of the Centre for Policy Studies on Culture and Communities.
Assistant Professor of Industrial Organizational Psychology · Farmingdale State College
Dr. Islam has served in management, consultant and research roles in a variety of organizations.
Assistant Professor of Decision and Information Technologies and 3M Faculty Fellow · Indiana University, Kelley School of Business
Fujie Jun is an expert in the areas of IT and firm productivity, social media, entrepreneurship, social networks and online labor markets.
Andrew Jackson Chair in American History; Professor of Law; Professor of Political Science; Professor of Sociology; Director, American Studies Program · Vanderbilt University
Expert in the history of American privacy, social security, big data, survey data and the public sphere.
Associate Professor of Law and William T. Golden Scholar · University of Connecticut
Prof. Brennan-Marquez is an expert on human judgment and the role of courts in the age of big data and algorithmic decision-making.
Clinical Associate Professor of Operations & Supply Chain Management · Indiana University Kelley School of Business
Peggy Daniels Lee is an expert in business management, logistics, and higher education administration.
Associate Chairperson, Director of Graduate Studies, and Associate Professor · Michigan State University
Human-Computer Interaction, User Experience, and Social Media researcher and consulting focusing on Digital Transformation and Healthcare.
Professor of Statistics, Department of Information, Risk, and Operations Management · The University of Texas at Austin, McCombs School of Business
Using Bayesian statistics to solve problems in finance, genetics and other complex fields