Ajay Dhamija is a senior scientist working in Defense R&D Organization, Delhi. He has more than 24 years' experience as a researcher and instructor. He holds an MTech (computer science and engineering) degree from IIT, Delhi, and an MBA (finance and strategy) degree from FMS, Delhi. He has more than 14 research works of international repute in varied fields to his credit, including data mining, reverse engineering, analytics, neural network simulation, TRIZ, and so on. He was instrumental in developing a state-of-the-art Computer-Aided Pilot Selection System (CPSS) containing various cognitive and psychomotor tests to comprehensively assess the flying aptitude of the aspiring pilots of the Indian Air Force. He has been honored with the Agni Award for excellence in self reliance, 2005, by the Government of India. He specializes in predictive analytics, information security, big data analytics, machine learning, Bayesian social networks, financial modeling, Neuro-Fuzzy simulation and data analysis, and data mining using R. He is presently involved with his doctoral work on Financial Modeling of Carbon Finance data from IIT, Delhi. He has written an international best seller, Forecasting Exchange Rate: Use of Neural Networks in Quantitative Finance (http://www.amazon.com/Forecasting-Exchange-rate-Networks-Quantitative/dp/3639161807), and is currently authoring another book on R named Multivariate Analysis using R.

Apart from analytics, Ajay is actively involved in information security research. He has associated himself with various international and national researchers in government as well as the corporate sector to pursue his research on ways to amalgamate two important and contemporary fields of data handling, that is, predictive analytics and information security.

You can connect with Ajay at the following:

LinkedIn: ajaykumardhamija

ResearchGate: Ajay_Dhamija2

Academia: ajaydhamija

Facebook: akdhamija

Twitter: akdhamija

Quora: Ajay-Dhamija

While associating with researchers from Predictive Analytics and Information Security Institute of India (PRAISIA @ www.praisia.com) in his research endeavors, he has worked on refining methods of big data analytics for security data analysis (log assessment, incident analysis, threat prediction, and so on) and vulnerability management automation.

Prasad Kothari is an analytics thought leader. He has worked extensively with organizations such as Merck, Sanofi Aventis, Freddie Mac, Fractal Analytics, and the National Institute of Health on various analytics and big data projects. He has published various research papers in the American Journal of Drug and Alcohol Abuse and American public health. His leadership and analytics skills have been pivotal in setting up analytics practices for various organizations and helping grow them across the globe.

Dawit Gezahegn Tadesse is currently a visiting assistant professor in the Department of Mathematical Sciences at the University of Cincinnati, Cincinnati, Ohio, USA. He obtained his MS in mathematics and PhD in statistics from Auburn University, Auburn, AL, USA in 2010 and 2014, respectively. His research interests include high-dimensional classification, text mining, nonparametric statistics, and multivariate data analysis.