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Helping Teachers to Teach and Students to Learn
Helping Teachers to Teach and Students to Learn
K. MURALIDHARAN, Ph.D., is Professor and Head, Department of Statistics, The Maharaja Sayajirao University of Baroda, Vadodara. He is also the Director of Populations Research Centre at the same university. He served with the Department of Statistics at Bhavnagar University. He has about twenty years of teaching and research experience.
He obtained his doctorate in Statistics from Sardar Patel University and completed Post-Doctoral Fellowship from the Institute of Statistical Science at Academia Sinica, Taiwan. He is an internationally qualified Six Sigma Master Black Belt from Indian Statistical Institute, Bangalore. He has over eighty publications in national and international journals.
Professor Muralidharan is the Coordinating Editor of the Journal of Probability and Statistical Science and Associate Editor of the Journal of Indian Society for Probability and Statistics and the GSTF Journal of Mathematics, Statistics and Operations Research.
His research interests are in the field of statistical inference, applied stochastic point processes, reliability and life testing, industrial statistics, quality and six sigma.
A. SYAMSUNDAR, Ph.D., is Deputy General Manager (Research and Development) at Visakhapatnam Steel Plant, Visakhapatnam. He has more than twenty-six years of experience in the steel industry in various capacities in operations and maintenance, and as a technical advisor to higher management. He is engaged in several research projects of the steel works.
Dr. Syamsundar obtained his doctorate in Reliability Engineering from Indian Institute of Technology Kharagpur. He has to his credit fifteen publications in international journals and conferences. He is a member of several professional bodies.
His areas of expertise include reliability/survival data analysis, repairable system and recurrence data analysis with and without covariates, system reliability analysis, failure detection and analysis, SPC (process capability, control charts), multivariate regression analysis and ANOVA, design of experiments, computerized maintenance management system, maintenance planning, spares planning and inventory control, maintenance outsourcing, mechanical maintenance of industrial equipment of steel works.
