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Talari Ganesh
Affiliation
Department of Mathematics and Scientific Computing, National Institute of Technology at Hamirpur, Hamirpur, India
Topic
Hybrid Algorithm,Amount Of Product,Bat Algorithm,Benchmark Datasets,Binary Optimization,Binary Search,Binary Space,Binary Version,Crossover Operator,Decision Variables,Demand Constraints,Description Of Algorithm,Destination Location,Expected Value,Extreme Learning Machine,Feature Selection Problem,Feature Subset,Global Optimal Solution,Global Solution,Grey Wolf Optimizer,Intrusion Detection System,K-nearest Neighbor,Knowledge Sharing,Learning Algorithms,Machine Learning Tasks,Model Problem,Objective Value,Optimal Feature,Optimal Feature Subset,Optimal Plan,Optimal Subset,Optimal Transport,Optimization Algorithm,Performance Of Algorithm,Premature Convergence,Probability Theory,Problem Parameters,Random Variables,Real-world Problems,Roulette Wheel Selection,Search Algorithm,Search Space,Solid Transport,Solid Transportation Problem,Supply And Demand,Support Vector Machine,Support Vector Machine Classifier,Total Transportation Cost,Transfer Function,Uncertain Environment,
Biography
Talari Ganesh received the M.Sc. and Ph.D. degrees in statistics from Sri Venkateswara University, Tirupati, Andhra Pradesh. He is currently an Assistant Professor with the Department of Mathematics and Scientific Computing, National Institute of Technology, Hamirpur, Himachal Pradesh. He had worked as an Assistant Professor with the Seshadripuram Institute of Management Studies, Bangalore, and also joined as a Guest Faculty at the Department of Statistics, Pondicherry University, Puducherry, from September 2014 to August 2015. He was a Lecturer at the Dr. Jyothirmayi Degree College, from 2009 to 2010. His main research interests are in the areas of multi-criterion decision aid, operations research, statistics and big data science. He has worked on stochastic modeling, time series analysis, and forecasting by applying to the gold mineralization and rainfall data using SPSS and R tool respectively. He also worked in analytical hierarchy process and goal programming in dealing with multi criterion decision aid. Also, he has published various papers in the field of distribution theory, convolution and mixture distribution. He is currently working on classification techniques, data mining and its applications to the wide varieties of high-volume data which comes under big data analytics and data science. His current research is focused on multi-choice stochastic transportation problem involving fuzzy programming and evolutionary algorithms. He has published more than 12 articles in reputed international and national journals and presented more than ten papers in various international and national conferences.