Arindam Chaudhuri has 22+ years of experience in academics, research and industry in business applications of artificial intelligence and machine learning. He has worked as post-doctoral fellow with Department of Computer Science, University of Copenhagen and Department of Computer Science, Technical University of Berlin. He has worked as researcher with Siemens Research Labs Amsterdam and Samsung Research Labs at New Delhi and Bangalore. His current research interests include business analytics, artificial intelligence, machine learning, deep learning. He has published 4 research monographs and 60+ articles in international journals and conference proceedings. His papers till date got cited 1000+ times in Google Scholar (with h-index 22 and i10 index 26). He has served as reviewer for several international journals and conferences. He has used machine learning methods such as artificial neural networks, support vector machines, deep learning networks, clustering, genetic algorithms and evolutionary computing with basic mathematical foundations of probability theory, fuzzy sets, rough sets, possibility theory and a variation of these for solution of various business problems. He has also integrated various artificial intelligence methods to form different soft computing frameworks such as neuro-fuzzy, fuzzy-genetic, neuro-genetic and rough-neuro-fuzzy-genetic. He has successfully applied these methods for different categories of industrial problems such as decision theory, time series forecasting and prediction, image compression, sentiment analysis, recommendation systems and social networks analytics