22 years of Work-Ex in Academics, Research & Industry in Business Applications of Artificial Intelligence & Machine Learning

Worked as post doctoral fellow with Department of Computer Science, University of Copenhagen and Department of Computer Science, Technical University of Berlin.

Worked as researcher with Siemens Research Labs Amsterdam and Samsung Research Labs at New Delhi & 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.

He has served as reviewer for several international journals and conferences.

ML Expertise (Teaching ML Statistics for Computational Finance)

Implemented Machine Learning Methods - Support Vector Machines, Artificial Neural Networks, 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.

Integrated various artificial intelligence methods to form different soft computing frameworks such as neuro-fuzzy, fuzzy-genetic, neuro-genetic and rough-neuro-fuzzy-genetic.

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, social networks analytics in order to achieve better results