DEPARTMENT OF Information Technology



Dr. P S V Nataraj, Professor,

Indian Institute of Technology, Bombay


Mentor, Department of Information Technology,

Vishwakarma Institute of Technology, Pune

Brief Profile:

Dr. S. V. Nataraj has a Professor of Systems and Control Engg Group at IIT Bombay. He obtained a Ph.D. from IIT Madras in process dynamics and control in 1987. He then worked in the CAD center at IIT Bombay, India for about one and half years before joining the faculty of the Systems and Control Engineering Group at IIT Bombay in 1988. He has been involved in teaching and research for about 28 years at IIT Bombay. His current research interests are in the areas of Global Optimization, Parallel Computing, Reliable Computing, and Robust Control. He was invited as a Visiting Professor to Spain in 2005, and as a visiting Professor to France in 2010 and2015.

Prof. Nataraj received the award from NVIDIA, USA for a “CUDA Centre of Excellence” (now renamed as GPU Centre for Excellence, or GCOE) at IIT Bombay in 2013. This is the first award for a Centre of Excellence in GPU Computing in India. Earlier in 2012, he won the NVIDIA award for “Innovation with GPUs” for his work in Parallel Computing based Global Optimization. He is currently also the Chairman of the NVIDIA Academic Program Committee for India. Prof. Nataraj also received the Shared University Award (SUR) from IBM, USA in 2015 for research on global optimization and for creating the OpenPower Research Facility at IITB.

He has been nominated in 2014 as a member of the General Electric (GE) learning advisory board for Africa, and as an academic member of the APEX committee for Gas Turbine Technology Initiative (GATET) of DRDO, India. He is also on the national steering committee for DEITY’s indigenous MRI machine (IMRI)” from Feb 2015 under “Make in India” initiative. In 2016, Prof. Nataraj was nominated as an expert member of National Supercomputing Mission – HR group, and chairman of its curriculum sub-committee.

Prof. Nataraj has conducted many courses for various industries and organizations, such as nuclear power,space and defense research organizations. He worked on several projects for these organizations and other industries. He gave numerous invited talks in North and South America, Europe, and Africa in areas such as optimization, reliable computing, and control. Some of his papers received the best paper awards at various international conferences. Prof. Nataraj was the chairman or co-chairman of several international 2 conferences sponsored by IEEE and other societies. He also chaired and co-chaired several sessions in various international conferences in India and abroad.


For more info. Pl. see 

Prof.(Dr.)A.M.Kulkarni ,Prof.(Dr.)P.S.Dhabe ,Mentor -Prof.(Dr.)Nataraj,Head of  IT Department Prof.(Dr.)P.P.Ghadekar


Department of Computer Science

Birla Institute of Technology and Science, Pilani, Dubai Campus, Dubai, UAE


Brief Profile:

Dr. Pramod has vast teaching and post PhD experience in Machine Learning field. He is also expert in Non-stationary Signal Processing, Electroen-cephalography (EEG) / Magnetoencephalography (MEG) signal decomposition, Neuroscience, DataMining.

Summary of duties and research activities:

1. Operating an MEG system including system tuning, protocol design, setting up experiments and stimulations, and data acquisition.

2. System admin role for running a local network and ability to co-ordinate and schedule appointments with patients/subjects.

3. Design and develop stimulation paradigms and/or bio-signal processing algorithms and/or computational models in one of MATLAB, or neuroimage analysis tools for MEG scans.

4. Dr. Gaur has actively involved in subject preparation experimental paradigm design, and MEG

data acquisition followed by pre-processing of the recorded MEG data


Prakash SHELOKAR | PhD | European Centre for Soft Computing | Application  of Fuzzy and Evolutionary Algorithms

Dr. Prakash Shelokar

Director Technology (Data Science)

Xoriant, Pune


Brief Profile:

Total 17+ years of experience with 13 years of leading team and delivering AI/ML products.

Data Science and advanced analytics leader with extensive experience in building and managing high performance analytics team and cutting edge industry-first AI/ML driven products for Fortune 500 clients improving businesses performance and driving top-line growth. Hold a PhD in the application of meta-heuristics for AI/ML problems and a post-doctoral in social network data analysis.

Currently working as a Director of Data Science, Xoriant, leading and managing AI portfolio, research, and engineering capabilities for creating AI/ML frameworks to accelerate solution development cycles, leveraging solution repeatability and economics of scale to reach incremental customers and drive more revenue. Secured a patent (US20180316571A1) on data science and Big data methodology for analyzing mobile users behavior data.