Big Data, Data Structures and Data Applications

Yedidi is one of the few cleared National Eligibility Test (NET) joint entrance test conducted by Counsel of Scientific and Industrial Research (CSIR) and University Grants Commission (UGC) for admission into Ph.D. and eligibility for Lectureship across India. Yedidi Narasimha Murty obtained Ph.D. in Applied Mathematics from Andhra University, India in 1998 with Computational Fluid Dynamics as specialization. Yedidi continued his research work at Andhra University with CSIR fellowship till March-2000. Yedidi worked as Research Associate with CSIR fellowship at Indian Institute of Technology (IIT) Madras. Since December-2005, Yedidi is Architecting Data warehousing solutions for clients like – Optus-Australia, Ford, Travelers,BestBuy, GE Commercial Finance, PayPal, Bank of the West. Yedidi is currently working with Electronic Arts as BI Solutions Architect. During this tenure, he designed and modeled several solutions on Risk, Payment Transaction processing that is useful for the data driven business enablement.

Big data, Data Mining

Yedidi is one of the few cleared National Eligibility Test (NET) joint entrance test conducted by Counsel of Scientific and Industrial Research (CSIR) and University Grants Commission (UGC) for admission into Ph.D. and eligibility for Lectureship across India. Yedidi Narasimha Murty obtained Ph.D. in Applied Mathematics from Andhra University, India in 1998 with Computational Fluid Dynamics as specialization. Yedidi continued his research work at Andhra University with CSIR fellowship till March-2000. Yedidi worked as Research Associate with CSIR fellowship at Indian Institute of Technology (IIT) Madras. Since December-2005, Yedidi is Architecting Data warehousing solutions for clients like – Optus-Australia, Ford, Travelers,BestBuy, GE Commercial Finance, PayPal, Bank of the West. Yedidi is currently working with Electronic Arts as BI Solutions Architect. During this tenure, he designed and modeled several solutions on Risk, Payment Transaction processing that is useful for the data driven business enablement

Big data, Data Mining

Prof (Dr.) N.V. Subba Reddy is currently working as professor, in the Department of Computer Science and Engineering, at Manipal Institute of Technology, Manipal University, Manipal. Prof (Dr.) N.V. Subba Reddy was the Vice Chancellor, Mody University (Deemed University), Rajasthan with effect from 10 May 2010 to 19 March 2014. He was the Director, Sikkim Manipal Institute of Technology with effect from 08 May 2009 to 07 May 2010. He was also working as Associate Director, R & D, at MIT, Manipal from October 2007 to May 2009. Prof (Dr.) N.V. Subba Reddy was working as professor and Head of the Department, in the Department of Computer Science and Engineering, at Manipal Institute of Technology, Manipal University, Manipal from September 2001 to September 2007. His intellectual pursuits are high end expertise and knowledge in the domain of Computer Science & Engineering, modeling, designing and implementation of Intelligent Computing Systems using soft computing Models, Machine Learning, Pattern Recognition and Image Processing, Computer Vision, Data Mining, and Computer Cognition, Artificial Intelligence, Document Image Processing, Neural Networks, Fuzzy Systems, Genetic Algorithms, Face Recognition, Character Recognition, Cursive Script Recognition, Image Processing, Software Engineering, Object Oriented Systems. He has successfully guided Ten PhD scholars, in the branch of Computer Science and Engineering, in the area of Machine Learning, Data mining, Pattern Recognition, and Document Image Processing for the development of intelligent Systems for real world applications. He is also the Adjudicator of Ph.D thesis and is presently guiding four Ph.D scholars. He has also successfully supervised MSc (Engg) by Research Scholars,I computer Science and Engineering area, the degree is well recognized in the research and development centers of Industries. Also Supervised Dissertation work of M Tech Computer Science and Engineering, and B Tech Computer Science and Engineering.

designing and implementation of Intelligent Computing Systems using soft computing Models, Machine Learning, Pattern Recognition and Image Processing, Computer Vision, Data Mining, and Computer Cognition, Artificial Intelligence, Document Image Processing, Neural Networks, Fuzzy Systems, Genetic Algorithms, Face Recognition, Character Recognition, Cursive Script Recognition, Image Processing, Software Engineering, Object Oriented Systems

Dr. Mary Mehrnoosh Eshaghian-Wilner has over 26 years of research experience in various areas within the field of Computer Engineering. Additionally, she has worked in the area of patent law for several years. She has published numerous scientific papers, including two books, and has handled the prosecution and infringement analysis of many complex U.S. and international patents. Dr. Eshaghian-Wilner currently is a Professor of Engineering Practice at the Electrical Engineering-Systems Department at the University of Southern California (USC), and since 2004 has been an Adjunct Professor of Electrical Engineering at the University of California, Los Angeles (UCLA). Prior to joining UCLA, she was a tenured full Professor and Department Head at the Computer Engineering Department of Rochester Institute of Technology

Computing Architectures and Interconnects: Bio-inspired and Nanoscale Computing, MEMS, Optical Interconnects, VLSI and Reconfigurable chips Computing Networks and Algorithms: Heterogeneous/Cluster/Grid/Cloud Computing, Mapping and Scheduling paradigms/algorithms/tools Biomedical Applications: Nanomedicine, Bioinformatics, Sequence Alignment, Image-Processing, Computer Vision Technology Law: Technology Transfer, Intellectual Property, Patent Reform, Digital Rights, Cyber Law/Crimes, Internet Privacy