Data Mining & Analysis

Omar M Knio completed his PhD from MIT in 1990. He held a Post-doctoral position at MIT, before joining the Mechanical Engineering Faculty at Johns Hopkins University in 1991. In 2011, he joined Mechanical Engineering and Materials Science Department at Duke University. In 2013, he joined AMCS Program at KAUST, where he served as Deputy Director of the SRI Center for Uncertainty Quantification in Computational Science and Engineering. He has co-authored over 100 journal papers and two books.

uncertainty quantification, Bayesian inference, computational fluid mechanics, combustion, oceanic and atmospheric flows, turbulent flow, physical acoustics, energetic materials, microfluidic devices, dynamical systems, asymptotic techniques, multi-resolution methods, high-performance computing, optimization under uncertainty, and data-enabled predictive science.

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. Huiru (Jane) Zheng is a Professor of Computer Science with School of Computing and Mathematics, a full member of Computer Science Research Institute and a Fellow of the UK Higher Education Academy. She was awarded a PhD in Bioinformatics in 2003 and a Postgraduate Certificate in Teaching in Higher Education in 2005 from Ulster University.Prof. Zheng is an active researcher in bioinformatics and healthcare informatics. Prof. Zheng is an IEEE member. She serves on the editorial board of several international journals and serves as co-chairs and program committees of a number of international conferences.

data mining, data integration, machine learning and healthcare decision support

Siva Prasad Patnayakuni is currently working as Senior Data Engineer in HEB. His current research focus is on Distributed Data, Cloud Computing & Predictive Analytics and recommendations. He holds his Bachelors degree in Computer Sciences from Andhra University, India in 1996 and Masters in Computer Applications from Osmania University in 1999. He has been successfully designing and building large scale data warehousing, data pipelines, real-time analytics, reporting solutions for complex business problems. He created an intuitive architecture/frame works that helps organizations on effectively analyzing large scale of structured & unstructured data.

Data Mining, Predictive Analysis & Big Data

Mr. Sriram Bhagavathula has 25+ years Industry and Research expertise in Data and Decision Sciences, and provided Analytical Solutions for many Global Multinational companies like HSBC, Exelon Energy, Citi, Bank of America, RBC, HP, PayPal etc. He has published 8 research papers and is an editorial board member for two of the leading journals in Data and Decision Sciences modeling domain

Big Data, Data Mining & Predictive Analytics

Dileep Musa Senior Technology Architect, Data & Analytics, Infosys, USA. He has over 20 years of experience in Enterprise Data and Information Management

Big Data, Data Mining & Predictive Analysis