Background
Bhagat, Phiroz Maneck was born on October 28, 1948. Came to the United States, 1970. Son of Maneck Phirozshaw and Khorshed Eduljee (Batliwala) Bhagat.
( • "Find it hard to extract and utilise valuable knowled...)
• "Find it hard to extract and utilise valuable knowledge from the ever-increasing data deluge?" If so, this book will help, as it explores pattern recognition technology and its concomitant role in extracting useful information to build technical and business models to gain competitive industrial advantage. • *Based on first-hand experience in the practice of pattern recognition technology and its development and deployment for profitable application in Industry. • Phiroz Bhagat is often referred to as the pioneer of neural net and pattern recognition technology, and is uniquely qualified to write this book. He brings more than two decades of experience in the "real-world" application of cutting-edge technology for competitive advantage in industry. Two wave fronts are upon us today: we are being bombarded by an enormous amount of data, and we are confronted by continually increasing technical and business advances. Ideally, the endless stream of data should be one of our major assets. However, this potential asset often tends to overwhelm rather than enrich. Competitive advantage depends on our ability to extract and utilize nuggets of valuable knowledge and insight from this data deluge. The challenges that need to be overcome include the under-utilization of available data due to competing priorities, and the separate and somewhat disparate existing data systems that have difficulty interacting with each other. Conventional approaches to formulating models are becoming progressively more expensive in time and effort. To impart a competitive edge, engineering science in the 21st century needs to augment traditional modelling processes by auto-classifying and self-organizing data; developing models directly from operating experience, and then optimizing the results to provide effective strategies and operating decisions. This approach has wide applicability; in areas ranging from manufacturing processes, product performance and scientific research, to financial and business fields. This monograph explores pattern recognition technology, and its concomitant role in extracting useful knowledge to build technical and business models directly from data, and in optimizing the results derived from these models within the context of delivering competitive industrial advantage. It is not intended to serve as a comprehensive reference source on the subject. Rather, it is based on first-hand experience in the practice of this technology: its development and deployment for profitable application in industry. The technical topics covered in the monograph will focus on the triad of technological areas that constitute the contemporary workhorses of successful industrial application of pattern recognition. These are: systems for self-organising data; data-driven modelling; and genetic algorithms as robust optimizers. • "Find it hard to extract and utilise valuable knowledge from the ever-increasing data deluge?" If so, this book will help, as it explores pattern recognition technology and its concomitant role in extracting useful information to build technical and business models to gain competitive industrial advantage. • Based on first-hand experience in the practice of pattern recognition technology and its development and deployment for profitable application in Industry. • Phiroz Bhagat is often referred to as the pioneer of neural net and pattern recognition technology, and is uniquely qualified to write this book. He brings more than two decades of experience in the "real-world" application of cutting-edge technology for competitive advantage in industry.
http://www.amazon.com/gp/product/0080445381/?tag=2022091-20
Bhagat, Phiroz Maneck was born on October 28, 1948. Came to the United States, 1970. Son of Maneck Phirozshaw and Khorshed Eduljee (Batliwala) Bhagat.
Bachelor of Technology, Indian Institute Technology-Bombay, 1970. Master of Science in Engineering, University Michigan, 1971, Doctor of Philosophy, 1975. Research fellow in applied mechanics Harvard University, Cambridge, Massachusetts, 1975-1977.
Assistant professor engineering Columbia University, New York City, 1977-1981, adjunct assistant professor, 1981-1984.
Staff engineer Exxon Research & Engineering Company, Florham Park, New Jersey, 1981-1983, senior staff engineer, 1983, head science computing group, 1988-1990. Managing director Janus Enterprise International, 1992-1994.
Research fellow in applied mechanics Harvard University, Cambridge, Massachusetts, 1975-1977. Assistant professor engineering Columbia University, New York City, 1977-1981. Staff engineer Exxon Mobil Research & Engineering Company, Florham Park, New Jersey, 1981-1983, senior staff engineer, 1983-2001.
Senior engineering associate Exxon Mobil Research and Engineering Company, Annandale, New Jersey, 2001—2003. Founder, principal Strategy Engines, LLC, Westfield, since 2004. Adjunct assistan professor Columbia University, New York City, 1981-1984.
Head science computing group Exxon/Mobil Research & Engineering Company, Florham Park, 1988-1990. Managing director Janus Enterprise International, 1992-1994.
( • "Find it hard to extract and utilise valuable knowled...)
Member American Institute of Chemical Engineers, American Society of Mechanical Engineers, New York Academy Sciences, Tau Beta Pi, Sigma Xi. Research development of Neural Nets in technical and business applications, pattern recognition and forecasting for business strategies, on application of thermal sciences to model for technicaland business strategies petrochemical processes, science computing, heat transfer, fluid mechanics, thermodynamics, computer modeling, business global computer simulation.
Married Patricia Jane Steckler, October 13, 1979. Children: Kay, Sarah.