Siemens Executive Receives Prestigious Computer Science Award
Malvern, Pa., September 2, 2011 - Today, Siemens Healthcare announced that Bharat Rao, PhD, Senior Director, and Head of the Knowledge Solutions Group, Health Services Business Unit, received the 2011 Service Award, which is the highest honor conferred by the Association for Computing Machinery - Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD). Dr. Rao was recognized for his contributions to the ACM SIGKDD and for contributions to society at large for his pioneering applications of data mining. At Siemens, Dr. Rao leads the development of products that offer innovative approaches to data mining in areas such as decision support, computer-aided detection, and quality measurement and reporting. "Working closely with Bharat has given me an appreciation for the passion, insight and determination that is required to continually innovate and develop solutions that can increase the business and clinical analytics available to hospitals," said John Glaser, PhD, CEO, Siemens Healthcare, Health Services Business Unit. "Siemens remains strongly committed to evolving the analytical capabilities we provide to our hospital customers; so it is rewarding to see the years of dedication that go into these products recognized broadly by an association like ACM SIGKDD." It is becoming necessary for hospital administrators and clinical leaders to be able to mine aggregated data in order to adhere to quality measure reporting required by agencies such as the Centers for Medicare and Medicaid Services and the Joint Commission. Soarian® Quality Measures (SQM), which was developed by Dr. Rao and colleagues, is a data analysis tool designed specifically to extract both structured and unstructured data from the electronic patient record. This supplements manual chart reviews with automated chart abstraction, as well as combines advanced natural language and data mining-based methods to deliver highly accurate reports for submission.Computer Science Natural Computing - News
This supplements manual chart reviews with automated chart abstraction, as well as combines advanced natural language and data mining-based methods to deliver highly accurate reports for submission. Hospital administration can use a tool like SQM to
But for readers of Proceedings of the IEEE, the most highly-cited general-interest journal in electrical engineering and computer science, approaching its 100th year of publication in 2012, Guglielmo Marconi was an esteemed author of significant papers
He received his doctorate from the Massachusetts Institute of Technology in 2005 in Machine Listening and a masters degree in Computer Science from Columbia University's Natural Language Processing Group. His research links community knowledge of music
Burns, an associate professor in the Department of Computer Science in the Whiting School of Engineering at Johns Hopkins, directs the Hopkins Storage Systems Lab. Hasan, an assistant professor at the Department of Computer and Information Sciences at
As for computer science, the financial field relies heavily on computation, thus making the relationship a natural fit. Additionally, Lo is hoping to pave the way for further collaboration between CSAIL and Sloan, as he strongly believes they could be
Natural computation:A Philosophy | ISAMM
Natural Computation-A Philosophy.
Oluwayomi.O.Oluwadara,
School of Technology,
St Patrick’s College,
W1F 8FS,London
1st June 2010.
Abstract: This piece clearly highlights the philosophy behind the field of natural Computation. It goes further to evaluate some fundamental computational architectures that are nature inspired
Background
The present day computing has supplied solutions to almost every single task man can believe of except for the “tomorrow world”-the stage of ubiquitousness. Sequel upon this, the challenge of the future is to harness all it takes to make natural computing work for us. Proponents of natural computing has discovered that the present day Alan Turin-Von Neumann architecture (classical model) enclosed in its silicon casing alone can not take us to the envisioned “tomorrow world”. As a result of this, attention was shifted from this architecture to that of natural computing. It should be stressed that this current classical model has tried reaching this “tomorrow world” with the existing trend . Products of their effort have resulted in Neural Networks (Simulating the functionality of the brain), Evolutionary Computing (Emulating the nature), Quantum Computing (has to do with the universe) and DNA computing. These asides, researches are still on going on how the present classical model could be abandoned in order to achieve al the objectives of natural computing.
In essence, laptop or computer scientists are attempting to accomplish the “tomorrow world” employing the current classical model in diverse areas, even though there are on going efforts to abandon this classical model for some other ones in order to attain the objective of ubiquitousness.
Why Natural Computing .
Only natural computing appear to proffer a lasting solution to the human desire for the overwhelming desire to attain a ideal digitalized world which I will seldomly refer to as tomorrow world. According to De Castro (2006), natural computing is the terminology introduced to encompass these three kinds of approaches, named, respectively: 1) computing inspired by nature: 2) the simulation and emulation of natural phenomena in computers: and 3) computing with natural supplies.
Computer Science Natural Computing - Bookshelf
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