Ronjon Nag | |
---|---|
Nationality | British-American |
Alma mater | University of Birmingham Massachusetts Institute of Technology Cambridge University |
Known for | Mobile Technology Components |
Awards | Mountbatten Medal (2014), IEEE SCV Outstanding Engineer (2021) |
Scientific career | |
Fields | Mobile Technology |
Institutions | Stanford University |
Ronjon Nag is a British-American inventor and entrepreneur specializing in the field of mobile technology. He co-founded the technology company Lexicus, acquired by Motorola in 1993 and Cellmania, acquired by Research in Motion in 2010. He later served as Vice-President of both Motorola and BlackBerry.
Ronjon Nag received his bachelor's degree in 1984 from the University of Birmingham, where he studied Electronic & Electrical Engineering. [1] He received a Master of Science degree from MIT in Management Science and studied neural networks in Stanford University's Department of Psychology. After completing a Doctorate in Engineering at Cambridge University, he studied as a Harkness Fellow in the United States at Massachusetts Institute of Technology and Stanford University. [2] In 2014 became a Fellow of the Institution of Engineering and Technology and in 2016, he become a fellow of the Stanford University Distinguished Careers Institute.
He divides his time between Cambridge in the United Kingdom and Silicon Valley in California. [3]
Nag's work has focused on inventing new systems for interacting with mobile devices, resulting in breakthroughs in the application of speech recognition, handwriting recognition, predictive text and touch screens for mobile devices. [4] [5] As a student at Cambridge University, Nag wrote an article applying a hidden Markov model to speech recognition, which became the basis for his Phd on the subject. [6] In 1991 Ronjon Nag began researching artificial neural networks, first under Amar Gupta at MIT and then in Stanford University's Department of Psychology, studying under David Rumelhart. [2] In 1992, Nag co-founded the technology company Lexicus in Palo Alto, California. [7] As CEO and as a computer scientist, Nag oversaw the emergence of Lexicus as an industry pioneer of speech and predictive technology systems [8] and saw the acquisition of Lexicus by Motorola in November 1993. [9] As a subsidiary of Motorola, Lexicus introduced some of the first devices with Chinese handwriting and speech recognition. [10] In 1999, he founded Cellmania, a mobile infrastructure company that provided digital rights management for mobile content, enabling the creation of some of the first mobile app stores. [11] Cellmania was sold to Research in Motion, now BlackBerry Limited, in 2010 for an undisclosed sum. [2]
Nag is President of the R42 Institute which develops and funds AI and Longevity projects. Nag is also Chairman of Bounce Imaging, which develops throwable cameras undertaking video stitching whilst being thrown, [12] winning the $1m Verizon Powerful Answers Prize in 2015.
In 2014 Nag was the recipient of the Mountbatten Medal awarded by the Institution of Engineering and Technology. The award cited Nag's influence on the creation of the modern mobile phone industry with the development of smartphone components such as text and speech recognition and digital distribution platforms, technologies that were later incorporated widely into early smartphones developed by Motorola and BlackBerry. [13] [14]
In 2021, Nag's contributions in engineering entrepreneurship, smartphone user interfaces, and mobile app stores were acknowledged by the IEEE Santa Clara Valley Section (SCV) with an Outstanding Engineer award.
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Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis.
Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo or from subtitle text superimposed on an image.
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Handwriting recognition (HWR), also known as handwritten text recognition (HTR), is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices. The image of the written text may be sensed "off line" from a piece of paper by optical scanning or intelligent word recognition. Alternatively, the movements of the pen tip may be sensed "on line", for example by a pen-based computer screen surface, a generally easier task as there are more clues available. A handwriting recognition system handles formatting, performs correct segmentation into characters, and finds the most possible words.
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Motorola A925 is a 3G smartphone from Motorola using Symbian OS. Among the most notable features is its built-in A-GPS. The A925 was preceded by the featurewise essentially identical Motorola A920, and was succeeded by the Motorola A1000.
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The IET Mountbatten Medal is awarded annually for an outstanding contribution, or contributions over a period, to the promotion of electronics or information technology and their application. The Medal was established by the National Electronics Council in 1992 and named after Louis Mountbatten, The Earl Mountbatten of Burma, Admiral of the Fleet and Governor-General of India. Since 2011, the medal has been awarded as one of the IET Achievement Medals.
Vlingo was a speech recognition software company co-founded by speech-to-text pioneers Mike Phillips and John Nguyen in 2006. It was best known for its intelligent personal assistant and knowledge navigator, also named Vlingo, which functioned as a personal assistant application for Symbian, Android, iPhone, BlackBerry, and other smartphones. Vlingo was acquired by speech recognition giant Nuance Communications in 2012.
Nelson Harold Morgan is an American computer scientist and professor in residence (emeritus) of electrical engineering and computer science at the University of California, Berkeley. Morgan is the co-inventor of the Relative Spectral (RASTA) approach to speech signal processing, first described in a technical report published in 1991.
Good Technology, owned by BlackBerry Limited, is a mobile security provider headquartered in Sunnyvale, California, United States. The company serves more than 5,000 organizations worldwide in industries such as financial services, healthcare, manufacturing, energy and utilities, legal, government, and technology. Good makes products for managing and securing mobile devices in a business environment. The company focuses on securing apps and data on mobile devices.
Alex Graves is a computer scientist. Before working as a research scientist at DeepMind, he earned a BSc in Theoretical Physics from the University of Edinburgh and a PhD in artificial intelligence under Jürgen Schmidhuber at IDSIA. He was also a postdoc under Schmidhuber at the Technical University of Munich and under Geoffrey Hinton at the University of Toronto.
Stephen John Young is a British researcher, Professor of Information Engineering at the University of Cambridge and an entrepreneur. He is one of the pioneers of automated speech recognition and statistical spoken dialogue systems. He served as the Senior Pro-Vice-Chancellor of the University of Cambridge from 2009 to 2015, responsible for planning and resources. From 2015 to 2019, he held a joint appointment between his professorship at Cambridge and Apple, where he was a senior member of the Siri development team.