Mathukumalli VidyasagarMathukumalli Vidyasagar was born in Guntur, India on September 29, 1947. He received B.S., M.S. and Ph.D. degrees in electrical engineering from the University of Wisconsin in Madison, in 1965, 1967 and 1969 respectively. Between 1969 and 1989, he was a professor of Electrical Engineering at various universities in the USA and Canada. He is an IEEE Fellow.

In 1989 he returned to India as the Director of the newly created Centre for Artificial Intelligence and Robotics (CAIR) in Bangalore, under the Ministry of Defense with the Indian government. Between 1989 and 2000, he built up CAIR into a leading research laboratory with about 40 scientists and a total of about 85 persons, working in areas such as flight control, robotics, neural networks, and image processing. In 2000 he moved to the Indian private sector as an Executive Vice President of India's largest software company, Tata Consultancy Services. In the city of Hyderabad, he created the Advanced Technology Center, an industrial R & D laboratory of around 80 engineers, working in areas such as computational biology, quantitative finance, e-security, identity management, and open source software to support Indian languages.

In 2009, he retired from TCS at the age of 62, and joined the Erik Jonsson School of Engineering & Computer Science at the University of Texas at Dallas, as a Cecil & Ida Green Chair in Systems Biology Science. In March 2010, he was named as the Founding Head of the newly created Bioengineering Department. His current research interests are in the application of stochastic processes and stochastic modeling to problems in computational biology, control systems and quantitative finance.

Articles Contributed

  • Computational Biology Corner

    By Mathukumalli Vidyasagar

    In his continuing column, this month Dr. Vidyasagar discusses how the variability of biological data, derived from different commercial platforms, impedes the application of engineering methodology.

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  • Computational Biology Corner

    By Mathukumalli Vidyasagar

    (This is the first article in a continuing feature of the Newsletter.)

    "Computational biology" is a phrase that means different things to different people, ranging all the way from sequence alignment, to turning very short "reads" of DNA fragments into a complete genome, to predicting adverse responses in clinical trials. In this month's article, I look at the role of machine learning in computational biology. Is it necessary - and is it sufficient, as it is currently implemented?

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  • Algorithms Good to GREAT: The Search for the Perfect Acronym

    By M. Vidyasagar
    University of Texas at Dallas

    "What's in a name? That which we call a rose
    Would smell as sweet by any other name"
    (Romeo & Juliet, Act II, Scene II)

    Clearly William Shakespeare did not understand marketing. Perhaps there was a time when an idea would sell simply on its own merits, and did not need a catchy name. Indeed, this still seems to be the case in my home field, control theory, where I cannot think of even a single catchy acronym.

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