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Lakshmivarahan, S.
University of Oklahoma
Norman, Oklahoma
 
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After completing his PhD from the Indian Institute of Science, in 1973, S. Lakshmivarahan held faculty and postdoctoral positions at the Indian Institute of Technology Madras, Brown University, and Yale University.

In the fall of 1978, Lakshmivarahan joined the School of Computer Science at the University of Oklahoma (OU). He has been recognized as a George Lynn Cross Research Professor since 1995, and has won numerous awards for both teaching and research. As of July 2019, he holds the position of George Lynn Cross Research Professor Emeritus at OU’s School of Computer Science.

His research interests are in applied mathematics and computation and include data mining and analytics, data assimilation, parallel computation, and learning algorithms. He has authored/coauthored six books in these areas and has mentored over 30 PhD dissertations and 40 master’s theses.

He was recognized as an IEEE Fellow in 1993 and an ACM Fellow in 1995, and has held short-term visiting positions in Japan, China, Taiwan, India, Germany, England, Mexico, Brazil, and Canada.

Lakshmivarahan has been a member of the CR community since 1986.

 
 
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- 3 of 3 reviews

   
   Applied linear analysis for chemical engineers: a multi-scale approach with Mathematica
Balakotaiah V., Ratnakar R., DE GRUYTER, Berlin, Germany, 2022. 590 pp.  Type: Book (3110739690)

This 750-plus-page book on applied linear analysis is the culmination of the authors’ more than three decades of experience teaching graduate students in chemical engineering, as well as a continuation of their own mentors’ legacy. It ...

May 2 2023  
   Social big data analytics: practices, techniques, and applications
Abu-Salih B., Wongthongtham P., Zhu D., Yan Chan K., Rudra A., Springer International Publishing, Cham, Switzerland, 2021. 228 pp.  Type: Book (978-3-030686-50-5)

Thanks to the advances in wireless sensor communication, large-scale storage, and computing technologies, those who can afford to be in one or more of the available platforms--the Internet, WhatsApp, or Twitter, to name a few--are connec...

Nov 8 2022  
  Mathematical foundations of big data analytics
Shikhman V., Müller D., Springer International Publishing, New York, NY, 2021. 288 pp.  Type: Book (978-3-662625-20-0), Reviews: (1 of 2)

Mathematical foundations of big data analytics is a very welcome and timely addition to the growing area of big data analytics. The authors develop--and strictly follow in each of the nine chapters--a template ...

Jul 5 2021  
 
 
   
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