Tarun K. Chandrayadula

Assistant Professor
Ocean Department
IIT Madras


Download Tarun K. Chandrayadula's curriculum vitae: PDF format


Tarun K. Chandrayadula is currently an assistant professor in the Department of Ocean Engineering at Indian Institute of Technology Madras (2014). Prior to this he was at IIT Delhi (IITD) as an assistant professor in the Electrical Engineering department. Before IITD he was a National Research Council and Office of Naval Research Postdoctoral Fellow in the Department of Oceanography at Naval Postgraduate School (NPS) in Monterey, CA (2010-2013). Before NPS he was at George Mason University in Fairfax, VA getting his Doctor of Philosophy (Ph.D.) (2003-2010) and Master of Science (MS). (2001-2003) degrees in Electrical Engineering. He got his Bachelor of Engineering (B.E.) from Madras University. Most of his research has thus far been in statistical signal processing, acoustic propagation models, inverse methods, and array spatial processing.


  • 2010-2013
    Postdoctoral Research : Naval Postgraduate School, Monterey, California, USA - Dept of Oceanography
  • 2003-2009
    Doctor of Philosophy (Ph.D.) : George Mason University, Fairfax, Virginia, USA - Dept of Electrical Engineering
  • 2001-2003
    Master of Science (M.S.) : George Mason University, Fairfax, Virginia, USA - Dept of Electrical Engineering
  • 1997-2001
    Bachelor of Engineering (B.E.) : Madras University, Chennai, India - Electronics and Communication Engineering

Research Interests

The underwater acoustic medium causes challenges to signal processing applications. The peculiarities of the underwater medium : high degree of anisotropy and time variability are the main reasons for the challenges. The depth and range anisotropy are due to thermal gradients, oceanographic effects, and bathymetric interactions. The time variability is because of the changing oceanographic conditions. My research has thus far tried to incorporate acoustic propagation models in to signal processing methods. The acoustic propagation models focus on internal wave induced variability is range and time. The signal processing methods have use acoustic modes of the waveguide, which incorporate the propagation physics of the underwater medium. In order to describe the variability my research has used subspace based methods that account for the internal wave induced acoustic variability.

A primary focus of this research is the work with real data, from observations made in the ocean. I enjoy working with actual data. The observations come with noise, outliers, and more limitations than simulations. This type of work is painstaking, but worthwhile because it often throws unexpected results that help test and advance existing methods.


Jan – May

OE 5087

Ocean Instrumentation

Aug – Dec

OE 5110

Experimental Methods and Measurements

Aug – Dec

OE 2023

Marine Instrumentation Lab


P. Sivaselvi (since Jan 2015) : Ph.D. candidate, full-time.

Nikita R. Pinto (since Jan 2018) : MS student, full-time.

R. P. Raju (since Aug 2017) : Ph.D. student, part-time. The student is currently on leave from NPOL where he is a scientist in the Ocean Sciences group.

Sameer Babu (since January 2018): Ph.D. student part-time. The student is currently on leave from NPOL where he is a scientist in the underwater.


109 B, Ocean Engineering,
IIT Madras, Chennai 600036
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