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Engineering | SENSIP

Gowtham Muniraju, PhD

Student Name: Gowtham Muniraju, PhD 



Gowtham Muniraju is a PhD student at Arizona State University, co-advised by Dr. Andreas Spanias and Dr. Cihan Tepedelenlioglu. He completed B.E. degree in electronics and communications engineering from Visvesvaraya Technological University, India, in 2016. His research interests include distributed computation in wireless sensor networks, distributed optimization, computer vision and deep learning. In summer 2018, he interned at Lawrence Livermore National Laboratory, where he worked on developing optimal sampling techniques for improved hyperparameter optimization. In recent years, his research involves statistical parameter estimation and clustering in distributed wireless sensor networks.


A distributed wireless sensor network (WSN) is a network of large number of low-cost, multi-functional sensors with power, bandwidth, and memory constraints, operating in remote environments with sensing and communication capabilities. WSNs is a source for large amount of un-labelled data, and due to the inherent communication and resource constraints, developing a distributed algorithm to perform statistical parameter estimation and data analysis is necessary. In this regard, we have devised a distributed spectral clustering algorithm to group the sensors based on location attributes. We also developed a novel distributed max consensus algorithm robust to additive noise in the network. The work on estimating the spectral radius of the network in a distributed way is in progress. Algorithms we develop can be easily integrated in the existing sensor networks and will have a broader impact on the large scale distributed networks.

Research Picture:

List of Publications

  1. G. Muniraju, S. Rao, S. Katoch, A. Spanias, C. Tepedelenlioglu, P. Turaga, M. K. Banavar, and D. Srinivasan, “A cyberphysical photovoltaic array monitoring and control system,” International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), vol. 5, no. 3, pp. 33–56, 2017.
  2. X. Zhang, M. K. Banavar, C. Tepedelenlioglu, A. Spanias and G. Muniraju. “Location Estimation and Detection in Wireless Sensor Networks in the Presence of Fading.” In Physical communication journal, Elsevier, 2018.
  3. G. Muniraju, C. Tepedelenlioglu and A. Spanias, ” Analysis Max Consensus in the presence of additive noise.” (To be submitted)


  1. G. Muniraju, S. Zhang, C. Tepedelenlioglu, M. K. Banavar, A. Spanias, C. Vargas-Rosales, and R. Villalpando-Hernandez, “Location based distributed spectral clustering for wireless sensor networks,” in IEEE Sensor Signal Processing for Defence Conference (SSPD), 2017.
  2. G. Muniraju, C. Tepedelenlioglu, A. Spanias, S. Zhang, and M. K. Banavar, “Max consensus in the presence of additive noise,” in IEEE Asilomar Conference on Signals Systems and Computers, 2018.
  3. S. Katoch, G. Muniraju, S. Rao, A. Spanias, P. Turaga, C. Tepedelenlioglu, M. Banavar, and D. Srinivasan. “Shading prediction, fault detection, and consensus estimation for solar array control.” In 2018 IEEE Industrial Cyber-Physical Systems (ICPS), pp.217-222. IEEE, 2018.


I acknowledge the SenSIP Center of Electrical Engineering for the excellent advisory and support.