I am broadly interested in statistics and networking. My current research investigates the location estimation problem for indoor wireless devices from an optimization perspective.
A Unifying Bayesian Optimization Framework for Radio Frequency Localization. Nachikethas A. Jagadeesan and Bhaskar Krishnamachari. To appear in IEEE Transactions on Cognitive Communications and Networking. (arXiv)
LOCO: A Location Based Communication Scheme. Pradipta Gosh, Nachikethas A. Jagadeesan, Pranav Sakulkar, and Bhaskar Krishnamachari. In Workshop on New Wireless Communication Paradigms for the Internet of Things (MadCom), 2017 International Conference on Embedded Wireless Systems and Networks (EWSN ’17). (pdf)
Software-Defined Networking Paradigms in Wireless Networks: A Survey. Nachikethas A. Jagadeesan and Bhaskar Krishnamachari. In ACM Computing Surveys (CSUR): Volume 47 Issue 2, January 2015. (pdf)
A Secure Computation Framework for SDNs. Nachikethas A. Jagadeesan, Ranjan Pal, Kaushik Nadikuditi, Yan Huang, Minlan Yu, and Elaine Shi. In ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking (HotSDN), 2014. (pdf)
PhD Electrical Engineering, Summer 2018 (Expected)
Advisor: Prof. Bhaskar
Krishnamachari
University of Southern California.
MS Statistics, 2017
University of Southern California.
MS Electrical Engineering (Computer Networks), 2015
University of Southern California.
B.Tech Engineering Physics, 2011
Indian Institute of Technology Madras.
Reviewer for
Teaching Assistant for
EE 450: Introduction to Computer Networks
Fall 2017, 2016, 2015
Spring 2016
EE 555: Broadband Network Architectures
Fall 2017
Spring 2017, 2015, 2014
EE 597:
Wireless Networks
Fall 2014, 2013