Awarded the CCDC fellowship by the Center for Control, Dynamical Systems, and Computation at UCSB.
NEW: Video and Project Page for X-Ray Eyes in Sky: Drones and WiFi for 3D Through-Wall Imaging
Our work on 3D Through-Wall Imaging with Drones and WiFi is in the News: BBC Click, Engadget, TechCrunch, Mashable, TechRadar, Sputnik News, New York Post, PC Mag, Digital Trends, IFLScience, World News, Science Daily, Tecmundo, The Register, Phys.org, New Atlas, UCSB press release, IEEE Spectrum, ACM News, Yahoo News, MSN News, and other outlets
I am a graduate student in Prof. Yasamin Mostofi's lab at the ECE department in UCSB. You can contact me at ckaranam [at] ece.ucsb.edu
B.Tech and M.Tech Dual-degree in Electrical Engineering (Communication Systems) from Indian Institute of Technology Madras : 2014
MS/PhD in Electrical and Computer Engineering (Communications and Signal Processing) from University of California Santa Barbara : 2014 - present
RF Sensing and Imaging
Robotics and Wireless Sensing
Array Signal Processing
B. Korany*, C. R. Karanam*, and Y. Mostofi, "Adaptive Near-Field Imaging with Robotic Arrays," in proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, July 2018. (*equal contribution)
C. R. Karanam*, B. Korany*, and Y. Mostofi, "Magnitude-Based Angle-of-Arrival Estimation, Localization, and Target Tracking," in proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 2018. [slides] (acceptance rate: 26.5%) (*equal contribution)
S. Depatla, C. R. Karanam, and Y. Mostofi, "Robotic Through-Wall Imaging: Radio-Frequency Imaging Possibilities with Unmanned Vehicles," IEEE Antennas and Propagation Magazine, Special issue on Electromagnetic Inverse Problems for Sensing and Imaging, 59, no. 5 : 47-60, Oct. 2017.
C. R. Karanam and Y. Mostofi, "3D Through-Wall Imaging with Unmanned Aerial Vehicles Using WiFi," in proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 2017. [Project page] [video] [slides] (acceptance rate: 18.3%)