Chakravartula Raghavachari is an Assistant Professor in School of Computing, Coimbatore. He did his master’s in Remote Sensing and Wireless Sensor Networks from the same university. He obtained his B.E in Computer Science and Engineering from RMD Engineering College, Anna University, Chennai.
He is currently pursuing PhD from Center for Computational Engineering and Networking (CEN), Amrita Vishwa Vidyapeetham, Coimbatore. He is working in the field of Computer Vision and Robotics. Before joining Amrita as Assistant Professor, he had been in AMuDa lab at Amrita School of Engineering involved as Junior Research Fellow for a DST funded project.
Year : 2018
Cite this Research Publication : Chakravartula Raghavachari and Dr. Shanmugha Sundaram G. A., “Panoramic Surveillance Using a Stitched Image Sequence”, Communications in Computer and Information Science, vol. 837, pp. 445-452, 2018.
Publisher : Communications in Computer and Information Science
Year : 2020
Cite this Research Publication : Chakravartula Raghavachari and Dr. Shanmugha Sundaram G. A., “Deep Learning Framework for Fingerspelling System using CNN”, in 2020 International Conference on Communication and Signal Processing (ICCSP), 2020.
Publisher : ICCSP
Year : 2014
Cite this Research Publication : Jijeesh K. R., Anupama V., Chakravartula Raghavachari, and Gandhiraj R., “Study of polyphase structure made easy using GNU Radio”, in 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), Coimbatore, India, 2014.
Publisher : IEEE Institute of Electrical and Electronics Engineers
Year : 2015
Cite this Research Publication : Chakravartula Raghavachari, V. Aparna, S. Chithira, and Dr. Vidhya Balasubramanian, “A Comparative Study of Vision Based Human Detection Techniques in People Counting Applications”, Procedia Computer Science, vol. 58. pp. 461-469, 2015.
Publisher : Procedia Computer Science
Year : 2014
Cite this Research Publication : Chakravartula Raghavachari and Dr. Shanmugha Sundaram G. A., “Efficient use of bandwidth by image compression for vision-based robotic navigation and control”, 2014 International Conference on Communication and Signal Processing. pp. 513- 517, 2014.
Publisher : 2014 International Conference on Communication and Signal Processing
