Back close
Admissions

Dr. Gayathri R. Prabhu

Assistant Professor, Department of Electronics & Communication Engineering, School of Engineering, Amritapuri

Qualification: B-Tech, M.Tech, Ph.D
gayathrirp@am.amrita.edu
ORCID Profile
Google Scholar Profile
Research Interest: Signal processing and ML, FPGA based architectures, Learning algorithms

Bio Publications Qualification FDP / Workshops
Bio

Dr. Gayathri R. Prabhu joined the Department of ECE at Amritapuri campus as an assistant professor in 2022. She completed her undergraduate in Electronics and Communication Engineering from Amrita School of Engineering, Amritapuri Campus. She then graduated in Avionics (Digital Signal Processing) from Indian Institute of Space Science and Technology, Trivandrum. She completed her PhD in Electrical Engineering from Indian Institute of Technology, Madras. Her research interests include learning algorithms, signal processing techniques and applications to ML and FPGA based architectures.

Area of Specialization

  • Signal Processing
  • Information theory
  • Detection and Estimation Theory
  • FPGA based architectures
Publications

Journal Article

Year : 2022

Sequential multi-hypothesis testing in multi-armed bandit problems: An approach for asymptotic optimality

Cite this Research Publication : Prabhu, G.R., Bhashyam, S., Gopalan, A. and Sundaresan, R., 2022. Sequential multi-hypothesis testing in multi-armed bandit problems: An approach for asymptotic optimality. IEEE Transactions on Information Theory, 68(7), pp.4790-4817

Publisher : IEEE

Year : 2014

Scalable fixed point qrd core using dynamic partial reconfiguration

Cite this Research Publication : Prabhu, G.R., Johnson, B. and Rani, J.S., 2015. Scalable fixed point qrd core using dynamic partial reconfiguration. International Journal of Reconfigurable Computing, 2014, pp.15-15

Publisher : Hindawi

Conference Paper

Year : 2019

Learning to detect an anomalous target with observations from an exponential family

Cite this Research Publication : Prabhu, G.R., Bhashyam, S., Gopalan, A. and Sundaresan, R., 2019, June. Learning to detect an anomalous target with observations from an exponential family. In 2019 IEEE Data Science Workshop (DSW) (pp. 88-92). IEEE.

Publisher : IEEE

Year : 2015

FPGA based scalable fixed point QRD core using dynamic partial reconfiguration

Cite this Research Publication : Prabhu, G.R., Johnson, B. and Rani, J.S., 2015, January. FPGA based scalable fixed point QRD core using dynamic partial reconfiguration. In 2015 28th International Conference on VLSI Design (pp. 345-350). IEEE

Publisher : IEEE

Year : 2014

Fixed point pipelined architecture for QR decomposition

Cite this Research Publication : Prabhu, G.R., 2014, May. Fixed point pipelined architecture for QR decomposition. In 2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies (pp. 468-472). IEEE

Publisher : IEEE

Qualification
  • B.Tech, Department of Electronics & Communication Engineering
  • M.Tech, Avionics (Signal Processing)
  • PhD in Electrical Engineering (Sequential multi-hypothesis testing in multi-armed bandit problems)
FDP / Workshops
  • 1) TPD course on Active Teaching using Educational Technology Tools, March-May 2023 at Amrita Vishwa Vidyapeetham, Amritapuri.
Admissions Apply Now