Venkata Ramana Murthy Oruganti

Associate Professor

Department of Computer Science Engineering

GITAM School of Technology

Visakhapatnam

Education

Ph. D.

vorugant@gitam.edu

Social Media

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Scopus

ORCiD

Dr. Ramana Murthy received his Master's and PhD from IIT Delhi. He has more than 9 years of research experience in reputed Universities including the NUS Singapore, NTU, Singapore, and the University of Canberra, Australia. He was a visiting researcher at the School of Computer Science, Carnegie Mellon University. USA. He also served as HoD, Dept of CSE, at Amrita Vishwa Vidyapeetham (NIRF 7th rank). As a main PhD guide, he graduated twin sisters in 2023. He is a Senior member IEEE.

Research Publications

R. Kuttala, R. Subramanian and V. R. M. Oruganti, Hierarchical Autoencoder Frequency Features for Stress Detection, in IEEE Access, vol. 11, pp. 103232-103241, 2023, doi: 10.1109/ACCESS.2023.3316365.
P. Sridhar, S. K. Thangavel, L. Parameswaran and V. R. M. Oruganti, Fire Sensor and Surveillance Camera based GTCNN for Fire Detection System, in IEEE Sensors Journal, doi: 10.1109/JSEN.2023.3244833.
Devika Kuttala, Dwarikanath Mahapatra, Ramanathan Subramanian, V. Ramana Murthy Oruganti, Dense attentive GAN-based one-class model for detection of autism and ADHD, Journal of King Saud University- Computer and Information Sciences, Volume 34, Issue 10, Part B, 2022, Pages 10444-10458. https://doi.org/10.1016/j.jksuci.2022.11.001.
O. V. Ramana Murthy and Roland Goecke, Ordered Trajectories for Human Action Recog nition with Large Number of Classes, Image and Vision Computing, Elsevier, 42, 22-34, 2015. https://doi.org/10.1016/j.imavis.2015.06.009
M.Hanmandlu and O. V. Ramana Murthy, Fuzzy Model Based Recognition of Handwritten Numerals, Pattern Recognition, Elsevier, Vol. 40, pp. 1840-1854, 2007. https://doi.org/10.1016/j.patcog.2006.08.014

Expertise

Generative AI, Deep learning, NLP, Computer Vision, Signal Processing