Email: shubha.r@cmrit.ac.in, mail2shugar@gmail.com
Mobile No: 8464988238
Shubha Rao A, is a strong academician and is currently working as Assistant Professor, in Department of Artificial Intelligence and Data Sciences(AI&DS) at CMR Institute of Technology. She is Pursuing Ph.D., in SJB Institute of Technology, Visveswaraya Technological University and has finished submission of Thesis. She received her Master’s degree M.Tech - 2nd Rank, with specialization in Network and Internet Engineering from Sri Jayachamarajendra College of Engineering (SJCE), Mysuru and has completed her Bachelor Degree B.E in Information Technology from GSSSITEW, Mysuru. She has completed a full internship from Philips with full stipend. She has Teaching Experience of 2 Years and has been active in the research from past 6years. Her areas of research interests are Digital Image processing, Computer Vision, Deep Learning, Reinforcement Learning.
Ph.D in SJB Institue of Technology, VTU, Bengaluru, 2023.
M.Tech - 2nd Rank in Network and Internet Engineering, Sri Jayachamarajendra College of Engineering (SJCE), Mysuru, 2010.
B.E in Information Science Engineering, GSSSIETW, Mysuru, 2007.
Research Scholar in SJBIT, Bengaluru from 2019 to 2023.
Working as Assistant Professor in Malla Reddy Institute of Technology & Science, Hyderabad from 2010 to 2011.
Worked as Lecturer in VidyaVardhaka College of Engineering from 2007 to 2008.
Digital Image processing, Artificial Intelligence, Computer Vision, Deep Learning, Reinforcement Learning.
Data Science and its application
Python
Data Structures and Applications
Operating System
Java
C++ with OOPS
Multimedia Computing
Rao, A.S., Mahantesh, K. Learning Semantic Features for Classifying very Large Image Datasets using Convolutional Neural Network, SN Journal of Computer Science, Springer, https://doi.org/10.1007/s42979-021-00589-6, 2, 187, pp. 1-9, 2021.
Rao, A. Shubha & Mahantesh, K. (2023) Impact of computer vision based secure image enrichment techniques on image classification model, Journal of Discrete Mathematical Sciences and Cryptography, 26:3, 899-911, DOI: 10.47974/JDMSC-1777
Shubha Rao, A., Dr Mahantesh, K. Hybrid model for Image Classification: Bridging the Gap with Global Feature Descriptor. Journal of Data Acquisition and Processing, 2023, 38 (3): 2874-2883.
Rao A., Shubha, and Mahantesh K. 2023. U-In-Effnet: Semantic Segmentation With The Effect Of Magnifying Glasss. International Journal of Intelligent Systems and Applications in Engineering. 11 (7s):170 -. https://ijisae.org/index.php/IJISAE/article/view/2943.
Chetana R, A Shubha Rao and Mahantesh K, Application of Conv-1D and Bi-LSTM to Classify and Detect Epilepsy in EEG Data. International Journal of Advanced Computer Science and Applications (IJACSA), 14 (6), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140628.
K. Mahantesh and S. Rao A., Content Based Image Retrieval - Inspired by Computer Vision & Deep Learning Techniques, 2019 4th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), Mysuru, India, 2019, pp. 371-377, doi: 10.1109/ICEECCOT46775.2019.9114610.
Rao, A.S., Mahantesh, K., Nagaraju, V. (2022). VIRNet for Image Retrieval: One for All Top Based on Feature Fusion Technique. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1580. Springer, Cham. https://doi.org/10.1007/978-3-031-06417-3_51.
Shubha Rao, A., Mahantesh, K. (2022). Image Classification Based on Inception-v3 and a Mixture of Handcrafted Features. In: Majhi, S., Prado, R.P.d., Dasanapura Nanjundaiah, C. (eds) Distributed Computing and Optimization Techniques. Lecture Notes in Electrical Engineering, vol 903. Springer, Singapore. https://doi.org/10.1007/978-981-19-2281-7_49.
ShubhaRao, A., Mahantesh, K. (2022). Ensemble Architecture for Improved Image Classification. In: Guru, D.S., Y. H., S.K., K., B., Agrawal, R.K., Ichino, M. (eds) Cognition and Recognition. ICCR 2021. Communications in Computer and Information Science, vol 1697, pp. 190-199. Springer, Cham. https://doi.org/10.1007/978-3-031-22405-8_15.
FDP on “Artificial Intelligence and Machine Learning” Organized by NIT Warangal and SJBIT, Bangalore.
FDP on “Application of Artificial Intelligence in Communication and Signal processing” Organized by NIT Warangal and SJBIT, Bangalore.
Poster presentation in 23RD INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION (HCII-2021), 24-29 July.
5th International Conference on Cognition and Recognition (ICCR-2021) organized by Maharaja Institute of Technology Mysore, Mandya, India.
International Conference on Distributed Computing and Optimization Techniques (ICDCOT-2021) Organized by SJBIT, Bangalore.
2nd International Conference on Adaptive Computational Intelligence (ICACI-2020) organized by GSSSIETW, Mysore.
4th International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT-2019) Organized by GSSIETW, Mysore.
Completed NPTEL course – Deep Learning for Computer Vision.