Ankireddy Sri Venkata Praneel

Assistant Professor

Education

M. S.

pankired@gitam.edu

Social Media

Google Scholar Scopus

Scopus

ORCiD

Ankireddy Sri Venkata Praneel is an accomplished Academician and Researcher with extensive experience in Computer Science and Software Development. He has earned a Ph.D. in CSE from GITAM University and holds a Master’s in Computer Science from CSU, Fresno, USA. With research interests spanning AI, ML, DL, Computer Vision, Image Processing, Pattern Recognition, and VQA. He led teams as a Project technical lead in top MNCs like Weyerhaeuser, Western Union, WPS, Integrys and Brainware in the USA.

Research Publications

Praneel, A. S. V.., & Rao, T. S.. (2024). Vertical Text Detection and Recognition in Natural Scene Images: A Vertical Text Classifier and Detector with Gated Dual Adaptive Attention Mechanism. International Journal of Intelligent Systems and Applications in Engineering, 12(16s),655–663. https://ijisae.org/index.php/IJISAE/article/view/4911
Praneel, A. S. V.., & Rao, T. S.. (2023). Gated Dual Adaptive Attention Mechanism with Semantic Reasoning, Character Awareness, and Visual-Semantic Ensemble Fusion Decoder for Text Recognition in Natural Scene Images. International Journal of Intelligent Systems and Applications in Engineering, 12(1),221–234. https://www.ijisae.org/index.php/IJISAE/article/view/3779
A.S. Venkata Praneel, et al. (2023). Text Detection Using Transformation Scaling Extension Algorithm in Natural Scene Images. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 1233–1244. https://doi.org/10.17762/ijritcc.v11i10.8664
Satapathy, S.K., Kondaveeti, H.K., Praneel, A.S.V. (2023). A Machine Learning Model for Automatic Sleep Staging Based on Single-Channel EEG Signals. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Applied Computing for Software and Smart Systems. Lecture Notes in Networks and Systems, vol 555. Springer, Singapore. https://doi.org/10.1007/978-981-19-6791-7_12
Venkata Praneel, A.S., Srinivasa Rao, T., Ramakrishna Murty, M. (2020). A Survey on Accelerating the Classifier Training Using Various Boosting Schemes Within Cascades of Boosted Ensembles. In: Reddy, A., Marla, D., Simic, M., Favorskaya, M., Satapathy, S. (eds) Intelligent Manufacturing and Energy Sustainability. Smart Innovation, Systems and Technologies, vol 169, pp. 809–825. Springer, Singapore. https://doi.org/10.1007/978-981-15-1616-0

Expertise

Artificial Intelligence
Machine Learning , Deep Learning
Computer Vision , Pattern Recognition
Computer Graphics , Image Processing
Software Development Life cycle , Design Patterns