psekharm@gitam.edu
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Praveen Kumar Sekharamantry is a Postdoctoral Research Associate at the University of Trento, Italy, currently collaborating with Teiacare S.r.l., Milan, while on study leave. He previously completed a two-year postdoc with Bluetensor S.r.l. His research spans Computer Vision, Deep Learning, and Big Data, with numerous SCI and Scopus-indexed publications and 16 years of experience. He has completed three consultancy projects with Exawizards, Japan, and holds certifications in Java and Oracle.
Research Publications
- Deep Learning-Based Apple Detection with Attention Module and Improved Loss Function in YOLO. Remote Sens. 2023, 15(6), 1516; https://doi.org/10.3390/rs15061516
- Drone-based apple detection: Finding the depth of apples using YOLOv7 architecture with multi-head attention mechanism. Smart Agricultural Technology,2023, 5, 100311. https://doi.org/10.1016/j.atech.2023.100311
- A Seamless Deep Learning Approach for Apple Detection, Depth Estimation, and Tracking Using YOLO Models Enhanced by Multi-Head Attention Mechanism. Computers,2024, 13(3), 83. https://doi.org/10.3390/computers13030083
- An assisting model for the visually challenged to detect bus door accurately, Vol 19, No 6 December 2021,http://doi.org/10.12928/telkomnika.v19i6
- Classification of Medical Plants Based on Hybridization of Machine Learning Algorithms. Indian Journal of Information Sources and Services, 13(2), 14–21. https://doi.org/10.51983/ijiss-2023.13.2.3761
Expertise
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Machine Learning & Deep Learning
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Computer Vision
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Big Data Analytics
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Research Projects & Academic Writing
Authored Books
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COMPUTER NETWORKS,2023,Scientific International Public House, Binding: Paperback ISBN: 9789357570091
