Qualification :
Pursuing PhD, Visveswaraya Technological University, Belagavi, Karnataka.
Experience
2.6 Years
Research Interest/Area:
Machine Learning and Natural Language Processing
Publication:
Patents :
Patent No: 202211073508
Title : The heart disease prediction using technique of classification in machine learning using the concepts of data mining
Patent No: 202221075233
Title : The energy efficient cluster-based routing in Internet of Things
Book Chapters:
Title: “A prototype for a blind navigation system based on GPS voice alert system using ultrasonic sensor”
Book: Artificial Intelligence and Information Technologies, 1st Edition, 2024, eBook ISBN9781032700502
Title: A smart accident detection, prevention and reporting system using arduino
Book: Artificial Intelligence and Information Technologies, 1st Edition, 2024, eBook ISBN 9781032700502
Conference papers:-
Ashtagi, R., Akkalkot, A.I., Kotecha, K., Maginmani, U.H., Patil, P., Patil, A. (2024). Detection of Stage of Cancer Using Machine Learning and Deep Learning. In: Goar, V., Kuri, M., Kumar, R., Senjyu, T. (eds) Advances in Information Communication Technology and Computing. AICTC 2024. Lecture Notes in Networks and Systems, vol 1074. Springer, Singapore. https://doi.org/10.1007/978-981-97-6103-6_38
S. N. Rajan, M. Saxena, K. Joshi, S. Joshi, V. Malathy and A. A. Imran, “A Blockchain Based Framework for Opening Up Big Data in Collaborative Edges with Less Resource Consumption,” 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 2818-2822, doi: 10.1109/ICACITE57410.2023.10183224.
P. Saravanan, A. Pandey, K. Joshi, R. Rondon, J. Narasimharao and A. A. Imran, “Using machine learning principles, the classification method for face spoof detection in artificial neural networks,” 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2023, pp. 2784-2788, doi: 10.1109/ICACITE57410.2023.10182551.
R. Ashtagi et al., “Blockchain-Based Music Streaming Services: A Novel Approach to Transparent Artist Control,” 2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS), Pune, India, 2024, pp. 1-8, doi: 10.1109/ICBDS61829.2024.10837486.
Journal papers:
Title: “A Hybrid Machine learning Techniques for Detection of Chronic Kidney Disease” Panamerican Mathematical Journal Volume 34, Issue 4, Pages 93 – 1032024
Title: “Enhancing Melanoma Skin Cancer Diagnosis Through Transfer Learning: An EfficientNetB0 Approach” Acadlore Transactions on AI and Machine Learning, vol. 3, no. 1, pp. 57–69, 2024. https://doi.org/10.56578/ataiml030105.
Title: “Door lock system using cryptographic algorithms based on IOT” International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Title: “A Survey on Machine Learning Algorithms for Risk-Controlled” Algorithmic Trading” International Journal of Scientific Research in Science and Technology Print ISSN: 2395-6011 | Online ISSN: 2395-602X (www.ijsrst.com) doi : https://doi.org/10.32628/IJSRST523103163
Recent Teachings:
A.Y. 2024-25
Semester I: Deep Learning and Data Analytics
Semester II: Object Oriented Programming Design and Introduction to Blockchain, Cryptocurrencies and Smart Contract.
Awards & Recognition:
1. 4th Rank to Visveswaraya Technological University in M.Tech
2. Awarded Junior Research Fellowship by DRDO in 2022
