Department Of Computer Science and Engineering

Dr Shrisha H S

Degree	Institution	Specialization	University	Year
B.E	KVG College of Engineering	Computer Science and Engineering	VTU	2009
M.Tech	NMAMIT, NItte	Computer Science and Engineering	VTU	2014
Ph.D.	Malnad Engineering College, Hassan	Computer Science and Engineering	VTU	2023

Field	Designation	Workplace	From	To
Teaching	Assistant Professor	Canara Engineering College	2015	2022
	Associate Professor	St Joseph Engineering College	2023	2026
	Professor & HOD (CSE)	Srinivas Institute of Technology	2026

Artificial Intelligence and Machine Learning ,Computer Networks and Security

Artificial Intelligence and Machine Learning, Deep Learning

National Journals
Inter National Journals
1	Shrisha H-S, Anupama V, MultiNet: A lightweight deep learning group of models for fruit maturity detection, Measurement: Digitalization, Volume 4, 2025, 100012, ISSN 3050-6441, Elsevier B.V. https://doi.org/10.1016/j.meadig.2025.100012
2	H.S. Shrisha, V. Anupama, NVS-GAN: Benefit of generative adversarial network on novel view synthesis, International Journal of Intelligent Networks, Volume 5, 2024, Pages 184-195, ISSN 2666-6030, Elsevier B.V. https://doi.org/10.1016/j.ijin.2024.04.002
3	H.S. Shrisha, Uma Boregowda, An energy efficient and scalable endpoint linked green content caching for Named Data Network based Internet of Things, Results in Engineering, Volume 13, 2022, 100345, ISSN 2590-1230, Elsevier B.V. https://doi.org/10.1016/j.rineng.2022.100345. Scopus (76/300), SCImago Q1, Emerging Source Citation Index (Web of Science)
4	H. S., Shrisha.; Boregowda, U. Quality-of-Service-Linked Privileged Content Caching Mechanism for Named Data Networks. Future Internet 2022, 14, 157. MDPI, https://doi.org/10.3390/fi14050157 Scopus (92/359), SCImago Q2, Emerging Source Citation Index (Web of Science)

National conferences
Inter National conferences
1	A. P. Rodrigues, A. S. Dsouza, D. D. C, A. V and Shrisha. H. S, "Benchmarking YOLO and Detectron2 Pre-trained Models for Helmet and License Plate Recognition: A Comparative Study," 2025 International Conference on Intelligent Systems and Pioneering Innovations in Robotics and Electric Mobility (INSPIRE), Mangalore, India, 2025, pp. 29-34, doi: 10.1109/INSPIRE67328.2025.11300581.
2	J. Joseph, S. M. Crasta, S. E. Dsouza, E. Lobo, Shrisha. H. S and S. Rego, "Predicting Bioactivity Using Chemical Fingerprint Models & Cell Morphology with Deep Neural Networks," 2024 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), Mangalore, India, 2024, pp. 309-315, doi: 10.1109/DISCOVER62353.2024.10750662.
3	P. Salian K, Shrisha. H.S., S. Salian and K. K, "MPInet: Medicinal Plants Identification using Deep Learning," 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, 2023, pp. 654-657, doi: 10.1109/ICECA58529.2023.10395327.
4	Shrisha, H.S., Anupama, V., Suresha, D., Jagadisha, N. (2022). KGAN: A Generative Adversarial Network Augmented Convolution Neural Network Model for Recognizing Kannada Language Digits., Communication and Intelligent Systems. Lecture Notes in Networks and Systems, vol 461. Springer, Singapore. https://doi.org/10.1007/978-981-19-2130-8_41 (Scopus indexed)

1	Machine Learning by Standford Online. Link: https://coursera.org/verify/ER8ZX3TR72HV
2	Microsoft Technology Associate: Networking Fundamentals (MTA), Certiport ID : 90051646
3	NPTEL recognized FDP- Machine Learning; Cloud computing, Industry 4.0 & IOT.
4	FDP on Python, Big Data, Computer Science & Biology, Mobile & Pervasive computing
5	Cyber Security Analyst by IBM-Coursera

1	B.E projects
2	M.Tech projects
3	PhD projects

1	Head, Department of Computer Science and Engineering

Email ID(Official)	[email protected]
Phone/Mobile Number

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