Dr Shrisha H.S.

About

A research and teaching oriented academician looking forward to contribute towards science and student education that will best serve the society.

---

Education Qualifications

Sl.No	Qualification Level	University	Area of Specialization	Year of completion	Awards
1	PhD	Visvesvaraya Technological University	Computer Science	2023
2	MTech	Visvesvaraya Technological University	Computer Science & Engineering	2014
3	B.E.	Visvesvaraya Technological University	Computer Science & Engineering	2009

---

Responsibilities At SJEC

1. CSE department Contineo Co-ordinator
2. CSE department Infosys Springboard co-ordinator
3. CSE Department IPR co-ordinator
4. BoS member: Department of CSE, SJEC
5. Admission and Academic committee member 

---

Work Experience

• Current
  • Associate Professor
  • Start date: 1/6/2023
• Previous
  • St Joseph Engineering College
  • Assistant Professor
  • Start date: 6/10/2022
  • End date: 30/5/2023
  • Canara Engineering College
  • Assistant Professor
  • Start date:1/8/2015
  • End date: 30/6/2022

---

Research Areas

1. Artificial Intelliegence, Machine Learning, Deep Learning
2. Computer Networks
3. Communication systems

 

---

Journal Publications

1. 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, https://doi.org/10.1016/j.ijin.2024.04.002

2. 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.  

3. 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  

---

Conference Proceedings

1. 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. 

2. 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.

3. 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
4. D. Suresha, N. Jagadisha, H. S. Shrisha and K. S. Kaushik, "Detection of Brain Tumor Using Image Processing," 2020 Fourth International Conference on Computing, Methodologies and Communication (ICCMC), 2020, pp. 844-848,
   https://doi.org/10.1109/ICCMC48092.2020.ICCMC-000156

---

Research Grants

1. SJEC Seed Money: Research grant worth 90000 for the project "Investigation of autonomous spectrum management for cognitive radio system" for Academic Year 2023-24.

---

Membership in professional Bodies

1. IEEE

---