Dr. Srinivas Narasegouda
Assistant Professor
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Academic Experience:
Teaching Experience : 09 Years
Research Experience : 14 Years
Total Citations : 35
H-Index : 4 -
Qualification:
M.Sc, Ph.D
Dr. Srinivas Narasegouda
Assistant Professor
| # | Degree | Subject | University, place ,year |
|---|---|---|---|
| 1 | Ph.D | Computer Science | Mangalore University, Mangalore, 2017 |
| 2 | M.Sc | Computer Science | Karnatak University, Dharwad, 2008 |
| 3 | UG | BSc | Vijaya Nagara College Hospet, Gulbarga University, 2006 |
| Data Mining and Knowledge Discovery, Machine Learning, Artificial Intelligence, Swarm Intelligence. |
|
BOOK CHAPTERS 1. Srinivas Narasegouda, 2021. “A Spatio-temporal Model for the Analysis and Classification of Soil Using the IoT.” Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0, pages. 221-234, ISBN 9781003146711, CRC Press. |
| 2. Srinivas Narasegouda, 2020. "Agricultural IoT as a Disruptive Technology: Comparing Cases from the USA and India,", The Digitalization Conundrum in India, India Studies in Business and Economics, chapter 7, pages 123-132, ISBN: 978-981-15-6906-7, Springer, https://doi.org/10.1007/978-981-15-6907-4_7 . |
| 3. Srinivas Narasegouda, 2020. “A Decade Survey on Internet of Things in Agriculture.” In Internet of Things (IoT), pages. 351-370, ISBN 978-3-030-37467-9, Springer, 26 May 2020, https://doi.org/10.1007/978-3-030-37468-6_19. |
| 4. Srinivas Narasegouda, 2018. “Nature Inspired Algorithm Approach for the Development of an Energy Aware Model for Sensor Network.” Title of Book: Computational Intelligence in Sensor Networks, Springer, Berlin, Heidelberg 2018. |
| 5. Srinivas Narasegouda, 2018. “A Meta-heuristic based Hybrid Predictive model for Sensor Network Data.” Title of Book: Computational Intelligence in Sensor Networks, Springer, Berlin, Heidelberg 2018. |
| 1. Srinivas Narasegouda. "Symbolic Data Analysis for the Development of Object Oriented Data Model for Sensor Data Repository." In Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013, pp. 435-442. Springer International Publishing, 2014. |
| 2. Srinivas Narasegouda. "Fault Detection in Sensor Network Using DBSCAN and Statistical Models." In Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013, pp. 443-450. Springer International Publishing, 2014. |
| 3. Srinivas Narasegouda. “Data Prediction in Sensor Network Using Statistical Measures.” In Proceedings of International Conference on Emerging Computation and Information Technologies (ICECIT-2013), ISSN 9789351071761, pp 121-127, Elsevier Publishing, 2013. |
| 4. Srinivas Narasegouda. “Energy Saving Model for Sensor Network: A Simulated Annealing Approach.” In Proceedings of International Conference on Emerging Computation and Information Technologies (ICECIT-2013), ISSN 9789351071761,pp 128-132, Elsevier Publishing, 2013. |
| 5. Srinivas Narasegouda. “Energy Saving Model for Sensor Network Using Ant Colony Optimization Algorithm.” In Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), pp 51-57. December 28-30, Springer -International Publishing, 2012. |
| 6. Srinivas Narasegouda. “Energy saving model for sensor network: A Bees Colony Approach.” In Proceedings of the InternationalConference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications (C2SPCA 2013), IEEE Publishing, DOI 10.1109/C2SPCA.2013.6749457, 2013. |
| 1. “A Spatio-temporal Model for the Analysis and Classification of Soil Using the IoT.” Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0, pages. 221-234, ISBN 9781003146711, CRC Press. |
|
2. "Agricultural IoT as a Disruptive Technology: Comparing Cases from the USA and India,", Title of Book: The Digitalization Conundrum in India, India Studies in Business and Economics, chapter 7, pages 123-132, ISBN: 978-981-15-6906-7, Springer, 02 March 2021, https://doi.org/10.1007/978-981-15-6907-4_7. |
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3. “A Decade Survey on Internet of Things in Agriculture.” Title of Book: Internet of Things (IoT), pages. 351-370, ISBN 978-3-030-37467-9 Springer, 26 May 2020, https://doi.org/10.1007/978-3-030-37468-6_19. |
|
4. "Nature Inspired Algorithm Approach for the Development of an Energy Aware Model for Sensor Network." Title of Book: Computational Intelligence in Sensor Networks, Volume 776, pages 55-77, ISBN 9783662572757, Springer, DOI https://doi.org/10.1007/978-3-662-57277-1_3 , 2019. |
|
5. "A Meta-heuristic based Hybrid Predictive model for Sensor Network Data." Title of Book: Computational Intelligence in Sensor Networks, Volume 776, pages 167-186, ISBN 9783662572757, Springer, DOI https://doi.org/10.1007/978-3-662-57277-1_8, 2019. |
| 1. Srinivas Narasegouda. “Data Repository for Sensor Network: A Data Mining Approach”. International Journal of Database Management Systems (IJDMS), Vol.6, No 4, pp 1-9, August, 2014, ISSN: 0975-5705 (Online); 0975-5985 (Print). |
| 2. Srinivas Narasegouda. “Energy Aware Model for Sensor Network: A Nature Inspired Algorithm Approach”. International Journal of Database Management Systems (IJDMS), Vol.6, No 4, pp 27-36, August, 2014, ISSN: 0975-5705 (Online); 0975-5985 (Print). |
| ● Invited as a resource person for a talk on “Machine Learning with ORANGE” at St. Anne’s College, Bengaluru, held on May 1, 2024, sharing practical insights into the application of visual programming tools in machine learning education. |
| ● Organized and led a National-Level Faculty Development Program titled “A Faculty Development Programme on Using Innovative Tools to Teach Machine Learning”, conducted from October 11–15, 2022, in online mode via MS Teams, aimed at enhancing faculty competencies in teaching Machine Learning. |
| ● Conducted a hands-on workshop on “Machine Learning with ORANGE” for MSc and MCA students at Mount Carmel College, December 1, 2022, focusing on experiential learning of machine learning techniques through no-code tools. |
FDP |
Agency |
Month and Year |
7 Days National Level Faculty Development Programme- Research, Innovation and Industry Connect- Empowering Excellence in Education |
Jyoti Nivas College Autonomous, Bengaluru |
April 2025 |
Five Day Faculty Development Programme on “Reconfiguring the Mind: Post COVID Consciousness” |
IQAC, Jyoti Nivas College Autonomous |
June, 2020 |
Five Days Faculty Development programme on “E-Content Learning and Teaching” |
Jyoti Nivas College Autonomous |
June 2020. |