Foto del docente

Deekshitha Srinivas Nayak

Research fellow

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Publications

[1] Nayak, Deekshitha S., and R. Shivarudraswamy. "Performance Analysis of a Stand-

alone Photovoltaic Battery Based Mixer Grinder." Engineered Science 18 (2022):

253-262.-[Q1- Scopus]

[2] Deekshitha S Nayak, Dr R Shivarudraswamy, “Solar fed BLDC motor drive for

mixer grinder using a boost converter,” International Journal of Power Electronics

and Drive System, Vol 11, No 1, pp. 56-63, March 2020. Cite Score=2.4, DOI:

10.11591/ijpeds.v11.i1.pp56-63 [Q2-Scopus]

[3] Deekshitha S Nayak, Dr R Shivarudraswamy, “Solar fed BLDC motor drive for

mixer grinder using a buck-boost converter”, Bulletin of Electrical Engineering and

Informatics,Vol 9, No 1, pp.48-56, Feb 2020. Cite Score=1.3, DOI:

https://doi.org/10.11591/eei.v9i1.1667 [Q2-Scopus]

[4] Deekshitha S Nayak, Dr R Shivarudraswamy, “A solar fed BLDC motor drive for

mixer grinder using a buck converter”, International Journal of Electrical and

Computer Engineering,Vol 10, No 2, pp.1113-1121,April 2020. Cite Score=2.3,

DOI: 10.11591/ijece.v10i2.pp1113-1121 [Q2- Scopus]

[5] Deekshitha S Nayak, Dr R Shivarudraswamy, “Loss and Efficiency Analysis of

BLDC Motor and Universal Motor by Mathematical Modelling in the Mixer

Grinder”, Journal of the Institution of Engineers (India): Series B. Cite Score=1.0,

DOI: https://doi.org/10.1007/s40031-021-00652-z [Q3- Scopus]

[6] Deekshitha S Nayak, Dr R Shivarudraswamy, “Efficiency and Loss analysis of

proposed BLDC motor drive and existing universal motor drive used in a mixer

grinder”, International Journal of Mechanical Engineering and Robotics Research,

Vol. 9, No. 6, pp. 808-812, June 2020. Cite Score= 0.8, DOI:

10.18178/ijmerr.9.6.808-812 [Q3- Scopus]

[7] Deekshitha S Nayak, Dr R Shivarudraswamy, “The new control scheme for the PV

and wind Hybrid system connected to the single phase grid”, Journal of Electrical

Engineering and Technology, Vol 15, No 5, pp.1929-1936, June 2020. Cite Score=

1.8, DOI: https://doi.org/10.1007/s42835-020-00428-3 [Q3- Scopus] SCIE

[8] Dr R Shivarudraswamy, Karan Vyasa, Vikas Patel and Deekshitha S Nayak “Power

estimation in college campus by using renewable energy sources”, International

Journal of Advanced Science and Technology, Vol 29, No 3, pp. 14056-14066,2020.

[Q4]

[9] Deekshitha S Nayak, Raghavendra M Shetty, “Design and Modelling of the Sun

Grid System Using MATLAB”, International Journal of Innovative Research in

Science, Engineering and Technology, Vol 5, Special Issue 9, pp.405-407, May

2016.

[10] Nayak Deekshitha S, and R Shivarudraswamy, “Loss and Efficiency Analysis of

Universal Motor Used in Mixer Grinder by Mathematical Modelling,” In 2018 IEEE

International Conference on Automatic Control and Intelligent Systems

(I2CACIS),Shah Alam, Malaysia, 20 Oct 2018,pp. 105-110.

[11] Deekshitha S Nayak, Dr R Shivarudraswamy, “Efficiency and Loss analysis of the

Universal motor by theoretical and experimental in the application of the mixer

grinder”, 2020 8th International Electrical Engineering Congress, IEECON, Chiang

Mai,Thailand, 4-6 March 2020, pp.1-4.

[12] Deekshitha S Nayak, Dr. R Shivarudraswamy, “Efficiency and Loss Analysis of

Proposed BLDC Motor Drive and Existing Universal Motor Drive Used in a Mixer

Grinder,”2019 International Conference on Design, Mechanical and Electrical

Engineering, Bali, Indonesia, 13-15 Sept 2019, pp. 12-16.(Best Paper Award)

[13] Nayak, Deekshitha S., Sannidhi Rao, Sharan Kumar, Niharika Rao, and Himanshu

Bhatt. "Review on Web Application Based Infant Health Management." In IoT

Based Control Networks and Intelligent Systems: Proceedings of 3rd ICICNIS 2022,

pp. 55-65. Singapore: Springer Nature Singapore, 2022.

[14] Nayak, Deekshitha S., N. Akshaya Krishna, Sahana Shetty, Sukanya D. Naik, V.

Sambhram, and Krishang Shetty. "Review on Application of Wireless Technology

Using IoT." IoT Based Control Networks and Intelligent Systems: Proceedings of

3rd ICICNIS 2022 (2022): 161-170.

[15] Bhavya, S., Deekshitha S. Nayak, Royson Clausit Dmello, Ashish Nayak, and

Sakshi S. Bangera. "Machine Learning Applied to Speech Emotion Analysis for

Depression Recognition." In 2023 International Conference for Advancement in

Technology (ICONAT), pp. 1-5. IEEE, 2023.

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