Dr. Neethi M V
| Name | Dr. Neethi M V |
|---|---|
| Designation | Assistant Professor |
| Department | CSE — Data Science |
| Qualification | PhD, MTech, BE |
| Date of Joining | 30-06-2023 |
Contact Details
Ph.D Computer Science and Engineering, VTU, Belagavi
M.Tech in Computer Cognition Technology , DOS in Computer Science, Manasa Gangothri, University of Mysore, Mysore.
B.E CSE,Yagachi Institute of Technology, Hassan, VTU.
| Teaching Experience | 4 years |
|---|---|
| Research Experience | 3.5 years |
| Industry Experience | — |
Research Experience as Research Associate – 3.5 Years
Assistant Professor, A T M E College of Engineering, Mysuru, June 2023 – Till Date
Assistant Professor, Department of MCA, National Institute of Engineering, Mysore from September 2021 – June 2023
Research Associate, Department of CSE, Malnad College of Engineering, Hassan from February 2018 to September 2021
International Journals
- 1.
Neethi M V, Published an article(2025), ”Evaluation of convolutional neural network models’ performance for estimating mango crop yield”,IJOSI,9(1)
- 2.
Neethi M V, P. Raviraj; J. Vishwesh (2024), “Temporal Mango fruit Dataset”, Mendeley Data, V1, doi: 10.17632/9sb2rbn2g5.1
- 3.
Neethi M V published an article (2024)“Mango Tree Dataset for Yield Estimation: Some Exploratory Analysis”, Indian Journal Of Science And Technology, 17, 1906-1913. 10.17485/IJST/v17i18.499.
- 4.
Neethi M V published an article “Fast region based convolutional neural network ResNet-50 model for on tree Mango fruit yield estimation “under Indonesian Journal of Electrical Engineering and Computer Science (2024), Vol. 33, No. 2,February 2024, pp. 1084~1091ISSN: 2502-4752, DOI: 10.11591/ijeecs.v33.i2.pp1084-1091
- 5.
Neethi M V published an article (2023)“Intelligent Mango Canopies Yield Estimation Using Machine Vision “under SN Computer Science, https://doi.org/10.1007/s42979-022-01602-2
- 6.
Neethi M V published an article(2021) “Yield Estimation in Mango Orchards Using Machine Vision” under AIP Conference Proceedings, 2336050004(2021), https://doi.org/10.1063/5.0046526
- 7.
Neethi M V published an International Journal “Constructing the Memory Bus using Collaborative Symmetries” under International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE) Volume 5 Issue 10 – Oct 2016, pp.0568-0571. (DOI 10.17148/IJARCCE.2016.510113)
- 8.
Neethi M V published an International Journal “Dimensionality reduction based on Class of Interest” under International Journal of Recent Trends in Engineering and Research (IJRTER) Volume 02 Issue 09 – Sep 2016[ISSN: 2455-1457]
- 9.
Neethi M V published an International Journal “Scratchpad” under International Journal of Engineering Research in Computer Science and Engineering (IJERCSE) Volume 03 Issue 06 – June 2016 [ISSN: 2394-2320]
- 10.
Neethi M V published an International Journal “Argol: Compelling Unification of Virtual Machine and RAID” under International Journal of Science, Engineering and Technology Research (IJSERT) Volume 4 Issue 2-Feb 2015, pp.0393-0396.
, Copy Rights & Grants
- 1.
The work titled “A System for Yield Estimation of Mango Fruit Crop Using Deep Learning” is filed for Patents, Patent application no: 202041043720, and has received FER “shall be examined under sections 12 and 13 of the Act.
Research Interest
- 1.
Image processing
- 2.
Machine Learning
- 3.
Computer Vision
- 1.
ISTE
- 1.
Neethi M V attended a Conference on Computational Sciences-Modelling, Computing and Soft Computing– (CSMCS- 2020) and presented Paper titled “Yield Estimation in Mango Orchards Using Machine Vision” at NIT, Calicut
- 2.
Neethi M V attended an International Conference on Applied Mathematics and Computational Intelligence – (ICAMCI-2020), and presented Paper titled “Mango Tree Dataset for Yield Estimation” at NIT, Agartala
- 3.
Neethi M V attended an international conference on Applied Science Engineering and Technology and presented a paper titled “Scratchpad” at Sri Sairam College of Engineering, Bengaluru.
- 4.
Neethi M V attended an international conference on Computer Communication and Networks – i3CN&-2015 and presented a paper titled “Trainable Atomic Modalities for IPV7” at Coorg Institute of Technology, South Coorg..
- 5.
Attended five days offline FDP on “Cyber Security Awareness and Emerging Technologies for secure Social Media and Banking Applications” during 10th -14th February 2025 at ATMECE,Mysuru
- 6.
Attended three days offline FDP on “Unlocking Generative AI” during 10th -12th February 2025 at ATMECE,Mysuru
- 7.
Attended three days offline FDP on ““Inculcating Universal Human Values in Technical Education” during 2nd -4th November 2023 at ATMECE,Mysuru
- 8.
Attended one Atal sponsered FDP on “Cybersecurity for Industry 4.0″at RVCE,Banglore during 9/10/2023 and 14/10/2023 “Unlocking Generative AI”
- 9.
One Week AICTE–VTU Joint Teachers Training Programme on “Introduction to Python Programming & its Applications” from 13th to 17th March 2023 Organized by Visvesvaraya Technological University, Centre for PG Studies, VIAT, Muddenahalli, Chikkaballapur
- 10.
Attended AICTE Training And Learning (ATAL) Academy Blended/Hybrid FDP on “Research Avenues in Biometrics using Low Cost Devices”held at JSS SCIENCE AND TECHNOLOGY UNIVERSITY during 5th -10th December 2022 and 12th -16th December 2022
- 11.
Attended three days FDP on “Research Methodologies in Cybersecurity with Hands-On Session on Novel Tools for Model Validations” held at the Departmentof Information Science and Engineering, National Institute of Engineering, Mysuru during 28th & 30th April 2022
- 12.
Attended FDP on “Recent Trends in Computational Intelligence and Analytics” held at, RV College of Engineering, Bengaluru during 17th & 20th January 2022
- 13.
Attended two days FDP on “Webinar- IOT and Its Application” held at the Departmentof Master of Computer Applications, National Institute of Engineering, Mysuru during 29th & 30th October 2021
- 14.
Attended SDP on “Deep Learning and Its Application” held at the Departmentof Master of Computer Applications, National Institute of Engineering, Mysuru during 12th December 2021
- 15.
Attended two days pre-conference tutorial on “Machine Learning” held at the Department of Studies in Computer Science, University of Mysore, Mysuru during 28th & 29th March 2018
- 16.
Participated in “MCE Learnathon and Super Coders”, held during 1st and 2nd July, 2018 at Malnad College of Engineering, Hassan
- 17.
Attended 5 days FDP on “Recent Advances in Machine Learning”held during 17th – 21th July, 2018 at GSSSIETW, Mysore
- 18.
Attended Virtual Faculty Development program “Neural network and Deep learning using Python” ,held during 1st– 5th June, 2020 organized by school of computing and information technology, REVA University, Bengaluru
- 19.
Attended 5 days online FDP on “Computer Science and Biology” held during 19th-23rd Jan,2021 at Malnad College of Engine
- 1.
The project titled “Fruit Crops Yield Estimation Using Machine Vision Technique”(2019) is selected under competitive research grant funded by TEQIP Cell, VTU, Belagavi ∙
- 2.
The work titled “Yield Estimation of Fruit Crops”(2020) holds Copyrights under The Registrar of Copyrights, Copyright Office, Boudhik Sampada Bhawan, Plot No. 32 Sector 14, Dwarka, New Delhi-110075
Time Table Coordinator
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Student Mentor
NAAC
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Mini project Coordinator
Admission Coordinator
Class Teacher 5th Semester
- 1.
Department Library Coordinator
- 2.
Department Sports/Cultural Coordinator
- 3.
Department Member Secretary