Dr. Neethi M V

Assistant  Professor

                                                                                                                                    

Education 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.

Professional Experience

• Teaching Experience – 4 Years

• 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 

Email ID	neethimv_cd@atme.edu.in
LinkedIn ID	https://www.linkedin.com/in/neethi-mv
Google Scholor  ID	https://scholar.google.com/citations?user=EX0vjDwAAAAJ&hl=en
Orcid ID	https://orchid.org/0000-0003-1570-3094
Vidwaan ID	https://vidwan.inflibnet.ac.in/profile/294472
Scopus ID	https://www.scopus.com/authid/detail.uri?authorId=57211562904

 

Publication Details

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.

MEMBERSHIP IN PROFESSIONAL BODIES

1. ISTE

International Conferences:

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..

Roles and Responsibility

• Time Table Coordinator
• Placement Coordinator
• Student Mentor

Patent, 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

FDPS/CONFERENCES/WORKSHOPS/STTP/MOOC CERTIFICATION

1. 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
2. Attended three days offline FDP on “Unlocking Generative AI” during 10th -12th February 2025 at ATMECE,Mysuru
3. Attended three days offline FDP on ““Inculcating Universal Human Values in Technical Education” during 2nd -4th November 2023 at ATMECE,Mysuru
4. 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”
5. 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
6. 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
7. 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
8. Attended FDP on “Recent Trends in Computational Intelligence and Analytics” held at, RV College of Engineering, Bengaluru during 17th & 20th January 2022
9. 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
10. 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
11. 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
12. Participated in “MCE Learnathon and Super Coders”, held during 1st and 2nd July, 2018 at Malnad College of Engineering, Hassan
13. Attended 5 days FDP on “Recent Advances in Machine Learning”held during 17th – 21th July, 2018 at GSSSIETW, Mysore
14. 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
15. Attended 5 days online FDP on “Computer Science and Biology” held during 19th-23rd Jan,2021 at Malnad College of Engine

 

PROPOSAL/FUNDING/PROJECT FINANCIAL ASSISTANCE

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

ROLES AND RESPONSIBILITIES: INSTITUTE LEVEL

1. NAAC
2. QS-I-Gauge memeber

ROLES AND RESPONSIBILITIES: DEPARTMENT LEVEL

1. Academic Coordinator (Time table/workload/class monitoring)
2. Mini project Coordinator
3. Admission Coordinator
4. Department Library Coordinator
5. Department Sports/Cultural Coordinator
6. Department Member Secretary
7. Class Teacher 5th Semester