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Home/ Staff A–Z/ Nivedita Kasturi
Nivedita Kasturi
Teaching

Nivedita Kasturi

Assistant Professor

Computer Science EC Campus niveditak@pes.edu +91 80 6618 6610
Email
3
Research Areas
20
Publications
2
Courses Taught
2
Qualifications
4
Roles Held
2
Achievements

About

A dedicated Computer Science and Engineering professional with a Ph.D. from KLE Technological University, School of Computer Science and Engineering (2025), 11 years of teaching experience, and 2 years of industry experience. Proficient in C#, ASP.NET, WPF, and database programming, with expertise in teaching, software development, academic coordination, and research. Qualified in the Karnataka State Eligibility Test (K-SET) in 2016. Committed to academic excellence, student mentoring, research innovation, and contributing to institutional growth.

Research Areas

3
Analytics on Agritech
  • Agriculture Application Domain
Research Guidance
  • Machine learning and social network analysis
Research Interest
  • Data analytics ans social network analysis

Publications

20
2
  • Goldina Ghosh, C Akki, Nivedita Kasturi ‘A PSO based investigation of research fields of researchers’, has been published in Kybernetes, Vol. 49 No. 6, pp. 1767-1782. https://doi.org/10.1108/K-03-2019-0160
  • Nivedita Kasturi, S G Totad and Geeta R B, “Transfer Learning Approaches for Emergency Event Detection Through Crowd sourced Social Media Imagery”, JICRCR, pp. 1027–1035, Dec. 2024.
  • Kasturi, N., Guruputra Totad, S., & Ghosh, G. (2024). Leveraging multimodal deep learning for natural disaster event classification and its damage severity analysis through social media posts. IAES International Journal of Artificial Intelligence (IJ-AI), 13(4), 4766-4777. http://doi.org/10.11591/ijai.v13.i4.pp4766-4777
3
  • N. Kasturi, S. G. Totad and G. Ghosh,(2023) "Research Approaches for Building Analytics in Social Network towards Crowdsourcing," 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), Lonavla, India, 2023, pp. 1-7, doi: 10.1109/I2CT57861.2023.10126479.
  • B. Tejaswini, K. Ankitha, T. S. S. Nag, V. J. Gowda and N. Kasturi, "Eco-Defender: Detection of Aphids Using YOLOV5 Model and Their Eradication Using a Precise Laser Equipped on an Autonomous rover," 2025 9th International Symposium on Innovative Approaches in Smart Technologies (ISAS), Gaziantep, Turkiye, 2025, pp. 1-5, doi: 10.1109/ISAS66241.2025.11101799.
  • Arunvenkat, C.A., Ashutosh, Routray, A., D’Souza, C., Kasturi, N. (2025). Multi-variant Facial Age Progression Using GANs Variated by Genetic Algorithm and Generative AI. ERCICA 2024. Lecture Notes in Electrical Engineering, vol 1398. Springer, Singapore. https://doi.org/10.1007/978-981-96-4679-1_5
  • V. Padoor, T. K. P, Y. L. K. Pani, V. Bhalke and N. Kasturi, "Intelligent Feedback Analytics- Sentiment Analysis and Defect Detection in Elevating Product Quality and Customer Experience," 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2025, pp. 954-959, doi: 10.1109/ICCSP64183.2025.11088646
  • R, Pratham Prabal and Holla, Nishan and Aravind, Nandana and D’Mello, Nishanth and TR, Dr. Prajwala and Kasturi, Prof. Nivedita, NexGen Farming: AI-Driven Agriculture with GAN, Crop Selection, Predictive Irrigation, Fertilizer Planning, and Crop Monitoring (January 21, 2025). Available at SSRN: https://ssrn.com/abstract=5106270 or http://dx.doi.org/10.2139/ssrn.5106270
  • Bisleri, A.P., Kumar, A.S., Bhargav, A.A., Varun, S., Kasturi, N. (2023). Size Matters: Exploring the Impact of Model Architecture and Dataset Size on Semantic Segmentation of Abdominal Wall Muscles in CT Scans. ICICCT 2023. Lecture Notes in Networks and Systems, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-99-5166-6_42
  • Bosco, J., Yavagal, L., Srinivas, L.T., Katabatthina, M.K., Kasturi, N. (2023). Detection of Natural Disasters Using Machine Learning and Computer Vision by Replacing the Need of Sensors. ICICCT 2023. Lecture Notes in Networks and Systems, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-99-5166-6_50
  • Kasturi, N., Totad, S.G., Ghosh, G. (2023). Analysis on Potential Use of Crowdsourcing in Different Domain Using Metasynthesis. Lecture Notes in Networks and Systems, vol 491. Springer, Singapore. https://doi.org/10.1007/978-981-19-4193-1_73
  • Yogadisha, S., Sumukh, R.R., Manas Shetty, V., Rahul Reddy, K., Kasturi, N. (2023). Facial Recognition to Detect Mood and Play Songs Using Machine Intelligence.Lecture Notes in Networks and Systems, vol 490. Springer, Singapore. https://doi.org/10.1007/978-981-19-4052-1_13
  • Kasturi, N., Geeta, R.B., Ghosh, G., Totad, S.G. (2022). Feasibility Study of Software Engineering Aspects of Bigdata Analytics Applications for Academicians. In: Tavares, J.M.R.S., Dutta, P., Dutta, S., Samanta, D. (eds) Cyber Intelligence and Information Retrieval. Lecture Notes in Networks and Systems, vol 291. Springer, Singapore. https://doi.org/10.1007/978-981-16-4284-5_41
Conferences
  • Nivedita Kasturi,S G Totad, Goldina Ghosh, Geeta R B (2021) " Feasibility Study of Software Engineering aspects of bigdata Analytics Applications" CIIR 2021.
  • Praneetha Bose Kollipara ,Goldina Ghosh, Nivedita Kasturi ,?Selecting Project Team Members Through MBTI Method: An Investigation with Homophily and Behavioural Analysis, has been accepted and presented in Second International Conference on Advanced Computational and Communication Paradigms (ICACCP),2019 on 25-28 Feb 2019
  • Goldina Ghosh, Nivedita Kasturi, �Expansion of Social Connectivity: a concept of Big Data Analysis and Genetic Algorithm Modeling�, has been published in Information and Communication Technology (CICT), 2017 Conference on 3-5 Nov. 2017, DOI: 10.1109/INFOCOMTECH.2017.8340584, Publisher: IEEE
Journals
  • Goldina Ghosh, C Akki, Nivedita Kasturi ?A PSO based investigation of research fields of researchers?, has been published in Kybernetes, Vol. 49 No. 6, pp. 1767-1782. https://doi.org/10.1108/K-03-2019-0160
  • Nivedita Kasturi,S G Totad, An Advanced Greedy Storage & Multi-Cloud Based Public Auditing Mechanism Integrating Data Risk Management? , has been published in International Journal of Engineering Research & Technology (IJERT), Vol. 8 Issue 04, April-2019, ISSN: 2278-0181.
  • Survey: Designing Curriculum For Outcome Based Education" and have been accepted for publication with IJSRP Volume 7, Issue 3, March 2017 Edition. ISSN 2250-3153.
Others
  • Context Aware Algorithms, technical paper, Osmosis, technical festival, Mind tree, Bangalore, Jan, 2011

Teaching

2
Python, oop with java, ERP, DBMSOperating Systems, Database and Object Oriented Analysis and Design

Education

2
  • Ph.D
    KLE Technological University
    2025
  • Mtech in computer science and engineering
    BVBCET hubli
    2014

Experience

4
  • Assistant professor
    Pesit Ec
    2018 – 2019
  • Assistant professor
    IIIT Dharwad
    2017 – 2018
  • Assistant professor
    Kle DrMSSCET Belagavi
    2015 – 2017
  • Assistant professor
    Mitm sindudurga
    2014 – 2015

Achievements

2
  • Qualified Kset exam
  • Received IRF(internal research fund) for project MilletNet Data.

Responsibilities

2
  • Handling classes for 6th semester students and guided vtu projects and capstone projects
  • Guiding the 5th and 7th semester students in their project and internships. With academic work I am also a coordinator for Capstone Projects and teacher for 3rd semester. Part of the Center for Data Analytics, Visualization and Modelling.

Campus

EC Campus