Dr. Bhuvaneshwari Patil

About

Self-motivated academician with 18+ years of academic and industry experience. Skilled in teaching, mentoring, curriculum design, and applied research with patents, Scopus‑indexed publications, and a published book. Experienced in accreditation processes, faculty development, and integrating emerging technologies to drive student success.

Employment

• Presidency University ASSISTANT PROFESSOR
  2022 - Present

Education

• Gulbarga University Ph.D
  2017 - 2026
• Nitte Meenakshi Institute of Technology MTech
  2009 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Facial Texture Features for Age Classification
  2025 DOI: 10.1007/978-981-96-8441-0_16
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• Hybrid Feature Selection for Intrusion Detection Systems using Pearson Correlation and Boruta-LGBM Algorithm
  Proceedings 2025 IEEE 1st International Conference on Smart Innovations in Systems Infrastructure Mechanical Power AI and Computing Technologies Sisimpact 2025 2025 DOI: 10.1109/SISIMPACT67725.2025.11439128
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• AUTOMATED DETECTION OF EPILEPTIC SEIZURE USING FBSE-EWT METHOD FROM EEG SIGNALS
  Missouri Journal of Mathematical Sciences 2024 DOI: 10.35834/2024/3601018
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• REGRESSION AND CLASSIFICATION MODELS FOR HUMAN AGE PREDICTION
  Jurnal Ilmiah Ilmu Terapan Universitas Jambi 2024 DOI: 10.22437/jiituj.v8i2.32505
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• Gender Prediction Using Iris Features
  Lecture Notes in Electrical Engineering 2023 DOI: 10.1007/978-981-19-5482-5_50
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• Human Age Estimation using Face Features
  2023 International Conference on New Frontiers in Communication Automation Management and Security Iccams 2023 2023 DOI: 10.1109/ICCAMS60113.2023.10526081
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• Pre-trained Convolutional Neural Networks for Gender Classification
  Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022) 2023 DOI: 10.2991/978-94-6463-196-8_25
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• Portable IoT based health monitoring system
  International Journal of Advance Research, IDEAS and Innovations in Technology 2020
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• A comparative analysis of image fusion methods using texture
  Lecture Notes in Electrical Engineering 2013 DOI: 10.1007/978-81-322-0997-3_31
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