Dr. Sathish Kumar

About

Completed Ph.D. in Computer Science at the Rani Channamma University Belagavi, Karnataka, India.

-> Received Bachelor's Degree in 2015 and MSc (Computer Science) in 2017 from the Rani Channamma University, Belagavi, Karnataka, India.

-> Research interests include image processing and pattern recognition, medical image processing, Biometric Data analysis, computer vision, and machine learning techniques.

Employment

• Amity University Bengaluru Assistant Professor
  2025 - Present
• Rani Channamma University, Belagavi Teaching Assistant
  2024 - 2025
• Sri Kalidasa Education Society's, Sri. M. H. Yamanal Arts and Sri. G. Shankargouda and Sri. G. Sarojamma Commerce College Computer Science Lecturer
  2018 - 2019

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Automated Segmentation and Trimester-Based Classification of Fetal Head Circumference in Ultrasound Images Using Deep Learning Techniques
  International Journal of Pattern Recognition and Artificial Intelligence 2026 DOI: 10.1142/S021800142552038X
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• Deep Learning Techniques for a Comprehensive Analysis of Fetal Biometric Parameters Across Trimesters
  Transactions on Machine Learning and Artificial Intelligence 2024 DOI: 10.14738/tecs.123.16985
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• Fingerprint Image Fusion: A Cutting-edge Perspective on Gender Classification via Rotational Invariant Features
  International Journal of Image, Graphics and Signal Processing 2024 DOI: 10.5815/ijigsp.2024.04.04
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• MuBDA: Multimodal Biometric Data Analysis for Gender Classification Using Deep Learning Techniques
  2024 DOI: 10.1007/978-981-97-3601-0_17
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• Quantitative Analysis of Biofield Energy Imbalance Through Color Segmentation and Classification Using Machine Learning Techniques
  2024 IEEE 9th International Conference for Convergence in Technology, I2CT 2024 2024 DOI: 10.1109/I2CT61223.2024.10543817
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• Offline Handwritten Signature Analysis for Age Classification using Deep Features
  2023 4th International Conference for Emerging Technology (INCET) 2023 DOI: 10.1109/incet57972.2023.10170459
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• Gender Classification from Behavioural Biometric Data using Convolutional Neural Network
  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_49
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• Survey on Handwritten Signature Biometric Data Analysis for Assessment of Neurological Disorder using Machine Learning Techniques
  Transactions on Machine Learning and Artificial Intelligence 2022 DOI: 10.14738/tmlai.102.12210
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• Gender Classification Based on Online Signature Features using Machine Learning Techniques
  International Journal of Intelligent Systems and Applications in Engineering 2022
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• Handwritten Signature Biometric Data Analysis for Personality Prediction System Using Machine Learning Techniques
  Transactions on Machine Learning and Artificial Intelligence 2021 DOI: 10.14738/tmlai.95.10808
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