Anil B. Gavade

About

Anil B. Gavade obtained his Bachelor of Engineering in Instrumentation Engineering from Karnataka University, Dharwad, in 2000 and Master of Technology in Digital Electronics in 2005. He obtained PhD in Electrical and Electronics Engineering with emphasis on Geoinformatic Artificial Intelligence in Visvesvaraya Technological University, Belagavi. He is currently an Associate Professor at the Department of Electronics and Communication, KLS Gogte Institute of Technology, Belagavi, Karnataka, India. He has published a number of papers in journals, International, and National conferences. His broad areas of research include Video and Image Processing, Pattern Recognition, Artificial Intelligence, and Machine Learning.

Employment

• Gogte Institute of Technology (KLS GIT) Associate Professor
  2007 - Present
• BV Bhoomaraddi College of Engineering and Technology Lecturer
  2002 - 2003
• Dhanashree Industries Design Engineer
  2001 - 2002

Education

• Visvesvaraya Technological University Ph.D
  2013 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• Refining emotion recognition: Attention-enhanced deep neural networks for facial analysis
  Franklin Open 2026 DOI: 10.1016/j.fraope.2026.100603
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• Video emotion analysis: Segmentation, classification, and explainability techniques in review
  Franklin Open 2026 DOI: 10.1016/j.fraope.2026.100604
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• A review on innovations in prostate cancer diagnosis: automated techniques for gleason score estimation via mpMRI and DWSI imaging
  International Journal on Smart Sensing and Intelligent Systems 2026 DOI: 10.2478/ijssis-2026-0001
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• A survey on video emotion recognition: Segmentation, classification, and explainable AI techniques
  Signal Processing Image Communication 2026 DOI: 10.1016/j.image.2025.117442
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• F-Net: A Hybrid Explainable Convolutional Neural Network for Classification of Bleached and Healthy Coral Reefs
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2026 DOI: 10.1109/JSTARS.2026.3688427
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• Hierarchical Multi-Scale Attention Framework with Heterogeneous Deep Network Fusion for Robust Facial Emotion Recognition
  Signal Image and Video Processing 2026 DOI: 10.1007/s11760-026-05344-z
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• Artificial intelligence for emotion recognition: Techniques, trends, and challenges
  Franklin Open 2026 DOI: 10.1016/j.fraope.2026.100706
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• Artificial intelligence in prostate cancer diagnosis: A systematic review of advances in gleason grade and PI-RADS classification
  Imaging 2025 DOI: 10.1556/1647.2025.00325
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• Deep-learning techniques for cancer detection using histopathological images
  Iot Wsn Dt Based Medical Systems and Nanotechnology for Smart Cancer Care 2025 DOI: 10.1016/B978-0-443-33984-4.00035-3
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• Explainable AI in Transforming Land Use Land Cover Classification
  2025 DOI: 10.1007/978-3-031-75968-0_18
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