Iris and Periocular Recognition using Deep Learning

Dr. Ajay is an Associate Professor in the Mechanical Engineering Department at JECRC University, India. He received his Ph.D. in the field of advanced manufacturing from Guru Jambheshwar University of Science & Technology, India, after B.Tech. (Hons.) in mechanical engineering and M.Tech. (Distinction) in manufacturing and automation. His research spans incremental sheet forming, artificial intelligence, sustainable materials, additive manufacturing, mechatronics, smart manufacturing, industry 4.0, waste management, and optimization techniques. He has organized international conferences and holds more than 20 patents. With 15 years of teaching and research experience, Dr. Ajay is a Guest Editor for Frontiers in Sustainability and actively contributes to conferences and symposiums. Recognized with merit and best teacher awards, he advises the QCFI, Delhi Chapter student cell at JECRC University, and has played a key role in various academic and professional initiatives.

1. Advances in Iris and Ocular Recognition: An Insight into Trends 2. Unlocking the Full Potential of Iris Recognition with Deep Learning 3. Real-Time Online Framework for Accurate Detection, Segmentation, and Recognition of Irises 4. Enhancing Iris Recognition Accuracy through Dilated Residual Features 5. Iris Recognition with Deep Learning Across Spectrums 6. Semantics-Assisted Convolutional Neural Network for Accurate Periocular Recognition 7. Deep Neural Network with Focused Attention on Critical Periocular Regions 8. Dynamic Iris Recognition through Multi-Feature Collaboration 9. Position-Specific Convolutional Neural Network to Accurately Match Iris and Periocular Images 10. Securing the Metaverse with Egocentric Iris Recognition via AR/VR/MR Devices 11. Inference and Future Pathways: Reflections and Exploration of New Horizons