Ejaz Ahmad Khera
Papers
1
Total Citations
3
H-Index
1
About
Dr. Ejaz Ahmad Khera is a researcher at the forefront of computer vision and biometric security, with a particular focus on developing robust, real-world solutions for face spoofing detection. His work addresses a critical vulnerability in modern authentication systems, where malicious actors attempt to deceive facial recognition technology using photographs, videos, or masks. In his highly cited 2023 paper, "A Novel Face Spoofing Detection Using Handcrafted MobileNet," Dr. Khera introduced an innovative approach that leverages the efficiency of the MobileNet architecture combined with handcrafted feature extraction. This hybrid method is designed to be both computationally lightweight and highly accurate, making it ideal for deployment on resource-constrained devices like smartphones and embedded systems used in human-robot communication, business security, and hospitality services. His research fills a crucial gap by providing a more robust analysis than previous supervised and unsupervised techniques. With 3 citations already, this work is gaining traction as a foundational reference for next-generation anti-spoofing systems, positioning Dr. Khera as a rising expert in making biometric authentication safer and more accessible across diverse applications.
Research Focus
Key Achievements
Top Papers
- 1A Novel Face Spoofing Detection Using hand crafted MobileNet3 citations · 2023