معرفی
Javier Ruiz Atencia is a PartTime Lecturer in the Department of Computer Engineering at Miguel Hernández University of Elche, specializing in Computer Architecture and Telecommunications Technology. He teaches courses including Operating Systems, Programming Languages, and Network Architecture.
- Current academic appointments at UMH
- Teaching responsibilities across multiple engineering programs
- Active research in video coding and perceptual quality optimization
- Technical expertise in HEVC/VVC standards and neural network applications
Research focus centers on perceptual video coding techniques that leverage human visual system characteristics. His work explores:
- Hybrid contrast & texture masking models
- QP optimization algorithms
- Rate-distortion performance analysis
- Next-generation video compression strategies
- Perceptual quality assessment frameworks
Technical Contributions include development of HEVC intra prediction emulators and network architecture implementations. Current projects focus on integrating dual hybrid neural networks for improved VVC encoding efficiency.
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