Muzammil Behzad 교수 연구 프로필
소개
킹파드 석유광물대학교 정보컴퓨터과학과 소속 Muzammil Behzad 교수의 등록된 연구 분야는 Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Vision-Language Models, Generative AI, Human-Computer Interaction, AI for Healthcare, Affective Computing입니다.
연구 키워드
같은 학과의 다른 연구실
- Ahmed Al-Herz 교수 연구실
Graph Algorithms, Approximation Algorithms, Parallel Algorithms
- Amal Alghamdi 교수 연구실
Computational Science, Inverse Problems, Uncertainty Quantification, Numerical Methods, Partial Differential Equations (PDEs), Mathematical Modelling, High-Performance Computing, Bayesian Inference, Optimization
- Amir Hussain 교수 연구실
Cognitive and Trustworthy AI, Causal, Multimodal, Neuro-Symbolic AI, AI Policy, Regulation and Standards, Healthcare and Assistive Technologies, Critical Infrastructure and Industrial AI Systems
- El-Sayed Mohamed El-Alfy 교수 연구실
Artificial Intelligence, Machine & Deep Learning, Federated & Multimodal Learning, Computer Vision & Biometrics, Edge and Cloud Intelligence, Cybersecurity & Networking
- Fakhri Alam Khan 교수 연구실
Information Security, AI in Healthcare, Distributed Systems Security, Machine Learning
- Farag Ahmed Azzedin 교수 연구실
Cybersecurity, Trust Management, Digital Twins, Operating Systems Security, Networking Security Protocols