معرفی
Dr. Naseer Al-Jawad is a Senior Lecturer in Computing at the School of Computing, part of the Faculty of Computing, Law and Psychology at the University of Buckingham. He holds a BSc from Basrah University (Iraq), an MSc from Baghdad University (Iraq), and a PhD in Computer Science from the University of Buckingham (UK). His teaching spans foundational computing courses, including Data Structures, Object-Oriented Programming, and Research Methods for Postgraduates, alongside project supervision at both undergraduate and postgraduate levels.
His research interests focus on image and video processing, medical imaging (e.g., breast cancer and melanoma detection), biometric systems (face/gait recognition, Arabic handwriting analysis), and IoT-driven Smart Home systems. He has pioneered work in deep learning for video compression, fusion of audio-visual data for authentication, and steganography techniques. Recent projects include developing adaptive multi-user Smart Home frameworks and enhancing content-based video indexing with wavelet transforms.
Dr. Al-Jawad’s publications span topics like facial expression recognition using 3D Kinect data, indoor localization via smartphone networks, and secure real-time video transmission. His work emphasizes practical applications in healthcare, cybersecurity, and disaster management networks.
His academic contributions include overseeing student projects and collaborating on interdisciplinary initiatives such as UNILS (indoor localization) and sosMesh (disaster communication frameworks). He actively contributes to conferences like SPIE and MIUA, addressing challenges in multimedia processing and biomedical image analysis.
