Dr. Allah Bux Sargano is a Postdoctoral Research Fellow in Computer Vision at the University of Bergen. His research focuses on artificial intelligence, computer vision, machine learning, deep learning, image processing, multimodal visual analysis, explainable AI, medical imaging AI, 3D reconstruction, and sign-language video analysis.

He holds a PhD in Computer Science from Lancaster University, United Kingdom, where his doctoral research focused on vision-based human action recognition using machine learning techniques. He has more than 17 years of university-level experience in teaching, supervision, research, curriculum development, and academic service.

At the University of Bergen, Dr. Sargano contributes to the ERC-funded NON-MANUAL project. His work involves the development and evaluation of computer-vision and AI-based methods for analysing facial expressions, head movements, eye blinks, body movements, and other non-manual markers in sign-language videos.

Research

Dr. Sargano’s research is centred on the development of intelligent visual systems that can analyse, interpret, and evaluate complex visual and multimodal data. His work focuses on AI models that are robust, explainable, reproducible, and useful for real-world applications.

His current research at the University of Bergen focuses on computer vision for sign-language analysis. In the NON-MANUAL project, he works on methods for detecting and analysing non-manual signals in sign-language videos, including head pose, facial movement, eye blinks, and body-related visual features. This work combines computer vision, deep learning, multimodal data analysis, linguistics, and empirical evaluation.

His broader research covers human activity recognition, video understanding, anomaly detection, surveillance analytics, medical-image classification and segmentation, hyperspectral image classification, multimodal emotion and sentiment analysis, and single-view 3D reconstruction. Across these areas, his research emphasises careful experimental design, robust model development, reproducibility, and practical relevance.

Dr. Sargano has published in international journals and conferences in artificial intelligence, computer vision, image processing, multimedia analysis, medical AI, hyperspectral imaging, and visual recognition. His research aims to contribute to reliable AI systems that support human interpretation, decision-making, and interdisciplinary research.

Research interests

• Artificial intelligence and machine learning
• Computer vision and image processing
• Deep learning and explainable AI
• Multimodal visual analysis
• Sign-language video analysis
• Human activity and action recognition
• Head-pose estimation and blink detection
• Medical imaging AI
• 3D reconstruction and depth estimation
• Hyperspectral image classification
• Video surveillance and anomaly detection
• Robust and trustworthy intelligent systems

Teaching

Dr. Sargano has more than 17 years of teaching experience in computer science and artificial intelligence at undergraduate and postgraduate levels. He has taught courses in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Image Processing, Advanced Topics in Neural Networks, Programming, Object-Oriented Programming, Data Structures, Software Engineering, and Operating Systems.

At the University of Bergen, he has contributed to interdisciplinary teaching related to computational linguistics modelling and language-and-computing topics. This experience has strengthened his ability to communicate technical AI and computer-vision concepts to students from different academic backgrounds.

Supervision

Dr. Sargano has supervised and co-supervised students at bachelor’s, master’s, and PhD levels in artificial intelligence, machine learning, computer vision, image processing, medical AI, video analytics, anomaly detection, human activity recognition, 3D reconstruction, and multimodal learning.

His supervision approach combines structured guidance with gradual student independence. He supports students in defining research questions, reviewing literature, selecting suitable methods, designing experiments, analysing results, and developing clear scientific writing. His supervision places strong emphasis on methodological rigour, reproducible research, critical thinking, and publication-quality work.

Projects

NON-MANUAL project

Dr. Sargano currently contributes to the ERC-funded NON-MANUAL project at the University of Bergen. The project investigates facial expressions, head movements, body movements, and other non-manual markers across different sign languages. His role focuses on computer vision and AI-based analysis of sign-language video data, including dataset preparation, visual feature extraction, head-pose estimation, blink detection, model evaluation, and multimodal analysis.

Academic service

Dr. Sargano has contributed to academic service through journal reviewing, conference reviewing, curriculum development, quality assurance, accreditation work, graduate committees, teaching coordination, and programme-level administration. He has also supported students and early-career researchers in research design, experimentation, thesis development, and scientific writing.

Links

Google Scholar: https://scholar.google.com/citations?user=AA6T98kAAAAJ&hl=en

NON-MANUAL project: https://www4.uib.no/en/research/research-projects/nonmanual

LING310 24H / Computational Linguistic Modeling and Application - Fall 2024

LING123 / Language and Computers (https://www4.uib.no/en/studies/courses/ling123) -Spring 2025

Nonmanual | University of Bergen (uib.no)