Naser Jawas

Naser Jawas

Assistant Professor in Computer Science

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Pages

Posts

Teaching at FACE-IT 2026

I taught four online sessions in FACE-IT 2026: Deep Learning and AI for Images, an international online course hosted by the Faculty of Computer Science, Universitas Brawijaya, for students from around the world. My sessions covered classical visual recognition, dataset engineering and preprocessing, object detection, and image segmentation.

Promoted to Assistant Professor

I was promoted to Assistant Professor in Computer Science at the Department of Informatics, Faculty of Computer Science, Universitas Brawijaya.

AITF Tutor for the Third Batch

I have once again joined the Artificial Intelligence Talent Factory (AITF) as a tutor, this time for the programme’s third batch. My team is developing an AI-powered CCTV monitoring system for Sekolah Rakyat (People’s Schools). The system automatically detects inappropriate behaviour, such as physical violence (punching and kicking), smoking, and inappropriate physical contact between students, to help create a safer school environment.

AITF Tutor for the Second Batch

I joined the second batch of the Artificial Intelligence Talent Factory (AITF) as a tutor. The programme was initiated by the Ministry of Communication and Digital Affairs of the Republic of Indonesia and co-organised with Universitas Brawijaya. My team developed an AI system that uses large language models (LLMs) to classify socio-economic data.

Introduction to PyTorch Workshop

Over the last three weeks of February 2026, the Introduction to PyTorch Workshop was held at the Faculty of Computer Science, Universitas Brawijaya. I was one of the three speakers and led two of the three days. The hands-on sessions covered all the essential steps in building an AI model, from preparing the data to training, testing, and optimising the model.

Joins Universitas Brawijaya

I joined the Department of Informatics, Faculty of Computer Science, Universitas Brawijaya, as a lecturer.

Officially a PhD

I was officially awarded my PhD in Engineering by the University of Warwick.

Revised Thesis Submitted

The examiner approved all of my thesis corrections, and I submitted the final version of my thesis to the Doctoral College.

Joins Universitas Muhammadiyah Malang

I joined the Department of Informatics, Faculty of Engineering, Universitas Muhammadiyah Malang, as an adjunct lecturer. In my first semester, I taught Artificial Intelligence, Advanced Programming, and Mobile Application Programming.

PhD Viva

I passed my PhD viva at the University of Warwick.

Postgraduate Symposium 2021

I presented a poster on my research into a hand-tracking algorithm for sign language recognition at the School of Engineering Postgraduate Symposium 2021.

New Website

I launched my first personal website.

portfolio

publications

Automatic Sign Language Recognition Using Colour Image Representation of Dense Optical Flow and Multi-Cluster Optical Flow Map

Published in PhD thesis, School of Engineering, University of Warwick, 2024

PhD thesis on automatic sign language recognition from standard RGB video, covering a two-hand tracking algorithm and a recognition system built on a multi-cluster optical flow map.

Recommended citation: Jawas, N. (2024). "Automatic Sign Language Recognition Using Colour Image Representation of Dense Optical Flow and Multi-Cluster Optical Flow Map." PhD thesis, University of Warwick. https://wrap.warwick.ac.uk/id/eprint/190559/
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Unsupervised Hand Tracking for Sign Language Recognition via Optical Flow and Previous Tracking Data

Published in IEEE Access, 2026

An unsupervised, model-free hand tracking framework for sign language recognition that uses dense optical flow and temporal consistency, requiring no training data.

Recommended citation: Jawas, N., & Tjahjadi, T. (2026). "Unsupervised Hand Tracking for Sign Language Recognition via Optical Flow and Previous Tracking Data." IEEE Access, 14, 30125–30142. https://doi.org/10.1109/ACCESS.2026.3667503
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A Combined Method of Data-Driven Structural Damage Classification by Using Acceleration Data

Published in Machine and Computing Technologies for Sustainable Development (MCT4SD 2025), 2026

A combined data-driven method for classifying structural damage from acceleration data.

Recommended citation: Adha, A., Kurniawan, M., Syarif, F., Wardana, I. N. K., Jawas, N., Harmiyati, & Laory, I. (2026). "A Combined Method of Data-Driven Structural Damage Classification by Using Acceleration Data." In B. Tafuri, S. Kumar, & A. Joshi (Eds.), Machine and Computing Technologies for Sustainable Development: Proceedings of MCT4SD 2025, Volume 3 (pp. 377–386). Lecture Notes in Networks and Systems. Springer, Cham. https://doi.org/10.1007/978-3-032-23716-3_35
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Revisiting ST-GCN Design Choices for Skeleton-Based Continuous Sign Language Recognition

Published in Brawijaya International Conference (BIC) 2026 (accepted), 2026

Accepted for presentation at the Brawijaya International Conference (BIC) 2026.

Recommended citation: Jawas, N. (2026). "Revisiting ST-GCN Design Choices for Skeleton-Based Continuous Sign Language Recognition." Brawijaya International Conference (BIC) 2026, Kuala Lumpur, Malaysia. Accepted.

talks

Environment Setup, PyTorch Overview, Dataset and DataLoader

This was the first day of the Introduction to PyTorch Workshop at the Faculty of Computer Science (FILKOM), Universitas Brawijaya. The workshop ran over three Fridays starting on 13 February 2026, and I led two of the three days.

Writing Models, Training and Testing

This was the second day of the Introduction to PyTorch Workshop at the Faculty of Computer Science (FILKOM), Universitas Brawijaya. The workshop ran over three Fridays starting on 13 February 2026, and I led two of the three days.

Object Detection

I was invited to teach Session 8 (Object Detection) of the Nalara Academy online course.

Image Segmentation

I was invited to teach Session 9 (Image Segmentation) of the Nalara Academy online course.

teaching