Head of Programme Software Engineering (Diploma)

Academic Qualifications:

Ph.D (Engineering) Candidate, March 2014 to present
Universiti Malaysia Sarawak (UNIMAS), Kota Samarahan, Sarawak
Field of Study: Artificial Neural Network, Digital Signal Processing

Master of Science (Information Technology), 2013
Universiti Teknologi MARA (UiTM)

Bachelor of Information Technology (Software Engineering) Hons, 2010
Universiti Malaysia Terengganu (UMT), Terengganu

Rosli, N. and Mokhsin, M. (2013). Emotion Classification of Malay Popular Music: Exploiting Vocal and Instrumental Sound Features, 2013 IEEE Symposium on Business, Engineering & Industrial Applications (ISBEIA 2013), 22-24 September 2013, Pullman Hotel, Kuching Sarawak.

Rosli, N., Misron, M.M., Manaf, N.A. and Halim, H.A. (2014). Music emotion classification (MEC): exploiting vocal and instrumental sound features. In Recent Advances on Soft Computing and Data Mining, Springer, Cham, pp. 539-549.

Rosli,N., Mokhsin,M. , NA Manaf, HA Halim (2014). Music Emotion Classification (MEC): Fuzzy and Neural Network Approach, Recent Advances on Soft Computing and Data Mining, Advances in Intelligent Systems and Computing Volume 287, pp. 539-549.

Rosli, N.B., Mokhsin, M.B., Adnan, W.A.W. and Manaf, N.A. (2014). Automatic music emotion classification using artificial neural network based on vocal and instrumental sound timbres. In SoMeT, pp. 3-14.

Rosli, N., Rajaee, N. and Bong, D. (2016). Non Negative Matrix Factorization for Music Emotion Classification. In Advances in Machine Learning and Signal Processing, Springer, Cham, pp. 175-185.

Rosli, N., Rajaee, N. and Bong, D. (2018). Renica Based Music Source Separation for Automatic Music Emotion Classification. International Journal of Innovative Computing Information and Control, 14(6), pp. 2325-2333.

Rosli, N. and Rajaee, N. (2018). Influence of Guided Particle Swarm Optimization in Automatic Music Emotion Recognition: A Comparative Study Using Different ANN Architectures. International Journal of Applied Engineering Research, 13(12), pp. 10672-10676.

Best Poster Presentation for UNIMAS –CURTIN Faculty of Engineering Colloquium 2015.