About Me
My name is Nor Saiful Azam Bin Nor Azmi, and I am a Ph.D. candidate in the Department of Computer Science at the Kitami Institute of Technology in Kitami, Japan. As a researcher in the Text Information Processing Laboratory, my work centers on advancing deep learning architectures to identify toxic and cyberbullying content in digital media. My research bridges both unimodal and multimodal frameworks. My research interests overlap with Natural Language Processing (NLP), Multimodal Machine Learning, and Human-Computer Interaction (HCI).
Research Interests
- Multimodal Machine Learning
- Natural Language Processing (NLP)
- Hateful Content Detection
- Cyberbullying Detection
Background
- April 2015 - March 2020: Multimedia University, Bachelor of Computer Science (Honours) (Software Engineering)
- October 2021 - September 2023: Kitami Institute of Technology, Master of Engineering in Information and Communication Engineering
- October 2023 - September 2026: Kitami Institute of Technology, Ph.D in Co-Creative Engineering (Currently enrolled)
Publications & Achievements
Publication:
- Nor Saiful Azam Bin Nor Azmi, Michal Ptaszynski, Fumito Masui, Juuso Eronen, Karol Nowakowski, “Token and Part-of-Speech Fusion for Pretraining of Transformers with Application in Automatic Cyberbullying Detection”, Natural Language Processing. Feb 2025. DOI
- Nor Saiful Azam Bin Nor Azmi, Michal Ptaszynski, Fumito Masui, Abu Nowhash Chowdhury, “Why So Meme? A Comparative and Explainable Analysis of Multimodal Hateful Meme Detection”, Machine Learning and Knowledge Extraction, Feb 2026. DOI
Conferences:
- Nor Saiful Azam Bin Nor Azmi, Michal Ptaszynski, Juuso Eronen, Karol Nowakowski and Fumito Masui. Token and Part-of-Speech Fusion for Pretraining of Transformers with Application in Automatic Cyberbullying Detection. 10th Language & Technology Conference: Human Language Technologies as Challenge for Computer Science and Linguistics, The Fourth Workshop on Processing Emotion Decisions and Opinions (EDO 2023), pp. 201—205, April 21-23, Poznan, Poland.
- Nor Saiful Azam Bin Nor Azmi, Michal Ptaszynski, Fumito Masui. Seems Like Hate: An Explainable Comparison of Language Model, Vision Model and VLM on Hateful Memes. Report of the Research Group on Language Acquisition and Comprehension, Future University Hakodate, Hakodate, Hokkaido, Japan.
Links
Hobbies
Outside of my research, I enjoy playing the guitar and have a deep passion for automotive culture. I spend my free time driving, performing hands-on DIY upgrades to my car, and participating in sim racing. When I am at home, I also love cooking traditional Malaysian dishes.