MR. SYAZWAN NAIM BIN IBRAHIM

SYAZWAN NAIM IBRAHIM is a lecturer at Department of Arabic Language and Middle Eastern Languages, Faculty of Languages and Linguistics, Universiti Malaya, Malaysia. He attained his bachelor’s degree in Arabic Language and Linguistics from Cadi Ayyad University, Morocco, in 2019 and was awarded the Best Student title. Subsequently, he pursued a Master of Arts (Linguistics) at Universiti Malaya focusing on the pragmatics of implicature in the Quran. He is currently a Doctor of Philosophy (PhD) candidate at Universiti Sains Malaysia, specialising in interpreting studies. His research explores how interpreters manage (im)politeness in Arabic-English simultaneous interpreting, examining shifts in (im)politeness strategies under cognitive constraints. Situated at the intersection of pragmatics, interpreting studies, cognitive linguistics, and cognitive psychology, his work sheds light on the interplay between linguistic (im)politeness, cross-cultural mediation, and the real-time cognitive demands of interpreting.   He has taught many undergraduate level courses and is always interested in developing Arabic language mastery among students, especially in writing and speaking skills. He welcomes insights most notably from language service providers and other stakeholders in the translation and interpreting industry, to conduct research projects related to translation and interpreting ethics and practices, translator and interpreter training, as well as discourse in translation and interpreting. Furthermore, he is a certified translator at the Institut Terjemahan & Buku Malaysia (ITBM; Malaysian Institute of Translation & Books) and has done a great deal of translating, editing, and proofreading of theses, books, and articles. He has served as a bureau member of research, development, and publication in the Al-Arabiyyah organization. He is currently active in contributing creative writing to The Chronicles, a biannual academic magazine published by Universiti Teknologi MARA Terengganu. 

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PROF. DR. ROHAIDA BINTI MOHD SAAT

Dr Rohaida Mohd. Saat is an honorary professor at the Department of Mathematics and Science Education, Faculty of Education, University of Malaya. She was the former dean at the faculty and before that, she was the Head of Quality Assurance and Accreditation Unit, Quality Management Enhancement Centre (QMEC), University of Malaya.  She received her Bachelor Degree and Master’s degree from Indiana University, USA and PhD degree from Universiti Putra Malaysia. She also holds a certificate in Qualitative Research Methods from The University of Georgia, USA. Her area of specialization and research is in science education, teacher education and qualitative research methodology. She headed several research projects in the area of science education, funded by various agencies. She has authored and co-authored several books, articles and research reports in the area of science education and education in general.  She has also served as Editorial Boards of Eurasia Journal of Science, Mathematics and Technology Education, European Journal of STEM Education and Journal of Science and Mathematics in Southeast Asia. She has served the Ministry of Higher Education Malaysia (MOHE) as a MyRA Auditor and on the panel of evaluators for MOHE research grants. She is a trained ISO auditor and the ASEAN University Network Quality Assurance (AUNQA) lead academic programme assessor.

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DR. CHAN CHOW KHUEN

Firstly, I am Chan Chow Khuen, a researcher and lecturer from Biomedical Engineering Department, Universiti Malaya. I have graduated the PhD study from National University of Singapore with the focus on Computer Modelling and Simulation for Human Biomechanics. The current research area is artificial intelligence in biomechanics with the focus on machine learning and deep learning with the big dataset particularly with the biosignal from human. Some of the biosignals are electromyography (EMG), EEG (electroencephalogram), TCD (transcranial Doppler) and also medical images. On top of that, we develop computer algorithms for deep learning in facilitating the medical practitioners to expedite and detect abnormalities regarding to human health. Dr. Chan has interests and currently developing on the human pose estimation using portable modern technologies. 

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