Syed Abdul Rahman Al-haddad B. Syed Moha
(Assoc. Prof. Dr.)
Department of computer and Communication System Engineering
Universiti Putra Malaysia
Malaysia
Biography
ASSOC PROF. DR. SYED ABDUL RAHMAN AL-HADDAD SYED MOHAMED (A02069) Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor 1. PHD in Electrical, Electronics And System Engineering, 2011, National University Malaysia (UKM) 2. M.Sc. in Computer And Communication Systems Engineering, 2000, Universiti Putra Malaysia (UPM) 3. Degree In Computer Science (Major In Software Engineering), 1997, Universiti Teknologi Malaysia (UTM) 4. Diploma In Computer Science, 1995, Institut Teknologi Mara (ITM) 5. Associate Diploma Computer Studies, 1992, Swansea Institute of Higher Education, UK.
Research Interest
1. Speech/Voice/Sound Recognition; Spoken/Natural Language Understanding; Dialog Modelling, Animal Sound Processing, Al-Quran Sound Processing, ECG Signal
Publications
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Abdulmawla Najih, S.A.R Al-Haddad, Abd Rahman Ramli, S. J. Hashim and Asem Khmag, (2017). Face Selection for Digital Image Watermarking, International Journal of Applied Engineering Research, Research India Publications. Vol 12, number 5. (IF=0.13 Q3) (Indexed by Scopus)
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Mohammad Ali Nematollahi, S.A.R Al-Haddad, Abdul Rahman Ramli, Azhar Kassim, Shaiful Jahari Hashim, (2017). Frequency Domain Processing For Artificial Synthesis of Swiftlet's Sound Waves, Journal of Telecommunication, Electronic and Computer Engineering (JTEC), Vol 9, Issue 1-3, Page 8 - 93. (Indexed by Scopus Google Scholar)
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Asem Khmag, Abd Rahman Ramli, S. A. R. Al-Haddad, Noraziahtulhidayu Kamarudin, (2017). Natural Image Noise Level Estimation Based on Local Statistics for Blind Noise Reduction, The ASSOC PROF. DR. SYED ABDUL RAHMAN AL-HADDAD SYED MOHAMED (A02069) Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor T: 03-8946 6440 F: 03-8768 7127 E: sar@upm.my Updated on 30 Mei 2017 Visual Computer, (In Press). (IF=1.62) (Indexed by Scopus)
