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Ahmad Fakhri bin Ab. Nasir Lot 32759, Perumahan Bukit Tunggal, Kg. Gong Kijang, 21200 Kuala Terengganu, Terengganu. Tel: +6014-2149565 / +6019-9857871 Email: [email protected] Academic Qualification 1. PhD of Computer Science (2016) Universiti Sultan Zainal Abidin, Terengganu Thesis: An Improved Statistical Recognition Model for Ficus deltoidea Jack (Moraceae) Varieties Identification 2. Master of Engineering (Manufacturing) (2011) Universiti Malaysia Pahang, Pahang Thesis: Peningkatan Halaju Suapan Maksimum Interpolasi CNC Dedenyut Rujukan Menggunakan Pengaturcaraan Selari 3. Bachelor of Information Technology (2007) Universiti Malaya, Kuala Lumpur Research Interest My primary research interests are in the fields of statistical pattern recognition and parallel computing. I am also interested in computer vision and CNC interpolator algorithm. The list of research projects previously involved are stated below: 1. Designing parallel algorithm for reference-pulse CNC interpolator 2. The development of new leaf recognition model for Ficus deltoidea Jack (Moraceae) varietal identification by introducing petiole section removal technique, a new statistical model and the parallelization of image processing tasks Working Experience 1. Junior Programmer | PC Automation Sdn. Bhd. | July 2007 – December 2007 2. Research Assistant | Universiti Sultan Zainal Abidin | November 2015 – Present Research Publication (Selected) 1. A Fakhri A Nasir, M Nordin A Rahman & A Rasid Mamat. (2012). A Study of Image Processing in Agriculture Application under High Performance Computing Environment. International Journal of Computer Science and Telecommunications, 3(8), 16 – 24. 2. A Fakhri A Nasir, M Nordin A Rahman, Nashriyah Mat & A Rasid Mamat. (2014). Automatic Identification of Ficus deltoidea Jack (Moraceae) Varieties Based on Leaf. Modern Applied Science, 8(5), 121 – 131. (SCOPUS-indexed). 3. M Nordin A Rahman, A Fakhri A Nasir, Nashriyah Mat & A Rasid Mamat. (2015). Image Segmentation Using OpenMP and Its Application in Plant Species Identification. International Journal of Software Engineering and Its Applications, 9(5), 135 – 144. (SCOPUS-indexed) 4. A Fakhri A Nasir, M Nordin A Rahman, Nashriyah Mat & A Rasid Mamat. (2015). A Hybrid Filter- Wrapper Approach for Feature Selection in Ficus deltoidea Jack (Moraceae) Varietal Recognition. Presented in UniSZA Research Conference, 14-16 April 2015, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia. Achievement / Award 1. Won the silver medal award for paper entitled “Image Segmentation Using OpenMP and Its Application in Plant Species Identification”. The paper was presented at UniSZA postgraduate research conference 2013 2. Won the best paper award for paper entitled “A Hybrid Filter-Wrapper Approach for Feature Selection in Ficus deltoidea Jack (Moraceae) Varietal Recognition”. The paper was presented at UniSZA research conference 2015 3. PhD thesis is nominated as the best thesis award for year 2016 by the external examiner

Resume Ahmad Fakhri Ab Nasir - Universiti Malaysia Pahangfkp.ump.edu.my/.../Resume_Ahmad_Fakhri_Ab_Nasir.pdf · Ahmad Fakhri bin Ab. Nasir Lot 32759, Perumahan Bukit Tunggal, Kg

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Ahmad Fakhri bin Ab. Nasir Lot 32759, Perumahan Bukit Tunggal, Kg. Gong Kijang, 21200 Kuala Terengganu, Terengganu. Tel: +6014-2149565 / +6019-9857871 Email: [email protected]

Academic Qualification

1. PhD of Computer Science (2016) Universiti Sultan Zainal Abidin, Terengganu Thesis: An Improved Statistical Recognition Model for Ficus deltoidea Jack (Moraceae) Varieties Identification

2. Master of Engineering (Manufacturing) (2011) Universiti Malaysia Pahang, Pahang Thesis: Peningkatan Halaju Suapan Maksimum Interpolasi CNC Dedenyut Rujukan Menggunakan Pengaturcaraan Selari

3. Bachelor of Information Technology (2007) Universiti Malaya, Kuala Lumpur

Research Interest

My primary research interests are in the fields of statistical pattern recognition and parallel computing. I am also interested in computer vision and CNC interpolator algorithm. The list of research projects previously involved are stated below: 1. Designing parallel algorithm for reference-pulse CNC interpolator 2. The development of new leaf recognition model for Ficus deltoidea Jack (Moraceae) varietal

identification by introducing petiole section removal technique, a new statistical model and the parallelization of image processing tasks

Working Experience

1. Junior Programmer | PC Automation Sdn. Bhd. | July 2007 – December 2007 2. Research Assistant | Universiti Sultan Zainal Abidin | November 2015 – Present

Research Publication (Selected)

1. A Fakhri A Nasir, M Nordin A Rahman & A Rasid Mamat. (2012). A Study of Image Processing in Agriculture Application under High Performance Computing Environment. International Journal of Computer Science and Telecommunications, 3(8), 16 – 24.

2. A Fakhri A Nasir, M Nordin A Rahman, Nashriyah Mat & A Rasid Mamat. (2014). Automatic Identification of Ficus deltoidea Jack (Moraceae) Varieties Based on Leaf. Modern Applied Science, 8(5), 121 – 131. (SCOPUS-indexed).

3. M Nordin A Rahman, A Fakhri A Nasir, Nashriyah Mat & A Rasid Mamat. (2015). Image Segmentation Using OpenMP and Its Application in Plant Species Identification. International Journal of Software Engineering and Its Applications, 9(5), 135 – 144. (SCOPUS-indexed)

4. A Fakhri A Nasir, M Nordin A Rahman, Nashriyah Mat & A Rasid Mamat. (2015). A Hybrid Filter-Wrapper Approach for Feature Selection in Ficus deltoidea Jack (Moraceae) Varietal Recognition. Presented in UniSZA Research Conference, 14-16 April 2015, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia.

Achievement / Award

1. Won the silver medal award for paper entitled “Image Segmentation Using OpenMP and Its Application in Plant Species Identification”. The paper was presented at UniSZA postgraduate research conference 2013

2. Won the best paper award for paper entitled “A Hybrid Filter-Wrapper Approach for Feature Selection in Ficus deltoidea Jack (Moraceae) Varietal Recognition”. The paper was presented at UniSZA research conference 2015

3. PhD thesis is nominated as the best thesis award for year 2016 by the external examiner