Dr. Nor Ashidi Mat Isa

Dr. Nor Ashidi
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My Supervisions

PhD Student (Research)

Main Supervisor

1. Mohammad Subhi Al Batah, ‘An Intelligent Classification System for Aggregate Based on Image Processing and Neural Network’; PhD, USM, July, 2009.

MSc Student (Research)

Main Supervisor

1. Nazahah Mustafa, Features Extraction of Cervical Cell Based on ThinPrep Images for Cervical Cancer Diagnostic System; MSc, Universiti Sains Malaysia, April 2007.
   
2. Fakhroul Ridzuan Hashim, Hierarchical Modification of neural Networks Architecture for Determination of Type and Quality of River’s Water, MSc, Universiti Sains Malaysia, April, 2008.
   
3. Nor Rizuan Mat Noor, Design of an Automated Slide Capturing System with a DSP-Based Automatic Features Extraction of ThinPrep Images for Cervical Cancer, MSc, Universiti Sains Malaysia, June 2008.
   
4. Zamani Md Sani, ‘A Real Time Intelligent Machine Vision System for Aggregate Classification’; MSc, Universiti Sains Malaysia, May, 2009.
   
5. Mohd Fauzi Alias, ‘Classification of Normal and Abnormal Sperm from Suspension of Sparague Dawley Rat Sperm’, MSc, Universiti Sains Malaysia, July, 2009.

Co-Supervisor

1. Ariffuddin Joret, Intelligent Shape Classification System of Aggregate Based on Neural Networks, MSc, Universiti Sains Malaysia, 2006.
   
2. Esugasini Subramaniam, Development of Breast Cancer Diagnostic System Based on Artificial Neural Network, MSc, Universiti Sains Malaysia, June, 2006.

MSc Students (Mixed Mode) – MSc Dissertation

1. Mohamad Faizal Abd rahman, An Intelligent Shape Recognition System for Aggregate Using Neural Network. MSc Dissertation. Universiti Sains Malaysia, August 2005.
   
2. Saiful Zaimy Yahaya, Development of Intelligent Microcontroller Based System for Cervical Cancer Diagnosis Using Hierarchical Hybrid Neural Network, MSc ESDE Mixed Mode, June 2006.
   
3. Zuraidi Saad, Application of Image Processing Technique to Determine Normal Sperm, MSc ESDE Mixed Mode, June 2007.
   
4. Fathin Liyana Zainudin, Study on the Capability of Mean-Shift Clustering as Training Algorithm for RBF Network, MSc ESDE Mixed Mode, June 2008.

MSc Students (Coursework) – MSc Project

1. Irni Hamiza Hamzah, The Development of An Intelligent Pattern Recognition System Based on Neural Networks. MSc Project. Universiti Sains Malaysia, June 2005.

Undergraduates Students

Academic Session 2003/2004

1. Afida Amzah, Analisa Prestasi Peruasan Kawasan dan Peningkatan Kontras Imej Palitan Pap Menggunakan Pelbagai Algoritma Pengelompokan. Final Year Project Report. Universiti Sains Malaysia. March 2004.
   
2. Afzan Kamarudin, Peningkatan Prestasi Algoritma ASBRG Bagi Pengesanan Pinggir dan Peruasan Kawasan Imej Digital. Final Year Project Report. Universiti Sains Malaysia. March 2004
   
3. Nazahah Mustafa, Peningkatan Kontras Imej Palitan Pap Terpilih. Final Year Project Report. Universiti Sains Malaysia. March 2004
   
4. Nazri Nainamsa, Kesan Pelbagai Algoritma Peregangan Ke Atas Imej Palitan Pap. Final Year Project Report. Universiti Sains Malaysia. March 2004
   
5. Noorhabsah Haji A Hamid, Sistem Pengecaman Corak Data Perubatan Berasaskan Rangkaian HRBF. Final Year Project Report. Universiti Sains Malaysia. March 2004
   
6. Saufian A Razak, Peningkatan Kontras Ke Atas Imej Palitan Pap Warna. Final Year Project Report. Universiti Sains Malaysia. March 2004
   
7. Shahrill Sabarudin, Aplikasi ASBRG Terhadap Imej Mammogram dan Ultra-Bunyi Bagi Mengesan Tumor Payudara. Final Year Project Report. Universiti Sains Malaysia. March 2004
   
8. Suhaimi Zakaria, Sistem Pengecaman Corak Menggunakan Rangkaian Neural HMLP. Final Year Project Report. Universiti Sains Malaysia. March 2004

Academic Session 2004/2005

1. Ang Choun Choun, Pangkalan Data Untuk Aggregat Dengan Kemudahan Pemprosesan Imej Terbina. Final Year Project Report. Universiti Sains Malaysia. March 2005
   
2. Bibi Nurmiza Abdul Halim, Sistem Pengekstrakan Ciri-ciri Aggregat Berasaskan Pemprosesan Imej Digital. Final Year Project Report. Universiti Sains Malaysia. March 2005
   
3. Haslina Abu Hassan, Pengkelasan Pintar Bentuk Aggregat Menggunakan Rangkaian Neural. Final Year Project Report. Universiti Sains Malaysia. March 2005
   
4. Kathylin Binti Ben, Kajian Ke Atas Kejituan Pengelasan Sistem Rangkaian Neural Buatan Apabila Diimplemen Dengan Satu Nod dan Berbilang Nod Output. Final Year Project Report. Universiti Sains Malaysia. March 2005
   
5. Rohaida Khalid, Sistem Pemprosesan Imej Perubatan. Final Year Project Report. Universiti Sains Malaysia. March 2005
   
6. Termeheshan Hasan Mashat. Pengiraan Bilangan Mikrokalsifikasi Barah Payudara Berasaskan Imej Mammogram. Final Year Project Report. Universiti Sains Malaysia. March 2005.
   
7. Vimal Raj a/l Ramasamy, Study on The Effect of Various Clustering Algorithms on the Performance of radial Basis Function Network in Pattern Recognition Application. Final Year Project Report. Universiti Sains Malaysia. March 2005

Academic Session 2005/2006

1.

Ahmad Hafis Othman, Pengkelasan Aggregat Menggunakan Rangkaian Neural Berhirarki. Final Year Project Report, Universiti Sains Malaysia, May 2006.
   
2. Fong Wai Mei, Development of An Intelligent System for River Water Quality Classification Based On Algae Composition, Final Year Project Report, Universiti Sains Malaysia, May 2006.
   
3. Khoo Wei Qi, Microcontroller Based Cervical Pre-Cancerous Diagnosis System Using Hybrid Multilayer Perceptron Network, Final Year Project Report, Universiti Sains Malaysia, May 2006.
   
4. Ku Yusnaidi Ku Shamsudin, Sistem Pemprosesan Imej Digital Untuk Imej Palitan Darah (Parasit Malaria), Final Year Project Report, Universiti Sains Malaysia, May 2006.
   
5. Lim Chia Li, Application of Neural Network in Malaria Parasites Classification, Final Year Project Report, Universiti Sains Malaysia, May 2006.
   
6. Mohd Izuddin Kasim, Aplikasi Rangkaian Neural HMLP Untuk Saringan Barah Pangkal Rahim Berdasarkan Imeh ThinPrep, Final Year Project Report, Universiti Sains Malaysia, May 2006.
   
7. Ng Soo Kheng, Implementation of Image Processing Tecgnique in FPGA, Final Year Project Report, Universiti Sains Malaysia, May 2006.
   
8. Nor Hidayah Saad, Sistem Pengekstrakan Ciri Parasit Malaria, Final Year Project Report, Universiti Sains Malaysia, May 2006.
   
9. Nur Azura Ramlee, Pembangunan Sistem Perisian Sebagai Persekitaran Pembangunan Bersepadu Bagi Mikropemproses 8085 dan Mikropengawal 8051, Final Year Project Report, Universiti Sains Malaysia, May 2006.
   
10. Sharifah Nasriah Wan Obeng, Meramal Kualiti Air Sungai Berdasarkan Komposisi Alga Dengan Menggunakan Analisis Diskriminan Dua Kumpulan, Final Year Project Report, Universiti Sains Malaysia, May 2006.
   
11. Suzita Che Osman, Pengesanan Kerosakan Bahan Penebat Transformer Dengan Menggunakan Rangkaian Neural Buatan, Final Year Project Report, Universiti Sains Malaysia, May 2006.

Academic Session 2006/2007

1. Tan Chia Ling, Development of Intelligent Forecastiing System for Satellite Attenuation Using Neural Network, Final Year Project, Universiti Sains Malaysia, March 2007.
   
2. Chan Chee Keat, Development of Intelligent System for Induction Motor Failure, Final Year Project, Universiti Sains Malaysia, March 2007.
   
3. Gan Yau Wai, Development of Intelligent System Based on Microprocessor for Potential Drug Detection in Herbal Medicine, Final Year Project, Universiti Sains Malaysia, March 2007.
   
4. Yeo Swee Wei, Application of Neural Network for Antenna Performance Detection, Final Year Project, Universiti Sains Malaysia, March 2007.
   
5. Rusydi Zainul, Application of Image Processing to Detect SRAM IC Failure, Final Year Project, Universiti Sains Malaysia, March 2007.
   
6. Lee Jia Wei, Study on Capability and Suitability of Shift Mean Clustering for Segmentation od Medical Images, Final Year Project, Universiti Sains Malaysia, March 2007.
   
7. Wong Li Yen, Designing the Next Generation of LXI Data Acquisition, Final Year Project, Universiti Sains Malaysia, March 2007.
   
8. Wan Mohd Fahmi Wan Mamat, Development of Intelligent System for Transformer Failure, Final Year Project, Universiti Sains Malaysia, March 2007.
   
9. Chan Seen Ping, Design of A Scientific Calculator Using FPGA, Final Year Project, Universiti Sains Malaysia, March 2007.

Academic Session 2007/2008

1. Chuah Ming Yong. Study on the Capability of Clustering Algorithms as Intelligent Classifier. Final Year Project, Universiti Sains Malaysia, April, 2008.
   
2. Chuah Seew Lang. Determination of Abnormal Sperm from Seminal Sample. Final Year Project, Universiti Sains Malaysia, April, 2008.
   
3. Lee Tian Hau. Performance Comparison Between the Modified Recursive Prediction Error with Several Conventional Training Algorithms of Artificial Neuaral network for Pattern Recognition. Final Year Project, Universiti Sains Malaysia, April, 2008.
   
4. Lok Wai Yee. Development of Aggregate Capturing System with Database Facilities. Final Year Project, Universiti Sains Malaysia, April, 2008.
   
5. Low Aik Wei. Development of An Intelligent System for Classification of Cervical Precancerous Stage Using Artificial Neural Network Based on Thinprep Images. Final Year Project, Universiti Sains Malaysia, April, 2008.
   
6 Mohd Yunus Hashim. Aplikasi Pemadanan Templat untuk Pengesanan Sel Sperma Normal. Final Year Project, Universiti Sains Malaysia, April, 2008.