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FACULTY OF COMPUTER SYSTEMS & SOFTWARE ENGINEERING (FSKKP)

ferda
Staff Information
Dr. Ferda Ernawan
Senior Lecturer
09-5493286
0165801545
ferda@ump.edu.my
https://sites.google.com/site/ferda1902/home
LE-1017

Educational Background

Dr. Ferda Ernawan graduated Master and Doctor Degrees from Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka in 2011 and 2014 respectively.

Research

Software Engineering and Intelligence, Audio Processing, Image processing, Pattern Recognition, Computer Vision
Data compression, watermarking, psychovisual masking, steganography
A Novel Psychovisual Model -FRGS(2012-2014)

Supervision

Co-supervisor: Ng Ke Huey - Master by Research (on going)
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Publications

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1. Asian Research Journal of Mathematics (http://www.sciencedomain.org/journal/44/editorial-board-members)
2. Journal of Informatics and Electronics Engineering (http://ejournal.poltektedc.ac.id/index.php/jiee/editorial)
3. International Journal of Engineering Sciences (http://tijournals.com/index.php?action=journal&page=editorialboard&jid=5)
4. International Journal of Software Engineering and Computer Systems (http://ijsecs.ump.edu.my/index.php/editorial)
5. Journal of Computer Intelligence and Innovation (https://www.jocii.org/editorial-board)
6. Asian Journal of Applied Science and Technology (http://ajast.net/editorial-board.html)
1. F. Ernawan, E. Noersasongko and N.A. Abu. (2011). An Efficient 2x2 Tchebichef Moments for Mobile Image Compression,” International Symposium on Intelligent Signal Processing and Communication System (ISPACS 2011), Dec. 2011, Chiang Mai, Thailand, pp. 001-005. (Publisher: IEEE, Indexed: Scopus) (pdf)
2. F. Ernawan, N. A. Abu and N. Suryana. (2011). Spectrum Analysis of Speech Recognition via Discrete Tchebichef Transform,” Proceedings of International Conference on Graphic and Image Processing (ICGIP 2011), Proceeding of the SPIE, Vol. 8285, No. 1, Oct. 2011, Cairo, Egypt, pp. 82856L-82856L-8. (Publisher: SPIE, Indexed: Scopus and ISI) (pdf)
3. F. Ernawan, E. Noersasongko and N.A. Abu. (2011). Using Discrete Tchebichef Transform on Speech Recognition. 4th International Conference on Machine Vision (ICMV 2011), Proceeding of the SPIE, Vol. 8350, Dec. 2011, Singapore, pp. 83501J-83501J-5. (Publisher: SPIE, Indexed: Scopus and ISI) (pdf)
4. F. Ernawan, E. Noersasongko and N.A. Abu. (2011). Fast Dynamic Speech Recognition via Discrete Tchebichef Transform. International Conference on Informatics and Computational Intelligence (ICI 2011), Dec. 2011, Bandung, Indonesia, pp. 250-255. (Publisher: IEEE, Indexed: Scopus) (pdf)
5. F. Ernawan, N.A. Abu and N. Suryana. (2013). The Efficient Discrete Tchebichef Transform for Spectrum Analysis of Speech Recognition. International Conference on Graphic and Image Processing, Singapore, pp. 87680O-87680O-7. (Publisher: SPIE, Indexed: Scopus and ISI) (pdf)
6. F. Ernawan, N. A. Abu and H. Rahmalan. (2012). Tchebichef Moment Transform on Image Dithering for Mobile Applications,” Proceeding of the SPIE, Vol. 8334, Apr. 2012, Kuala Lumpur, Malaysia, pp. 83340D-83340D-5. (Publisher: SPIE, Indexed: Scopus and ISI) (pdf)
7. H. Rahmalan, F. Ernawan and N.A. Abu. (2012). Tchebichef Moment Transform for Colour Image Dithering. 4th International Conference on Intelligent and Advanced Systems (ICIAS 2012), June 2012, Kuala Lumpur, Malaysia, Vol. 2, pp. 866-871. (Publisher: IEEE, Indexed: Scopus and ISI) (pdf)
8. N.A. Abu, F. Ernawan, N. Suryana and S. Sahib, (2013). Image Watermarking Using Psychovisual Threshold over the Edge. Information and Communication Technology, Yogyakarta, Indonesia, pp. 519-527. (Publisher: Springer Berlin Heidelberg, Indexed: Scopus) (pdf)
9. N.A. Abu, F. Ernawan and N. Suryana, (2013). A Generic Psychovisual Error Threshold for the quantization table generation on JPEG Image Compression. 9th International Colloquium on Signal Processing and its Applications, 8 - 10 March 2013, Kuala Lumpur, Malaysia, pp. 39-43. (Publisher: IEEE, Indexed: Scopus and ISI) (pdf)
10. F. Ernawan, N.A. Abu and N. Suryana, (2013). TMT Quantization Table Generation Based on Psychovisual Threshold for Image Compression. International Conference of Information and Communication Technology (ICoICT 2013), 20-22 March 2013, Bandung, Indonesia, pp. 202-207. (Publisher: IEEE, Indexed: Scopus and ISI) (pdf)
11. N.A. Abu, F. Ernawan and S. Sahib, (2013) Psychovisual Model on Discrete Orthonormal Transform, International Conference on Mathematical Sciences and Statistics (ICMSS 2013), 5-7 February 2013, Kuala Lumpur, Malaysia, pp.309-314. (Publisher: AIP Publishing, Indexed: Scopus and ISI) (pdf)
12. F. Ernawan, M. N. Kabir, M. Fadli, Z. Mustaffa. (2016). Block-based Tchebichef image watermarking scheme using psychovisual threshold. International Conference on Science and Technology-Computer (ICST), 27-28 Oct. 2016, pp. 6-10.
13. F. Ernawan. (2016). A New Psychovisual Threshold Technique in Image Processing Applications. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016, 6-8 December 2016, Universiti Malaysia Pahang. pp. 9-20. ISBN 978-967-2054-04-7.
1. F. Ernawan and N.A. Abu. (2011) Efficient Discrete Tchebichef on Spectrum Analysis of Speech Recognition. International Journal of Machine Learning and Computing, Vol. 1, No. 1, Apr. 2011, pp. 001-006.(pdf)
2. F. Ernawan, N.A. Abu and N. Suryana. (2013). Adaptive Tchebichef Moment Transform Image Compression Using Psychovisual Model, Journal of Computer Science, Vol. 9, No. 6, pp. 716-725. (Publisher: Science publication, Indexed: Scopus, IF=1.35) (pdf)
3. F. Ernawan, N. A. Abu and N. Suryana, (2013). Vowel Recognition using Discrete Tchebichef Transform, Journal of Applied Sciences, Vol. 13, No. 3, pp. 465-471. (Publisher: Asian Network for Sciencetific Information, Indexed: Scopus) (pdf)
4. N.A. Abu, F. Ernawan and N. Suryana, (2013). An Image Dithering via Tchebichef moment transform, Journal of Computer Science, Vol. 9, No. 7, pp. 811-820. (Publisher: Science publication, Indexed: Scopus, IF=1.35) (pdf)
5. F. Ernawan, N.A. Abu and N. Suryana. (2014). An Adaptive JPEG Image Compression Using Psychovisual Model. Advanced Science Letters, Vol. 20, No. 1, pp. 26-31. (Publisher: American Scientific Publishers, Indexed: Scopus, IF=1.253) (pdf)
6. F. Ernawan, N.A. Abu and N. Suryana. (2014). An Optimal Tchebichef Moment Quantization Using Psychovisual Threshold for Image Compression. Advanced Science Letters, Vol. 20, No. 1, pp. 70-74. (Publisher: American Scientific Publishers, Indexed: Scopus, IF=1.253) (pdf)
7. F. Ernawan, N.A. Abu and N. Suryana. (2014). Integrating a Smooth Psychovisual Threshold into an Adaptive JPEG Image Compression. Journal of Computers, Vol. 9, No. 3, pp. 644-653. (Publisher: Academy Publisher) (pdf)
8. F. Ernawan, N.A. Abu and N. Suryana. (2014). A Psychovisual Threshold for Generating Quantization Process in Tchebichef Moment Image Compression. Journal of Computers, Vol. 9, No. 3, pp. 702-710. (Publisher: Academy Publisher) (pdf)
9. N.A. Abu and F. Ernawan. (2014). Psychovisual Threshold on Large Tchebichef Moment for Image Compression. Applied Mathematical Sciences, Vol. 8, No. 140, pp. 6951-6961. (Publisher: HIKARI Ltd, Indexed: Scopus) (pdf)
10. F. Ernawan and S.H. Nugraini. (2014). The Optimal Quantization Matrices for JPEG Image Compression From Psychovisual Threshold. Journal of Theoretical and Applied Information Technology, Vol. 70, No. 3, pp. 566-572. (Publisher: Little Lion Scientific Islamabad Pakistan, Indexed: Scopus) (pdf)
11. N.A. Abu, F. Ernawan and F. Salim. (2015). Smooth Formant Peak via Discrete Tchebichef Transform. Journal of Computer Science, Vol. 11, No. 2, pp. 351-360. (Publisher: Science publication, Indexed: Scopus) (pdf)
12. N.A. Abu and F. Ernawan. (2015). A Novel Psychovisual Threshold on Large DCT for Image Compression. The Scientific World Journal, pp. 001-011. (Publisher: Hindawi Publishing Corporation, Indexed: Scopus) (pdf)
13. F. Ernawan. (2016). Robust Image Watermarking Based on Psychovisual Threshold. Journal of ICT Research and Applications, Vol. 10, No. 3, pp. 228-242.
14. F. Ernawan, Z. Mustaffa, L.B. Aji. (2016). An Efficient Image Compression Using Bit Allocation based on Psychovisual Threshold. Information (Japan), Vol. 9(9B), pp. 4177-4182.

Others

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1. Image Processing
2. Programming Technique
3. Data Structure and Algorithms
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1. Silver Medal Award, A New Psychovisual Threshold Technique in Image Processing Applications. International Competition and Exhibition on Computing Innovation (iCE-CInno), 6-8-Dec 2016.
2. Bronze Medal Award, A Novel Psychovisuak Threshold in Image Compression, Innovative Research, Invention & Application (I-RIA), 31st May-1st June 2016.
3. Bronze Medal Award, Implementation of Speech Recognition for Disabled People. International Competition and Exhibition on Computing Innovation (iCE-CInno), 6-8-Dec 2016.
4. Silver Medal Award, Automated Digital Watermarking Algorithm Using Psychovisual threshold for Photography. Creation, Innovation, Technology & Research Exposition (CITREx 2017).

 

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