Dr. Ahmad Ihsan Bin Mohd Yassin

Senior Lecturer
Universiti Teknologi Mara, Malaysia


Highest Degree
Ph.D. in Computer Science from Universiti Teknologi Mara, Malaysia

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Biography

Dr. Ahmad Ihsan Bin Mohd Yassin is currently working as Senior Lecturer at Universiti Teknologi Mara, Malaysia. He has completed his PhD in Computer Science form same University. His main area of interest focuses on System Identification, Optimization, and Artificial Intelligence. His area of expertise includes System Identification, Optimization, Artificial Intelligence, Database Design & Development, and Web Application Design & Development. He has published more than 112 research articles in journal and conferences contributed as author/ co-author.

Area of Interest:

Computer Sciences
System Identification
Optimization
Artificial Intelligence
Database Design

Selected Publications

  1. Zuki, S.A.M., N. Abd Rahman, I.M. Yassin, N.A.M. Zaki and M.S.I. Suhaimi, 2015. Particles Mixing in a Fluidized Bed by Using Digital Image Processing and Thief Probe. In: ICGSCE: Proceedings of the International Conference on Global Sustainability and Chemical Engineering, Hashim, A. (Ed.). Springer, Singapore, pp: 157-165.

  2. Omar, S.M.H.S., N.M. Arshad, I.M. Yassin, M.H.A.M. Fakharuzi and T.A. Ward, 2015. Design and optimization of powertrain system for automated controlling system on prototype fuel cell electric vehicle. Int. J. Automotive Mech. Eng., 11: 1401-1413.

  3. Zuki, S.A.M., N.A. Rahman and I.M. Yassin, 2014. Particle mixing analysis using digital image processing technique J. Applied Sci., 14: 1391-1396.
    CrossRef  |  Direct Link  |  

  4. Yassin, I.M., M.N. Taib, R. Adnan and S. Alam, 2014. Extended analysis of bpso structure selection of nonlinear auto-regressive model with exogenous inputs ( NARX) of direct current motor. Songklanakarin J. Sci. Technol., 36: 683-699.
    Direct Link  |  

  5. Shariff, H.M., M.H.F. Rahiman, I. Yassin and M. Tajjudin, 2014. System identification of a steam distillation pilotscale using ARX and NARX approaches. Int. J. Res. Eng. Technol., 3: 144-157.
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  6. Jahidin, A.H., M.S.A.M. Ali, M.N. Taib, N.M. Tahir, I.M. Yassin and S. Lias, 2014. Classification of intelligence quotient via brainwave sub-band power ratio features and artificial neural network. Comput. Methods Programs Biomed., 114: 50-59.
    CrossRef  |  Direct Link  |  

  7. Abidin, H.Z., N.M. Din, I.M. Yassin, H.A. Omar, N.A.M. Radzi and S.K. Sadon, 2014. Sensor node placement in wireless sensor network using multi-objective territorial predator scent marking algorithm. Arabian J. Sci. Eng., 39: 6317-6325.
    CrossRef  |  Direct Link  |  

  8. Yassin, I.M., M.N. Taib and R. Adnan, 2013. Recent advancements and methodologies in system identification: A review. Scient. Res. J., 1: 14-33.
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  9. Sahak, R., W. Mansor, K.Y. Lee, A. Zabidi and A.I.M. Yassin, 2013. Optimization of principal component analysis and support vector machine for the recognition of infant cry with asphyxia. Int. J. Comput. Applic., Vol. 35. 10.2316/Journal.202.2013.3.202-3456.
    CrossRef  |  Direct Link  |  

  10. Bon, A.T., J.M. Ogier, A.M. Razali and I.M. Yassin, 2008. Feature selection in extrusion beltline moulding process using particle swarm optimization. Comput. Inform. Sci., 1: 20-26.
    Direct Link  |  

  11. Bon, A.T., J.M. Ogier, A.M. Razali and A.I. Yasin, 2008. Feature selection in beltline moulding process using genetic algorithm. J. Applied Sci. Res., 4: 783-792.