Maqsood Hayat
Room No. 111, D Hostel
Pakistan Institute of Engineering & Applied Sciences (PIEAS),
P.O Nilore, Islamabad.
Telephone : 0308-5598123



 PERSONAL

 Name : Maqsood Hayat
 Address : Room No. 111, D Hostel,
Pakistan Institute of Engineering & Applied Sciences (PIEAS),
P.O Nilore, Islamabad, Pakistan.
 Telephone : 0308-5598123
 E-mail : maqsood.hayat@pieas.edu.pk
maqsood.hayat@gmail.com



 QUALIFICATION

 Ph D : PhD, (PIEAS, Islamabad, Pakistan)
 MS : MS (Software & System Eng), Muhammad Ali Jinnah University, Islamabad
 MCS : MCS, Gomal University, D I Khan, Khyber Pakhtunkhwa
 BSc : BSc, Islamia College Peshawar, Khyber Pakhtunkhwa



 RESEARCH GROUP

 1  



 RESEARCH FIELD

 1 Bioinformatics, Machine Learning, Evolutionary Computing



 RESEARCH SUPERVISOR(S)

 Research Supervisor Dr. Asifullah Khan



 THESIS TITLE

 1 Prediction of Protein Sequences using Machine Learning Approaches



 PUBLICATIONS

 1 M. Hayat, and A. Khan, Predicting Membrane Protein Types by Fusing Composite Protein Sequence Features into Pseudo Amino Acid Composition, accepted in Journal of Theoretical Biology, 2010(impact factor: 2.54).
 2 M. Hayat, and A. Khan, Prediction of Membrane Protein Types using Pseudo-Amino Acid Composition and Ensemble Classification, IEEE International Conference on Intelligence and Information Technology (ICIIT), Oct 28-30, 2010, Lahore.
 3 M. Hayat, and A. Khan, Membrane Protein Prediction using Wavelet Decomposition and Pseudo Amino Acid based Feature Extraction, Proceedings of the 6th IEEE International Conference on Emerging Technologies, (ICET 2010), October, 2010, pp.1-6 (received best paper award).
 4 A. Khan, A. Majid, and M. Hayat, CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of Pseudo amino acid composition, Computational Biology and Chemistry 35 (2011) 218–229.
 5 M. Hayat, A. Khan, M. Yeasin, Prediction of Membrane Proteins Using Split Amino Acid Composition and Ensemble Classification, under review in Journal of Amino Acid.