Muhammad Shoaib B. Sehgal

Muhammad Shoaib Sehgal

Dr. Muhammad Shoaib Sehgal earned PhD in Artificial Intelligence from Monash University, Australia. His research interests include: Machine Learning, Statistical Inference and Computation Biology. Currently Shoaib is working as a Research Officer at ARC Center of Excellence in Bioinformatics, IMB University of Queensland, Australia. He is working on a joint project (http://www.biomanta.org) between Pfizer, Research Technology Center, Cambridge USA and IMB at UQ. He is developing novel knowledge discovery strategies to infer high-throughput and high-confidence bio-chemical networks by fusing various forms of data in Semantic Web paradigm.

In addition he is also involved in a Visible Cell^TM project which aims to provide visualization and inference environment for advanced in silico studies of cell and molecular organization in 3D.

Prior joining IMB he worked for industry and was Lecturing at University of Engineering & Technology (UET), Lahore Pakistan.

Research interests of Dr. M.S. Sehgal include:

Machine Learning (Class Prediction, Clustering, Pattern Matching, Optimization and Evolutionary Computing)

Statistical Inference (Bayesian Inference, Regression and Information Theory)

Bioinformatics (Gene Regulatory Networks, Missing Value Imputation, Gene Selection, Functional Genomics, Diagnosis/Prognosis and Pharmacogenomics/genetics)

Signal Processing (Speech, Image and Video Processing)

Other Research Activities:

[Reviewer]

Journal of Bioinformatics, Oxford University Press, ISI Impact Factor (6.019).

BMC Bioinformatics

Journal of Biomedical Informatics, ELSEVIER, ISI Impact Factor (2.388).

Neurocomputing, ELSEVIER, ISI Impact Factor (0.790).

IEEE Transactions on Pattern Analysis and Machine Intelligence, ISI Impact Factor (1.940).

[Affiliations]

Pfizer Research Technology Center, Boston USA.

ARC Center of Excellence in Bioinformatics, IMB University of Queensland, Australia

Victorian Bioinformatics Consortium, Melbourne, Australia.

Victorian Partnership for Advance Computing (VPAC).

Australian Research Council, Research Network in Enterprise Information Infrastructure (EII).

Australian Mathematical Science Institute (AMSI).

Australian Partnership for Advance Computing (APAC).

[Session Chair]

Computational Intelligence in Drug Discovery and Bioinformatics WMSCI 2006, Florida, USA.

[Member Program Committee]

IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) 2007, Honolulu, Hawaii, USA.

[Member Review Committee]

Pattern Recognition in Bioinformatics (PRIB) 2007, Singapore.

Softwares:

Our missing value imputation software (CMVE) is currently being used by many researchers in different laboratories across the world.

Click Here to download free copy of CMVE Software, mentioned in the following paper.

[M. S. B. Sehgal, I. Gondal, and L. Dooley, "Collateral Missing Value Imputation: a new robust missing value estimation algorithm for microarray data," Bioinformatics, vol. 21(10), pp. 2417-2423, 2005 (Full paper)].

"The greater danger for most of us lies not in setting our aim too high and falling short; but in setting our aim too low, and achieving our mark" (Michelangelo).