Home page of Tapobrata Lahiri, Ph.D.
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Thrust area of research and academics
Broad area
Application
of Numerical Analysis Techniques (Machine Learning, Artificial Intelligence,
Optimization, Systems Modelling and Simulation, Fractal Dimensional Analysis)
to improve Prediction and Automatic Expert/Diagnostic Models for Biomedical
area using data/feature extracted from mainly Digital Image and Signal
Processing.
Specific area
1. Machine Learning Applications in Medical
Diagnostics and Bioinformatics problems
2. Development of semi-empirical method for protein structure
determination
Selected latest publications
(Journals)
1. An improved protein structure
evaluation using a semi-empirically derived structure property, BMC structural
biology 18 (1), 16, 2018
2. EcircPred: Sequence and secondary
structural property based computational identification of exonic circular RNAs,
Computational biology and chemistry 77, 28-35, 2018
3. A new search subspace to compensate
failure of cavity-based localization of ligand-binding sites, Computational
biology and chemistry 68, 6-11, 2017
4. PCV: an alignment free method for
finding homologous nucleotide sequences and its application in phylogenetic
study, Interdisciplinary Sciences: Computational Life Sciences 9 (2), 173-183,
2017
5. An improved protein surface
extraction method using rotating cylinder probe, Interdisciplinary Sciences:
Computational Life Sciences 9 (1), 65-71, 2017