The Computational Bioengineering concentration focuses on applying computational techniques to molecular biology, genomics, biophysics, and synthetic biology problems. Computational Bioengineering is concerned with improving the production of a desired product by engineering a dynamic biological system. It focuses on metabolic engineering, evolutionary engineering, and synthetic biology, as well as control and systems theory in biology. Molecular biophysics, molecular evolution, molecular and cellular design, functional genomics, statistical genetics, and systems biology are examples of these fields. Rational drug design can be aided by computational molecular models. Clinical data can be examined using healthcare informatics to better understand disease development and management. Computational approaches can also be used to better understand biophysical phenomena such as blood vessel fluid flow, cartilage compression mechanics, and the analysis of medical imaging.
Title : Chromatographic methods for authenticating bee pollen origin
Jose Bernal, University of Valladolid, Spain
Title : Raman spectroscopy and imaging in organization, processing and functionalization of polysaccharide materials
Pieter Samyn, Department of Innovations in Circular Economy and Renewable Materials, SIRRIS, Leuven, Belgium
Title : Portable and laboratory analytical photometric and fluorometric systems based on the use of 3D printed devices
Victor Cerda, Sciware Systems, Spain
Title : Electrochemical properties and sensing capacities of different carbon-based nanodots toward the detection of bioactives in complex matrices
Maria Jesus Villasenor Llerena, Castilla- La Mancha University, Spain
Title : Development of new creep prediction model for use through computational modelling for SS-304 material
Mohsin Sattar, Universiti Teknologi Petronas, Malaysia
Title : DNA-templated silver nanoclusters light up tryptophan for combined detection of plasma tryptophan and albumin in sepsis
Jingpu Zhang, Shanghai Public Health Clinical Center, China