Daniel Navid Mohsenizadeh, a post doctoral student from the Department of Electrical and Computer Engineering at Texas A&M University, was awarded the First Place Post-Doctoral Award at the Twelfth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society.
Mohsenizadeh, a student of Dr. Edward Dougherty, was given the award for his presentation “A Dynamical Modeling Methodology for Uncertain Genomic Networks,” with co-authors Jianping Hua, Michael Bittner and Dougherty. He currently is in the NIH Training Program with the Department of Statistics.
In his paper, Mohsenizadeh proposes a new methodology to develop dynamical models for uncertain genomic networks. The method does not require full knowledge of the network and can generate a dynamical model based on an available small data set and the results from experimental design can be examined in the laboratory. A software package that can be used to study the dynamics of uncertain biological networks also was developed.
Mohsenizadeh received his bachelor's degree from Shiraz University, Iran in 2007 and his master's and Ph.D. degrees from Texas A&M in 2010 and 2014, respectively, all in mechanical engineering.
His Ph.D. research work developed a new measurement based approach to the analysis and design of linear systems which is a departure from the traditional model based approaches. His most significant contribution to this subject is his co-authorship of a book entitled “Linear Systems: A Measurement Based Approach.”
Mohsenizadeh also has two peer-reviewed publications in highly respected scientific journals as well as 14 conference papers. His research interests are in control theory and applications, synthesis of fixed structure controllers, computational biology and measurement based approaches. His interests also lie in the field of structural analysis, where he has worked with the Boeing Space & Intelligence Systems on designing a new generation of solar arrays.