Modular and Scalable Logic Computation in Vivo With Transcription Factor Inputs.
Leisner M., L. G. Bleris, J. Lohmueller, Z. Xie, Y. Benenson.
Nature Nanotechnology 5, 666–670, 2010. 2010 - Publication
Logic Integration of mRNA Signals by an RNAi-based Molecular Computer. Xie, Z., S. J. Liu, L. G. Bleris, Y. Benenson. Nucleic Acids Research, 38(8):2692-701 2010 - Publication
A System-on-a-Chip Implementation for Embedded Real-Time Model Predictive Control. Vouzis, P. D., L. G. Bleris, M. G. Arnold, M. V. Kothare.IEEE Transactions on Control Systems Technology, 17:5, 1006-1017, 2009 2009 - Publication
Molecular Circuits for Information Processing in Human Cells.
Bleris, L. G.Bio 24, 42-46, 2008 2008 - Publication
Pathways for Optimization-based Drug Delivery Systems and Devices. Bleris, L. G., P. D. Vouzis, J. G. Garcia, M. G. Arnold, M. V. Kothare.Control Engineering Practice, 15:10, 2007, 1280-1291 2007 - Publication
A universal RNAi-based logic evaluator that operates in mammalian cells.
Rinaudo, K.*, L. G. Bleris*, R. Maddamsetti, S. Subramanian, R. Weiss, Y. Benenson.
Nature Biotechnology 25, 795-801, 2007(*equal contribution) 2007 - Publication
Model Predictive Hydrodynamic Regulation of Microflows. Bleris, L. G., J. G. Garcia, M. G. Arnold., M. V. Kothare.Journal of Micromechanics and Microengineering, 16, 1792-1799, 2006 2006 - Publication
Towards Embedded Model Predictive Control for System-On-a-Chip Applications. Bleris, L. G., J. G. Garcia, M. V. Kothare, M. G. Arnold.Journal of Process Control, 16, 255-264, 2006 2006 - Publication
Low-Order Empirical Modeling of Distributed Parameter Systems Using Temporal and Spatial Eigenfunctions. Bleris, L. G. and M. V. Kothare.Computers & Chemical Engineering, 29, 817-827, 2005 2005 - Publication
Reduced Order Distributed Boundary Control of Thermal Transients in Microsystems. Bleris, L. G. and M. V. Kothare.IEEE Transactions on Control Systems Technology, 13:6, 853-867, 2005 2005 - Publication
Engineering Synthetic Gene Networks in Cells, Tulane University
Gene Networks and Devices, Aristotle University of Thessaloniki
"Engineering Robust to Fluctuations General-Purpose Gene Networks", UT Southwestern Medical Center
Engineering in Cells: Synthetic Molecular Devices, RWTH University, Germany
A Universal RNAi-based Logic Evaluator that Operates in Mammalian Cells, Lehigh University
Two UT Dallas faculty members recently earned National Science Foundation Faculty Early Career Development (CAREER) Awards
Dr. Anton Malko
, assistant professor of physics, and Dr. Leonidas Bleris
, assistant professor of bioengineering, will each receive $400,000 in funding for five years of research into areas of renewable energy and genome editing technologies, respectively.
Malko’s award will advance his research in the development of new hybrid materials that could offer a versatile platform for optoelectronic applications. In particular, they show promise for the next generation of photovoltaic solar cells that will harness sunlight for use as an ecofriendly and renewable energy-generating technology.
Bioengineers from the Erik Jonsson School of Engineering and Computer Science
at UT Dallas have shed light on the mysteries of biological pathways.
The findings, which were published in the journal Proceedings of the National Academy of Sciences (PNAS)
, could affect a wide range of applications relevant to public health and therapeutics.
In the article, “Discriminating Direct and Indirect Connectivities in Biological Networks
,” the team of researchers shows that the integration of engineering, mathematics and synthetic biology can lead to new insights on the properties of biological networks.
Bioengineers at The University of Texas at Dallas have created a novel gene-delivery system that shuttles a gene into a cell, but only for a temporary stay, providing a potential new gene-therapy strategy for treating disease.
The approach offers distinct advantages over other types of gene therapies under investigation, said Richard Taplin Moore MS’11, a doctoral student in bioengineering
in the Erik Jonsson School of Engineering and Computer Science
. He is lead author of a study
describing the new technique in the Jan. 30 issue of the journal Nucleic Acids Research