Kyle Camarda, Ph.D.

Kyle Camarda
  • Associate Professor, Chemical and Petroleum Engineering

Contact Info

4154 Learned Hall


Associated Tracks

-Computational Bioengineering
-Biomolecular Engineering

Research Interests

-Computational Molecular Design of Pharmaceuticals
-Polymers and Other Biomaterials
-Optimization Algorithms Applied to Engineering Systems


B.S. in Chemical Engineering, University of California
M.S. in Chemical Engineering, University of Illinois at Urbana
Ph.D. in Chemical Engineering, University of Illinois at Urbana


Kyle Camarda's research focuses mainly on the use of high-performance computers to solve optimization problems in product design, process design and bioinformatics. In the search for new pharmaceuticals, polymers, or fuel additives, the traditional trial-and-error approach is being supplanted by a new technique which uses computers to suggest compounds which are promising before any synthesis or testing is performed. Using this method, called Computational Molecular Design, researchers in this group first aim to predict important properties of novel molecules. Once properties can be predicted, optimization problems are formulated and solved which result in candidate molecules which are likely to have all of the physical property values desired for the new product. Computational molecular design is being applied to the search for new pharmaceutical drug formulations, novel catalytic materials, polymer adhesives, and many other molecular systems. The group is also interested in applying novel optimization techniques, including Tabu search and genetic algorithms, to the flux analysis of metabolic networks, and in parallel computing applied to chemical engineering optimization problems.

A second line of research focuses on the use of new computing and networking technology to improve chemical engineering research and communications. Using the Access Grid Node at the Department of Chemical and Petroleum Engineering at the University of Kansas, researchers in this group use live video and audio conferencing to hold seminars, meetings and discussions over the internet. Camarda is also interested in integrating chemical engineering tools, such as process simulators, within Access Grid technology to allow for multi-site, multi-user design research.

Selected Publications

Tula, Anjan K, Bridgette Befort, Nipun Garg, Kyle V Camarda, and Rafiqul Gani. “Sustainable Process Design & Analysis of Hybrid Separations.” Journal Articles. Computers and Chemical Engineering, March 1, 2017.

Abedin, Farhana, Brock Roughton, Qiang Ye, Paulette Spencer, and Kyle Camarda. “Computer-​Aided Molecular Design of Water Compatible Visible Light Photosensitizers for Dental Adhesive.” Journal Articles. Chemical Engineering Science 159 (August 3, 2016): 131–39.

Abedin, Farhana, Qiang Ye, Linyong Song, Xueping Ge, Kyle V Camarda, and Paulette Spencer. “ Effect of Partition of Photo-​Initiator Components and Addition of Iodonium Salt on the Photopolymerization of Phase-​Separated Dental Adhesive .” Journal Articles. JOM  The Journal of the Minerals, Metals and Materials Society, April 1, 2016.

Anwar, Rajib, Kyle V Camarda, and Sarah Kieweg. “Mathematical Model of Microbicidal Flow Dynamics and Optimization of Rheological Properties for Intra-Vaginal Drug Delivery: Role of Tissue Mechanics and Fluid Rheology .” Journal Articles. Jouranl of Biomechanics, May 25, 2015.

Abedin, Farhana, Paulette Spencer, Qiang Ye, and Kyle Camarda. Computational Molecular Design of Water Compatible Dentin Adhesive System. Conference Proceedings. Proceedings  of the 12th International Conference on Process Systems Engineering, Copenhagen, Denmark, May 2015. Vol. 37. Amsterdam, Netherlands: Elsevier, 2015.

Tarar, Haider, Brock C Roughton, and Kyle V Camarda. Proceedings of the 8th International Conference on Foundations of Computer-Aided Process Design – FOCAPD 2014. Conference Proceedings. Computers and Chemical Engineering. Elsevier, 2014.

Roughton, Brock C., E. M. Topp, and Kyle V. Camarda. “Use of Glass Transitions in Carbohydrate Excipient Design for Lyophilized Protein Formulations.” Journal Articles. Computers and Chemical Engineering 36 (2012): 208–16.