Algorithms Content
https://cs.ucdavis.edu/
Algorithms Content for Computer ScienceenFereydoun Hormozdiari
https://cs.ucdavis.edu/directory/fereydoun-hormozdiari
<h4>Research Interests</h4>
<h5>Algorithms for sequence (Genome) analysis</h5>
<ol><li><em>Computational methods for structural variation discovery and genotyping:</em> Structural variation are understudied type of genetic variation which have a significant effect on human health and evolution. As a lab we are working on developing novel computational methods for discovery of structural variation in whole-genome sequenced samples. We are interested in applying these methods to discover novel structural variation associated with complex disorders (e.g.</li></ol>February 24, 2020 - 3:50pmEric Bloschhttps://cs.ucdavis.edu/directory/fereydoun-hormozdiariSoheil Ghiasi
https://cs.ucdavis.edu/directory/soheil-ghiasi
<div>
<h5>Computer engineering, embedded systems, smart health</h5>
<p>Professor Ghiasi’s research is in the broad area of computer engineering, with an emphasis on system-level design and optimization of embedded systems for emerging application domains, such as artificial intelligence and smart health.</p></div>February 21, 2020 - 2:42pmJoseph Menkehttps://cs.ucdavis.edu/directory/soheil-ghiasiVladimir Filkov
https://cs.ucdavis.edu/directory/vladimir-filkov
<h5>Data science, software engineering, systems biology, network science, algorithms</h5>
<p>Filkov is a data scientist specializing in producing analytics from large data sets in the areas of empirical software engineering, systems biology of plants, applied network theory and combinatorial algorithms. He co-directs the <a href="https://decallab.cs.ucdavis.edu">DECAL lab</a>, which focuses on evidence-based methods to improve modern software engineering processes. He also works with plant biologists to understand and modify the processes of plant growth using genomic methods.</p>February 21, 2020 - 2:29pmJoseph Menkehttps://cs.ucdavis.edu/directory/vladimir-filkovJesus De Loera
https://cs.ucdavis.edu/directory/jesus-de-loera
<p>Professor Jesus A. De Loera works in discrete mathematics. He is particularly interested in applications of discrete <a href="http://en.wikipedia.org/wiki/Computational_geometry">computational geometry</a>, in topics such as algorithms, optimization, data science, statistics, and operation research. But he has also studied the combinatorial and topological structures arising from combinatorial and algebraic questions too.</p>February 21, 2020 - 1:05pmJoseph Menkehttps://cs.ucdavis.edu/directory/jesus-de-loeraNina Amenta
https://cs.ucdavis.edu/directory/nina-amenta
<h5>Computational geometry, computer graphics, visualization</h5>
<p>Amenta is interested in algorithms that use geometry. Much of her work involves collecting, processing and visualizing the three-dimensional shapes of objects. These algorithms are useful in computer graphics and, in higher dimensions, in optimization.</p>
February 18, 2020 - 11:46amAnonymoushttps://cs.ucdavis.edu/directory/nina-amentaCharles "Chip" Martel
https://cs.ucdavis.edu/directory/charles-martel
<p>Professor Martel's primary interests involve the design and analysis of efficient algorithms, with an emphasis on applications of algorithms. Recent work has focused on algorithms for network analysis and routing, graph algorithms and computer security.</p>
February 05, 2020 - 11:12amAnonymoushttps://cs.ucdavis.edu/directory/charles-martelDan Gusfield
https://cs.ucdavis.edu/directory/dan-gusfield
<p>Dr. Gusfield's primary interests involve the efficiency of algorithms, particularly for problems in combinatorial optimization and graph theory. These algorithms have been applied to study data security, stable matching, network flow, matroid optimization, string/pattern matching problems, molecular sequence analysis and optimization problems in population-scale genomics. Currently, he am focused on string and combinatorial problems that arise in computational biology and bioinformatics. Dr.</p>February 05, 2020 - 10:42amAnonymoushttps://cs.ucdavis.edu/directory/dan-gusfieldPatrice Koehl
https://cs.ucdavis.edu/directory/patrice-koehl
<h5>Computational geometry and topology, computational physics, computational biology</h5>
<p>Koehl is interested in the geometry, topology and dynamics of biological shapes. The Koehl groups develop new methods for characterizing the geometries of biomolecules and for predicting how they changes upon changes in their environments. These efforts aim to investigate the dynamics of large biomolecular systems such as viral particles, as well as their interactions against potential antibodies.</p>
February 04, 2020 - 11:14amAnonymoushttps://cs.ucdavis.edu/directory/patrice-koehl