PhD in CSIS - Computer Science Research Interests
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As a PhD student, you will immerse in research and course work to become an integral part of our department's research activities. You will work under supervision of one of faculty in a research area of your mutual interest. There is potential for interdisciplinary research in collaboration with faculty from other departments including Anschuts Medical School as long as all CSIS program requirements are met (see CSIS PhD program requirements).

Read the brief statements of research interest from CSE faculty below. You can contact the faculty directly to discuss your possible research interests.

Gita Alaghband, Professor, Co-Director of CSIS PhD Program:

My research interests in parallel processing and distributed systems include application programs, algorithm design, computer architectures, operating systems, performance evaluation, and simulation. I also have an interest in web-based educational simulation projects for students who are proficient in web-based programming and software engineering.

With the new multi-core architectures, parallel processing research is at the heart of developing new software, systems, and algorithms in order to be able to take advantage of the underlying parallelism. I have a broad research interest in all aspects of parallel and distributed systems. A good understanding of all aspects of parallel architectures, systems, software, algorithms is necessary to be able to achieve the performance of the new parallel computers and definitely supercomputers. 

I enjoy working with my students on many diverse projects including new parallel languages, weather modeling, load balancing,  simulation, and many others. For some of the project topics see my sample projects. I have co-authored numerous research articles with my students.

I have been involved in the design of the Force parallel programming language for scientific high performance applications, one of the first such languages. We have ported the language to more than 12 multiprocessors. My work on temporal characterization of parallel program performance was funded by NSF Research Initiation Award. My work on sparse matrices resulted in a new methodology for parallel solution of large sparse linear systems of equations on shared memory multiprocessors. My research and teaching experience have resulted in “Fundamentals of Parallel Processing” textbook published by Prentice Hall.

Bogdan Chlebus, Associate Professor, Chair:

For my research interests and activities please visit my research page.

Ilkyeun Ra, Associate Professor:

His research has focused on developing novel enabling technologies to integrate distributed systems with communications, and create one type of High Performance Distributed Computing (HPDC). HPDC (e.g., Cloud Computing, Grid Computing or Cluster Computing) is the field that effectively utilizes the advances in high speed networks, software technology, and parallel processing to deliver cost-effective high performance computing. His research details can be found from the http://carbon.cudenver.edu/~ikra