The course presents lectures in online form given by the instructors listed bellow. Many others have helped making this material available and may not be listed here.
Gregor von Laszewski is an Assistant Director of Cloud Computing in the DSC. His is also an Adj. Assoc. Professor of the Intelligent Systems Engineering Department at Indiana University. He held a position at Argonne National Laboratory from Nov. 1996 – Aug. 2009 where he was last a scientist and a fellow of the Computation Institute at University of Chicago. During the last two years of that appointment he was on sabbatical and held a position as Associate Professor and the Director of a Lab at Rochester Institute of Technology focussing on Cyberinfrastructure. He received a Masters Degree in 1990 from the University of Bonn, Germany, and a Ph.D. in 1996 from Syracuse University in computer science. He was involved in Grid computing since the term was coined. He was the lead of the Java Commodity Grid Kit (http://www.cogkit.org) which provides till today a basis for many Grid related projects including the Globus toolkit. Current research interests are in the areas of Cloud computing. He is leading the effort to develop a simple IaaS client available at as OpenSource project at http://cloudmesh.github.io/client/
His Web page is located at http://gregor.cyberaide.org. To contact him please send mail to laszewski@gmail.com. For class related e-mail please use Piazza for this class.
In his free time he teaches Lego Robotics to high school students. In 2015 the team won the 2nd prize in programming design in Indiana. If you like to volunteer helping in this effort please contact him.
He offers also the opportunity to work with him on interesting independent studies. Current topics include but are not limited to
Please contact me if you are interested in this.
Geoffrey C. Fox received a Ph.D. in Theoretical Physics from Cambridge University and is now distinguished professor of Informatics and Computing, and Physics at Indiana University where he is director of the Digital Science Center, Chair of Department of Intelligent Systems Engineering and Director of the Data Science program at the School of Informatics and Computing. He previously held positions at Caltech, Syracuse University and Florida State University after being a postdoc at the Institute of Advanced Study at Princeton, Lawrence Berkeley Laboratory and Peterhouse College Cambridge. He has supervised the PhD of 68 students and published around 1200 papers in physics and computer science with an index of 70 and over 26000 citations. He currently works in applying computer science from infrastructure to analytics in Biology, Pathology, Sensor Clouds, Earthquake and Ice-sheet Science, Image processing, Deep Learning, Manufacturing, Network Science and Particle Physics. The infrastructure work is built around Software Defined Systems on Clouds and Clusters. The analytics focuses on scalable parallelism.
He is involved in several projects to enhance the capabilities of Minority Serving Institutions. He has experience in online education and its use in MOOCs for areas like Data and Computational Science. He is a Fellow of APS (Physics) and ACM (Computing).
Hyungro Lee is a PhD candidate in Computer Science at Indiana University working with Dr. Geoffrey C. Fox. Prior to beginning the PhD program, Hyungro worked as a software engineer in the Cyworld Group (social networking platform in South Korea) at SK Communications, developing communications platforms including emails, texts and messaging at large scale to support over 40 million users. From this work he developed an interest in how distributed systems achieve scalability and high availability along with managing resources efficiently. He is currently working on the FutureSystems project to support Big Data Analysis Software Stacks in Virtual Clusters. He was also working on the FutureGrid project, an NSF funded significant new experimental computing grid and cloud test-bed to the research community, together with user supports. His research interests are parallel and distributed systems, and cloud computing
Juliette Zerick is a first-year ISE grad. She has not yet picked a specialization, but she has taken a liking to robotics. She received her undergraduate degree at the University of Mary Washington and has traveled to various schools and labs, eventually winding up working as a data scientist at AT&T, and now Indiana University. She does not like having her picture taken, so to locate her, just look for the TA lugging a motorcycle helmet around.
Saber Sheybani is a PhD student of Intelligent Systems Engineering - Neuroengineering at Indiana University Bloomington. He works with Dr Eleftherios Garyfallidis on medical image processing. He has contributed to DIPY, which is one of the most widely used software packages for Diffusion-MRI data analysis. He has also worked on parameter estimation for biological neural networks with Dr Eduardo Izquierdo. His research interests span the application of computational tools on analyzing neural data.