Instructors¶

Dr. Gregor von Laszewski¶

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

• cloudmesh
• big data for NIST
• big data benchmarking.
• scientific impact of supercomputer and data centers.
• STEM and other educational activities while using robotics or big data

Please contact me if you are interested in this.

Dr. Geoffrey C. Fox¶

Greoffrey 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).

Dr. Badi’ Abdul-Wahid¶

Badi’ received a Ph.D. in Computer Science at the University of Notre Dame under Professor Jesus Izaguirre. The primary focus of his graduate work was the development of scalable, fault-tolerant, elastic distributed applications for running Molecular Dynamics simulations.

At Indiana University, Badi’ works with the FutureSystems project on a NIST-funded study whose goal is to understand patterns in the development and usage of Big Data Analysis pipelines.

Teaching Assistants¶

Jerome Mitchell¶

Jerome Mitchell is a Ph.D candidate in computer science at Indiana University and is interested in coupling the fields of computer and polar science. He has participated in the United State Antarctic Program, (USAP), where he collaborated with a multidisciplinary team of engineers and scientists to design a mobile robot for harsh polar environments to autonomously collect ice sheet data, decrease the human footprint of polar expeditions, and enhance measurement precision. His current work include: using machine learning techniques to help polar scientists identify bedrock and internal layers in radar imagery. He has also been involved in facilitating workshops to educate faculty and students on the importance of parallel and distributed computing at minority-serving institutions.

Dimitar Nikolov¶

Dimitar Nikolov is a PhD student in the Computer Science program at Indiana University since August 2008. His research interests include online social networks, tagging systems and web mining. As part of his PhD he conducts research with the NaN group, led by Professor Fil Menczer. His thesis topic is TBD.

Vibhatha Abeykoon¶

Vibhatha Abeykoon is a PhD student in the Intelligent Systems Engineering program at Indiana University since August 2016. His research interests include machine learning, singal processing, source seperation, deep learning, big data and distributed systems. As part of his PhD he conducts research with Professor Geoffrey C. Fox and Assistant Professor Minje Kim. His thesis topic is TBD.

Miao Zhang¶

Miao Zhang PhD student working primarily on computer network related stuff. Currently focuses on network performance monitoring and forecasting.

Tony Liu¶

Tony Liu is a PhD student in the Intelligent Systems Engineering program at Indiana University since August 2016. He received his Master degree in Computer Science program in May 2016 at IU. His research interests are high performance computing, computer systems and computer architecture. He used to work under Professor Thomas Sterling and Professor Andrew Lumsdaine from Center for Research in Extreme Scale Technology (CREST) on HPX-5 runtime system project. His currently works on benchmarking Intel Xeon Phi Knights Landing processor with Caffe under Professor Judy Qiu and Professor Lei Jiang.