Mission and Vision

Research Computing at 黑料网 (KSU) promotes research utilizing high performance computing infrastructure for faculty, researchers, staff, and students by fostering secure and ethical computing, processing and data analysis while promoting diversity, collaborations and outreach.

Research Computing aims to provide algorithmic, data-oriented, machine learning and architectural solutions for faculty, researchers, and students besides providing high performance hardware and software resources to promote research at 黑料网. Beyond making high performance computing resources available to researchers, Research Computing aims to collaborate with the faculty in writing proposals and participate in solving problems that require high performance computing. Moreover, Research Computing aims to build a network of researchers who are or plan to be involved in high performance computing to foster research and proposal submissions at 黑料网.

scrappy taking a picture at the ksu sign on campus.

Research Computing People

Dr. Ramazan S. Aygun joined 黑料网 as a Director of Research Computing and an Associate Professor in the Department of Computer Science in 2020 with a joint appointment in the School of Data Science and Analytics. He has published or presented over 100 refereed international journal/conference/workshop papers and book chapters in various aspects of data science including data mining, data modeling, data communications, data compression, data presentation, data retrieval, data indexing, data querying, and data fusion. He has performed research on protein crystallization analysis, bioinformatics/biochemistry, data mining, machine learning, computer vision, image & video processing, information retrieval, spatiotemporal indexing & querying, multimedia synchronization, and multimedia databases. Dr. Aygun served as a program co-chair of the IEEE International Symposium on Multimedia in 2012 and 2018. He served on the organization and program committees of around 60 conferences and workshops. He also served as an Associate Editor of IEEE Transactions on Multimedia from 2018 to 2020. He is a co-author of the book titled "Data Analytics for Protein Crystallization" published by Springer in 2017.

Research Interests: Data Science, Big Data Analytics, Machine Learning, Data Mining,  Protein Crystallization, Bioinformatics, Querying & Indexing, Computer Vision, Video & Image Processing, Robotics, Multimedia Systems, Multimedia Information Retrieval, Multimedia Databases, Multimedia Networking & Synchronization

Tom Boyle has worked at 黑料网 since the Spring of 2003.  Originally, he supported the Learning Management Systems and the early adopters of these services.  He has long been interested in using Linux and open-source software to find solutions for academic situations.  As the web footprint of the university grew, he worked to deliver dynamic web content for a wide range of custom websites.  In 2012, the early research computing resources were founded within the Advanced Computing department. By 2015, he launched a small student computing cluster built with free software and retired enterprise hardware. In the Summer of 2019, Tom joined the Office of Research where he continues to support research computing efforts through outreach and training.

Research Computing Advisory Committee

Name
Position

  • Assistant Professor of Quantitative Analysis

    havci@kennesaw.edu
    (470) 578-3913
    BB 344

  • Graduate Research Assistant

    mboyapat@kennesaw.edu

  • Chief Technology Officer (CTO) and Executive Director, Infrastructure Engineering

    dgaetano@kennesaw.edu
    (470) 578-6620
    TS 019

  • Professor of Computer Science

    chung1@kennesaw.edu
    (470) 578-3793
    J 384

  • Professor of Chemistry

    mkaledin@kennesaw.edu
    (470) 578-6281
    SC 434

  • Associate Professor of Civil Engineering

    akaplan8@kennesaw.edu
    (470) 578-5084
    L 157

  • Associate Professor of Communication

    mminooie@kennesaw.edu
    (470) 578-6599
    SO 5108