Dusan Ramljak

Dusan Ramljak headshot
Assistant Teaching Professor of Information Science, Engineering
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    Dusan Ramljak, assistant teaching professor of information science, joined Penn State Great Valley in 2021. He has applied data science on storage systems problems in NSF IUCRC projects with HPE, Dell, Huawei, and other companies and has more than 20 years of system admin experience facilitating business and research in various universities, institutes, and companies in the USA, Portugal, and Serbia. His research interests include solving challenging storage systems, provenance and caching problems, as well as developing and integrating distributed and parallel data mining and statistical learning technology for an efficient knowledge discovery at large sequence and temporal databases. Dr. Ramljak has developed and taught courses in computer and information science, systems control, mathematics, and electronics and mentored students doing CS research. He has co-authored dozens of publications and made numerous reviews for scientific journals and conferences. He has been actively supporting student initiatives and initiatives to bring science closer to a wider audience.

    Research Interests
    • Storage Systems
    • Artificial Intelligence, Data Science and Machine Learning
    • Parallelization, Metaheuristics and Optimization
    • Big Data and IoT
    • Blockchain

    Ramljak, Dusan, Tatjana Davidovic, Dragan Urosevic, Tatjana Jaksic Kruger, Luka Matijevic, Milan Todorovic, Djordje Jovanovic. "Combinatorial Optimization for Self Contained Blockchain: An Example of Useful Synergy." Accepted, 2021.

    Ramljak, Dusan. "Data Driven High Performance Data Access." Temple University, 2018.

    Ramljak, Dusan, Amitangshu Pal, and Krishna Kant. "Pattern mining based compression of IoT data." In Proceedings of the Workshop Program of the 19th International Conference on Distributed Computing and Networking, pp. 1-6. 2018.

    Ramljak, Dusan, Deepak Abraham Tom, Doug Voigt, and Krishna Kant. "Modular framework for data prefetching and replacement at the edge." In International conference on edge computing, pp. 18-33. Springer, Cham, 2018.<

    Ramljak, Dusan, and Krishna Kant. "Belief-based storage systems." In 9th {USENIX} Workshop on Hot Topics in Storage and File Systems (HotStorage 17). 2017.

    Ramljak, Dusan, Adam Davey, Alexey Uversky, Shoumik Roychoudhury, and Zoran Obradovic. "Casting a Wider Net: Data Driven Discovery of Proxies for Target Diagnoses." In AMIA Annual Symposium Proceedings, vol. 2015, p. 1047. American Medical Informatics Association, 2015.

    Ghalwash, Mohamed F., Ramljak, Dusan and Obradovic, Zoran. "Patient–specific early classification of multivariate observations." International journal of data mining and bioinformatics 11, no. 4 (2015): 392-411.

    Zhang, Y., Ramljak, Dusan, Luo, Xueming. "Using the Entire Network of Big Data to Predict Individual Behavior“, American Marketing Association 2014 summer academic conference, 2014.

    Crainic, Teodor Gabriel, Davidovic, Tatjana and Ramljak, Dusan. "Designing parallel meta-heuristic methods." In Handbook of research on high performance and cloud computing in scientific research and education, pp. 260-280. IGI Global, 2014.


    Ph.D., Computer and Information Sciences, CST, Temple University

    B.Sc. and M.Sc., Electrical Engineering - Systems Control, University of Belgrade, Serbia