Engin Arslan

Engin Arslan

Assistant Professor

Prospective graduate students

Dr. Arslan is looking for self-motivated PhD students. Preferred qualifications:

  • M.S. degree in computer science or mathematics or B.S. degree with undergraduate research experience.
  • Experience in machine learning, computer networks, cloud computing, or software-defined networking
  • Strong coding skills
  • 160+ score in GRE quantitative exam

Learn more about our graduate programs 

Research interests

  • High-performance computing and networking
  • Edge and Cloud computing
  • Machine learning applications
  • Distributed systems
  • Storage Systems

Grants received

Conference Presentations

  • Batyr Charyyev and Engin Arslan. RIVA: Robust Integrity Verification Algorithm for High-Speed File Transfers. IEEE Transactions on Parallel and Distributed Systems (TPDS) 2020
  • Davut Ucar and Engin Arslan. Streaming File Transfer Optimization for Distributed Science Workflows. IEEE International Conference on Cluster Computing (Cluster) 2020
  • Batyr Charyyev, Ahmed Alhussen, Hemanta Sapkota, Eric Pouyoul, Mehmet Gunes and Engin Arslan. Towards Securing Data Transfers Against Silent Data Corruption. IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid) 2019

Selected publications

  • E. Arslan and T. Kosar. High Speed Transfer Optimization Based on Historical Analysis and Real-time Tuning. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2018
  • E. Arslan, B. Pehlivan, and T. Kosar. Big data transfer optimization through adaptive parameter tuning. Journal of Parallel and Distributed Computing (JPDC), 2018
  • M. Dong, T. Meng, D. Zarchy, E. Arslan, Y. Gilad, B. Godfrey, M. Schapira. PCC Vivace: Online-Learning Congestion Control. 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2018
  • E. Yildirim, E. Arslan, J. Kim and T. Kosar. Application-Level Optimization of Big Data Transfers Through Pipelining, Parallelism and Concurrency. Transactions on Cloud Computing (TCC), 2016
  • E. Arslan, K. Guner, T. Kosar. HARP: Predictive Transfer Optimization Based on Historical Analysis and Real-time Probing, IEEE/ACM Int. Conf. on Supercomputing (SC), 2016
  • E. Arslan, M. Yuksel, M. H. Gunes. Training Network Administrators in a Game-Like Environment. Journal of Network and Computer Applications (JNCA), 2015
  • I. Alan, E. Arslan, T. Kosar. Energy-Aware Data Transfer Algorithms. IEEE/ACM Int. Conf. on Supercomputing (SC), 2015
  • E. Arslan, B. Ross, T. Kosar. Dynamic Protocol Tuning Algorithms for High Performance Data Transfers. European Conference on Parallel and Distributed Computing (Euro-Par), 2013

Courses taught

  • CS 491/691 Data Intensive Computing
  • CS 791 High Performance Networking Systems