Computer Science and Engineering
University of Nevada, Reno
Dr. Arslan received his Ph.D. in CSE from University at Buffalo, SUNY in 2016, M.S. in CSE from University of Nevada, Reno in 2011 and B.S. in CE from Bogazici University in 2010. He spent one year at the National Center for Supercomputing Applications (NCSA) as a postdoctoral research associate before joining to UNR.
Nov, 2020: RIVAChain (blockchain-based integrity verification for data transfers) is accepted at IEEE BigData workshop
Aug, 2020: A measurement paper on the latency characteristics of edge and cloud computing is accepted at IEEE Globecom 2020
Jul, 2020: Streaming transfer optimization paper is accepted at IEEE Cluster 2020
Jan, 2020: RIVA is accepted at IEEE Transactions on Parallel and Distributed Systems
Sep, 2019: Paper on sample transfer optimization using Deep Neural Network is accepted at INDIS 2019 workshop
Aug, 2019: Paper on game theoratical analysis of peer-to-peer storage systems is accepted at CNSM 2019
Apr, 2019: Paper on efficient sample transfers using time-series analysis is accepted at System and Network Telemetry and Analytics (SNTA) workshop
Mar, 2019: Our work on increasing the resilience of file transfers against silent data corruption is accepted at IEEE/ACM CCGrid 2019
Jul, 2020: NSF proposal is awarded with $1M. We will be working on the development of software-driven network infrastructure for wide-area hybrid sensor networks. We are hiring a postdoc and PhD students, please reach out if interested.
Jul, 2020: NSF proposal is awarded with $500K. We (together with UB collaborators ) will be working on the application of machine learning to networking problems.
Jul, 2020: Received $15K Amazon Web Services (AWS) research grant. Thanks Amazon!
Feb, 2019: NSF CRII proposal is awarded with $190K. The focus is applying online convex optimization to data transfer tuning problem in high-performance networks. Thanks NSF!
Jul, 2019: Shamminuj Aktar is awarded with Graduate Dean's Fellowship for $35K. Congratulations!
Jan, 2019: Received $15K Amazon Web Services (AWS) research grant. Thanks Amazon!
Streaming File Transfer Optimization for Distributed Science Workflows
Davut Ucar and Engin Arslan
IEEE International Conference on Cluster Computing (Cluster) 2020
RIVA: Robust Integrity Verification Algorithm for High-Speed File Transfers
Batyr Charyyev and Engin Arslan
IEEE Transactions on Parallel and Distributed Systems (TPDS) 2020
Towards Securing Data Transfers Against Silent Data Corruption
Batyr Charyyev, Ahmed Alhussen, Hemanta Sapkota, Eric Pouyoul, Mehmet Gunes and Engin Arslan
IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid) 2019.
Vivace: Online-Optimizing Congestion Control.
Mo Dong, Tong Meng, Doron Zarchy, Engin Arslan, Yossi Gilad, Brighten Godfrey, and Michael Schapira
15th USENIX Symposium on Networked Systems Design and Implementation (NSDI'18)
High Speed Transfer Optimization Based on Historical Analysis and Real-time Tuning
Engin Arslan and Tevfik Kosar
IEEE Transactions on Parallel and Distributed Systems (TPDS) 2018
Big Data Transfer Optimization Through Adaptive Parameter Tuning.
Engin Arslan, Bahadir A. Pehlivan and Tevfik Kosar
Journal of Parallel and Distributed Computing (JPDC) 2018
Application-Level Optimization of Big Data Transfers Through Pipelining, Parallelism and Concurrency.
Esma Yildirim, Engin Arslan, Jangyoung Kim and Tevfik Kosar
IEEE Transactions on Cloud Computing (TCC) 2016
HARP: Predictive Transfer Optimization Based on Historical Analysis and Real-time Probing.
Engin Arslan, Kemal Guner, Tevfik Kosar
IEEE/ACM International Conference on Supercomputing (SC) 2016
Energy-Aware Data Transfer Algorithms.
Ismail Alan, Engin Arslan, Tevfik Kosar
IEEE/ACM International Conference on Supercomputing (SC) 2015
Dynamic Protocol Tuning Algorithms for High Performance Data Transfers.
Engin Arslan, Brandon Ross, Tevfik Kosar
European Conference on Parallel and Distributed Computing (Europar) 2013
Dr Arslan teaches undergraduate and graduate level courses in the area of data intensive computing and high performance computing and networking.
CS 491/691 Data Intensive Computing
This course provides a broad introduction to the fundamentals in data intensive computing and its enabling systems architectures such as MapReduce, Spark, Hbase, and Hive.
CS 791 High Performance Systems and Networking
This course broadly examines high performance systems and networks. Specifically, it will cover topics on state-of-the art software and hardware tools used in today’s high performance computing clusters to provide extreme scale computing and networking opportunities.
Have questions about my research or how to get involved?
Dr. Engin Arslan
1664 North Virginia Street
Reno, NV 89557