University of Wyoming Electrical Engineering and Computer Science logo over student

Duong Ngoc Nguyen

Duong Ngoc Nguyen


Assistant Professor

Computer Science

Room 5060, Engineering Building 

duong.nguyen@uwyo.edu

 

University of Wyoming
College of Engineering and Physical Sciences
Department of Electrical Engineering and Computer Science

Dept. 3315

1000 E. University Avenue
Laramie, WY 82071

 

 

Education:

  • Ph.D., Computer Science, Michigan State University, East Lansing, Michigan
  • M.S., Computer Science, Purdue University, West Lafayette, Indiana
  • B.S., Information Technology, Hanoi University of Science and Technology, Hanoi, Vietnam
Duong Ngoc Nguyen

Area of Expertise:

Distributed computing, distributed systems, distributed monitoring, fault-tolerance, formal methods, cloud computing with a focus on improving the reliability and performance of large-scale distributed computing on the cloud.

Recent publications

Journal articles

  1. Duong N. Nguyen, Sorrachai Yingchareonthawornchai, Vidhya Tekken Valapil, Sandeep S. Kulkarni, and Murat Demirbas. Precision, recall, and sensitivity of monitoring partially synchronous distributed systems. Distributed Computing 34, 319–348 (2021). https://doi.org/10.1007/s00446-021-00402-w
  2. Duong N. Nguyen, Aleksey Charapko, Sandeep S. Kulkarni, and Murat Demirbas. Using weaker consistency models with monitoring and recovery for improving performance of key-value stores. J Braz Comput Soc 25, 10 (2019). https://doi.org/10.1186/s13173-019-0091-9.
  3. Sorrachai Yingchareonthawornchai, Duong N. Nguyen, Sandeep S. Kulkarni, and Murat Demirbas. Analysis of bounds on hybrid vector clocks. IEEE Transaction on Parallel and Distributed Systems, 29(9):1947–1960, 2018.

Conference papers

  1. Sandeep S. Kulkarni, Gabe Appleton, Duong N. Nguyen. Achieving Causality with Physical Clocks. In 23th International Conference on Distributed Computing and Networking, ICDCN 2022, pages 97 – 106, 2022.
  2. Nguyen and S. S. Kulkarni. Benefits of Stabilization versus Rollback in Self-Stabilizing Graph-Based Applications on Eventually Consistent Key-Value Stores. 2020 International Symposium on Reliable Distributed Systems (SRDS), Shanghai, China, 2020, pp. 11-20, doi: 10.1109/SRDS51746.2020.00009.
  3. Duong N. Nguyen, Sandeep S. Kulkarni, and Ajoy K. Datta. Benefit of self-stabilizing protocols in eventually consistent key-value stores: a case study. In Proceedings of the 20th International Conference on Distributed Computing and Networking, ICDCN 2019, Bangalore, India, January 04-07, 2019, pages 148 – 157, 2019.
  4. Duong N. Nguyen, Aleksey Charapko, Sandeep S. Kulkarni, and Murat Demirbas. Using weaker consistency models with monitoring and recovery for improving performance of key-value stores. In The 8th Latin-American Symposium on Dependable Computing, LADC 2018, Foz do Iguacu, Brazil, October 08-10, 2018, 2018.
  5. Sorrachai Yingchareonthawornchai, Duong N. Nguyen, Vidhya Tekken Valapil, Sandeep S. Kulkarni, and Murat Demirbas. Precision, recall, and sensitivity of monitoring partially synchronous distributed systems. In 16th International Conference on Runtime Verification, RV 2016, Madrid, Spain, September 23-30, 2016, Proceedings, pages 420 – 435, 2016.
 
 
 
 
 
 
 






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