Nelvin Tan

Home | Publications | Teaching


Publications are listed in reverse chronological order.

Journal Papers:

[2] Performance Bounds for Group Testing With Doubly-Regular Designs
Nelvin Tan, Way Tan, and Jonathan Scarlett
(In Submission)
[arxiv]

[1] Near Optimal Sparsity-Constrained Group Testing: Improved Bounds and Algorithms
Oliver Gebhard, Max Hahn-Klimroth, Olaf Parczyk, Manuel Penschuck, Maurice Rolvien, Jonathan Scarlett, and Nelvin Tan
IEEE Transactions on Information Theory, 2021
[arxiv]

Conference Papers:

[3] Fast Splitting Algorithms for Sparsity-Constrained and Noisy Group Testing
Eric Price, Jonathan Scarlett, and Nelvin Tan
(In Submission)
[arxiv]

[2] An Analysis of the DD Algorithm for Group Testing with Size Constrained Tests
Nelvin Tan and Jonathan Scarlett
International Symposium on Information Theory (ISIT), 2021

[1] Near-Optimal Sparse Adaptive Group Testing
Nelvin Tan and Jonathan Scarlett
International Symposium on Information Theory (ISIT), 2020
[arxiv]

Reports:

[2] Fast Splitting Algorithms for Noisy and Sparsity-Constrained Group Testing
Nelvin Tan
Final Year Project, 2021
[thesis] [slides]

[1] Sparse Group Testing: Bounds and Algorithms
Nelvin Tan
Undergraduate Research Opportunity Program, 2020
[thesis] [slides]