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Assistant Professor; Ph.D. in Wireless Communications and Information Theory
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Assessing your cultural and operational fit
Linköping University
Data Scientist
June 29, 2026 – Present
SecAgg_not_private
June 10, 2024 – July 15, 2024
Simulation code for the paper “Secure aggregation is not private against membership inference attacks,” ECML PKDD, 2024. URL: https://arxiv.org/pdf/2403.17775.
View ProjectTUMA
April 30, 2024 – May 1, 2024
Matlab codes for the paper K.-H. Ngo, D. P. Krishnan, K. Okumus, G. Durisi, and E. G. Strom, "Type-based unsourced multiple access," April 2024.
View ProjectAoI_slottedALOHA_energyHarvesting
September 23, 2023 – June 4, 2024
Matlab codes for the paper [1] K.-H. Ngo, G. Durisi, A. Munari, and F. Lazaro, and A. Graell i Amat, "Timely status updates in slotted ALOHA networks with energy harvesting," submitted to IEEE Transactions on Communications, Apr. 2024, and its Globecom-2023 short version.
View ProjectHRRIS_for_MEC
February 13, 2022 – February 13, 2022
Matlab codes for paper 'K. -H. Ngo, N. T. Nguyen, T. Q. Dinh, T. -M. Hoang and M. Juntti, "Low-Latency and Secure Computation Offloading Assisted by Hybrid % Relay-Reflecting Intelligent Surface," in Proc. Int. Conf. Advanced Technologies for Communications (ATC), Hanoi, Vietnam, 2021, pp. 306-311.'
View ProjectUMA_random_user_activity
February 7, 2022 – May 26, 2023
Matlab codes for Unsourced Multiple Access With Random User Activity by K.-H. Ngo, A. Lancho, G. Durisi, and A. Graell i Amat
View ProjectAoI_prioritized_random_access
January 12, 2022 – January 12, 2022
Matlab codes for the paper K.-H. Ngo, G. Durisi, and A. Graell i Amat, "Age of information in prioritized random access," in 55th Asilomar Conference on Signals, Systems, and Computers, CA, USA, Oct. 2021.
View ProjectCultural Fit Analysis
The candidate's projects are heavily academic and research-oriented, primarily in wireless communications and signal processing, with some overlap into machine learning simulations. While this demonstrates a strong research mindset, the direct alignment with a typical 'Data Scientist' role in an industry setting is not fully clear without more diverse project types or explicit data science applications beyond simulations. The experience level is listed as 0, and the current role as 'Data Scientist' at a university starting in 2026 is unusual, suggesting potential data entry issues or a future academic appointment. This makes assessing cultural fit for a standard industry data scientist role challenging.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong focus on research and academic contributions. While this indicates analytical rigor and independent work, there is insufficient data to assess collaboration, communication, or stress handling in a corporate operational context. The psychometric test score is 0, providing no insight into these areas.