Scientific Publications

K Odoh, Distributed Computing From First Principles,

, [IN PRESS], 2025.

K Odoh, Group-wise K-anonymity meets (ε, δ) Differentially Privacy Scheme. Proceedings of the International World Wide Web Conference (WWW),

, 2024.

arXiv

K Odoh, Connect the dots: Dataset Condensation, Differential Privacy, & Adversarial Uncertainty,

, 2024.

arXiv

K Odoh, Tortoise: An Authenticated Encryption Scheme,

, 2023.

CIKM

K Odoh, Real-Time Anomaly Detection for Multivariate Data Stream, 31st International Conference on Information and Knowledge Management (CIKM) workshop titled Applied Machine Learning Methods for Time Series Forecasting,

, 2022.

ELSEVIER

C Nwaoha, K Odoh , E Ikpatt, R Orji, R Idem, Process simulation, parametric sensitivity analysis and ANFIS modeling of CO₂ capture from natural gas using aqueous MDEA–PZ blend solution, Journal of Environmental Chemical Engineering,

, 2017.

OIR

O Hoeber, L Hoeber, M El Meseery, K Odoh , R Gopi, Visual Twitter Analytics (Vista) Temporally changing sentiment and the discovery of emergent themes within sport event tweets, Online Information Review,

, 2016.

Reviewing @ Conferences

PoPETs/PETS

Privacy Enhancing Technologies Symposium, [2025].

ICLR

International Conference on Learning Representations, [2024¹, 2025].

TheWebConf

International World Wide Web Conference, [2024¹].

ICML

International Conference on Machine Learning, [2024¹].

Professional Memberships

Internet Engineering Task Force
Serving as a volunteer applied researcher for shaping the next-generation privacy standards, 2024 -.

Awards

Honorary team mention in CTF challenge @Microsoft Corporation, 2022.

Judging @ Science Competitions

VDSF

Vancouver District Science Fair, [2024].

GVRSF

Greater Vancouver Regional Science Fair, [2024].

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Invited Talks

Differential Privacy: Foundations and Applications, Data Science Meetup, Vancouver, , , , 2023.

Distributed Computing From First Principles, Microsoft Corporation, Vancouver, , , 2022.

Authentication & Authorization From First Principles, Microsoft Corporation, Vancouver, , 2021.

Group panel discussion: On the Measure of Intelligence, , , 2020.

Landmark Retrieval & Recognition, , , 2018.
Special mention in a Kaggle competition and got a bronze medal in discussion category, 2019.

Tracking the tracker: Time Series Analysis in Python from First Principles, , , , , 2018.

Time-Sensitive Recommender System, , , 2018.

Compressed sensing using generative models, , , 2018.

Image segmentation applied to oil exploration, , , 2018.

Tutorial on Cryptography, , , 2018.

Professional (Editorial) Services

Technical reviewer for Getting Started with Python Data Analysis, Python Data Visualization Cookbook, Packt Publishing, and Art of feature engineering, Cambridge University Press, 2019.

I spearheaded an internal reading club at Intel Corporation, where we solved the concurrency puzzles posed in the book titled The Little Book of Semaphores by Allen B. Downey.

I led the Applied Cryptography meetup based on the book titled A Graduate Course in Applied Cryptography by Dan Boneh and Victor Shoup which is held once a month.

I had previously organized the Reliable and Distributed Systems Meetup, where we spent almost 1 year doing the entire exercises of the distributed system graduate program at KTH Sweden with material available here course 1 and course 2.