Scientific Publications
, [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.
K Odoh, Connect the dots: Dataset Condensation, Differential Privacy, & Adversarial Uncertainty, 
, 2024.
K Odoh, Tortoise: An Authenticated Encryption Scheme, , 2023.
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.
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.
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
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
Please feel free to donate to support my work by clicking 
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.
Highlighted Blog Posts
K Odoh, Probing Real-World Cryptosystems , 2023.
K Odoh, Privacy at your Fingertips , 2022.
K Odoh, Upcoming new book on Distributed Computing , 2022.
K Odoh, PySmooth: A time series library from first principles, 2019.
K Odoh, Fake news: An exploratory dive into ways to identify misinformation in a network, 2019.
Technical Reports
K Odoh, Visual overviews of online news streams, , 2016.
K Odoh, Design and implementation of a web-based auction system, , 2012.