Kato Mivule

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Dr. Kato Mivule is an Assistant Professor at Norfolk State University. His research interests include data privacy, cybersecurity data sharing, and data analytics. Dr. Kato Mivule is an adept researcher and educator with over 10+ years experience of Information Technology and investigative study in data privacy and cybersecurity data sharing implementations, including the application of machine learning algorithms for gauging the usability of privatized data. Dr. Mivule always appreciates and employs critical thinking as a means to creatively identify and resourcefully provide innovative solutions to complex problems requiring a synthesis of knowledge and approaches. As a life-long learne...

data privacy data analytics data mining data modeling data utility machine learning data privacy engineering software engineering cybersecurity health data systems data privacy modeling. signal processing matlab uganda noise addition data protection health data analytics cancer diagnostics big data predictive analytics privacy agent codon frequency table dna obfuscation genomics data privacy rapid miner genetic algorithms dna sequencing dna information science dissertation science announcement differential privacy high performance computing programming cuda gpu classification adaboost multi-agent learning multi-agents iris fisher data set knn classification abstraction ai agents mobile robots layered control systems decomposition hierarchy wireless privacy pseudo random number generators security africa kato mivule

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Aktuellste Beliebteste SlideShares

Lit Review Talk - Signal Processing and Machine Learning with Differential Privacy Algorithms and challenges for continuous data

Vor 10 Jahren • 1584 Aufrufe

A Comparative Analysis of Data Privacy and Utility Parameter Adjustment, Using Machine Learning Classification as a Gauge

Vor 10 Jahren • 989 Aufrufe

Kato Mivule

Cancer Diagnostic Prediction with Amazon ML – A Tutorial

Kato Mivule - Towards Agent-based Data Privacy Engineering

An Investigation of Data Privacy and Utility Using Machine Learning as a Gauge

Lit Review Talk by Kato Mivule: A Review of Genetic Algorithms

Lit Review Talk by Kato Mivule: Protecting DNA Sequence Anonymity with Generalization Lattices (Malin, 2005)

An Investigation of Data Privacy and Utility Using Machine Learning as a Gauge

Lit Review Talk - Signal Processing and Machine Learning with Differential Privacy Algorithms and challenges for continuous data

A Comparative Analysis of Data Privacy and Utility Parameter Adjustment, Using Machine Learning Classification as a Gauge

Kato Mivule: An Overview of CUDA for High Performance Computing

Literature Review: The Role of Signal Processing in Meeting Privacy Challenges: An Overview

Kato Mivule: An Overview of Adaptive Boosting – AdaBoost

Kato Mivule: COGNITIVE 2013 - An Overview of Data Privacy in Multi-Agent Learning Systems

Kato Mivule: An Investigation of Data Privacy and Utility Preservation Using KNN Classification as a Gauge

Towards A Differential Privacy Preserving Utility Machine Learning Classifier

A Robust Layered Control System for a Mobile Robot, Rodney A. Brooks; A Software Engineering Perspective

Two Pseudo-random Number Generators, an Overview

Applying Data Privacy Techniques on Published Data in Uganda

Utilizing Noise Addition For Data Privacy, an Overview