Prof Syamala Krishnannair

# A Node For African Thought

Research and Innovation

To achieve and maintain the University’s vision and mission, the research and innovation division contributes mainly by promoting the research related goal of the institution which is: to drive growth in UNIZULU research and Innovation

Faculty: Science, Agriculture and Engineering

Department: Mathematical Science

Discipline: Applied Mathematics and Applied Statistics

Contact details

Email: KrishnannairS@unizulu.ac.za

Campus: KwaDlangezwa

Research Interest Areas

Signal Processing,
Image Processing,
Multivariate Statistical Process Monitoring,
Time Series Analysis,
Machine Learning

Research Niche Area(s) of current projects

Automation and Control, Observational Cosmology and Data Analysis, SoTL in Higher Education

Active Research Projects

Thuthuka( NRF) Project

Impactful Research Publications

(Author(s); Year; Title; journal / publisher)

S. Krishnannair, "Industrial Process Fault Detection Using Singular Spectrum Analysis and Kernel Principal Component Analysis," 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020.

A Krishnannair and S Krishnannair, “Learning environments in higher education: Their adaptability to the 4th industrial revolution and the 'social transformation' discourse, South African Journal of Higher Education, 2021

S Krishnannair, C Aldrich, GT Jemwa,” Detecting faults in process systems with singular spectrum analysis”, Chemical Engineering Research and Design, 2016.

Research Platform

Research Gate: https://www.researchgate.net/scientific-contributions/Syamala-Krishnannair-2210980750