Work with thought leaders and academic experts from University of KwaZulu-Natal

Researchers on NotedSource with connections to University of KwaZulu-Natal include Dr Andrew McKune, DTech, CSCS, Matt Hitchins, Ph.D., Osaye Fadekemi, PhD, Filip Wudarski, Lou Levine, and Kemi Adewale.

Dr Andrew McKune, DTech, CSCS

Canberra, Australian Capital Territory, Australia
Professor of Applied Physiology, focusing on exercise, nutrition, and stress physiology, applying non-invasive biomarkers to optimise health, performance, and recovery in sport, clinical, and community settings.
Education

Tshwane University of Technology

Doctorate, Sport and Exercise Science / September, 2005

Pretoria

University of KwaZulu-Natal

Master of Medical Science, Physiology / September, 1997

Durban

Rhodes University

BA (Hons) Human Movement Studies, Sport and Exercise Science / April, 1994

Grahamstown

Rhodes University

Bachelor of Arts, Human Movement Studies (Sport and Exercise science) and Psychology / April, 1993

Grahamstown
Research Expertise
Stress Physiology
Inflammation & Bioenergetic Dysfunction in Injury and Illness
Heart Rate Variability
Salivary Bioscience
Exercise Induced Muscle Damage
And 4 more
About
Dr Andrew McKune is an experienced sport and exercise scientist, with a Doctorate in Sport and Exercise Science, a Master of Medical Science in Physiology, a BA (Hons) in Human Movement Studies, and a Bachelor of Arts in Human Movement Studies and Psychology. He has over 20 years of experience in academia, with positions as a Full Professor and Associate Professor at the University of Canberra, and Associate Professor at the University of KwaZulu-Natal, and Tshwane University of Technology. His areas of expertise include cardiovascular physiology, exercise immunology, strength and conditioning, applied physiology, and sport and exercise science. Dr McKune is also a Certified Strength and Conditioning Specialist (CSCS), demonstrating his practical knowledge and experience in the field. He has over 170 publications in peer-reviewed journals, and has presented at 98 international conferences. Dr McKune is dedicated to advancing the field of sport and exercise science through his teaching, research, and practical experience.

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Matt Hitchins, Ph.D.

London
Data Science Lead, Mercer
Education

Ph.D., Cognitive Neuroscience / May, 2017

Washington DC, District of Columbia, United States of America

University of KwaZulu-Natal

MA, Cognitive Science / June, 2012

Durban

University of KwaZulu-Natal

BA, Cognitive Science / November, 2010

Durban
Research Expertise
Data Science
Research
Talent Analytics
Business Consulting
Applied Statistical Modeling
And 4 more
About
<br> Matt Hitchins is an accomplished data scientist with a passion for applied data science and analytics. He holds a Ph.D. in Cognitive Neuroscience from George Washington University, where he specialized in understanding human decision making processes. Prior to his doctoral studies, Matt earned a Master's degree and Bachelor's degree in Cognitive Science from the University of KwaZulu-Natal. After completing his education, Matt has held various leadership positions in the field of data science and analytics. He is currently a Data Science Lead at Mercer, where he helps clients in various industries harness the power of data analytics to make informed business decisions. Previously Matt served as a Director of Quantitative Analytics and Data Science at Gartner where he led a team of quantitative analysts and data scientists conducting data-driven talent analytics research. Matt's expertise lies in using advanced techniques to extract insights from complex data sets and translating those insights into actionable strategies. He is also a skilled communicator, able to effectively present complex data to non-technical stakeholders.

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Osaye Fadekemi, PhD

Assistant Professor of Mathematics at Alabama State University with expertise in Graph Theory and Network Modeling
Education

University of Johannesburg

Doctor of Philosophy, Department of Pure and Applied Mathematics / July, 2019

Auckland Park

University of KwaZulu-Natal

Master of Science, School of Mathematics, Statistics and Computer Science / March, 2015

Durban

African Institute For Mathematical Sciences Ghana

Master of Science, Mathematical Sciences / June, 2013

Biriwa

Federal University of Technology Akure School of Sciences

Bachelor of Technology, (Honours), Mathematical Sciences / September, 2008

Akure
Research Expertise
Graph Theory
Network Modeling
Disease Modeling
Discrete Mathematics and Combinatorics
Theoretical Computer Science
And 7 more
About
Dr Fadekemi Janet Osaye is a mathematician whose primary research interest is in graph theory and network modeling. In particular, she is interested in distance measures in graphs and their applications to solving many real-world problems. Her interest in discrete mathematics was inspired by her research project carried out at AIMS Ghana. She has published several articles in reputable journals and has presented in several conferences across the globe. In 2019, she became the first black female to be awarded a PhD in Mathematics by the University of Johannesburg, South Africa, in its 116 years of its existence. Since June 2021, she has been an Assistant Professor of Mathematics at Alabama State University and was previously a Visiting Assistant Professor at Auburn University. She is the founder of GirlsMatics Foundation, a STEM non-governmental organisation for girls in Nigeria which was motivated by her involvement with AIMS Ghana’s outreach programs for high school students in Biriwa, Ghana. She is also the co-founder of FadNna Partners, an analytics and management firm based in Lagos, Nigeria.

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Filip Wudarski

Ph. D. in Physics || Quantum Computing Expert || Ex-NASA scientist || Quantum Machine Learning || AI || Quantum Simulations
Experience

USRA and NASA QuAIL

Associate Scientists / March, 2019January, 2021

As a member of NASA QuAIL team I focused on research in: benchmarking quantum hardware and algorithms, building noise models for quantum circuits, developing novel quantum algorithms, investigated properties of variational quantum algorithms. Additionally, I was actively contributing in writing grant proposals, supervision of interns (grad and undergrad students), and collaboration with industrial partners (e.g. Google, IBM, Rigetti).

Scientist / January, 2021October, 2022

Continued to work on various topics in the field of quantum computing, like: building machine learning models for quantum chemistry, developed new quantum algorithms, simulated quantum systems and quantum circuits. Supervised interns and applied for research grants.

USRA

Scientist / November, 2022Present

Developed quantum machine learning models for modeling chaotic systems, in particular proposed and tested (both in classical simulation and quantum simulation) a hybrid quantum reservoir computing algorithm.

University of KwaZulu-Natal

NITheP Postdoctoral Fellow / September, 2015February, 2017

Characterized (non-)Markovian dynamics of open quantum systems. Proposed a photonic experiment for testing non-convex mixing of open quantum systems dynamics that later was realized at UKZN. Prepared and conducted lecture and tutorials for undergraduate students.

University of Freiburg

Visiting Researched / March, 2017February, 2019

Visited the group of Prof. Buchleitner as a winner of Mobility Plus grant awarded by Polish Ministry of Higher Education. During my 2 years stay I investigated entanglement properties of variational quantum eigensolver (in collaboration with IBM Zurich), as well as statistical properties of the D-Wave quantum annealer (in collaboration with VW DataLab). Additionally, I continued investigating properties of entanglement witnesses and open quantum systems. I conducted tutorials for Master's students. During my visit I co-supervised Bachelor's and Master's students.

Research Expertise
Quantum Information
Open Quantum Systems
Quantum Computation
Quantum Machine Learning
Quantum Chemistry
And 11 more
About
Accomplished Quantum Computing researcher with a global perspective and extensive industry collaborations. Visionary leader with a proven track record conceiving and leading impactful projects in QC, ML, QML, Quantum Chemistry, and Mathematical Physics. Experienced supervisor, interdisciplinary expert, and effective communicator ready to bring Quantum Computing to useful Quantum Advantage and Fault-Tolerant regime.

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Kemi Adewale

Tutor at University of Kwazulu-Natal Durban South Africa
Education

University of KwaZulu-Natal

School of Chemistry and Physics

Durban

Ladoke Akintola University of Technology

Pure and Applied Physics / November, 2013

Ogbomoso
Experience

University of Kwazulu-Natal Durban South Africa

Tutor / July, 2017December, 2023

About
r undergraduate studies at the LadokeAkintolaUniversityofTechnology, Ogbomoso in 2013, where she specialized in the field of Pure and Applied physics. During her time at the university, Kemi excelled in her studies and developed a passion for the subjects. After graduating, Kemi continued her academic pursuits and completed a Master's degree in Condensed Matter Physics from University of KwaZulu-Natal in 2019. Her research focused on the applications of physics in various industries, including Nanotechnology and materials science. Aside from her academic achievements, Kemi also gained practical experience as a tutor at the University of KwaZulu-Natal in Durban, South Africa. As a tutor, she helped students understand complex scientific concepts and assisted them in their coursework and exam preparations. Kemi's combination of education and experience has equipped her with a deep understanding of both Pure and Applied physics and Condensed Matter physics, making her a valuable asset in any scientific setting. She is a dedicated and driven individual, always seeking to expand her knowledge and contribute to the advancement of science.

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