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Tshilidzi Marwala

Tshilidzi Marwala

D-Index & Metrics

Computer Science

D-Index
42
Citations
7759
World Ranking
8359
National Ranking
112

Research.com Recognitions

  • 2010 - Fellow, The World Academy of Sciences
  • 2010 - ACM Distinguished Member
  • 2009 - ACM Senior Member

Overview

Tshilidzi Marwala is affiliated with the United Nations University in Japan. Their research spans several main fields, including Computer Science, Economics, Econometrics and Finance, and Mathematics. This interdisciplinary scope reflects a broad engagement with both theoretical and applied aspects of these domains.

Their work covers a number of subfields, such as Artificial Intelligence, Economics and Econometrics, Statistics and Probability, Management Science and Operations Research, and Finance. Among the primary topics explored in their research are Markov Chains and Monte Carlo Methods, Stock Market Forecasting Methods, Complex Systems and Time Series Analysis, Gaussian Processes and Bayesian Inference, Computability, Logic, AI Algorithms, Decision-Making and Behavioral Economics, as well as COVID-19 epidemiological studies.

Frequent publication venues for their work include IEEE Access, arXiv (Cornell University), PLoS ONE, bioRxiv (Cold Spring Harbor Laboratory), and Neural Computing and Applications.

Some recent papers authored or co-authored by Tshilidzi Marwala are:

  • Bayesian inference of COVID-19 spreading rates in South Africa (2020, PLoS ONE)
  • Separable Shadow Hamiltonian Hybrid Monte Carlo for Bayesian Neural Network Inference in wind speed forecasting (2021, Energy and AI)
  • Stock Price Prediction Using Sentiment Analysis (2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC))
  • Antithetic Magnetic and Shadow Hamiltonian Monte Carlo (2021, IEEE Access)
  • Bayesian inference of local government audit outcomes (2021, PLoS ONE)

Frequent co-authors in their research include Rendani Mbuvha, Wilson Tsakane Mongwe, Tankiso Moloi, Peter Olukanmi, and Fulufhelo V. Nelwamondo.

Tshilidzi Marwala has contributed to book publications with several academic publishers. Titles include "Artificial Intelligence and Emerging Technologies in International Relations" (2020) and "On Rationality, Artificial Intelligence and Economics" (2022) with World Scientific, "Artificial Intelligence in Economics and Finance Theories" (2020) published by Advanced Information and Knowledge Processing, and "Artificial Intelligence and the Changing Nature of Corporations" (2021) with Springer International Publishing.

The scientist has also been recognized with distinctions such as ACM Distinguished Member (2010), Fellow of The World Academy of Sciences (2010), and ACM Senior Member (2009).

Best Publications

  • Finite Element Model Updating Using Computational Intelligence Techniques: Applications to Structural Dynamics

    Tshilidzi Marwala

  • The use of genetic algorithms and neural networks to approximate missing data in database

    Mussa Abdella;Tshilidzi Marwala

  • Missing data: A comparison of neural network and expectation maximization techniques

    Fulufhelo V. Nelwamondo;Shakir Mohamed;Tshilidzi Marwala

  • DAMAGE IDENTIFICATION USING COMMITTEE OF NEURAL NETWORKS

    Tshilidzi Marwala

  • Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques

    Tshilidzi Marwala

  • FAULT IDENTIFICATION USING FINITE ELEMENT MODELS AND NEURAL NETWORKS

    T. Marwala;H.E.M. Hunt

  • EARLY CLASSIFICATIONS OF BEARING FAULTS USING HIDDEN MARKOV MODELS, GAUSSIAN MIXTURE MODELS, MEL-FREQUENCY CEPSTRAL COEFFICIENTS AND FRACTALS

    Fulufhelo V. Nelwamondo;Tshilidzi Marwala;Unathi Mahola

  • Water Demand Prediction using Artificial Neural Networks and Support Vector Regression

    Ishmael S. Msiza;Fulufhelo Vincent Nelwamondo;Tshilidzi Marwala

  • Militarized Conflict Modeling Using Computational Intelligence

    Tshilidzi Marwala;Monica Lagazio

  • Image Classification Using SVMs: One-against-One Vs One-against-All

    Anthony Gidudu;Greg Hulley;Tshilidzi Marwala

  • Condition Monitoring Using Computational Intelligence Methods

    Tshilidzi Marwala

  • Model selection in finite element model updating using the Bayesian evidence statistic

    Linda Mthembu;Tshilidzi Marwala;Michael I. Friswell;Sondipon Adhikari

  • Economic Modeling Using Artificial Intelligence Methods

    Tshilidzi Marwala

  • Autoencoder networks for HIV classification

    Brain Leke Betechuoh;Tshilidzi Marwala;Thando Tettey

  • Bayesian training of neural networks using genetic programming

    Tshilidzi Marwala

  • Finite Element Model Updating Using Bayesian Framework and Modal Properties

    Tshilidzi Marwala;Sibusiso Sibisi

  • Probabilistic Fault Identification Using a Committee of Neural Networks and Vibration Data

    Tshilidzi Marwala

  • A new T-S fuzzy model predictive control for nonlinear processes

    Ilyes Boulkaibet;Khaled Belarbi;Sofiane Bououden;Tshilidzi Marwala

  • Machine and component residual life estimation through the application of neural networks

    M. A. Herzog;Tshilidzi Marwala;P. S. Heyns

  • Missing Data Imputation Through the Use of the Random Forest Algorithm

    Adam Pantanowitz;Tshilidzi Marwala

  • Missing Data: A Comparison of Neural Network and Expectation Maximisation Techniques

    Fulufhelo V. Nelwamondo;Shakir Mohamed;Tshilidzi Marwala

Frequent Co-Authors

Snehashish Chakraverty
Snehashish Chakraverty National Institute of Technology Rourkela
A. Varada Rajulu
A. Varada Rajulu Kalasalingam Academy of Research and Education
Marc Peter Deisenroth
Marc Peter Deisenroth University College London
Mohammed Chadli
Mohammed Chadli University of Paris-Saclay
Sanjeevikumar Padmanaban
Sanjeevikumar Padmanaban University of South-Eastern Norway
Esther T. Akinlabi
Esther T. Akinlabi University of Johannesburg
Qing-Guo Wang
Qing-Guo Wang University of Johannesburg
Wendy S. Stevens
Wendy S. Stevens National Health Laboratory Service

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