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Dustin van der Haar

Senior Professor / Head of Department

University of Johannesburg

Dustin van der Haar is a Senior Professor and Head of Department at the Academy of Computer Science and Software Engineering at the University of Johannesburg. His research specializes in applied artificial intelligence for understanding and interpreting human-related data. He develops algorithms to analyze text, signal, and vision data that capture structural or behavioral aspects of humans, addressing real-world challenges.

As the 2023 Fulbright-Emory Distinguished Chair Awardee, Dustin has earned international recognition for his contributions. He is also a past co-chair of the South African Young Academy of Scientists (SAYAS), collaborating with the Department of Science and Innovation (DSI) and the Academy of Science of South Africa (ASSAf) to amplify the voices of emerging scientists and drive positive change in the country.

His expertise in pattern recognition spans biometrics, computer vision, and medical image analysis, earning him multiple national and international awards and publications. From enhancing security systems to refining dance moves like the Gwara Gwara, or ensuring your koeksisters are the perfect shade of golden brown while optimizing recycling processes—Dustin’s AI-driven solutions tackle problems that matter.

Lips
Ballet
Hemp
Antispoofing
Cricket
Food

Research Projects

Our research group is dedicated to developing advanced algorithms that tackle text, signal, and vision challenges related to critical human-centric domains: security, sports, and medicine. By harnessing the power of computer vision, machine learning, and deep learning, we drive innovation in what we call the three P’s—Protect, Play, and Preserve—spanning biometrics, sports analytics, and medical image analysis.

Our flagship projects include face antispoofing through unconventional techniques, action similarity and ranking for performance analysis, and optimizing deep learning for computer-aided diagnostics, all aimed at pushing the boundaries of AI-driven solutions for real-world impact

Current Projects

A joint effort between the University of Johannesburg (PI Prof Dustin van der Haar), Tshwane University of Technology (HDI co-applicant Prof Bertie Buitendag), Aalen University (PIs: Prof Christian Kloot & Prof Ralf Härting), and Pforzheim University (co-applicant Prof Thomas Schuster).

A collaboration between Ritsumeikan University to achieve multi-modal problematic behaviour detection for disaster prevention.

Enforce movement copyright protection through deep learning-based action similarity analysis.

An innovative video-driven Action Quality Assessment (AQA) system designed to help students refine their presentation skills.

Risk paper: Survival modelling - under review Profiling paper: Manifold+Clustering - under consortium review Injury prediction: Predicting injury without kinetics (only kinematics) - WIP Regression paper: Multivariate Kinematics⇒Kinetics - Drafting Representation paper: Foundational biomechanics model - Implementation done (target is November submission)

Collaborations

  • TRACE Project - Transparent Real-Time Analytics UJ, TUT, Aalen University, Pforzheim University
  • Project HARMONY - Anomaly Recognition & Mitigation Ritsumeikan University
  • Director success prediction Middlesex University and Brunel University, United Kingdom
  • Fish cell detection in blood film University of Johannesburg, South Africa
  • Automated backlift recognition in cricket players University of Johannesburg, South Africa
  • Alzheimer's Disease CAD systems Western Sydney University, Australia
  • Automated hockey player analysis North West University, South Africa
  • Medical label recognition Royal Holloway University and WITS
  • Move4Health Africa WITS, RU, UWC, AHRI, UFH, KU, Kenya and UPM
  • Predatory publishing detection SAYAS and ASSAF

Masters and Doctoral Supervision

Completed Masters
  • 2015-2018
    E.J. van der Westhuizen
    A wearable device-based framework for determining player effectiveness on the football pitch
  • 2016-2018
    E. Maeko
    An awareness and acceptance framework for access control of medical records in healthcare
  • 2017-2019
    C.N.F. Obodoekwe
    A Model for Health Insurance Claim Fraud Detection using Data Mining Methods
  • 2018-2019
    T. Jappie
    A Model for protecting personal information using Blockchain
  • 2018-2019
    M. Fourie
    A Ballet Pose Recognition Model using Computer Vision Methods
  • 2018-2020
    Z. Bhango
    Model for Inebriation Recognition in Humans Using Computer Vision
  • 2019-2020
    T. Moodley
    A Model for Cricket Stroke Recognition using Computer Vision Methods
  • 2019-2022
    S. Wessels
    An Optimized Deep Learning Model for Tumour Detection in Medical Imaging
  • 2020-2023
    W. Shaikjee
    Semantic Segmentation of solid recyclable waste for further separation and sorting
  • 2020-2022
    W. Farrukh
    Lip Print Based Authentication in Physical Access Control Environments
  • 2021-2022
    J. Orfao
    Generative Adversarial Network (GAN) based face antispoofing
  • 2021-2024
    T. B. Chiura
    Attack basketball play recognition using deep learning methods
Current Masters
  • 2024-now
    B. Matlatla
    An Unsupervised Spatio-Temporal Generative Approach for Anomaly Detection in Video Surveillance
  • 2024-now
    J. van der Vyver
    Identifying Diabetes Mellitus From Cerebral Perfusion and Cognitive Decline Clinical Data – A Deep Learning Binary Classification Approach
  • 2024-now
    U. Kagdi
    Segment Based Dance Style Classification Using Spatio-Temporal Features from Short Video Clip
  • 2024-now
    P. Matthee
    Detection of Problematic Behaviour through Depression Subtyping and Multimodal Latent Space Analysis using In-the-Wild Data
Completed Doctorates
  • 2019-2023
    E. Maeko
    A model for multimodal biometric selection within the driver licensing centres in South Africa
  • 2019-2024
    D. Lang
    A Model for Smart Key and Fingerprint Recognition Based Vehicle Access Control
  • 2020-2024
    M. Bowditch
    Automated choreographic annotation for ballet using computer vision
  • 2021-2025
    T. Moodley
    Cricket Pose Correction using Computer Vision
Current Doctorates
  • 2021-now
    I. Patel
    Investigating the Role of the Brain's Language Processing Centres in Identifying the different stages of Alzheimer's Disease from MRI Using Region Specific Analysis
    PhD Physiology (Neuroscience)
  • 2024-now
    J. Orfao
    Deep learning based spatio-temporal representations for biomechanic signals
    PhD Computer Science
  • 2024-now
    R. Spijkerman
    Target Shooting Sequence based Action Quality Assessment
    PhD Computer Science

Past Projects

  • Unsupervised behaviour anomaly detection in Video Surveillance 2025
  • Rowing Quality Assessment 2025
  • Bad posture recognition using computer vision 2024
  • Crohn's disease detection using colonoscopy 2024
  • Identifying thatch roofs in Malawi (CNN-based) 2024
  • Piracy detection for video footage 2024
  • Gunshot detection using audio 2024
  • Emotion recognition from facial expressions within the context of music 2024
  • Phishing detection 2024
  • Fingerprint-based Biometric Encryption 2024
  • Fraudulent document detection 2024
  • Single image Deraining and its impact in Object Detection 2024
  • Optimising parameters in convolutional neural networks for breast cancer detection 2022
  • Lip print recognition for access control 2022
  • Inebriation detection using biometric attributes within video 2021
  • Cricket stroke recognition using Convolutional Neural Networks 2020
  • Deep learning-based breast cancer classification using histopathology images 2020
  • Consolidated eye disease classification using deep learning 2020
  • Ballet pose recognition using computer vision methods 2019
  • Hemp leaf water stress detection and classification using computer vision 2019
  • A Recurrent Neural Network-Based Starcraft 2 Agent 2019
  • Dyslexia detection using handwriting analysis 2019
  • Fraudulent healthcare claim detection using machine learning 2018
  • Multimodal biometric access control awareness in healthcare 2018
  • Visa outcome prediction with Naïve Bayes classification 2018
  • Pronunciation detection for foreign language learning using MFCC and SVM 2018
  • A framework for user awareness for multi-modal authentication in hospitals 2018
  • Breast Cancer Recognition with Convolutional Neural Networks 2018
  • Cricket Stroke Recognition using Computer Vision 2018
  • Fatigue Estimation for football players using wearable sensors 2017
  • Speech-based language pronunciation detection using stochastic methods 2017
  • Nose recognition for access control 2017
  • A virtual piano using computer vision and gesture recognition 2016
  • Lie detection using computer vision methods 2016
  • Automated UAV drone reconnaissance for drowning rescue 2016
  • Dorsal hand vein recognition system for authentication 2015
  • Face and keystroke-based authentication 2015

Publications

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Teaching and Awards

Courses Taught

  • Introduction to Intelligent Systems: Supervised Learning Currently Teaching SLP
  • DBM2501 AI and Machine Learning at Pforzheim University Currently Teaching International
  • Introduction to Cyber and Information Security (INCSG5) Taught SLP
  • Introduction to Encryption Techniques (INTENT2) Taught SLP
  • Introduction to Digital Forensics (INTDIG3) Taught SLP
  • Foundations of Digital Forensics Taught SLP
  • Conducting Digital Investigations Taught SLP
  • Computer Science 3A - Advanced Data Structures (CSC03A3) Taught Undergraduate
  • Computer Science 2B - Data Communications (CSC02B2) Taught Undergraduate
  • Biometrics (IT28X27) Currently Teaching Honours
  • Big Data Analytics (IT28X30) Currently Teaching Honours
  • Masters and Doctorate Supervision in Human Centered Computing / AI for Human Understanding Currently Teaching Postgraduate

Grants and Awards

  • NRF C2 Rating (R30 000) 2024
  • Fulbright-Emory Distinguished Chair Award (39 014 USD) 2023
  • NRF NEO Frontiers Grant funding (R1 400 000) 2023
  • NRF KIC Grant funding (R100 000) 2023
  • UJ URC Equipment Grant R2 571 842 2022
  • NVIDIA Deep Learning Institute (DLI) University Ambassadorship 2021
  • DIRISA datathon competition winner 2020/2021
  • SAYAS Membership 2020
  • NRF KIC Travel Grant (R30000) 2019
  • DIRISA datathon competition winner 2019
  • Best Paper at the International Congress on ICT, London, UK 2019
  • Best Paper at the International Information Security South Africa, Pretoria 2018
  • Best Paper at the International Conference on Communication and Information Processing, Tokyo 2017
  • Best Paper at the International Conference on Robotics and Vision, Wuhan 2017
  • Best Paper at the Asia-Pacific Conference on Intelligent Robot Systems, Wuhan 2017
  • NRF Thuthuka Grant (R212500) 2016-2018
  • Mind Sports Provincial Colours 2009-2012
  • Telkom Centre of Excellence Masters Scholarship 2009-2011
  • Telkom Honours Postgraduate Scholarship 2008
  • Telkom Undergraduate Scholarship 2005-2007

Contact Details

  • Email: Contact Me
  • Contact Tel: +27 11 559 3657
  • Office: E-RING 225, Academy of Computer Science and Software Engineering,
    University of Johannesburg, APK Campus