Encourages creative and innovative thinking.
Creates dynamic and thought-provoking lessons.
Inspires curiosity and a love for knowledge.
Always goes above and beyond for students.
Great Professor!
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Professor Stephan Chalup is a Professor in the School of Electrical Engineering and Computing at the University of Newcastle, Australia. He serves as Deputy Head of School for Research and Research Training in the School of Computer and Information Sciences within the College of Engineering, Science and Environment. Chalup leads the Interdisciplinary Machine Learning Research Group and the Newcastle Robotics Lab, which he founded. After completing his PhD in Computing Science at Queensland University of Technology in 2002 as a member of the Machine Learning Research Centre, he joined the University of Newcastle and established the research group, now part of the robotics lab. His undergraduate studies in mathematics with neuroscience were conducted at the universities of Konstanz, Erlangen-Nuremberg, and Heidelberg in Germany, culminating in a Diplom in Mathematiker.
Chalup's research specializations encompass artificial intelligence, machine learning, artificial and deep neural networks, topological data analysis, manifold learning, computer vision, pattern recognition, intelligent robotics, affective computing, and big data analytics. Interdisciplinary applications include transportation, architecture, electrical engineering, medical imaging, environmental biology, and mining. He is Chief Investigator of the Australian Research Council Discovery Project "Estimating the Topology of Low-Dimensional Data Using Deep Neural Networks" (2021-2024) and has secured 51 grants totaling $4,750,637. Major awards include RoboCup World Championships in 2006 (Germany) and 2008 (China), Leadership Excellence Award (2024, College of Engineering, Science and Environment), Faculty of Engineering and Built Environment Award for Supervision Research Excellence (2015), Best Student Paper Awards at SocProS (2019), BIBE (2018), and ANZAScA (2011), Best Paper at IADIS (2005), and Engineering Challenge Paper Award at RoboCup (2004). Chalup edited "RoboCup 2019: Robot World Cup XXIII" (Lecture Notes in Computer Science, 2019) and "Artificial Life and Computational Intelligence: ACALCI 2015" (2015). Key publications feature "Topology Type Estimation of Simulated 4D Image Data by Combining Downscaling and Convolutional Neural Networks" (ACM Transactions on Graphics, 2025), "Noise-Robust Topology Estimation of 2D Image Data via Neural Networks and Persistent Homology" (2026), "Parallel TD3 for Policy Gradient-Based Multi-condition Multi-objective Optimisation" (2025), "Semi-Supervised Manifold Alignment Using Parallel Deep Autoencoders" (Algorithms, 2019), and "Estimating Betti numbers using deep learning" (IJCNN, 2019). He has served as conference chairs and program committee member for NeurIPS 2024, IJCNN 2023, and RoboCup 2019.
Dive into career opportunities, salaries, benefits, and culture at the School of Information and Physical Sciences (SIPS) at University of Newcastle. Explore lecturer roles, research positions, and professional growth in computing, data science, and mathematics.
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