Parallel Computing Professors and Supervisors in Australia

Marco ErnstView profile

Research Fellow

Australian National University (ANU)Australia

Marco Ernst is a Research Fellow at the ANU College of Engineering and Computer Science, specializing in photovoltaic research. He holds a PhD from Leibniz Universität Hannover (2013) and has worked extensively on laser-processing techniques and high-efficiency silicon solar cells since 2014 at ANU. His research focuses on optimizing solar cell performance through advanced materials, numerical simulations, and optical modeling. Education: Physics Diplom, Leibniz Universität Hannover (2008) PhD in Physics (Dr. rer. nat.), Leibniz Universität Hannover (2013) Research interests include high-efficiency silicon solar cell design, laser-based processing, numerical device simulations, and optical modeling of solar systems. He has contributed to advancements in bifacial solar module performance, energy yield prediction, and circular economy solutions for photovoltaic materials. His work combines experimental and computational methods to address real-world challenges in solar energy systems. Notable contributions include methodologies for predicting energy yield losses/gains under field conditions and pioneering studies on laser-doped contacts and passivation stacks. He is affiliated with the Solar Photovoltaics research group and actively publishes in top-tier journals related to photovoltaic science and engineering.

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Julian DermoudyView profile

Associate Professor

University of TasmaniaAustralia

Dr. Julian Dermoudy is an Associate Professor and Associate Head (Learning and Teaching) in the School of Information and Communication Technology at the University of Tasmania. With over 25 years of teaching experience, he has received national and institutional recognition for his pedagogical contributions. His roles have included Head of School, Associate Dean, and Course Coordinator, reflecting his leadership in academic administration. His teaching spans the Bachelor of ICT and Master of ITS programs. Research Interests: Learning and Teaching Innovations Computing Education and Curriculum Design Serious Games and Gamification for Behavior Change Multimodal Analysis and Verification Parallelism and Software Engineering Funded Projects: UTAS Internal Funding: Embedding Indigenous Knowledge in Curriculum (2021-2021) Advising: Supervised 11 doctoral candidates across domains like biometric authentication, ICT curriculum design, and mobile technology impact. Recent students include Simon Stanton (Cooperative Intent) and Shahan Chowdhury (Collaborative In-Store Shopping). Labs/Teams: Active in curriculum redesign initiatives and educational technology innovation, particularly in VR and gamification applications.

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Nasser AsgariView profile

Senior Lecturer

Flinders UniversityAustralia

Nasser Asgari is a Senior Lecturer in the College of Science and Engineering at Flinders University, Australia. He holds adjunct roles in the Medical Device Research Institute and serves as Teaching Program Director (TPD) for Engineering and Design. His key responsibilities include coordinating Electrical & Electronic Engineering and Robotics Engineering programs. Dr. Asgari's academic background includes a PhD in Computer Engineering from the University of Adelaide, an MSc in Communication Systems Engineering, and a BSc in Electronic Engineering. His research focuses on robotics, embedded systems, and computer vision applications in assistive technologies and disaster response. Specific interests include interprocessor communication, mobile robot navigation, and people detection using thermal/color cameras. His work spans multidisciplinary projects such as designing rescue robots with real-time vision systems and developing algorithms for thermal image analysis in disaster zones. He has published in journals like the International Journal of Mechanical Engineering and Robotics Research, and authored books on robotics applications. Teaching responsibilities include coordinating topics like ENGR2712 (Automation & Industrial Control), ENGR7851 (Advanced Electronic Design), and ENGR3771 (Robotic Systems). He actively contributes to curriculum development in cyber-physical systems, sensors/actuators, and advanced robotic systems.

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Christoph ArnsView profile

Professor

University of New South WalesAustralia

Professor Christoph Arns is a full Professor at the University of New South Wales (UNSW) School of Engineering, specializing in Mineral and Energy Resources Engineering. He has been at UNSW since 2008 and has held the position of full Professor since 2014. Currently, he leads the Geoenergy and Geostorage discipline within the school. Prior to joining UNSW, he was a research fellow at the Australian National University from 2001-2008. Professor Arns obtained his Dipl. Phys. from RWTH Aachen, Germany in 1996 and his PhD in Petroleum Engineering from UNSW Sydney in 2002. His academic background combines physics and petroleum engineering, creating a unique interdisciplinary perspective for his research. His primary research focus is on Digital Rock Physics, where he has pioneered computational pore-scale physics based on tomographic images. He specializes in integrating 3D tomographic imaging technology with NMR techniques for petrophysical applications, with particular emphasis on heterogeneity analysis. His work spans multiple sub-disciplines including pore-scale modeling, digital core analysis, rock physics, reservoir characterization, and Minkowski functionals for structural analysis. Professor Arns has developed the MPI-parallel software package 'morphy' for computational physics operating on segmented tomographic images, which includes sophisticated NMR response modeling, electrical property calculations, permeability estimation, elastic moduli determination, and morphological property analysis. His research has substantial industry relevance, as evidenced by his role as a founding member of Digital Core Pty Ltd, an ANU/UNSW spin-off that was sold to FEI for $76 million in 2014 and is now part of ThermoFisher. He has received significant research support through three successive Australian Research Council (ARC) fellowships. His scholarly contributions are reflected in numerous publications spanning from 2000 to 2025, with recent work focusing on advanced computational methods, machine learning applications in rock physics, and detailed analysis of fluid-rock interactions at the pore scale. Professor Arns maintains active leadership roles in multiple professional societies including Interpore (lifetime member, former council chair 2016-2019), Society of Core Analysts (Australasia Regional Director since 2016), Society of Petrophysicists & Well Log Analysts, Society of Exploration Geophysicists, and Society of Petroleum Engineers.

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Joseph GrotowskiView profile

Professor

University of QueenslandAustralia

Professor Joseph Grotowski is the Head of the School of Mathematics and Physics at The University of Queensland (UQ), with a career spanning institutions in Germany, the United States, and Australia. He holds a PhD in Mathematics from New York University (1990) and a Habilitation from Friedrich-Alexander Universitaet Erlangen-Nuernberg (2001). His research focuses on Geometric Analysis and Nonlinear Partial Differential Equations , with significant contributions to topology optimization, computational mechanics, and mathematical physics. His recent work explores applications in materials science, cybersecurity strategy, and educational initiatives. Key trends in his publications include interdisciplinary collaborations in Topology optimization for bone implants and additive manufacturing Analysis of granular materials and shear banding Stochastic modeling in magnetism Cybersecurity policy frameworks He has served on advisory boards for the MATRIX Research Institute and the Australian Mathematical Sciences Institute, and led UQ's School of Mathematics and Physics since 2014. His grants include ARC Discovery Projects and UQ Major Equipment Funding, supporting research in high-strength materials and educational technology.

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Binghao LiView profile

Associate Professor

University of New South WalesAustralia

Associate Professor Binghao Li leads the MIoT & IPIN Lab at the School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney. He holds a PhD in Spatial Information Systems from UNSW and advanced degrees in Civil and Electrical/Mechanical Engineering from Tsinghua University and Beijing Jiaotong University. Expertise in indoor/outdoor positioning systems Pioneering mine IoT applications Leader in pedestrian navigation research His research spans indoor positioning technologies, satellite navigation, and mining IoT solutions. Key grant projects include: 2021 CRC-P grant ($2m) for underground mine LoRa networks 2020 ARC Research Hub ($5m) for connected sensors 2018 Digital Grid Seed Funding for indoor navigation 2015-2019 ARC Linkage grants for positioning systems Award highlights: 2019 Best Paper & Presentation Awards 2010 VC's Post-Doctoral Fellowship 2004-2005 student research awards He supervises research in indoor positioning and mine IoT, and teaches courses including ENGG1000 Engineering Design and MINE8710 Mine Slope Stability.

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