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Biography:

Suresh Bhatia received a B.Tech. degree in Chemical Engineering from the Indian Institute of Technology, Kanpur, and Master’s as well as PhD degrees from the University of Pennsylvania. He worked for a few years in industry in the USA, and for two years at the University of Florida, before joining the Indian Institute of Technology, Mumbai, in 1984, and subsequently The University of Queensland in 1996. His main research interests are in adsorption and transport in nanoporous materials and in heterogeneous reaction engineering, where he has authored over two hundred and eighty scientific papers in leading international journals. He has received numerous awards for his research, including the Shanti Swarup Bhatnagar Prize for Engineering Sciences from the Government of India, and the ExxonMobil Award for excellence from the Institution of Chemical EngineersHe has held an Australian Professorial Fellowship from the Australian Research Council, and is a Fellow of two major academies – the Australian Academy of Technological Sciences and Engineering, and the Indian Academy of Sciences. He served as the Regional Editor of the international journal Molecular Simulation between 2009 and 2015. He has held visiting positions at leading universities, and between 2007 and 2009 he was the Head of the Division of Chemical Engineering at UQ.

Research:

Bhatia’s main research interests are in the modelling and simulation of adsorption and transport in nanoporous materials, and in heterogeneous reaction engineering, in which he pursues both applied and fundamental research on a variety of topics. One of the current subjects is the development of models for the reaction kinetics and transport processes in the green electrocatalytic reduction of carbon dioxide, as part of the research activities of the Australian Research Council Centre of Excellence. This is a novel route to reducing carbon dioxide emissions by converting it to useful chemicals and fuels, that is rapidly gaining increasing interest. In this technique, a porous electrode of complex structure is coated with nanoparticles of an electrocatalyst, on the surface of which carbon dioxide is reduced. Carbon dioxide (either pure gas or as part of flue gas) is fed into the electrolyser and must diffuse through the electrode’s structure to react with hydrogen ions in a liquid-phase electrolyte at the surface of the electrocatalyst. An added complexity is the intrusion of the electrolyte into the electrode, leading to its flooding and to a reduction in gas-phase transport rates. Bhatia’s research aims to gain an understanding of the complex interplay between gas-phase and electrolyte transport, and interfacial reaction kinetics, combining nanoscale models of transport and electrocatalytic kinetics with macroscopic electrode level models, and develop a comprehensive approach useful for process design and scale-up.

A second stream of activity relates to the modelling of mixed matrix membranes, particularly for carbon dioxide separation from flue gas and other industrial gas streams. These are a new class of membranes comprising a nanoporous adsorbent filler such as a zeolite or metal-organic/zeolitic imidazole framework material dispersed in a polymer matrix. Such composite membranes combine the high flux capabilities of the adsorbent with the selective properties of the polymer to overcome the established Robeson upper bound for polymers. Bhatia has developed novel effective medium theory-based models for transport in finite-sized composites, which overcome limitations of existing theories that are applicable only to large systems and therefore overlook particle and system size effects. At a more molecular level, Bhatia is investigating the nanoscale interfacial structure of the polymer in the vicinity of the solid, and its influence on the interfacial transport resistance using molecular dynamics simulation methods. When the polymer-filler interaction is strong, there is local densification of the polymer, which hinders gas transport, and when this interaction is weak interfacial nano-voids are formed which reduces selectivity. Both of these distinct effects deteriorate membrane performance, and a current focus of our research is the functionalisation of the polymer to improve polymer-filler compatibility and reduce interfacial defects. The synthesis of nanoscale and macroscopic approaches holds promise for the development of a virtual tool for the De Novo design of mixed matrix membrane specific to a given separation application; and is a key goal of this research.

Another thrust of his research relates to the transport of fluids in nanopores and nanoporous materials, where he is developing practical models of transport in nanoporous materials in conjunction with simulation and experiment. Among the achievements is a new theory of transport in nanoscale pores, which leads to an exact new result at low densities superseding the century-old Knudsen model. A current focus of the research is the interfacial resistance to transport in nanpororous materials, using molecular dynamics simulations and theoretical techniques. His results have shown that interfacial resistance dominates at nanoscales and can be very significant even at microscales. The results will have importance for a range of nanotechnologies involving the infiltration of fluids in nanoporous materials, including catalysis, gas storage, adsorption, and membrane-based separations, as well as nanofluidics.

In another stream of activity, he has developed atomistic models of disordered carbons using hybrid reverse Monte Carlo simulation methods, in conjunction with neutron scattering experiments. These atomistic models have been used to investigate the adsorption and transport of adsorbed fluids in the carbon nanostructure for a variety of applications. Among the carbons examined are carbide-derived carbon-based adsorbents for carbon dioxide capture from moist flue gases and CH4/CO2 separations. The co-adsorption of water has been shown by him to have a critical influence on both equilibrium and transport properties in these applications, and strategies for mitigating this influence are being investigated by means of simulation.

An area of recent activity is the study of carbon supercapacitors, where he is developing advanced simulation-based models for the equilibrium and flow of ions in porous carbon electrodes. These models will enable the optimisation of carbon structure for maximising capacitance and enhancing charging/discharging rates.

Teaching and Learning:

Bhatia has teaching interests in chemical reaction engineering, and applied mathematics, both at the undergraduate and postgraduate levels.

Projects:

1. Simulation of the kinetics of electrocatalytic reduction of carbon dioxide. The electrocatalytic transformation of carbon dioxide to useful chemicals and fuels is a subject of much current interest to the goal of a net zero carbon economy. This project aims to develop a model of the kinetics of the electrocatalytic reaction and use it to optimise the structure and loading of the electrocatalyst layer on the surface of the electrode. A combination of Quantum calculations and kinetic Monte Carlo simulations will be performed to determine the reaction kinetics for the carbon dioxide reduction to specific products such as ethylene and urea. Machine learning will be used to correlate intrinsic reaction kinetics with ionic concentrations in the electrolyte. Subsequently, reaction-diffusion modelling in the electrolyte will be performed to determine the optimal properties of the catalyst layer for maximising production rates. Validation of the models will be conducted using experimental data from other groups in the ARC Centre of Excellence for Green Carbon Dioxide Transformation.
2. Multiphase transport in packings of nanospheres. Numerous materials comprise packings of nano-sized particles. Examples are catalytically active layers of metals deposited on surfaces, layers of carbon nanoparticles in electrodes, and extrudates of catalyst and adsorbent particles comprised of aggregated nanoparticles. Current models of transport through such materials often simplify the structure by appealing to an idealised cylindrical pore model, which is often inaccurate and requires the use of empirical fitting parameters. In addition, such models frequently overlook fluid-solid interactions that become important at nanoscales. This project will investigate simultaneous gas and liquid electrolyte transport in packings of nanospheres, while considering fluid-solid interaction and phase equilibrium between gas and liquid, using molecular dynamics simulations, to determine multiphase transport properties as a function of interaction parameters, packing structure, packing density and particle size, and the results corelated using machine learning models. The models developed will be useful in the design of catalyst and adsorbent particles, and of electrodes in electrochemical processes.
3. Modelling transport in diffusion electrodes. Numerous electrochemical systems, such as fuel cells and electrocatalytic reactors use electrodes of complex structure, comprising a fibrous gas diffusion layer, a conductive carbon particle layer and a catalytic layer. The electrode separates gas and liquid electrolyte, both of which infiltrate the electrode from opposite sides. A reliable model of the electrode behaviour is essential for process design. This project will model the interplay between gas and electrolyte transport and their phase equilibrium in the electrode, as well as the reaction-diffusion process in the catalytic layer facilitated by the charge transport in the electrode. Joule heating of the electrode will also be considered. The particular process targeted is the electrocatalytic conversion of carbon dioxide. The outcome will be a comprehensive model of reaction and transport in the electrode that can be used in process design and scale-up of the electrochemical cell for electrocatalytic carbon dioxide reduction.
4. Synthesis and modelling of mixed matrix membranes. Mixed matrix membranes comprising a zeolite, metal-organic framework material, or other suitable adsorbent dispersed within a polymer matrix are attracting considerable attention because they combine the good mechanical properties of the polymer matrix with separation properties of the adsorbent. Here, we will perform molecular dynamics simulations of the separation of CO2 from flue gas using mixed matrix membranes and investigate their transport properties in this application. Suitable functionalisation of the polymer will be performed in silico to alleviate interfacial defects. Machine learning will be used to correlate transport properties with fundamental molecular level polymer and filler properties. Mathematical models of permeation through the membrane will be developed and validated against experimental data.
5. Dynamics of mixture adsorption in nanoporous materials. This project focuses on understanding the diffusion of gases in nanoporous materials, which is challenging both from a fundamental and applications viewpoint. Existing models frequently overlook fluid-solid interactions and require fitting parameters. In this connection, we have already performed molecular dynamics studies with single component systems and developed a novel new theory of diffusion and transport of adsorbates in nanoporous materials. The new studies now proposed focus on gas mixtures, and the theory developed will be extended to multicomponent systems in conjunction with molecular dynamics simulation. A system of particular interest is the separation of carbon dioxide from flue gas using nanomaterials and membranes.

He is presently working as a faculty in the School of Dentistry at the University of Queensland.

He has teaching experience of close to 14 years in the field of Endodontics and was Programme Director for the Post Graduate Diploma in Endodontics at International Medical University, Malaysia from the years (2019-2023). He has worked in the same university from (2014 to 2023) as a lecturer, Senior Lecturer-I, and Senior Lecturer-II. Before that, he was the course coordinator for the Department of Conservative Dentistry and Endodontics at MAHSA University, Malaysia.

He has been actively involved in providing clinical expertise in Endodontics both primary and re-treatment cases under Dental Microscope since 2010. He was appointed to the rank of Captain in the Indian Army and was awarded the Best Academic Lecturer Award in 2014,2015,2019 in Faculty Appreciation Week at International Medical University from the School of Dentistry and has also received the University Teaching Excellence Award (TEA) and the John Simpson trophy in 2016. He was a finalist for the best teacher award from the School of Dentistry in 2016, 2017, and 2018 and a finalist for the TEA award in 2019.

He is a well-known speaker and has conducted many lectures and workshops and trained many practitioners in the field of Endodontics. He has conducted workshops that prepare candidates for the MFDS Part 2 Examination, a Membership examination from the Royal College of Surgeons, Edinburgh from the year (2015-2023). He is a holder of the Diploma of Membership of the Faculty of Dental Surgery MFDS RCS (Edinburgh) and the Diploma of Membership of the Faculty of Dental Surgery MFDS RCPS (Glasgow. In addition, he has multiple publications in peer-reviewed journals.

He has a special interest in Dental microscopes, Rotary Endodontics, Disinfection in Endodontics, Single visit Endodontics, and different kinds of aesthetic restorations.

Dr. Arnab Bhattacharjee is an early-career AI and applied optimization researcher specializing in energy systems, power engineering, and machine learning. He earned his Ph.D. with distinction in Electrical Engineering and Computer Science from the University of Queensland and the Indian Institute of Technology Delhi Academy of Research, where he advanced AI-driven modeling for energy systems and cybersecurity. Previously, he completed his B.Tech. (Honors) in Electrical & Electronics Engineering with a minor in Computer Applications at NIT Trichy, graduating as valedictorian. His research experience spans leading institutions, including IIT Delhi, UQ, and Max Planck Institute for Intelligent Systems, where he has contributed to optimization, deep learning, and reinforcement learning applications for sustainable energy and intelligent systems. His expertise includes developing empirical mutual information estimation tools, battery degradation modeling, and cyber-physical security solutions for smart grids. Dr. Bhattacharjee has also collaborated with TATA Power, Alt Mobility, and government agencies to enhance energy forecasting, EV infrastructure planning, and AI-driven optimization techniques.

Dr Dharmesh D Bhuva is a NHMRC Emerging Leadership Fellow (EL1) on a mission to understand how complex systems of gene regulation and signalling produce diverse tissue phenotypes in health, disease, and development. He completed his PhD in Oct 2020 through the Department of Mathematics and Statistics, University of Melbourne, focusing on developing novel systems biology approaches to study molecular function and gene regulation in cancer systems. His current work focuses on extending these ideas to biological tissues through the development of computational methods to generate accurate biological insights from spatial molecular datasets.

Whilst being an early career researcher, he has developed high quality bioinformatics software that have been downloaded more than 160,000 times, has received >$3.25M in funding support, including NHMRC and MRFF, and has published in Genome biology and Nucleic Acids Research, some of the highest-ranking journals in his field. Dr Bhuva has organised and run various computational biology workshops at the University of Melbourne as well as the WEHI Bioinformatics and Computational Biology Masterclass (2021) that was delivered to the Asia-Pacific region. He currently supervises a PhD student and has co-supervised 2 successful MSc Bioinformatics students.

Dr. Bialasiewicz worked at the Royal Children's Hospital and the Children's Health Queensland HHS for over 18 years conducting translational research and clinical support centering on infectious disease (primarily viral and bacterial) molecular diagnostics, general microbiology and molecular epidemiology. In 2019, he became a group leader at The University of Queensland's Australian Centre for Ecogenomics, expanding on a growing interest in the microbial ecology of the human body, it's role in health and disease, and ways to manipulated to achieve desirable outcomes. One Health microbial ecology, where human health is interconnected with the health of animals (both livestock and wildlife), and the broader environment is also an area of active interest. His background in virology has influenced the work he does, meaning a key focus of his microbial ecology works centres around the interactions between all types of microorgansims (bacteria, archaea, viruses, fungi, and micro-eukaryotes).

Ongoing work includes:

- Leveraging of emerging technologies to explore the hidden microbial diversity and their interactions in the human body.

- Using the technology to develop microbial (e.g. phage)-based treatments or preventatives to complex diseases (e.g. Otitis Media, Chronic Rhinosinusitis, GvHD).

- Understanding the genetics of antibiotic resistance spread.

Dr. Konstanty Bialkowski’s research interests lie in the area of communication systems, passive radar and signal processing, and specifically in the areas of wireless communication, and the use of multiple antennas or sensors for communication, radar and imaging systems. In these fields, a software-defined-radio (SDR) is an extremely useful tool, allowing practical experimentation in specific areas like high reliability or high data rate communications, radio-frequency identification, wireless sensing and biological applications.

Some key contributions have been in the development of architectures to collect information from various sensors including RF, vibration and acoustic signals; as well as sensor algorithms for passive radar, where using multiple receivers is capable of resolving target location in 3D space, rather than just the range and Doppler; and showing that SDRs can be used to develop low cost biomedical imaging devices.

Dr Alina Bialkowski is a computer vision & machine learning researcher developing interpretable machine learning models to increase the performance and transparency of Artificial Intelligence (AI) decision-making. Her research interests include quantifying and extracting actionable knowledge from data to solve real-world problems and giving human understanding to AI models through feature visualisation and attribution methods. She has applied these techniques to various multi-disciplinary applications such as medical imaging (including imaging strokes in the brain using the new sensing modality of electromagnetic imaging), modelling human attention in driving, intelligent transport systems (ITS), intelligent surveillance, and sports analytics.

Dr Bialkowski holds a PhD and BEng (Electrical Engineering) from the Queensland University of Technology, Australia. Her doctoral studies were in characterising group behaviours from visual and spatio-temporal data to enhance statistics and visualisation in sports analytics as well as intelligent surveillance systems. She spent a year at Disney Research Pittsburgh where she developed techniques to automatically analyse team sports, followed by 2.5 years as a postdoctoral researcher at the University College London, developing deep neural networks to better understand human perception and attention in driving, before joining UQ in late 2017.

The impact of her research is evidenced by the high number of citations to her work (>1600 citations and an h-index of 20 according to Google Scholar) and awards including a best paper prize in 2017 at WACV (a top computer vision conference). In addition to high impact journals and conferences, her work has resulted in 6 international patents filed with Disney Research, Toyota Motor Europe, University College London, and The University of Queensland.

Reihaneh is a Lecturer in Business Information Systems at the UQ Business School, The University of Queensland. She earned her PhD from the Queensland University of Technology, School of Information Systems. Her research centres on how organisations manage the complexities of AI, automation, and digital integration, particularly focusing on the role of human-AI hybrids. Reihaneh’s work delves into the impact of emerging technologies like AI on the redesign and organisation of work, while also addressing the challenges of managing their potential negative consequences.

Reihaneh teaches managing business data and information retrieval to undergraduate and postgraduate Information Systems program. She has previously developed, coordinated, and taught courses in Business Analytics, Enterprise Architecture, Design of Enterprise IoT Systems, Mobile and Pervasive Systems, and Mobile App Development for both undergraduate and master’s students.

Professor Rick Bigwood’s principal teaching and research interests lie in the areas of contract and property law. He was formerly a Senior Solicitor and Acting Principal Solicitor with the Federal Attorney-General's Department in Canberra (Office of Commercial Law). Before joining TC Beirne School of Law, Professor Bigwood taught at Bond University for five years, and he was on the Auckland Law Faculty for 16 years before that, where he was also the Director of the Research Centre for Business Law. He has published widely in leading international journals on subjects within contract, equity and property law, and he has been a keynote speaker at international conferences on contract law. His publications include the following books: Legal Method in New Zealand (Butterworths, 2001); Exploitative Contracts (Oxford University Press, 2003) (awarded the JF Northey Memorial Book Award for 2003); The Statute: Making and Meaning (LexisNexis, 2004); Public Interest Litigation: The New Zealand Experience in International Perspective (LexisNexis, 2006); The Permanent New Zealand Court of Appeal: Essays on the First 50 Years (Hart Publishing, 2009); Contract as Assumption: Essays on a Theme (by Brian Coote) (Hart Publishing, 2010); The Law of Remedies: New Directions in the Common Law (Irwin Law, 2010) (with Jeff Berryman); Cheshire & Fifoot, Law of Contract (various editions since 2012) (with Nick Seddon); and Variations on a Theme of Contract (LexisNexis, 2019) (with GHL Fridman). Professor Bigwood was formerly the General Editor of the New Zealand Universities Law Review, and he was Editor of the New Zealand Law Review 2002-2008 and University of Queensland Law Journal 2019-2021. He is currently a member of the editorial boards of the New Zealand Law Review and the Journal of Contract Law. Professor Bigwood has received a number of awards, prizes and honours for his teaching at various tertiary educational institutions, in a variety of countries, including a National Tertiary Teaching Excellence Award in 2006 (New Zealand). He is currently Academic Dean and Head of the TC Beirne School of Law at The University of Queensland and current holder of the Sir Gerard Brennan Chair in Law.

Dr Peter Billings is a Professor at the School of Law, The University of Queensland, Brisbane, and a Fellow of the Higher Education Academy. His research interests are in particular areas of public law: administrative law, immigration and refugee law, social welfare law and human rights law. In 2016 he received an Australian Award for University Teaching - Award for Programs that Enhance Learning (Pro Bono Centre). Since 2010 he has received five teaching excellence awards within the School of Law for outstanding course/teacher evaluations, and in 2011 was awarded the Vice Chancellor's Equity and Diversity Award (UQ) for the Asylum and Refugee Law Project.

Recent publications include: P Billings (ed), Regulating Refugee Protection through Social Welfare: Law, Policy and Praxis (Routledge, 2023); An Annotated Guide to the Human Rights Act 2019 (Qld) (LexisNexis, 2023) (with N Jones); Ch. 10 "Immunised and Indifferent to Indefinite Incarceration, in M Peterie, Immigration Detention and Social Harm: The Collateral Impacts of Migrant Incarceration (Routledge, 2025); and "Causing a Stir: Unwanted Aliens and the Cauldron of Crimmigration Controls Post NZYQ" (UQLJ (2025) forthcoming).

Jacob is a proud Gamilaraay man from QLD and a PhD candidate within QAAFI. Jacob's work focuses on Indigenous food sovereignty as nation-building, looking at the Gamilaraay peoples' governance of thier native grains industry as a case study.

Jacob is taking a systems approach in developing the nascent native grains industry. His priority is setting strong, strategic, sustainable, Indignoeus-led governace to ensure opportunity and benefit remains with Indigenous people. Jacob also has active interests spanning the ecology and conservaion of native grassland species; agronomic knowledge to help support reintroduction of native grains; supply chain and processing of native grains; nutrition and food safety; product development and marketing; and education and engagement.

Jacob's passion also extends to the broader Indigenous food sovereignty movement. Through his work, Jacob collaborates across disparate spaces and advocates for the transformative potential of integrated, circular, sustainable, Indigenous-designed food systems that prioritise human and ecosystem health over profit and production.