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Dr. Andrew Groszek completed his PhD in theoretical physics at Monash University in 2018, under the supervision of Assoc. Prof. Tapio Simula. His doctoral research involved the numerical simulation of non-equilibrium superfluids, with a particular interest in vortices and turbulence in these systems.

From 2018-2020, he worked as a postdoctoral research associate in the group of Dr. Thomas Billam at Newcastle University, United Kingdom. Here he continued his research on far-from-equilibrium systems, with a focus on superfluids away from the zero temperature limit.

In 2020, he joined the group of Prof. Matthew Davis at the University of Queensland, and is currently based in the ARC Centres of Excellence for Engineered Quantum Systems (EQUS) and Future Low-Energy Electronics Technology (FLEET). He is currently investigating periodically driven quantum systems, as well as providing numerical modelling for the Bose-Einstein condensate experiments located on campus.

Veronika Kuchta received her Diploma degree in Mathematics at the Heidelberg University in Germany in 2010. She reseived her PhD in applied cryptography at the University of Surrey, United Kingdom in 2016. She worked as a postdoc at the Universite libre de Bruxelles in Belgium from 2016-2018. From 2018 till 2020 she has been a Research Fellow at Monash University in Melbourne, Australia. FromDecember 2020 to July 2022 she was employed by The University of Queensland, School of Mathematics and Physics as a lecturer in mathematical cryptography. From November 2022 she is Assistant Professor at Florida Atlantic University (Boca Raton, USA), department of mathematical sciences. Her research interst focus on the different areas of mathematical cryptography, post-quantum cryptography and its applications to the real-world.

Yi-Hsun Chen completed his PhD in Physics at the Monash University in 2024. Prior to this PhD, he obtained his Master degree in Optoelectronics at the National Chiao Tung University, Taiwan, in 2014.

His research interests relate to electronic transport and optical properties of the following field of study:

• Superconducting qubits
• Exciton science
• Bose-Einstein condensate
• 2D materials (graphene, transition metal dichalcogenides, etc.)
• Plasmonics

In 2024, He joins UQ as a Postdoctoral Research Fellow under an ARC Linkage Project "Surface and Interface Engineering for Superconducting Quantum Circuits," pursuing high-quality superconducting quantum circuits using surface engineering strategies.

Please find his publication list via google scholar profile https://scholar.google.com.tw/citations?user=EvKa9qIAAAAJ&hl=en

Aleksandar D. Rakić leads the Photonics and Microwave Engineering group at The University of Queensland focusing on the development of technologies for sensing and imaging across the electromagnetic spectrum including microwave, terahertz wave and optical systems.

Professor Rakić’s research focuses on the principles of laser feedback interferometry with semiconductor lasers, and on the application of these principles to imaging and sensing. Rakić group pioneered the development of several world’s first laser-feedback interferometric sensors including systems based on monolithic Vertical-Cavity Surface-Emitting Laser arrays (VCSELs), blue-green lasers, terahertz quantum cascade lasers and mid-infrared interband cascade lasers.

His current focus is on the development of sensing and imaging systems exploiting the THz spectrum for applications from security and defence to in vivo biomedical imaging. His other principal contributions relate to the design and characterization of surface-emitting optoelectronic devices (VCSELs and light emitting diodes) and modelling of optical materials.

Yadan Luo is currently a Senior Lecturer with Data Science Discipline, School of EECS, The University of Queensland. She received her BSc degree from University of Electronic Science and Technology of China, and her PhD in Computer Science from School of ITEE, The University of Queensland in 2017 and 2021 respectively. Her research interests mainly include machine learning from imperfect data, by leveraging domain adaptation, domain generalization, few-/zero-shot learning and active learning to empower the applications in computer vision and multimedia data analysis areas. Her work of image analysis published at Pattern Recognition Journal in 2018 is placed in the top 1% of the academic field of Engineering and is recognised as a Highly Cited Paper by Web of Science. Yadan was awarded the Google PhD Fellowship 2020 as a recognition of her research in the machine learning area and her strong potential of influencing the future of technology. She was also a recipient of ICT Young Achiever Award, Women in Technology (WiT.org) 2018 and a few other research awards.

[For Prospective Students] I am continuously looking for highly-motivated Ph.D. students to work on machine learning & multimedia data analysis, specifically for addressing domain shifts and generalisation issues. Please send me your CV if interested.

Dr. Allison Fish is an interdisciplinary scholar whose research lies at the intersections of law, socio-cultural anthropology, and science and technology studies. She has completed higher degree studies in law (JD), public administration (MPA), and anthropology (PhD). Prior to joining UQ Dr. Fish was an assistant professor in the School of Informatics & Computing at Indiana University.

The three questions that have directed much of her recent work are: What are the legal forms, technological infrastructures, and cultural logics that shape information/knowledge management practices? How do law and technology function together to mediate access? And How is accessibility increasingly framed as a fundamental human right and critical pathway to social enfranchisement?

To date, the bulk of her research has addressed the application of intellectual property law to the regulation of various domains including; international markets for South Asian classical health systems, the development of digital archives and databases designed to function as defensive publications against future patents, the impact of open access on scholarly communication practices, and licensing and attribution practices in open source software communities.

Working in theoretical atomic physics and particle astrophysics. My research focusses on high-precision atomic structure calculations, and how atomic processes can be used for testing fundamental theories, probing for physics beyond the standard model, and searching for dark matter. This is complimentary to the high-energy tests performed at CERN. Some research highlights include: searching for variations in the fundamental constants near the super-massive black hole at the centre of our galaxy [1]; using decades of archived atomic clock data from the GPS satellites to search for signatures of dark matter [2]; performing high-precision calculations of symmetry violations in atoms, allowing the most precise low-energy test of the standard model to date [3-5]; and proposing and quantifying novel experimental signatures of dark matter that exploit atomic (rather than the typical nuclear) phenomena, opening the door to a wide range of previously “invisible” models [6-9].

1. A. Hees, T. Do, B. M. Roberts, A. M. Ghez, S. Nishiyama, R. O. Bentley, A. K. Gautam, S. Jia, T. Kara, J. R. Lu, H. Saida, S. Sakai, M. Takahashi, and Y. Takamori, Search for a Variation of the Fine Structure Constant around the Supermassive Black Hole in Our Galactic Center, Phys. Rev. Lett. 124, 081101 (2020).
2. B. M. Roberts, G. Blewitt, C. Dailey, M. Murphy, M. Pospelov, A. Rollings, J. Sherman, W. Williams, and A. Derevianko, Search for Domain Wall Dark Matter with Atomic Clocks on Board Global Positioning System Satellites, Nature Comm. 8, 1195 (2017).
3. V. A. Dzuba, J. C. Berengut, V. V. Flambaum, and B. M. Roberts, Revisiting Parity Nonconservation in Cesium, Phys. Rev. Lett. 109, 203003 (2012).
4. B. M. Roberts and J. S. M. Ginges, Nuclear Magnetic Moments of Francium-207–213 from Precision Hyperfine Comparisons, Phys. Rev. Lett. 125, 063002 (2020).
5. G. Sanamyan, B. M. Roberts, and J. S. M. Ginges, Empirical Determination of the Bohr-Weisskopf Effect in Cesium and Improved Tests of Precision Atomic Theory in Searches for New Physics, Phys. Rev. Lett. 130, 053001 (2023).
6. B. M. Roberts, Y. V. Stadnik, V. A. Dzuba, V. V. Flambaum, N. Leefer, and D. Budker, Limiting P-Odd Interactions of Cosmic Fields with Electrons, Protons, and Neutrons, Phys. Rev. Lett. 113, 081601 (2014).
7. B. M. Roberts, V. V. Flambaum, and G. F. Gribakin, Ionization of Atoms by Slow Heavy Particles, Including Dark Matter, Phys. Rev. Lett. 116, 023201 (2016).
8. B. M. Roberts et al., Search for Transient Variations of the Fine Structure Constant and Dark Matter Using Fiber-Linked Optical Atomic Clocks, New J. Phys. 22, 093010 (2020).
9. E. Savalle, A. Hees, F. Frank, E. Cantin, P.-E. Pottie, B. M. Roberts, L. Cros, B. T. McAllister, and P. Wolf, Searching for Dark Matter with an Optical Cavity and an Unequal-Delay Interferometer, Phys. Rev. Lett. 126, 051301 (2021).

Dr. Peng Chen is an Australian Research Council (ARC) Discovery Early-Career Researcher Award (DECRA) Fellow in Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland. In 2020, he got his PhD degree from School of Chemical Engineering at UQ under the supervision of Prof. Lianzhou Wang. He then moved to AIBN and worked as an Australian Centre for Advanced Photovoltaics (ACAP) Research Fellow during 2020-2022, and started his ARC DECRA Fellowship in 2023.

Dr Emma Beckman is a Teaching and Research academic at the University of Queensland. Emma is passionate about engaging in research to improve the lives of people with a disability through sports, physical activity, and exercise. Following a master’s degree in Adapted physical activity, Emma completed her PhD in strength assessment for classification in Para Sport. She is currently a co-investigator in the UQ IPC Classification Research Partnership, and an internationally accredited classifier in Para Athletics.

Through her Para Sport research, Dr Beckman has seen the power of collaborative care and is committed to research that uses collaborative care models to improve health outcomes. She has undertaken projects to evaluate the impact of interprofessional education and practice on students, educators and clients and has adapted this work for different populations, including people with disabilities and university students with mental health issues.

David is a passionate and driven scientist with a successful track record in translational commercially focused technical and academic leadership. David has worked in academia and industry at the interface of chemistry, biochemistry and biology. He has successfully designed and developed several oncology nanomedicines and driven them forward into clinical trials.

As Director of the Protein Expression Facility (PEF) within The University of Queensland, David and his team strive to build collaborations and provide excellent service provision with a wide variety of researchers across academia and industry. Through this work we ensure PEF achieves its vision to be a world leader in protein research services and innovative solutions for protein production driving scientific success.