Find Academic Supervisors

Matthew StephensonView profile

Lecturer

• Artificial Intelligence
• Machine Learning
• Data Science
• +5 more

Matthew Stephenson is a Lecturer at Flinders University's College of Science and Engineering, specializing in Artificial Intelligence applications for games. He leads the Data for Decisions initiative within the Factory of the Future Transdisciplinary Hub, focusing on AI-powered scenario generation for smart digital twins. Additionally, he is a member of IRL CROSSING, an international lab studying human-autonomous agent teaming dynamics. PhD in Computer Science (Australian National University, 2019) B.Sc.(Hons) in Computer Science (University of Canterbury, 2015) His research applies AI, Machine Learning, and Data Science to game domains, including intelligent agent development for physics-based environments, procedural content generation, and game analytics. He also investigates deceptive behaviors in multi-agent systems and leverages games as testbeds for real-world AI solutions. Recent publications focus on large language models for game benchmarking, physical reasoning challenges, and evolutionary game generation. Scientific awards include an honourable mention at Foundations of Digital Games (FDG'18). He supervises students in procedural generation, game AI, and physics-based task creation, with teaching roles in computational intelligence and neural networks courses.

Lauren SchroederView profile

Associate Professor

• Biological Anthropology
• Palaeoanthropology
• Evolutionary Anthropology
• +4 more

Lauren Schroeder serves as Associate Professor and Associate Chair of Graduate Anthropology in the Department of Anthropology at the University of Toronto Mississauga (UTM). A South African palaeoanthropologist specializing in hominin cranial and mandibular diversity, she employs quantitative methods including 3D morphological modeling and quantitative genetics. Dr. Schroeder maintains research affiliations with the Royal Ontario Museum, Human Evolutionary Research Institute, and Evolutionary Studies Institute at the University of the Witwatersrand. Her academic credentials include: PhD, University of Cape Town, 2015 BSc (Hons), University of Cape Town Dr. Schroeder's research spans Biological Anthropology, Palaeoanthropology, and Evolutionary Anthropology with emphasis on hominin variability, evolutionary theory, and quantitative genetics. Her work integrates statistical analyses of 3D morphological data with quantitative genetic approaches to investigate evolutionary processes underlying morphological variation. Current projects examine primate skeletal evolution, skeletal signatures of hybridization for detecting gene flow in fossil records, and the relative contributions of genetic drift versus natural selection in hominin evolution. Analysis of her 2016-2020 publications reveals consistent focus on paleoanthropological research centered on Homo naledi and other hominin fossils. Her scholarly output demonstrates integration of evolutionary theory, quantitative genetics, and morphological integration to explore hominin diversity and evolutionary mechanisms. Recurring themes include Bayesian phylogenetic methods, hybridization studies in human evolution, and critical reflections on ethics and decolonization within anthropological practice. No scientific awards were documented in the provided materials. Information regarding graduate student advising and research grant funding was not specified in available sources. The Schroeder Lab, situated in UTM's Terrence Donnelly Health Sciences Complex, advances morphological evolution research in humans and primates through innovative quantitative methodologies. Dr. Schroeder has contributed significantly to major paleoanthropological projects including the Malapa excavation (Australopithecus sediba) and Rising Star Cave (Homo naledi) as core research team member analyzing fossil hominins.

Øyvind GjerstadView profile

Associate Professor

• French Linguistics
• Climate Change Discourse
• Narrative Analysis
• +3 more

Øyvind Gjerstad is an Associate Professor of French Linguistics in the Department of Foreign Languages at the University of Bergen. His academic work focuses on the intersection of language, narrative, and climate change discourse, with particular emphasis on comparative analyses between French and Norwegian contexts. As a core member of the LINGCLIM research group (Language, Climate and Lifestyle), he contributes to interdisciplinary investigations of how linguistic structures shape public understanding of environmental issues. Gjerstad's research interests center on linguistic polyphony, narrative analysis, and discourse structures as applied to climate communication. His work examines how narratives about climate change are constructed linguistically, how different voices are represented in climate discourse, and how narrative frameworks influence public perception and willingness to act. He has developed methodological approaches that combine narrative analysis with polyphonic theory to reveal complex storylines in climate-related texts, particularly focusing on how negation, reported speech, and rhetorical devices function in climate communication. His publication record demonstrates consistent scholarly output examining climate narratives across various text genres including political documents, media coverage, and public surveys. Recent work has increasingly focused on the combination of narrative and polyphonic analysis ('polynarrativity') to uncover intersecting storylines in climate discourse. His research spans both descriptive analyses of existing narratives and explorations of how normative narratives might be constructed to motivate climate action. Gjerstad has supervised graduate students, including Taran Marie Hoel Stabell's Master's thesis on French temporal prepositions. His research has been supported by funding from the Research Council of Norway (projects 220654 and 301103), indicating sustained institutional support for his work on climate discourse analysis. He actively participates in academic conferences across Europe, presenting his findings to both linguistics and climate studies audiences. As part of the LINGCLIM research group, Gjerstad collaborates closely with Kjersti Fløttum and other colleagues on projects examining how language shapes climate perceptions and actions. His work bridges theoretical linguistics with practical applications in climate communication, contributing to interdisciplinary efforts to understand and address the climate crisis through the lens of language and narrative.

Daniel GroßeView profile

Professor

• Formal Verification
• Hardware Verification
• Electronic Design Automation
• +3 more

Prof. Daniel Große serves as Professor at the Institute for Complex Systems (ICS) within Johannes Kepler University Linz, Austria, while maintaining a dual affiliation with the German Research Center for Artificial Intelligence (DFKI) in Bremen. His research centers on Electronic Design Automation (EDA), specializing in verification, debugging, and synthesis of complex hardware/software systems through advanced virtual prototyping techniques. His primary research domains include Formal Verification , Hardware Verification , and Virtual Prototyping , with significant contributions to RISC-V architecture development and embedded systems validation. Current projects like PaSVer (automotive electronics), AUTOASSERT (analog-digital verification), and VerSys (RISC-V software platforms) demonstrate his focus on bridging simulation and formal methods for safety-critical applications. Recent publications reveal accelerating trends in metamorphic testing for embedded graphics libraries and RISC-V vector extensions, alongside innovations in waveform analysis tools like Surfer. His work increasingly integrates AI-assisted verification while maintaining rigorous formal methods foundations. Prof. Große actively supervises student research, having guided Lucas Klemmer's PhD thesis and nine Bachelor theses on topics ranging from RISC-V processor design to transaction visualization. His projects including SATiSFy (autonomous vehicle security) and CONVERS (complex system design automation) secure substantial research funding from academic and industry partners. He leads the Institute for Complex Systems' development of open-source tools such as RISC-V VP++ and contributes to international standards through program committee roles at DATE, ICCAD, and RISC-V Summit Europe.

Victor VianuView profile

Professor

• Computational Logic
• Database Systems
• Database Theory
• +4 more

Victor Vianu is a Professor of Computer Science and Engineering at the University of California, San Diego and holds the INRIA International Chair at INRIA-Saclay in Paris. He has maintained continuous faculty status at UC San Diego since 1983 while developing extensive international collaborations, particularly with French research institutions including INRIA, ENST-Paris, ENS-Paris, and the University of Paris. His academic credentials include a Ph.D. in Computer Science from the University of Southern California (1983) and undergraduate studies in Mathematics and Informatics at the University of Bucharest (1974-1977). Professor Vianu's research spans computational logic, database systems and theory, and automatic verification. His work uniquely bridges theoretical foundations with practical applications in XML processing, workflow systems, and data-driven applications. He has made seminal contributions to understanding the theoretical underpinnings of database query languages and their expressive power, particularly in the context of XML technologies and workflow systems. His research demonstrates a consistent trajectory from theoretical computer science to practical database systems applications. His publication record reveals significant contributions to database theory spanning over three decades, with particular emphasis on XML technologies, workflow systems, and formal methods for data-driven applications. His work shows a clear evolution from foundational theoretical work to practical applications in business processes and web technologies. INRIA International Chair (2013) Fellow of the American Association for the Advancement of Science (AAAS) (2013) ACM PODS Alberto O. Mendelzon Test-of-Time Award (2010) Fellow of the Association for Computing Machinery (ACM) (2006) Professor Vianu has held significant leadership roles including Editor-in-Chief of the prestigious Journal of the ACM, numerous program committee chair positions for major database conferences (PODS, ICDT, ASIAN), and General Chair for ACM SIGMOD conferences. He has served on the executive committees of SIGMOD (1998-2000) and PODS (1993-2004), and was a member of the ICDT Council (1997-2007), demonstrating sustained influence in the theoretical database community. His extensive invited talks at major conferences including College de France, ACM PODS, and International Conference on Database Theory highlight his international recognition.

Kimia Zamiri AzarView profile

Assistant Professor

• Hardware Security
• Verification Formal Methods
• Advanced VLSI Testing
• +3 more

Kimia Zamiri Azar serves as an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Central Florida, focusing on hardware security and verification methodologies. Her research bridges theoretical formal methods with practical security implementations in semiconductor design and testing. Her educational background includes: Ph.D. in Electrical and Computer Engineering, George Mason University (2021) Postdoctoral Research, University of Florida Dr. Azar's research spans hardware security with emphasis on system-level verification, VLSI design-for-trust, and advanced IC testing. She pioneers techniques in logic locking, secure heterogeneous integration, and IC supply chain security, developing frameworks for authenticated encryption in Systems-in-Package and runtime security monitoring. Her work integrates formal verification with innovative testing methodologies to address hardware trust challenges across the semiconductor lifecycle. Analysis of her recent publications reveals two dominant trends: (1) Application of large language models (LLMs) to hardware design tasks including high-level synthesis code generation and RTL optimization, and (2) Advancement of secure heterogeneous integration techniques for System-in-Package architectures with focus on counterfeit prevention and split-test security protocols. These directions address critical gaps in hardware trustworthiness amid increasingly complex semiconductor supply chains. Her scientific contributions have earned significant recognition: Best Paper Award at ICCAD 2019 Best Paper Award at ISVLSI 2020 Best Paper Award at ICCAD 2020 Best Paper Award at IEEE DCAS 2020 Best Paper Award at HOST 2022 Best Paper Award at DATE 2023 Dr. Azar secures substantial research funding from premier agencies including NSF, SRC, DARPA, AFRL, DoD (NG), and Microsemi. Her grants support projects spanning hardware security validation frameworks, secure heterogeneous integration, and AI-augmented verification methodologies. She actively mentors students in her research group, guiding publications in top venues like IEEE D&T, IEEE TC, and DAC while fostering industry-academic collaborations. Her work directly impacts semiconductor security standards through patented innovations and open-source verification tools. As an active IEEE and ACM member, she contributes to community advancement through conference organization (HOST, DATE), journal editorial roles, and workshop leadership on hardware security standards. Her research group collaborates with semiconductor industry leaders to translate theoretical security frameworks into practical design-for-trust methodologies for next-generation integrated circuits.

• Mathematics
• Physics
• Biology
• +23 more

Andrei Khrennikov is Professor of Mathematics at the Department of Mathematics, Linnaeus University, where he also serves as director of the International Center for Mathematical Modeling (ICMM) . He leads a vibrant research group focused on interdisciplinary modeling in physics, biology, cognition, and social systems. Research Interests: His work spans a vast interdisciplinary landscape, including mathematical physics, p-adic and non-Archimedean analysis, quantum foundations, quantum-like modeling of cognition and decision-making, econophysics, and biological dynamics . He is a pioneer in applying quantum probability and formalism outside quantum physics, especially in psychology and social sciences. The Växjö series of quantum theory conferences , which he organizes, is the longest-running continuous conference series on quantum foundations, fostering dialogue between theorists, experimentalists, and philosophers. His recent publications (2021–2025) show a strong focus on quantum cognition, p-adic biology, entanglement models, and social laser theory , often leveraging generalized probability and open quantum systems frameworks. Scientific Contributions: Developed quantum-like models for cognition, decision-making, and biological processes. Pioneered use of p-adic and ultrametric analysis in genetics and brain dynamics. Advanced classical random field models as alternatives to quantum interpretations. Introduced the social laser model for collective emotional amplification in societies. He is actively involved in major research projects such as QUARTZ (Quantum Information Access and Retrieval Theory) and DYNALIFE (Information, Coding, and Biological Function) . His work bridges mathematics, physics, and cognitive science, promoting a unified framework for understanding complex systems through quantum-inspired tools.

• Algorithms and Complexity
• Logic
• Database Theory
• +2 more

Martin Grohe is a Professor at the School of Logic and Theory of Discrete Systems , part of the Department of Computer Science at RWTH Aachen University . His research spans Algorithms and Complexity , Logic , Database Theory , Graph Theory , and Machine Learning , with a focus on integrating logical frameworks into computational models. His recent work explores graph neural networks , Weisfeiler-Leman algorithms , and parameterized complexity , as seen in publications on isomorphism testing , database repairing , and probabilistic query evaluation . While no specific scientific awards are mentioned, his contributions to graph theory and machine learning are widely recognized through numerous peer-reviewed publications.

Diego CalvaneseView profile

Professor

• Knowledge Representation and Reasoning
• Virtual Knowledge Graphs
• Ontology-based Data Access and Integration
• +7 more

Diego Calvanese is a Full Professor in Computer Engineering at the Faculty of Engineering of the Free University of Bozen-Bolzano, Italy. He serves as Spokesperson of the Institute of Computer Science and Artificial Intelligence and Director of the Smart Data Factory technology transfer lab at NOI Techpark. As Coordinator of the Intelligent Integration and Access to Data (In2Data) research group, part of the Research Centre for Knowledge and Data (KRDB), he leads significant research initiatives in knowledge representation and data management. Calvanese's research focuses on virtual knowledge graphs for data access and integration, ontology-based data access, description logics, semantic web technologies, graph data management, and verification of data-aware processes. His work bridges theoretical foundations with practical applications through the Ontop framework, which enables SPARQL query answering over OWL 2 QL ontologies connected to external data sources. His research has substantial practical impact, powering the South Tyrol Open Data Hub Knowledge Graph and supporting numerous European and national research projects. With more than 400 refereed publications and over 39,000 citations (h-index 80), Calvanese's recent work demonstrates continued leadership in virtual knowledge graphs, ontology-based data federation, explainable AI through knowledge representation, and integration of complex data types including 3D city models and raster data. His publications show a clear trajectory from theoretical foundations toward increasingly practical and applied research addressing real-world data integration challenges across multiple domains. ACM Fellow (2019) EurAI Fellow (2015) AAIA Fellow Program Chair of PODS 2015 and KR 2020 General Chair of ESSLLI 2016 Calvanese has secured significant research funding through numerous competitive projects including EU H2020 INFRAEOS Project (INODE), Italian PRIN Project (HOPE), FESR Project (IDEE), and EU FP7 IP Project (Optique), totaling close to 6.4M Euro. As an originator and co-founder of Ontopic, the first spin-off of the Free University of Bozen-Bolzano, he has successfully translated research into commercial applications. He serves as Associate Editor of Artificial Intelligence (AIJ) and has participated in over 200 program committee roles for international conferences. As Director of the Smart Data Factory technology transfer lab and coordinator of the In2Data research group, Calvanese bridges academic research with industry applications, focusing on practical implementations of knowledge graph technologies. His work with the KRDB Research Center has established Bozen-Bolzano as a significant hub for knowledge representation and data management research in Europe.

Peter J. ThomasView profile

Professor

• Systems Neuroscience
• Computational Neuroscience
• Theoretical Biophysics
• +7 more

Peter J. Thomas is a Professor in the Department of Mathematics, Applied Mathematics, and Statistics at Case Western Reserve University's College of Arts and Sciences, with secondary appointments in Electrical Engineering and Computer Science, Cognitive Science, and Biology. He serves as Co-Editor-in-Chief of Biological Cybernetics and leads the Computational Biomathematics Laboratory. Primary Affiliation: Department of Mathematics, Applied Mathematics, and Statistics Secondary Affiliations: Department of Electrical Engineering and Computer Science, Department of Cognitive Science, Department of Biology Leadership: Co-Editor-in-Chief of Biological Cybernetics Thomas earned his B.A. in Physics and Philosophy from Yale University (1990), M.S. in Mathematics from the University of Chicago (1994), and both M.A. in Conceptual Foundations of Science and Ph.D. in Mathematics from the University of Chicago (2000). His research spans mathematical neuroscience, theoretical biophysics, and information theory applications to biological systems. Thomas specializes in understanding how noise and stochasticity affect neural coding, developing mathematical frameworks for gradient sensing in cells, and applying graph theory to biological networks. His work on stochastic shielding has provided novel approaches to simplifying complex stochastic models while preserving essential dynamics. His research bridges theoretical mathematics with experimental neuroscience through collaborations with the Chiel laboratory and others. Thomas's recent publications demonstrate a strong focus on stochastic oscillators, sensory feedback mechanisms, and information theory applications to biological systems. His work consistently develops novel mathematical frameworks to address specific biological questions, with significant contributions to understanding phase dynamics in neural oscillators and information processing in biochemical signaling. Core Fulbright Scholar Program (2013) Simons Fellow in Mathematics Program (2014) Multiple NSF grants as Principal Investigator Co-Editor-in-Chief of Biological Cybernetics Thomas has mentored numerous students at all levels, from undergraduates to postdoctoral researchers. His laboratory has produced successful scholars who have gone on to faculty positions at institutions like New Jersey Institute of Technology and the University of Nevada, Reno. He has actively organized workshops at the Banff International Research Station and served on editorial boards for leading journals in computational neuroscience. The Computational Biomathematics Laboratory focuses on developing mathematical frameworks to understand neural dynamics, cellular signaling, and pattern formation. The lab maintains strong collaborations with experimental neuroscience groups and has made significant contributions to understanding rhythmic neural systems, respiratory control mechanisms, and information processing in biological systems.

• Internal Medicine Nursing
• Chronic Obstructive Pulmonary Disease (COPD) Care
• Cultural Competency in Nursing
• +5 more

Assoc. Prof. Dr. Yasemin CEYHAN is an accomplished academic in nursing, currently serving as an Associate Professor at Kırşehir Ahi Evran University's Faculty of Health Sciences, Department of Nursing. She has been a full-time faculty member since 2013, initially as a Research Assistant (2013-2020) and subsequently as a Doctoral Teaching Member (2020-present). She holds multiple administrative positions including Head of Department (2020-present), Faculty Council Member (2022-present), and Quality Committee Member (2024-present). Dr. CEYHAN completed her Bachelor's Degree in Nursing at Ahi Evran University (2007-2011), followed by a Master's Degree in Nursing at Erciyes University (2012-2015), and earned her Doctorate in Internal Medicine Nursing from Erciyes University (2015-2019). She has completed numerous specialized courses in statistical analysis, meta-analysis, and healthcare research methodology. Her research primarily focuses on Internal Medicine Nursing with particular expertise in Chronic Obstructive Pulmonary Disease (COPD) management, cultural competency in nursing practice, and patient self-management in chronic diseases. She has developed significant expertise in psychometric evaluation of nursing instruments and has contributed substantially to understanding the relationship between cultural sensitivity and nursing care effectiveness. Her work bridges nursing practice with psychological, cultural, and physiological aspects of patient care. Analysis of her publication record reveals a clear evolution from descriptive studies to sophisticated analytical research employing structural equation modeling and randomized controlled trials. Her recent work demonstrates increasing methodological rigor with a focus on mediation and moderation effects in complex patient care scenarios, particularly in COPD management where she examines intricate relationships between symptoms, psychological factors, and self-management behaviors. Poster Presentation 3rd Prize (2014) from Eskişehir Osmangazi University Dr. CEYHAN has successfully supervised multiple Master's theses and currently mentors additional graduate students. She has secured and led several significant research projects funded by TÜBA, TÜBİTAK, and university research funds, focusing on chronic disease management, cultural competency assessment tools, and COPD patient care. Her research portfolio demonstrates a strong commitment to evidence-based nursing practice and instrument development. As an active member of the Turkish Respiratory Research Association (since 2018) and the Turkish Nurses Association (since 2015), Dr. CEYHAN maintains a robust collaborative research network that spans multiple Turkish universities, particularly Erciyes University. Her work reflects a team-oriented research approach with numerous co-authored publications demonstrating interdisciplinary collaboration.

François AlexandreView profile

Research Fellow

• Historical Linguistics
• Comparative Linguistics
• Pacific Languages
• +3 more

François Alexandre is a Senior Research Fellow (Research Fellow) at the CNRS, holding tenured positions in departments LaCiTO (2015–2018) and LaTTiCe (2018–present). He concurrently serves as Honorary Associate Professor in the School of Culture, History & Language at the Australian National University (ANU). He leads major research initiatives such as the ComPLETE project on complex predicates and the HéLiCéO project on Pacific languages preservation. Education: PhD in Linguistics (2001, Université Paris IV Sorbonne), Habilitation à Diriger des Recherches (2014, INALCO). His work focuses on Oceanic languages of Vanuatu and Solomon Islands, emphasizing grammatical description, typology, and language documentation. He conducted extensive fieldwork in Vanuatu (since 1997) and Solomon Islands (since 2005), producing 15+ educational books and bilingual dictionaries for endangered languages. Research interests include linguistic typology, language dynamics, areal linguistics, and semantic change. Recent projects involve semantic databases (Evo Sem) and collaborative archival efforts. Awards include the CNRS Bronze Medal (2004) and election to Academia Europeae (2020). Grants: PI of ANR grant (2004–2007), ELDP Legacy Grant (2017–2018) Service: Convenor of 7 research groups, editor for 3 journals, organizer of major conferences (ICAL11, APLL9) Labs/Teams: Leads CNRS research units and collaborates internationally on language revitalization projects.

• Zoology
• Tardigrade Biology
• Anhydrobiosis
• +4 more

Lorena REBECCHI is a Full Professor in the Department of Life Sciences at the University of Modena and Reggio Emilia. Her research focuses on tardigrade biology, particularly their survival mechanisms under extreme conditions such as desiccation, temperature extremes, and radiation. She explores phylogenetic relationships, symbiotic microbiota, and evolutionary adaptations of these organisms. REBECCHI's work integrates morphological, molecular, and physiological approaches, contributing to understanding anhydrobiosis, stress responses, and tardigrade ecology. Key research areas include tardigrade phylogeny (e.g., resolving their position within Panarthropoda), environmental adaptations (e.g., thermal tolerance and acid resistance), and astrobiology applications (e.g., space flight experiments). She has described multiple new species and revised taxonomic classifications within Tardigrada. REBECCHI collaborates internationally, evidenced by conferences like the 2024 IADCI meeting hosted at her institution. Publications emphasize comparative transcriptomics, symbiont evolution, and the structural basis of tardigrade feeding mechanisms. Her lab's work on Antarctic tardigrades highlights climate change impacts and genetic diversity. REBECCHI's research has practical applications in biotechnology (e.g., space food systems) and environmental monitoring.

David CockView profile

Senior Lecturer

• Formal Verification
• Operating Systems
• Hardware-Software Co-Design
• +3 more

Dr. David Cock is a Senior Lecturer and Senior Researcher at ETH Zürich's Department of Computer Science, affiliated with the Systems Group. He holds a PhD from UNSW (2014) and a B.Sc. (hons) from UNSW (2004). His research focuses on formal verification, trustworthy systems, and hardware-software co-design, with notable contributions to projects like Enzian (a CPU/FPGA platform) and seL4 (formally verified kernel). He teaches Advanced Operating Systems and Informal Methods courses. Key achievements include the ACM Software System Award (2022) for seL4 and leadership in projects addressing hardware complexity and security. Research interests include formal methods for hardware modeling (Sockeye project), runtime verification, and mitigating timing channels. His work bridges theoretical foundations with practical systems, emphasizing secure and reliable computing platforms. Projects like Trustworthy BMC aim to enhance baseboard management systems' assurance. Collaborations span academia and industry, with open-source contributions to hardware designs and formal tools. Publications span formal verification, hardware modeling, and secure systems, with recent focus on heterogeneous computing and declarative hardware specifications. Teaching emphasizes practical formal techniques and OS design, leveraging real-world hardware (e.g., Barrelfish). His lab, the Systems Group, explores cutting-edge challenges in systems software and architecture.

• Fluid Dynamics
• Magnetohydrodynamics
• Turbulence
• +3 more

Kengo Deguchi is a Senior Lecturer in the School of Mathematics at Monash University. His research focuses on fluid dynamics, magnetohydrodynamics, and turbulence phenomena. He leads and collaborates on ARC-funded projects exploring flow control via topography, vortex dynamics in complex flows, and mathematical descriptions of magneto-hydrodynamic turbulence. Notable awards include the 2018 Faculty of Science Research Excellence Award and Vice-Chancellor’s Early Career Excellence Award. Education: Doctorate in Fluid Dynamics (details not specified in text) His research interests emphasize nonlinear instabilities, vortex dynamics, and coherent structures in shear flows. Recent work investigates Taylor-Couette flow chaos, subcritical transitions, and MHD dynamos. Over 40 publications span topics like turbulence statistics, chaotic patterns, and fluid instabilities. Key projects include investigating vortex persistence in counter-rotating systems and developing mathematical frameworks for MHD turbulence. He has secured funding through ARC grants (2017-2026) and collaborates internationally with experts like Prof. Hall and Prof. Blackburn. Grants: $A 2.6M+ in ARC funding (2017-2026) Labs/Teams: Collaborative fluid dynamics research groups focused on experimental and computational turbulence studies