Dr. Jesse Sharp is a Research Fellow and Co-leader of the Environment, Agriculture & Natural Systems Theme in QUT's Centre for Data Science. His research fuses applied mathematics, statistics, and data science to model ecological and agricultural systems, emphasizing sustainability and resilience. Projects involve collaborative industry partnerships to optimize environmental decision-making. Research domains include: Ecological dynamics under environmental change High-performance computational methods for biological systems Uncertainty quantification in complex models Publications demonstrate strong cross-disciplinary integration, with applications spanning coral reef recovery, cancer treatment optimization, and sustainable fisheries. Methodological innovations appear in parameter estimation techniques and optimal control frameworks. No awards are documented.
Annette Peart is a Senior Research Fellow in Addiction Studies at the Eastern Health Clinical School, Monash University, collaborating with Turning Point Australia. Her work focuses on evaluating telephone and online services for addiction treatment, emphasizing accessibility and navigation support for individuals and their families. She holds a PhD from Monash University (2020) and has clinical and academic experience as an occupational therapist, including roles at CRS Australia and Monash University's Department of Occupational Therapy. Education: PhD, Monash University (2020) Masters of Health Sciences in Occupational Therapy, University of South Australia Bachelor of Occupational Therapy, La Trobe University Graduate Certificate in Management, RMIT University Research Interests: Peer navigation programs for addiction support Online and telehealth interventions in substance use treatment Person-centered care for chronic conditions Family-centered approaches in addiction recovery Key Awards: Leon Piterman PhD Scholarship (2016) SPHC Research Seeding Grant (2016) Grants & Projects: Chief Investigator in initiatives like 'Gambling Help Online Refresh' (2023–2025) Leadership in impact studies of addiction education programs She has extensive collaborations in Australia and internationally, contributing to UN Sustainable Development Goals related to health and well-being.
Professor Patrick Kwan is a clinician-researcher and international authority in epileptology and antiepileptic drug development. He holds the position of Professor of Neurology in the Department of Neuroscience at Monash University's School of Translational Medicine and serves as Co-Director of the Monash Institute of Medical Engineering. Clinically, he is a Consultant Neurologist at Alfred Health, specializing in epilepsy. He is a Fellow of the Australian Academy of Health and Medical Sciences and previously chaired the Medical Therapies Commission of the International League Against Epilepsy (2013–2017). Education: Clinical Medicine (MB, BChir), University of Cambridge PhD in Medicine and Therapeutics, University of Glasgow BMedSci in Preclinical Medicine, University of Nottingham Research Interests: AI models for epilepsy treatment prediction and ethical implications Stem cell-derived neuronal platforms for personalized drug discovery Biosensors for point-of-care diagnostics Wearable sensors for seizure monitoring His research integrates genomics, stem cells, bioengineering, and AI to achieve personalized epilepsy management. He leads a multidisciplinary team with collaborations across academia, hospitals, and MedTech industries. Awards: Fellow of the Australian Academy of Health and Medical Sciences Developing Predictive Biomarkers of Epilepsy Seizures (2016) Grants & Projects: BrainAssure: Electrochemical sensor platform for brain health monitoring (2025–2026) Diagnosing brain bleed using a drop of blood (2025–2027) EEG biomarkers for altered consciousness (2024–2025) Labs/Teams: Kwan Lab at Monash University, focusing on precision medicine and engineering solutions for neurological disorders.
Carolynne Cormack is a Senior Lecturer in the Department of Medical Imaging & Radiation Sciences at Monash University , affiliated with the Medicine Nursing and Health Sciences school. She holds a Doctorate by Research in Medicine Nursing and Health Sciences and focuses on advancing interprofessional and point-of-care ultrasound education. Her research emphasizes Health Professional Education , Interprofessional Education , and Ultrasound Applications , particularly in emergency and trauma contexts. Notable projects include leading the Equipping Sonographers for Point of Care Ultrasound Education initiative (2025–2026), aimed at improving ultrasound training standards. Key Projects: Equipping Sonographers for Point of Care Ultrasound Education (2025–2026, Primary Chief Investigator) Her work bridges clinical practice and education, with publications addressing credentialing frameworks, interprofessional collaboration, and scoping reviews of Australasian ultrasound education. She advocates for standardized pillars in point-of-care ultrasound training to enhance diagnostic accuracy and healthcare efficiency. Recent articles highlight qualitative studies on sonographer experiences, Delphi consensus methodologies for competency frameworks, and surveys of Australasian emergency ultrasound practices. Her research underscores the need for evidence-based educational models in medical imaging.
Jiwook Jang is an Associate Professor of Actuarial Studies in the Department of Actuarial Studies and Business Analytics at Macquarie Business School, Macquarie University. He maintains dual affiliations with the Data Horizons Research Centre and the Emerging Risks Research Centre, reflecting his expertise in both traditional and emerging risk domains. Dr. Jang earned his B.A. in Business Administration from Sogang University, Seoul, followed by a Master of Science in Actuarial Science from City University, London, and completed his Ph.D. in Statistics at the London School of Economics and Political Science (LSE) in 1998. His academic journey includes positions as Lecturer of Statistics at LSE, Lecturer of Actuarial Studies at the University of New South Wales, and Senior Lecturer of Financial Mathematics at Bayes Business School, London. His research program centers on developing sophisticated stochastic models for insurance and financial risk applications. He specializes in compound processes including Poisson, Cox, Hawkes, shot-noise Poisson, and dynamic contagion processes, with recent expansion into cyber risk modeling. His work bridges theoretical mathematical frameworks with practical industry applications, particularly in catastrophe reinsurance and cyber risk assessment. Dr. Jang's publication trajectory shows a strategic evolution from foundational actuarial mathematics toward emerging cyber risks, with multiple high-impact publications in 2022-2025 addressing cyber risk frequency, severity, pricing mechanisms, and systemic implications. His research integrates mathematical rigor with industry relevance, particularly evident in his recent work on multivariate contagion processes for modeling business sector spillover dynamics. His significant research projects include: Catastrophe Insurance and Asian Option Pricing with Advanced Models (2018-present) Quantification of cyber risk and its driving risk factors: Optus-Macquarie Cybersecurity Hub (2020-2021) Deed of Standing Offer - Services for Health Economics Services Panel (2015-2018) Dr. Jang has established a robust international research network, evidenced by invitations to present at leading institutions worldwide including Imperial College London, KAIST, ETH Zurich, and multiple Korean universities. His research fingerprint confirms distinctive expertise in Shot Noise Processes (100%), Cox Processes (92%), and Cyber Risk (60%), positioning him at the forefront of mathematical risk modeling.
Robin Milne is an Adjunct Senior Research Fellow in the Department of Mathematics and Statistics at the School of Physics, Maths and Computing, University of Western Australia, specializing in statistical modeling and stochastic processes. His core research domains include: Probability Theory Statistics Applied Probability Applied Statistics Stochastic Processes Point Processes His methodology integrates advanced statistical techniques with real-world applications across geology, biophysics, and public health, emphasizing practical problem-solving through probabilistic frameworks. Recent publications reveal strong interdisciplinary trends: mineral prospectivity analysis using spatial statistics and machine learning (2021-2025), biophysical modeling of ion channels via hidden Markov models (2019), and methodological innovations in Monte Carlo hypothesis testing (2017), alongside public health surveys on breast cancer chemoprevention (2020). Dr. Milne has supervised three research students and led the ARC-funded project "Ion Channels Interactions: Stochastic Modelling and Inference" (1998-2000), demonstrating sustained expertise in statistical applications to complex scientific systems.
Dr. Amirali Khodadadian Gostar is a Senior Lecturer at the School of Engineering, RMIT University. His research focuses on machine learning, data analytics, multi-object tracking, sensor management, and data-driven manufacturing. He has contributed to advancements in autonomous systems, anomaly detection, and multi-agent coordination through projects like distributed information fusion for connected vehicles and geometrically-informed tracking algorithms. Research Interests : Image processing, sensor fusion, robotics, control systems, and industrial automation. Key Projects : Development of electronic pre-tension systems for seatbelts, AI-driven logistics optimization, and stereo vision systems for defect detection. Publications : Over 60 peer-reviewed articles in top journals/conferences such as IEEE Transactions on Intelligent Transportation Systems and ISA Transactions, focusing on tracking algorithms, anomaly detection, and multi-agent systems. His work bridges theoretical frameworks (e.g., random finite set theory) with practical applications in robotics, transportation, and manufacturing. He actively supervises PhD/Master's students on topics ranging from quantum AI in logistics to eye gaze tracking for visual attention modeling.
Dr. Jason Atnip is a researcher in the School of Mathematics and Statistics at UNSW Sydney. His work focuses on applied and statistical aspects of dynamical systems and ergodic theory, using functional analytic and spectral methods to prove stochastic, fractal geometric, and extreme value theoretic properties of dynamical systems. His research has applications in ocean and atmospheric models, particularly in understanding extreme weather events. He also engages in mathematical outreach to high school students. University: UNSW Sydney School: School of Mathematics and Statistics Academic Rank: Researcher Email: j.atnip@unsw.edu.au Research Interests: Dr. Atnip's research spans dynamical systems, ergodic theory, random dynamics, and open systems, with a focus on spectral techniques. His work connects mathematical theory to real-world applications in climate modeling and extreme event prediction. He also develops outreach activities to demonstrate the beauty of mathematics to younger audiences. Publication Trends: Dr. Atnip's recent articles (2025–2018) emphasize extreme value theory, thermodynamic formalism, random systems, and fractal geometry. His work often integrates spectral methods with applications in geophysical models. Location: He is based at The Red Centre, UNSW Sydney, NSW 2052, Room 2075.
Dr. Mitch Bryson is a Lecturer at the School of Aerospace, Mechanical and Mechatronic Engineering , The University of Sydney , and serves as Director of the Undergraduate Mechatronics Program. His research focuses on aerial and marine robotic navigation , sensor fusion , and 3D perception for ecological applications. His work integrates computer vision , hyperspectral imaging , and LiDAR to advance autonomous environmental monitoring in forestry , marine science , and ecological surveying . Recent projects emphasize deep learning for 3D point cloud analysis and domain adaptation with synthetic data. He contributes to remote sensing and robotics literature across journals like ISPRS Journal of Photogrammetry , Remote Sensing , and Journal of Field Robotics . Key grants include the ARC Research Hub in Intelligent Robotic Systems (2023) and NIFPI Collaboration Project (2019). He supervises research students in projects spanning 3D reconstruction , tree segmentation , and autonomous perception . Affiliated with the Australian Centre for Field Robotics and Sydney Institute for Robotics and Intelligent Systems , his work bridges robotics , ecology , and environmental science .
Associate Professor Ravi Seethamraju is a faculty member in the Department of Accounting at the University of Sydney Business School. His research focuses on IT-enabled innovations in organizational performance, healthcare analytics, blockchain applications in accounting, and educational technology. He holds a BTech (Mech) from JNTU, M IndEng from NITIE, GradDip Ad Ed from UTS, and a PhD from Western Sydney University. Research: Explores AI solutions for diabetic retinopathy detection, blockchain's impact on accounting professions, digital disruption in public health systems, and cross-cultural effects on managerial reporting. Collaborates with institutions like IIM Bangalore and IIT Madras, and serves on committees for the Association for Information Systems and APICS Supply Chain Council. Teaching: Teaches accounting systems, management accounting, and ERP-based courses. Developed curriculum innovations including ERP business simulation games and blended learning initiatives. Previously taught at University of Western Sydney, Macquarie Graduate School of Management, and Queensland University of Technology. Awards: Received teaching excellence awards from Sydney Business School and Kit Dampney Prize. Holds three best paper awards at international conferences. Serves on editorial boards for journals like Information Systems Frontiers and International Journal of Operations & Quantitative Management. Industry Links: Maintains active engagement through consultancy, training senior Chinese executives in enterprise systems, and advising the Supply Chain Council ANZ. Focuses on bridging academic research with practical applications in public health systems and SME digital transformation.
Boris Eisenbart is a Professor of Product Design Engineering at Swinburne University of Technology, jointly appointed between the School of Design and Architecture and the School of Engineering. He serves as the Course Coordinator for the Product Design Engineering Program and is actively engaged in research, teaching, and academic service. His research focuses on engineering design , innovation management , and composite manufacturing , with emphasis on digital modeling, process optimization, and interdisciplinary collaboration. His work spans fields such as Resin Transfer Moulding, finite element simulation, AI in manufacturing, and sustainable product development. Recent publications highlight a strong trend in data-driven modeling , Industry 4.0 , and composite process optimization , often integrating machine learning and simulation techniques to improve manufacturing efficiency and quality. His research also extends to futuristic domains like lunar metallurgy and smart product prototyping. Boris has served on the Programme Committee of the International Conference on Engineering Design (ICED) and is a member of the Editorial Board of the Journal of Engineering Design . Supervision: He is actively supervising numerous PhD students in areas including AI in engineering change, composite automation, digital twins, and sustainable design. Grants: He has led multiple research projects funded by government bodies (e.g., Department of Education Victoria, CSIRO) and industry partners (e.g., Ford, FIA, FALCON UAV), covering topics such as hydrogen storage, lightweight composites, and drone-based bird scarers. Labs and Teams: He leads research through the Swin Composite Sync 4.0 (SCS4) data acquisition system, enabling Industry 4.0 advancements in composite manufacturing. His work integrates digital twins, simulation, and real-time monitoring for process optimization.
Professor Pat Rajeev is a distinguished academic and Department Chair in the Department of Civil and Construction Engineering at Swinburne University of Technology, within the School of Engineering. He holds the rank of Professor and leads research and teaching in structural, geotechnical, and sustainable infrastructure engineering. PhD in Earthquake Engineering, ROSE School, University of Pavia, Italy (2005–2008) M.Sc. in Earthquake Engineering, ROSE School, University of Pavia, Italy (2004–2005) B.Sc. (Hons) in Civil Engineering, University of Peradeniya, Sri Lanka (1999–2003) His research focuses on earthquake-resistant design, pipeline engineering, soil-foundation-structure interaction, 3D concrete printing, structural health monitoring, and infrastructure asset management. He pioneers sustainable construction through geopolymer concrete, waste utilization, and low-carbon technologies. His work integrates advanced numerical modeling, sensor technology, and reliability analysis to enhance structural resilience. His recent publications highlight innovations in 3D printed concrete, fire performance of timber, textile reinforcement, and CO2 sequestration. These works emphasize sustainability, structural performance, and digital engineering, reflecting a strong trend toward smart, resilient, and environmentally responsible infrastructure. Fellow, Institute of Engineers Australia (2023–present) Chartered Professional Engineer, IEAust (2023–present) School of Engineering Mid-Career Researcher Award, Swinburne (2023) Editor's Choice Award, Canadian Geotechnical Journal (2012) Multiple Teaching Excellence Awards, Swinburne University Professor Rajeev actively supervises over 20 HDR students and leads major research grants from the Australian Research Council, CRCs, and industry partners. His leadership extends to directing the Trimble Technology Lab and co-leading the Centre for Sustainable Infrastructure. His work bridges academia and industry, advancing digital construction and sustainable infrastructure solutions.
Mo Hossny is a Senior Lecturer at the University of New South Wales (UNSW) Canberra within the School of Systems & Computing . His academic journey includes a BSc in Computer Science from Cairo University, an MSc in Computer Science through collaboration with the IBM Centre of Advance Studies (CAS) , and a PhD from Deakin University’s Institute for Intelligent Systems and Research Innovation (IISRI) , where he developed an algebraic framework for multimodal image fusion. Education BSc in Computer Science, Cairo University MSc in Computer Science, IBM CAS PhD, Deakin University Dr. Hossny’s research spans interdisciplinary domains at the intersection of biomechanics , machine learning , and autonomous systems . Key areas include marker-less motion capture, ocular biomechanics in virtual reality, image fusion techniques, and real-time intent prediction for vulnerable road users. His work has been applied to fields ranging from autonomous vehicle safety to dermatology and agricultural robotics . Recent publications highlight his expertise in 3D point cloud processing (e.g., VoxelScape dataset), UAV navigation ( Sky Shepherd ), and deep learning for ocular fatigue analysis in VR environments. His technical contributions include novel frameworks for LiDAR inpainting , DDPG control refinement , and spatio-temporal pedestrian prediction .
Dr. Emiliya Suprun is a Lecturer in Systems Engineering at UNSW Canberra's School of Systems and Computing (SYSCOM) and Capability Systems Centre. She joined UNSW in 2023 following postdoctoral research at Griffith University's School of Engineering & Built Environment. Her research develops integrated decision-support systems using system dynamics modeling, digital engineering, and operational research methods, with applications in construction innovation, infrastructure digitization, and sustainability. Research Focus: Dr. Suprun's interdisciplinary work bridges: Systems Engineering : Developing robust modeling frameworks for complex infrastructure systems Digital Transformation : Creating maturity assessment tools for organizational digitization Sustainability Integration : Addressing modern slavery, ethical compliance, and environmental management in construction Policy Innovation : Using participatory modeling for industry transformation and crisis response Publication Trends: Her 15 most recent works (2019-2025) demonstrate consistent focus on system dynamics applications. Early research examined innovation ecosystems in construction, while recent publications address cybersecurity in space infrastructure, digital maturity frameworks, and ethical supply chains. This evolution shows expanding scope from industry-specific models to mission-critical systems protection. Awards & Recognition: Teaching Commendation (Griffith, 2022) Research Excellence Group Award (Griffith, 2019) Multiple conference scholarships (System Dynamics Society 2016-2018) Russian Presidential Grant for international research (2013) Research Leadership: Secured grants including: Cyber resilience for energy systems (UNSW, 2023) Causal AI effectiveness (Griffith, 2022) Climate impact evaluation (Building Queensland, 2020) Active in professional societies including INCOSE and System Dynamics Society.
Ben Newell is Professor of Behavioural Science at the School of Psychology, University of New South Wales (UNSW Sydney), and Director of the UNSW Institute for Climate Risk & Response (ICRR). His interdisciplinary work bridges psychology, climate science, economics, and governance to address climate risks. He serves on advisory panels including the Australian Government's Behavioural Economics Team (BETA) and the National Health and Climate Strategy advisory group. His research examines cognitive foundations of judgment and decision-making across environmental, medical, financial, and forensic contexts, with emphasis on: Perception and management of uncertainty and risk Psychological dimensions of climate change responses Behavioural interventions for sustainability and health Neurocognitive and computational models of choice Publication analysis reveals strong focus on decision processes in uncertainty, climate risk communication, behavioral interventions, and methodological innovations in cognitive modeling. Recent work increasingly addresses algorithmic decision-making and climate policy applications. Awards & Recognition: Fellow, Psychonomic Society Member, Society for Judgment & Decision Making Member, Cognitive Science Society He actively mentors PhD and Master's students in decision science and climate psychology. As ICRR Director, he leads interdisciplinary teams developing behavioral strategies for climate adaptation. His research has influenced government policy frameworks and public health initiatives.
