Aleksandr Zinoviev is a Senior Research Associate at the School of Engineering and Information Technology (SEIT) at UNSW Canberra, where he has been working since 2022. His research spans multiple institutions across the globe, including previous positions at Siemens Digital Industries Software in Belgium, University of Bremen and AMSIS GmbH in Germany, and Institute of Strength Physics and Materials Science of the Russian Academy of Sciences and Tomsk Polytechnic University in Russia. He has also conducted research stays at the University of Bremen (Germany) and São Paulo State University (Brazil). Dr. Zinoviev's research interests are highly interdisciplinary, focusing on metal additive manufacturing, thermodynamics of materials, computational materials science, solid mechanics, software engineering, and machine learning. He specializes in developing and applying novel knowledge-based approaches to address engineering challenges, particularly in improving materials and parts produced by advanced manufacturing, optimizing production processes, and enhancing data processing. His work bridges the gap between fundamental materials science and practical engineering applications, with a strong emphasis on computational modeling and simulation. Analysis of his recent publications (2021-2025) reveals a consistent focus on additive manufacturing process modeling, microstructure-property relationships in additively manufactured metals, and computational approaches to materials science. His research particularly emphasizes cellular automata modeling, multiscale simulation techniques, and the application of machine learning to materials processing. The publications demonstrate expertise in both experimental characterization and advanced computational methods for predicting mechanical behavior of additively manufactured components. Dr. Zinoviev actively mentors prospective PhD and Research Master's candidates, offering guidance on topics related to thermal modeling of additive manufacturing and process optimization. He has indicated that scholarships of up to $35,000 (AUD) are available for qualified candidates who achieved High Distinction in their undergraduate program and/or have completed a Masters by Research.
David Frazier is a Professor in the Department of Econometrics & Business Statistics at Monash University, specializing in simulation-based inference, financial econometrics, and nonparametric/semiparametric modeling. He teaches ETC 1010: Data Modeling and Computing. His research focuses on robust statistical methods, Bayesian computation, and model misspecification. Key projects include 'Consequences of Model Misspecification in Approximate Bayesian Computation' (2020-2025) and 'Loss-based Bayesian Prediction' (2020-2025). Recent work addresses forecasting in misspecified models, weak identification in econometric frameworks, and robust variational Bayes techniques. His contributions align with UN Sustainable Development Goals related to economic and environmental sustainability. Projects: 4 active/funded projects with ARC, Brown University, and international collaborators. Publications: Over 37 peer-reviewed articles in journals like the Journal of the American Statistical Association and Journal of Econometrics. Research interests include advancing Bayesian methodologies for complex models, with applications in asset pricing and economic forecasting. His work emphasizes reliability in statistical inference under model uncertainty and computational efficiency.
Chi-Kwan Lee is a Professor at the University of Technology Sydney (UTS), School of Electrical and Data Engineering since 2024. Previously, he held roles including Associate Professor (2018-2023) and Assistant Professor (2012-2017) at the University of Hong Kong. He earned his B.Eng. and Ph.D. in Electronic Engineering from City University of Hong Kong (1999 and 2004). His research focuses on electric power conversion, electromagnetic devices, wireless power transfer, renewable energy, and smart grid technologies. He was a Visiting Researcher at Imperial College London (2010-2020). Research Highlights: Prof. Lee has pioneered advancements in wireless power transfer for medical devices (e.g., capsule endoscopy) and electric vehicles, with breakthroughs in efficiency optimization and misalignment mitigation. His work on hybrid stepper motor systems and magnetoresistive sensors addresses challenges in contactless actuation and high-voltage current sensing. Awards & Contributions: A Senior Member of IEEE and recipient of the 2015 IEEE Power Electronics Society Transactions First Prize Paper Award. He serves on IEEE PELS committees and editorial boards of key journals like IEEE Transactions on Power Electronics. Grants & Labs: Active in funded research projects related to wireless charging systems, smart grids, and renewable energy integration. His work spans academic collaborations, industry partnerships, and international conferences.
Professor Lisa Barnett is a leading academic in Physical Activity and Health at Deakin University's Institute for Physical Activity and Nutrition within the Faculty of Health. She currently serves as Associate Head of School for Research and has held progressive academic positions since 2009, advancing from Lecturer to her current Professorship (2022-present). Her internationally recognized work focuses on developing measurement tools and interventions to improve physical literacy, with particular expertise in motor skills assessment. Doctor of Philosophy, University of Sydney Master of Public Health, University of New South Wales Graduate Certificate of Higher Education, Deakin University Bachelor of Social Science, Edith Cowan University Professor Barnett's research has established her as the number one researcher in the world in motor skills according to Expertscape. Her work bridges academic research with practical application through extensive industry partnerships and international collaborations. She developed the pictorial scale for Perceived Movement Skill Competence in 2016, now used in 35 countries, and co-led the development of the Australian Physical Literacy Definition and Framework in 2019. In 2021, she led development of an innovative pictorial tool to measure children's physical literacy for the Australian Sports Commission, requested by researchers from 22 countries across 17 language groups. Her research interests focus on Motor Skills, Physical Self-Perception, Physical Literacy, and Physical Activity measurement and intervention. Her recent publications demonstrate strong continuity in her research program, with 2025 articles focusing on physical literacy measurement tools, motor competence assessment, and interventions targeting children's physical activity. These works show increasing methodological sophistication with applications of artificial intelligence, longitudinal program evaluation, and digital health approaches. Number one researcher in the world in motor skills (Expertscape) Past President of the International Motor Development Research Consortium Co-leads the Physical Literacy Special Interest Group for the Asia Pacific Society of Physical Activity Professor Barnett has secured substantial research funding, including current grants such as 'Culturally adapting the Resistance Training for Teens movement intervention for Middle Eastern adolescent girls' and 'Implementation of a physical activity and physical literacy tool in schools.' She actively supervises doctoral students across diverse topics related to physical literacy, motor competence, and inclusive physical activity practices. Her leadership extends to directing research centers and contributing to national frameworks, demonstrating significant impact beyond traditional academic boundaries. She leads the Institute for Physical Activity and Nutrition research group and has been instrumental in developing international physical literacy standards and assessment tools that are transforming how children's movement skills are measured and developed worldwide.
Dr. Gea Rahman is a Lecturer in Computing at Charles Sturt University (CSU), specializing in data science and machine learning. He holds a PhD in Computer Science from CSU, and MSc/BSc degrees from Rajshahi University, Bangladesh, where he was awarded a Gold Medal for academic excellence. With over 20 years of teaching experience, he previously served as Professor and Programme Director at Bangladesh Agricultural University. Education: PhD in Computer Science (Data Science/ML), Charles Sturt University (2011-2015) MSc in Computer Science & Engineering, Rajshahi University (2002-2003) BSc (Hons) in Computer Science & Technology, Rajshahi University (1998-2002) Research Interests: Data science applications in agriculture, healthcare, and environmental monitoring Machine learning techniques including ensemble/deep learning, transfer learning, and incremental learning Data preprocessing methods (missing value imputation, outlier analysis) AI ethics and healthcare consent strategies Awards: Global Research Impact Recognition Award 2020 Best Researcher Award Gold Medal for Academic Excellence (2003) Advising & Grants: Principal supervisor for multiple postgraduate students Recipient of grants including: Ai-Enabled Segmentation of Brain MRI (2024) Adaptive Federated Learning Framework (2024) Unusual Behaviour Detection in Aged Care (2023) He is part of the Data Mining Research Group (DaMRG) and actively contributes to conferences/journals as a reviewer and editorial board member.
Professor Marcel Dinger is a prominent academic and researcher currently serving as Professor and Head of School for Biotechnology and Biomolecular Sciences at UNSW Sydney. With over 20 years of experience in genomics, he has established himself as a leading figure in both academic and entrepreneurial spheres within the field. He has published 153 papers with over 24,000 citations and maintains an h-index of 61 on Google Scholar. His leadership extends beyond academia as he serves as President of the Australasian Genomics Technologies Association (AGTA) and holds director positions at Pryzm Health and the National Centre for Indigenous Genomics (NCIG). Professor Dinger's research laboratory focuses on establishing new links between phenotype and genotype, particularly examining rare and complex diseases in relation to underexplored regions of the genome including pseudogenes, repetitive elements, non-canonical DNA structures, and noncoding RNAs. His work harnesses population-scale genomic datasets and sophisticated data science methods to bring an objective perspective to understanding how the genome stores information and how it is transacted in biology. His research interests span genomics, non-coding RNA biology, clinical applications of genomic medicine, and the development of computational approaches for analyzing complex genomic data. Analysis of Professor Dinger's recent publications reveals a strong emphasis on non-coding RNA research, particularly long noncoding RNAs and their roles in disease mechanisms. His work spans cancer genomics, neurological disorders, and fundamental genomic mechanisms including DNA secondary structures like i-motifs and G-quadruplexes. His research combines experimental approaches with advanced bioinformatics to address fundamental questions in genomic medicine and has significant translational implications for disease diagnosis and treatment. Highly Cited Researcher in Cross-Field category (2019, 2020, 2021) Fellow of the Faculty of Science (Research), Royal Society of Pathologists of Australasia (2016) NHMRC Career Development Award (2010) Queensland Government Smart Futures Fellowship (2009) Foundation of Research, Science and Technology New Zealand Postdoctoral Fellowship (2005) Professor Dinger has been instrumental in establishing and leading several significant research initiatives including Genome.One, one of the first companies globally to provide clinical whole genome sequencing services, and the Kinghorn Centre for Clinical Genomics at the Garvan Institute of Medical Research. His entrepreneurial experience includes founding four biotechnology and IT startups. He serves on multiple governance boards including the National Centre for Indigenous Genomics, focusing on using genomics to improve health outcomes for Australia's First Peoples. His laboratory at UNSW continues to advance our understanding of genomic regulation and its implications for human health and disease.
Associate Professor Kai-Hsiang Chuang is a Principal Research Fellow at the School of Biomedical Sciences within the Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. He is also affiliated with the Queensland Brain Institute and the Centre for Advanced Imaging. His research focuses on understanding brain networks, developing advanced imaging techniques, and translating these findings to improve diagnosis and intervention for neurological disorders. Dr. Chuang received his Ph.D. in electrical and biomedical engineering from the National Taiwan University, Taiwan, in 2001. His doctoral research focused on improving the detection of brain activity using functional magnetic resonance imaging (fMRI). Ph.D. in Electrical and Biomedical Engineering, National Taiwan University (2001) Dr. Chuang's research spans multiple areas of brain imaging and neuroscience. His primary focus is on functional brain mapping , where he develops in vivo imaging techniques including functional MRI and multimodal integration with optogenetics, calcium imaging, and electrophysiology. He applies these techniques in both humans and animal models to improve understanding and intervention of brain function, disease processes, and treatment effects. Another key area is brain networks in learning, memory, and dementia . His work explores how brain network wiring and activity underpin cognition and behavior, with particular focus on understanding the causal relationship between brain network activity and memory formation. He develops techniques to modulate behavior by manipulating brain network activity. More recently, Dr. Chuang has expanded into brain waste clearance research, studying the brain's fluid drainage system that clears waste and toxic molecules like amyloid plaques. His lab is developing imaging techniques to track this system's function and understand its regulatory mechanisms, which could provide new treatment targets for dementia. Analysis of Dr. Chuang's recent publications reveals a strong focus on advancing functional MRI techniques for brain network analysis, particularly in rodent models. His work consistently bridges basic neuroscience with clinical applications, especially in understanding memory formation and dementia. A notable trend is the development of multimodal approaches that combine fMRI with optogenetics, calcium imaging, and electrophysiology to establish causal relationships in brain networks. His research increasingly addresses the translation of preclinical findings to human applications, with growing emphasis on Alzheimer's disease mechanisms and potential interventions. Dr. Chuang serves on the editorial boards of multiple prestigious journals including Frontiers in Neuroscience: Brain Imaging Methods , Imaging Neuroscience , and Scientific Reports , reflecting his standing in the field. Editorial Board Member, Frontiers in Neuroscience: Brain Imaging Methods Editorial Board Member, Imaging Neuroscience Editorial Board Member, Scientific Reports Dr. Chuang is actively involved in research supervision, currently serving as Principal Advisor for one PhD student working on "Developing imaging and neuro-technologies for decoding memory formation" and Associate Advisor for two other PhD projects. He has successfully completed supervision of three PhD students on topics related to resting-state networks, memory consolidation, and functional MRI. ARC Discovery Projects (2024-2028): "Decoding the brain network of memory formation" ARC Training Centre for Innovation in Biomedical Imaging Technology (2017-2024) NHMRC-NIH BRAIN Initiative Collaborative Research Grants (2016-2023) Universities Australia - Germany Joint Research Co-operation Scheme (2017-2018) Mater Medical Research Institute Limited grant for mindfulness-based cognitive therapy research (2017-2020) Dr. Chuang leads the Functional and Molecular Neuroimaging Group at the Queensland Brain Institute. His laboratory focuses on understanding the functional connectome of the brain and developing functional and molecular imaging techniques to study brain connectivity associated with behavior. The group has developed various MRI techniques to track neuronal connections, map large-scale brain synchrony, and quantify cerebral blood flow and metabolism in vivo. His research team collaborates extensively with other experts at UQ and internationally, including collaborations with Associate Professor Darryl Eyles, Professor Jürgen Götz, Professor Tianzi Jiang, Dr. Fatima Nasrallah, Professor Linda J. Richards, Professor Pankaj Sah, Professor Elizabeth Coulson, Dr. Patricio Opazo, Professor Feng Liu, and Professor Markus Barth.
Associate Professor Wayne Wobcke is a faculty member in the School of Computer Science and Engineering at the University of New South Wales (UNSW), where he has been employed since 2002. His academic career includes previous positions at the University of Sydney until 1998, British Telecom Labs in the UK for three years, and the University of Melbourne for one year. He holds a PhD in Computer Science from the University of Essex (1989), an MSc from the University of Queensland (1985), and a BSc (Hons) in Mathematics/Computer Science from the University of Queensland (1984). Dr. Wobcke's research spans both theoretical and practical aspects of artificial intelligence and data science. His work encompasses intelligent agents, data mining, agent-based modeling, dialogue management, personal assistants, recommender systems, and computational social science. He has collaborated extensively with industry through three Cooperative Research Centres (Smart Internet Technology CRC, Smart Services CRC, and Data to Decisions CRC), where he served as a Programme Manager and Project Leader for over 10 years. Notable achievements include developing a voice-controlled mobile application for email and calendar interaction (a precursor to Apple's Siri) and deploying a people-to-people recommender system for online dating on one of Australia's largest dating sites. His recent research focuses on data science in humanitarian contexts and machine learning applications in official statistics, conducted in collaboration with BPS (Statistics Indonesia) and STIS (Politeknik Statistika, Indonesia). His publication record shows a consistent trajectory of impactful research, with recent work concentrating on poverty targeting, domain adaptation, natural language processing for recommender systems, and political opinion mining. Scientific Awards: Best Paper Nomination, 11th Workshop on Argument Mining (2024) UNSW Arc Postgraduate Research Supervisor Award (2017, 2018) AAAI Deployed AI Application Award, Twenty-Sixth Annual Conference on Innovative Applications of Artificial Intelligence (2014) Best application paper runner up, 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (2013) Dr. Wobcke has successfully supervised numerous research students, with Irwan Rahadi currently working on 'Causal Modelling and Machine Learning for Official Statistics'. His grant portfolio includes significant funding from the Australian Research Council and various Cooperative Research Centres, totaling over $3.7 million since 2003. He teaches COMP9414 Artificial Intelligence and COMP9727 Recommender Systems at UNSW.
Stewart Clegg is a Professor in the School of Project Management at the University of Sydney's Faculty of Engineering. Previously Distinguished Professor of Management at UTS, he holds visiting roles at University of Stavanger and Nova School of Business. His research focuses on organization theory, power dynamics, and project management, with notable contributions to paradox theory and megaproject governance. Clegg has received numerous awards including EGOS Honorary Membership and the Edith Penrose Award. He advises on Asian-Pacific digital strategy initiatives and chairs studies on public-private partnerships. Education: D.Phil (Umeå) D.Litt (UTS) Ph.D (Bradford) BSc. Hons (Aston) Research Interests: Combining sociological theory with practical project challenges, Clegg explores how power structures shape organizational behavior and project outcomes. Key themes include improvisation in crisis management, paradoxical tensions in decision-making, and the governance of large-scale infrastructure projects. His work bridges academic rigor with real-world applications in public policy and corporate strategy. Publications: Clegg has authored/edited over 50 books including Frameworks of Power and Project Management: A Value Creation Approach . His recent work addresses AI in management education, PPP frameworks in smart cities, and pandemic crisis improvisation. Awards: EGOS Honorary Member (2020) AOM Fellow (2018) Edith Penrose Award (2020) Multiple Emerald Literati Awards Grants & Projects: Current ARC Linkage Grants investigate infrastructure PPPs, Sydney Water program delivery, and Asia-Pacific digital strategies. He leads ASSA workshops on PPP governance. Labs/Teams: Engaged with interdisciplinary teams at Sydney's School of Project Management and international collaborations at institutions like Nova School and Aston University.
Justin Hastings is a Professor of International Relations and Comparative Politics at the University of Sydney's Department of Government and International Relations. He holds affiliations with key research centers including the Sydney Southeast Asia Centre, China Studies Centre, and Sydney Cyber Security Network. His research focuses on clandestine non-state actors (terrorists, smugglers, pirates), nuclear proliferation, and regional security dynamics in Northeast Asia, Southeast Asia, and the Indian Ocean. He previously served as an Assistant Professor at Georgia Institute of Technology. Education: AB from Princeton University (2001), MA (2003) and PhD (2008) in Political Science from University of California, Berkeley. Research interests include political geography, globalization's impact on security, and transnational criminal networks. Recent work examines North Korea's global economic engagement, maritime security, and nuclear proliferation networks. His notable publications include A Most Enterprising Country: North Korea in the Global Economy (2016) and No Man's Land: Globalization, Territory, and Clandestine Groups in Southeast Asia (2010). Grants include ARC-funded projects on North Korean trade networks, agricultural conflicts, and nuclear proliferation. He advises PhD student Daniel Gomez on U.S. South China Sea policy. Collaborations span institutions like KAIST (South Korea) and the International Atomic Energy Agency. Labs/Teams: Active in cross-disciplinary research networks addressing nuclear nonproliferation, maritime terrorism, and authoritarian economies.
Prof. Katherine Bode is a Professor of Literary and Textual Studies at the School of Literature, Languages & Linguistics, Australian National University (ANU). She leads research in computational literary studies, digital humanities, and Australian literary history. Her work bridges traditional literary scholarship with computational methods, focusing on digitized archives like 19th- and 20th-century newspapers. Education: PhD in English (University of Queensland, 2006); BA (Hons), PhD, Grad Cert in Education. Prior roles include ARC Postdoctoral Fellow at Sydney University and Lecturer at the University of Tasmania. She directed ANU’s Digital Humanities Hub (2011–2013) and has held ARC grants for projects on newspaper fiction and Irishness in Australian literature. From 2018–2023, she was an ARC Future Fellow exploring computing, reading, and writing in literary studies. Research Interests : Digital Humanities, computational methods for literary analysis, Australian literary history, book history, and publishing studies. Her work emphasizes data-rich approaches to cultural history and the ethical implications of AI in humanities research. Publications : Over 50 scholarly works, including books like A World of Fiction (2018) and Reading by Numbers (2012). Recent projects include analyzing global literary patterns in digitized newspapers and examining the intersection of AI with literary studies. Awards : Fellow of the Australian Academy of Humanities (2019); multiple ARC grants, including a 2023 Discovery Grant for Irishness in Australian literature. Grants & Projects : Currently leads projects like Close Relations: Irishness in Australian Literature (2023–2026) and Read all about it: Digital participation in Australian newspaper fiction (2021–2025). Prior grants include a 2020 Special Research Initiative on 20th-century newspapers. Labs/Teams : Associated with ANU’s Digital Humanities Hub and collaborates internationally on computational literary studies and AI ethics.
Dr. Paulo Santos is a Senior Lecturer at Flinders University's College of Science and Engineering, specializing in Artificial Intelligence with a focus on explainable AI systems. He holds a PhD from Imperial College London (2003) and has over 20 years of research experience in spatial reasoning, machine learning, and robotics. His work bridges knowledge representation with deep learning to enhance transparency in AI decision-making. Dr. Santos has led research groups in Brazil, collaborated internationally, and secured funding from organizations like the British Council and EU. His expertise spans robotics, computer vision, and cognitive science. Notable achievements include the British Computer Science Machine Intelligence Prize (2004) and the Santander Prize for Science and Innovation (2006). Research interests include reinforcement learning for autonomous underwater vehicles (AUVs), scene graph generation in computer vision, and spatial reasoning for multi-robot systems. Recent work emphasizes sim-to-real transfer learning and fault recovery in underwater robotics.
Professor Simon Lewis is a Consultant Neurologist and Professor of Cognitive Neuroscience at the University of Sydney's Brain and Mind Centre within the Faculty of Medicine and Health. He serves as Clinical Director of the Ageing Brain Clinic and Director of the Parkinson's Disease Research Clinic, while also heading the NSW Movement Disorders Brain Donor program. With over 200 peer-reviewed publications, 2 books, and 8 book chapters to his name, Professor Lewis has secured more than $10 million in research funding from prestigious sources including the NHMRC, ARC, and Michael J Fox Foundation. Professor Lewis's research primarily focuses on dementia and Parkinson's disease, with particular expertise in cognitive neuroscience, movement disorders, and REM sleep behavior disorder. His work spans from basic neuroimaging studies to clinical trials investigating novel interventions for neurodegenerative conditions. He has pioneered research on freezing of gait in Parkinson's disease, visual hallucinations in Lewy body disorders, and the relationship between circadian rhythms and neurodegeneration. His laboratory employs a multidisciplinary approach combining clinical assessment, neuroimaging (structural and functional MRI), neurophysiological measurements, and innovative computational methods to understand disease mechanisms. The trajectory of Professor Lewis's recent publications reveals a growing emphasis on biomarker discovery for early diagnosis and disease progression, with increasing integration of artificial intelligence and machine learning approaches to analyze complex movement and sleep data. His work increasingly bridges basic neuroscience with clinical applications, particularly in developing targeted interventions for non-motor symptoms of Parkinson's disease. The collaborative nature of his research is evident in the international authorship patterns across his publications. Among his notable accolades is the Leonard Cox Award (2014) from ANZAN recognizing his significant contributions to neuroscience as an early career neurologist. Professor Lewis serves on multiple editorial boards including Movement Disorders, Translational Neurodegeneration, and Journal of Neurology, Parkinson's and Related Disorders. He actively contributes to international committees such as the Movement Disorders Society Asian Oceanian Section Executive Committee and the International REM Sleep Behaviour Study Group. Professor Lewis leads the world-leading Parkinson's and Related Diseases Research Group at the Brain and Mind Centre, which attracts PhD students interested in understanding disease mechanisms, developing biomarkers, and creating novel treatment modalities for Lewy body-related diseases. His international collaborations span institutions in the Netherlands (Radboud UMC), United Kingdom (King's College London, Cambridge, Newcastle), and other global centers of excellence in Parkinson's research. His work exemplifies a translational approach from bench to bedside, with particular focus on improving quality of life for patients with neurodegenerative conditions.
Grant Hamilton is a Professor in Ecology at Queensland University of Technology (QUT), affiliated with the School of Biology & Environmental Science within the Faculty of Science. His research focuses on ecological analytics, conservation science, and the application of unmanned aerial systems (UAVs) for wildlife surveillance, invasive species management, and agricultural systems. He holds a Doctor of Philosophy from QUT and is a member of the Ecological Society of Australia and the Modelling and Simulation Society of Australia and New Zealand. Research interests include detection and surveillance technologies, spatial analytics, and the integration of artificial intelligence with ecological monitoring. Notable projects include the Yurol Ringtail State Forest Koala Baseline and Monitoring Project, Agri-Intelligence in Cotton Production Systems, and automated wildlife detection using drones. His work bridges ecological theory with practical applications in conservation, agriculture, and biosecurity. Publications span topics like UAV-based wildlife detection, statistical modelling for pest surveillance, and Bayesian networks for environmental management. He has advised multiple PhD and master’s students on projects related to pest invasions, agricultural systems, and biodiversity monitoring. Current grants include Australian Competitive Grants focusing on digital agriculture and cotton production systems.
Associate Professor Melrose Brown is a faculty member at UNSW Canberra, School of Engineering and Technology, where he leads numerical space situational awareness research and coordinates the Space Masters program. He holds advanced degrees in Aerospace Engineering and specializes in applying high-fidelity simulations to satellite-environment interactions in Low Earth Orbit (LEO). Research Focus: DSMC/PIC simulations for LEO satellites Orbit propagation and determination Ionospheric drag modeling Atmospheric physics Hypersonic CFD His recent publications analyze thermospheric responses to geomagnetic storms using GITM-OVATION models, ionospheric drag effects, and numerical tools like pdFOAM. Key keywords include Space Weather, Satellite Formation Control, and Computational Fluid Dynamics. He supervises Ph.D. projects related to aerospace engineering and offers scholarships for research in LEO dynamics. His work involves collaborations on CubeSat missions (e.g., M2) and space traffic management systems.
