جست‌وجوی استاد و پژوهشگر

• Composite Materials
• Additive Manufacturing
• Finite Element Analysis
• +۳ مورد دیگر

Joris J.C. Remmers is an Associate Professor of Composite Materials at the Department of Mechanical Engineering, Eindhoven University of Technology (TU/e). He is also affiliated with the EAISI High Tech Systems and leads the Mechanics of Materials research group. His academic journey includes a MSc in Aerospace Engineering (TU Delft, 1998) and a PhD in Computational Mechanics (TU Delft, 2006). Remmers' research focuses on composite materials and additive manufacturing, particularly the relationship between manufacturing processes, microstructure, and mechanical properties. He employs advanced numerical techniques to study multi-physics phenomena across scales. Research Themes: Composite materials and fiber-reinforced systems 3D printing and additive manufacturing processes Numerical methods (e.g., finite element analysis, model order reduction) Micromechanical modeling of material behavior Grants and Projects: Project Manager for Innovation test bed for development and production of nanomaterials for lightweight embedded electronics (2019–2023) Awards: Emerging DMD Based Systems and Applications Best Paper Award (2025) Teaching: Leads courses on advanced manufacturing, computational mechanics, and data-driven approaches in engineering, including Advanced and Additive Manufacturing and AI-assisted innovation in portable plasma technology . Labs/Teams: Active in the Mechanics of Materials group, collaborating on multi-scale mechanics, damage modeling, and material failure analysis.

• Offshore Renewable Energy
• Floating Offshore Wind Turbines
• Multi-purpose Offshore Structures
• +۴ مورد دیگر

Professor Maurizio Collu is a Professor in Offshore Renewable Energy Engineering at the Naval Architecture, Ocean and Marine Engineering Department of the University of Strathclyde, where he joined in August 2018. He serves as Chair of the ITTC Ocean Renewable Energy committee (2021-24) and is a member of the editorial boards for Ocean Engineering and Wind Energy Science journals. His research focuses on applied mechanics with specialization in multidisciplinary, coupled models of dynamics for offshore renewable energy systems. Professor Collu's work in the analysis and design of floating offshore wind turbines and multi-purpose offshore structures is recognized as excellent at the international level. He has directly managed approximately 4.5M£ of public research funding across projects totaling around 28.5M£, funded by major organizations including EPSRC, NERC, EU programs, and industry partners. Professor Collu leads significant research initiatives including the Ocean RE-Fuel project (2021-2026), a £10M EPSRC project focused on floating wind turbines producing hydrogen, and previously contributed to the EU H2020 "Blue Growth Farm" project. His research spans the development of advanced aero-hydro-servo-elastic coupled models of dynamics for innovative offshore wind turbine configurations and technical feasibility assessments of floating offshore wind turbine systems with integrated hydrogen production. His publication record demonstrates expertise in floating offshore wind turbine design, hydrodynamic analysis, and multi-purpose offshore platforms. Recent work focuses on spar floating wind turbine optimization, fatigue prediction frameworks, semisubmersible configurations, and integrated wind-hydrogen systems, showing a clear trajectory toward more complex, integrated offshore renewable energy solutions. Scientific Awards Calder Prize Recipient (2011) Professor Collu has supervised multiple research students and has worked closely with both public funding bodies and private sector companies ranging from startups to multinational energy corporations. His external engagements include serving as Guest Professor at Harbin Engineering University (2019-2024) and as an external examiner for ship science programs at the University of Southampton. His laboratory work involves developing advanced modeling frameworks for offshore renewable energy systems, with particular focus on floating wind turbine technology and multi-purpose offshore platforms that integrate renewable energy generation with other marine activities such as aquaculture.

Grace Li Zhangمشاهده پروفایل

استادیار

• Hardware-Software Co-design
• AI Accelerators
• Emerging Memory Technologies (RRAM, FeFET)
• +۳ مورد دیگر

Grace Li Zhang is an Assistant Professor (Tenure Track) in Hardware for Artificial Intelligence at TU Darmstadt since 2022. Previously, she served as Group Leader on Heterogeneous Computing at TU Munich (2018–2022) and earned her Dr.-Ing. in Electrical and Computer Engineering (summa cum laude) from TU Munich (2014–2018). Her research focuses on AI hardware-software co-design, including hardware accelerators for AI algorithms, neuromorphic computing, and emerging memory technologies like RRAM and FeFET. She explores circuit design methodologies, explainability of AI systems, and energy-efficient architectures. Recent work emphasizes leveraging large language models (LLMs) for automated hardware design, verification, and code generation. Her projects address challenges in optical neural networks, in-memory computing, and robustness against hardware non-idealities. Zhang’s contributions span 60+ peer-reviewed articles, with a strong focus on practical implementations for real-world applications. She leads the TU Darmstadt Hardware for AI group, collaborating with industry partners on next-generation computing systems. Her work bridges theoretical innovations with tangible hardware solutions, targeting efficiency, scalability, and security in AI infrastructure.

Sean Newsomمشاهده پروفایل

دانشیار

• Metabolic Physiology
• Insulin Resistance
• Type 2 Diabetes
• +۶ مورد دیگر

Sean Newsom is an Associate Professor at Oregon State University's College of Public Health and Human Sciences, Department of Exercise, Sport, and Health Sciences. He co-directs the Translational Metabolism Research Laboratory with Matt Robinson. His research focuses on metabolic physiology, insulin resistance, and type 2 diabetes, with particular emphasis on SGLT2 inhibitors and exercise interventions. Dr. Newsom earned his PhD in Kinesiology from the University of Michigan and completed postdoctoral training at the University of Colorado School of Medicine before joining Oregon State in 2015. Education: B.S. Kinesiology (Michigan State University), M.S. Health and Exercise Science (Colorado State University), PhD Kinesiology (University of Michigan). Research Interests: Dr. Newsom investigates the molecular mechanisms underlying insulin resistance, leveraging human clinical trials and model systems. His lab explores how SGLT2 inhibitors impact skeletal muscle metabolism and how acute exercise improves metabolic health in obese individuals. Key areas include mitochondrial function, lipid metabolism, and energetic stress pathways. Grants & Funding: His work has been supported by NIH R01 grants and the Collins Medical Trust. Notable studies include testing SGLT2 inhibitors' interaction with exercise and evaluating new treatments for prediabetes. Student Mentoring: Dr. Newsom has advised numerous students, including PhD candidates Erin McGowan and Phil Batterson, and undergraduates like Mike Murphy. His lab also includes research coordinators like Sarah Short. Labs & Collaborations: The Translational Metabolism Research Lab partners with Samaritan Health Services and uses advanced facilities like the Samaritan Athletic Medicine Center. Techniques include hyperinsulinemic-euglycemic clamps, mitochondrial respirometry, and lipidomics.

• Smart Cities
• Sustainable Urban Planning
• Solar Energy
• +۵ مورد دیگر

Gabriele Lobaccaro is a Professor at the Department of Civil and Environmental Engineering, NTNU, within the Faculty of Engineering. His primary focus is on sustainable urban development, renewable energy integration, and climate-resilient architectural design. He leads research in solar energy planning through initiatives like the IEA SHC Task 51 and COST Action PEARL PV. Education: MSc from Politecnico di Milano (2008), PhD in Structural Engineering (Politecnico di Milano/UNSW Sydney, 2013) Research interests include Smart Cities, urban solar potential analysis, and building-integrated photovoltaics (BIPV). Key projects involve the HELIOS-NFR FRIPRO program and collaborations with French institutions via the Åsgård Program. Publications emphasize solar irradiance modeling, urban energy systems, and legislative frameworks for solar neighborhoods. He co-leads Subtask C of the IEA SHC Task 51, focusing on case studies and action research. Awards: ISSNAF/CNI Scholarship for MIT collaboration, Åsgård Research+ Program (2019-2020)

Jakob Lykke Andersenمشاهده پروفایل

دانشیار

• Algorithms
• Graph Transformation
• Chemical Reaction Networks
• +۷ مورد دیگر

Jakob Lykke Andersen is an Associate Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), where he conducts research in algorithms with applications in cheminformatics and complex systems. He also holds a former external appointment as a Research Fellow at the Tokyo Institute of Technology (2015–2017). Research Interests: His work lies at the intersection of computer science and theoretical chemistry, focusing on algorithmic methods for analyzing chemical reaction networks. He employs hypergraphs, mixed-integer linear programming, and probabilistic models to study metabolic pathways, reaction databases, and prebiotic systems. His research emphasizes computational efficiency, formal modeling, and software implementation. Publication Trends: His recent publications (2019–2025) show a consistent focus on graph-based modeling of chemical systems, rule extraction from reaction databases, thermodynamic feasibility, and stochastic analysis. These works appear in high-impact journals in cheminformatics, bioinformatics, and complex systems, reflecting strong interdisciplinary collaboration. Scientific Contributions: While no specific awards are listed, his sustained research output and leadership in funded projects highlight significant contributions to algorithmic cheminformatics. Grants and Projects: He is actively involved in two major ongoing research projects: (1) Software Infrastructures for Teaching at Scale (funded by Innovation Fund Denmark, 2022–2025), and (2) DIREC (Danish Research Center for Digital Economy, 2020–2025), indicating active engagement in both educational technology and core computational research. Advising and Outreach: While no students are listed, he participates in academic advising through project supervision. He contributes to public discourse through media appearances on topics such as mathematics in health (e.g., intestinal system modeling in obesity) and educational well-being. Labs and Teams: He collaborates with interdisciplinary teams, including researchers from bioinformatics, chemistry, and computer science, particularly through projects involving Merkle, Flamm, Fagerberg, and Stadler. His work is associated with algorithmic cheminformatics and software framework development groups at SDU.

Xingyu Zhouمشاهده پروفایل

استادیار

• Machine Learning
• Bandits
• Reinforcement Learning
• +۴ مورد دیگر

Xingyu Zhou is an Assistant Professor in the Department of Electrical and Computer Engineering at Wayne State University. He earned his Ph.D. in ECE from Ohio State University under Prof. Ness Shroff, with prior degrees from BUPT (B.S.) and Tsinghua University (M.S.) in Electrical Engineering. His research bridges machine learning and stochastic systems, focusing on bandits, reinforcement learning, and cloud computing with differential privacy. His work addresses privacy-preserving sequential decision-making and optimal load balancing. Ph.D., Electrical and Computer Engineering, Ohio State University M.S., Electrical Engineering, Tsinghua University B.S., Electrical Engineering, BUPT His research explores machine learning (bandits, reinforcement learning, offline alignment techniques) and stochastic systems (load balancing, cloud computing). Recent work emphasizes differential privacy in federated learning, contextual bandits, and reinforcement learning frameworks. Publications span top venues like ICML , NeurIPS , and ICLR , with a focus on privacy-utility trade-offs and robust optimization. Key scientific awards include the NSF CAREER Award, Best Student Paper at WiOpt 2022, and Ohio State University’s Presidential Fellowship. He actively contributes to teaching , offering graduate courses in online decision-making and undergraduate programming courses in electrical engineering.

Nicole R. Dobsonمشاهده پروفایل

استاد بالینی

• Neonatology
• Premature Infant Neurodevelopment
• Intermittent Hypoxia
• +۳ مورد دیگر

Nicole R. Dobson, MD serves as Director of the Neonatal-Perinatal Medicine Fellowship Program at the Uniformed Services University of the Health Sciences (USUHS) School of Medicine, Department of Pediatrics. A board-certified neonatologist and U.S. Army Colonel, she maintains active clinical and research roles at the National Capital Consortium in Bethesda, MD, with primary responsibilities in neonatal critical care training and translational research. Education MD, Rutgers-Robert Wood Johnson Medical School (1996-2000; Class Valedictorian) BS, Molecular Biology, Lehigh University (1993-1996; Highest Honors) Fellowship, Neonatal-Perinatal Medicine, National Capital Consortium (2003-2006) Residency, General Pediatrics, Walter Reed Army Medical Center (2000-2003) Dr. Dobson's research centers on neuroprotective interventions for premature infants , with particular expertise in intermittent hypoxia mechanisms and caffeine pharmacotherapy optimization . Her work investigates how oxygen fluctuations impact white matter development and how caffeine therapy mitigates neural injury. Through military healthcare systems, she examines racial disparities in preterm outcomes and translational applications of pharmacokinetic principles to neonatal intensive care. Her research bridges bench-to-bedside innovation in high-risk infant populations. Analysis of her 15 most recent publications reveals dominant themes in neonatal respiratory pharmacology (78% of works), with concentrated focus on caffeine's role in apnea management and neuroprotection. Her NIH-funded ICAF trial represents the largest clinical investigation in this domain, while her salivary drug monitoring studies established novel non-invasive assessment methods. Temporal trends show increasing emphasis on health equity (2018 military healthcare disparity study) and translational biomarker development (2016 pharmacokinetic validation). Scientific Recognition A Proficiency Designator for Army Neonatology leadership (2016) Society for Pediatric Research election (2014) Ogden C. Bruton Award for best science paper (2012) Executive Board membership: American SIDS Institute & American Association of SIDS Prevention Physicians As Fellowship Program Director, Dr. Dobson mentors military-civilian trainees through the National Capital Consortium. Her $4.2M NIH-funded ICAF trial (R01HD089289) as Co-Investigator represents her largest grant, complemented by American SIDS Institute funding (2010-2016) and USUHS Office of Research support for white matter injury studies. Her deployed service as Medical Director at Craig Joint Theater Hospital (Afghanistan, 2009) informs her operational medicine perspective on neonatal care. Dr. Dobson leads the USUHS Neonatal-Perinatal Research Team within the Department of Pediatrics, collaborating with the National Institutes of Health and military treatment facilities across the National Capital Region. Her laboratory work focuses on murine models of white matter injury, while her clinical team implements evidence-based protocols for intermittent hypoxia management at Walter Reed National Military Medical Center.

Georg Hagerمشاهده پروفایل

پژوهشگر

• High Performance Computing
• Performance Engineering
• Computational Physics
• +۷ مورد دیگر

Dr. Georg Hager is Head of Research at the Erlangen National High Performance Computing Center (NHR@FAU), Friedrich-Alexander-Universität Erlangen-Nürnberg, and an associate lecturer at the Institute of Physics, University of Greifswald. His work focuses on performance engineering, node-level optimization, and analytic modeling in high performance computing. Research Interests: High Performance Computing (HPC) Performance Engineering and Modeling Architecture-Specific Optimization Energy Efficiency in Computing Scientific Code Optimization Execution-Cache-Memory (ECM) Model Development Computer Architecture for HPC His recent publications and tutorials emphasize performance modeling, node-level engineering, hybrid programming (MPI+OpenMP), and benchmarking on modern architectures such as Ice Lake, Sapphire Rapids, and A64FX. He has contributed to the development of the LIKWID tool suite and promotes best practices in HPC education. Scientific Awards: ISC Gauss Award (2018) Informatics Europe Curriculum Best Practices Award (2011) Georg Hager has been instrumental in developing and teaching international tutorials on performance engineering and hybrid programming, often in collaboration with HLRS Stuttgart and TU Wien. He is the co-author of the widely used textbook Introduction to High Performance Computing for Scientists and Engineers . His work bridges theoretical modeling and practical application, aiming to improve time-to-solution and resource efficiency in large-scale scientific computing.

• Aerial Robotics
• Unmanned Aerial Vehicles (UAVs)
• Remote Sensing
• +۱۲ مورد دیگر

João Pedro Matos-Carvalho is an Assistant Professor at Lusófona University in Lisbon, affiliated with the School of Engineering and the Department of Electrical and Computer Engineering. He is also an Integrated Member of the Center of Technology and Systems (CTS) at UNINOVA and COPELABS, Lusófona University, contributing to interdisciplinary research in robotics and intelligent systems. Ph.D. in Electrical and Computer Engineering, FCT NOVA (2021) M.Sc. (Hons.) in Electrical and Computer Engineering, FCT NOVA (2017) His research focuses on aerial robotics, machine learning, remote sensing, and sensor networks, with applications in UAV navigation, precision agriculture, environmental monitoring, and embedded AI. He has made significant contributions to GPS-denied navigation, multispectral imaging, and AI-driven signal processing. The recent publications reflect a strong trend in integrating deep learning with real-world engineering systems, particularly in UAV autonomy, IoT, and human-centric applications like fall detection and online learning analysis. His work spans algorithm design, software development, and practical deployment in complex environments. Best Paper Award at IEEE Conference (2018) Distinguished Paper Award by LASIGE at FCUL (2021) Best Poster Presentation Award at International Complex Systems and Their Applications Conference (2023) He has secured the competitive Scientific Employment Stimulus (CEEC) grant from FCT and has advised or collaborated on multiple research projects. He has guest-edited special issues in journals such as Drones and Frotiers in Computer Science , and serves as a reviewer for leading scientific journals. He leads the development of open-source tools like AutoNAV and Raster Forge, supporting simulation and geospatial analysis. He is actively involved in research teams at CTS-UNINOVA and COPELABS, focusing on intelligent systems, aerial robotics, and data fusion. His lab work emphasizes practical UAV platforms, sensor integration, and AI deployment in real-time systems.

Aaron Schwartzمشاهده پروفایل

استادیار

• Health Care Efficiency
• Health Care Quality
• Low-Value Care
• +۳ مورد دیگر

Aaron Schwartz is an Assistant Professor at the Perelman School of Medicine , affiliated with the Department of Medical Ethics and Health Policy and Department of Medicine at the University of Pennsylvania . He holds a MD from Harvard Medical School and a PhD in Health Policy (Economics) from Harvard Graduate School of Arts and Sciences. Education: MD (2017), PhD (2015) Residency: Internal Medicine (Primary Care Track) at Brigham and Women’s Hospital (2020) His research examines health care efficiency and quality improvement , focusing on low-value care in Medicare, hospital performance metrics , and insurer coverage rules . Recent studies quantify physician-level variation in low-value service provision and organizational impacts on care patterns. While observable physician characteristics (e.g., academic rank, publication history) explain minimal variation (≤1.4% within organizations), his work highlights the dominance of physician practice patterns in driving wasteful care. Sensitivity analyses confirm consistency across narrower service sets. Key findings: Physicians at 90th percentile within organizations provide 61% more low-value services than those at 10th percentile Panel size and pharmaceutical payments show significant associations with low-value care rates His work has been supported by National Institute on Aging grants (P01 AG032952, F30 AG044106-01A1), with methodological contributions to multilevel modeling of health care quality metrics.

Gabriel M. Ahlfeldtمشاهده پروفایل

استاد

• Econometrics
• Quantitative Spatial Economics
• Urban Economics
• +۶ مورد دیگر

Prof. Dr. Gabriel M. Ahlfeldt serves as Chair of Econometrics at Humboldt University's Faculty of Economics, leading the Institute for Statistics & Econometrics since March 2024. Previously, he was Professor of Urban Economics and Land Development at the London School of Economics. Currently on sabbatical at the University of Barcelona for the winter term 2024/25, Ahlfeldt maintains active research and teaching commitments at Humboldt University. His leadership extends to editing Regional Science and Urban Economics , positioning him at the forefront of spatial economic research. Professor Ahlfeldt's research centers on Quantitative Spatial Economics (QSE) , which integrates theoretical, empirical, and computational methods to model economies as interconnected locations. His work examines how commuting, migration, and trade link spatial economies in general equilibrium, accounting for interdependencies across land, labor, and goods markets. This approach has become essential for simulating policies affecting productivity, amenities, transport accessibility, trade integration, environmental quality, and labor market efficiency. His research regularly influences policy debates and receives coverage in national and international media. His publication portfolio demonstrates consistent focus on spatial economic modeling, with recent work including toolkits for quantitative spatial models, analyses of skyscraper economics, and micro-geographic property price indices. Ahlfeldt's research bridges academic rigor with practical policy applications, particularly in urban and regional contexts. His articles collectively emphasize computational methods for spatial analysis, causal identification in urban settings, and the economic implications of density and transportation infrastructure. As an educator, Ahlfeldt offers courses in Econometric Methods, Applied Econometrics, Time Series Analysis, and Quantitative Spatial Economics at both Master's and PhD levels. He co-organizes the Berlin School of Economics Quantitative Spatial Economics Research Seminar, fostering a vibrant research community in the Berlin metropolitan area. His teaching philosophy emphasizes enabling students to answer real-world questions using appropriate data and methods, with particular attention to coding and practical implementation skills. Professor Ahlfeldt actively engages with external partners including government agencies, non-profit organizations, and private sector entities, applying quantitative models to inform policy decisions. His expertise in causal inference allows for rigorous ex-post assessment of program effectiveness, while his spatial economic models provide valuable ex-ante policy simulation capabilities. The Chair of Econometrics under his leadership maintains strong connections with the broader academic community through initiatives like the Berlin Quantitative Spatial Economics Research Group.

• Electromagnetic fields with complex systems
• Neuromorphic computing
• Plasmonic resonators and materials
• +۷ مورد دیگر

Matthew Arnold is an Associate Professor in the School of Mathematical and Physical Sciences at the University of Technology Sydney (UTS), where he has been employed since 2007, progressing from Lecturer to Senior Lecturer and currently Associate Professor. His academic career includes postdoctoral research at the University of Canterbury and visiting positions at the Fraunhofer Institute Jena (2001) and University of Southampton (2008). Arnold holds a PhD and BSc(Hons) from the University of Otago, New Zealand. His leadership roles at UTS include serving as Physics Discipline Leader, BSc(Physics) Program Director, and currently as HDR director and RAO for the Faculty of Science. He is also active in professional organizations, having served as Chair of the NSW Australian Institute of Physics and as a senior member of both Optica and SPIE. Arnold's research focuses on the interaction of electromagnetic fields with complex systems, spanning from modeling and design to fabrication and characterization. His primary research areas include neuromorphic computing using percolating networks of nanoparticles, plasmonic resonators and materials, self-assembled metamaterials, and opto-thermal coatings for energy applications. His work bridges fundamental physics with practical applications in building technologies, solar energy, and next-generation computing architectures. His recent publications demonstrate a strong trend toward neuromorphic and brain-inspired computing systems, particularly exploring the computational capabilities of self-assembled nanoscale networks. These works investigate how the intrinsic physical properties of nanomaterials can be harnessed for energy-efficient information processing, with applications in random number generation, Boolean operations, and image classification. His research also maintains a strong focus on practical optical applications, including high-temperature polarizers and spectrally selective solar absorbers. AIP NSW Branch Service Award (2024) UTS MAPS: Individual Teaching Award (2023) STANSW Dedicated Service Award (2019) Arnold is deeply committed to mentoring the next generation of scientists, having successfully guided research students at all levels from internship to PhD. His teaching philosophy emphasizes engaging students in experiences that develop practical skills and deep insight, which has been recognized with teaching awards. He has secured significant research funding through ARC Linkage Infrastructure grants and numerous industry collaborations, particularly with building industry partners on glazing and facade performance. His current funded projects include advanced deposition systems for superconducting circuits and solar-thermal performance evaluations. Arnold leads research activities centered around experimental and computational investigations of nanoscale systems, with particular expertise in physical vapor deposition, optical characterization techniques, and computational modeling of complex electromagnetic systems. His work connects fundamental physics with real-world applications through strong industry partnerships and interdisciplinary collaborations across physics, materials science, and engineering disciplines.

Heng Xuمشاهده پروفایل

دانشیار

• Gene Regulatory Networks
• Embryonic Development
• Quantitative Biology
• +۳ مورد دیگر

Heng Xu is an Associate Professor at the Institute of Theoretical and Interdisciplinary Physics within the School of Physics and Astronomy at Shanghai Jiao Tong University . His work bridges physics and biology to study living systems through quantitative methods. Education: Bachelor's in Physics (2003), Nanjing University PhD in Physics (2010), Brown University Dr. Xu's research focuses on transcriptional regulation in Drosophila melanogaster embryos, combining high-resolution fluorescence imaging , quantitative analysis , and stochastic modeling . His publications span biophysics, neurophysiology, and imaging technologies. Scientific Awards: Burroughs Wellcome Fund Career Award at the Scientific Interface (2014) Thousand Talents Program for Young Professionals (2017) Dr. Xu's lab develops optical tools for biological applications and investigates gene regulatory networks . He has contributed to single-cell analysis techniques and neuronal activity studies in model organisms.

Warren Smithمشاهده پروفایل

دانشیار

• Naval Architecture
• Ship Design and Safety
• Engineering Design Education
• +۵ مورد دیگر

Associate Professor Warren Smith is a faculty member in the School of Engineering and Information Technology at the University of New South Wales (UNSW) Canberra campus. He serves as the Naval Architecture Coordinator and has held various leadership positions including Head of School from 2003-2009. With a background in naval architecture and operations research, Professor Smith has established himself as a leading educator and researcher in maritime engineering and design education. Professor Smith holds a PhD in Operations Research from the University of Houston, an MS in Mechanical Engineering from the same institution, and a BE in Naval Architecture with First Class Honours from UNSW Sydney. His extensive professional experience includes 20 years as a Naval Architect with the Australian Department of Defence (1978-1998), where he held various specialist engineering, research and managerial positions. Professor Smith's primary research interests span Naval Architecture, Ship Design and Safety, Engineering Design Education, and Complex Systems. He has pioneered authentic and immersive experiential learning approaches, particularly through student design competitions. His work in systems modeling, decision-based design, and optimization methods has contributed significantly to both naval architecture and engineering education fields. Professor Smith has developed innovative frameworks for ship design optimization, particularly for high-speed planing craft, and has explored the application of evolutionary algorithms to complex engineering problems. His recent scholarly output demonstrates a continued focus on naval architecture education, maritime engineering, and interdisciplinary applications of optimization techniques. Professor Smith has expanded his research into aircraft proximity systems and air traffic management, showing the transferability of his systems engineering approach across domains. His work consistently bridges theoretical advances with practical applications in both maritime and aerospace contexts. AGM Michell Medal, Mechanical College Board of Engineers Australia for outstanding service to mechanical engineering (2018) Australian Council of Engineering Deans National Award for Engineering Education Excellence Re-Engineering Australia Foundation Founder's Award for Outstanding Contributions to the F1inSchools Program (2017, 2013) Australian Society for Operations Research Conference Best Paper Award (2016) UNSW Canberra Community Engagement Award for Services to the F1inSchools Program (2013) UNSW Canberra Rector's Commendation for Excellence in Classroom Teaching (2010) ALTC Citation for Outstanding Contributions to Student Learning (2008) AAEE Citation for Outstanding Contributions to Student Learning (2008) Ship Shape 2000, Royal Institution of Naval Architects Walter Atkinson Prize (1993) Professor Smith has been instrumental in developing and leading numerous student design competitions that provide authentic learning experiences. He has served as Faculty Advisor for the Formula SAE Student Design & Build Competition (2003-2013 at UNSW Canberra, 2013-2014 at University of Oklahoma) and as National Coordinator for the Warman Design & Build Project & Competition (2002-2021). He currently chairs the Re-Engineering Australia National Rules Committee and serves as Chair of Judges for F1inSchools and Subs in Schools competitions. His educational leadership extends to mentoring first-year engineering students and researching the development of student teamwork competencies. Professor Smith leads the UNSW Canberra Warman Design and Build Project & Competition (1998-present) and is actively involved with the Re-Engineering Australia Foundation as ACT Hub Chair (2007-present). His work connects academic research with practical engineering challenges through student competitions that engage thousands of participants annually. These initiatives form an integrated ecosystem for engineering education that spans from primary school through to university level.