جست‌وجوی استاد و پژوهشگر

Fabian Gaesslerمشاهده پروفایل

استادیار

• Innovation Economics
• Economics of Science
• Empirical Industrial Organization
• +۸ مورد دیگر

Fabian Gaessler is an Assistant Professor at the Universitat Pompeu Fabra (Department of Economics and Business) and an Affiliated Research Fellow at the Max Planck Institute for Innovation and Competition since 2022. He also serves as an Affiliated Professor at the Barcelona School of Economics and previously held academic roles at IESE Business School (2019) and Technical University of Munich (2018–2019). Education: Doctoral Studies (2013–2015) at Max Planck Institute for Innovation and Competition Postgraduate Law and Economics (2010–2013) at International Max Planck Research School M.Sc. in Organization, Management and Governance (2009–2010) at London School of Economics Honors Degree in Technology Management (2008–2011) at Center for Digital Technology and Management, Munich B.Sc. in Business Administration (2005–2009) at LMU Munich and University of California, Santa Barbara Research Interests focus on innovation economics , patent policy , and AI applications in strategic decision-making . His work bridges empirical industrial organization and technology management , with key contributions on patent enforcement, data exclusivity, and human-AI collaboration in innovation. Key Article Trends include: Patent oppositions and follow-on innovation AI as a training tool in strategic environments Market exclusivity impacts on pharmaceutical R&D Physical capital shocks in scientific productivity Bifurcated patent litigation systems Scientific quality and patent value linkages Scientific Awards : 2017: Otto Hahn Medal of the Max Planck Society Advising and Grants : While direct student advisement is not explicitly listed, Gaessler has collaborated extensively with scholars like Dietmar Harhoff, Karin Hoisl, and Henning Piezunka. His research has been supported by institutions including the Max Planck Society, European Commission, and ZEW. Labs and Teams : Affiliated with the Innovation and Entrepreneurship Research group at Max Planck Institute for Innovation and Competition. His work involves cross-institutional collaborations with European patent litigation experts and biomedical research teams.

Rafael Poyatos Lópezمشاهده پروفایل

استاد مدعو

• Plant Physiology
• Forest Ecology
• Ecohydrology
• +۵ مورد دیگر

Rafael Poyatos López is an Adjunct Professor in Ecology at the Autonomous University of Barcelona (UAB) since 2018 and a Scientist at the Max Planck Institute for Biogeochemistry, where he holds a prestigious Humboldt Fellowship for Experienced Researchers since 2019. He has served as a junior Principal Investigator at CREAF (Centre de Recerca Ecològica i Aplicacions Forestals) since 2015, where he coordinates the groundbreaking SAPFLUXNET initiative, the first global database of tree water use derived from sap flow measurements. Dr. Poyatos earned his BSc in Environmental Sciences (2002) from the Autonomous University of Barcelona and his PhD in Biology (2006) from the Institute of Earth Sciences 'Jaume Almera' (ICTJA-CSIC) and University of Barcelona. His postdoctoral career includes research positions at Solfranc Tecnologías (2007-2008), Durham University, UK (2008-2009), and CREAF (2009-2015), complemented by research visits at the University of Edinburgh (2012) and Ghent University (2017). His research program focuses on plant functioning across multiple spatial and temporal scales, with particular emphasis on trees and forests in the context of global environmental change. Dr. Poyatos investigates plant water and carbon fluxes, examining the complex interactions between plant traits, whole-plant physiology, and ecosystem processes. His work bridges field measurements with theoretical frameworks to understand how trees respond to drought and other climate stressors. The SAPFLUXNET database he coordinates has become a critical resource for understanding global patterns of tree transpiration and drought vulnerability. Dr. Poyatos' recent publications reveal a strong focus on tree hydraulics, drought responses, and transpiration modeling, with several high-impact papers in top ecology journals. His research combines empirical measurements with theoretical modeling to address fundamental questions about plant water relations at multiple scales. Among his notable scientific achievements is the Humboldt Fellowship for Experienced Researchers, which supports his ongoing collaboration at the Max Planck Institute for Biogeochemistry in Jena, Germany. As an educator, Dr. Poyatos has contributed significantly to the academic community at UAB, teaching in the Master's program in Terrestrial Ecology and Biodiversity Management (2010-2013) and various undergraduate programs (2018-present), including courses in Genetics, Environmental Biology, and Biology. His teaching reflects his research expertise in plant physiology and ecosystem responses to environmental change. Dr. Poyatos leads the SAPFLUXNET initiative and is actively involved with research groups focusing on functional biogeography and ecosystem physiology in the context of global change. His work bridges empirical field research, ecological theory, and global-scale analyses to understand how trees and forests respond to changing environmental conditions, with particular relevance to climate change impacts on forest ecosystems worldwide.

Ben Matthewsمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Participatory Design
• Healthcare Technology
• +۵ مورد دیگر

Associate Professor Ben Matthews is affiliated with The University of Queensland (UQ), holding positions in the School of Electrical Engineering and Computer Science (Faculty of Engineering, Architecture and Information Technology) and as an Affiliate of the Centre for Communication and Social Change (Faculty of Humanities, Arts and Social Sciences). He leads research in design processes focusing on collaborative and participatory methodologies, with expertise in healthcare technology, educational tools, and community resilience. Education: BEng (Hons) and PhD from UQ. His research spans three core domains: designing advocacy for marginalized groups, participatory design materials, and augmenting professional expertise through technology. Key projects include designing for mental health stakeholders, wearable displays in healthcare, and bushfire resilience frameworks. Research Interests: Interaction design, participatory design, technology ethics, and human-centered innovation. His work emphasizes inclusive design processes that amplify user agency in technology development. Recent studies include VR analytics for mental health, energy use transparency, and emergency medical AR systems. Grants: Current funding includes ARC projects on AI-driven recruitment and trauma patient pathways. Past grants involve wearable tech for high-tempo work and passport processing research. Over 100 publications span journals like International Journal of Human-Computer Studies and conferences such as OzChi. Advising: Supervises PhD candidates on topics ranging from augmented reality in education to language learning applications. Collaborates with interdisciplinary teams across healthcare, education, and urban planning.

• Pay Transparency
• Compensation Systems
• Human Resource Management
• +۴ مورد دیگر

Ingrid Smithey Fulmer serves as Professor at the University of Illinois' School of Labor and Employment Relations while holding the strategic leadership position of Advisor for Strategic Initiatives in the Office of the Provost and Executive Vice Chancellor. Her dual appointment bridges academic research and institutional governance. Her research centers on pay transparency systems , compensation design , and human resource innovation , with fingerprint analysis revealing dominant focus areas including Pay Transparency (100%), Pay Communication (97%), Firm Performance (81%), and Pay-for-Performance systems (75%). Notable interdisciplinary connections include Breastfeeding Support research (75%) and Emotions in Social Sciences (54%). Analysis of her 45+ publications shows consistent leadership in compensation literature, with high-impact articles in Personnel Psychology and Annual Review of Organizational Psychology . Her work demonstrates strong real-world relevance through policy citations and significant Mendeley readership (450+ for key 2022 review). Highly cited 2023 Personnel Psychology article on compensation-performance linkage Featured 2022 review in flagship Annual Review journal Media coverage of alumni value capture theory (2024) Fulmer's strategic advisory role involves developing institutional initiatives that translate her research on transparency and performance systems into university-wide practice, with particular emphasis on innovative HR approaches like the skunk works methodology she pioneered for addressing complex organizational challenges.

Tijn Fleurenمشاهده پروفایل

پژوهشگر

• Operations Research
• Supply Chain Management
• Production-Inventory Planning
• +۷ مورد دیگر

Dr. Tijn Fleuren is a researcher and teacher at the Department of Econometrics and Operations Research within the Tilburg School of Economics and Management (TiSEM) at Tilburg University. His work focuses on optimizing production-inventory systems under uncertainty, with applications in high-tech, low-volume manufacturing supply chains. Institution: Tilburg University School: Tilburg School of Economics and Management Department: Department of Econometrics and Operations Research Email: T.W.A.Fleuren@tilburguniversity.edu ORCID: https://orcid.org/0000-0002-0925-6892 Office: Koopmans Building, Room K 423, Warandelaan 2, 5037 AB Tilburg, Netherlands His research lies at the intersection of operations research and supply chain management, with a strong emphasis on stochastic modeling, risk-aware decision-making, and integrated planning under uncertainty. Key themes include production-inventory optimization, customer portfolio selection, procurement planning, and dynamic supply chain configurations. His work often addresses real-world challenges in collaboration with industry leaders like ASML. The recent publications demonstrate a consistent focus on advanced optimization techniques applied to complex supply chain environments. These include multi-stage stochastic programming, conic quadratic programming heuristics, sampling-based methods, and deep reinforcement learning. The research spans both theoretical contributions—such as optimality conditions and bounds—and practical applicability, particularly in high-tech sectors with long lead times and customization requirements. Dr. Fleuren completed his doctoral studies at Tilburg University in January 2025, contributing significantly to the field through his dissertation on stochastic approaches in production-inventory planning. While no formal scientific awards are listed, his research outputs have been published in top-tier journals such as International Journal of Production Economics and Omega–International Journal of Management Science . He is actively involved in teaching courses such as Supply Chain Analytics and Introduction to Data Analysis. As a recent PhD graduate, he may be mentoring students informally, though no formal advisees are listed. His research has been supported through collaboration with industrial partners and academic grants, likely via CentER and the Operations Research Center at Tilburg University. Dr. Fleuren is affiliated with the Operations Research Center at TiSEM, where he contributes to a vibrant research environment focused on quantitative methods in economics and management. His ongoing work continues to advance methodologies for decision-making under uncertainty in complex, real-world supply chains.

Samuel Thibaultمشاهده پروفایل

استاد

• Parallel Computing
• High Performance Computing
• Task-Based Runtime Systems
• +۳ مورد دیگر

Samuel Thibault is a Professor at University of Bordeaux, affiliated with Laboratoire Bordelais de Recherche en Informatique (LaBRI) and Inria Bordeaux -- Sud-Ouest. He is a member of the SATANAS team at LaBRI (theme: High Performance Runtime Systems for Parallel Architectures) and the STORM research team at Inria Bordeaux (previously RunTime). His work bridges academic research and practical implementation of high-performance computing systems. Thibault's research focuses on task-based runtime systems, particularly StarPU, for heterogeneous and parallel computing architectures. His work addresses critical challenges in scheduling algorithms, memory management under constraints, data locality optimization, and performance modeling for complex NUMA architectures. He has made significant contributions to the field of parallel computing through the development and analysis of runtime systems that efficiently manage tasks across diverse hardware resources including CPUs, GPUs, and other accelerators. His research has practical applications in scientific computing, deep learning inference, and large-scale simulations requiring extreme computing power. His recent publication trends show a strong emphasis on optimizing task-based runtime systems for heterogeneous architectures with particular attention to memory constraints and data locality. There's a clear progression toward applying these techniques to deep learning inference workloads, as evidenced by his StarONNX project. His work consistently addresses the challenge of balancing throughput and latency in complex computing environments, with increasing focus on recursive task graphs and dynamic adaptation strategies. Thibault is actively involved in European research initiatives including TEXTAROSSA (focusing on exascale technologies) and EXA2PRO (high development productivity on heterogeneous systems). His work has been published consistently in top-tier conferences and journals in parallel and distributed computing. As part of the STORM team at Inria Bordeaux, Thibault contributes to advancing the state of the art in runtime systems for high-performance computing. His team's work on StarPU has become a reference implementation in the field, enabling researchers and practitioners to develop applications that can efficiently utilize heterogeneous computing resources without needing to manage the complexity of different hardware architectures directly.

• Sustainable Engineering
• Graphic Expression in Engineering
• Industrial Design
• +۵ مورد دیگر

María Elena Arce Fariña is a Professor in the Department of Industrial Engineering at the Escola Politécnica de Enxeñaría de Ferrol, Universidade da Coruña (UDC). Her academic profile demonstrates extensive involvement in both teaching and research activities within the field of engineering education and sustainable technologies. Her research interests span multiple domains including Sustainable Engineering, Graphic Expression in Engineering, Industrial Design, Energy Efficiency, Textile Technology, Building Energy Analysis, and Computer-Aided Design. These research areas are reflected in her diverse publication record and collaborative projects. Dr. Arce Fariña's recent scholarly output shows a strong focus on interdisciplinary research connecting engineering education with sustainability challenges. Her publications reveal consistent contributions to high-impact journals in materials science, energy, sensors, and engineering education, demonstrating her ability to bridge theoretical knowledge with practical applications in sustainable industrial design and energy efficiency. She actively supervises bachelor's and master's theses, with recent projects focusing on luminaire design, energy analysis of buildings, industrial component replication through reverse engineering, and sustainable textile product development. Her teaching portfolio includes courses such as Digital Design and Development of Textile Products (Master's Degree in Textile Technology and Sustainable Fashion), Graphic Expression (across multiple engineering degrees), and supervision of Final Degree Projects and Master's Theses in Industrial Engineering programs. Dr. Arce Fariña participates in numerous research projects funded by entities including the European Commission, Consejo de Seguridad Nuclear, Fundación Española para la Ciencia y la Tecnología, and regional Galician organizations, demonstrating her ability to secure competitive research funding and collaborate across institutional boundaries.

• Computer Architecture
• Programming Models
• Parallel Computing
• +۵ مورد دیگر

Marc Gonzalez Tallada is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Barcelona School of Informatics (FIB). He is a member of the MGT Research Group, focusing on Programming Models and high-performance computing systems. His research interests lie in the domain of computer architecture and programming models, with a strong emphasis on parallel and distributed computing, performance optimization, and system-level software. His work contributes to the design and implementation of efficient programming models that exploit modern parallel architectures. The recent publications (2010–2024) reflect a consistent focus on programming models, particularly in the context of high-performance computing. Key themes include task-based programming, runtime systems, compiler optimization, memory management, and performance analysis. The research spans computer architecture, system software, and compiler design, demonstrating a multidisciplinary approach to solving challenges in parallel computing. Scientific Awards and Recognitions: Premi o reconeixement Advising and Grants: While specific student names are not listed, his involvement in competitive R&D+i projects indicates active participation in funded research. These projects suggest leadership or collaboration in grant-supported initiatives related to programming models and computer systems. His role in innovation and research projects highlights contributions to both academic and applied domains. Labs and Research Teams: He is a core member of the MGT (Programming Models) research group at UPC, which focuses on advancing the state-of-the-art in programming models for parallel and distributed systems.

Gerald Steinerمشاهده پروفایل

استاد

• Systemic Management
• Sustainability Management
• Complexity Science
• +۱۴ مورد دیگر

Gerald Steiner is a full professor of organizational communication and innovation, dean of the Faculty of Business and Globalization, and chair of the Department for Knowledge and Communication Management at Danube University Krems in Austria. He is also a member of the Associate Faculty at the Complexity Science Hub Vienna since 2018, reflecting his deep engagement with systems and complexity science. His academic journey includes a PhD in management studies and social sciences from the University of Graz and a BSc in mechanical engineering, with training at UC Berkeley, UCLA, and the University of Oklahoma. His education includes: PhD in Management Studies and Social Sciences (Organizational and Innovation Management), University of Graz Bachelor of Science in Mechanical Engineering, Austria Training at UC Berkeley, UCLA, and University of Oklahoma at Norman Gerald Steiner's research is rooted in systemic and sustainability management, guided by a complexity science framework. His work explores sustainability-oriented innovation systems, knowledge integration, transdisciplinarity, and stakeholder collaboration. He investigates competences for solving complex problems and sustainable entrepreneurship, with recent focus on sustainable resource management, particularly the phosphorus supply chain and phosphate rock mining. His research emphasizes collaborative, science-practice co-creation and digital transformation in innovation systems. The recent publications reflect a strong interdisciplinary trend, bridging sustainability science, public health, mineral economics, and digital entrepreneurship. Articles frequently address systemic challenges during crises (e.g., COVID-19), transdisciplinary modeling, and resource security. Keywords span environmental science, behavioral science, policy, and systems thinking, indicating a holistic, integrative research approach. Scientific awards are not explicitly listed in the provided text. Gerald Steiner actively mentors students and early-career researchers, as evidenced by co-authorships with individuals such as L. Satalkina, L. Zenk, and J. Weitzer. He co-directs the PhD program in migration studies, indicating leadership in graduate education. While specific grants are not mentioned, his involvement in transdisciplinary labs and high-impact publications suggests successful funding acquisition. His work often involves international collaboration, especially with institutions in the D-A-CH region and the United States. He has co-founded four transdisciplinary labs at Danube University Krems: the Transdisciplinarity Laboratory Sustainable Digital Environments, the Transdisciplinary Laboratory for Sustainable Mineral Resources, GovLab Austria, and the Biodiversity Hub. These labs serve as platforms for integrating science, policy, and practice in sustainability transitions.

• Engineering Informatics
• Digital Manufacturing
• Intelligent Manufacturing
• +۱۵ مورد دیگر

Professor Ying Liu is a Professor and Chair in Intelligent Manufacturing at the School of Engineering, Cardiff University, UK, a position he has held since August 2021. He leads the High-value Manufacturing research group within the Department of Mechanical Engineering. Prior to this, he served as an Assistant Professor at the National University of Singapore (2010–2013) and the Hong Kong Polytechnic University (2006–2010). PhD, Innovation in Manufacturing Systems and Technology (IMST), Singapore-MIT Alliance (SMA), National University of Singapore (2006) MSc, Singapore-MIT Alliance (SMA), Nanyang Technological University (NTU) MEng & BEng, Mechanical Engineering, Chongqing University, China His research spans engineering informatics, digital and intelligent manufacturing, AI and machine learning in engineering design, and advanced ICT in manufacturing. He has published over 160 scholarly articles and contributed to major journals and conferences in the field. His recent work focuses on knowledge graphs, digital twins, human-robot collaboration, and energy modeling in smart manufacturing, often integrating large language models and advanced deep learning techniques. The most recent publications highlight a strong trend toward integrating AI, particularly large language models and knowledge graphs, into smart manufacturing systems. Themes include predictive maintenance, battery state estimation, human fatigue modeling, and sustainable manufacturing. His work increasingly emphasizes human-centric approaches aligned with Industry 5.0 principles. Best Paper Award 2022, CCF Transactions on Pervasive Computing and Interaction ESI Highly Cited Paper and Hot Paper, Research and Application of Machine Learning for Additive Manufacturing 2020 Reviewer of the Year, ASME Journal of Computing and Information Science in Engineering (JCISE) Professor Liu actively supervises postgraduate students and has advised several successful PhD candidates, including Dr. Chong Chen and Mr. Zhouyang Ding. His research is funded by major agencies such as EPSRC (UK), GRF (Hong Kong), MOE (Singapore), A*STAR, and NSF (China), as well as industrial partners. He serves as Associate Editor for ASME JCISE, IEEE T-ASE, and several other journals, and was recently appointed Senior Editor of the Journal of Engineering Design. He also leads special issues and topical collections on AI in engineering. He leads the High-value Manufacturing research group at Cardiff University, focusing on digital transformation in manufacturing. His team works on projects involving digital twins, knowledge graphs, and AI-driven design innovation, often in collaboration with international institutions.

Salvatore Russoمشاهده پروفایل

دانشیار

• Business Economics
• Healthcare Management
• Public Administration
• +۴ مورد دیگر

Salvatore Russo is an Associate Professor of Business Economics at Ca' Foscari University of Venice, affiliated with the Department of Management within the Venice School of Management. He holds a PhD in Business Economics from Ca' Foscari (2001) and has extensive postdoctoral research experience in France and Belgium. His research focuses on public and nonprofit organizations, particularly in healthcare management, performance measurement, and public value theory. His teaching spans courses in public administration economics, healthcare management, and cultural institution economics across undergraduate and graduate programs. Notable research projects include developing performance measurement tools for Veneto Region healthcare authorities and analyzing Public-Private Partnerships in healthcare systems. He coordinates the Master's in Healthcare Economics and Management and has been involved in over 20 national/international research projects. Russo serves on editorial boards for journals like MECOSAN and participates in high-level conferences globally. His work emphasizes accountability mechanisms in public services and innovative management practices in cultural and healthcare sectors. He has advised numerous public institutions and authored/co-authored impactful papers on topics like participatory budgeting and healthcare technology assessment.

• Agent-Based Modeling
• Social Simulation
• Computational Ethics
• +۱۰ مورد دیگر

Nuno David is an Associate Professor at ISCTE - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology within the School of Technologies and Architecture. He is also an Integrated Researcher at DINÂMIA'CET-Iscte, focusing on socioeconomic change and territory. He serves as the Data Protection Officer at Iscte and chairs the Ethics Committee of the School of Technologies and Architecture, while also being a member of the university-wide Ethics Council. PhD in Computing, Faculty of Sciences, University of Lisbon (2005) Master's degree in Agent-Based Social Simulation, University of Lisbon Undergraduate degree in Electrical Engineering – Computer Science, University of Coimbra His research spans agent-based modeling , social simulation , computational ethics , privacy , and the philosophy of computer science , with a focus on the epistemology of computational social science. He investigates how computational methods influence social science theories and methodologies. His recent publications highlight a consistent focus on ethical dimensions of simulation, disaster response modeling (e.g., tsunami evacuation), and digital governance. Articles frequently appear in high-impact journals such as Journal of Artificial Societies and Social Simulation , AI & Society , and Geosciences , reflecting interdisciplinary engagement across computer science, social sciences, and ethics. Member, Ethics Committee, ISCTE (2020–2026) Data Protection Officer, ISCTE (since 2018) Coordinator, multiple ethics and cybersecurity courses in Master’s and Bachelor’s programs Nuno David leads and participates in significant research initiatives, including the Research Data Management Center for SSH (RDMC-SSH) and the Re.Data network , both focused on research data infrastructure. He is also involved in the EU-funded ManagiDiTH master’s program, aimed at digital transformation in healthcare. His work integrates academic research with practical policy and institutional governance, particularly in data protection and research ethics. He has contributed to multiple projects on e-government in developing contexts, especially in Mozambique, and has developed tools for analyzing academic collaboration networks. His teaching includes courses on simulation, programming, and professional ethics in computing.

• Information Systems
• Big Data
• Cloud Computing
• +۱۲ مورد دیگر

Norman H. White is a Clinical Professor in the Department of Information, Operations, and Management Sciences at the Leonard N. Stern School of Business, New York University. He has been a faculty member since 1973 and currently serves as the Faculty Director of the Stern Center for Research Computing, where he supports advanced computational research across the school. His research spans big data, cloud computing, distributed computing, data science, decision support systems, and mobile applications . He has published in areas including data mining, computer networking, and simulation. His work bridges technology and business applications, particularly in marketing and financial engineering. Professor White holds a Ph.D. in Economics and Statistics from NYU Stern (1974) and a B.A. in Engineering and Applied Physics from Harvard University (1966). He previously served as Deputy Chair of the Information Systems Department and Acting Chief Technology Officer of the Stern School. He has been actively involved in university-wide computing initiatives and has consulted for major organizations including Anheuser-Busch, Kraft, Toyota, Ford, Goldman Sachs, and the U.S. State Department. The Stern Center for Research Computing, under his leadership, provides a high-performance computing grid, private cloud infrastructure, and Hadoop-based big data clusters to support research. He teaches courses such as Dealing with Data , Designing and Developing Web and Mobile Apps , and Computational Approaches to Financial Engineering .

• Sports Analytics
• Biomechanics
• Sleep Science
• +۴ مورد دیگر

Minh Huynh is a Senior Lecturer in the Department of Econometrics & Business Statistics within the Faculty of Business and Economics at Monash University. His work bridges statistical methodology with practical applications in sports science, biomechanics, and health research. Position: Senior Lecturer Institution: Monash University Department: Econometrics & Business Statistics School: Faculty of Business and Economics Dr. Huynh's research focuses on the application of statistical models to real-world problems in sports performance and human health. His primary interests include sports analytics, biomechanics of cricket and football, sleep science, and the impact of lifestyle factors on athletic recovery. He employs advanced quantitative methods to analyze player performance, injury risk, and recovery strategies. His recent publications reveal a strong trend toward interdisciplinary research, particularly in validating new technologies (such as AI-based speed tracking), meta-analyses on sleep and alcohol, and biomechanical assessments in cricket. The articles span high-impact journals in sports science and medicine, indicating a rigorous, peer-reviewed research trajectory with practical implications for coaching and athlete management. While no specific scientific awards are listed in the provided text, his work has been widely disseminated, appearing in 45 research outputs with significant media and academic attention, including coverage by over 100 news outlets and engagement on social platforms. Dr. Huynh collaborates extensively with researchers in sports science and medicine, suggesting active involvement in research teams and potential supervision of students, though no advisees are explicitly named. His research likely involves data-driven projects in sports performance labs or collaborative health studies. He has not indicated any part-time status, retirement, or former staff designation, and remains an active academic contributor.

Wendy Brownمشاهده پروفایل

استاد

• Bariatric Surgery
• Upper Gastrointestinal Surgery
• Obesity and Metabolic Disorders
• +۱۲ مورد دیگر

Professor Wendy Brown is a leading academic surgeon at Monash University, serving as Professor and Chair of the Department of Surgery within the Faculty of Medicine, Nursing and Health Sciences. She is based at The Alfred Hospital in Melbourne, where she holds multiple leadership roles, including Director of the Oesophago-Gastric-Bariatric Unit, Program Director of Surgical Services at Alfred Health, Clinical Director of the Australia and New Zealand Bariatric Surgery Registry, and Clinical Lead of the Victorian Upper GI Cancer Registry. Her educational background includes an MBBS (Hons), PhD from Monash University, and fellowships FRACS and FACS. She has held numerous national and international leadership positions in surgical societies and guideline development bodies. Professor Brown’s research is centered on bariatric and upper gastrointestinal surgery, with a focus on improving patient outcomes, understanding the physiology of weight loss, and advancing surgical techniques. Her work spans clinical trials, registry development, robotic surgery, and health policy. She has published extensively in high-impact journals and leads multiple funded research projects. Her recent scholarly output shows a strong trend in patient-centered outcomes, surgical innovation (especially robotic systems), cancer survival analysis, and national registry development. Her work increasingly integrates real-time patient-reported outcomes and digital health tools to enhance clinical care quality. Fellow of the Royal Australasian College of Surgeons (FRACS) Fellow of the American College of Surgeons (FACS) Past President, Obesity Surgery Society of Australia and New Zealand Past President, Australia & New Zealand Gastro Oesophageal Surgery Association Member, Lancet Commissioners Report on Obesity (2022–2023) Contributor, NHMRC Obesity Management Guidelines (2023) Professor Brown has advised and collaborated with numerous researchers and surgical teams. She has led major research grants, including the Bi-national Bariatric Surgery Registry and projects funded by Johnson & Johnson and the Australian Department of Health. She is a Primary Chief Investigator on multiple active national studies focused on perioperative care, robotic surgery, and cancer outcomes. She has served on assessment teams for the Australian Medical Council and the Royal Australasian College of Surgeons, contributing to surgical education and accreditation. She leads the Centre for Obesity Research and Education and is deeply involved in national policy through roles on the Victorian Perioperative Consultative Council, Medicare Review Advisory Committee, and Safer Care Victoria working groups. Her leadership extends to global initiatives, including the Global Registry Committee and the International Federation for the Surgery of Obesity and Metabolic Disorders.