جست‌وجوی استاد و پژوهشگر

Amy Barronمشاهده پروفایل

مدرس

• Ageing and Life-Course
• Urban Inequality
• Place-Making
• +۲ مورد دیگر

Dr. Amy Barron is a Lecturer in Social and Cultural Geography at the University of Manchester, specializing in urban ageing, place-making, and creative methodologies. She holds a PhD, MSc, and BA from the University of Manchester. Her research examines urban inequalities through age, place, and sensory ethnography, emphasizing participatory approaches to challenge homogenizing narratives of ageing. Research interests include: Age/ageing as non-linear socio-cultural phenomena Urban difference and inequality through embodied encounters Place-making through interwoven temporalities and memories Creative methodologies as transformative knowledge practices Her publications focus on innovative qualitative methods in human geography, particularly participatory frameworks for inclusive policy development. Awarded for academic excellence including Outstanding Achievement Awards (2015,2016) and Best Dissertation Prize (2015). Supervises PhD candidates on urban sustainability and death studies. Leads exhibitions for Manchester's Age-Friendly Cities initiative and contributes to UN Decade of Healthy Ageing resources.

• Artificial Intelligence
• Economics
• Psychology
• +۵ مورد دیگر

Dr. Michael Harre is a Senior Lecturer at the University of Sydney with appointments in the Modelling and Simulation Group and Centre for AI Trust and Governance . His work bridges artificial intelligence , economics , and psychology to model collective human behavior and develop socially aware AI systems. PhD in economic game theory (University of Sydney, 2009) MSc (First Class Honours, University of Auckland) Research focuses on socially adaptive AI , economic game theory , and criticality in complex systems . Key projects include modeling financial market crashes, simulating herding behavior in housing markets, and exploring the intersection of AI with social psychology and economics. Recent publications address topological analysis of economic games , criticality detection in time-series data , and inverse reinforcement learning for Theory of Mind in AI. Grants include ARC Discovery Projects and US Air Force AOARD funding for interdisciplinary research. Supervises PhD students: Cathie DRYSDALE and Patrick SWEENEY Develops curricula for complex systems education Media engagements cover AI ethics , housing market risks , and social network dynamics in mental health.

Suihong Songمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Geosciences
• Reservoir Engineering
• +۳ مورد دیگر

Suihong Song is a Research Fellow at Stanford University's Energy Resources Engineering department, affiliated with the Stanford Center for Earth Resources Forecast (SCERF). He collaborates closely with Professor Tapan Mukerji, focusing on integrating machine learning with geosciences. His work emphasizes reservoir characterization, geomodelling using generative adversarial networks (GANs), physics-informed neural networks (PINNs), and applications in subsurface flow simulations, CO2 storage, and hydrocarbon exploration. Education includes a Ph.D. from China University of Petroleum (2021), a visiting Ph.D. at Stanford (2020), and earlier degrees from China University of Petroleum-Beijing (B.Eng. 2013, M.Eng. 2017). His research bridges computational methods with geoscience challenges, notably through the GANSim framework, widely adopted by companies like ExxonMobil. Key research areas include machine learning-driven reservoir modeling, porous media flow simulations, decision-making under uncertainty, and geological interpretation of well logs and seismic data. His publications highlight advancements in stochastic modeling, neural operator applications, and interdisciplinary approaches between geophysics and geology. Contact: suihong@stanford.edu .

Youness Dehbiمشاهده پروفایل

استاد

• Geoinformatics
• 3D City Modeling
• Remote Sensing
• +۷ مورد دیگر

Prof. Dr.-Ing. Youness Dehbi is a Professor for Computational Methods at HafenCity University Hamburg. His academic career includes roles as a postdoctoral researcher and scientific assistant at the University of Bonn's Institute of Geodesy and Geoinformation. He holds a Ph.D. in Computer Science from the University of Bonn (2016). His research focuses on geoinformatics, 3D city modeling, remote sensing, and applications in urban planning and disaster management. He has led projects such as VisioChick (enhancing animal welfare via mixed reality) and FPOplus (5G-based passenger flow management). Education: Ph.D. in Computer Science, University of Bonn (2016) M.Sc. and B.Sc. in Computer Science and Communication Research, University of Bonn (2008) Research Interests: Prof. Dehbi specializes in computational methods for spatial data analysis, including laser scanning, UAV missions, and semantic segmentation of historical maps. He explores applications in BIM, flood risk communication, and smart city technologies. His work bridges geoinformatics with urban sustainability and mixed reality. Awards: Best Paper Awards at multiple international conferences (2018–2024) Best Reviewer Award, ISPRS Congress (2021) Advising & Projects: He advises projects like NGCN (Next Generation City Networking) and collaborates with institutions like TU München and the University of Osnabrück. His team includes researchers like Dr. Son H. Nguyen and M.Sc. Lukas Arzoumanidis. Lab & Teams: His Computational Methods Lab at HCU develops tools for 3D city modeling and spatial data analysis, contributing to open-source geospatial software and collaboration with industry partners.

Xiang Zhangمشاهده پروفایل

مدرس ارشد

• Transformer Thermal Behavior
• Computational Fluid Dynamics (CFD) in Power Equipment
• Electrical Insulation Systems
• +۳ مورد دیگر

Dr. Xiang Zhang is a Senior Lecturer in Electrical and Electronic Engineering at Manchester Metropolitan University. He earned his PhD (2014-2017) and MSc (2012-2014) in Electrical Engineering from The University of Manchester and Xi’an Jiaotong University respectively, with a BSc (2008-2012) in Electrical Engineering and Automation from Xi’an Jiaotong University. As Fellow of the UK Higher Education Academy (FHEA), he specializes in power transformer thermal behavior, cooling systems, and dielectric material analysis. PhD Research: Transformer thermal modeling and cooling optimization Current Role: Focuses on transformer thermal dynamics and CFD simulations Languages: Chinese, English His research integrates computational fluid dynamics (CFD), thermal analysis, and electrical insulation studies. Recent work explores oil flow distribution, alternative cooling liquids, and thermal capacity estimation under variable loads. He actively participates in international conferences and received multiple awards for academic excellence, including best paper recognitions at CIGRE and CMD. Notable trends in his publications include: transformer thermal behavior analysis (10+ articles), cooling mode comparisons (2017-2020), CFD validation through experiments (2016-2018), and coolant type investigations (2016-2019). His work addresses critical challenges in power equipment reliability and efficiency. Scientific Awards Exceptional Performance Award (2020) Best Oral Presentation (IDCOMPU 2019) Best Paper Award (CIGRE 2018) Excellent Student Paper Award (CMD 2016) PhD Research Full Scholarship Honourable Mention (MCM 2011) Dr. Zhang serves as Secretary of CIGRE A2.60 Working Group (2020-present) and maintains active research through collaborations with industry partners. His work combines experimental validation with numerical modeling to enhance transformer performance and longevity in diverse operational conditions.

Noomane Ben Khalifaمشاهده پروفایل

استاد

• Sustainable Manufacturing
• Metal Forming Technologies
• Additive Manufacturing
• +۴ مورد دیگر

Prof. Dr.-Ing. Noomane Ben Khalifa is a Professor of Manufacturing – Innovative Manufacturing and Head of the Institute for Production Technology and Systems (IPTS) at Leuphana University. He concurrently leads the Institute for Material and Process Design at Helmholtz Center Hereon. His work focuses on sustainable manufacturing processes, particularly extrusion, sheet metal forming, and additive manufacturing, emphasizing eco-friendly production across material value chains. Education: Awarded a Doctorate in Engineering from TU Dortmund University (2012) with distinction for research on helical profile extrusion. Holds a Mechanical Engineering degree from TU Dortmund (2005), specializing in production engineering and forming technology. Research Interests: Sustainable manufacturing processes; material recycling (e.g., aluminum chips); lightweight material development; composite extrusion; die design optimization; and process simulation. His work bridges advanced manufacturing with environmental impact reduction, leveraging AI and machine learning for material-property modeling. Key Article Trends: Recent studies emphasize machine learning applications in materials science, die design for magnesium alloys, and sustainable recycling processes. His work spans from fundamental material behavior analysis to industrial process optimization. 2025: Focus on AI-driven texture-property modeling in Mg alloys and dieless wire drawing improvements 2024: LCA of aluminum recycling and deep-drawing process reliability Awards: 2009 ISPF Award for extrusion research; 2014 ZukunftErfindenNRW for innovative extrusion press design; invited keynote speaker at ICIT & MPT 2014. Advising & Grants: Oversees OPTUM-MAGNA (magnesium nanocomposites), FERNAPRO (sustainable manufacturing tech), and projects like TrICo (innovation cooperation). Collaborates with industry on tool design and eco-processes. Labs & Teams: Leads IPTS and co-leads Helmholtz material design institute. Supervises interdisciplinary teams focusing on compound casting, incremental forming, and smart manufacturing systems.

Tobias Preußerمشاهده پروفایل

استاد

• Mathematical Modelling
• Partial Differential Equations
• Bio-Medical Process Simulation
• +۷ مورد دیگر

Prof. Dr. Tobias Preußer is a Professor of Mathematical Modelling of Medical Processes at the School of Computer Science and Engineering, Constructor University Bremen gGmbH. His research focuses on mathematical modeling in biomedical processes, numerical analysis, image processing, and scientific visualization. He holds a PhD in Mathematics from the University of Duisburg-Essen (2001-2003), a Diploma in Mathematics from the University of Bonn (1994-1999), and completed an exchange semester in applied mathematics at New York University. His academic roles include Deputy Institute Director and Head of Modeling and Simulation at Fraunhofer MEVIS, General Manager at TechsoMed GmbH, and Visiting Assistant Professor at the University of Bremen. His work emphasizes interdisciplinary collaboration, particularly in systems biology and medical imaging applications. Key research interests include partial differential equations, bio-medical process simulation, anisotropic diffusion techniques, and multiscale methods. He has contributed to advancements in radiofrequency ablation modeling, liver pharmacokinetics simulations, and uncertainty quantification in medical visualization. His publications span computational biology, medical physics, and visualization techniques, with notable contributions to virtual liver modeling and stochastic collocation methods for optimal control problems. He has led collaborative projects involving academic and industrial partners, advancing both theoretical and applied aspects of mathematical modeling in healthcare.

Norbert Jungمشاهده پروفایل

استاد

• Cybersecurity
• Embedded Systems
• Biometrics
• +۴ مورد دیگر

Prof. Dr. Norbert Jung is a Professor of Secure Embedded Systems at the Bonn-Rhein-Sieg University of Applied Sciences (Department of Computer Science), where he also served as Founding Director of the Institute for Security Research (2011–2024). He is a core member of the NRW Promotionskolleg for Applied Research and leads the Biometrics Evaluation Center (BEZ) at the university’s Sankt Augustin campus. His expertise spans cybersecurity, embedded systems, and optoelectronic sensor technology, with a focus on biometric security, real-time signal processing, and safety-critical machine systems. Prof. Jung holds a Diplom-Ingenieur in Communications Engineering from RWTH Aachen University, where he also earned his Dr.-Ing. in optoelectronics and signal processing. His career includes R&D roles at Philips Electronics in medical imaging systems. Since 1999, he has led numerous national and industrial projects, including Biolab II (biometric system evaluation), ROSE3D (robust 3D camera systems), and SMOOTH (safety switches for industrial machinery). His work addresses challenges in anti-spoofing biometrics, industrial robot safety, and sensor-based material classification. Key research themes include: Biometric system resilience against presentation attacks Safety-critical embedded systems for manufacturing Near-infrared (NIR) and multispectral imaging for skin detection Optoelectronic sensor innovation for industrial and medical applications He has spearheaded projects such as the BEZ center, which evaluates biometric systems for government and industry. His lab infrastructure includes optoelectronics and laser labs (H008/H010) and collaborates with the German Federal Office for Information Security (BSI). Prof. Jung is also the laser safety officer for his department.

Osman T. Aydasمشاهده پروفایل

دانشیار

• Healthcare Operations Management
• Health Policy
• Service Operations
• +۵ مورد دیگر

Osman T. Aydas is an Associate Professor in the Decision & Information Sciences department at Oakland University's School of Business Administration, specializing in healthcare operations and supply chain management within the Production Operations Management field. Education: Ph.D. in Management Science, University of Wisconsin–Milwaukee Master's in Economics Bachelor's in Industrial Engineering His research centers on healthcare operations management, focusing on health policy, decision-making systems, and service optimization through mixed-integer programming, stochastic optimization, and simulation techniques. His doctoral work addressed strategic nurse allocation in intensive care units under dynamic patient demand, establishing foundational work for his current research in patient flow systems and resource allocation. Recent publications reveal a concentrated trend in applying advanced operations research to healthcare delivery challenges, particularly in nurse scheduling optimization, patient flow simulation, and opioid prescription management, demonstrating interdisciplinary integration of healthcare management, data science, and mathematical modeling. Scientific Awards: Faculty Research Fellowship, University Research Committee (2022, 2020, 2017) Faculty Research Fellowship, SBA Research Advisory Committee (2022, 2020, 2019) Roger L. Fitzsimonds Doctoral Scholarship (2016, 2015) Supported by multiple institutional research fellowships, Dr. Aydas has developed significant scholarly output in healthcare operations despite no listed formal advisees. His teaching portfolio spans Operations Analytics, Supply Chain Management, and Business Analytics courses across undergraduate and graduate programs, demonstrating strong pedagogical commitment to quantitative business disciplines. While no dedicated research laboratory is documented, his collaborative work with healthcare systems and operational research teams indicates active engagement in applied healthcare optimization projects.

Sean Looneyمشاهده پروفایل

مدرس

• Regulation of Online Terrorist Content
• Bulk Surveillance
• Human Rights Compliance
• +۳ مورد دیگر

Sean Looney is a Lecturer in Criminology at the University of Plymouth, affiliated with the School of Society and Culture. His research focuses on the regulation of online terrorist and violent extremist content, the impact of bulk surveillance on human rights, and the legal frameworks governing digital spaces. He holds a PhD from Swansea University and is a member of the VOX-Pol research network. He previously contributed to the GIFCT Positive Interventions and Strategic Communications Working Group and the GIFCT Legal Frameworks Working Group. Sean’s academic background includes advanced studies in criminology and law, with a specific emphasis on national security and digital rights. His work aligns with the UN Sustainable Development Goals (SDGs), particularly addressing issues related to peace, justice, and strong institutions. His research explores the interplay between technology and extremism, examining how algorithms, content moderation policies, and surveillance practices shape extremist content dissemination. Key themes include the ethical implications of bulk surveillance under laws like the UK’s Investigatory Powers Act 2016 and the role of content delivery networks in suppressing extremist material. Sean’s publications analyze trends in online extremism, such as radical filter bubbles and the amplification of extremist content via social media algorithms. His work also highlights the transnational flow of white nationalist ephemera between online and offline domains, emphasizing the need for holistic counter-strategies. He advises on policy development related to online harms and contributes to global initiatives aimed at curbing violent extremism. His interdisciplinary approach bridges criminology, law, and digital media studies, offering critical insights into contemporary security challenges.

Shawn Putnamمشاهده پروفایل

دانشیار

• Interfacial Heat and Mass Transport
• Optical Diagnostics
• Phase-Change Materials
• +۵ مورد دیگر

Shawn Putnam is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). He joined UCF in 2012 after serving as a thermal/materials scientist at the Air Force Research Laboratory. His expertise spans interfacial heat/mass transport, optical diagnostics, and phase-change materials. Putnam holds a Ph.D. in Materials Science and Engineering (UIUC, 2007) and dual bachelor’s degrees in Physics and Applied Mathematics from the University of Minnesota Duluth (2001). His research focuses on advancing thermal management technologies through optical diagnostics for biomolecular binding and interfacial transport. He has pioneered studies on microdroplet evaporation, pulsed spray cooling, and nano-scale thermal phenomena. Awards include the NSF CAREER Award (2017) and Air Force Summer Faculty Fellowships (2015, 2019). Key Research Areas : Interfacial Phenomena, Thermal Diagnostics, Alternative Energy, Biosensors Grants : NSF CAREER Grant for active cooling of extreme heat fluxes Teaching : Courses include Engineering Thermodynamics, Energy Systems, and Intermediate Heat Transfer Lab Work : Develops advanced cooling systems and thermal mapping techniques using quantum dots Recent work explores pulsed sprays for high-power device cooling and curriculum alignment strategies to support transfer students in engineering. His lab integrates experimental and computational approaches to solve complex thermal challenges.

Guy Meadowsمشاهده پروفایل

استاد پژوهشی

• Geophysical Fluid Dynamics
• Environmental Forecasting
• Hydrodynamics
• +۳ مورد دیگر

Guy Meadows is an Emeritus Director and Research Fellow at the Great Lakes Research Center (GLRC) and holds the rank of Research Professor in Mechanical Engineering-Engineering Mechanics (MAE) at Michigan Technological University. He also serves as an Adjunct Professor in Geological and Mining Engineering and Sciences (GMES). His career spans over three decades, including 35 years at the University of Michigan, where he held leadership roles such as Director of the Ocean Engineering Laboratory and the Marine Hydrodynamics Laboratories. He joined Michigan Tech in 2012 to establish the GLRC, focusing on integrating scientific understanding with engineering solutions for marine environments. Education: PhD in Marine Science, Purdue University, 1977 MSE in Mechanical Engineering, Michigan State University, 1974 BSE in Mechanical Engineering, Michigan State University, 1972 Research Interests: Meadows specializes in geophysical fluid dynamics, environmental forecasting, and experimental hydrodynamics in the Great Lakes and coastal oceans. His work emphasizes large-scale field experimentation, autonomous monitoring platforms, and underwater acoustic remote sensing. He has contributed to policy development for coastal management and climate change adaptation. Publications: His most recent articles focus on freshwater radar applications, autonomous surface vessels, and glacial-hydrological interactions. These reflect his dual emphasis on technological innovation and environmental science. Advising & Grants: As a leader in interdisciplinary initiatives, Meadows has directed institutes like the M-STEM Academy and collaborated on federal research programs. His work often involves partnerships with NOAA and other agencies. Labs & Teams: He leads the GLRC, a hub for interdisciplinary marine research, and develops advanced technologies like the BathyBoat autonomous vessel for environmental monitoring.

Ivan Smallمشاهده پروفایل

دانشیار

• Sociocultural Anthropology
• Economic Anthropology
• Transnational Migration
• +۷ مورد دیگر

Ivan Small is an Associate Professor in the Department of Comparative Cultural Studies at the University of Houston’s College of Liberal Arts and Social Sciences. His research focuses on trans-Pacific mobility, remittance economies, and Southeast Asian diasporas, with emphasis on Vietnam and the Vietnamese American community. He holds a Ph.D. in Anthropology from Cornell University and has been affiliated with institutions like the Yusof Ishak Institute and the Smithsonian. His work bridges sociocultural anthropology with economic analysis, examining how capital transformations, transportation systems, and financial technologies shape transnational communities. Dr. Small’s research explores the interplay between migration, consumption, and technology. He has conducted fieldwork in Vietnam and the U.S., analyzing remittance flows, automobility trends, and ethno-suburban development in cities like Houston. His recent projects investigate ASEAN trade agreements’ impact on transportation markets and Vietnamese-American community formations. He serves on the executive board of the War Legacies Project and actively participates in professional organizations such as the American Anthropological Association. Education: Ph.D. in Anthropology, Cornell University Research Interests: Transnational migration, financial inclusion, automobility, diaspora studies, urban development His publications include the award-winning monograph *Currencies of Imagination* (Cornell 2019) and co-edited volumes such as *Money at the Margins* (Berghahn 2018). His articles appear in journals like *Journal of Cultural Economy* and *TRaNS: Trans-Regional Studies of Southeast Asia*. He is currently on leave for 2024-2025.

Kim Försterمشاهده پروفایل

مدرس ارشد

• Architectural History
• Environmental Humanities
• Cultural Studies
• +۳ مورد دیگر

Dr Kim Förster is Senior Lecturer in Architectural Studies at the University of Manchester and a member of the Manchester Architecture Research Group (MARG). He holds a German Staatsexamen (equivalent to a Master's degree) in English and American Studies, Geography, and Pedagogy from Humboldt University Berlin, and a Dr. sc. in Architecture from ETH Zurich. His research focuses on knowledge production, environmental and institutional history, and material flows in architectural contexts. Joined University of Manchester in 2019 Former Associate Director of Research at Canadian Centre for Architecture Leading a research project on the global history of cement as a modern building material Publications include Building Institution (2024), Undiciplined Knowing (2023), and editor of the Environmental Histories of Architecture series (2022). His work engages interdisciplinary critiques involving cultural studies and environmental humanities. Research interests emphasize building transitions, social metabolism, and policies related to energy/material flows. Active in open-access publishing and international academic networks.

Stephen Laycockمشاهده پروفایل

استاد

• Molecular Graphics
• Scientific Visualization
• Virtual Reality (VR)
• +۵ مورد دیگر

Stephen Laycock is a Professor of Computer Graphics at the University of East Anglia (UEA), affiliated with the School of Computing Sciences. He holds additional roles as Associate Dean for Admissions in the Science Faculty. His expertise spans Molecular Graphics, Scientific Visualization, Virtual Reality (VR), Haptics, and GPU programming, with applications in Cultural Heritage preservation and biomedical research. Laycock earned his PhD in 2005 and has been a faculty member since 2005, advancing to Professor in 2024. His research focuses on interactive molecular docking, haptic rendering, and GPU-accelerated algorithms. Notable projects include the development of DockIT software for molecular docking and collaborations in precision agriculture and ornithological migration tracking. Laycock’s work has been recognized with the 2017 Biophysics and Physicobiology Editors’ Choice Award. He teaches computer graphics and GPU programming, and actively supervises PhD students in interdisciplinary areas like virtual reality and haptics. Key initiatives include the Digital Preservation and Immersive Heritage project and GPU-accelerated agricultural monitoring systems.