جست‌وجوی استاد و پژوهشگر

Julio M. Ottinoمشاهده پروفایل

استاد

• Complex Systems
• Granular Matter Dynamics
• Fluid Mixing
• +۵ مورد دیگر

Julio M. Ottino is the Walter P. Murphy Professor of Chemical and Biological Engineering and holds a courtesy appointment in Mechanical Engineering at Northwestern University. He also serves as a Professor of Management and Organizations at the Kellogg School of Management. His research focuses on complex systems, granular matter dynamics, and mixing/segregation phenomena, with applications spanning engineering, geophysics, and environmental science. Ottino’s work bridges theory, computation, and experimentation, addressing challenges in granular flow optimization and segregation control. He is affiliated with the Theoretical and Applied Mechanics Graduate Program and leads the Ottino Research Group. Key research interests include agent-based modeling, network theory, and the interplay between order and disorder in physical systems. His contributions span fluid dynamics, nonlinear systems, and engineering education innovation. Awards: Member of the National Academy of Sciences (2022), G.I. Taylor Medal (2023), and numerous engineering accolades. Publications: Over 200 peer-reviewed articles on granular flows, segregation forces, and mixing dynamics. Education: Ph.D. in Chemical Engineering (assumed based on career trajectory). Ottino’s work emphasizes cross-disciplinary collaboration, as highlighted in his book ArtScience: Creativity in the post-Google Generation . His lab explores cutting-edge topics like machine learning for mixing optimization and ergodic subset analysis in chaotic systems.

• Industrial Net Zero Transition
• Automation in Mining
• Hybrid Systems Control
• +۳ مورد دیگر

Dr. Honglei Xu is an Associate Professor of Industrial Optimization and Engineering at Curtin University, specializing in industrial system optimization for net-zero transition. He serves as Node Leader of ATN Industry Doctoral Training Centre and Mathematics Honours Coordinator. His research spans automation in mining, hybrid systems control, and optimization in construction and energy sectors. Recent publications demonstrate interdisciplinary approaches combining operations research, AI, and control theory for sustainable industrial solutions. Honors include IEEE Senior Membership and JSPS Fellowship. Current projects focus on public transport optimization, renewable energy forecasting, and intelligent control systems for mineral processing. Dr. Xu teaches courses in mathematical modeling and production planning while serving as associate editor for multiple international journals including Complexity and Energies.

• Computational Neuroscience
• Neurophysics
• Brain Oscillations
• +۲ مورد دیگر

Paul Tiesinga is Professor of Neuroinformatics at Radboud University's Faculty of Science, where he directs the Neuroinformatics group at the Donders Centre for Neuroscience. His research focuses on understanding information processing in the brain, particularly the role of oscillations ('brain waves') in cognitive functions and disease mechanisms. He combines computational modeling with experimental approaches including optogenetics to investigate cortical dynamics. As Director of Education for the Institute for Mathematics, Physics and Astronomy, he oversees academic programs while maintaining active research in: Computational modeling of cortical circuits Oscillation mechanisms in neural coding Data sharing policies for neuroscience Information transfer between brain areas His recent publications reflect advances in neurotechnology development, thalamocortical connectivity analysis, and novel methodologies for neural data interpretation.

W. Raghupathiمشاهده پروفایل

استاد

• Analytics
• Artificial Intelligence
• Deep Learning
• +۱۰ مورد دیگر

W. Raghupathi is a Professor at Fordham University’s Gabelli School of Business, Department of Information, Technology, and Operations, where he has been since 1998. He directs the Design and AI labs within the Center for Digital Transformation and co-edits the International Journal of Healthcare Information Systems and Informatics for North America. His work bridges analytics, artificial intelligence, and deep learning with applications in climate change, healthcare, crowdfunding, cybersecurity, and ESG. Education : L.L.M. in Intellectual Property in Information Technology (Fordham Law School, magna cum laude ), Ph.D. (University of Texas at Arlington), M.B.A. (University of Texas at Arlington), M.Com (Sri Venkateswara University, India), B.Com and B.L. (Osmania University, India). His research spans health informatics , climate change analytics , ESG and sustainability , cybersecurity , and AI ethics . Articles highlight trends in visual analytics for public health and climate impact, machine learning in legal and cybersecurity contexts, and cross-country sustainability studies . Awards include grants from IBM and Verizon, while his labs focus on digital transformation and AI-driven research . Scientific Awards : Faculty awards from IBM Corporation Grants from IBM Corporation Faculty awards from Verizon Grants from Verizon Dr. Raghupathi’s prior roles include positions at California State University, The University of Texas at Arlington, Intel Corporation, and industry experience in India and the U.S. before his academic career.

Amit Kumar Mishraمشاهده پروفایل

استاد

• Machine Learning
• Radar Technology
• Synthetic Aperture Radar (SAR)
• +۷ مورد دیگر

Amit Kumar Mishra is a Professor of Communications Engineering and Director of the National Spectrum Centre at Aberystwyth University, UK. His primary affiliation is within the Faculty of Business and Physical Sciences. He leads interdisciplinary research in radar technology, machine learning, and cognitive architectures with applications in environmental monitoring, biomedical engineering, and cybersecurity. His research interests include Synthetic Aperture Radar (SAR) imaging, AI-driven environmental sensing (e.g., agricultural monitoring, biodiversity tracking), and advanced communication systems like IRS-enhanced NOMA networks. Recent work focuses on developing symbiotic AI-human cognitive systems for attention management and sensor data assimilation in industrial environments. Over 200+ publications span journals like Sensors , IEEE Transactions , and conference proceedings. Notable collaborations include projects on oil spill detection, underwater object recognition, and patient-specific medical modeling. He co-led the SMART Expertise project (2025) focused on innovation bridging. Media highlights include reports on medical imaging applications (Coarctation of Aorta studies) and the Aberystwyth University Technology Centre's innovation initiatives. His work aligns with UN SDGs related to sustainable cities and responsible consumption patterns.

Huixuan Wuمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Experimental Technology
• Multiphase Flow
• +۴ مورد دیگر

Huixuan Wu is an Associate Professor in the Department of Mechanical Engineering at the Florida A&M University-Florida State University College of Engineering. Their research focuses on fluid mechanics, experimental technology, multiphase flow, turbulence, and statistical mechanics. They hold a Ph.D. and M.S. in Mechanical Engineering from Johns Hopkins University (2011 and 2008, respectively). Notable achievements include the NSF CAREER Award and the Alexandra von Humboldt Scholarship. Research contributions span magnetic particle tracking technologies, turbulence analysis, and flow visualization techniques. Dr. Wu has also explored interdisciplinary applications such as wind sensing using UAVs and the statistical mechanics of income inequality. Publications highlight advancements in neural network-based algorithms for particle tracking, persistent homology methods in turbulent flows, and acoustic liner performance simulations. Their work bridges computational modeling, experimental fluid mechanics, and machine learning, with applications in aerospace and biomedical engineering. Labs and collaborations involve experimental setups for granular flow analysis and aerodynamic noise mitigation. Advising focuses on graduate students exploring fluid dynamics and related interdisciplinary topics.

Bryan Goodمشاهده پروفایل

استادیار

• Cardiovascular biomechanics
• Biorheology
• Computational fluid dynamics
• +۵ مورد دیگر

Bryan Good is an Assistant Professor in the Department of Mechanical, Aerospace, and Biomedical Engineering at the University of Tennessee, Knoxville, holding this position since August 2020 after completing an American Heart Association Postdoctoral Fellowship at Penn State University and Hershey Neuroscience Institute. His educational qualifications include: PhD in Bioengineering from Penn State University (2017) BS in Mechanical Engineering from Carnegie Mellon University (2012) BS in Biomedical Engineering from Carnegie Mellon University (2012) Dr. Good's research centers on cardiovascular biomechanics with critical focus areas in acute ischemic stroke , congenital heart disease , and thrombosis . His lab integrates computational fluid dynamics and experimental methodologies to investigate blood flow dynamics, medical device-tissue interactions, and biomaterial properties. Key projects include mechanical thrombectomy optimization for stroke intervention, vascular remodeling studies in pediatric patients, and development of mock circulatory systems for device testing. His work emphasizes translational collaboration with clinicians to address real-world cardiovascular challenges. Analysis of his 10 publications (2015-2020) reveals consistent expertise in medical device validation using FDA benchmark models, with significant contributions to ventricular assist device optimization and pediatric cardiovascular applications. His research demonstrates sophisticated application of fluid-structure interaction modeling and biorheology principles to solve clinical problems in both adult stroke treatment and congenital heart disease management. His scientific recognition includes: Young Investigator Finalist at the 6th International Conference on Clinical and Engineering Frontiers in Pediatric and Congenital Heart Disease (2019) Trainee Scholarship from Michigan Cardiovascular Innovation Workshop (2017) Koff Award for Outstanding Abstract at ASAIO Conference (2016) Villforth and Riess Graduate Assistantship Awards from Penn State University (2016, 2015) Travel Award from International Society of Biorheology (2015) As principal investigator of the Cardiovascular Biomechanics Lab, Dr. Good mentors graduate students in biomedical engineering research while securing external funding including his prior American Heart Association fellowship. He serves as peer reviewer for 10+ leading journals including Journal of Biomechanical Engineering and Annals of Biomedical Engineering, and maintains active memberships in the American Heart Association and Biomedical Engineering Society. The Cardiovascular Biomechanics Lab under Dr. Good's direction specializes in experimental and computational analysis of cardiovascular devices and pathologies, utilizing particle image velocimetry, laser Doppler systems, and advanced CFD modeling to develop solutions for stroke treatment, congenital heart disease, and medical device optimization through close clinical partnerships.

Vivek Ranadeمشاهده پروفایل

استاد

• Process Intensification
• Chemical Reactor Engineering
• Multiphase Flows
• +۶ مورد دیگر

Prof. Vivek Ranade is a Bernal Chair Professor of Process Engineering at the Bernal Institute, University of Limerick, and a Professor of Chemical Engineering at Queen's University Belfast. He leads research in multiphase reactors, process intensification, and sustainable energy/water technologies. His work spans applications in energy, water, and fine chemicals sectors, with contributions to industrial flow modeling, CFD, and digital twins. Education: B.Tech in Chemical Engineering (1983) and PhD (1988) from the Institute of Chemical Technology, Mumbai. Postdoctoral research at ETH Zurich (1988–1990). Served as Deputy Director at CSIR-National Chemical Laboratory (NCL) until 2016. Holds adjunct roles at the Institute of Chemical Technology and Academy of Scientific and Innovative Research. Research Interests: Multiphase flow dynamics, reactor engineering, process intensification, hydrodynamic cavitation, and sustainable technologies. Co-founded Tridiagonal Solutions and VIVIRA Process Technologies to commercialize innovations. Awards: Shanti Swarup Bhatnagar Prize (2004), Swarnajayanti Fellowship, Fellowships from IChemE, Indian National Science Academy, and multiple academies. Advising: Guided over 20 PhD students; involved in industrial collaborations and start-ups. Labs/Teams: Leads the Multiphase Reactors group at UL and QUB, and collaborates on projects like the MAGIC initiative for specialty chemicals.

Satu Huuhkaمشاهده پروفایل

استاد

• Sustainable Renovation
• Circular Economy in Construction
• Building Stock Analysis
• +۳ مورد دیگر

Professor Satu Huuhka leads Tampere University's efforts in sustainable renovation and circular economy transition in construction. As the inaugural Professor of Sustainable Renovation (appointed 2024), she heads the multidisciplinary ReCET research group, focusing on decarbonizing the built environment through building reuse. Her work demonstrates that renovating existing structures reduces carbon emissions more effectively than new construction, challenging industry norms. Education: MSc Architecture (2010), PhD (2016), both from Tampere University of Technology. Prior roles include Adjunct Professor (2018), Senior Research Fellow (2019–2021), and leadership in the EU-funded ReCreate project (2021–present). Recognized with the 2023 TunnustusPAANU Award and 2024 Order of the Lion of Finland medal. Research emphasizes deconstruction of precast concrete, policy frameworks for circularity, and adaptive reuse strategies. Current projects include ReCreate's pilot deconstruction of Tampere office buildings and analysis of material flows in urban environments. Collaboration with firms like Skanska drives industry adoption of reuse practices. Teaching involves training next-generation researchers through doctoral supervision and interdisciplinary teamwork. Personal passion for restoration extends to home renovations and kintsugi-inspired ceramics repair, reflecting her professional commitment to preserving and revitalizing existing structures.

Ylva Sjöbergمشاهده پروفایل

دانشیار

• Arctic Hydrology
• Permafrost Dynamics
• Climate Change Impact on Water Resources
• +۲ مورد دیگر

Ylva Sjöberg is an Associate Professor at the Department of Ecology, Environment and Geoscience, Umeå University. Her research focuses on Arctic hydrology, permafrost dynamics, and climate change impacts on water resources, employing numerical modeling and field-based methods across northern Fennoscandia, Greenland, and Alaska. Key research areas include: Mechanistic understanding of Arctic river methane emissions (ARIMETH project, 2025) Cryospheric impacts on water quality and flow paths Development of standardized permafrost thaw monitoring protocols Science communication through Frozen-Ground Cartoons Her publications emphasize interdisciplinary approaches, linking groundwater-surface water interactions, permafrost thaw cascades, and biogeochemical processes in Arctic catchments. She actively collaborates with Indigenous communities and contributes to Arctic policy frameworks.

• Fluid-Structure Interaction
• Continuum Mechanics
• Numerical Analysis
• +۳ مورد دیگر

Matthias Heil is a Professor of Applied Mathematics at The University of Manchester, specializing in Fluid-Structure Interaction, Continuum Mechanics, and Numerical Analysis. His research focuses on fluid dynamics, solid mechanics, and computational methods, with contributions to the OOMPH-LIB software library. He is affiliated with the Continuum Mechanics and Numerical Analysis research groups, and his work aligns with UN Sustainable Development Goals through initiatives like Digital Futures and the Christabel Pankhurst Institute. Education details are available on his personal webpage. Research interests include fluid-structure interaction in physiological systems, elastic-walled channel flows, and microfluidic applications. His recent work explores sedimentation dynamics, wake instabilities, and multiphysics modeling. He has supervised 20 research works and contributed to projects like the Föppl–von Kármán equations for MEMS membranes. Labs/Teams: Continuum Mechanics Group, OOMPH-LIB developers, Fluid-Structure Interaction research cluster.

Luke Gartlanمشاهده پروفایل

مدرس ارشد

• Photography History
• Japanese Modern Art
• Cross-Cultural Art Studies
• +۶ مورد دیگر

Dr. Luke Gartlan is a Senior Lecturer in Art History at the University of St Andrews' School of Art History. His expertise spans modern visual practices in the global 19th century, with a focus on photography history, Japanese modern art, and cross-cultural exchanges. He holds a PhD from the University of Melbourne and has authored influential works such as A Career of Japan , awarded the Josef Kreiner Prize. He co-edits the History of Photography journal and coordinates the MLitt History of Photography program. Current research includes Australia-Japan visual exchanges and early photography in St Andrews linked to British imperialism. He supervises three PhD candidates and has guided numerous postgraduates to completion. Education : BA/BS and PhD in Art History, University of Melbourne. Key Projects : Investigates provinciality and empire through family photo albums, and trans-Pacific cultural flows. Grants : Funded by the Paul Mellon Centre and the Royal Society of Edinburgh. Recognition : Includes a Getty Research Institute publication and residential fellowships at Yale and Nihon University.

Maud Lanauمشاهده پروفایل

استادیار

• Industrial Ecology
• Socioeconomic Metabolism
• Circular Economy
• +۴ مورد دیگر

Maud Lanau is an Assistant Professor at Chalmers University of Technology's Department of Building Technology within the School of Architecture and Civil Engineering. Her research focuses on sustainable built environments, integrating industrial ecology, socioeconomic metabolism, and circular economy principles to reduce environmental impacts. She specializes in material stock and flow analysis, carbon accounting, and urban resource cadasters. Education: PhD in Environmental Engineering (2020), University of Southern Denmark MSc in Industrial Ecology (2014), Chalmers University of Technology Mastère in Housing Engineering (2011), University Paul Sabatier of Toulouse BSc in Mathematics, Physics, and Chemistry (2012), University Paul Sabatier of Toulouse Research Interests: Lanau’s work examines how built environment stocks can support circular economy transitions. She develops methods for material stock modeling, integrates data collection frameworks for construction practitioners, and explores urban morphology-material stock relationships. Her projects include the NUMMS initiative linking urban form to material stocks and the Future URCs project addressing circular logistics in construction. Collaborations & Teaching: She co-supervises PhD students on topics like construction plastics circularity and sustainable mass handling. Lanau teaches the master’s course 'Sustainability Analytics and Visualization,' emphasizing industrial ecology tools and visualization techniques. She actively participates in interdisciplinary projects like CREATE and the Swedish Circular Economy Colloquium.

Hassan Karimiمشاهده پروفایل

استاد

• Geoinformatics
• Machine Learning
• Location-Based Services
• +۵ مورد دیگر

Hassan Karimi is a Professor at the University of Pittsburgh's School of Computing and Information, Department of Informatics and Networked Systems. His research focuses on Geoinformatics, Machine Learning, Location-Based Services, and Navigation Applications, with expertise in Mobile Computing and Distributed/Parallel Computing. He holds a Ph.D. in Geomatics Engineering from the University of Calgary, along with an MS in Computer Science from the University of Calgary and a BS in Computer Science from the University of New Brunswick. His research interests encompass computational geometry, geospatial data science, and smart city technologies. Notable contributions include methodologies for obstacle detection for visually impaired navigation, collaborative wayfinding systems, and spatiotemporal activity prediction. He leads the Geoinformatics Laboratory, which explores geospatial data science, mobile computing, and navigation systems. Key publications include works on geospatial data science techniques, navigation systems, and machine learning applications. His lab develops technologies for autonomous vehicles, environmental monitoring, and precision agriculture. He is the author of several books, including *Geospatial Data Science Techniques and Applications* (Taylor & Francis, 2018) and *Big Data: Techniques and Technologies in Geoinformatics* (Taylor & Francis, 2014). His work bridges theoretical research and practical applications, addressing challenges in smart cities, environmental sustainability, and health informatics. The Geoinformatics Lab collaborates on projects such as sensor networks, spatial data mining, and geovisualization.

Yaoping Huمشاهده پروفایل

استاد

• Brain-Machine Interfaces
• Multi-sensory User Interaction in XR
• Immersive Analytics
• +۵ مورد دیگر

Yaoping Hu is a Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary, and an Associate Member of the Hotchkiss Brain Institute. He holds a Ph.D. in Robotics and Neuroscience from the University of Western Ontario. His research focuses on Human-Computer Interaction within Virtual Environments, particularly in Brain-Machine Interfaces, multisensory user interaction in XR, and immersive analytics. He teaches courses such as ENSF 619.36 (Brain-Machine Interface Systems), ENSF 519.51 (Brain-Machine Interfaces), ENEL 602 (Virtual Environments), and ENSF 545 (Introduction to VR). Research interests include modeling neural mechanisms for visuomotor processes, cognitive-ergonomic interaction design, and applications in surgical planning, data visualization, and human-machine collaboration. He leads the Visualization and Interaction Laboratory, collaborating with institutions like the neuroArm Project, Fluid Dynamics Group, and international partners in France. Past and current students include Stanley Tarng, Lida Ghaemi Dizaji, and Aida Erfanian. His work spans projects like neuroSim (a surgical simulator) and BioVista (biofilm visualization tools). Collaborations with industry partners such as Nova Chemicals and Calgary Scientific Inc. support applied research in complex data analysis and virtual reality systems.