جست‌وجوی استاد و پژوهشگر

Thomas Oommenمشاهده پروفایل

استاد

• Geohazard Characterization
• Remote Sensing
• Machine Learning
• +۲ مورد دیگر

Thomas Oommen is Professor and Chair of the Department of Geology and Geological Engineering at the University of Mississippi. His research utilizes remote sensing, machine learning, and geospatial analysis for geohazard characterization and infrastructure monitoring. Education includes a PhD from the University of Michigan (2013) and positions at Michigan Technological University (2010-2023) where he directed the Computational Science & Engineering PhD program. Research focuses on landslide susceptibility modeling, flood risk assessment, and infrastructure monitoring using multi-sensor remote sensing data. Recent work employs UAVs, InSAR, and machine learning for terrain characterization and disaster resilience. Publications (2023-2025) demonstrate advancements in landslide prediction algorithms, flood mapping techniques using Google Earth Engine, and machine learning applications for soil characterization. Key methodological innovations include synthetic data augmentation for tailings impoundment classification and HAND model improvements for flood risk assessment. Grant funding includes NSF awards for community resilience projects in Mississippi. Laboratory facilities include geophysical equipment for field investigations and computing resources for spatial analysis. Dr. Oommen leads field investigations of significant geohazards including the 2024 Wayanad landslide and Edenville Dam failure. Research teams collaborate with USGS on earthquake hazard projects in the Eastern Tennessee Seismic Zone.

Jai Tusharمشاهده پروفایل

پژوهشگر ارشد

• Numerical Analysis
• PDE constrained optimization
• Polytopal Finite Element Methods
• +۳ مورد دیگر

Jai Tushar is a Research Fellow at the School of Mathematics, Monash University. His research focuses on numerical analysis, PDE-constrained optimization, and polytopal finite element methods. He holds a Ph.D. in Mathematics from Birla Institute of Technology and Science, where his thesis explored Virtual Element Methods for optimal control problems governed by diffusion equations. Before joining Monash, he served as a Research Associate at the Indian Institute of Technology Roorkee (Dec 2022 – Aug 2023). Research Interests: Tushar’s work emphasizes developing robust numerical methods for interface problems, optimal control systems, and fluid dynamics. His recent contributions include advancements in virtual element methods (VEM) for elliptic and diffusion interface problems, as well as BDDC preconditioners for polytopal discretizations. He also investigates doubly diffusive flows and Darcy flow control, blending theoretical analysis with computational implementations. Publications: His articles highlight trends in polytopal mesh adaptivity, convergence analysis of VEM, and stability studies in predator-prey models. Notable contributions include theoretical studies on Lipschitz domains and practical numerical simulations for ecological systems like Keoladeo National Park. Grants & Advising: No specific grants or student advisement roles are documented. However, his academic trajectory suggests active participation in collaborative research projects.

Qingguo Hongمشاهده پروفایل

استادیار

• Numerical Analysis
• Numerical PDEs
• Applied and Computational Mathematics
• +۳ مورد دیگر

Dr. Qingguo Hong is an Assistant Professor in the Department of Mathematics and Statistics at Missouri University of Science and Technology. His research focuses on numerical analysis, numerical PDEs, applied and computational mathematics, and deep learning. He holds a Ph.D. in Computational Mathematics from Peking University (2012), an M.S. from Xiangtan University (2008), and a B.S. in Information and Computational Science from Xiangtan University (2005). Prior to his current position, he held roles as a Research Scientist at the Johann Radon Institute for Computational and Applied Mathematics (Austria), Postdoctoral Scholar at the University of Duisburg-Essen (Germany), and Assistant Research Professor at Pennsylvania State University (USA). His work emphasizes innovative numerical methods, including extended Galerkin techniques, neural network-driven PDE solvers, and robust approximation frameworks for complex physical models like superconductivity and poromechanics. Research Interests: Numerical methods for partial differential equations (PDEs) Discontinuous Galerkin methods and finite element analysis Deep learning applications in scientific computing Stability analysis of numerical algorithms Phase-field modeling and material science simulations Publications Trends: Dr. Hong's recent work (2021-2025) emphasizes advancements in numerical PDEs through hybrid approaches combining classical methods (e.g., Korn’s inequalities, Galerkin methods) with modern machine learning tools (neural networks). Key themes include: Development of efficient algorithms for time-dependent and coupled PDE systems Stability frameworks for perturbed saddle-point problems Applications in superconductivity, poromechanics, and elasticity Robust discretization techniques for fluid-structure interactions Grants & Advising: While specific grants are not listed, his academic trajectory reflects sustained support through postdoctoral and research roles. He currently advises students in numerical analysis and computational mathematics.

Kathryn McMahonمشاهده پروفایل

استاد

• Seagrass Ecology
• Coastal Ecosystems
• Marine Environmental Stressors
• +۳ مورد دیگر

Kathryn McMahon is a Professor and Associate Dean (Research) at the School of Science , Edith Cowan University . She specializes in coastal biology and ecology with a focus on seagrass ecosystems. Her work integrates eco-physiological and molecular approaches to study environmental stressors like light reduction, climate change, and dredging. Qualifications: PhD in Marine Science, University of Queensland (2005) BSc (Hons) in Botany, University of Western Australia (2000) Research Streams: Human Impacts on Coastal Ecosystems: Investigates sub-lethal stress indicators, resilience thresholds, and consequences of disturbances. Seagrass-Grazing Interactions: Examines consumption rates and plant recovery mechanisms. Seagrass Evolution and Taxonomy: Analyzes evolutionary relationships in genera like Posidonia and Halophila . Grant Portfolio: Leads projects on marine heatwaves, seagrass restoration, and coastal management with funding exceeding $1 million. Collaborates with institutions like the Western Australian Marine Science Institution and Minderoo Foundation. Professional Affiliations: Member of the Australian Marine Sciences Association, Australian Coastal Society, and Coastal & Estuarine Research Federation.

• Geodesy
• Surveying Techniques
• Climate Monitoring
• +۳ مورد دیگر

Prof. Orhan Akyilmaz is a Professor at the Department of Geomatics Engineering, College of Civil Engineering, Istanbul Technical University. He holds a PhD in Geodesy and Photogrammetry Engineering from the same university. His research focuses on geodesy, climate monitoring, and machine learning applications in environmental science. He has been affiliated with Istanbul Technical University since 1999, progressing through roles including Research Assistant, Assistant Professor, and Associate Professor before becoming a full Professor in 2013. Education: Dr. (PhD) in Geodesy and Photogrammetry Engineering (Istanbul Technical University, 2001–2005); M.Sc. (with thesis) in Geodesy and Photogrammetry Engineering (1999–2001); B.Sc. in Geodesy and Photogrammetry Engineering (1995–1999). Research interests include satellite geodesy, GRACE data analysis, groundwater monitoring, and climate hazard modeling. He has pioneered the use of machine learning for geodetic data interpretation and has contributed to global gravity field modeling projects like ITU_GRACE16 and ITU_GGC16. Awards and Memberships: TUJK Science Award (2011); Member of IAG Intercommission Committee on Theory (ICCT) and Turkish National Geodetic Commission (TUJK). His work emphasizes interdisciplinary approaches to environmental challenges, leveraging geodetic data for climate action and disaster response. His publications span over two decades, addressing topics like temporal gravity field analysis, deformation monitoring, and fuzzy logic in geodetic modeling. He collaborates internationally on projects such as the Earth Orientation Parameters Prediction Campaign and has advised on infrastructure stability via GPS monitoring.

Jill Urbanicمشاهده پروفایل

استاد

• Additive Manufacturing
• Robotics and Automation
• Ergonomics and Biomechanics
• +۴ مورد دیگر

Professor Jill Urbanic is a faculty member in the Department of Mechanical Engineering at the University of Windsor’s Faculty of Engineering. Her research focuses on additive manufacturing, robotics, ergonomics, and sustainable design. She has coordinated capstone projects and advised numerous students, including those involved in innovations like 3D-printed medical devices, sustainable material handling solutions, and ergonomic studies in agriculture. She received notable awards such as the Wighton Fellowship (2013) for innovative teaching and Tech Researcher of the Year (2021). Her work integrates advanced manufacturing techniques with real-world applications, including collaborations with local industries and responses to crises like the COVID-19 pandemic. She has led projects on residual stress analysis in additive manufacturing, robotic automation for textiles, and musculoskeletal risk mitigation in manual labor. Prof. Urbanic also co-founded CAMufacturing Solutions, emphasizing practical industry-academia partnerships. Her teaching emphasizes hands-on laboratory experiences, such as robotic arm design, CAD/CAM applications, and material prototyping. She has organized interdisciplinary events like the WE-Spark think tank and contributed to open house initiatives to engage prospective students. Collaborations with peers like Dr. Duncan Lam highlight her cross-disciplinary creativity, blending engineering with art and storytelling.

John N. Hookerمشاهده پروفایل

استادیار

• Structural Geology
• Fracture Mechanics
• Diagenesis
• +۴ مورد دیگر

John N. Hooker serves as Assistant Professor of Environmental Science at the University of the Incarnate Word, teaching courses including Introduction to Environmental Science, Physical Geology, and Water Quality Research. His academic foundation includes B.A., M.S., and Ph.D. degrees in Geology from The University of Texas at Austin, with additional postdoctoral research at the University of Oxford and instructional experience at Penn State University. B.A. in Geology, The University of Texas at Austin M.S. in Geology, The University of Texas at Austin Ph.D. in Geology, The University of Texas at Austin Dr. Hooker's research centers on the interplay between chemical reactions and fracturing processes in Earth's crust, examining how mineral reactions influence fracture patterns that host earthquakes and enable fluid circulation. His work bridges structural geology, diagenesis, and hydrogeology, with specific focus on fracture mechanics, cementation processes, and silicate weathering. He develops innovative tools including an earthquake simulator ( www.mefisto.org ) and experimental approaches using biological systems for mineral breakdown. His publication record demonstrates consistent contributions to understanding fracture patterns, vein formation, and fluid-rock interactions across diverse geological settings from the Marcellus Formation to Ordovician limestones. Recent work integrates field observations with mechanical modeling to unravel the timing and mechanisms of natural fracturing. As a Research Fellow with the Structural Diagenesis Initiative at UT Austin ( www.jsg.utexas.edu/sdi/ ), he collaborates on cutting-edge research in fracture-diagenesis relationships. His fieldwork spans global locations including Bolivia, Scotland, and Jordan, reflecting the international scope of his research on crustal processes. Dr. Hooker maintains active engagement in applied geological research, particularly through projects investigating natural fracture systems for resource extraction and environmental applications. His teaching portfolio spans foundational geology courses to specialized environmental science research.

Robert Moreheadمشاهده پروفایل

دانشیار

• Exoplanet Research
• Astronomy
• Astrophysics
• +۳ مورد دیگر

Robert Morehead serves as an Associate Teaching Professor in the Department of Astronomy and Astrophysics at Pennsylvania State University, where he maintains active research and teaching responsibilities. His institutional contact details include email rcm242@psu.edu and telephone 814-863-9684, reflecting his ongoing engagement with the academic community through both instructional and research channels within the university's astronomical sciences division. Dr. Morehead's primary research focus centers on exoplanet discovery and characterization through statistical analysis of Kepler mission data. His methodological expertise includes approximate Bayesian computation, transit timing variation analysis, and multi-band photometric validation techniques. Key research areas encompass exoplanet population statistics, false positive rate mitigation in transit surveys, multi-planet system architectures, and the development of simulation frameworks for modeling planetary system formation and evolution. His work bridges observational astronomy with advanced computational statistics to address fundamental questions in planetary science. Analysis of his publication record from 2013-2025 reveals consistent contributions to exoplanet population studies, with particular emphasis on statistical validation methods for Kepler candidates. His research demonstrates evolving sophistication in handling large datasets through simulation-based approaches, with increasing focus on software development (notably ExoplanetsSysSim) and Bayesian inference techniques. The thematic progression shows movement from initial candidate validation toward comprehensive population modeling, reflecting broader trends in the field toward data-intensive exoplanet characterization. Scientific Awards: No scientific awards documented in available source materials While the provided documentation contains no explicit references to doctoral advisees or formal student supervision, Dr. Morehead's active research program suggests potential involvement in graduate education through course instruction and research project guidance within the astronomy department. No grant funding information appears in the current source materials, though his publication record implies participation in collaborative research initiatives requiring external support. His current research trajectory, evidenced by the 2025 ExoplanetsSysSim publication, indicates ongoing development of computational frameworks for exoplanet system simulation, suggesting continued leadership in methodological approaches to exoplanet population studies within the Penn State astronomy community.

• Behavioural Nutrition
• Public Health
• Nutrition Labelling
• +۱۱ مورد دیگر

Professor Monique Raats is a leading academic at the University of Surrey, where she serves as Co-Director of the Institute for Sustainability and Director of the Food, Consumer Behaviour and Health (FCBH) Research Centre. She is based in the School of Psychology within the Faculty of Health and Medical Sciences and also contributes to the Surrey Institute for People-Centred Artificial Intelligence. Her work spans nutrition, public health, and sustainable food systems, with a strong emphasis on consumer behaviour and policy translation. MSc, Wageningen University PhD, University of Reading Her research focuses on behavioural nutrition , particularly in areas such as nutrition labelling , maternal and child nutrition , and the food choices of older adults . She has led major EU-funded projects including FLABEL, RICHFIELDS, and SWEET, advancing methodologies in food consumer science and sustainability. Her work bridges research, policy, and public engagement, with significant contributions to national advisory bodies like the UK’s Scientific Advisory Committee on Nutrition (SACN). The most recent publications (2023–2025) reflect a strong trend toward interdisciplinary research combining public health nutrition , environmental sustainability , and digital health interventions . Topics include life cycle assessments of sweeteners, food waste behaviour, maternal supplement use, and public perceptions of processed foods. These works highlight her commitment to evidence-based policy and consumer-centred science. Queen’s Anniversary Prize (2017/2018) for FCBH and Nutritional Sciences Founding member and former Board Secretary, International Society of Behavioral Nutrition and Physical Activity (ISBNPA) Member of the International Scientific Committee for the Choices Programme Extensive advisory roles for EU, UK, and international research projects Monique Raats has supervised numerous PhD students and early-career researchers, with funding from diverse sources including the EU FP7, Horizon 2020, Food Standards Agency, and safefood. Her leadership in developing research infrastructures such as the DI Platform and COMFOCUS underscores her role in advancing data-driven, collaborative science. She leads and collaborates on projects that integrate qualitative and quantitative methods , engage multi-stakeholder perspectives , and aim to improve nutrition policy and public understanding . Her work is instrumental in shaping responsible, sustainable, and equitable food systems.

• Marketing
• International Marketing
• Cultural Dimensions in Business
• +۵ مورد دیگر

Prof. Dr. Veselin Blagoev is a prominent academic and professional leader in Marketing, holding multiple roles including Director of Doctoral Programs and Head of the Quality Management Center at Varna University of Management (VUM). He is also Chairman of the Board of Superbrands Bulgaria and Editor-in-Chief of Businessweek Bulgaria. With over 30 years of teaching experience, Blagoev has instructed at institutions such as the International University in Sofia (IUC), Technical University Sofia (TU-Sofia), and the National University of World Economy (UNWE). His academic expertise spans Marketing Management, International Marketing, Innovation Management, and Cross-Cultural Business Practices. Blagoev holds a PhD in Marketing from TU-Sofia, alongside dual Master’s degrees in Economics and Applied Mathematics from the same institution. His research focuses on cultural dimensions in business, marketing strategy, and consumer behavior, resulting in over 50 publications including 8 authored/co-authored books. Notable works include Marketing in Definitions and Examples (awarded 3 national prizes) and Cultural Maps of the World with Michael Minkov. Prof. Blagoev has consulted for over 100 companies globally, including Philips, Intel, and Nina Ricci, and has contributed to projects such as Pro Extour and CULINART. He serves on boards of organizations like CEEMAN (Central and Eastern European Management Development Association) and chairs the Bulgarian Marketing Association. His awards include the Bulgarian Marketing Association’s Best Article Prize (2005) and recognition for his contributions to cross-cultural studies. Blagoev’s work bridges academic rigor with practical application, emphasizing global market dynamics and the role of cultural context in business strategy. He actively participates in international conferences and has published in journals like the European Journal of Cross-Cultural Competence and Management and Asia Pacific Business Review .

Gamze HOŞGÖRمشاهده پروفایل

پژوهشگر

• Nuclear Physics
• Radiation Shielding
• Electromagnetic Dipole Transitions
• +۳ مورد دیگر

Dr. Gamze HOŞGÖR is a researcher in the Department of Physics at Sakarya University's Faculty of Science, specializing in nuclear physics and radiation shielding. Her work focuses on electromagnetic dipole transitions, giant dipole resonance, and computational modeling of nuclear properties. Current projects: MFAG 125F034 (2025, neutron-rich deformed nuclei GDR), MFAG 123F207 (2023, prolate-oblate transition) Recent publications analyze radiation shielding in La 2 O 3 -B 2 O 3 glasses (2025), E1 excitations in Sm isotopes (2024), and polarization effects in Yb nuclei (2023). She serves as a referee for journals like European Journal of Physics (2024) and Physica Scripta (2024). Contact: gamzeh@sakarya.edu.tr | Phone: +90 264 295 6797

• Wind Energy Systems
• Renewable Energy
• Energy Systems Engineering
• +۴ مورد دیگر

Matti Juhani Koivisto is a Senior Researcher at the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). His work focuses on renewable energy systems integration, particularly wind power modeling and analysis within large-scale energy systems. His research expertise spans several critical domains in renewable energy: Wind Energy Systems Engineering (100%) Wind Power Engineering (89%) Variable Renewable Energy Integration (80%) Power Engineering (56%) Time Series Analysis in Energy Systems (37%) Energy Engineering (35%) Dr. Koivisto's research addresses fundamental challenges in renewable energy integration, with particular emphasis on wind power forecasting, variability analysis, and the impacts of climate change on renewable resources. His work bridges theoretical modeling with practical energy system applications, contributing to more reliable and efficient integration of renewable energy sources into power grids. His recent publications demonstrate a strong focus on offshore wind energy, hybrid power plants, and advanced modeling techniques for wind farm generation. His work on increasing the resolution of solar and wind time series has been particularly influential in energy system modeling, addressing critical data requirements for high renewable penetration scenarios. Dr. Koivisto contributes significantly to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13), with research directly addressing the technical challenges of transitioning to sustainable energy systems. He is actively involved in several major international research projects including AWETRAIN (Airborne Wind Energy Training), DTWO (Federated Digital Twins for Wind-Offshore), and GREAT (GRid Enhancement for Ancillaries in Tomorrow's power systems), where he serves as both project participant and PhD supervisor.

Richard H. Blumمشاهده پروفایل

استاد

• Anesthesiology
• Medical Simulation
• Patient Safety
• +۷ مورد دیگر

Richard H. Blum is a prominent faculty member in the Department of Anesthesia at Harvard Medical School, affiliated with Boston Children's Hospital. His research is centered on medical simulation, patient safety, and resident competency assessment in anesthesiology. He serves as Principal Investigator on a major grant-funded study evaluating first-year anesthesia residents' clinical performance, supported by Harvard Medical School, the Anesthesia Patient Safety Foundation, and The Cathedral Fund. Medical School: University of Pennsylvania School of Medicine, 1988 Internship: Pediatrics, University of Washington School of Medicine/Children’s Hospital and Regional Medical Center Fellowship: Adult and Pediatric Cardiac Anesthesia, Massachusetts General Hospital/Harvard Medical School Fellowship: Pediatric Cardiac and General Pediatric Anesthesia, Tufts-New England Medical Center/Boston Floating Hospital for Infants and Children Dr. Blum’s research focuses on enhancing clinical competence and patient safety through simulation-based training. His work investigates crisis resource management, team communication, reflective practice, and the use of simulation to identify performance gaps in anesthesia residents. He has developed assessment tools and institutional guidelines to improve perioperative care and reduce medical errors. His recent publications show a strong trend in applying simulation to evaluate resident behavior, reflective capacity, and clinical decision-making. The research spans from technical performance to human factors such as ageism, compassion, and communication in clinical encounters. His work bridges anesthesiology with educational psychology and organizational behavior. Grant from Harvard School of Medicine's Department of Anaesthesia Funding from Anesthesia Patient Safety Foundation Support from The Cathedral Fund Dr. Blum leads a research team conducting simulation-based evaluations of anesthesia residents, aiming to establish objective, scalable standards for clinical competency. His work has influenced institutional policies on patient transport, postoperative care, and crisis management. He has developed training curricula and instructor certification guidelines adopted across multiple hospitals. His research initiatives include the development of simulation programs for bioterrorism preparedness, airway management, and team training. He has contributed to the creation of clinical practice guidelines and educational syllabi used in anesthesia training programs. His leadership in simulation-based education has helped shape modern approaches to resident assessment and faculty development in anesthesiology.

• Condensed Matter Physics
• Quantum Many-Body Systems
• Quantum Phase Transitions
• +۸ مورد دیگر

Frédéric Hébert is a teacher-researcher at the Nice Institute of Physics (INPHYNI), a joint research unit of CNRS and Université Côte d'Azur, located in Valbonne, France. He is affiliated with the Department of Physics within the College of Science at Université Côte d'Azur, where he conducts research in theoretical and computational condensed matter physics. Institution: Université Côte d'Azur Research Unit: INPHYNI (CNRS UMR7010) Location: Sophia Antipolis, Valbonne, France Email: Frederic.HEBERT@univ-cotedazur.fr His research focuses on quantum many-body systems, particularly in one-dimensional settings, with emphasis on electron-phonon interactions, quantum phase transitions, and strongly correlated electrons. He employs advanced computational techniques such as Quantum Monte Carlo and explores the application of machine learning through neural network quantum states for detecting quantum critical points. The recent publications highlight a strong trend in studying fundamental quantum phenomena in low-dimensional systems, especially the interplay between charge, spin, and lattice degrees of freedom. His work bridges theoretical physics with modern computational methods, exploring symmetry, phase competition, and anharmonic effects in quantum models like the Hubbard-Holstein and Holstein models. There are no scientific awards explicitly mentioned in the provided text. Frédéric Hébert is actively involved in collaborative research projects, as evidenced by his co-authorships with prominent physicists such as George Ghassan Batrouni, Richard T. Scalettar, and Patrizia Vignolo. While specific grants are not listed, his ongoing publication record suggests active funding and research support. He contributes to the academic mission through both research and teaching, though details about advisees or formal students are not available. He is associated with the INPHYNI laboratory, a leading center for physics research in the south of France, where he contributes to the Complex Systems Academy and works on quantum simulation and modeling of correlated systems.

Kjell Gunnar Robbersmyrمشاهده پروفایل

استاد

• Mechatronics
• Machine Design
• Condition Monitoring
• +۵ مورد دیگر

Kjell Gunnar Robbersmyr is a Professor at the University of Agder's Department of Engineering Sciences and director of the Top Research Center in Mechatronics. With a Ph.D. in mechanical engineering from NTNU (1992), his career spans academic leadership, research management at Agder Research, and active contributions to IEEE. His work focuses on mechatronics, machine design, and condition monitoring, with special emphasis on fault diagnosis in electric motors and vehicle crash modeling. Senior Member of IEEE Member of Norwegian Academy of Technical Sciences Member of Agder Academy of Sciences Research interests include: Advanced fault diagnosis in electric drives using AI and signal processing Vehicle crashworthiness modeling with lumped parameter and finite element methods Optical measurement technology for machine monitoring Digital twin applications for infrastructure and wind energy systems Condition monitoring of low-speed bearings and rotating machinery Recent publications demonstrate expertise in: Deep learning for imbalanced motor fault datasets Transformer networks in power electronics diagnostics 3D reconstruction techniques for mechanical systems Multi-classifier decision fusion in power systems Dynamic operations modeling for electric vehicles Scientific contributions include: Over 50 peer-reviewed articles Leadership in the Intelligent Monitoring research group Development of novel inverter topologies Innovations in wind turbine condition monitoring Advancements in laser-based mechanical diagnostics