جست‌وجوی استاد و پژوهشگر

Abdessattar Abdelkefiمشاهده پروفایل

استاد

• Dynamics and Vibrations
• Aeroelasticity
• Fluid Structure Interaction
• +۶ مورد دیگر

Dr. Abdessattar Abdelkefi is a Professor in the Department of Mechanical & Aerospace Engineering at New Mexico State University's College of Engineering. He directs the Nonlinear Dynamics & Energy Harvesting Laboratory (NDEHL) and holds a Ph.D. from Virginia Tech (2012). His research bridges dynamics, fluid-structure interactions, and renewable energy, with applications in drones, MEMS, and energy harvesting. Research Focus Dr. Abdelkefi's work spans Dynamics & Vibrations , Aeroelasticity , and Robotics & Controls , emphasizing nonlinear phenomena and energy conversion. Key areas include: Vortex-induced vibrations for renewable energy harvesting Bio-inspired drone design and aerodynamic optimization Nanoscale sensors and microgyroscopes Flexoelectric and piezoelectric material applications Publication Trends Recent articles (2019-2020) focus on experimental/theoretical synergy in energy harvesting (galloping, vortex-induced, piezoelectric) and bio-inspired UAV design. Over 70% involve computational modeling validated with wind tunnel/field tests, highlighting innovations in broadband energy capture and nano/microsystem efficiency. Awards & Honors 2020: Outstanding Research Professor (MAE Academy) & Teaching-Research-Service Synergy Award (College of Engineering) 2019: Early Career Award (NMSU Research Council), Outstanding Research Professor, Los Alamos NMC Faculty Appointee 2013: Best Paper Award from Theoretical & Applied Mechanics Letters 2011–2012: Graduate Scholarships (Virginia Tech) Laboratory & Advising NDEHL researches vibration-based energy harvesting, nonlinear dynamics, and drone aerodynamics. Dr. Abdelkefi mentors graduate students in experimental/computational projects, though specific advisees are unnamed in available data.

Lukasz Szpruchمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Analysis
• Theoretical Machine Learning
• +۱۰ مورد دیگر

Lukasz Szpruch serves as Professor at the University of Edinburgh's School of Mathematics and Programme Director for Finance and Economics at The Alan Turing Institute. He leads the FAIR research programme on responsible AI adoption in financial services and co-investigates the UK Centre for Greening Finance & Investment (CGFI), directing partnerships with the National Office for Statistics, Accenture, Bill & Melinda Gates Foundation, and HSBC. He maintains affiliations with the Oxford-Man Institute for Quantitative Finance. His research focuses on probability theory , stochastic analysis , and theoretical machine learning , with current investigations into deep learning foundations, mean-field models, reinforcement learning, game theory, multiagent systems, and computational optimal transport. These theoretical frameworks are rigorously applied to financial economics problems including market dynamics, risk modeling, and regulatory compliance, emphasizing mathematical precision in AI system design. Recent publications reveal a strategic shift toward responsible AI deployment in finance , addressing large language model governance, synthetic data privacy, and non-asymptotic sampling theory. His work consistently bridges abstract mathematics with financial sector applications, particularly through the FAIR programme's industry collaborations that translate theoretical advances into practical frameworks for trustworthy AI adoption. As Principal Investigator of FAIR and CGFI co-Investigator, Szpruch manages significant research funding streams focused on AI ethics in financial services and sustainable finance. His academic leadership drives cross-sector initiatives where theoretical research directly informs regulatory policy development and industry best practices, though specific student mentoring details remain unspecified in source materials. Szpruch operates at the nexus of three critical research ecosystems: the FAIR programme's industry partnerships, CGFI's sustainability-focused finance research, and the Oxford-Man Institute's quantitative finance initiatives. These interconnected teams combine mathematical rigor with real-world financial applications, developing frameworks for AI assurance, green finance metrics, and synthetic data validation that address systemic challenges in modern financial systems.

Chaopeng Shenمشاهده پروفایل

استاد

• Hydrology
• Deep Learning
• Physics-Informed Machine Learning
• +۹ مورد دیگر

Chaopeng Shen is a Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University. His research bridges hydrology with state-of-the-art deep learning and differentiable modeling techniques, focusing on advancing our understanding of hydrologic cycles and their interactions with ecosystems, energy, and carbon cycles. He leads the Multi-scale Hydrology, Processes and Intelligence group (MHPI) and has developed the Process-based Adaptive Watershed Simulator (PAWS) for large-scale hydrologic modeling. Shen's work emphasizes physics-informed machine learning , where deep learning components are integrated with process-based equations through differentiable modeling. This approach enables training neural networks using big data while respecting physical laws, leading to improved generalizability and robustness. His group has demonstrated advantages of differentiable models in rainfall-runoff prediction, routing, ecosystem modeling, and water quality studies. Notably, his team's deepLDB project addresses landslide prediction using AI and big datasets. Recent publications highlight his contributions to global water modeling (grid-LSTM, differentiable Muskingum-Cunge routing), extreme flood forecasting (probabilistic diffusion models), and hydrologic uncertainty quantification . Shen actively engages in interdisciplinary collaborations through the PRISM Cooperative Institute, which aims to integrate multi-domain data for systemic risk assessment. His group has advised students including Dapeng Feng, Wen-Ping Tsai, Kuai Fang, Xinye Ji, and Tasnuva Mahjabin. Shen's research is supported by the National Science Foundation (NSF), Department of Energy (DoE), USGS, Google.org, and the Gates Foundation. He serves as Editor for the Journal of Geophysical Research - Machine Learning & Computation and Chief Editor for Frontiers in Water: Water & AI. His open-source software tools like PAWS and deepLDB are available through dedicated project websites.

Vakur B. Erturkمشاهده پروفایل

استاد

• Computational Electromagnetics
• Antenna Engineering
• Structural Health Monitoring
• +۵ مورد دیگر

Professor Vakur B. Erturk is a distinguished faculty member in the Department of Electrical and Electronics Engineering at Bilkent University's Faculty of Engineering. With a PhD from The Ohio-State University (2000), his academic journey spans over two decades of impactful research and teaching. His research focuses on advanced computational electromagnetics, specializing in closed-form Green's function representations, conformal antenna design, structural health monitoring systems, and metamaterial applications. His work bridges theoretical electromagnetics with practical engineering solutions, particularly in wireless sensing and high-frequency electromagnetic analysis. Professor Erturk's publication record demonstrates consistent innovation, with recent work emphasizing efficient computational methods like the multilevel fast multipole algorithm (MLFMA) for multiscale electromagnetic problems. His research shows strong continuity in antenna theory while expanding into metamaterial-inspired sensors and structural monitoring systems. Best master thesis award (1996) He actively mentors graduate students, with over 30 PhD and MSc graduates who have contributed significantly to fields including computational electromagnetics, antenna design, and wireless sensor development. His research group maintains strong collaborations with institutions like Middle East Technical University and researchers in metamaterials and structural health monitoring. Professor Erturk teaches core courses including Microwave Engineering, Antenna Engineering, and Computational Methods in Electromagnetics, shaping the next generation of electrical engineers through rigorous theoretical and practical instruction.

Brian Stemperمشاهده پروفایل

استاد

• Biomechanics of traumatic brain injury
• Biomechanics of spine injury
• Automotive safety
• +۴ مورد دیگر

Brian Stemper is a Professor in the Joint Department of Biomedical Engineering at Marquette University and Medical College of Wisconsin, and Professor in the MCW Department of Neurosurgery. He serves as Director of the Neuroscience and Biomechanics Research Laboratories at the Zablocki VA Medical Center in Milwaukee, where his research bridges engineering principles with clinical applications in trauma biomechanics. Dr. Stemper holds a PhD in Biomedical Engineering from Marquette University (2004) and a BS from Milwaukee School of Engineering (1998). His career progression includes positions as Assistant Professor (2004-2008), Associate Professor (2008-2017), and Professor (2019-present) across both institutions, with tenure awarded in 2023. His research focuses on biomechanics of traumatic brain injury, spine injury mechanisms, and automotive safety. Stemper's work examines how mechanical forces translate to biological damage in neural and spinal tissues, with particular interest in repetitive head impacts in sports, military aviation injuries, and automotive collision biomechanics. His laboratory develops experimental models to characterize injury thresholds and mechanisms. Analysis of his 15 most recent publications reveals consistent focus on spinal biomechanics (60%), traumatic brain injury (30%), and military/aerospace applications (10%). His work increasingly integrates computational modeling with experimental validation, particularly in personalized injury prediction and the effects of repetitive impacts. 2004 Best Paper by a Young Researcher, International Research Council on the Biomechanics of Impact 2006-2008 Listed in Who's Who in Science and Engineering 2007-2010 Listed in Who's Who in America 2008 Listed in Who's Who in the World 2009 Best Student Paper, Rocky Mountain Bioengineering Symposium 2010 NASS Best Poster Presentation, North American Spine Society Dr. Stemper has secured significant grant funding from NIH, Department of Veterans Affairs, Department of Defense, and Air Force Research Laboratory. His current research examines head impact exposure in athletes, neck and back pain in high-performance aircrew, and factors influencing addiction outcomes following brain injury. He has mentored numerous graduate students and serves on the Institutional Animal Care and Use Committee at the Zablocki VA Medical Center.

Darrell Rossمشاهده پروفایل

استاد

• Forest entomology
• Ecology and management of forest insect pests
• Bark beetle ecology
• +۷ مورد دیگر

Darrell Ross is a Professor in Entomology at the School of Natural Resource Sciences , North Dakota State University . Previously, he held professorial roles at Oregon State University in the Department of Forest Ecosystems and Society and served as Director of the Richardson Hall Quarantine Facility from 2006–2019. His academic journey began with a PhD in Entomology from the University of Georgia (1990), an MS in Forest Ecology from Oregon State University (1985), and a BS in Forest Science from Pennsylvania State University (1981). PhD , Entomology, University of Georgia, 1990 MS , Forest Ecology, Oregon State University, 1985 BS , Forest Science, Pennsylvania State University, 1981 Dr. Ross specializes in forest entomology, focusing on bark beetle ecology, pheromone-based management strategies, and biological control of invasive species like the hemlock woolly adelgid. His work integrates chemical ecology with forest health assessment and ecological restoration. His research emphasizes pheromone applications (e.g., MCH) for bark beetle control, predator-prey dynamics in biological control of adelgids, and habitat manipulation for pest management. Recent studies address biodegradable pheromone formulations, predator phenology for invasive species control, and post-outbreak ecological impacts on pollinators. At Oregon State University, he directed the Richardson Hall Quarantine Facility, contributing to large-scale forest protection strategies. Current work at NDSU continues his legacy in integrating chemical signaling with forest ecosystem management.

Atrisha Sarkarمشاهده پروفایل

استادیار

• Human-centric multiagent systems
• Human-AI interaction
• Human-robot interaction
• +۴ مورد دیگر

Atrisha Sarkar is an Assistant Professor in the Department of Electrical and Computer Engineering at Western University , Canada, and heads the Humans and Autonomous Agents Lab . She is also a faculty member of the Rotman Institute of Philosophy and a Faculty Affiliate at the Schwartz Reisman Institute for Technology and Society . Her research integrates empirical and behavioral game theory with software engineering to design human-centric AI systems that prioritize safety and societal well-being. Education: Atrisha holds a PhD and has previously served as a postdoctoral fellow at the Schwartz Reisman Institute for Technology and Society at the University of Toronto under the supervision of Prof. Gillian Hadfield. Research Focus: Her work centers on human-centric multiagent systems , combining methods from: Behavioral and empirical game theory Software engineering Human-AI and human-robot interaction AI safety and reliability She applies these to domains such as autonomous driving, cooperative AI, and social media dynamics, aiming to ensure AI systems align with human values and societal norms. Publications and Impact: Atrisha has published extensively in top-tier venues including AAAI , AAMAS , ICRA , NeurIPS , and EC . Her work spans from theoretical models of strategic behavior to practical frameworks for validating autonomous systems, with a strong emphasis on real-world applicability. Labs and Teams: She leads the Humans and Autonomous Agents Lab at Western University, where her team focuses on designing AI agents that can cooperate effectively with humans in complex, dynamic environments.

• Agent-Based Computational Economics
• Economic Networks
• Macroeconomics
• +۳ مورد دیگر

Giorgio Fagiolo is a Full Professor of Economics at Sant'Anna School of Advanced Studies. His work spans agent-based computational economics, economic networks, and macroeconomic policy analysis. University: Sant'Anna School of Advanced Studies (Scuola Superiore Sant'Anna) Department: Economics Email: giorgio.fagiolo@sssup.it Research interests focus on agent-based modeling , macroeconomic instability , and climate-economy interactions . He develops computational models to study industrial dynamics, financial integration, and policy design in complex systems. Key themes: Endogenous growth cycles, R&D network stability, and green transition policies. Methodological emphasis: Empirical validation of agent-based models and nonlinear economic dynamics. Scientific awards include collaboration with leading institutions like ETH Zurich, Columbia University, and OFCE Sciences Po. His publications appear in journals such as Journal of Economic Dynamics and Control and Ecological Economics .

Christian Erik Kampmannمشاهده پروفایل

دانشیار

• System dynamics analysis
• Sustainable energy development
• Electric mobility
• +۱ مورد دیگر

Christian Erik Kampmann is an Associate Professor at the Department of Strategy and Innovation, Copenhagen Business School. He holds a Ph.D. in Management from MIT and an engineering background from DTU, bridging technical rigor with socio-economic research. Education: MIT (Ph.D. in Management), DTU (Engineering) Research Interests focus on system dynamics as applied to sustainable energy transitions, electric mobility, and green urban mobility. His methodological work enhances structural dominance analysis and eigenvalue techniques for complex system modeling. Recent publications address feedback loop gains, market misperceptions of feedback, and comprehensive analytical approaches for policy modeling, reflecting his interdisciplinary focus on sustainability challenges. Teaching includes courses on system dynamics, sustainable business strategy, and quantitative business research, with supervision of theses on electric mobility and product-service sustainability. External engagements involve board membership (Magasin du Nord, 2018-2020) and computer modeling consultancy (Zerolytics, Whitebox).

Emiliano Casatiمشاهده پروفایل

مدرس

• Sustainable energy engineering
• Decarbonization of heat
• Solarization of high-temperature industrial processes
• +۳ مورد دیگر

Dr. Emiliano Casati is a Lecturer at the Department of Energy and Process Systems Engineering within the College of Mechanical and Process Engineering at ETH Zürich. His work focuses on sustainable energy engineering, particularly in decarbonizing high-temperature industrial processes and advancing solar thermal technologies. Research Interests: Sustainable energy engineering Decarbonization of heat Solarization of high-temperature industrial processes Thermal energy storage Conceptualization and prototyping of novel energy concepts Measurement of thermodynamic properties Publications Trends: Dr. Casati's recent research spans solar thermal systems (e.g., organic Rankine cycles, thermal trapping), computational tools for heat transfer simulation (FIVER), experimental thermodynamics, and industrial decarbonization. His work bridges historical analysis with cutting-edge technical innovation. Collaborations: He collaborates with leading experts like André Bardow (ETH Zürich) and Aldo Steinfeld (emeritus, ETH Zürich), contributing to multidisciplinary projects in renewable energy and process engineering.

Borjan Geshkovskiمشاهده پروفایل

پژوهشگر

• Control Theory
• Free Boundary Problems
• Fluid Mechanics
• +۳ مورد دیگر

Borjan Geshkovski is a Researcher affiliated with the Universidad Autónoma de Madrid (UAM) under a Marie Skłodowska-Curie fellowship at the Conflex Project. He has been associated with institutions such as FAU Erlangen-Nürnberg, University of Deusto, and the DyCon team during his academic journey. PhD in Control Theory (2021, UAM) MSc in Applied Mathematics (2016–2018, University of Bordeaux) BSc in Applied Mathematics and Computer Science (2012–2016, University of Bordeaux) His research focuses on the intersection of Control Theory and Free Boundary Problems in fluid mechanics, with recent explorations into Deep Learning from a mathematical control perspective. Key contributions include work on turnpike properties, optimal actuator design, and controllability of nonlinear PDEs. Scientific awards include the Best Review and Presentation Prize at the 2nd ConFlex workshop (2019). His publications span topics like neural ODEs, porous medium flows, and obstacle problems, reflecting collaborations with the DyCon team and ConFlex consortium.

• CP Violation
• B Quark Physics
• Standard Model
• +۵ مورد دیگر

Professor Guennadi Borissov is affiliated with the Department of Physics at Lancaster University , actively participating in the ATLAS experiment at CERN . His research focuses on CP violation in particles containing b quarks , aiming to explain the universe's matter-antimatter imbalance. Research Interests: Dr. Borissov investigates deviations from lepton flavor universality (LFU) using top quark decays to tauons. His work involves precision measurements of branching fractions and testing Standard Model predictions through ATLAS detector data . Recent Publications (2025): His contributions include studies on jet track functions, Higgs boson decays, W-boson cross-sections, and searches for new physics phenomena like heavy neutral leptons and long-lived particles. These articles emphasize Standard Model validation , CP violation , and detector performance . Grants & Projects: He is involved in responsive and consolidated grants funded by the STFC , supporting Lancaster's Experimental Particle Physics group and ATLAS-related research (2022–2026). PhD Supervision: Dr. Borissov supervises Beltran Fernandez Barbadillo , focusing on top quark decay measurements. Contact: Department of Physics, B016, B-Floor, Physics Building, Lancaster University. Email: g.borissov@lancaster.ac.uk .

• Computational Physics
• Biophysics
• Light-Harvesting Complexes
• +۷ مورد دیگر

Prof. Dr. Ulrich Kleinekathöfer is a Full Professor of Theoretical Physics at Constructor University (formerly Jacobs University Bremen) in the School of Science. His research focuses on computational physics and biophysics, particularly on light-harvesting complexes, membrane transport, and quantum dynamics in biological systems. He leads the Computational Physics and Biophysics research group and coordinates the MSCA Doctoral Training Network "PhotoCaM". His educational background includes: PhD from Max-Planck-Institut für Strömungsforschung, Göttingen (1996) Diploma in Physics from Universität Göttingen (1993) Habilitation in Physics from Technische Universität Chemnitz (2002) Prof. Kleinekathöfer's research spans multiple areas of computational biophysics and theoretical physics. His primary interests include excitation energy transfer in light-harvesting complexes , molecular transport through membrane channels and nanopores , and quantum dynamics in open systems . His group develops and applies advanced computational methods including molecular dynamics simulations, quantum chemistry calculations, and machine learning approaches to study these phenomena. A significant portion of his work focuses on photosynthetic systems, particularly how energy is transferred and converted in natural light-harvesting complexes, with implications for renewable energy technologies. His recent publications demonstrate a strong trend toward integrating machine learning with traditional computational methods, particularly in the fields of quantum chemistry and molecular dynamics. There's a clear focus on multifidelity approaches that balance computational efficiency with accuracy. His work spans from fundamental quantum dynamics to applied research on antibiotic transport mechanisms, showing remarkable breadth while maintaining depth in computational methodology development. His notable recognition includes: Tan Chin Tuan Exchange Fellowship, NTU Singapore (2019) Prof. Kleinekathöfer has supervised numerous PhD students and postdoctoral researchers, with a current group comprising several PhD candidates and research associates. His research is supported by multiple funding sources including the Deutsche Forschungsgemeinschaft (DFG), European Union through MSCA Doctoral Network PhotoCaM, and previously through the Innovative Medicines Initiative "Translocation" and Marie Curie Training Program "Translocation". His collaborative network spans internationally, with partnerships at institutions in Germany, USA, Greece, and Switzerland. The Computational Physics and Biophysics Group operates within Constructor University's research infrastructure, utilizing high-performance computing resources for their simulations. The group maintains active collaborations with experimental groups to validate and inform their computational models, creating a strong interdisciplinary research environment focused on understanding fundamental biophysical processes at the molecular level.

Wayne A Fullerمشاهده پروفایل

استاد پژوهشی

• Survey Methodology
• Sampling Statistics
• Measurement Error Models
• +۴ مورد دیگر

Wayne A Fuller is a Research Professor at Iowa State University , specializing in survey methodology and sampling statistics. His work focuses on advanced techniques for handling missing data, small area estimation, and measurement error models, with applications to agricultural surveys and public health research. Education: PhD in Statistics from Iowa State University Research Interests: Fuller's work bridges theoretical and applied statistics through: Development of fractional hot deck imputation methods Bootstrap techniques for variance estimation Small area prediction under constrained models Measurement error correction in health and agricultural data Time series analysis with autoregressive components Integration of administrative data with survey samples Publication Trends: His recent work emphasizes computational approaches to small area estimation (2016-2025), including bootstrap prediction intervals and benchmarking techniques, alongside methodological advancements in imputation and measurement error correction (2004-2015). Contact: Email: waf@iastate.edu Phone: 515-294-5830 Location: Ames, Iowa

Lyndia Wuمشاهده پروفایل

استادیار

• Biomechanical engineering
• Biomedical instrumentation
• Biomedical signal processing
• +۱۱ مورد دیگر

Lyndia Wu is an Assistant Professor in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science, where she holds the prestigious Canada Research Chair in Wearable Brain Injury Sensing. She leads the SimPL (Sensing in Biomechanical Processes Lab) and maintains an active research program focused on biomechanics and medical device development. Her educational background includes: B.A.Sc. from the University of Toronto M.S. from Stanford University Ph.D. from Stanford University Postdoctoral Fellowship from Stanford University Dr. Wu's research program centers on developing novel sensing and data analytics technologies to study human biomechanics in health and disease states. Her primary research areas encompass brain injury or concussion biomechanics using advanced sensing, modeling, and machine learning approaches, as well as the development of innovative sensors and algorithms for studying sleep disorders like obstructive sleep apnea. She specializes in wearable sensors for brain health monitoring, traumatic brain injury mechanisms, and AI applications in healthcare settings. Analysis of her recent publications reveals a strong focus on sports-related head impacts (particularly in soccer), EEG monitoring following impacts, and sleep monitoring after concussions. Her work demonstrates interdisciplinary collaboration across biomechanical engineering, neuroscience, and clinical medicine, with publications spanning biomechanics, neurotrauma, biomedical instrumentation, and signal processing domains. Dr. Wu has received significant recognition for her work, including: Scholar Award from the Michael Smith Foundation for Health Research (2019) Junior Faculty Teaching Award from UBC Mechanical Engineering (2022) She actively supervises graduate students in Mechanical Engineering programs (MASc and PhD) and collaborates extensively across disciplines. Dr. Wu is affiliated with multiple research centers including the Institute for Computing, Information and Cognitive Systems (ICICS), Origins of Balance Deficits and Falls, and SmarT Innovations for Technology Connected Health (STITCH), reflecting her interdisciplinary approach to solving complex biomedical challenges. As director of the SimPL lab, she leads a research team developing cutting-edge sensing solutions for biomechanical processes with particular emphasis on brain injury prevention, monitoring, and recovery assessment through innovative engineering approaches.