جست‌وجوی استاد و پژوهشگر

Michael Kofoedمشاهده پروفایل

استادیار

• Economics of Education
• K12 Policy
• Higher Education Finance
• +۶ مورد دیگر

Michael Kofoed is an Assistant Professor of Economics at the University of Tennessee at Knoxville , holding a joint appointment in the Department of Economics and the Boyd Center for Business & Economic Research within the Haslam College of Business . Previously, he served as Associate Professor of Economics and Associate Economics Program Director at the United States Military Academy at West Point . He earned his Ph.D. in Economics (2014) from the University of Georgia and a B.S. in Quantitative Economics (2009) from Weber State University. His research expertise spans the economics of education , K-12 policy , higher education finance , health economics , and applied microeconometrics . He is an IZA Research Fellow , visiting scholar at the Federal Reserve Bank of Philadelphia's Consumer Finance Institute , and invited researcher at J-PAL North America . His work has been published in journals such as the Journal of Public Economics , Journal of Human Resources , and Journal of Health Economics , with media coverage in the Wall Street Journal , Money Magazine , and Yahoo! Finance . Awards include the Superior Civilian Service Award and Meritorious Civilian Service Award (2023, Department of the Army), and the Swift Undergraduate Teaching Fellowship (2013, University of Georgia). His policy contributions address topics like veteran education benefits , financial aid administration , and online learning outcomes . Advising and Grants : Kofoed has advised on policy matters related to education finance and contributed to research funded by institutions like the Boyd Center. His work often intersects with military personnel economics and charitable giving behavior .

• Robotics
• Control Systems
• Sensor Networks
• +۵ مورد دیگر

Daniele Fontanelli is a Full Professor at the Department of Industrial Engineering , University of Trento, Italy. He holds a Ph.D. in "Automatics, Robotics, and Bioengineering" from the University of Pisa (2006) and a Laurea in Industrial Informatics (2001). He has taught courses such as Internet of Things , Distributed Measurement Systems , and Statistical Estimation at both Trento and Pisa. Research Interests: Robotics, human-robot interaction, signal processing for autonomous systems, UWB localization, distributed sensor networks, and smart grid measurement systems. His work spans mobile robotics, control theory, and embedded systems with applications in medical robotics, warehouse automation, and environmental monitoring. Scientific Contributions: Over 150 publications and leadership roles in European projects like AWARD2.0, SAFESTRIP, and ACANTO. He serves as Associate Editor in Chief for IEEE Transactions on Instrumentation and Measurement. Outstanding Associate Editor (2020) Most Productive Italian Reviewer (2020) Distinguished Service Award (2020)

• Human-Environment Interactions
• Urban Geography
• Environmental Exposure
• +۳ مورد دیگر

Age Poom is an Associate Professor in Urban Environment at the University of Tartu's Faculty of Science and Technology, within the Institute of Ecology and Earth Sciences. He holds a Doctor's Degree in Human Geography (2017) and a Research Master's in Environmental Studies (2010). His work focuses on human-environment interactions, urban geography, and sustainability science, utilizing novel data sources like GPS and smartphone tracking. Poom has held roles such as Programme Director for the MSc in Geoinformatics and led the Mobility Lab. He has authored over 49 publications, including works on environmental exposure, urban modality, and green routing tools like Green Paths. Awards include the University of Tartu's Badge of Distinction (2018) and multiple Best Lecturer recognitions. His administrative roles include editorial board memberships, research grants, and international collaborations. Education highlights include a PhD from Tartu University, MSc in Landscape Ecology, and BSc in Environmental Technology. Professional experience spans postdoctoral research at the University of Helsinki, editorial roles in journals like Big Data & Society, and extensive teaching in sustainable urban development, transport planning, and impact assessment. Research emphasizes environmental exposure during travel, green infrastructure, and equitable mobility solutions. Notable projects include the EU-funded HOPE initiative and development of the Green Paths routing tool. Administrative contributions include roles in editorial boards, grant advisory boards, and urban planning committees across Estonia and Finland.

• Fisheries Science
• Ecology
• Ecosystem Ecology
• +۴ مورد دیگر

Karin Limburg is a Distinguished Professor in the Department of Environmental Biology at the State University of New York College of Environmental Science and Forestry (SUNY ESF) and currently serves as a visiting professor at the Department of Aquatic Resources, Swedish University of Agricultural Sciences. Her interdisciplinary research bridges watershed science, fisheries science, ecosystem ecology, and ecological economics, frequently incorporating collaborations with physicists to address complex environmental challenges. Her primary research focus involves otolith biogeochemistry as a tool to reconstruct fish life histories and environmental exposures, particularly regarding deoxygenation, hypoxia, mercury contamination, and climate change impacts. She investigates how these stressors affect fish physiology, population dynamics, and ecosystem services across diverse systems including the Baltic Sea, Mekong River, Hudson River estuary, and North American freshwater ecosystems. Her work integrates field studies, laboratory analyses, and modeling to inform fisheries management and conservation strategies. Analysis of her recent publications reveals a dominant trend in using otolith chemistry as a natural recorder of environmental conditions, with significant emphasis on deoxygenation impacts in marine and freshwater systems. Her research spans biogeochemical analysis, population genetics, and policy-relevant studies on river restoration and natural area governance, demonstrating consistent innovation in methodological approaches to track fish responses to anthropogenic and climatic changes. Professor Limburg actively mentors six graduate students pursuing degrees in Environmental Biology, Fish & Wildlife Biology & Management, and Aquatic and Fisheries Science. Her collaborative research projects include investigations into hypoxia paradigms, river ecosystem responses to urbanization, and international efforts to address ocean deoxygenation. She maintains active partnerships across institutions and countries, reflecting her commitment to transdisciplinary solutions for aquatic ecosystem challenges.

• Measurement systems
• Instrumentation design
• Electromagnetic induction
• +۷ مورد دیگر

Wuliang Yin is a Reader in Electromagnetic Sensing and Instrumentation at the University of Manchester's School of Electronic and Electrical Engineering. His research focuses on measurement systems, electromagnetic induction, eddy currents, tomographic imaging, and non-destructive testing. He leads projects funded by EPSRC and the EU, including advancements in metal detector design and robotic inspection systems. Yin has over 400 publications and 20 patents, with notable awards such as the IEEE Instrumentation Society Best Application Award (2021) and Williams Awards (2014-2015). Current research interests include sensor-driven robotics, energy harvesting, and FPGA-based signal processing. He supervises 8 PhD students and 2 PDRAs, with former team members at institutions like Zhejiang University and Oxford. His work aligns with UN Sustainable Development Goals, particularly in advancing Digital Futures for industrial safety and efficiency. Key projects include the TSB-funded metal detector optimization (2014-2016), EPSRC-supported electromagnetic tensor imaging (2015-2018), and collaborations on robotic NDT systems like the FPGA-based EddyBot. Awards also include the 2000 Agilent Measurement Forum Excellent Paper Award and China’s National Scientific and Technical Progress Award (1999).

Nidhi Seethapathiمشاهده پروفایل

استادیار

• Human Movement Science
• Computational Neuroscience
• Biomechanics
• +۳ مورد دیگر

Nidhi Seethapathi is the Frederick A. (1971) and Carole J. Middleton Career Development Assistant Professor of Brain and Cognitive Sciences and Electrical Engineering and Computer Science at MIT. She holds a shared affiliation with the Schwarzman College of Computing. Her research focuses on building predictive computational models to understand human movement, integrating theory, modeling, and experimental approaches. Key areas include analyzing computational objectives in movement decisions (e.g., energy, stability, time), studying internal variables guiding locomotion control, and developing theories of adaptive motor learning. Her lab emphasizes practical applications in neuromotor rehabilitation and explores strategies to enhance learning efficiency. They employ a 'nails-not-hammers' approach, letting scientific questions drive methodological choices rather than vice versa. Current projects include markerless motion capture for gait analysis and developing therapeutic tools for Parkinson's disease using magnetoelectric nanodiscs. Seethapathi is actively recruiting graduate students, postdoctoral researchers, and undergraduates. The lab collaborates across disciplines, combining neuroscience, engineering, and computer science to advance translational research in movement science.

Eswar Prasadمشاهده پروفایل

استاد

• International Finance
• Monetary Economics
• Emerging Markets
• +۳ مورد دیگر

Eswar Prasad is Nandlal P. Tolani Senior Professor of Trade Policy at Cornell University's Dyson School, with affiliations at Brookings Institution and NBER. His research focuses on international finance, emerging markets, financial globalization, and digital currencies. Education: Ph.D. in Economics from University of Chicago (1992) Research examines monetary policy frameworks for emerging markets, effects of financial globalization, and digital currency revolutions. Current projects analyze central bank digital currencies and the evolving international monetary system. Publications include 'The Future of Money: How the Digital Revolution is Transforming Currencies and Finance' (2021) and 'Gaining Currency: The Rise of the Renminbi' (2016). Recent articles explore monetary policy transmission in emerging economies and media influences on capital flows. Policy engagement includes testimonies before U.S. Congressional committees on China currency issues, digital currencies, and financial regulation. Creates the Brookings-Financial Times TIGER index tracking global economic recovery.

Alice Thorneyworkمشاهده پروفایل

دانشیار

• Soft Matter Physics
• Nanotechnology
• Colloidal Science
• +۵ مورد دیگر

Alice Thorneywork is an Associate Professor of Physical Chemistry and Royal Society University Research Fellow at the University of Oxford, where she also serves as a Tutorial Fellow in Physical Chemistry at Lincoln College. Her research focuses on experimental soft matter and nanoscale systems, utilizing colloids, microfluidics, solid-state nanopores, and DNA nanotechnology to investigate fluctuations and transport in driven, out-of-equilibrium systems. Her educational background includes an undergraduate degree in Chemistry and a DPhil in Physical and Theoretical Chemistry, both completed at Christ Church, University of Oxford. Her doctoral research under Prof. Roel Dullens examined colloidal model systems for two-dimensional hard sphere fluids, earning her the 2019 RSC Statistical Mechanics and Thermodynamics Group Young Scientist Award. Thorneywork's research spans soft matter physics , nanotechnology , and non-equilibrium statistical mechanics , with emphasis on ionic transport in nanopores and microfluidic colloidal transport. She develops novel methods to decode noise signatures in nanofluidic systems and measures collective diffusion without particle trajectories, bridging single-particle to continuum-scale phenomena. Her work has direct applications in DNA sequencing, molecular sensing, and understanding biological transport mechanisms. Recent publications reveal a strong trend toward methodological innovation in analyzing fluctuations and transport, particularly through power spectral density interpretation and the development of the 'Countoscope' technique. Her research consistently connects experimental observations with theoretical frameworks to uncover universal behavior in non-equilibrium systems across diverse length and time scales. Notable scientific awards include: 2019 RSC Statistical Mechanics and Thermodynamics Group Young Scientist Award Oppenheimer Research Fellow (2018-2021) Royal Society University Research Fellowship ERC Starting Grant (now UKRI-funded) Thorneywork leads an active research group funded by the Royal Society and UKRI, collaborating closely with theoretical and computational physicists. Her group employs holographic optical tweezers and DNA origami to engineer nanoscale transport processes, with recent projects focusing on polymer adsorption in nanopores and colloidal capture dynamics in microfluidic channels. She actively mentors PhD students and postdoctoral researchers in advanced experimental techniques. Her laboratory within the Physical and Theoretical Chemistry Laboratory integrates colloidal model systems, microfluidics, and solid-state nanopores to probe fundamental physical phenomena. Current initiatives include functionalizing nanopores with DNA origami for precise transport control and applying mesoscale analysis methods to single-molecule biological experiments, positioning her group at the forefront of soft matter and nanoscale transport research.

• Robot Control
• Robotic Manipulation
• Human-Robot Interaction
• +۷ مورد دیگر

Yiannis Karayiannidis is an Associate Professor at the Department of Automatic Control, Lund University, affiliated with the Faculty of Engineering (LTH). He holds additional roles as Project Manager at the Department of Automatic Control and member of strategic profile areas like AI and Digitalization. He is also part of the ELLIIT initiative focusing on IT and mobile communication. His research spans robot control, human-centered manipulation, force control, and multi-agent systems. He teaches courses such as Non-linear Control and Mathematical Modeling at the graduate level. Education: Doctorate in Robotics/Automatic Control (PhD details not explicitly stated) His research focuses on advancing robotic systems in dynamic environments, including navigation, interaction, and adaptive control strategies. Key contributions include predictive models for obstacle avoidance and decentralized control schemes for multi-agent systems. He has supervised multiple PhD students and contributes to research infrastructure like RobotLab LTH. His work is supported through grants including the WASP program and EU-funded initiatives.

Ioan Andricioaeiمشاهده پروفایل

استاد

• Theoretical and Computational Physical Chemistry
• Molecular Biophysics
• Enhanced Sampling Techniques
• +۴ مورد دیگر

Ioan Andricioaei is a Professor in the Department of Chemistry at the University of California, Irvine (UCI), affiliated with the School of Physical Sciences. His research focuses on theoretical and computational molecular biophysics, particularly in developing novel sampling techniques and simulating biomolecular processes. Key areas include enhanced sampling in trajectory space, contractile tail dynamics, DNA-binding machines, and connections between molecular dynamics and NMR relaxation. Positions: Faculty member at UCI since his appointment, leading the Andricioaei Group. Education: Ph.D. in Theoretical Chemistry (not explicitly stated but inferred from research trajectory). Research Interests : His work bridges theoretical chemistry and biophysics, addressing challenges such as simulating rare events in biomolecules, understanding viral infection mechanisms via contractile tails, and modeling protein-DNA interactions. Techniques include weighted ensemble milestoning, stochastic path integrals, and massively parallel molecular dynamics. Advising & Collaborations: Supervises students like Dhiman Ray (Postdoc) and Moises Romero (PhD candidate). Collaborates with institutions like the Italian Institute of Technology and TeraGrid. Alumni include Gianmarc Grazioli (Assistant Professor at San Jose State) and Aaron T. Frank (Assistant Professor at University of Michigan). Labs/Teams: Directs the Andricioaei Group, which develops computational tools and applies them to problems in virology, drug delivery, and fundamental biophysical processes.

Endrowednes Kuantamaمشاهده پروفایل

مدرس

• Internet of Drones
• Autonomous Systems
• Robotics Control
• +۳ مورد دیگر

Dr. Endrowednes Kuantama is a Lecturer in IoT/Networking at Macquarie University's School of Computing, appointed in 2023. He holds a PhD from Oradea University, Romania, as an ERASMUS MUNDUS scholar. Previously, he served as an Assistant Professor at Kyungsung University, South Korea, and a Postdoctoral Research Fellow at Macquarie University. His research focuses on autonomous drones, IoT integration, sensor fusion, and robotics control systems. He leads projects like Deep Vision in Autonomous Underwater 3D Mapping and Bonding Through Coding , and contributes to the Drone Lab, exploring aerial manipulation, SLAM algorithms, and machine learning applications. He has authored 27 publications in journals, conferences, and books, and reviews for the Drone and Aerospace Journal . His work spans drone stability analysis, control systems, and payload delivery optimization. Key projects include Deep Vision in Autonomous Underwater 3D Mapping (2025-2026) Bonding Through Coding (2024-2025) His research emphasizes drone-based solutions for logistics, security, and environmental monitoring, with recent advancements in LiDAR-based tracking, cooperative drone systems, and emergency battery services.

Kari Kinnمشاهده پروفایل

استاد

• Linguistics
• Scandinavian Languages
• Syntax
• +۳ مورد دیگر

Kari Kinn is Professor of Scandinavian Linguistics at the University of Bergen's Department of Linguistic, Literary and Aesthetic Studies, specializing in syntactic variation in heritage Scandinavian languages. Her research examines morphosyntactic phenomena in Norwegian heritage languages (particularly North American contexts), including possession structures, argument placement, pronominal systems, and language contact effects. Key methodologies include corpus analysis, experimental tasks, and comparative linguistics. Recent publications analyze determiner phrase structures in North American Norwegian, V2 word order in Latin American contexts, and historical aspects of Norn. Her work demonstrates consistent focus on language change in diasporic communities and syntactic interfaces between heritage and homeland varieties. No information is available regarding scientific awards, student advising, or laboratory affiliations.

Mehmet Canerمشاهده پروفایل

استاد

• Econometrics
• Empirical International Finance
• High-Dimensional Econometrics
• +۲ مورد دیگر

Dr. Mehmet Caner is a Professor in the Department of Agricultural and Resource Economics at North Carolina State University's College of Agriculture and Life Sciences. Previously at Ohio State University (2015-2019), he specializes in econometrics with research emphasis on empirical international finance and high-dimensional econometric testing. He serves as associate editor for multiple leading journals including Journal of Econometrics and Journal of Business and Economic Statistics. His methodological innovations focus on high-dimensional econometrics, particularly developing testing frameworks for models with large parameter spaces. Research extends to applications in financial portfolio optimization, market integration analysis, and machine learning incentive structures. Recent publications (2020-2024) demonstrate strong emphasis on LASSO-based inference, deep learning integration in factor models, and constrained portfolio analysis under high-dimensional complexity. Education: Ph.D. Economics, Brown University (1996) A.M. Economics, Brown University (1993) Bachelor of Science Business Administration, Middle East Technical University (1988) Scientific Awards: Research Award, NC State University Research Award, University of Pittsburgh

• Cryptography
• Applied Cryptography
• Cloud Security
• +۳ مورد دیگر

Dr. Hui Cui is a Lecturer in the Department of Software Systems & Cybersecurity at Monash University's Faculty of IT. She holds a PhD in Privacy Preserving Public Key Cryptography from the University of Wollongong (Australia). Prior to Monash, she held academic roles at Murdoch University and research positions at Singapore Management University, RMIT University, and Data61, CSIRO. Her research focuses on Cryptography, Applied Cryptography, Cloud Security, IoT Security, and Blockchain Security. She is currently leading and collaborating on projects such as blockchain-based energy trading frameworks, ethical digital credential systems, and secure identity management in decentralized applications. Dr. Cui has contributed over 60 peer-reviewed publications and actively supervises PhD students. Education: PhD in Cybersecurity (University of Wollongong), prior research fellowships at Singapore Management University and Data61. Research interests emphasize cryptographic protocols for secure systems, blockchain applications in logistics and education, and IoT security frameworks. Her work aligns with UN SDGs related to affordable and clean energy (SDG 7) and industry innovation (SDG 9). Recent projects include blockchain-powered peer-to-peer energy trading systems, ethical frameworks for digital credentials, and secure identity management in blockchain environments. She collaborates internationally with institutions like DFAT (Australia) and Algorand. Grants and funding: Principal Investigator on multiple Australian Research Council projects totaling over AUD 2M, including blockchain energy trading (2024-2025) and ethical credential systems (2024-2026).

Randall Pykeمشاهده پروفایل

مدرس ارشد

• Mathematical Physics
• Dynamical Systems
• Nonlinear Waves
• +۳ مورد دیگر

Randall Pyke is a Senior Lecturer in the Department of Mathematics at Simon Fraser University (SFU), based at the Surrey campus. He holds a Ph.D. in Mathematics from the University of Toronto (1996). His academic roles include teaching and research in mathematical physics, dynamical systems, and industrial mathematics. He is a key contributor to SFU’s Operations Research programs, including the BSc, MSc, and PhD tracks, and has been involved in designing curricula for industrial mathematics and mathematical modeling. His research interests span nonlinear wave equations, soliton dynamics, partial differential equations in image processing, and wavelets in signal processing. He has supervised numerous student projects in operations research, optimization, and applied mathematics, highlighted in journals like Analytics Now . He is affiliated with the CORDS (Centre for Operations Research and Decision Sciences) and actively participates in industrial mathematics workshops. Pyke teaches courses on fractals, chaos theory, differential equations, and linear algebra. He emphasizes the practical applications of mathematics in interdisciplinary contexts. His work includes developing educational materials for first-year students and advising on career paths in mathematics. Notable student projects supervised by him address real-world challenges like airline scheduling, water distribution optimization, and telecommunication infrastructure planning. While no scientific awards are explicitly listed, his contributions to academic programs and student mentorship reflect his impactful role in advancing applied mathematics education and research.