جست‌وجوی استاد و پژوهشگر

• Nonlinear Dynamics
• Model Reduction
• Data-Driven Modeling
• +۴ مورد دیگر

George Haller is a Professor at the Department of Mechanical and Process Engineering at ETH Zurich . He leads the Institute of Mechanical Systems and holds the Chair in Nonlinear Dynamics . His research focuses on: Nonlinear dynamical systems theory Data-driven model reduction Spectral submanifolds (SSMs) Coherent structure identification in fluids and solids Control of complex nonlinear systems His recent work emphasizes equation- and data-driven modeling across solids, fluids, and control systems . Key contributions include: SSMTool - a MATLAB package for nonlinear model reduction SSMLearn - open-source software for data-driven modeling Transport barrier detection algorithms with oceanographic applications Scientific accolades include: 2025 Lyapunov Award (ASME) 2023 Stanley Corrsin Award (APS) Fellowships: ASME, APS, SIAM External Member, Hungarian Academy of Sciences His group has trained notable alumni: Thomas Breunung (Assistant Professor, University of Wisconsin-Madison) Shobhit Jain (Assistant Professor, Delft University of Technology) Mattia Serra (Assistant Professor, UCSD) Publications span Nonlinear Dynamics, Nature Communications , and Physical Review Fluids , with a 2025 book Modeling Nonlinear Dynamics for Equations and Data (SIAM Press). Current projects include: Reduced-order modeling of fluid-structure interactions Control of soft robots via nonlinear dynamics Identifying material barriers in turbulence

Roger Herbertمشاهده پروفایل

مدرس ارشد

• Hydrology
• Hydrogeology
• Biogeochemistry
• +۹ مورد دیگر

Roger Herbert is a Senior Lecturer in Hydrology and Associate Professor in Biogeochemistry at the Department of Earth Sciences, Uppsala University, where he also serves as Director of the Civil Engineering program in Environmental and Water Engineering. His research is centered on biogeochemical processes in water-saturated systems, particularly focusing on denitrification in bioreactors, groundwater remediation, and contaminant transport in double porosity media. His research interests include: Denitrification in woodchip and biochar bioreactors Groundwater and mine drainage treatment Reactive transport modeling in porous media Arsenic speciation and uptake in plants Silica nanoparticle interactions in soil-plant-water systems Microbial controls on nitrogen cycling and greenhouse gas emissions His recent publications (2023–2025) demonstrate a strong focus on innovative bioremediation technologies for wastewater and mine drainage, particularly using biochar and woodchip systems. These works emphasize modeling, microbial ecology, and field-scale applications, showing a consistent trend toward sustainable and scalable solutions for water quality challenges in cold climates and industrial settings. Roger Herbert leads the EIT RawMaterials project NITREM, which aims to upscale bioreactor technology for the mining and quarrying industry. He has supervised or collaborated on numerous studies related to mine waste treatment and environmental impact mitigation. He is actively involved in collaborative research projects and has published extensively in high-impact journals such as Water Research , Journal of Environmental Quality , and Environmental Science & Technology . His work bridges experimental studies, field applications, and numerical modeling, contributing significantly to environmental engineering and hydrogeology.

Marcus Bellamyمشاهده پروفایل

دانشیار

• Supply Chain Management
• Sustainable Operations
• Innovation
• +۶ مورد دیگر

Marcus Bellamy is an Associate Professor of Operations and Technology Management at the Questrom School of Business, Boston University . His research focuses on innovation , environmental sustainability , and performance dynamics in supply networks, using empirical models to analyze spatial resource proximity and interdependence. Education : PhD in Operations & Technology Management from Georgia Tech (2015), MS in Industrial Engineering (2010), BS in Aerospace Engineering from University of New Mexico (2006). His research bridges supply chain structure with outcomes like CSR practices , resilience , and economic welfare . He employs visual analytics and computational tools to study industries ranging from automotive to electronics , addressing policy impacts and platform economies like Uber . Recent work trends include analyzing two-sided sharing platforms , environmental disclosure in supply chains, and network resilience under risks. His empirical studies often integrate spatial spillovers and collaborative ecosystems . Scientific Awards : Isabel Anderson Career Development Professorship 2019 AOM Best Paper in Supply Chains 2013 AOM Operations Management Division Best Student Paper Fulbright Scholar (Madrid, Spain) NSF STEP Fellow Bellamy has served as a founder of the PhD Project Committee under the White House Initiative on Hispanic Education and collaborated with corporations like Lockheed Martin and General Motors on supply chain risk & resilience. His methodological contributions include interactive visual analytics systems for network evaluation.

Paul Lohmannمشاهده پروفایل

پژوهشگر ارشد

• Behavioural Economics
• Environmental Economics
• Public Policy
• +۵ مورد دیگر

Dr. Paul Lohmann is a Postdoctoral Research Fellow at the El-Erian Institute of Behavioural Economics and Policy within Cambridge Judge Business School, University of Cambridge. His work bridges applied economics with behavioural and environmental policy, focusing on causal analysis of climate-related stressors and interventions. PhD in Behavioural Environmental Economics, University of Cambridge MPhil in Environmental Policy, University of Cambridge His research explores how human decision-making and well-being respond to climate change through interdisciplinary methods, including microeconometrics and randomised controlled trials. Key themes include sustainable food policy, air pollution impacts, and policy instrument evaluation. Recent publications highlight his expertise in field experiments, with studies on carbon footprint labelling, choice architecture in food delivery apps, and air pollution’s effects on health expenditures and social behaviour. His work often quantifies causal relationships between environmental stressors and human responses.

• immigration
• cross-border innovation
• technological change
• +۵ مورد دیگر

Britta Glennon is an Assistant Professor of Management at the Wharton School of the University of Pennsylvania and a Faculty Research Fellow at the National Bureau of Economic Research (NBER). Her work bridges economics, management, and public policy, focusing on how immigration and cross-border innovation shape economic outcomes. Dr. Glennon received her educational training from prestigious institutions: Ph.D. in Public Policy and Management from Carnegie Mellon University M.P.P. in Public Policy from the University of Chicago B.A. in Economics and East Asian Studies from Cornell University Her research program explores the intersection of immigration policy, innovation, and multinational business strategy. Dr. Glennon has significantly advanced understanding of how skilled immigration affects firm performance, how immigration restrictions lead to offshoring of R&D activities, and how geopolitical tensions impact international scientific collaboration. Her methodology combines rigorous econometric analysis with rich datasets spanning immigration records, corporate activities, and scientific publications. She demonstrates how immigration policies shape the global geography of innovation and how multinational firms strategically respond to constraints on skilled labor mobility. Analysis of Dr. Glennon's publications reveals consistent examination of immigration policy's economic implications through multiple lenses - from macro-level effects on innovation geography to micro-level impacts on individual scientists and firms. A recurring theme is the interconnectedness of global talent flows and innovation ecosystems, demonstrating how policy changes in one country trigger complex adjustments across international borders. Her most recent work increasingly focuses on geopolitical dimensions of scientific collaboration, particularly U.S.-China research relationships. Dr. Glennon's scholarly contributions have been recognized with: Finalist, INFORMS/Org Science Dissertation Proposal Competition (2018) Her research has attracted significant external attention. She has testified as an expert witness before the U.S. Senate Committee on the Budget regarding 'Unlocking America's Potential: How Immigration Fuels Economic Growth and Our Competitive Advantage.' Her work has been cited in Congressional Testimony and has influenced policy debates on immigration and innovation. She maintains active collaborations with researchers at NBER and has contributed to influential policy briefs for organizations like the Peterson Institute. As a Faculty Research Fellow at NBER, Dr. Glennon participates in a vibrant research community focused on economic policy analysis. Her work connects with broader initiatives examining globalization, innovation, and labor markets. She regularly presents her research to academic audiences and policy makers, translating complex economic findings into actionable insights for business leaders and government officials.

Lili Qiuمشاهده پروفایل

استاد

• Internet Networking
• Wireless Networking
• Mobile Systems
• +۶ مورد دیگر

Lili Qiu is a Professor in the Department of Computer Science at The University of Texas at Austin, where she has been a faculty member since January 2005. She is an active member of the Wireless Networking and Communications Group (WNCG) and has made significant contributions to the field of networking research. Dr. Qiu previously spent 2001-2004 as a researcher at Microsoft Research in Redmond, WA, before joining UT Austin. Dr. Qiu's research spans Internet and wireless networking with a current focus on wireless network management and content distribution in mobile networks. Her work extends into diverse applications including acoustic imaging, metasurface applications, healthcare sensing technologies, and AI systems. She has pioneered research in areas such as acoustic motion tracking, passive RFID sensing, and wireless network optimization. Her research demonstrates a consistent pattern of innovation that bridges theoretical networking concepts with practical real-world applications, particularly in mobile and wireless systems. Her extensive publication record shows a clear evolution from fundamental networking research to increasingly interdisciplinary work that combines wireless systems with healthcare applications, AI, and novel sensing technologies. Recent publications demonstrate growing integration of machine learning techniques with traditional networking problems, as well as expansion into healthcare applications like Parkinson's disease modeling and non-invasive glucose monitoring. ACM Fellow IEEE Fellow National Academy of Inventors (NAI) Fellow ACM Distinguished Scientist NSF CAREER award Google Faculty Research Award Best paper award at ACM MobiSys'18 Best paper award at IEEE ICNP'17 Dr. Qiu has supervised numerous students, including a PhD dissertation that won the SIGMOBILE best dissertation award in 2020. She has served in significant leadership roles including chair of ACM SIGMOBILE, General co-chair for ACM MobiCom 2025, and various conference chair positions for IEEE ICNP, ACM CoNEXT, and other major networking conferences. Her research has been supported by substantial grants from NSF, Google, and other organizations, enabling her to lead cross-disciplinary research teams. As a member of the Wireless Networking and Communications Group at UT Austin, Dr. Qiu leads research efforts that combine networking expertise with innovations in sensing technologies, metasurfaces, and AI systems. Her lab has produced numerous influential results in mobile networking, wireless sensing, and network management, with applications spanning healthcare, consumer electronics, and communication infrastructure.

Bogusława Whyattمشاهده پروفایل

استاد

• Psycholinguistics
• Translation Studies
• Translation Process Research
• +۵ مورد دیگر

Bogusława Whyatt is a Professor at the Faculty of English, Adam Mickiewicz University, Poznań. She holds a D.Litt. in linguistics (2014), Ph.D. in English (2000), and MA in English (1992) from Poznań institutions. Her academic profile spans psycholinguistics, translation studies, and cognitive approaches to translation processes. Key research themes include: Translation process dynamics and directionality effects Eye-tracking applications in translation reception studies Development of translation competence and pedagogy Psycholinguistic analysis of language processing Metacognitive skill transfer between translation and paraphrasing Recent publications focus on cognitive effort metrics, directionality impacts, and empirical methodologies combining eye-tracking and key-logging data. She leads major projects like Read Me (2021-2025) and EDiT (2016-2019), examining translated text reception and translation directionality respectively. Scientific honors include three consecutive Adam Mickiewicz University Rector's Awards for Organizational Excellence (2018, 2023, 2024). She supervises PhD research in translation cognition and has mentored four doctoral candidates to completion. Active in professional networks like the MC2 Lab and TREC consortium, she contributes to cognitive translation studies through methodological innovations and international conference organization. Her methodological expertise includes psychometrics, EEG research, and ATLAS.ti data analysis tools.

Tamas Monaمشاهده پروفایل

پژوهشگر

• Epidemiology
• Plant Pathology
• Meteorology
• +۵ مورد دیگر

Dr. Tamas Mona is a Postdoctoral Research Associate in the Department of Plant Sciences at the University of Cambridge , affiliated with the Epidemiology and Modelling Group . His work focuses on environmental suitability models for large-scale epidemiological forecasting, particularly in wheat rust outbreaks across Africa, the Middle East, and Asia. Collaborations include the UK Met Office, CIMMYT, and institutions in Ethiopia, Kenya, Bangladesh, and Nepal. PhD in Environmental Sciences (2019), Eötvös Loránd University MSc in Meteorology (2013), Eötvös Loránd University BSc in Physics with Meteorology (2011), Eötvös Loránd University Research interests integrate meteorological applications with epidemiological models to predict crop disease outbreaks. Key projects involve tracking transmission pathways for stem rust pathogens and analyzing how irrigation creates green bridges for intercontinental pathogen spread. Publications emphasize environmental science and computational epidemiology . Current collaborations span Sub-Saharan Africa (EIAR, ATI, KARLO) and South Asia (BWMRI, NARC) through initiatives like the Global Food Security IRC . Modeling frameworks developed by Mona contribute to policy advisory systems for emerging pest threats, aligning with DEFRA and UK government strategies.

• Gas turbine combustion
• Internal combustion engines
• Laser-based spectroscopy
• +۵ مورد دیگر

Sameer Naik is a Senior Lecturer at the School of Mechanical Engineering , Purdue University, where he has been actively involved in research since his Ph.D. graduation from Purdue in 2004. His work bridges fundamental combustion science and applied engineering for energy systems. Ph.D., Purdue University, 2004 Dr. Naik's research focuses on gas turbine combustion and internal combustion engines , utilizing advanced laser-based spectroscopy techniques for diagnostics. His expertise spans thermodynamics , combustion chemistry , and environmental impact analysis in propulsion systems. His publication record (10+ peer-reviewed articles) demonstrates technical leadership in laser-induced fluorescence applications, CARS spectroscopy , and high-pressure combustion analysis . These works address critical challenges in sustainable energy and transportation technologies , particularly in reducing emissions from gas turbines. Contact: naiks@purdue.edu

Carsten Flakeمشاهده پروفایل

پژوهشگر

• Chemical Engineering
• Thermophysical Properties
• Raman Spectroscopy
• +۳ مورد دیگر

Dr. Carsten Flake is a researcher at the Institute of Energy and Process Engineering at ETH Zurich, where he joined the Energy and Process Systems Engineering Group led by Professor André Bardow in 2021. His work focuses on developing advanced measurement techniques for thermophysical properties using Raman spectroscopy approaches. Previously, he completed his PhD at RWTH Aachen University in Germany under the supervision of Professor André Bardow. Dr. Flake's educational background includes: Mechanical Engineering with a major in Chemical Engineering at RWTH Aachen University, Germany PhD completed in 2021 for dissertation titled 'Automated Measurement, Modeling and Interpretation of Diffusion Coefficients in Aqueous Multicomponent Mixtures' Dr. Flake's research primarily centers on leveraging Raman spectroscopy to measure thermophysical properties in chemical engineering applications. His work involves developing automated platforms for measuring vapor-liquid equilibrium, liquid-liquid equilibrium, and diffusion coefficients in multicomponent systems. He has made significant contributions to process analytical technology, particularly for bioprocess monitoring and chemical process engineering applications. An analysis of Dr. Flake's publications reveals a consistent focus on the application of Raman spectroscopy for thermophysical property measurements. His work spans from fundamental studies of diffusion phenomena to practical applications in bioprocessing and refrigeration systems. The research demonstrates a progression toward more automated and integrated measurement systems, often incorporating microfluidic technologies for improved precision and efficiency in characterizing complex chemical mixtures. At ETH Zurich, Dr. Flake has contributed significantly to planning and establishing experimental laboratories, overseeing their startup and implementation. His work supports the Energy and Process Systems Engineering Group's mission to advance sustainable process engineering solutions through innovative measurement and modeling approaches.

Chris F. Kemererمشاهده پروفایل

استاد

• Management of Information Systems
• Software Engineering
• Measurement and Modeling
• +۲ مورد دیگر

Chris F. Kemerer is the David M. Roderick Professor of Information Systems and Professor of Business Administration at the University of Pittsburgh's Katz School. He previously served as an associate professor at MIT Sloan School of Management and as a principal at American Management Systems Inc. PhD in Systems Sciences (Information Systems), Carnegie Mellon University BS (magna cum laude) in Economics and Decision Sciences, Wharton School, University of Pennsylvania His research spans management and measurement issues in information systems and software engineering, including technical debt, software metrics, network effects, and technology adoption. He has made significant contributions to software design metrics and empirical analysis of IT markets. His publications over the last 15 years emphasize technical debt management, software reliability, standards competition, and economic dynamics in microcomputer software. These works bridge software engineering economics with real-world applications in enterprise systems and global markets. ISI/Thomson Reuters Highly Cited Researcher in Computer Science INFORMS Information Systems Society Distinguished Fellow He has secured grants from the National Science Foundation and IBM for software evolution research. His consulting includes expert testimony in landmark cases like Microsoft antitrust litigation and Oracle v. Google. He has taught courses in economics of information systems, software design, and technology diffusion at the PhD, Executive DBA, MBA, and EMBA levels.

Xuming Heمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۹ مورد دیگر

Xuming He is an Associate Professor at the School of Information Science and Technology (SIST), ShanghaiTech University, where he leads the PLUS Lab. His research spans computer vision and machine learning with a focus on developing algorithms that operate effectively under limited supervision and evolving data conditions. His core research interests include weakly-supervised and few-shot learning for scenarios with sparse annotations, continual learning frameworks for knowledge retention during sequential task acquisition, semantic segmentation techniques for scene understanding, and multimodal vision-language representations. He emphasizes interpretable machine learning to build transparent AI systems capable of human-understandable reasoning, addressing critical challenges in model trustworthiness and deployment reliability. Recent publications reveal strong trends toward novel class discovery in long-tailed recognition scenarios, physics-informed generative modeling for scientific applications, and robust segmentation under distribution shifts. His work increasingly integrates large language models for multimodal reasoning while maintaining focus on efficiency in resource-constrained environments like robotic grasping and medical imaging analysis. He actively mentors students, having supervised Qian He to PhD completion and Chuanyang Hu to Master's degree in 2023. He welcomes prospective graduate students through ShanghaiTech's Computer Science & Technology program and offers undergraduate research projects requiring minimum six-month commitments. The PLUS Lab under his direction drives innovation in learning under supervision constraints, with recent work spanning medical tumor analysis, cross-view geolocation, photonic computing, and semiconductor design verification. The lab's research bridges theoretical advances with practical applications across healthcare, robotics, and scientific discovery domains.

Teemu Turunen-Saarestiمشاهده پروفایل

استاد

• Energy and Power Engineering
• Renewable Energy
• Sustainability and the Environment
• +۶ مورد دیگر

Teemu Turunen-Saaresti is a Tenured Professor at the School of Energy Systems , LUT University , Lappeenranta, Finland. His research focuses on energy technology, particularly supercritical CO2 cycles, Organic Rankine Cycles (ORC), turbomachinery, and heat pump design. PhD in Energy and Environmental Technology (2004), Lappeenranta University of Technology MSc in Energy and Environmental Technology (2001), Lappeenranta University of Technology His work spans Supercritical CO2 Power Cycles , Organic Rankine Cycle Systems , Turbomachinery Design , and Non-Equilibrium Condensation Modeling . Recent studies include printed circuit heat exchangers for transcritical cycles, high-temperature ORC thermal inertia, and centrifugal compressor design for large-scale CO2 heat pumps. Publications highlight trends in sCO2 Turbines , Tip Clearance Effects , and Multiphase Flow Simulation . Funding from the Academy of Finland and Business Finland supports his research on computational/experimental condensing flows, small-scale compressors, and green shipping energy solutions. He collaborates with international teams on projects like the International Wet Steam Modeling Project , contributing to guidelines for high-temperature heat pumps (IEA HPT Annex 58) and advancements in hydrogen compression strategies.

• Wireless Sensing
• Radar Technology
• Machine Learning
• +۷ مورد دیگر

Kevin Chetty is a Professor of Wireless Sensing at University College London (UCL), leading the Urban Wireless Sensing Lab within the Department of Security and Crime Science. His work bridges radar technology, machine learning, and healthcare applications, with a focus on passive sensing systems. Education: PhD in Medical Ultrasound Physics (Imperial College London, 2004-2007), MRes in Image and X-Ray Physics (King's College London, 2003), BSc in Physics (King's College London, 1999) Research spans radar micro-Doppler signature analysis for human behavior classification, software-defined radar development, and integrated communication-sensing systems, with applications in security, healthcare, and smart environments. Recent work emphasizes privacy-preserving technologies and edge processing for real-time operations. Scientific awards include the 2022 IET Radar Systems Best Paper Runner-Up, 2022 IEEE Radar Conference 2nd Place, and 2015 National Instruments Engineering Impact Award. He has received funding from government and industry sectors in telecommunications, IoT, security, and healthcare. Teaching roles: Programme Convener for MSc Crime Science and IEP Minor in Crime and Security Engineering; Module Convener for Security Technologies and Crime Mapping & Spatial Analysis Consultancy: Huawei Technologies (2020-2022), Metropolitan Police Service (2019)

Georg Garnweitnerمشاهده پروفایل

استاد

• Nanomaterials Synthesis
• Non-aqueous Nanoparticle Formation
• Solid-State Battery Materials
• +۵ مورد دیگر

Prof. Dr. Georg Garnweitner is a full Professor of Nanomaterials at the Institute for Particle Technology , Faculty of Mechanical Engineering, Technische Universität Braunschweig. He has served as Dean of Studies since 2023, DFG Liaison Lecturer since 2021, and head of the Laboratory for Emerging Nanometrology (LENA) board since 2013. University Professorship in Nanomaterials (2013–present) Junior Professorship in Nanoparticles/Nanocomposites (2007–2013) Research at Max Planck Institute (2005–2006) His research focuses on nanomaterial synthesis , non-aqueous nanoparticle formation , and energy storage materials , particularly for lithium-sulfur batteries. He also explores drug delivery systems using silica aerogels and optofluidic particle analysis . His work combines materials science , surface chemistry , and advanced characterization techniques . Recent publications highlight breakthroughs in solid-state electrolyte design (2023), solvent-free drug loading (2022), and nanoparticle migration dynamics (2020). He contributes to crystal engineering (2021) and population balance modeling (2017) for nanoparticle formation.