جست‌وجوی استاد و پژوهشگر

• Low Energy Nuclear Reaction (LENR)
• Metal Hydride Thermal Energy Conversion
• Direct Borohydride Fuel Cell Systems
• +۳ مورد دیگر

Kyu-Jung Kim is an Adjunct Lecturer and Visiting Research Assistant Professor at the University of Illinois at Urbana-Champaign's Department of Nuclear, Plasma, and Radiological Engineering. He holds a PhD in Technical Science from the Belarusian National Academy of Sciences and has held roles at INHA University (South Korea), LG Electronics, and multiple research institutes. His research focuses on Low Energy Nuclear Reactions (LENR), metal hydride thermal energy conversion, and direct borohydride fuel cell systems, with notable contributions to fuel cell efficiency, nanoparticle catalysis, and space power applications. Education: BS (1989) and MS (1991) in Mechanical Engineering from INHA University, Korea; PhD (2000) in Technical Science from Belarusian National Academy of Sciences. His career spans academic and industrial roles, including Chief Research Engineer at LG Electronics and advisory positions at Proton Scientific and Controlled Thermal Energy Engineering. Research interests emphasize advanced energy systems, including LENR-based power units, thermal wave phenomena in porous media, and fuel cell innovation. Recent work explores nanoscale catalysts for LENR, regenerative energy storage, and hydrogen-based technologies. His over 50 peer-reviewed articles and patents cover fuel cell design, thermal management, and energy conversion systems. Honors include LG Electronics' Innovative Idea Award (2006) and recognition as 'Great Man of The Month' (2003). He actively consults for energy companies and serves on scientific advisory boards. His interdisciplinary approach bridges nuclear engineering, materials science, and sustainable energy solutions.

Andrew Heinمشاهده پروفایل

استادیار

• Computational Biology
• Theoretical Ecology
• Behavioral Ecology
• +۳ مورد دیگر

Andrew Hein serves as Assistant Professor in the Department of Computational Biology at Cornell University's College of Agriculture and Life Sciences (CALS), where his research bridges behavior, ecology, and neurobiology through computational frameworks. His lab investigates how organisms process environmental information and how these mechanisms scale to influence ecological interactions and ecosystem dynamics, with significant emphasis on developing AI-driven tools for behavioral data acquisition. Hein earned his PhD in theoretical and computational biology from the University of Florida under Jamie Gillooly (Biology) and Scott McKinley (Mathematics), followed by a James S. McDonnell postdoctoral fellowship at Princeton University with Simon Levin and Iain Couzin. From 2016-2022, he founded and directed the Ecology of Information Lab jointly operated by NOAA's Santa Cruz Laboratory and UC Santa Cruz' Institute of Marine Sciences. His research focuses on computational models of information flow in biological systems, particularly examining how socially transmitted misinformation spreads in wildlife, behavioral responses to environmental change, and neural mechanisms underlying collective behavior. The lab pioneers computer vision applications for ecological monitoring and integrates fluid dynamics with machine learning to decode animal migration strategies, emphasizing real-world data applicability. Recent publications demonstrate a trajectory toward AI-enhanced ecological research, with studies in PNAS and Current Biology addressing misinformation suppression in animal groups, machine learning transparency for marine science, and behavioral feedback loops in changing ecosystems. This work reveals growing interdisciplinary convergence between computational methods and ecological theory. Hein's scientific recognition includes: Presidential Early Career Award for Scientists and Engineers (2025) NSF CAREER award (2024) US National Academy of Science Cozzarelli Prize James S. McDonnell Postdoctoral fellowship National Science Foundation IGERT fellowship National Science Foundation graduate research fellowship The Hein Lab actively mentors graduate and undergraduate researchers through Cornell's Computational Biology program, with current projects funded by multiple agencies: NSF Rules of Life grant on "multivalent" biological interactions NOAA initiative developing underwater machine vision tools NSF research on attack/evasion behavior robustness Based in Cornell's Atkinson Hall, the Hein Lab operates as a collaborative hub where biologists, computer scientists, and engineers develop computational frameworks to decode behavioral algorithms in natural systems, with ongoing work expanding AI applications for ecological forecasting and conservation.

Joshua Bostwickمشاهده پروفایل

دانشیار

• Surface Tension
• Wetting
• Drops
• +۹ مورد دیگر

Dr. Joshua Bostwick is an Associate Professor in the Department of Mechanical Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. He joined Clemson in January 2016 after appointments as Golovin Assistant Professor at Northwestern University and postdoc researcher at NC State University, focusing on interfacial fluid mechanics with industrial and biological applications. Education: Ph.D., Theoretical and Applied Mechanics, Cornell University, 2011 B.S., Civil Engineering and Mechanics, University of Wisconsin-Milwaukee, 2005 B.S., Physics, University of Wisconsin-Milwaukee, 2005 His research centers on wetting phenomena and elastocapillarity—examining liquid interactions with soft substrates through mathematical modeling and experimentation. Key interests include surface tension-driven dynamics, pattern formation, soft matter physics, and interfacial instabilities. Current projects span droplet durotaxis, ultrasonic soldering, splashing on soft substrates, and granular raft mechanics, emphasizing fundamental physics with practical applications in microfluidics and manufacturing. Recent publications (2024-2025) reveal expanding work on granular-fluid systems, electrokinetic instabilities, and elastocapillary transitions, demonstrating cross-disciplinary impact in environmental remediation (oil spill cleanup), bioprinting, and semiconductor manufacturing. His group integrates theoretical frameworks with experimental validation across scales. Scientific Awards: NSF CAREER Award (2018) for elastocapillary fluid mechanics research Dr. Bostwick actively mentors graduate students and recruits researchers for his group, supported by federal grants including the NSF CAREER award. His ultrasonic soldering platform enables precise study of flux-free joining for dissimilar materials, with industry collaborations enhancing manufacturing applications. The research group collaborates with Clemson colleagues like X. Xuan on complex fluid microfluidics and develops experimental systems for studying droplet dynamics, soft fracture, and granular matter. Current initiatives include automated soldering platforms and investigations into mitochondrial membrane mechanics.

Kyongbum Leeمشاهده پروفایل

استاد

• Metabolic Engineering
• Tissue Engineering
• Systems Biology
• +۳ مورد دیگر

Kyongbum Lee is the Karol Family Professor and Dean of Engineering at Tufts University School of Engineering, where he also serves as Professor in the Department of Chemical and Biological Engineering. His research integrates metabolic engineering, tissue engineering, and systems biology to study cellular metabolism and develop technologies for biomedical applications. Dr. Lee directs a laboratory focused on host-microbe interactions, cell-based bioprocesses, and metabolic regulation in diseases like obesity. Education Ph.D., Massachusetts Institute of Technology, 2002 B.S., Stanford University, 1995 Research Focus Dr. Lee's group employs systems approaches combining experimental and computational methods to investigate how metabolites regulate cellular communication. Current projects examine gut microbiome interactions, metabolic flux in engineered tissues, and development of therapeutic strategies targeting metabolic disorders. The lab specializes in bioreactor systems, metabolomic profiling, and mechanistic studies of metabolite signaling pathways. Publication Trends Recent publications emphasize gut microbiota metabolism, microbial metabolite therapeutics, and engineered tissue models. Work consistently demonstrates translational focus—from computational prediction of metabolic pathways (e.g., flavonoid biotransformation algorithms) to preclinical validation of microbial metabolites in disease models (e.g., steatosis reduction via indole derivatives). Recurring themes include nuclear receptor modulation, HDAC/IFN-γ pathway regulation, and high-throughput screening platforms. Awards Karol Family Professorship (endowed position recognizing scholarly excellence) Research Operations The laboratory actively recruits postdoctoral researchers and graduate students through Tufts' Chemical and Biological Engineering program. Current projects are supported by specialized infrastructure for metabolomics, bioreactor systems, and 3D tissue culture. The team emphasizes interdisciplinary collaboration, particularly at the interface of engineering, microbiology, and translational medicine.

Kevin Tomsovicمشاهده پروفایل

استاد

• Power Systems Engineering
• Renewable Energy Integration
• Smart Grid Technologies
• +۶ مورد دیگر

Kevin Tomsovic is the Chancellor's Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, and Director of the CURENT Engineering Research Center. His expertise spans smart grids, power systems optimization, and cyber-physical resilience. He holds a PhD from the University of Washington (1987) and prior roles at Washington State University. Research focuses on renewable integration, microgrid scheduling, and grid security, with notable contributions to IEEE standards. Awards include IEEE Fellow status. Education: PhD/M.S. Electrical Engineering, University of Washington (1987/1984); B.S. Electrical Engineering, Michigan Tech (1982). Research interests include: - Intelligent systems for power distribution design - Electricity market analysis and stability control - Cybersecurity for grid infrastructure - Resilience quantification in energy systems Publications highlight advancements in grid emulation platforms, adversarial ML defenses, and microgrid optimization. His work is supported by NSF/DOE grants (e.g., NSF EEC-1041877). CURENT testbed facilities enable real-time grid control validation. Awards: IEEE Fellow (20XX). Grants & Collaborations: Lead CURENT NSF ERC; industry partnerships include power utilities and tech firms. Active in developing standards for grid resilience metrics. Labs/Teams: CURENT Engineering Research Center, UT Power Systems Lab.

Louis N. Cattafesta IIIمشاهده پروفایل

استاد

• Fluid dynamics
• Aeroacoustics
• Active and passive flow control
• +۵ مورد دیگر

Louis N. Cattafesta III is the Carol and Ed Kaplan Dean of Armour College of Engineering at Illinois Institute of Technology, with a faculty appointment in the Department of Mechanical, Materials, and Aerospace Engineering. A Fellow of AIAA, ASME, APS, and RAeS, his research focuses on fluid dynamics, aeroacoustics, and flow control technologies. Ph.D. in Mechanical Engineering, Penn State University (1992) M.S. in Aeronautics, MIT (1988) B.S. in Mechanical Engineering, Penn State University (1986) His research bridges fundamental fluid mechanics with applied aerospace systems, specializing in active/passive flow control, cavity flow dynamics, and advanced measurement techniques. Recent work explores liquid hydrogen storage for zero-emission aviation and turbulence modeling using kinematic decomposition methods. Key article trends include flow control optimization for supersonic cavities, porous media applications for separation bubbles, and data assimilation techniques for turbulent boundary layers. His work spans experimental validations, numerical modeling, and patent-driven innovations. Fellow, American Institute of Aeronautics and Astronautics Fellow, American Society of Mechanical Engineers Fellow, American Physical Society Fellow, Royal Aeronautical Society As an active researcher, he has co-authored over 100 publications, advised numerous graduate students, and contributed to major flow control patents. His collaborations extend to wind tunnel design, cavity flow suppression, and cryogenic measurement systems.

Maha Shaikhمشاهده پروفایل

دانشیار

• Open Source Software
• Public Sector Digital Transformation
• Information Systems Governance
• +۳ مورد دیگر

Maha Shaikh is an Associate Professor at the Department of Operations, Innovation and Data Sciences within Esade Business School , Ramon Llull University. She holds an ORCID identifier 0000-0001-5110-1619 and maintains an active research agenda across multiple domains of information systems and open technology.

Jovica Milanovicمشاهده پروفایل

استاد

• Power System Dynamics
• Power Quality
• Probabilistic Modeling
• +۴ مورد دیگر

Jovica Milanovic is a Professor in the School of Electrical and Electronic Engineering at the University of Manchester, where he leads the Electrical Energy and Power Systems research group. He holds a Dipl.Ing. and MSc in Electrical Engineering from the University of Belgrade, a PhD from the University of Newcastle, and a DSc from the University of Manchester. With over 600 publications, his research focuses on probabilistic modeling of power systems, renewable integration, and power quality. Research Expertise: Probabilistic assessment of uncertain power systems Machine learning applications for grid stability Demand side management in low-carbon networks Global power quality monitoring frameworks Awards & Leadership: FIEEE, FIET, and IEEE PES Distinguished Lecturer Editor-in-Chief of IEEE Transactions on Power Systems Chair of multiple international conferences including PowerTech 2017 Recipient of the Verriest Medal for contributions to power systems

Anne Templetonمشاهده پروفایل

مدرس ارشد

• Crowd Psychology
• Social Identity Theory
• Emergency Response
• +۵ مورد دیگر

Anne Templeton serves as a Senior Lecturer in Social Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. She holds a UKRI Future Leaders Fellowship and leads the research group Identities and Collective Behaviour . Her academic journey includes a PhD from Sussex, MSc from Surrey, and MA (hons) from St Andrews. Her research centers on applying social identity theory to crowd psychology, particularly examining how group dynamics influence safety during emergencies and mass events. Key focus areas include: psychological crowd modeling, first responder communication strategies, and incorporating social identities into evacuation simulations. She develops behavioral interventions to improve public adherence during crises through computational modeling and virtual reality experiments. Her 15 most recent publications reveal strong thematic consistency across emergency management, crowd dynamics, and social identity applications. Recent work emphasizes high-rise evacuation protocols, tunnel fire egress, COP26 protest support mechanisms, and bystander CPR interventions. The research demonstrates interdisciplinary integration of psychology, computational modeling, and public safety practice. Scientific Recognition: UKRI Future Leaders Fellowship (2022) Research Leadership: Principal Investigator for ESRC, DCMS, and Chief Nursing Office grants totaling over £1.8 million, including the £1.377m UKRI project on first responder communication strategies. Current supervision of four PhD students (Waleed Alhajri, Sam Vo, Sayaka Hinata, Kayleigh Smith). Her knowledge exchange extends through government advisory roles including the Scottish Government COVID-19 Behavioural Insights team (2021-2022), UK Department of Digital, Culture, Media and Sport Science Board (2021), and Sports Grounds Safety Authority consultation (2020). Media engagements feature BBC, Reuters, and The Conversation coverage of Hajj crowd safety and stadium atmosphere research.

Owen Williamsمشاهده پروفایل

عضو هیئت علمی

• Fluid Mechanics
• Turbulence
• Hypersonics
• +۵ مورد دیگر

Owen Williams is a Research Associate Professor in the William E. Boeing Department of Aeronautics and Astronautics at the University of Washington, with a focus on turbulent and hypersonic flows. He holds a PhD from Princeton University and an MEng from Imperial College, London. His research explores unsteady turbulent flows, hypersonic boundary layers, and renewable energy systems like rotating foils for hydrokinetic power generation. Dr. Williams has held prior positions, including Research Associate at the University of Maryland. His work addresses challenges in compressible turbulence, shock interactions, and flow separation dynamics. He leads the Williams Lab, which investigates turbulence modeling, flow control, and aerospace applications. Recent student achievements include Kevin Manohar's Herbold Fellowship and Abigale Snortland's graduation to PNNL. Research Interests: Fluid mechanics, turbulence dynamics, hypersonic flow physics, stratified atmospheric flows, and renewable energy systems. His lab focuses on improving predictive models for vehicular and environmental flows through experimental and computational methods. Recent Contributions: Studies on asymmetric flow phenomena, cross-flow turbine performance optimization, and supersonic retropropulsion. His work bridges fundamental turbulence studies with practical applications in aerospace and energy sectors. Lab Activities: Active in mentoring students and overseeing projects like the Pacific Marine Energy Center. Lab members have presented at SHARC Week and Space Grant's SURP program, showcasing innovations in hypersonic testing and turbine design.

Fredrik Henrikssonمشاهده پروفایل

استادیار

• Sustainable Product Development
• Material Selection in Product Development
• Renewable Materials
• +۳ مورد دیگر

Fredrik Henriksson is an Assistant Professor at Linköping University's Department of Management and Engineering (IEI), within the Division of Product Realisation (PROD). His work focuses on sustainable integrated product development, particularly addressing challenges in material selection and adoption in industries like automotive and construction. He actively contributes to curriculum development, emphasizing material-driven design education for engineering students to bridge theoretical knowledge with practical industry needs. Research Interests: His primary areas include sustainable materials innovation, decision-making processes in material selection, and the integration of production systems with product development. He explores barriers to adopting renewable materials such as wood-based solutions and investigates how production systems can adapt to circular material flows. His work also addresses industrial implementation challenges of new materials, including IoT integration in wood products and multi-material automotive body solutions. Key Contributions: His 2021 doctoral thesis highlighted the role of personal habits and biases in material selection decisions, reshaping perceptions of rationality in product development. He has developed case-study methodologies for engineering education that foster cross-disciplinary collaboration and industry-relevant problem-solving. His research outcomes are published in journals like International Journal of Sustainable Engineering and SAE International Journal of Materials & Manufacturing . Labs/Teams: He is affiliated with the Unit of Design and Product Development (PRODDOP), collaborating with the Product Realisation division to advance sustainable industrial practices. His work often involves industry partnerships to ensure real-world applicability of academic research.

• Scientific Computing
• Computational Fluid Dynamics
• Finite Element Methods
• +۳ مورد دیگر

Johan Jansson is an Associate Professor in Scientific Computing at KTH Royal Institute of Technology and BCAM (Basque Center for Applied Mathematics). He leads research in predictive Direct FEM Simulation (DFS) for aerodynamics and multiphase flows, and co-founded Icarus Digital Math as CEO. His work includes the FEniCS open-source finite element software project and MOOC-HPFEM educational initiatives. He holds roles as Director of the Center for Digital Math and collaborates internationally in computational science. Research focuses on high-performance computing (HPC), fluid-structure interaction (FSI), biomedical modeling, and renewable energy systems. Notable contributions include adaptive FEM frameworks for turbulent flow, vocal fold simulations, and wave energy converter modeling. His work bridges academic research with industrial applications, leveraging FEniCS-HPC and Unicorn solvers. Key achievements include election to the IVA Royal Swedish Academy of Sciences 100-list and securing the Severo Ochoa Center of Excellence Award. He has pioneered open-source tools like SimTek and contributed to major projects like the Salter Sink and vocal production modeling. Teaching responsibilities include courses on database technology, computational fluid mechanics, and research methodology. He actively engages in large-scale simulation projects involving marine energy, cardiac ablation protocols, and aerodynamic optimization.

Cynthia F. Mossمشاهده پروفایل

استاد

• Sensory coding
• Auditory neuroscience
• Spatial perception
• +۶ مورد دیگر

Cynthia F. Moss is a Professor in the Department of Psychological and Brain Sciences at Johns Hopkins University (JHU), with joint appointments in Neuroscience and Mechanical Engineering. She directs the Comparative Neural Systems and Behavior Laboratory (Bat Lab), investigating neural mechanisms of sensory perception and spatial navigation in echolocating bats. Her work combines neurophysiology, behavioral ecology, and engineering to study how bats process auditory information for navigation, communication, and obstacle avoidance. Dr. Moss earned a B.S. (summa cum laude) from the University of Massachusetts, Amherst, and a Ph.D. from Brown University. She held prior faculty positions at Harvard University and the University of Maryland, where she directed the Neuroscience and Cognitive Science graduate program. Her research has received prestigious awards including the Hartmann Award (2017), James McKeen Cattell Award (2018), and Alexander von Humboldt Research Prize (2019). Her research focuses on sensory coding of natural stimuli, spatial perception, attention, and adaptive motor control. Key findings include discoveries about 3D auditory space representation in the midbrain, age-resistant hearing in bats, and the role of wing hairs in flight control. Her lab employs innovative techniques like wireless neural recording, two-photon imaging, and DREADDs-mediated inactivation to study neural circuits. Dr. Moss collaborates across disciplines, bridging neurobiology, robotics, and sensory systems engineering. Her work informs biomimetic technologies for sonar navigation and adaptive control systems. She actively mentors students and postdocs in the Krieger School of Arts and Sciences, Whiting School of Engineering, and School of Medicine at JHU.

Keith Cuthbertsonمشاهده پروفایل

مدرس

• Fund Management
• Hedge Funds
• Fund Performance
• +۳ مورد دیگر

Keith Cuthbertson is a Special Lecturer at Bayes Business School, City, University of London. He holds a BSc in Physics and Mathematics from the University of Sussex and an MA in Economics from the University of Manchester. His professional experience includes roles at H.M. Treasury, Bank of England, National Institute of Economic and Social Research (NIESR), Imperial College London, and visiting positions at the Federal Reserve Bank (Washington), Freie University (Berlin), and University of Bordeaux. His research focuses on investment fund performance, behavioral finance, and risk management. Key areas include: (1) Measurement and persistence of mutual fund performance, (2) Statistical methods to distinguish skill from luck in fund management, (3) Factor models for portfolio optimization, and (4) Market timing strategies in equity and bond funds. His work emphasizes practical applications for investors and regulators. Recent publications (2016–2023) demonstrate a consistent focus on fund performance analytics, with evolving emphasis on factor models, portfolio size effects, nonparametric methods, and sustainability-linked finance. His research frequently combines academic rigor with practitioner-oriented insights. PhD Supervision: Elisa Pazaj (2015–present): Topics in Financial Markets Niall O'Sullivan (2006–2009): Performance of Mutual Funds Consultancy: Extensive work with Centrica, Towers Perrin, RBS, Department of Energy and Climate Change (DECC), and other financial/government institutions. Focuses on applied finance, derivatives, and risk management solutions.

• Urban Hydrology
• Stormwater Management
• Weather Radar Rainfall Estimation
• +۷ مورد دیگر

Jesper Ellerbæk Nielsen is an Associate Professor in the Department of the Built Environment at Aalborg University, Faculty of Engineering and Science. He is affiliated with the Division of Civil and Environmental Engineering and the Urban Hydrology Research Group, focusing on urban stormwater systems, weather radar applications, and sustainable urban drainage. His research interests include urban hydrology, stormwater management, weather radar rainfall estimation, remote sensing, flood prediction, and real-time hydrological modeling. His work integrates engineering, environmental science, and data-driven approaches to improve urban resilience to extreme weather events. The recent publications reflect a strong trend in utilizing weather radar data, remote sensing, and opportunistic sensor networks to enhance rainfall estimation, stormwater modeling, and flood forecasting in urban environments. His interdisciplinary research spans civil engineering, atmospheric science, and urban planning, with a focus on practical applications for sustainable infrastructure. Prize (2 mentioned, specific names not provided) Nielsen collaborates widely with researchers in hydrology and environmental engineering, particularly with S. Thorndahl and M. R. Rasmussen. His work has been applied in projects involving real-time monitoring, software sensors, and validation of remote sensing technologies. While no specific grants are listed, his involvement in multiple research outputs suggests active project funding. He is involved in the Urban Hydrology Research Group, where his team works on advancing methods for urban stormwater monitoring, modeling, and control, contributing to smarter and more resilient urban water systems.