جست‌وجوی استاد و پژوهشگر

• Occupational Therapy
• Telehealth
• Telerehabilitation
• +۲ مورد دیگر

Jana Cason, DHSc, OTR/L is a Professor in the Department of Occupational Therapy at the Graduate College of Health Sciences, Hawai'i Pacific University. With a career spanning diverse practice settings—including hand therapy, outpatient rehabilitation, and telehealth—she has significantly advanced the use of telehealth in occupational therapy through research, policy development, and international collaboration. Doctorate in Health Science (DHSc) from the University of Indianapolis MHS and BS in Occupational Therapy from the University of Indianapolis and University of Alabama at Birmingham Her research focuses on telehealth implementation, compassionate care, and early intervention. She has authored peer-reviewed articles, book chapters, and standards for telehealth practice, and serves as Senior Associate Editor for the International Journal of Telerehabilitation . Dr. Cason has presented globally and contributed to resolving licensure portability challenges for telerehabilitation professionals. Fellow of the American Occupational Therapy Association (FAOTA) Developer of telehealth protocols and frameworks Advocate for uniform state licensure requirements She integrates clinical practice, research, and education, emphasizing cultural competence in Hawaiian and Pacific Asian contexts while maintaining three rescue dogs and cats with her family.

Ilse Dewachterمشاهده پروفایل

استاد

• Alzheimer's Disease
• Neurodegenerative Diseases
• Therapeutic Development
• +۶ مورد دیگر

Prof. Ilse Dewachter is the head of the Biomed Neuroscience research group at Hasselt University (UHasselt), specializing in Alzheimer’s therapy and prevention for over 25 years. Her work focuses on multi-targeted therapies targeting tau, inflammation, and ApoE, alongside pioneering research into disease prevention via blood-based biomarkers. Recent studies explore a protective APOE3ch mutation that halted Alzheimer’s progression in a patient, offering hope for new treatments. Research Interests: - Alzheimer’s disease mechanisms (Abeta, tau, inflammation) - Multi-target therapies and biomarker development - Neurodegenerative disease prevention strategies - Genetic mutations impacting disease progression Articles Overview: Her most recent work (2025-2022) addresses neuroinflammation, tau propagation models, and AI-driven neuroimaging. Key themes include APOE genetics, blood-brain barrier dynamics, and exercise impacts on cognition. Funding & Grants: Current projects require significant investment for advanced biomarker equipment and clinical trials. A notable €300,000 grant funded research on brain lipid metabolism’s role in Alzheimer’s. Labs & Teams: Leads the BIOMED Neuroscience group at UHasselt, collaborating internationally on preclinical models and drug development.

• Manufacturing Systems Management
• Additive Manufacturing
• 3D Printing
• +۸ مورد دیگر

Professor Daniel Eyers is a Professor of Manufacturing Systems Management at Cardiff Business School, Cardiff University , where he also serves as Director of Quality Assurance & Enhancement. He is co-director of the Centre for Advanced Manufacturing Systems (CAMSAC) and Cardiff University RemakerSpace , highlighting his leadership in sustainable and advanced manufacturing innovation. Professor of Manufacturing Systems Management, Cardiff University (2024–present) Co-Director, Centre for Advanced Manufacturing Systems (CAMSAC) (2024–present) Co-Director, Cardiff University RemakerSpace (2020–present) External Advisor, Open University (2022–present) His research focuses on the strategic management of advanced manufacturing technologies , particularly Additive Manufacturing (3D printing) , within operations and supply chain contexts. He explores how digital technologies enhance supply chain flexibility, sustainability, and performance. His work spans flexible manufacturing systems, servitization, and change management in industrial settings. His recent publications (2020–2025) reveal a strong trajectory in AI-human collaboration in decision-making , sustainable manufacturing , urban logistics , and the integration of 3D printing in circular economies. Themes include risk management, digital transformation, and the strategic impact of emerging technologies on operations. He frequently publishes in top-tier journals such as International Journal of Operations and Production Management , Production Planning and Control , and Omega . CEng, Engineering Council (UK) FHEA, Higher Education Academy ESRC Early Career Impact Acceleration Fellowship Daniel Eyers actively supervises PhD, MSc, and MBA students and has attracted over £2.5 million in research funding from research councils, the Welsh Government, and industry. He contributes to academic program design and quality assurance, serving on university committees and as an external examiner for other institutions. He is deeply engaged in applied research with industrial partners, reflecting his background in commercial manufacturing. His leadership in research centers and commitment to sustainability, digital innovation, and education underscore his role as a key figure in modern operations management scholarship.

Navroz K. Dubashمشاهده پروفایل

استاد

• Climate Policy
• Environmental Governance
• Energy Transitions
• +۵ مورد دیگر

Navroz K. Dubash is a Professor at Princeton University's School of Public and International Affairs and High Meadows Environmental Institute. His career spans 25 years of climate policy research and advisory roles, including founding the Sustainable Futures Collaborative in India and serving as IPCC Coordinating Lead Author. Climate governance in development contexts Energy transitions and air quality Indian federalism in climate policy Global climate legal frameworks His recent research focuses on non-incremental climate strategies, co-benefits in low-carbon transitions, and institutional design for climate resilience. He has published over 40 peer-reviewed articles and serves as Co-Editor in Chief of Climate Policy . India's climate policy evolution Global South climate advocacy Climate-Development synergies Multi-objective policy analysis As chair of SFC's Advisory Council and former Indian government advisor, he bridges academic research with real-world climate strategy implementation.

• Information Retrieval
• Interactive Information Retrieval
• Personalisation
• +۴ مورد دیگر

Ralf Bierig joined Maynooth University's Computer Science Department in 2017, teaching topics including information retrieval, software testing, interaction design, and virtual reality. He is the programme director of the Higher Diploma in Human-Computer Interaction (HCI) and User Experience (UX). He earned his BSc (2002) from University of Furtwangen and PhD (2008) from Robert Gordon University. Research Interests His work spans information retrieval, interactive information retrieval, personalisation, information search behavior, usability (UX), and virtual reality (VR). Recent publications focus on multimodal concept indexing, hybrid IR approaches, and contextual adaptation in search systems. Publication Trends His research combines statistical semantics, graph modeling, and multimodal data analysis across academic collaborations in Austria, Germany, and international venues like ECIR and SIGIR.

Dominik Büelerمشاهده پروفایل

پژوهشگر

• Subseasonal-to-Seasonal Prediction
• Weather Regimes
• Extratropical Cyclones
• +۴ مورد دیگر

Dr. Dominik Büeler is a Researcher at ETH Zurich's Institute for Atmospheric and Climate Science and staff member of the Center for Climate Systems Modeling (C2SM). His work bridges atmospheric dynamics with practical climate services, focusing on subseasonal prediction systems and their societal applications in Europe. Research Focus: Büeler's work centers on subseasonal-to-seasonal prediction, with emphasis on weather regime dynamics, extratropical cyclone behavior, and stratosphere-troposphere interactions. His research integrates large ensemble modeling, forecast verification, and climate impact assessment, particularly for European weather extremes. Recent projects examine heatwave mortality prediction, energy meteorology applications, and the role of moist processes in atmospheric blocking. Analysis of his publication record since 2021 reveals consistent advancement in subseasonal forecasting methodology, with growing emphasis on societal applications including public health (heat-related mortality) and energy sectors. His work increasingly connects fundamental atmospheric processes with operational forecasting systems, leveraging collaborations through the Subseasonal-to-Seasonal Prediction Project. Affiliations: Center for Climate Systems Modeling (C2SM) - Core Research Staff ETH Zurich Institute for Atmospheric and Climate Science MeteoSwiss Collaborator (Energy Meteorology) Büeler contributes to multidisciplinary teams developing climate services, with recent work supporting Swiss operational forecasting systems. His research group within C2SM focuses on improving subseasonal predictability through advanced diagnostics of model biases and atmospheric processes.

Saras D. Sarasvathyمشاهده پروفایل

استاد

• Entrepreneurship
• Effectuation
• Cognitive Basis of Entrepreneurship
• +۳ مورد دیگر

Saras D. Sarasvathy is the Paul M. Hammaker Professor at the Darden Graduate School of Business, University of Virginia, where she is a member of the Strategy, Entrepreneurship and Ethics area. A leading researcher in entrepreneurship, she advises entrepreneurship programs globally across Europe, Asia, and Africa, while serving on boards of companies including Lending Tree (Nasdaq: TREE) and Upekkha, a SaaS accelerator in Bangalore, India. Her research focuses on the cognitive basis of high-performance entrepreneurship, particularly her groundbreaking work on effectuation theory. Sarasvathy's scholarship examines how expert entrepreneurs think and act under uncertainty, challenging traditional predictive approaches to business strategy. She has developed frameworks showing how entrepreneurs create markets and opportunities through action-oriented, non-predictive methods that leverage available means rather than predetermined goals. Sarasvathy's award-winning research has generated significant scholarly attention and practical applications worldwide. Her work has spawned over a hundred scholars involved in the effectuation research program, with publications available through www.effectuation.org. Her influential book Effectuation: Elements of Entrepreneurial Expertise and co-authored textbook Effectual Entrepreneurship (winner of the 2012 Axiom Business Book Awards Gold Medal) have shaped entrepreneurship education globally. Among her numerous accolades are the 2022 Global Award for Entrepreneurship Research (the highest recognition in the field), the Academy of Management's 2019 Foundational Work Award, and recognition as one of Fortune Small Business Magazine's top 18 entrepreneurship professors. She has received honorary doctorates from multiple universities in Europe and Asia and has been named a Visiting Professor at institutions worldwide. Before academia, Sarasvathy founded and ran five successful businesses across three countries. Her doctoral research at Carnegie Mellon University was supervised by Herbert Simon, the 1978 Nobel Laureate in Economics, with whom she collaborated to discover the essential elements of entrepreneurial know-how. She holds a B.Com. from the University of Bombay, India, and an MSIA and Ph.D. from Carnegie Mellon University.

King Man Siuمشاهده پروفایل

استادیار

• Power Electronics
• Renewable Energy Systems
• Smart Grids
• +۳ مورد دیگر

Dr. King Man Siu is an Assistant Professor in the Department of Electrical Engineering at the University of North Texas, College of Engineering. He established the Power Electronics and Renewable Energy (PERE) Lab in February 2022, focusing on power electronics technologies for renewable energy, smart grids, and electric vehicle applications. University: University of North Texas School: College of Engineering Department: Electrical Engineering Research Interests: Dr. Siu specializes in power electronics, renewable energy systems, and smart grid technologies. His work addresses challenges in: Efficient energy conversion for solar and battery systems Grid integration of electric vehicles and renewable sources Advanced inverter design for residential and industrial applications Reduction of magnetic components in power converters Reactive power management and circuit breaker development Modular solutions for DC distribution and rural electrification Publication Trends: His research emphasizes optimizing power electronics through innovative topologies (e.g., Manitoba inverters, interleaved totem-pole converters) and materials (e.g., SiC MOSFETs). Key areas include energy efficiency in photovoltaic systems, smart grid stability, and DC microgrid interconnection strategies. Contact: Email: Kingman.Siu@unt.edu Office: Discovery Park B233

Ben Seiyon Leeمشاهده پروفایل

استادیار

• Computational Statistics
• Spatiotemporal Modeling
• Climate Change Impact Analysis
• +۳ مورد دیگر

Ben Seiyon Lee is an Assistant Professor in the Department of Statistics at George Mason University's College of Science. His work bridges computational statistics, climate modeling, and environmental risk assessment. Education: PhD in Statistics, Pennsylvania State University (2020) Lee specializes in computational methods for high-dimensional spatiotemporal data and uncertainty quantification in climate models. His research explores climate change impacts on extreme hydrological events, wildfire emissions, and medical decision-making. Recent publications focus on Bayesian spatiotemporal frameworks for extreme precipitation analysis, zero-inflated spatial models, and multisector uncertainty quantification. His work addresses challenges in flood risk assessment, agricultural yield projections, and healthcare compliance metrics.

• Environmental engineering
• Wastewater treatment
• Greenhouse gas mitigation
• +۵ مورد دیگر

Professor Bing-Jie (Bruce) Ni is an Adjunct Professor at the University of Technology Sydney (UTS) within the School of Civil and Environmental Engineering and a full Professor at UNSW Sydney. He is an internationally recognised leader in environmental engineering, wastewater treatment, greenhouse-gas mitigation, microplastics fate, electrocatalysis and sustainable energy systems. Education PhD in Environmental Engineering, University of Science and Technology of China, Hefei (2005–2009) Research Interests Professor Ni’s research integrates process engineering, microbial biotechnology, materials science and mathematical modelling to develop sustainable technologies for high-efficiency pollutant removal, minimal carbon footprint and maximal energy recovery from wastewater. He is a global pioneer in: Modelling and control of nitrous oxide (N₂O) and methane (CH₄) emissions from wastewater systems, Micro- and nano-plastics ecotoxicity and mitigation in anaerobic digestion, Transforming sewage sludge into high-value liquid bio-energy (medium-chain fatty acids and long-chain alcohols), Designing cost-effective electrocatalysts from natural minerals for green hydrogen production and wastewater electrolysis. Research Output & Impact Over the last decade he has published 2 research books, 30 book chapters and >400 refereed journal papers , including 35 in Environmental Science & Technology and 85 in Water Research . His work has influenced global policy: the IPCC adopted his nitrous-oxide-emission model in 2019 to revise national greenhouse-gas inventories for the first time in 13 years. Awards & Recognition ARC Future Fellowship & ARC DECRA Fellowship Clarivate Analytics Highly Cited Researcher (Web of Science) Royal Society of Chemistry Highly Cited Researcher (2020–present) Mendeley Data Top 2 % Cited Researchers worldwide Listed among “Australia’s Most Innovative Engineers” (Engineers Australia, 2018) 50+ additional awards including Scopus Young Researcher Award, South Australian Water Awards, UQ Research Excellence Awards, and Outstanding Doctoral Dissertation Awards. Research Funding & Leadership He has secured ≈ AUD $10 million in competitive funding (six major ARC grants plus >20 government, university and industry projects). He serves as: Lead Guest Editor, Water Research Editorial Advisory Board, Environmental Science & Technology Associate Editor for Journal of Cleaner Production , Environmental Chemistry Letters , Environmental Research , Journal of Environmental Management Editorial Board member for five additional high-impact journals. Teaching & Supervision At UTS he teaches Renewable Energy Technologies , Environmental and Sanitation Engineering , Process Dynamics and Control , and Water and Wastewater Treatment . He is available to supervise Masters and PhD students in environmental biotechnology, process modelling and sustainable energy systems. Laboratory & Commercial Translation He heads active research teams at both UNSW and UTS and is the inventor of >10 granted patents , some of which are currently being commercialised to deliver real-world impacts in greenhouse-gas-neutral wastewater treatment and renewable energy production.

Jesse Jenkinsمشاهده پروفایل

استادیار

• Energy Systems Engineering
• Decarbonization
• Zero-Carbon Energy Systems
• +۴ مورد دیگر

Jesse Jenkins is an Assistant Professor at Princeton University, jointly appointed in the Department of Mechanical and Aerospace Engineering and the Andlinger Center for Energy and Environment, with courtesy affiliations in the School of Public and International Affairs and the High Meadows Environmental Institute. He leads the Princeton ZERO Lab and specializes in macro-scale energy systems engineering. Education: PhD and SM – Massachusetts Institute of Technology (MIT) Postdoctoral Fellow – Harvard Kennedy School and Harvard University Center for the Environment Research Interests: Jenkins focuses on the transition to zero-carbon energy systems . His work spans the integration of distributed energy resources, optimization of national and sub-national energy systems, and the role of electricity in economy-wide decarbonization. He applies advanced modeling techniques to inform policy and planning decisions. Publications Focus: His recent work emphasizes the intersection of decarbonization strategies and nature-based climate solutions , exploring how ecosystem-based interventions can complement technological pathways to net-zero emissions. These publications underscore the importance of policy frameworks and risk assessments in scaling sustainable climate interventions. Labs & Teams: Jenkins leads the Princeton ZERO Lab (Zero-carbon Energy systems Research and Optimization Laboratory) , which develops and applies optimization-based models to evaluate low-carbon energy technologies and support policy decisions in transitioning to net-zero emissions systems.

• Differential Privacy
• Machine Learning
• Privacy-Preserving Data Analysis
• +۳ مورد دیگر

Daniel Kifer is a Professor in the Computer Science and Engineering department at Pennsylvania State University, with affiliations to the Huck Institutes of the Life Sciences. His work bridges computer science, privacy-preserving machine learning, and geoscience applications. With over 10,000 citations and a high h-index, he focuses on methods to unify theoretical and applied research. Research Interests: Differential Privacy, Privacy-Preserving Machine Learning, Physics-Informed Neural Networks, Landslide Prediction, and Formal Verification of Privacy Systems. Recent projects include grants from the National Science Foundation: SaTC: CORE: Small (2024): privacy-preserving user data embedding in machine learning pipelines. SaTC: CORE: Medium (2017-2023): formal methods for differential privacy and accuracy optimization. His research outputs span domains like geoscience, database systems, and policy analysis, emphasizing precision and scalability of privacy-preserving algorithms.

• Decision Support Systems
• Energy Management
• Environmental Analysis
• +۶ مورد دیگر

John Psarras is a Professor at the National Technical University of Athens (NTUA) in the School of Electrical and Computer Engineering, specifically within the Division of Industrial Electric Devices and Decision Systems. He serves as the Director of the Decision Support Systems Laboratory (DSSlab) and the University Research Institute of Communication and Computer Systems. He holds a Diploma in Mechanical Engineering (1982) and a Ph.D. in Electrical and Computer Engineering (1989), both from NTUA. His research specializes in decision support systems with applications in energy management, environmental analysis, and information systems. Key areas include: Multi-criteria analysis for energy policy and renewable integration AI-driven optimization of smart grids and building efficiency Sustainable finance mechanisms for green projects Blockchain applications in education and data security His recent publications (2023–2025) demonstrate a strong focus on AI-enhanced decision tools for energy transitions, smart infrastructure, healthcare diagnostics, and cross-border renewable cooperation, reflecting interdisciplinary innovation. He has supervised 22 PhD theses and coordinates EU-funded projects in energy policy, clean technology, and capacity building. No scientific awards are listed in available sources. He leads the Decision Support Systems Laboratory (DSSlab), advancing research in energy analytics, and directs the University Research Institute of Communication and Computer Systems, facilitating large-scale interdisciplinary collaborations.

Laura Ascenzi-Morenoمشاهده پروفایل

استاد

• Bilingual Education
• Translanguaging
• Biliteracy
• +۷ مورد دیگر

Laura Ascenzi-Moreno serves as Professor of Bilingual Education and Bilingual Program Coordinator in the Childhood, Bilingual and Special Education Department at Brooklyn College, City University of New York (CUNY), School of Education. Her academic leadership focuses on developing educators capable of serving linguistically diverse student populations through equity-centered pedagogical frameworks. Her educational foundation includes a B.A. in Anthropology and Education from Swarthmore College (1994), an M.A. in Individualized Studies in Education from Harvard Graduate School of Education (1999), New York State Permanent Certification for PreK-6 (2002), a Bilingual ESL and Teacher Leadership Program from Bank Street College (2004), and a Ph.D. in Urban Education from CUNY Graduate Center (2012). Dr. Ascenzi-Moreno's research pioneers translanguaging applications across literacy instruction, assessment, and computational learning environments. She investigates how emergent bilinguals' linguistic repertoires can transform reading development, teacher knowledge construction, and multimodal assessment practices. Her work consistently centers equity through frameworks like syncretic reasoning and accompáñamiento, challenging deficit ideologies while promoting asset-based approaches to multilingual education. Analysis of her 2020-2024 publications reveals an accelerating interdisciplinary trajectory where translanguaging principles increasingly intersect with computer science education. This evolution demonstrates strategic expansion from foundational literacy research into computational literacies, with growing emphasis on co-design methodologies and teacher agency in developing multilingual CS curricula. Her scientific recognition includes the 2024 NCTE Outstanding Elementary Educator Award, Language Arts Distinguished Article Award, and major NSF grants totaling $1.3 million for computational literacy projects. Additional honors encompass Fulbright Scholarship work in Colombia, PSC-CUNY research awards, and Westinghouse Science Talent Search distinction. As Principal Investigator of NSF-funded PiLa-CS and former CUNY-NYSIEB Associate Investigator, she secures substantial grant support while mentoring teacher candidates. Her service includes NCTE Elementary Steering Committee leadership (2022-2026), journal reviewing, and Brooklyn's New York Teacher Table participation addressing educator recruitment/retention. Dr. Ascenzi-Moreno co-directs the Participating in Literacies in Computer Science project and maintains active collaboration with NYC schools through translanguaging professional development initiatives. Her work with the CUNY-NYSIEB project established foundational frameworks now implemented across New York bilingual programs.

Taylor Sparksمشاهده پروفایل

استاد

• Materials informatics
• Machine learning for materials discovery
• Sustainable engineering
• +۷ مورد دیگر

Taylor Sparks is a Professor of Materials Science and Engineering at the University of Utah, where he also serves as Director of Graduate Affairs for the John and Marcia Price College of Engineering. He holds a PhD in Applied Physics from Harvard University, an MS in Materials from the University of California, Santa Barbara, and a BS in Materials Science & Engineering from the University of Utah. His research focuses on advancing materials discovery using machine learning to streamline and optimize material design, with applications in energy materials, dental materials, and sustainable engineering. His work integrates big data and materials informatics to explore new synthetic techniques, structure-property relationships, and sustainable materials that balance performance with economic factors. The Sparks Research Group has secured funding from agencies including DOE, NSF, DOD, and various industry partners. Sparks' recent research output demonstrates a strong trend toward leveraging artificial intelligence and machine learning to accelerate materials discovery, with particular emphasis on large language models for materials science, Bayesian optimization for experimental design, and novel approaches to crystal structure prediction. His work bridges the gap between theoretical predictions and experimental validation in materials science. NSF CAREER Award Royal Society Wolfson Visiting Fellow Acta Materialia Outstanding Reviewer Award for 2020 Honorary Outstanding Faculty Teaching Award of 2020-2021 Materials Science & Engineering Department Research Award for 2023 John G. Francis Prize for Undergraduate Student Mentoring Sparks has advised numerous graduate students who have gone on to successful careers in academia and industry. His research has been supported by significant grants from NSF, DOE, DOD, Army Research Office, and industry partners. His group has developed innovative tools including the Materialism Podcast, a materials science YouTube channel, and the Honegumi interface for Bayesian optimization, demonstrating his commitment to both research excellence and science communication. The Sparks Research Group operates multiple laboratories focused on materials characterization, synthesis, and informatics. They collaborate extensively with other institutions globally, host visiting researchers, and run outreach initiatives including the Materialism Podcast and YouTube channel to make materials science more accessible to broader audiences.