جست‌وجوی استاد و پژوهشگر

Matt Finkenbinderمشاهده پروفایل

دانشیار

• Paleoclimatology
• Sedimentology
• Stable Isotope Geochemistry
• +۱ مورد دیگر

Dr. Matt Finkenbinder serves as Associate Professor in the Biology and Earth Systems Sciences department at Wilkes University, teaching undergraduate courses including Introduction to Geology, Sedimentology and Stratigraphy, and Paleoclimatology. His research reconstructs past climate changes using lake sediment records across Alaska, northeastern Pennsylvania, Montana's Northern Rockies, and Canada. His educational background includes: PhD in Geology from the University of Pittsburgh (2015) MS in Geology from West Virginia University (2008) BS in Geoenvironmental Studies from Shippensburg University (2005) Dr. Finkenbinder's primary research focuses on paleoclimatology, sedimentology, stable isotope geochemistry, and radiometric dating methods. He utilizes small lake sedimentary records to reconstruct climatic changes across diverse timescales, with field sites spanning North America. His teaching emphasizes critical thinking development, societal relevance of Earth Science, and field-based learning through geological trips. Analysis of his 2023-2025 publications reveals dominant themes in Holocene climate dynamics, mercury deposition as a climate proxy, and atmospheric circulation changes using tephra and stable isotope analysis. His work integrates multiple sedimentary proxies across geographic regions to understand past environmental shifts, particularly hydroclimate transitions and ecosystem responses. His scientific awards include: Wilkes University President's Award for Scholarship (2022) Fonds de Recherche du Québec Postdoctoral Fellowship (2016, declined) Arctic Climate Dynamics Course Scholarship, University of Bergen (2016) Andrew Mellon Predoctoral Fellowship (2014-2015) University of Pittsburgh Leighton Memorial Graduate Scholarship (2012-2013) Geological Society of America J. Hoover Mackin Award Honorary Mention (2012) Geological Society of America Graduate Research Grant (2007, 2012) WVU Teaching Assistant of the Year (2006-2007) Marshall Miller Geology Field Camp Award (2006) Dr. Finkenbinder has secured research funding through competitive fellowships including the Andrew Mellon Predoctoral Fellowship. While specific student advisees aren't listed, he mentors undergraduates through research projects and field experiences, integrating them into his paleoclimate research on lake sediment records and climate reconstruction.

Farwa Aliمشاهده پروفایل

دانشیار

• Progressive Supranuclear Palsy
• Parkinson's Disease
• Movement Disorders
• +۶ مورد دیگر

Farwa Ali, M.B.B.S., serves as a Consultant in the Section of Movement Disorders within the Department of Neurology at Mayo Clinic's Rochester campus. She holds the academic rank of Associate Professor of Neurology through the Mayo Clinic College of Medicine. Her clinical expertise centers on movement disorders including Parkinson's disease, tremor, dystonia, and atypical parkinsonian syndromes with particular focus on progressive supranuclear palsy (PSP). Dr. Ali's research program investigates PSP through multiple complementary approaches: advanced neuroimaging (tau-PET, amyloid-PET, FDG-PET, quantitative susceptibility mapping), detailed gait and motion analysis, speech and swallowing evaluations, and oculomotor studies. Her work examines disease heterogeneity across PSP variants, longitudinal progression patterns, and the relationship between clinical manifestations and underlying neuropathology. Current research emphasizes identifying imaging biomarkers for early diagnosis and developing quantitative methods to track disease progression. Analysis of her recent publications reveals a strong focus on multimodal imaging techniques to differentiate PSP variants, validate diagnostic criteria, and understand pathophysiological mechanisms. Her work increasingly incorporates machine learning approaches to neuroimaging data and emphasizes quantitative gait analysis as both a diagnostic tool and outcome measure. The research demonstrates consistent collaboration with Mayo's neuroimaging, neuropathology, and movement disorders teams. Jon Stolk Award in Movement Disorders for Young Investigators (2023) AAN A.B Baker Award in Neurologic Education (2020) Teacher of the Year, Neurology Residency Program (2019) Teacher of the Year, Mayo Clinic Rochester (2019) Adult Neurology Residency Chief Resident Award (2017) Dr. Ali actively contributes to clinical education as evidenced by multiple teaching awards and serves on the Executive Steering Committee of the CurePSP Foundation. Her research program receives support through Mayo Clinic's infrastructure and collaborates with national consortia studying neurodegenerative disorders. She participates in multidisciplinary clinics for complex movement disorder cases and contributes to consensus statements on PSP management.

Yong Wangمشاهده پروفایل

مدرس ارشد

• Food Engineering
• Food Technology
• Non-Newtonian Fluid Flows
• +۷ مورد دیگر

Dr. Yong Wang serves as Senior Lecturer in the School of Chemical Engineering at the University of New South Wales Sydney, where he leads cutting-edge research in food engineering and technology. His academic journey includes a PhD from a joint program between China Agricultural University and University of California Davis (2011), followed by research positions at Monash University (2019-2020) and COFCO Nutrition and Health Research Institute in Beijing (2011-2019), including an Australian Endeavour Fellowship at The University of Queensland in 2016. Most recently, he was awarded an OECD Fellowship for the Co-operative Research Programme: Sustainable Agricultural and Food Systems, collaborating with MIT in April-June 2024. Dr. Wang's research focuses on food structure design (including mechanical properties for solid foods and rheological design for liquid/semi-solid foods), food processing technology (drying, emulsion, encapsulation), plant-based food developments, and human mimicking digestion systems. His work bridges fundamental science with practical applications in sustainable food systems, with particular emphasis on improving plant-based alternatives and novel food manufacturing processes. His current research projects span plant milk technologies, Australian hazelnut processing, alternative texturizers for plant-based meats, and fat distribution in food emulsion gels. His publication record includes 170 journal articles and 12 book chapters, with research trends showing increasing focus on sustainable food technologies, plant-based alternatives, and advanced food structure characterization. Recent work demonstrates expertise in interfacial rheology, 3D food printing, molecular dynamics of plant proteins, and AI applications in food science. OECD Fellow for the Co-operative Research Programme: Sustainable Agricultural and Food Systems (2024) Australian Endeavour Fellowship (2016) Editor of Food Chemistry X (Elsevier) Associate Editor of Measurement: Food (Elsevier) Editorial Board Member of Food Chemistry (Elsevier) Dr. Wang has secured over 1 million AUD in research funding since 2011, currently leading multiple projects including 'Advancing Plant Milk Technologies through Interfacial Rheology' (Sanitarium & Future Food Systems CRC, $232,000), 'Australian hazelnuts processing and quality enhancement' (AgriFutures Australia, $160,000), and 'Engineering network-forming behaviours of plant proteins' (Australian Research Council, $699,300). His research supervision focuses on food structure design, rheology, plant-based foods, and encapsulation technologies, with available honours projects spanning food 3D printing, vegetable chip development, and AI applications in flavor identification. He coordinates and teaches Advanced Food Engineering (FOOD4450/8450) and several other food science courses at UNSW.

• Computer architecture and parallel systems
• Power-aware computing
• Process and resource management in HPC systems
• +۵ مورد دیگر

Dr. Eishi Arima is a researcher at the Chair of Computer Architecture and Parallel Systems within the Department of Informatics at the Technical University of Munich (TUM). His work focuses on cutting-edge computer architecture and high-performance computing systems, with particular expertise in power-aware computing, resource management, and heterogeneous systems. He actively contributes to numerous international conferences and collaborative research projects addressing challenges in modern computing infrastructure. Dr. Arima's research spans multiple critical areas in computer architecture including memory and storage systems, performance modeling and optimization, hardware/software codesign, and processor microarchitectures. His work demonstrates particular strength in addressing energy efficiency challenges in high-performance computing environments, with numerous publications on power capping, resource partitioning, and sustainable computing approaches. His research bridges theoretical concepts with practical implementations, often incorporating machine learning techniques to optimize system performance under various constraints. Analysis of Dr. Arima's publication record reveals a strong focus on addressing the energy efficiency challenges in modern computing systems. His work consistently targets the intersection of hardware architecture and system-level resource management, with particular emphasis on heterogeneous computing platforms combining CPUs, GPUs, and emerging memory technologies. Over time, his research has evolved from traditional cache and memory system optimizations toward more holistic approaches incorporating machine learning for resource management in power-constrained environments. Recent publications demonstrate increasing attention to sustainability aspects of computing, reflecting broader industry trends toward greener computing solutions. Dr. Arima has served in various organizational capacities for major international conferences including as Program Committee member for SC, IPDPS, and Cluster conferences, and as Program Co-Chair for ACM CF'20. His journal review activities span multiple prestigious publications including IEEE TPDS and Elsevier FGCS. This extensive service demonstrates his recognition as a respected member of the international computer architecture research community. Dr. Arima has mentored numerous students through bachelor's theses, master's theses, and guided research projects. His students have produced research on topics including reinforcement learning for resource management, job scheduling optimization, memory system improvements, and power-aware computing techniques. Several student projects have resulted in publications at reputable conferences, indicating the high quality of research conducted under his supervision. His mentoring covers both theoretical aspects of computer architecture and practical implementation challenges in real-world systems. Dr. Arima is actively involved in multiple research projects including SEANERGYS (EuroHPC), PlasmaPEPS, OpenCUBE, DaREXA-F, ScalNEXT, PDexa, MUNIQC-ATOMS, BB-KI_Chips, QuaST, and Q-DESSI. These projects address various aspects of high-performance computing, from energy efficiency to quantum computing integration. His work contributes to the development of next-generation computing infrastructure that balances performance requirements with sustainability concerns.

• Evolutionary Game Theory
• Membrane Computing
• Computational Biology
• +۴ مورد دیگر

Matteo Cavaliere is an Associate Professor at the Department of Physical, Computer and Mathematical Sciences, University of Modena and Reggio Emilia. His research bridges Evolutionary Game Theory , Membrane Computing , and Computational Biology , focusing on cooperation dynamics in structured populations, algorithmic modeling of biological processes, and network resilience mechanisms. Key Research Themes: Strategic cooperation in social/biological systems, information-driven network dynamics, and synthetic biology applications. Teaching Responsibilities: Courses in Algorithms and Problem Solving , Game Theory , and Digital Communication Tools at graduate and undergraduate levels. His recent publications emphasize evolutionary stability through network rankings, cyber-physical cooperation frameworks , and multi-scale biological modeling using agent-based simulations. Collaborative work spans interdisciplinary domains including epidemiology, tissue morphogenesis, and distributed cellular computing, with no scientific awards explicitly mentioned in the provided texts.

• Physical Education
• Sports Coaching Pedagogy
• Values Education
• +۳ مورد دیگر

Manuel Tomas Abad Robles is a Professor at the University of Huelva , affiliated with the Faculty of Education, Psychology and Sports Sciences and the Department of Integrated Didactics . His research focuses on the Didactics of Body Expression , aiming to integrate physical activity into educational frameworks for holistic development. Research Groups : HUM954 Physical Activity, Promotion of Values, and Education; previously part of HUM643 Education, Motor Skills and Research ONUBENSE Research Center : Research Center on Contemporary Thought and Innovation for Social Development His work emphasizes values education through sports, exploring topics like sportsmanship , addiction prevention , and self-esteem in educational settings. He has conducted systematic reviews on teaching methodologies in team sports, adapted sports for marginalized populations, and gender perspectives in sports research. Recent publications highlight trends in coach training , Paralympic athlete development , and social integration via sports programs. He collaborates with institutions like the Real Madrid Foundation to evaluate educational sports initiatives, including programs for prison inmates and hospitalized youth .

Frans Spieringsمشاهده پروفایل

مدرس

• Social Work
• Urban Sociology
• Youth Development
• +۷ مورد دیگر

Dr. Frans Spierings serves as a Lecturer at Rotterdam University of Applied Sciences in the field of Growing Up in the City and directs the Knowledge Centre for Talent Development. His work focuses on supporting professionals who work with children and young people in urban environments, addressing challenges related to inequality, mental health, and educational participation. Dr. Spierings received his PhD in 1996 from Erasmus University Rotterdam as a sociologist and methodologist of social science research. His dissertation was titled "Op eigen kracht - een onderzoek naar de Dagelijks levens van horecaden" (On Your Own Strength - A Study of the Daily Life of Housing Residents). His research interests primarily center around social work, urban sociology, and youth development in city environments. He has extensively studied how professionals can better support young people facing challenges such as mental health issues, poverty, and educational barriers. His work emphasizes socioprudence in social work practice, recognizing the importance of social context in professional decision-making. He has developed concepts relevant to strengthening professional practice through research with (experienced) young people, focusing on "best practices" in the region. Dr. Spierings has been involved in numerous research projects through the Knowledge Centre for Talent Development, including Koplopers (supporting young people with mental health issues), Stay on Track (improving school return for youth in out-of-home placement), and Youngins (creating brave spaces for vulnerable youth). His research often takes a multidisciplinary, integrated approach to issues surrounding youth development in urban environments. Among his professional activities, Dr. Spierings serves as: Chair of the Complaints Committee Youth Protection Rotterdam Rijnmond Member of the national scientific council of the Platform for Social Work Lecturers Member of the Board of the Management Foundation Chair of Learning Environment and Careers at the Open University ZonMW Project Proposal Reviewer Dr. Spierings has collaborated with numerous organizations across the youth care chain, including schools, healthcare providers, and social welfare organizations. His work often focuses on building connections between different disciplines to create integrated approaches to supporting young people in urban environments.

• Data-Driven Decision-Making
• Industrial Statistics
• Reliability Engineering
• +۳ مورد دیگر

Qiuzhuang Sun is a Lecturer in the School of Mathematics and Statistics at the University of Sydney. His research focuses on data-driven decision-making, industrial statistics, and reliability engineering, with applications in healthcare, transportation, and sustainable urban systems. Alma Mater: Joint B.Eng. in Industrial Engineering and Computer Science from Shanghai Jiao Tong University; Ph.D. in Industrial Systems Engineering from National University of Singapore His research interests include: Data-Driven Decision-Making for healthcare, emergency response, and preventive maintenance Applied data science and machine learning for transportation data, clinical data, and megacity sustainability Reliability engineering with emphasis on anomaly detection, degradation modeling, and prognostic health management Recent publications highlight advancements in degradation modeling, robust optimization, and healthcare system design, reflecting interdisciplinary collaborations in industrial engineering, statistics, and biomedical research. His work aligns with the Faculty of Science's research strengths in Data and Decisions, Precision Health, and Sustainable Systems. Scientific accolades include: Finalist, IISE Data Analytics & Information Systems Case Study Competition (2024) First Place, INFORMS Blue Summit Supplies Data Mining Challenge (2023) Best Student Paper Award, INFORMS Society on Location Analysis (2023) Best Paper Award, INFORMS Conference on Quality, Statistics, and Reliability (2023) Winner, INFORMS QSR Industrial Data Challenge Competition (2022) ISE Magazine Featured Article (2020) Excellent Paper Award, Operations Research Society of China Reliability Chapter (2019) He supervises students in projects related to reliability engineering and data-driven decision-making. His work integrates statistical modeling, machine learning, and industrial systems optimization.

Robert Casaresمشاهده پروفایل

دانشیار

• Family Counseling
• Creativity in Counseling
• Podcasts in Education
• +۴ مورد دیگر

Robert Casares is an Associate Professor and Associate Online Program Director in the Department of Counseling at Wake Forest University since July 2017. He holds a Ph.D. and M.A. in Counselor Education and Marriage and Family Counseling from the University of Holy Cross (2016, 2014) and a B.A. in British and American Literature & Theology from Franciscan University (2005). His research focuses on family counseling, boomerang children, and the clinical and pedagogical applications of podcasts. Dr. Casares has published extensively on integrating digital media into counseling education, including articles in The Family Journal and Journal of Creativity in Mental Health . He explores topics like telehealth ethics, social media impacts on adolescent mental health, and creative approaches to family therapy. His podcast work includes The Reframe and collaborations with journals such as The American Journal of Family Therapy . A licensed counselor across multiple states, Casares has served on editorial boards and committees dedicated to advancing counseling practices. His presentations address digital safety, technology habits in families, and existential grief counseling. Casares combines clinical expertise with technological innovation in both teaching and therapeutic contexts.

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +۸ مورد دیگر

Marijn Schraagen is an Assistant Professor in Natural Language Processing at Utrecht University's Faculty of Science, specifically within the Information and Computing Sciences department. His academic work bridges computational linguistics with practical applications across multiple domains including healthcare, law, and cultural heritage. His research interests focus on the application of machine learning methods to large collections of text and speech data. Schraagen has developed expertise in Dutch language processing with specific applications in clinical settings, legal contexts, and historical language analysis. Notably, within the Goallab at the department of Social, Health and Organizational Psychology, he contributes to developing machine learning models for detecting and preventing low literacy among Dutch children. His publication record demonstrates consistent research activity from 2010 through 2025, with recent work showing particular strength in legal text analysis, clinical NLP applications, and historical language processing. His articles reveal a pattern of interdisciplinary collaboration, working with researchers from psychology, public health, law, and social sciences to address real-world problems through NLP solutions. Schraagen has received research funding from diverse sources including Anders AI Lab, NWO Ai-NEDXS, the National Police, and the Royal Library. His projects include developing AI tools for literacy detection, analyzing protest events in social media, and creating systems for processing historical Dutch texts. He teaches courses in computational thinking, knowledge-intensive process analysis, and methods in AI research, contributing to both the theoretical and practical education of students in the field of artificial intelligence and natural language processing.

• Artificial Intelligence
• Natural Language Processing
• Multi-Agent Systems
• +۵ مورد دیگر

Dr. Gerard Vreeswijk is an Assistant Professor in the Department of Information and Computing Sciences within the Faculty of Science at Utrecht University. He specializes in Natural Language Processing and Artificial Intelligence, with over 100 publications spanning multiple decades of research. His academic journey began with a PhD in theoretical computer science from the Vrije Universiteit Amsterdam in 1993. Dr. Vreeswijk's research interests center around multi-agent learning , the theory of computability , and unconventional computation . His scholarly work demonstrates a strong focus on argumentation systems, multi-agent deliberation, and computational dialectics. He serves as a core lecturer for both bachelor's and master's programs in Artificial Intelligence at Utrecht University. His publication record shows consistent contributions to the fields of artificial intelligence and computational argumentation, with recent work examining novelty strategies in game theory, motion types in particle systems, and extensions to explanatory coherence frameworks. His research has appeared in prestigious venues including Theoretical Computer Science, International Journal of Parallel, Emergent and Distributed Systems, and Law, Probability and Risk. Dr. Vreeswijk regularly contributes to the academic community through peer review activities for leading scientific journals and as an arbitrator for the Dutch Research Council (NWO) and European Research Council (ERC). His work intersects with multiple disciplines, particularly bridging theoretical computer science with practical applications in intelligence analysis and decision support systems. He maintains an active role in teaching and research supervision, contributing to the development of the next generation of AI researchers and practitioners at Utrecht University.

Gabriel Kronbergerمشاهده پروفایل

استاد

• Symbolic Regression
• Genetic Programming
• Machine Learning
• +۳ مورد دیگر

Gabriel Kronberger is a Professor at Hagenberg University of Applied Sciences, specializing in Symbolic Regression, Genetic Programming, and Machine Learning. His work bridges theoretical advancements with industrial applications in mechatronics and engineering systems. Active in evolutionary computation and symbolic regression since 2006 Lead researcher at the Josef Ressel Center for Symbolic Regression Developed techniques for alarm flood reduction in critical infrastructure His research focuses on Symbolic Regression , where he explores algorithmic enhancements like redundant parameter reduction and equality graph integration. He applies these methods to material science (e.g., tensile strength prediction) and automotive engineering (e.g., powertrain modeling). Recent publications demonstrate a trend toward interactive tools (rEGGression) and hybrid approaches combining genetic programming with machine learning systems (neural networks, random forests). All 158 publications emphasize practical implementations in industrial contexts. He has organized key conferences like Genetic and Evolutionary Computation Conference (2017-2020) and led 6 major research projects from 2013 to 2026, including EREMA Recycling 4.0 and McTronic educational initiatives.

• Migrant integration
• Child welfare
• Child poverty
• +۵ مورد دیگر

Marianne Rugkåsa is a Professor at the Faculty of Social Sciences , Department of Social Work, Child Welfare and Social Policy at Oslo Metropolitan University. Her work bridges social work and social anthropology , focusing on migrant integration , child welfare with ethnic minorities, and antiracist practice . She leads the academic unit Living Conditions, Health, Work, and Social Inequalities . Trained as a social worker PhD in social anthropology Over 15 years researching minority families in the Norwegian welfare state Research Focus: Rugkåsa employs ethnographic methods to examine: Minority perspectives in child protection Language barriers in migrant social work Structural racism in public services Trust dynamics in vulnerable communities Recent Publications include analyses of: Foster care systems for ethnic minority children Digital pedagogy in Nordic social work education Culturalization of poverty in public policy Projects: Current work includes the Ungtillit project exploring youth trust in public services.

• Gifted Education
• Family Pedagogy
• School-Family Cooperation
• +۳ مورد دیگر

Dr. Małgorzata Stańczak serves as a lecturer at the Department of General and Care Pedagogy, University of Warmia and Mazury in Olsztyn, holding a doctoral degree with active teaching and research responsibilities. Her institutional affiliation positions her within Poland's prominent pedagogical research community focused on contemporary educational challenges. Her research portfolio centers on the intricate dynamics of gifted education, particularly examining: Socio-psychological family environments for gifted children Multidomain talent development (academic, artistic, sports) Systemic cooperation between schools, families, and community resources Counseling frameworks for gifted family units Historical foundations of gifted education in Polish contexts Special considerations for gifted children with chronic illnesses Analysis of her 14 publications (2009-2024) reveals a methodical evolution from foundational needs assessment toward sophisticated systemic models. Recent work (2020-2024) demonstrates increased sophistication in analyzing historical statutes, multidomain daily life challenges, and ecological relationship mapping, while maintaining practical applicability for educators. Her research consistently bridges theoretical frameworks with actionable strategies for Polish educational settings. No scientific awards or honors were specified in available materials, though her sustained publication record since 2009 indicates significant scholarly contribution within Central European gifted education research. Information regarding graduate student supervision, research grants, or laboratory leadership was not documented in the provided sources. Her current contact details include email malgorzata.stanczak@uwm.edu.pl and phone 89 524 62 36 for academic inquiries and consultation.

• Structural Engineering
• Bridge Engineering
• Structural Health Monitoring
• +۶ مورد دیگر

Dr Adrienn Tomor serves as an Associate Professor in Engineering Design and Construction at The Bartlett School of Sustainable Construction, University College London. Her expertise spans structural engineering, sustainable infrastructure development, and the pioneering Digital Stone Construction initiative for ultra-low emission building solutions. She actively contributes to policy through membership in the Department for Transport College of Experts and the Public Policy Collaboration project. Her academic qualifications include: Postgraduate Certificate in Teaching and Learning in Higher Education, UWE Bristol PhD (Doctor of Philosophy), University of Exeter MEng in Bridge Engineering, Technical University of Dresden Dr Tomor's research centers on long-term infrastructure performance, with emphasis on structural behavior, material durability, and health monitoring of masonry systems. She investigates fatigue mechanisms, environmental degradation effects, and sustainability metrics while developing digital stone construction methodologies to transform traditional building practices into scalable, low-carbon solutions for bridges and housing. Analysis of her 30+ publications reveals consistent focus on masonry arch bridges, structural monitoring via acoustic emission, and life-cycle sustainability. Her work integrates experimental material testing with practical engineering applications, addressing critical gaps in infrastructure resilience and environmental impact reduction across historical and modern structures. No formal scientific awards were documented, though her professional recognition includes appointment to the Department for Transport College of Experts where she advises on national infrastructure policy. She has supervised numerous undergraduate and postgraduate students in structural design, bridge engineering, and construction materials. Her collaborations span academia, industry, and government bodies focused on embedding sustainability into infrastructure planning and execution through evidence-based policy development. Dr Tomor leads the Digital Stone Construction initiative, coordinating interdisciplinary teams of engineers, material scientists, and policymakers to advance low-carbon building technologies. This program focuses on adapting digital fabrication techniques to traditional stone construction for competitive, large-scale sustainable infrastructure projects.