جست‌وجوی استاد و پژوهشگر

Tania Lombrozoمشاهده پروفایل

استاد

• Cognitive Psychology
• Philosophy of Science
• Moral Philosophy
• +۳ مورد دیگر

Tania Lombrozo serves as the Arthur W. Marks ’19 Professor at Princeton University, leading the Concepts and Cognition Lab where she investigates the psychological and philosophical dimensions of human reasoning. Her work uniquely integrates empirical methods from cognitive science with conceptual frameworks from analytic philosophy. Her academic background includes a Ph.D. from Harvard University, establishing her foundation in interdisciplinary research approaches. Lombrozo's research centers on the human drive to explain, examining why we seek explanations for certain phenomena but not others, how explanation-seeking affects learning, and whether explanatory processes serve epistemic goals or introduce reasoning errors. She explores connections between causal reasoning, moral responsibility, and intuitive theories of knowledge, drawing from cognitive, social, and developmental psychology alongside philosophy of science and moral philosophy. Her methodology emphasizes experimental rigor while addressing normative questions about ideal reasoning. Analysis of her 2024-2025 publications reveals dominant themes in explanation evaluation across scientific and moral contexts, with significant attention to jargon in science communication, simplicity principles (Ockham’s razor), and moral responsibility in collective action. Her work increasingly addresses AI-human interaction, particularly how explanations influence trust in large language models and the cognitive effects of chain-of-thought reasoning. Notable honors include: Arthur W. Marks ’19 Professorship Excellence in Mentoring Graduate Students Award Lombrozo actively mentors graduate students including Sarah Joo, Casey Lewry, and Sebastian Montesinos, with research supported by interdisciplinary grants spanning cognitive science, ethics education, and technology policy. Her Concepts and Cognition Lab functions as a collaborative hub where philosophical questions are tested through behavioral experiments, contributing to both theoretical advances and practical applications in science communication and AI design.

Charles Hokeمشاهده پروفایل

مدرس ارشد

• Aerodynamics
• Computational Fluid Dynamics
• Flapping Foil Power Generation
• +۳ مورد دیگر

Dr. Charles Hoke serves as a Senior Lecturer in the School of Engineering and Technology at UNSW Canberra, specializing in computational aerodynamics and energy harvesting systems. His academic foundation includes a Bachelor's in Engineering Mechanics from UC San Diego (2000) and a Master's in Aeronautics and Astronautics from Stanford University (2001), with ongoing PhD studies at UNSW Canberra. His educational background comprises: Bachelor of Science in Engineering Mechanics, University of California, San Diego (2000) Master of Science in Aeronautics and Astronautics, Stanford University (2001) PhD candidate in Engineering, University of New South Wales, Canberra (present) Dr. Hoke's research centers on unsteady fluid-structure interactions, with primary focus areas: Computational investigation of flapping foil power generation systems Active flexibility mechanisms and near-wall flow effects Hypersonic shock-structure interaction phenomena Energy harvesting applications from oscillating foils Analysis of his publication history (2004-2024) reveals a progressive research trajectory from missile aerodynamics (2004) to advanced computational studies of bio-inspired propulsion systems. Recent works (2023-2024) demonstrate significant innovations in active morphing techniques for power extraction efficiency and high-fidelity modeling of hypersonic fluid-thermal-structural interactions, reflecting his dual expertise in defense applications and renewable energy solutions. His professional experience includes eight years as a US Air Force officer (2000-2008), serving as Aeronautical Engineer at the Air Force Research Laboratory and Assistant Professor at the Air Force Academy where he directed courses in aerodynamics and computational fluid dynamics, followed by four years as Lead Aerodynamicist at Raytheon Missile Systems (2008-2012).

Niklas Mattsson-Carlgrenمشاهده پروفایل

دانشیار

• Alzheimer's Disease
• Neurodegenerative Diseases
• Tau Pathology
• +۷ مورد دیگر

Niklas Mattsson-Carlgren serves as an Associate Professor and Senior Lecturer at Lund University's Faculty of Medicine, Department of Clinical Sciences. He holds multiple significant roles including Deputy Research Team Manager and Principal Investigator for several major research projects. His affiliations extend to the Wallenberg Centre for Molecular Medicine (WCMM), LU Profile Area: Proactive Ageing, and MultiPark: Multidisciplinary Research Focused on Parkinson's Disease. Dr. Mattsson-Carlgren's research primarily focuses on Alzheimer's disease and other neurodegenerative conditions, with additional work on acute brain injuries such as those following cardiac arrest. His expertise spans neurochemistry, including the regulation of pain and sleep. He employs biochemical measurements, neuroimaging, and cognitive testing to study disease processes in vivo across the spectrum from preclinical disease to advanced dementia. His work aims to improve diagnostic and prognostic methods in clinical practice, enhance clinical trial design for novel therapies, and deepen understanding of disease mechanisms. His recent publications demonstrate a strong emphasis on plasma biomarkers for Alzheimer's disease detection and monitoring, with particular focus on tau and amyloid pathology. The research shows increasing integration of machine learning approaches with traditional biomarker analysis, reflecting a trend toward more sophisticated diagnostic tools that combine multiple data sources for improved accuracy in predicting disease progression. As Principal Investigator for multiple significant projects including 'Longitudinal plasma biomarkers, cognitive data and amyloid PET to improve early prevention of Alzheimer's disease' and 'Validation of an MTBR tau immunoassay for CSF and plasma,' he leads substantial research efforts funded by organizations including Familjen Rönströms stiftelse, Eli Lilly and Company, and the Knut and Alice Wallenberg Foundation. He also serves as supervisor for PhD students, notably for 'Studies of induced neuronal cells in Alzheimer's disease.' Dr. Mattsson-Carlgren is actively involved in the neuroscience community, serving on the program committee for Neuroscience Day 2025. His research contributes to UN Sustainable Development Goals related to health and wellbeing. His work has gained significant attention, with multiple papers being picked up by news outlets and referenced across social media platforms including X (Twitter) and Bluesky.

Surendranath Sumanمشاهده پروفایل

استاد

• Meat Science
• Proteomics of meat quality
• Myoglobin chemistry
• +۵ مورد دیگر

Surendranath Suman is an Assistant Dean of Research and Professor in the Department of Animal and Food Sciences at the University of Kentucky's College of Agriculture, Food and Environment. He also holds secondary appointments with the Center for Muscle Biology and the Division of Nutritional Sciences. With over 15 years of academic service at the university, he has progressed from Assistant Professor (2006-2012) to Associate Professor (2012-2017) and currently serves as Professor (2017-present). Dr. Suman earned his B.V.Sc. & A.H. from Kerala Agricultural University (1999), M.V.Sc. from Indian Veterinary Research Institute (2001), and Ph.D. from University of Connecticut (2006). He is also a Diplomate of the American College of Animal Sciences (2010). His research focuses on meat science with particular expertise in proteomics of meat quality, myoglobin chemistry and meat color stability, and novel strategies to improve meat quality. Dr. Suman has made significant contributions to understanding the biochemical mechanisms behind fresh meat color, particularly in beef and pork. His work integrates traditional meat science methodologies with high-throughput proteomic and metabolomic approaches to unravel complex biochemical pathways. Analysis of Dr. Suman's recent publications reveals a strong focus on meat color stability mechanisms, particularly through proteomic approaches. His research spans multiple species including beef cattle, pork, bison, and poultry, with particular attention to mitochondrial functionality, myoglobin chemistry, and post-translational modifications that influence meat quality attributes. Recent work has expanded into metabolomics applications in meat science. Scientific Awards and Recognition Distinguished Research Award, American Meat Science Association (2022) University Research Professor, University of Kentucky (2021) International Lectureship Award, American Meat Science Association (2019) Distinguished Alumni Award, University of Connecticut (2019) Meats Research Award, American Society of Animal Science (2018) Thomas Poe Cooper Distinguished Research Award, University of Kentucky (2017) Bobby Pass Excellence in Grantsmanship Award, University of Kentucky (2016) Special Visiting Researcher Fellowship, Government of Brazil (2014-2017) Early Career Achievement Award, American Society of Animal Science (2013) Dr. Suman has served as an invited speaker internationally across six continents and is an active editorial board member for numerous prestigious journals including Meat and Muscle Biology (Associate Editor), Journal of Animal Science, and Meat Science. His extensive editorial service reflects his standing as a leading authority in meat science research. He has successfully secured multiple research grants, as evidenced by the Bobby Pass Excellence in Grantsmanship Award he received in 2016. As Assistant Dean of Research, Dr. Suman plays a leadership role in advancing research initiatives within the College of Agriculture, Food and Environment. His collaborative research involves multiple laboratories both domestically and internationally, particularly with institutions in Brazil, given his Special Visiting Researcher Fellowship from the Brazilian government. His work bridges fundamental biochemistry with practical applications in meat production and quality assessment.

Gigi Lukمشاهده پروفایل

استاد

• Bilingualism
• Literacy Acquisition
• Lifespan Development
• +۴ مورد دیگر

Gigi Luk is Professor and Program Director for M.Ed. Concentrations in Educational Psychology and Human Development within the Department of Educational and Counselling Psychology at McGill University's Faculty of Education. Her research program investigates the cognitive consequences of bilingualism across the lifespan, bridging scientific understanding with practical educational applications to cultivate inclusive environments for linguistically diverse learners. Her educational background includes: Ph.D. in Psychology (Developmental and Cognitive Processes) from York University M.A. in Psychology (Developmental and Cognitive Processes) from York University Specialized Honors B.A. in Psychology from York University Dr. Luk's research centers on bilingualism's cognitive and neural mechanisms, with three interconnected thrusts: (1) characterizing bilingualism beyond English proficiency in communities, (2) examining cognitive skills supporting language/literacy outcomes, and (3) establishing neural correlates of learning in diverse language learners. Her work integrates cognitive neuroscience with educational practice to address real-world challenges in multilingual classrooms, emphasizing culturally responsive pedagogy that respects linguistic diversity. This dual focus on basic science and practical implementation defines her contributions to understanding how bilingual experiences shape cognitive development and educational equity. Analysis of her 15 most recent publications (2022-2024) reveals consistent interdisciplinary investigation of bilingualism through cognitive, neural, and sociocultural lenses. Her work spans educational psychology, cognitive neuroscience, and sociolinguistics, with growing emphasis on neural correlates of language processing, methodological rigor in bilingual assessment, and equity implications of bilingual research. Key trends include examination of multilingual children's cognitive development, critical reframing of the "bilingual advantage" discourse, and innovative approaches like music-based literacy interventions. Scientific recognition includes: National Academy of Education/Spencer Postdoctoral Fellowship (2013-2014) Dr. Luk actively supervises graduate students (accepting new students for 2025-2026) and secures competitive research funding, currently supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) and Fonds de recherche Société et culture (FRQSC). Her grant portfolio demonstrates sustained commitment to advancing understanding of bilingual cognition and its educational applications through rigorous empirical work. She directs the Bilingualism.Experience.Education Lab, which functions as an interdisciplinary hub for investigating how language experiences shape cognitive development and educational outcomes. The lab employs diverse methodologies including neuroimaging, behavioral experiments, and classroom-based research to address questions about bilingualism's cognitive effects and practical implications for educators.

David B. Gruskyمشاهده پروفایل

استاد

• Social Stratification
• Poverty
• Economic Inequality
• +۵ مورد دیگر

David B. Grusky is the Barbara Kimball Browning Professor and Edward Ames Edmonds Professor in the School of Humanities and Sciences at Stanford University. He serves as Director of the Stanford Center on Poverty and Inequality, co-editor of Pathways Magazine , Senior Fellow at the Stanford Institute for Economic Policy Research, and Faculty Fellow at the Center for Population Health Sciences. His research examines structural inequality, mobility, and poverty, with an emphasis on data-driven policy solutions. Grusky holds a B.A. in Sociology from Reed College (1980) and an M.S. (1983) and Ph.D. (1987) in Sociology from the University of Wisconsin-Madison. His research addresses late-industrial inequality through multiple lenses: rent-seeking and market failure in income inequality; economic mobility; essentialist barriers to gender equality; cross-class interaction patterns; and the decline of traditional social classes. He pioneers projects leveraging administrative data and qualitative methods to monitor poverty and inequality, including the American Opportunity Study and American Voices Project. Recent publications (2019–2024) focus on economic mobility, COVID-19 impacts, gender segregation, and poverty reduction. These works employ interdisciplinary approaches spanning sociology, economics, network science, and policy analysis, consistently emphasizing empirical rigor and actionable insights for reducing inequality. Major honors include: Member, National Academy of Sciences Member, American Academy of Arts and Sciences Fellow, American Association for the Advancement of Science Max Weber Award (2004, corecipient) Founder, Cornell University Center for the Study of Inequality Former Presidential Young Investigator As Faculty Director of the Stanford Center on Poverty and Inequality, Grusky oversees the annual State of the Union poverty reports and leads initiatives to integrate big data into social policy. The center collaborates with interdisciplinary teams to address contemporary challenges in inequality measurement and intervention.

• Cancer Epidemiology
• Cytomegalovirus
• Environmental Epidemiology
• +۴ مورد دیگر

Dr. Heather H Nelson is a Professor in the Department of Epidemiology & Community Health at the University of Minnesota's School of Public Health, where she serves as Associate Director of Cancer Prevention and Control. She is also affiliated with the Minnesota Population Center. Her research focuses on cancer epidemiology, cytomegalovirus, and environmental epidemiology, with significant contributions to understanding cancer screening, prevention, etiology, and survivorship. Dr. Nelson holds a PhD and MPH, which provide the foundation for her interdisciplinary research approach combining epidemiological methods with public health practice. Her educational background has equipped her to lead major research initiatives in cancer prevention and control. Her research interests span several critical areas in cancer epidemiology, with particular focus on the relationships between viral infections (especially cytomegalovirus), environmental factors, and cancer development and outcomes. She investigates how biological aging measures relate to cancer risk and survivorship, and examines the genetic and epigenetic factors that influence cancer susceptibility. Her work often involves large population-based studies and cohort analyses to identify risk factors and potential intervention points for cancer prevention. Dr. Nelson's recent publications demonstrate trends across cancer epidemiology, virology, and aging research. Her work connects viral infections like cytomegalovirus with cancer outcomes, explores the relationship between biological aging and cancer risk, and investigates genetic factors in colorectal cancer development. These studies employ advanced methodologies including digital PCR for viral detection and population-based cohort analyses. Dr. Nelson has received significant research funding from the NIH National Cancer Institute, with 25 documented projects and grants. Her research output is substantial, with 204 publications spanning from 1995 to the present, demonstrating consistent productivity throughout her career. She has contributed to important datasets including the "Perceptions of COVID-19 and Health Survey in the United States," which has been widely accessed by researchers. She actively collaborates with numerous researchers across institutions as evidenced by her participation in large team projects like the Cancer Center Support Grant where she serves as a Co-Investigator. Her work contributes to the UN Sustainable Development Goals related to health and well-being, particularly in cancer prevention and control.

• Cellular and molecular imaging
• Multimodality probe and reporter molecule development
• MR oximetry
• +۴ مورد دیگر

Vikram Kodibagkar is a Professor in the School of Biological and Health Systems Engineering at Arizona State University, with additional affiliations to the School of Medicine and Advanced Medical Engineering. He leads the Prognostic Bioengineering (ProBE) Lab, conducting cutting-edge research in cellular and molecular imaging, magnetic resonance physics, and biomedical engineering. Education: Ph.D. in Physics, Washington University, St. Louis (2002) M.Sc. in Physics, Indian Institute of Technology-Mumbai (1997) B.Sc. in Physics, University of Mumbai, India (1995) Research Focus: Professor Kodibagkar's research centers on developing advanced imaging technologies for medical applications. His work encompasses cellular and molecular imaging , multimodality probe development , and magnetic resonance oximetry . A key focus is the development of novel contrast agents and imaging techniques for detecting hypoxia in tumors and brain injuries. His lab also works on compressed sensing accelerated magnetic resonance spectroscopic imaging (MRSI) and functional imaging of implants . The ProBE Lab emphasizes comprehensive understanding of both theory and practical techniques to train the next generation of imaging leaders. Current research activities include developing non-invasive methods for real-time monitoring of engineered cells and tissues, investigating tumor oxygenation dynamics, and creating novel MRI nanosensors for various medical applications. Research Funding and Grants: Professor Kodibagkar has secured significant funding from major organizations including: National Institutes of Health (NIH) - Multiple R01 grants National Science Foundation (NSF) - CAREER Award US Department of Defense (DOD) DARPA/BTO Flinn Foundation Texas Higher Education Coordinating Board Teaching and Mentorship: He teaches various courses including BME 350 Signals & Systems for Bioengineers, BME 465/565 Magnetic Resonance Imaging, and supervises honors theses and research projects. His teaching spans undergraduate to doctoral levels, focusing on biomedical engineering and imaging technologies. Laboratory and Team: Professor Kodibagkar directs the Prognostic Bioengineering (ProBE) Lab at Arizona State University. The lab conducts interdisciplinary research combining engineering, physics, and medicine to develop next-generation imaging technologies for clinical applications.

• Materials Engineering
• Wood Science
• Biomaterials
• +۴ مورد دیگر

Lauri Rautkari is an Associate Professor in the Department of Bioproducts and Biosystems at Aalto University, Finland. His research focuses on water interactions in biomaterials, particularly wood, with an emphasis on developing advanced analytical methods for water vapor sorption, creating novel low-sorption materials, and investigating hygroscopicity and fungal decay resistance in modified wood systems. Research Highlights: Gas-phase ozone treatment for improved wettability, thermal and chemical wood modification, hyperspectral imaging for moisture prediction, bioinspired coatings for fungal protection, and interlaboratory studies on sorption data quality. Recent Publications: Key contributions to understanding lignin's role in moisture interactions, acetylation reversibility, and the impact of fungal degradation on heat-treated wood. The trend in his publications reflects a strong focus on hygroscopicity, chemical modification techniques (acetylation, melamine-formaldehyde impregnation), advanced imaging methods (hyperspectral, neutron scattering), and the development of sustainable wood-based materials for construction and acoustic applications. Collaborative interlaboratory efforts dominate his work, ensuring standardized methodologies for moisture analysis.

• Rock Mechanics
• Fracture Mechanics
• Tunneling
• +۴ مورد دیگر

Mikael Rinne serves as Associate Professor in Rock Mechanics within the Department of Civil Engineering at Aalto University, Finland. Holding a Doctor of Science in Technology (D.Sc. Tech.), he brings extensive industry experience from Finnish and Swedish consulting firms (1988-2008) where he specialized in rock engineering and project management for tunneling and geological disposal of radioactive waste. His research focuses on rock and fracture mechanics with direct applications to rock engineering, mining, and tunneling. Current investigations center on digital characterization methods including photogrammetry, videogrammetry, and virtual reality systems for both practical engineering solutions and educational advancement. His work addresses critical challenges in fracture hydro-mechanics, rock mass characterization, and sustainable mining practices. Analysis of his 15 most recent publications (2023-2025) reveals a strong emphasis on digital transformation in rock mechanics. Key trends include non-contact surveying techniques for rock mass characterization, scale effects in fracture properties, and virtual learning environments for engineering education. His research bridges theoretical modeling with field applications in tunneling, mining, and radioactive waste disposal, demonstrating consistent innovation in measurement technologies and computational methods. No scientific awards were mentioned in the source materials. While specific advising details and grant information were not provided, his leadership of the Mineral-based materials and mechanics research group indicates active supervision of graduate students and management of research projects. His industry background suggests strong connections with tunneling and mining sectors for applied research collaboration. He directs the Mineral-based materials and mechanics research group at Aalto University, which develops advanced methodologies for rock characterization and engineering applications. Current initiatives integrate digital tools like smartphone LiDAR, 360-degree cameras, and virtual reality systems to enhance both field practices and educational outcomes in rock engineering.

Claudia S. Leopoldمشاهده پروفایل

استاد

• Pharmaceutical Technology
• Drug Delivery Systems
• Tablet Formulation
• +۳ مورد دیگر

Professor Claudia S. Leopold serves as Professor and Head of the Institute of Pharmacy within the Department of Chemistry at the University of Hamburg's MIN Faculty. With over 35 years of academic experience, she leads the Pharmaceutical Technology Department and maintains an active research program focused on advanced pharmaceutical manufacturing processes and drug delivery systems. Her educational background includes a pharmacy degree from Heinrich-Heine-University Düsseldorf (1981-1985), followed by pharmacist certification in 1987. She completed her doctoral research in 1992 on skin penetration enhancement, conducted postdoctoral research at Stanford Research Institute and UC San Francisco, and achieved her habilitation in pharmaceutical technology in 1999. Her academic progression includes professorial positions at Leipzig University (2000-2005) before joining the University of Hamburg in 2005. Prof. Leopold's research program centers on pharmaceutical technology innovations, particularly in tablet formulation and manufacturing processes. Her laboratory investigates optimization of process flows during tableting, use of co-processed excipients, characterization of dustiness within containment systems, control of drug release through polymer interactions, and improving water solubility of active ingredients through co-amorphization techniques. Her work bridges fundamental pharmaceutical science with practical manufacturing applications, addressing critical challenges in modern pharmaceutical production. Her recent publications (2022-2025) demonstrate a strong focus on continuous manufacturing technologies, co-amorphous drug systems, and advanced process analytical techniques. These works reveal trends toward real-time monitoring of pharmaceutical processes, spatial analysis of powder behavior, and sophisticated approaches to enhancing drug solubility and stability. Her research group has made significant contributions to understanding powder flow dynamics, tablet coating mechanics, and the application of novel spectroscopic methods in pharmaceutical manufacturing. Habilitations-Förderpreis der Deutschen Pharmazeutischen Gesellschaft (1997) Ehrendoktorwürde (Dr. h.c.) (2020) Prof. Leopold has supervised over 25 doctoral students throughout her career, with recent dissertations focusing on powder characteristics, co-amorphous systems, continuous manufacturing optimization, and advanced tablet technologies. Her laboratory maintains strong industry connections through contract research in formulation development, tableting process optimization, drug release measurements, and expert consultation on pharmaceutical-technological issues. The research group operates specialized equipment for pharmaceutical technology studies and collaborates with international partners in continuous manufacturing and drug delivery research. The Leopold research group (AG Leopold) operates within the Institute of Pharmacy at the University of Hamburg, maintaining a comprehensive suite of equipment for pharmaceutical technology research. The team includes multiple scientific associates, research assistants, technical staff, and visiting scientists working collaboratively on various aspects of pharmaceutical development and manufacturing. The laboratory environment supports both fundamental research and applied contract work for industry partners, with particular expertise in tableting processes, drug delivery systems, and analytical method development for pharmaceutical applications.

• Topological Data Analysis
• Stochastic Geometry
• Large Deviations Theory
• +۴ مورد دیگر

Christian Hirsch is an Associate Professor for Data Science and Statistics at Aarhus University, where he studies random networks motivated from biology and health sciences through techniques from topological data analysis and stochastic geometry. He is a member of the Stochastics group at the Department of Mathematics and holds additional affiliations as an Associate Fellow of the Aarhus Institute for Advanced Studies, and with the AU DIGIT Centre and the AU Quantum Campus. Current Position: Associate Professor for Data Science and Statistics, Aarhus University Previous Positions: Assistant Professor at University of Groningen and University of Mannheim Postdoctoral Experience: Aalborg University, LMU Munich, WIAS Berlin Education: PhD from Ulm University Christian Hirsch's research focuses on the statistical foundations of topological data analysis, large deviations theory in stochastic geometry, and percolation theory of spatial random networks. His work bridges theoretical mathematics with practical applications in data science, particularly in analyzing complex structures through topological methods. He investigates how topological features form and disappear in growing data structures, developing statistical tests to determine whether observed patterns are significant or merely random occurrences. His recent publications reveal a strong trend toward applying topological data analysis to increasingly complex structures, with significant focus on statistical validation of topological features. Hirsch has made substantial contributions to understanding the probabilistic behavior of persistent homology, developing functional central limit theorems and large deviation principles for topological functionals. His work spans theoretical foundations in stochastic geometry while finding applications in materials science, neural networks, and wireless communication systems. As an educator, Hirsch teaches graduate courses including Topological Data Analysis, Stochastic Geometry, Monte Carlo Simulation, Markov Decision Processes, Probability Theory, and Stochastic Processes. He has supervised numerous PhD, MSc, and BSc students, with several of his former students securing academic positions at institutions like University of Leiden, Tokyo Institute of Technology, and Budapest University of Technology. Hirsch leads a research group within the Stochastics group at Aarhus University, collaborating extensively with researchers across Europe and North America. His work demonstrates how topological methods can provide rigorous statistical insights into complex data structures, making significant contributions to both theoretical mathematics and practical data analysis techniques.

Al-Amin Dhiraniمشاهده پروفایل

دانشیار

• Physical Chemistry
• Nanostructured Materials
• Quantum Nanoengineered Materials (q-NEMS)
• +۴ مورد دیگر

Al-Amin Dhirani is an Associate Professor in the Department of Chemistry at the University of Toronto, located in the Lash Miller Chemical Laboratories. His research focuses on nanoengineered materials, particularly quantum nanoengineered materials (q-NEMS), which exhibit emergent quantum phenomena. Key themes include bottom-up synthesis of nanostructured materials, development of novel fabrication techniques for 2D materials like MoS₂, and applications in green technologies and electrochemical sensing. Research interests emphasize hybrid molecule-nanostructure states (HYMNS) that enhance optical/electrical properties, as well as advanced applications such as conductivity meters and water electrolysis materials. His lab has pioneered methods for defect healing in exfoliated MoS₂ and scalable assembly of nanostructured films. Recent achievements include student milestones like Steven Gravelsins’ PhD completion and Monique’s NSERC postdoc fellowship. Located at 80 St. George Street, the Dhirani Lab collaborates on projects ranging from fundamental quantum transport studies to applied sensor technologies. The group actively publishes in top journals like ACS Nano and Communications Chemistry , with a focus on interdisciplinary material science and physics.

• School Mental Health
• Comprehensive School Mental Health Systems
• Workforce Development
• +۵ مورد دیگر

Nancy A. Lever, PhD, serves as Associate Professor in Psychiatry at the University of Maryland School of Medicine, Executive Director of the University of Maryland School Mental Health Program, and Co-Director of the Center for School Mental Health. With over 20 years of experience, she is a nationally recognized leader advancing comprehensive school mental health systems through clinical practice, research, and policy at local, state, and national levels. Her educational foundation includes: Dartmouth College, BA in Psychology (1991; Phi Beta Kappa) Temple University, MA in Clinical Psychology (1994) University of Maryland Medical System, Psychology Internship (1996) Temple University, PhD in Clinical Psychology (1997) University of Maryland School of Medicine, Postdoctoral Fellowship (1998) Dr. Lever's research pioneers multi-tiered behavioral health systems emphasizing quality, sustainability, and trauma-informed care. Her work establishes family-school-community partnerships as critical for dropout prevention, student resiliency after civil unrest, and workforce development. She developed the School Mental Health Quality Assessment Questionnaire to standardize service evaluation. Recent publications reveal evolving priorities: teacher/staff wellness, telemental health implementation, and national performance metrics. Her scholarship consistently bridges clinical innovation with systemic change, highlighting sustainability strategies for school mental health programs. Accolades include: NIH Loan Repayment Award for Clinical Research (2004-2006) Baltimore City Mayoral Citation (2006) Paula U. Hamburger Children’s Mental Health Champion Award (2016) Dartmouth College Phi Beta Kappa and three departmental awards (1991) She directs major grants including: Promoting Student Resiliency (U.S. Department of Education, 2016-2018) Expanded School Mental Health in Baltimore City (2007-2018) National Resource Center for Mental Health Promotion (SAMHSA, 2013-2017) Project AWARE-SEA (SAMHSA, 2014-2019) Dr. Lever shapes national discourse as Planning Committee Chair for the National Conferences for Advancing School Based Mental Health (2001-present) and through leadership in the National Coordinating Committee on School Health and Safety and Maryland State School Health Council.

• Machine Learning
• Graph Neural Networks
• Data Attribution
• +۴ مورد دیگر

Jiaqi Ma is an Assistant Professor at the University of Illinois at Urbana-Champaign (UIUC), holding dual appointments in the School of Information Sciences and the Siebel School of Computing and Data Science. Their research focuses on machine learning, graph neural networks, and data attribution, with particular emphasis on fairness in AI, large language models, and scalable algorithms. Ma has contributed to frameworks like dattri for efficient data attribution and GraSS for scalable influence functions. Research interests include graph learning (e.g., structural information analysis in text-attributed graphs), fairness in ML models (e.g., mitigating disparities in unlearning processes), and ethical AI applications. Collaborations span topics like data curation (DCA-Bench benchmark) and reinforcement learning transparency (A Snapshot of Influence). Key contributions include improving data removal while maintaining fairness (Fair Machine Unlearning), analyzing LLMs' graph structural utilization, and developing open-source tools like OpenHexAI for explainable ML evaluation. No scientific awards are explicitly listed, but their work reflects significant contributions to trustworthy AI and machine learning systems. Advising and grants: While specific students/grants are unlisted, Ma leads research teams advancing graph learning (e.g., Graph Learning Indexer platform) and safety-critical AI (e.g., unsafe data detection via attribution). Their work bridges theoretical foundations (e.g., influence functions) with practical applications (e.g., MNL model rankings).