جست‌وجوی استاد و پژوهشگر

• Child Development
• Adolescent Development
• Child & Adolescent Psychopathology
• +۳ مورد دیگر

Patricia Schacht is a Professor of Psychology and Neuroscience at North Central College specializing in Child and Adolescent Development. Her research examines how parenting styles, family dynamics, and contextual factors shape children's social-emotional growth, with direct community applications through educational advocacy and executive functioning support. Education: B.A. in Psychology, University of Notre Dame (2001) M.A. in Developmental Psychology, University of Cardiff, Wales (2005) Ph.D. in Developmental Psychology, University of Notre Dame (2007) Dr. Schacht's work bridges developmental theory with real-world impact, focusing on stress-coping mechanisms in youth, psychopathology pathways in adolescence, and the mediating role of parent-child relationships. Her longitudinal studies on marital conflict reveal how family systems influence child adjustment, leading to evidence-based interventions like community prevention programs. She actively translates research into practice through district-level reports and advocacy initiatives addressing educational accommodations. Her publication history shows consistent emphasis on family-centered interventions, evolving from foundational work on paternal influences (2009) to recent community impact studies (2018). Key thematic threads include longitudinal analysis of conflict resolution, cross-cultural mental health assessment, and program efficacy evaluation across developmental stages. Scientific Awards: Distinguished Teaching and Mentoring Award (2024) Dr. Schacht serves as a federal grant reviewer for the U.S. Department of Health and Human Services while maintaining community roles as an educational advocate and executive functioning tutor. She mentors the NCC women's soccer team and contributes to national education through College Board AP Psychology grading, demonstrating commitment to both scholarly rigor and student development. Her community partnerships with Naperville School Districts and Community Youth Team drive applied initiatives like 'State of the Kids' and 'StressMatters,' translating psychological research into actionable resources for schools and families.

Brian Horsakمشاهده پروفایل

دانشیار

• Clinical biomechanics
• Gait analysis
• Musculoskeletal loading
• +۵ مورد دیگر

Brian Horsak is a Privatdozent (equivalent to Associate Professor) at the University of Vienna, affiliated with the Department of Sport and Human Movement Science within the Faculty of Sports Sciences. He serves as a member of the PI Panel/Supervisors for the Sport Science program at the Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences (VDS PhaNuSpo). His research group is located at the St. Pölten University of Applied Sciences with strong collaboration to the Centre for Sport Science and University Sports at the University of Vienna. Dr. Horsak's primary research interests focus on clinical (gait) biomechanics and interdisciplinary approaches between therapy and technology. His work is dedicated to understanding musculoskeletal loading of the lower extremities during locomotion and exercise, and developing assistive technologies such as machine learning algorithms and virtual reality applications to support patients and therapists during rehabilitation. Specific areas include: Clinical gait analysis and biomechanics Musculoskeletal loading in lower extremities Patellofemoral instability and joint biomechanics Machine learning applications for gait classification Virtual reality for rehabilitation Biomechanics of obesity and pediatric movement disorders 3D motion capture and markerless technology His recent publications demonstrate a strong trend toward integrating advanced computational methods with clinical biomechanics. Over the past five years, his work has increasingly focused on smartphone-based motion capture systems, deep learning applications for gait analysis, and virtual reality environments. His research bridges engineering technology and clinical rehabilitation, with particular attention to knee biomechanics, patellofemoral disorders, and movement analysis in pediatric obesity. Dr. Horsak teaches courses including 'Methods and Concepts of Biomechanics and Sports Informatics' and serves as supervisor for PhD students Bernhard Dumphart and Mark Simonlehner. His research group maintains strong collaborations with the St. Pölten University of Applied Sciences and appears to be involved in multiple interdisciplinary projects combining sports science, engineering, and clinical rehabilitation.

Yihong Wuمشاهده پروفایل

استاد

• High-dimensional statistics
• Information theory
• Statistical inference on graphs
• +۳ مورد دیگر

Yihong Wu is the James A. Attwood Professor of Statistics and Data Science at Yale University, where he also serves as Chair of the Department of Statistics and Data Science. His academic career spans prestigious institutions with a focus on theoretical and applied statistical methods. His research bridges information theory and statistics, with applications across multiple domains of data science. Professor Wu's research focuses on the theoretical foundations of high-dimensional statistics, information theory, and optimization. His work explores dimensionality reduction through both intrinsic low-dimensionality (sparsity, smoothness) and extrinsic low-dimensionality (functional estimation). He has made significant contributions to understanding statistical-computational tradeoffs in problems involving random graphs and combinatorial structures. His research has important applications in machine learning, network analysis, and signal processing. His recent publications reveal a strong focus on information-theoretic approaches to statistical problems, with particular emphasis on graph matching, empirical Bayes methods, and high-dimensional inference. Wu's work consistently addresses fundamental questions about the limits of statistical estimation and the computational feasibility of achieving those limits. His research spans theoretical foundations while maintaining relevance to practical data analysis challenges. Professor Wu actively contributes to academic education through multiple graduate-level courses including Information Theory, Statistical Inference on Graphs, and Topics in High-Dimensional Statistics and Information Theory. His teaching reflects his research interests, emphasizing mathematical rigor and theoretical foundations.

Michaela Noreikمشاهده پروفایل

استاد

• Obesity Research
• Geriatric Nutrition
• Dietetics
• +۳ مورد دیگر

Prof. Dr. Michaela Noreik serves as Professor in the Department of Nutritional Science at Niederrhein University of Applied Sciences, Mönchengladbach, where she teaches Interdisciplinary Casework, Planetary Health Diet, and Special Seminar in Nutrition Research. She directs the Laboratory for Nutritional Status and maintains active consultation hours for student engagement. Her educational foundation includes a Dr. rer. medic. in nutritional therapy evaluation from Universität zu Köln (2009-2012) and dual degrees in Oecotrophology (Fachhochschule Münster) and Nutrition and Dietetics (Fachhochschule Nimwegen, NL) completed between 2004-2008. Noreik's research centers on obesity interventions, geriatric nutrition, and sustainable dietary systems. She leads projects including OWL (Online Weight Loss programmes), CReDDI (dietary intervention metabolism studies), and SwapSHOP (digital grocery interventions). Her work bridges clinical practice with academic rigor, emphasizing evidence-based approaches to nutritional assessment and therapy standardization. Recent publications (2013-2021) reveal strong focus on digital health interventions for weight management, dietary approaches to type 2 diabetes, and nutritional implications in neurodegenerative conditions. Her methodology frequently employs randomized controlled trials and systematic reviews, with growing emphasis on planetary health frameworks and sustainable food systems. Her scientific recognition includes: 2019 Award of Excellence for Consistent Outstanding Performance (Oxford University) Noreik has secured significant third-party funding for clinical studies in obesity and oncology during her Oxford tenure. Current student projects involve developing nutrition assessment databases and implementing mobee®360 digital platforms. She actively supervises interdisciplinary casework modules with healthcare disciplines. She established the Laboratory for Nutritional Status at Niederrhein University and previously built nutrition teams at St. Marien-Hospital Köln. Her international collaborations include Hogeschool van Arnhem en Nijmegen and Umeå University for planetary health initiatives, reflecting her commitment to transnational research networks.

Daye Namمشاهده پروفایل

استادیار

• Software Engineering
• Artificial Intelligence
• Human-Computer Interaction
• +۳ مورد دیگر

Daye Nam is an Assistant Professor in the Department of Informatics at the University of California, Irvine, where they design, build, and evaluate AI tools for developers using natural language processing techniques. Their work sits at the intersection of software engineering, artificial intelligence, and human-computer interaction, with a strong focus on creating useful and usable tools that make software development more accessible, efficient, and enjoyable. Education PhD in Software Engineering, Carnegie Mellon University (2018-2024) MS in Computer Science, University of Southern California (2016-2018) BS in Computer Science, Yonsei University (2012-2016) Research Interests Dr. Nam's research focuses on designing, building, and evaluating AI tools for programmers at all levels, with an emphasis on making these tools both useful and usable. Their work spans several key areas including machine learning for software engineering (ML4SE), developer experience, and human-AI interaction. They employ a user-centered approach that involves conducting empirical studies to understand programmers' needs, building and training machine learning models based on those insights, creating tools for programmers, and evaluating them using human-computer interaction methods. Their research has particular relevance to AI-powered developer tools, API documentation and discovery, and educational applications of AI for programming students. Publications and Research Trends Dr. Nam's recent publications demonstrate a clear trajectory toward understanding and improving how developers interact with AI systems. Their work increasingly focuses on empirical studies of developer-AI interaction, particularly with large language models for code generation and understanding. There's a strong emphasis on understanding trust in AI systems among developers, measuring the actual impact of AI on development speed, and designing tools that balance automation with user control. Their research methodology often combines log analysis, user studies, and the development of novel AI-powered tools that address specific developer pain points. Scientific Awards and Honors Best Tool Paper Award at ASE ACM Student Research Competition 2nd Place SIGSOFT CAPS Student Travel Award for FSE ACM SIGSOFT NSF Travel Award NSF Travel Award for ICSE SIGSOFT Best Research Award from University of Southern California Teaching and Service Dr. Nam teaches SWE 233: Intelligent User Interfaces at UC Irvine, guiding students through the design and evaluation of AI-powered interfaces for software development. They have previously served as a Teaching Assistant and Co-Instructor for Foundations of Software Engineering at Carnegie Mellon University. In terms of service, they've been on program committees for major software engineering conferences including ICSE, ASE, and FSE, and have reviewed papers for journals like TOSEM and Empirical Software Engineering. They've also been active in student support programs, organizing and mentoring for graduate applicant support initiatives.

Qiang Weiمشاهده پروفایل

استاد مدعو

• Cancer Genomics
• Epigenetics
• Computational Biology
• +۳ مورد دیگر

Qiang Wei, Ph.D., is an Adjunct Research Instructor in the Department of Molecular Physiology and Biophysics at Vanderbilt University School of Medicine. His research focuses on computational and systems biology approaches to study genomic and epigenomic mechanisms in cancer, drug response prediction, and disease risk gene prioritization. He has pioneered integrative frameworks combining multi-omics data (genomics, epigenomics, transcriptomics) with clinical information for precision medicine applications. Key research areas include: Developing computational tools for analyzing non-coding variants and DNA methylation patterns Characterizing tumor heterogeneity through circulating tumor DNA (ctDNA) and circulating tumor cells (CTCs) Identifying genomic drivers of therapy resistance in metastatic cancers Integrating GWAS data with functional genomics for disease mechanism discovery His work spans multiple cancer types including breast, prostate, and hepatocellular carcinoma, with a particular emphasis on translating genomic insights into clinical diagnostics and therapeutic strategies. Ongoing projects include optimizing liquid biopsy approaches for early cancer detection and leveraging single-cell technologies to understand tumor evolution. In recent years, his lab has developed novel algorithms like TVAR for functional variant analysis and Bayesian frameworks for multi-omics integration. These methods have been applied to study schizophrenia genetics, autism risk genes, and platelet reactivity regulation.

Peter Swobodaمشاهده پروفایل

دانشیار

• Exercise and Cardiac Disease
• Heart Failure Diagnosis/Treatment
• Cardiac Imaging
• +۳ مورد دیگر

Dr. Peter Swoboda is an honorary Associate Professor in Cardiology at the University of Leeds and a consultant cardiologist. His research focuses on the interplay between exercise and cardiac disease, particularly in aging populations, funded by the British Heart Foundation. He also investigates advancements in heart failure diagnosis and treatment. Clinically, he specializes in cardiac imaging, leading the cardiac MRI service at Mid Yorkshire Teaching Hospitals Trust and serving on the British Society for Cardiovascular Magnetic Resonance (BSCMR) board. His research portfolio includes studies on myocardial fibrosis in endurance athletes, arrhythmia risk in veteran athletes, and the diagnostic utility of 4D flow MRI. He leads the CE-MARC 3 trial, evaluating cost-effective approaches to stable chest pain management. Over 15 peer-reviewed articles from 2025–2023 highlight his work in cardiac imaging, ischemia, and post-COVID cardiac involvement. No scientific awards are listed. His clinical roles include overseeing MRI services and contributing to national cardiovascular imaging guidelines. He actively collaborates on studies involving cardiac mechanics, genetics of cardiomyopathy, and exercise physiology impacts on cardiac structure.

• Musculoskeletal Health
• Physiotherapy
• Sports Medicine
• +۳ مورد دیگر

Dr. Justin Sullivan is a Lecturer in Physiotherapy at the University of Sydney. He is affiliated with the Sydney Southeast Asia Centre and focuses on musculoskeletal health, sports injury epidemiology, and biomechanics. His research explores topics such as spinal kinematics in low back pain, ACL injury prevention in athletes, and the role of mechanical factors in plantar heel pain. Sullivan has secured grants for studies on motion analysis using wearable sensors and plantar heel pain etiology. His work emphasizes translational research to improve clinical outcomes and healthcare service design. Education: Details not explicitly stated in available text. Research interests include musculoskeletal disorders, sports biomechanics, and evidence-based physiotherapy practices. Recent studies investigate spinal kinematics in chronic low back pain and the heritability of motion in healthy populations. He has contributed to redesigning hospital care pathways for back pain patients and evaluating wearable sensor technologies for athletic performance analysis. Publications span injury epidemiology, biomechanical assessment, and clinical trial methodologies. Grants include a 2019 project on motion analysis (ATSE Bridging Grant) and a 2008 study on plantar heel pain (NSW Podiatrists Registration Board). Labs/Teams: Collaborations with the Sydney Southeast Asia Centre and interdisciplinary teams in musculoskeletal research.

Xue-Mei Liمشاهده پروفایل

استاد

• Stochastic Analysis
• Geometric Stochastic Analysis
• Malliavin Calculus
• +۵ مورد دیگر

Xue-Mei Li is a Professor of Mathematics at Imperial College London and École Polytechnique Fédérale de Lausanne (EPFL). She holds chairs in Probability and Stochastic Analysis at both institutions. Her research focuses on stochastic analysis, geometric stochastic processes, and multi-scale systems, with contributions to areas like Malliavin calculus, fractional dynamics, and coarse curvature. Li has held positions at the University of Warwick, University of Connecticut, and others, supported by fellowships from the Alexander von Humboldt Foundation, Royal Society, and MSRI. Her work addresses fundamental questions in stochastic differential equations, geometric analysis, and their applications to complex systems. Education and Career: PhD in Mathematics, University of Warwick EPSRC Research Associate Faculty positions at the University of Connecticut (tenured Associate Professor) Research Interests: Her research spans stochastic differential equations (SDEs), stochastic partial differential equations (SPDEs), geometric stochastic analysis, and fractional dynamics. Notable contributions include the BEL formula, strict local martingales, and solutions to longstanding problems in strong completeness on non-compact manifolds. She explores interactions between stochastic processes and geometric structures, including coarse Ricci curvature and homogenization theory. Awards and Grants: Supported by NSF, EPSRC/UKRI, and Swiss NSF grants Awarded fellowships from Alexander von Humboldt Foundation, Royal Society, and MSRI Advising and Teams: PhD students: Johann Gehringer, Rhys Steel, Julian Sieber, and others Leading working groups on stochastic analysis and geometric dynamics

Daniel Kressnerمشاهده پروفایل

استاد

• Numerical Linear Algebra
• High-Performance Computing
• Matrix Equations
• +۴ مورد دیگر

Prof. Daniel Kressner is a Professor at the École Polytechnique Fédérale de Lausanne (EPFL), holding positions in the School of Basic Sciences (SB), Mathematics Institute (MATH), and the Numerical Algorithms and High-Performance Computing (ANCHP) group. He also leads the SMA-ENS unit within the SB-SMA division. His research focuses on numerical linear algebra, high-performance computing, and tensor approximation methods, with applications in scientific computing and data science. Education details are not explicitly listed, but his career at EPFL includes leadership in key research groups and doctoral programs. He supervises multiple doctoral students, including Alice Cortinovis, Peter Effenberger, and others. Research interests emphasize low-rank methods, matrix equations, and efficient algorithms for large-scale problems. Recent work includes advancements in randomized algorithms, tensor networks, and preconditioning techniques for eigenvalue problems. His publications span high-impact journals like Siam Journal on Matrix Analysis and Applications and Numerical Linear Algebra with Applications, addressing topics such as compressed sensing, multigrid methods, and distributed signal processing. Prof. Kressner advises doctoral candidates and contributes to the Program doctoral Mathématiques (EDMA-GE) committee. His lab, ANCHP, develops software tools for hierarchical matrices and tensor computations, such as the hm-toolbox for HODLR and HSS matrices.

James F Carmodyمشاهده پروفایل

استاد

• Mindfulness
• Meditation
• Psychological mechanisms
• +۵ مورد دیگر

James F Carmody, PhD is a Professor at UMass Chan Medical School with dual appointments in the Department of Medicine and Department of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine. He is a leading researcher in mindfulness-based interventions and their psychological and neural mechanisms, with over forty-five years of meditation practice across Zen, Tibetan, Theravada and Advaita traditions. Education: Ph.D. from University of Iowa, 1971 Dr. Carmody's research focuses on the psychological and neural mechanisms of mindfulness and mind-body processes, examining how these can modify distress and enhance well-being. His work spans evolutionary psychology, stress reduction, meditation practices, and their clinical applications for conditions including chronic pain, PTSD, asthma, and hot flashes. He has made significant contributions to understanding how mindfulness training affects brain structure and function, particularly in relation to emotional regulation and stress response. Analysis of Dr. Carmody's recent publications reveals a consistent focus on mindfulness-based stress reduction (MBSR) across multiple clinical contexts. His work demonstrates expertise in comparative effectiveness research, examining mindfulness against other therapeutic approaches for chronic pain conditions. There's a strong emphasis on identifying specific mechanisms of action and understanding how mindfulness interventions produce clinical benefits across diverse populations from veterans with PTSD to patients with chronic medical conditions. Research Leadership: Principal Investigator on multiple NIH-funded clinical trials Former Director of Research for the Center for Mindfulness Lead investigator on studies examining mindfulness for chronic pain, PTSD, asthma, hot flashes, and smoking cessation Dr. Carmody teaches mindfulness courses for clinicians, focusing on making the conceptualization and psychological mechanisms of mindfulness straightforward, jargon-free, and practically accessible for patient care. His research has been widely featured in national and international media including the New York Times (reaching #1 on the most emailed list), NPR, ABC, and numerous other outlets.

• Parkinson's Disease
• Neurology
• Movement Disorders
• +۴ مورد دیگر

Mary S Feldman, DO, is an Associate Professor of Neurology at the Geisel School of Medicine, Dartmouth College. She holds leadership roles as Director of the Neurology Residency Program at Dartmouth-Hitchcock and Co-Director of the Movement Disorders Center and Parkinson's Disease Center of Excellence. Her research focuses on Parkinson's disease, telemedicine applications in neurological therapy, and rare neurological disorders. She has contributed to studies on deep brain stimulation optimization, machine learning in disease characterization, and pharmacological interventions for Parkinson's-related symptoms. Her work bridges clinical practice and innovation, including randomized controlled trials evaluating treatments for movement disorders and constipation management. She also engages in medical education research, particularly in assessment methodologies for workplace learning. Feldman's publications span topics from neurodegenerative mechanisms to clinical trial outcomes, reflecting her dual expertise in patient care and translational research. She actively collaborates with institutions like Dartmouth-Hitchcock Medical Center and affiliated hospitals, contributing to multidisciplinary efforts in neurology and medical education.

Christopher Klineمشاهده پروفایل

دانشیار

• Physical Activity
• Sleep Medicine
• Cardiometabolic Risk
• +۴ مورد دیگر

Dr. Christopher Kline is an Associate Professor in the Department of Health and Human Development at the University of Pittsburgh's School of Education. His research focuses on the interplay between physical activity, sleep, and cardiometabolic health, with a particular emphasis on sleep disturbances like insomnia and sleep apnea. He holds a BA in Sports Science from Malone College and an MS/PhD in Exercise Science from the University of South Carolina. Prior to joining the School of Education in 2015, he served as an Assistant Professor in the Department of Psychiatry at the University of Pittsburgh. Dr. Kline’s research group, ExerSleep, explores how physical activity can mitigate sleep disorders and their health impacts, while also studying how poor sleep affects physical activity patterns. His work spans topics such as athletic performance optimization through sleep science, circadian rhythms, and the combined effects of sleep and exercise on cardiovascular health. He has contributed to large-scale studies like the Pregnancy 24/7 cohort and the Sleep and Dementia Consortium. Key research interests include sleep architecture’s role in dementia risk, the effects of sedentary behavior on cardiovascular health, and interventions like yoga to improve sleep and mood in insomnia patients. His publications span clinical trials, observational studies, and meta-analyses addressing sleep’s broader implications for public health. Dr. Kline actively mentors students seeking research experience in sleep and exercise science, requiring a minimum 5-10 hour weekly commitment for 2 semesters. He emphasizes hands-on training in sleep assessment techniques like actigraphy and polysomnography. His work has been recognized through collaborations with organizations like the American Heart Association and the American College of Sports Medicine. Current projects include investigating the impact of circadian timing on energy balance and the relationship between sleep reactivity and health outcomes in adults with insomnia.

Philippe Cinquinمشاهده پروفایل

استاد

• Computer-Assisted Medical Interventions (CAMI)
• Medical Robotics
• Biomimetic Medical Devices
• +۴ مورد دیگر

Philippe Cinquin is a Professor of Medical Informatics and Director of TIMC-IMAG (UMR5525), a CNRS-Université Joseph Fourier research unit. He leads the CAMI (Computer Assisted Medical Interventions) Labex and co-heads INSERM's CIC-IT 803 clinical investigation center. With a PhD in Applied Mathematics and Medical Doctor qualification, he pioneered surgical robotics and computer-aided interventions since 1984, benefiting over 100,000 patients through startup innovations. His recent work focuses on symbiotic implantable devices, energy scavenging for medical implants, and hydrogen therapy. He received the 2013 CNRS Innovation Award and 2014 Ambroise Paré Surgical Award. Research interests span biomimetic devices, medical robotics, and innovative therapies including transdermal hydrogen delivery. He has developed implantable systems like intestinal reactors and biosensors, with applications in diabetes treatment and pandemic response. His work integrates mathematics, signal processing, and nanotechnology to advance minimally invasive surgery and autonomous medical implants. Key contributions include virtual fluoroscopy systems for navigation, enzymatic biofuel cells, and reusable PPE sterilization methods during the pandemic. His interdisciplinary teams collaborate across engineering, medicine, and computer science to address clinical challenges through technological innovation. Education: PhD in Applied Mathematics; Medical Doctorate Grants & Startups: Founded multiple companies commercializing surgical navigation systems and diagnostic devices Labs: TIMC-IMAG, CAMI Labex, CIC-IT 803 clinical innovation center

• Synthetic Biology
• CRISPR-Based Gene Circuits
• Molecular Engineering
• +۳ مورد دیگر

Yasu Xu is a Postdoctoral Researcher at the McGovern Institute for Brain Research, part of MIT's renowned Brain and Cognitive Sciences program. Their research focuses on synthetic biology, particularly leveraging CRISPR-Cas systems to engineer programmable gene circuits in Escherichia coli. Xu's work emphasizes the design of bistable genetic toggle switches and plasmid systems with tunable copy numbers, integrating principles from physics and systems biology to improve CRISPR-based circuit performance. Research interests span synthetic biology, gene regulation mechanisms, and microbial engineering with applications in biotechnology and biomedical research. Xu's contributions address challenges in programmable genetic systems, including circuit stability, thermodynamic determinants of CRISPR-Cas interactions, and high-throughput assay development.