جست‌وجوی استاد و پژوهشگر

Kwangmin Leeمشاهده پروفایل

استادیار

• Language Testing and Assessment
• TESOL
• Second Language Acquisition
• +۵ مورد دیگر

Kwangmin Lee is an Assistant Professor in the Department of Special Education and Literacy Studies at Western Michigan University, where he specializes in TESOL and language assessment. His research integrates quantitative methodologies with applied linguistics to advance understanding of second language reading and writing assessment. Research Interests: Dr. Lee's work centers on language testing and assessment, particularly using statistical and psychometric approaches to analyze second language learners’ performance. His expertise includes educational measurement, research methods in TESOL, and the validation of assessment tools. He investigates areas such as automated writing evaluation, rater reliability, test motivation, and the cognitive aspects of reading and writing in EFL contexts. The recent publications highlight a strong trend in psychometrics, validity, and the application of advanced quantitative techniques—including item response theory, confirmatory factor analysis, and machine learning—to problems in language assessment. His work frequently appears in top-tier journals such as Language Testing , Assessing Writing , and System . Scientific Contributions: Published in leading journals in applied linguistics and language assessment Focused on improving the validity and reliability of language tests Developed and validated assessment instruments for writing self-efficacy and critical thinking Explored technological and cognitive dimensions of language learning and testing Advising and Grants: While specific students or funded grants are not mentioned in the available text, Dr. Lee’s research profile suggests active mentorship potential in quantitative research methods and language assessment. His methodological rigor positions him to lead or contribute to large-scale research initiatives, particularly those involving data-driven evaluation of language programs. Labs and Research Teams: There is no explicit mention of a lab or research team in the provided information. However, his interdisciplinary focus on measurement, statistics, and language learning suggests potential collaboration with educational research centers or language technology initiatives.

Thomas Reitzمشاهده پروفایل

پژوهشگر

• Soil Ecology
• Microbial Community Structure and Function
• Global Change Ecology
• +۷ مورد دیگر

Dr. Thomas Reitz is a Guest Scientist at the Department of Soil Ecology, UFZ-Centre for Environmental Research Leipzig-Halle, and since 2025 has served as Scientific Leader of the Crop Research Unit at the Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg (MLU). His research focuses on soil microbial communities in the context of global change, land use, and plant-microbe interactions. He is actively involved in large-scale experimental platforms such as the Global Change Experimental Facility (GCEF) and the APPLE analytical pipeline. Ph.D. in Applied Natural Sciences, Helmholtz-Centre Dresden-Rossendorf / TU Bergakademie Freiberg (2011) Diploma in Biology (Microbiology), TU Dresden (2006) Dr. Reitz’s research interests center on the structure and function of soil microbial communities, their adaptation to environmental stressors (drought, heavy metals, pathogens), and their role in terrestrial carbon and nutrient cycles. He investigates how the soil microbiome contributes to plant growth and stress resistance, integrating molecular, biochemical, and ecological techniques. His work spans microbial community analyses, enzyme assays, and spectroscopic methods. The recent publications highlight a strong focus on soil-plant-microbe interactions under global change conditions, including climate manipulation, land-use intensity, fertilization regimes, and drought stress. Key themes include nutrient cycling, microbial resilience, synthetic microbial communities, phytoremediation, and sustainable agricultural practices. The studies employ experimental field and lab platforms, often involving long-term monitoring and meta-analyses. Dr. Reitz has no listed scientific awards in the provided text. He contributes to research coordination, particularly in third-party funded projects, and mentors collaborative research efforts. His work is embedded in national and international consortia, including the German Centre for Integrative Biodiversity Research (iDiv). He collaborates extensively across disciplines and institutions, contributing to large-scale ecological experiments and analytical developments. He is involved in major research platforms: the Global Change Experimental Facility (GCEF), where he coordinates third-party funding; the APPLE pipeline for soil eco-indicators; and the PhytOakmeter network. These platforms support integrative research on soil functions, microbial dynamics, and ecosystem responses to environmental change.

Hisham Mohammedمشاهده پروفایل

مدرس ارشد

• Evidence-based orthodontics
• Smile analysis
• Artificial intelligence in orthodontics
• +۴ مورد دیگر

Dr. Hisham Mohammed is a Senior Lecturer & Discipline Lead in Orthodontics at the University of Queensland's School of Dentistry. He holds a dental degree from Future University, a Master's in Orthodontics (Distinction) from the University of Dundee, and a PhD from the University of Otago. He is a Specialty Member of the Royal Colleges of Surgeons of England and Glasgow. His research focuses on evidence-based orthodontics, AI applications, smile analysis, and miniscrew implant outcomes. Dr. Mohammed has attracted significant research funding and received the Sir John Walsh Research Award. His work spans clinical trials, systematic reviews, and algorithm development for smile analysis. Education: PhD in Orthodontics, University of Otago (2022) Master of Orthodontics, University of Dundee (Distinction) Dental Degree, Future University His research interests emphasize translating clinical evidence into practice, particularly through AI-driven diagnostics and patient adherence strategies. He has pioneered studies on malocclusion's impact on smile aesthetics and developed algorithms for automated smile detection. Dr. Mohammed's work on tele-orthodontics and sensor technologies addresses modern challenges in patient compliance and remote monitoring. He has published 27+ journal articles, 4 conference papers, and a PhD thesis. His awards include the Sir John Walsh Research Award, recognizing contributions to orthodontic science. Awards: Sir John Walsh Research Award Specialty Membership (Royal Colleges of Surgeons, England/Glasgow) Dr. Mohammed supervises higher degree research students and is actively involved in advancing orthodontic education and clinical practice through interdisciplinary collaborations.

Claudia Buengelerمشاهده پروفایل

استاد

• Leadership
• Diversity Management
• Team Effectiveness
• +۳ مورد دیگر

Prof. Dr. Claudia Buengeler is a Full Professor and Chair of the Department of Human Resource Management and Organization at Kiel University's Institute of Business. She is also an affiliated faculty member at the Amsterdam Business School, University of Amsterdam. Her academic journey includes a PhD in Business Administration and Social & Organizational Psychology from Jacobs University Bremen and VU University Amsterdam. Her research focuses on leadership dynamics, diversity management, and team effectiveness, with a particular emphasis on age bias, gender studies, and organizational behavior. She has held editorial roles at prominent journals such as Organizational Psychology Review and Journal of Applied Psychology . Her recent work includes groundbreaking studies on age bias in leadership ( The Leadership Quarterly , 2025), gendered perspectives on leadership through feminist frameworks ( Journal of Leadership & Organizational Studies , 2024), and intersectional analyses of young leaders ( Frontiers in Psychology , 2023). She leads the Experimental Lab at Kiel University, exploring applied research in organizational contexts. Collaborations with global scholars highlight her international academic influence. Professional contributions include over 50 peer-reviewed articles and book chapters, reflecting her expertise in team dynamics, diversity training efficacy, and leadership transitions. Her research bridges theoretical insights with practical applications for organizations navigating demographic shifts and complex leadership challenges.

Luh Putu Lila Wulandariمشاهده پروفایل

مدرس

• HIV/AIDS prevention
• sexually transmitted infections
• sexual and reproductive health
• +۱۲ مورد دیگر

Dr Luh Putu Lila Wulandari is a Lecturer in the Surveillance, Evaluation, and Research Program at the Kirby Institute, University of New South Wales (UNSW Sydney). Her work focuses on strengthening health systems in low- and middle-income countries (LMICs) through addressing social determinants of health and improving access to services and medical technologies. HIV/AIDS prevention Sexually transmitted infections Maternal health services Neglected tropical diseases Antimicrobial resistance Public health surveillance Her research integrates epidemiology , global health , and health systems analysis to tackle infectious disease challenges. She leads initiatives targeting high-risk populations, including studies on program evaluation , point-of-care diagnostics , and policy implementation . Recent publications include systematic reviews on HIV care retention (2024), scoping analyses of HIV stigma (2025), and mixed-methods studies on antibiotic dispensing practices (2021-2022). Her work establishes connections between infectious disease management , pandemic preparedness , and equity in healthcare access . WHO Indonesia RFP-094 (2020) Kirby Institute Emerging Investigator Award (2019) Dr Wulandari holds a PhD and contributes to applied research in public health. Her methodological expertise spans qualitative stakeholder analysis , cross-sectional surveys , and meta-analytic synthesis , with a focus on translating findings into actionable health strategies for LMICs.

Stacey Kenfieldمشاهده پروفایل

دانشیار

• Cancer Epidemiology
• Nutritional Epidemiology
• Prostate Cancer
• +۷ مورد دیگر

Stacey Kenfield, ScD, is a faculty member at the University of California San Francisco (UCSF), affiliated with the School of Medicine and the Department of Epidemiology and Biostatistics. She is a leading researcher in cancer epidemiology, with a focus on prostate cancer, lifestyle interventions, and survivorship. As Principal Investigator on multiple NIH-funded studies, she has advanced understanding of how diet, exercise, and behavior influence cancer outcomes. Education: BS, Physiological Science, UCLA, 2000 MS, Epidemiology, Harvard School of Public Health, 2003 ScD, Epidemiology, Harvard School of Public Health, 2006 Dr. Kenfield's research centers on nutritional epidemiology, exercise oncology, and behavioral health in cancer survivors. Her work explores how plant-based diets, physical activity, sleep, and mHealth interventions impact prostate cancer progression, quality of life, and survival. She emphasizes health equity and community engagement, particularly in diverse and underserved populations. Her recent publications reveal a strong trend in lifestyle-based interventions for cancer survivors, with a focus on modifiable risk factors such as diet, physical activity, and sleep. The studies span clinical trials, cohort analyses, and meta-reviews, often incorporating patient-reported outcomes and genomic or microbiome data to understand mechanisms. Collaboration is central to her research, with frequent co-authorship across UCSF and national institutions. Scientific Awards: Harvard School of Public Health Teaching Assistant Award Association of Schools of Public Health and Legacy Foundation STEP-UP Award Fellowship (pre-doctoral) NIH Research and Career Development Award in Nutritional Epidemiology of Cancer (pre- and post-doctoral) American Association for Cancer Research Minority Scholar in Cancer Research Award Michael Milken Prostate Cancer Foundation Young Investigator Award Dr. Kenfield has led major NIH-funded grants including R01CA207749 on web-based lifestyle interventions in prostate cancer and R21CA184605 on exercise for men with metastatic prostate cancer. She mentors junior researchers and collaborates widely on studies involving behavioral interventions, cancer survivorship, and health disparities. While specific advisees are not listed, her leadership in large trials suggests active mentorship. Her work continues to inform clinical guidelines and public health strategies for cancer survivors. She is actively involved in multi-institutional research teams such as the INTERVAL-GAP4 Trial and the EMOVES study, which focus on physical activity and community-engaged lifestyle interventions. These teams include experts in oncology, epidemiology, urology, and behavioral science, reflecting the interdisciplinary nature of her research.

Niaz Ahmedمشاهده پروفایل

استاد مدعو

• Neurology
• Vascular Neurology
• Stroke Research
• +۷ مورد دیگر

Niaz Ahmed is an Adjunct Professor at the Department of Clinical Neuroscience, Karolinska Institutet. He serves as a senior consultant (overläkare) and head of research and education at the Neurology division of Karolinska University Hospital. His academic journey includes a Doctor of Philosophy (2003) and Master of Medical Science (1999) from Karolinska Institutet, and a medical degree (1995) from Dhaka Medical College, Bangladesh. Research Interests: Vascular neurology with focus on stroke Acute treatment and secondary prevention strategies Reperfusion therapies (thrombolysis/thrombectomy) Blood-brain barrier restoration Cerebral edema and hemorrhagic transformation Anticoagulation timing in stroke patients Recent Publications: His 15 most recent articles (2025-2018) examine blood pressure dynamics after thrombectomy, anticoagulation timing post-reperfusion, statin effects on stroke outcomes, cerebral edema risk factors, and thrombolysis in special populations (elderly, minor stroke). These studies leverage the SITS International Stroke Registry, which he co-founded. Academic Leadership: As chairman of SITS International (since 2019), he oversees a global registry with data from over 350,000 stroke patients across 1400 centers. He coordinates the I-Stroke II phase-III trial and contributes to clinical guideline development. Clinical & Educational Roles: He supervises doctoral students, serves as course leader for neurology in physiotherapy education, and teaches neurology residents and medical students at Karolinska University Hospital.

Qiang Guoمشاهده پروفایل

مدرس ارشد

• Formal Methods
• Software Engineering
• Distributed Systems
• +۵ مورد دیگر

Dr Qiang Guo is a Senior Lecturer in Computer Science at Teesside University, affiliated with the Department of Computing & Games within the School of Computing, Engineering and Digital Technologies. He holds a PhD in Computer Science from Brunel University London and has previously worked as a Research Associate/Fellow at the University of Sheffield, Robert Gordon University, and the University of Cambridge, as well as a Senior Software Engineer at MasterCard. PhD, Computer Science, Brunel University London (2023) Master, Computational Intelligence, University of Plymouth Bachelor, Industrial and Electrical Automation, Xi'an University of Architecture and Technology PGCert in Higher Education, Teesside University His research focuses on Formal Methods in Software Engineering , particularly model-checking and testing of Distributed and Concurrent Systems . He integrates Artificial Intelligence techniques into Software Conformance Testing and explores Algorithmic Skeleton-based Parallel Computing for software engineering applications. His work addresses verification challenges in Erlang/OTP systems, extended finite state machines, and timed components. Dr Guo’s publications highlight a trajectory in Formal Verification , Automated Testing , and Optimization Techniques . Key themes include the application of Genetic Algorithms to finite state machine testing, Process Algebra (μCRL/mCRL) for telecommunications systems, and Testability Transformations to improve structural coverage. Trends reflect interdisciplinary bridges between Software Engineering and AI . As a Principal Investigator (PI) for the Innovate UK-funded project MC-IoT: Model Checking IoT Systems (2024-25, £31,907), he leads research in IoT system verification. He also contributed as Co-Investigator (Co-I) to the Parrot AI Enterprise Project (2023, £40k). Dr Guo is affiliated with the Centre for Digital Innovation , where he contributes to advancing software engineering methodologies. His work involves collaboration with academic and industrial partners to address real-world challenges in system verification and distributed computing.

Andreas C. Lehmannمشاهده پروفایل

استاد

• Music Psychology
• Empirical Music Pedagogy
• Cognitive Science
• +۵ مورد دیگر

Andreas C. Lehmann is Professor of Systematic Musicology and Music Psychology at the University of Music in Würzburg (since 2000) and Vice President for Studies, Teaching, and International Affairs. His work bridges empirical research with music pedagogy and cognitive psychology. Education : Degree in School Music (1987) and English Studies (Hanover University of Technology); Certificate in Computers in Music Instruction (Florida State University, 1989); Doctorate in Musicology (Hanover, 1992). Research : Focuses on music cognition, emotion, expertise, talent, and socialization, with applications in music education and performance. Key themes include deliberate practice, improvisation, and psychophysiological responses to music. Collaborations : Worked with K. Anders Ericsson (Florida State), R. Kopiez (Hogrefe publications), and international institutions (Norwegian Academy of Music, University of Music and Theatre Hanover).

TAI Bee Chooمشاهده پروفایل

دانشیار

• Clinical Trials
• Non-Compliance in Randomized Clinical Trials
• Meta-Analysis with Trial Sequential Analysis
• +۳ مورد دیگر

TAI Bee Choo is an Associate Professor at the Saw Swee Hock School of Public Health and a joint faculty member at the Yong Loo Lin School of Medicine, National University of Singapore (NUS). Her work focuses on clinical trial design, meta-analysis, and handling non-proportional hazards in survival analysis, with a particular emphasis on competing risks. Education: PhD in Medical Statistics (London School of Hygiene & Tropical Medicine), MSc in Medical Statistics, Graduate Diploma in Statistics, and BA from NUS. Her research integrates biostatistics with clinical oncology, cardiovascular studies, and behavioral health. Key contributions include methodological advancements in trial sequential analysis and non-compliance adjustments in randomized trials. She has authored foundational texts like Regression Methods for Medical Research and Randomized Clinical Trials: Design, Practice and Reporting . Recent publications address immunotherapy response in nasopharyngeal carcinoma, sleep-depression links in aging cohorts, and digital health interventions for diabetes and hypertension. Her work spans clinical oncology (e.g., durvalumab trials), mental health (screen time effects), and health systems (antiplatelet adherence post-myocardial infarction). Awards: Chartered Statistician (Royal Statistical Society), NUS Teaching Excellence Awards (2015/16, 2021/22). Leadership: Director of Biostatistics Division at NCIS Centre, Associate Editor for Pharmaceutical Statistics , and member of NHMRC grant review panels.

• Cancer Epidemiology
• Biostatistics
• Genetic Variants
• +۳ مورد دیگر

Colin B. Begg is a Professor of Biostatistics in the Population Health Sciences department at Weill Cornell Medical College. His research focuses on cancer epidemiology, genetic variant analysis, and clinical trial methodology. Key Research Areas: Melanoma survival genetics, tumor clonality testing, cancer risk prediction models, and clinical trial design optimization. Recent Contributions: Developed mutation context analysis frameworks, validated population-based clinical trial data sources, and advanced statistical methods for molecular epidemiology studies. Publication Trends: Recent articles emphasize biostatistical approaches to cancer genomics, including driver mutation identification in melanoma, vitamin D-binding protein variants in oncology, and improved variable selection techniques for clinical models. His work bridges computational methods with clinical application across oncology and epidemiology.

David Abrahamsمشاهده پروفایل

استاد

• Applied Mathematics
• Theoretical Physics
• Wave Processes
• +۹ مورد دیگر

Professor David Abrahams is a leading figure in applied mathematics, currently affiliated with the University of Cambridge as the Professor of Applied Mathematics in the Department of Applied Mathematics and Theoretical Physics and a Professorial Fellow at Corpus Christi College. Previously, he served as Director of the Isaac Newton Institute for Mathematical Sciences (2016-2021) and held the Beyer Chair of Applied Mathematics at the University of Manchester (1998-2016). His research spans wave processes, acoustics, fluid-structure interactions, and interdisciplinary applications in geophysics and finance. His recent work includes public engagement initiatives like the UK Festival of Mathematics and its Applications, and collaborative projects such as the Lost Meteorites of Antarctica Programme. He has made significant contributions to mathematical finance, nonlinear viscoelasticity, and glacier dynamics. BSc (Eng), PhD (Imperial College London) FIMA (Fellow of the Institute of Mathematics and its Applications) FRSE (Fellow of the Royal Society of Edinburgh) Research trends focus on wave propagation, metamaterial design, and geophysical modeling. His scientific awards include the Royal Society Wolfson Research Merit Award (2013-2016) and Royal Society Industry Fellowship. He collaborates with institutions like the University of Manchester's Mathematics of Waves and Materials Group and the International Centre for Mathematical Sciences. Professor Abrahams has over 40 years of experience in wave theory and its applications, with extensive publications in acoustics, elasticity, and interdisciplinary mathematics. He continues to lead research on Antarctic meteorite entrapment and debris-covered glacier melting mechanisms.

Joseph Simmonsمشاهده پروفایل

استاد

• Research Methods
• Judgment and Decision Making
• Consumer Behavior
• +۲ مورد دیگر

Joseph Simmons is the Dorothy Silberberg Professor of Applied Statistics and Professor of Operations, Information, and Decisions at the Wharton School , University of Pennsylvania. His research focuses on improving research credibility through methodological innovation and combating biases in judgment and decision-making. Education: Not explicitly mentioned Research Interests include research methods , judgment and decision-making , and consumer behavior . He investigates biases in human decisions (e.g., anchoring effects, optimistic biases) and advocates for practices like pre-registration to enhance scientific rigor. Recent Articles highlight his work on confidence intervals in advice-taking, overconfidence in belief distributions, and methodological tools like specification curve analysis to address analytical bias. Scientific Awards: MBA Excellence in Teaching Award (2019, 2014, 2013, 2012) Helen Kardon Moss Anvil Award for outstanding teaching (2013) Advising: Mentors students in judgment and decision-making research through Wharton courses. Labs: Co-founded the Wharton Credibility Lab , which develops tools (e.g., AsPredicted.org, ResearchBox) to promote research transparency.

Maria Alice V. Willrichمشاهده پروفایل

استاد بالینی

• Clinical Immunology
• Diagnostic Immunology
• Monoclonal Gammopathies
• +۳ مورد دیگر

Maria Alice V. Willrich, Ph.D., is a Clinical Chemist and Consultant in the Department of Laboratory Medicine and Pathology at Mayo Clinic in Rochester, Minnesota. She specializes in Clinical and Diagnostic Immunology , focusing on test development for monoclonal antibody therapies, monoclonal gammopathies, and complement system analysis using mass spectrometry. Her work aims to improve biomarker accuracy for demyelinating diseases and immunodeficiencies. Education: Ph.D., Pharmaceutical Sciences & Clinical Chemistry, University of Sao Paulo (2011) M.S., Pharmaceutical Sciences & Clinical Chemistry, University of Sao Paulo (2006) B.S., Pharmaceutical Sciences & Clinical Analyses, Universidade Federal de Santa Catarina (2003) Research Interests span four key areas: (1) laboratory testing for monoclonal gammopathies , (2) analysis of immunoglobulin free light chains in cerebrospinal fluid , (3) complement system dysfunction , and (4) innovative mass spectrometry methods for monoclonal antibody detection . Her recent publications highlight advancements in therapeutic drug monitoring, complement assay validation, and biomarker discovery for multiple myeloma and multiple sclerosis. Scientific Awards 2023 Teacher of the Year, Mayo Clinic 2021 Outstanding Scientific Achievements by a Young Investigator, Association for Diagnostics & Laboratory Medicine Multiple Young Investigator and Travel Awards (2013–2023) 2014 Laboratory Scientist Award, Association for Medical Laboratory Immunologists Professional Leadership Chair, Immunology and Infectious Disease Division, Association for Diagnostics & Laboratory Medicine (2024–present) Program Director, Clinical Chemistry Post-Doctoral Fellowship Program (2022–present) Chair, American Association for Clinical Chemistry Clinical Diagnostic Immunology (2020–2022) Laboratory and Team Affiliations include the Division of Clinical Biochemistry and Immunology at Mayo Clinic and contributions to the Complement Alternative Pathway Thrombotic Microangiopathy (CAP-TMA) Disease Oriented Group . Her work integrates mass spectrometry, immunology, and clinical diagnostics to address challenges in autoimmune and plasma cell disorders.

Frank Tuylمشاهده پروفایل

مدرس

• Applied Statistics
• Biostatistics
• Statistical Theory
• +۳ مورد دیگر

Dr. Frank Tuyl is a Lecturer at the University of Newcastle, affiliated with the College of Engineering, Science and Environment and the School of Information and Physical Sciences , with a focus on Data Science and Statistics . He holds a PhD in Statistics from the University of Newcastle and has over 20 years of experience in statistical and operations research consulting across manufacturing, IT, academia, and health sectors. Research Expertise: Applied Statistics, Biostatistics, Statistical Theory Email: frank.tuyl@newcastle.edu.au Dr. Tuyl specializes in Bayesian methods and applications, particularly in prior elicitation, posterior predictive distributions, and handling zero-event scenarios in statistical modeling. His work spans healthcare monitoring, tobacco use projections, financial statistics, and clinical prediction rules. He has contributed to the development of credible intervals for probabilistic evidence in physical therapy and epidemiology. His 2024 article in Statistical Science revisits Jeffreys' century-old prior point mass methodology for binomial distributions, while earlier works focus on Bayesian consensus priors, multinomial models, and global tobacco trends. His publications demonstrate a consistent application of Bayesian inference across public health, clinical diagnostics, and industrial statistics. Supervision and Grants: Dr. Tuyl has served as Principal or Co-Supervisor for four PhD completions. He has secured 10 grants totaling $638,341, primarily from the World Health Organization, Department of Health and Aged Care (Australia), and internal University of Newcastle funds. Projects include mortality impact analysis for tobacco interventions, Bayesian hierarchical modeling, and statistical tool development for the WHO Interactive Smoking Projection Tool.