جست‌وجوی استاد و پژوهشگر

Lelys Guenniمشاهده پروفایل

دانشیار بالینی

• Environmental Statistics
• Climate Change Impacts
• Risk Assessment
• +۳ مورد دیگر

Lelys Guenni is a Clinical Associate Professor in the Department of Statistics and affiliated with the Center for Latin American and Caribbean Studies at the University of Illinois at Urbana-Champaign. She holds a PhD in Environmental Sciences from Griffith University (Australia) and has over 25 years of teaching experience at Simón Bolívar University in Venezuela. Her research focuses on environmental statistics, spatial-temporal analysis, and risk assessment under climate change. She has held visiting appointments at the University of California, Santa Cruz, and Northern Illinois University. Her expertise includes Bayesian modeling, wavelet analysis, and hydrological studies. She contributed to the Millennium Ecosystem Assessment as a lead author and was part of the IGBP’s Biospherical Aspects of the Hydrological Cycle project. Education: PhD in Environmental Sciences, Griffith University, Australia. MSc in Water Resources Engineering, Simón Bolívar University. Bachelor in Mathematics, Simón Bolívar University. Her research spans climate change impacts, extreme rainfall patterns, and environmental vulnerability. Key areas include water quality analysis in Cambodia, malaria vector ecology in Brazil, and renewable energy forecasting using neural networks. Awards: Recipient of the Zayed International Prize for the Environment (2005). Editorial Roles: Editor for Hydrology and Earth System Sciences , Heliyon , and Environmetrics . Her work bridges environmental data science with policy, emphasizing interdisciplinary approaches to ecological challenges.

• Nephrology
• Transplantation Medicine
• Pediatrics
• +۵ مورد دیگر

Dr. Anna Francis is a Clinical Senior Lecturer affiliated with the Sydney School of Public Health at the University of Sydney, within the Faculty of Medicine and Health. Her work focuses on nephrology, transplantation medicine, and public health, particularly examining disparities in healthcare outcomes for children and adolescents with chronic kidney disease (CKD). She is actively involved in clinical trials like NAVKIDS2, which evaluates patient navigator programs for CKD care, and contributes to global studies such as INCEPTION on kidney transplant strategies. Her research emphasizes sex-based differences in transplant mortality, socioeconomic factors impacting access to transplantation, and the quality of life of CKD patients. She also explores equity and diversity in the nephrology workforce, aiming to address systemic inequities in healthcare delivery and professional representation. Key publications span 2015–2024, with recent work addressing heart transplant mortality disparities, the longitudinal health of pediatric CKD patients, and the design of interventions to improve care access. Francis collaborates extensively with teams in Australia, New Zealand, and globally, contributing to both observational studies and randomized controlled trials.

Delin Sunمشاهده پروفایل

استادیار

• Neuroimaging
• Post-Traumatic Stress Disorder (PTSD)
• Mental Disorders
• +۳ مورد دیگر

Delin Sun is an Assistant Professor in the Department of Psychiatry & Behavioral Sciences at Duke University School of Medicine. His research focuses on neuropsychological and behavioral correlates of PTSD, adolescent trauma, and brain development using neuroimaging and machine learning techniques. He holds a Ph.D. from the University of Science and Technology of China. Education: Ph.D., University of Science and Technology of China, 2008 Research Interests: Dr. Sun investigates structural and functional brain changes in PTSD and trauma using advanced neuroimaging methods, including network-graph analysis and machine learning. His work explores the neural mechanisms underlying social cognition, addiction, and mental disorders such as Alzheimer’s and depression. He collaborates with the ENIGMA consortium on large-scale neuroimaging projects. Grants: Structural and Functional Architecture of Cortico-Cerebellar Systems in PTSD (NIH, 2025–2029) Genomic Architecture of Functional Brain Networks in PTSD (NIMH, 2023–2026) Professional Activities: Recent presentations include talks at the Society of Biological Psychiatry meetings and the Anxiety & Depression Association of America conference. He has authored over 60 peer-reviewed publications, focusing on PTSD biomarkers, cortical networks, and neuroimaging methodologies.

• Spectroscopy
• Electrochemistry
• Materials Science
• +۳ مورد دیگر

Günter Trettenhahn is an Assistant Professor affiliated with the Department of Physical Chemistry within the Faculty of Chemistry. His work focuses on advanced spectroscopic techniques applied to electrochemical systems, particularly involving graphene oxide and surface protein interactions. He has been active in research since 1993, with notable contributions to materials science, electrochemistry, and surface characterization. Research Interests: His research emphasizes in-situ Fourier Transform Infrared Spectroscopy (FTIR) for studying electrochemical processes. Key areas include: Electrochemical reduction of graphene oxide Control of protein orientation on metallic surfaces Design of novel electrode systems for real-time analysis Awards: Dr. Wolfgang Houska-Anerkennungspreis (2007) File Posterpreis des Dt. Arbeitskreises für Angewandte Spektroskopie (1991) Preis für gute Lehre 2022 (2023) Professional Activities: He has delivered multiple presentations and posters on topics such as electrochemical control of surface proteins and laser-pulse-induced diagnostics at solid-fluid interfaces. Notable activities include contributions to conferences in 2013 and collaborations on interdisciplinary projects involving spectroscopic and electrochemical methods.

Ling Liمشاهده پروفایل

استاد

• Biostatistics
• Quantitative methods in health service research
• Health evaluation
• +۵ مورد دیگر

Professor Ling Li is a faculty member at the Australian Institute of Health Innovation (AIHI) and leads the Centre for Health Systems and Safety Research. She holds concurrent roles as a Specialist Advisor at the Therapeutic Goods Administration (TGA) and an Associate Editor for BMC Health Services Research. Her expertise spans biostatistics and health services research, focusing on patient safety, healthcare delivery optimization, and clinical epidemiology. She has a PhD in Statistics, MBiostats, MComBus, MComIT, and BEcon degrees. Her research interests include biostatistics, quantitative health service methodologies, sepsis management, and medication safety. Notable projects include developing risk identification tools for early sepsis detection, evaluating healthcare IT impacts, and analyzing large-scale clinical datasets. She has contributed to over 180 peer-reviewed publications and leads several funded projects addressing healthcare system challenges, such as improving emergency department efficiency and reducing unprofessional behaviors in clinical teams. Professor Li has served on the NHMRC Grant Review Panel and the TGA’s Advisory Committee on Vaccines, reflecting her role in shaping national health policies and guidelines. Her work emphasizes translational research, bridging statistical rigor with real-world healthcare applications to enhance patient outcomes and system efficiency.

H.J. de Poelمشاهده پروفایل

استادیار

• Perceptuo-Motor Control and Coordination
• Interpersonal Coordination
• Systems Dynamics
• +۵ مورد دیگر

Dr. H.J. (Harjo) de Poel is an Assistant Professor at the Faculty of Medical Sciences of the University of Groningen, affiliated with the Center for Human Movement Sciences in the Department of Sport Sciences. His research focuses on movement interaction , particularly in cyclical movements and sports contexts, using nonlinear dynamical systems and coordination dynamics approaches. Key areas include interpersonal coordination in sports (e.g., rowing, tennis), athlete-environment interactions, and modeling motor control patterns. He teaches courses such as Multivariate Statistics and Dynamical Systems in Sports Science. His research has explored topics like crew rowing synchronization, virtual leader-following dynamics, and the biomechanics of jumping injuries. He actively contributes to conferences and interdisciplinary projects, emphasizing systems thinking in sports science. Dr. de Poel’s work bridges theoretical models (e.g., coupled oscillators) with applied studies, aiming to improve collective and individual athletic performance through insights into socio-motor interactions. His lab and team collaborate on projects involving movement variability, affordance perception, and rehabilitation implications of rhythmic activities.

• Aerospace Engineering
• Control Systems
• Deep Learning
• +۵ مورد دیگر

Dr Will Jacobs is a Research Fellow at the University of Sheffield's School of Electrical and Electronic Engineering. His work focuses on advanced control systems, nonlinear system identification, and deep learning applications in aerospace and energy systems. He is affiliated with the Amy Johnson Building in Sheffield, S1 3JD, and can be contacted at w.jacobs@sheffield.ac.uk or +44 114 222 5671. Research interests include distributed digital twins for fleet management, fault detection in civil nuclear plants, and interpretable machine learning for complex systems. His recent work emphasizes resource-constrained system monitoring, economic control strategies for aerospace fleets, and frequency-domain analysis for nonlinear systems. Jacobs' interdisciplinary approach bridges electrical engineering, control theory, and applied mathematics. Publications span 2014–2024, with a focus on gas turbine health monitoring, Bayesian system identification, and convolutional neural networks for in-flight anomaly detection. His research contributes to both theoretical advancements and practical industrial applications in energy systems and aerospace engineering. No scientific awards are explicitly listed in the provided information. His advising record is not publicly detailed here, though his involvement in doctoral training and research collaborations is implied through project participation.

Geert van Kollenburgمشاهده پروفایل

استادیار

• Artificial Intelligence
• Data-Driven Process Analysis
• Process Optimization
• +۷ مورد دیگر

Dr. Geert van Kollenburg is an Assistant Professor in the Department of Operations Planning Accounting & Control at Eindhoven University of Technology, affiliated with the EAISI Foundational initiative. His research focuses on integrating artificial intelligence, data analysis, and process control in industrial contexts, emphasizing transparent and explainable AI models. He holds a multidisciplinary background with a BSc in Psychology, MSc/PhD in Statistics, and postdoctoral work in chemometrics and machine learning. Key research areas include data-driven process optimization in semiconductor manufacturing, chemical production, and sustainable supply chains. His work addresses challenges such as predictive modeling in multiblock process data (Process PLS), food authenticity using NIR spectroscopy, and AI explainability in medical diagnostics. He has published over 24 peer-reviewed articles, including notable contributions to Computers and Chemical Engineering , Food Control , and Sustainable Development . Teaches courses: Fundamentals of Financial Accounting, Sustainable Supply Chains, System Dynamics Supervised 6 academic works Contributed to UN Sustainable Development Goals through supply chain and environmental studies His methodologies emphasize practical applications, such as low-cost NIR spectroscopy for quality control and predictive discarding in Industry 5.0. Collaborations span academic and industrial partners globally, addressing real-world problems with holistic, data-driven solutions.

• Medical Oncology
• Hematology
• Critical Care Medicine
• +۳ مورد دیگر

Dr. Minh Nguyen is a Clinical Professor of Medicine with a focus on oncology and critical care. He currently serves on the Pharmacy and Therapeutics Committee at Hoag Hospital. His research emphasizes chemotherapy side effect management, drug efficacy in hematological disorders, and critical care pharmacology. Dr. Nguyen earned his MD from Wayne State University School of Medicine, followed by residency and a Medical Oncology Fellowship at William Beaumont Hospital. He has been recognized for academic excellence, including Clinical Honors in Neurology and Pediatrics during medical school. His research interests include prevention of chemotherapy-induced alopecia via scalp hypothermia, tumor lysis syndrome treatment efficacy, and thrombin inhibitor use in critical care settings. His work bridges clinical practice with technological advancements, such as automated mobility assessment systems and image retrieval algorithms. Awards: Clinical Honors in Neurology (2000–2001) National Golden Key Honor Society Member (1996) Class Valedictorian (1993) Dr. Nguyen’s contributions span clinical oncology and biomedical engineering, with notable work in wearable sensor technology and disaster response data analysis.

• Information Theory
• Machine Learning
• Deep Neural Networks
• +۷ مورد دیگر

Shujian Yu is an Assistant Professor at the Department of Artificial Intelligence , part of the Faculty of Science at Vrije Universiteit Amsterdam. He is also affiliated with the Network Institute . His research focuses on Information Theory , Machine Learning , and Deep Neural Networks , with applications in causal discovery, brain network analysis, and generalization bounds. Key research interests include: Information-Theoretic Methods for ML interpretability and robustness Transfer entropy and causal inference in complex systems Feature selection and dimensionality reduction techniques Brain network-based psychiatric diagnosis (e.g., schizophrenia analysis) He teaches courses on Data Mining Techniques , Deep Learning , and Introduction to Reinforcement Learning . Recent work explores hierarchical state space models, Cauchy-Schwarz divergence applications, and Granger causality in chemical processes. His collaborations span interdisciplinary fields including neuroscience and industrial engineering. Publications emphasize theoretical foundations while addressing practical challenges in ML generalization, adversarial robustness, and sequential decision-making.

• Biostatistics
• Chronic Kidney Disease
• Dialysis
• +۵ مورد دیگر

Danh V. Nguyen, PhD is a Professor in the Division of General Internal Medicine & Primary Care within the Department of Medicine at the University of California, Irvine School of Medicine. His academic career focuses on applying advanced statistical methodologies to complex medical problems, particularly in the field of nephrology and chronic disease management. Dr. Nguyen's research interests span biostatistics, chronic kidney disease, dialysis outcomes, hospital readmission patterns, and patient-centered outcomes research. His work frequently involves developing and applying sophisticated statistical models to analyze longitudinal healthcare data, with particular emphasis on multivariate joint modeling approaches that can simultaneously address multiple clinical outcomes. Analysis of his recent publications reveals a strong focus on comparative effectiveness research between conservative management and dialysis for advanced CKD patients, with particular attention to cognitive function, mortality risk, and quality of life outcomes. His methodological expertise in spatiotemporal modeling and multivariate statistical approaches has been applied to diverse clinical areas including traumatic brain injury, diabetes management in kidney disease patients, and neonatal critical care outcomes. Dr. Nguyen has received substantial NIH funding for his research, with multiple grants from NIDDK, NCATS, and other institutes supporting his work on kidney disease outcomes and healthcare delivery. His research often involves large national datasets and multicenter collaborations, particularly with Veterans Affairs healthcare systems.

Ulrike Senftlebenمشاهده پروفایل

پژوهشگر

• Decision Making
• Cognitive Neuroscience
• Social Interactions
• +۳ مورد دیگر

Dr. Ulrike Senftleben is a Researcher at the Department of Psychology at TU Dresden. She holds roles as Equal Opportunities Officer of the Faculty of Psychology and committee member for quality management in teaching and learning. Her research focuses on decision-making processes, cognitive neuroscience methodologies (EEG, VR), and social interactions. She has conducted postdoctoral research at TU Dresden and Aston University (2020-2022). Her educational background includes a B.Sc., M.Sc., and Ph.D. in Psychology from TU Dresden (2011-2020). Research interests span decision-making under stress, neural mechanisms of cognitive control, and applications of virtual reality in behavioral studies. Notable areas include framing effects in food choice decisions and EEG analysis of conflict monitoring during value-based decisions. Publications emphasize interdisciplinary approaches, combining neuroscience techniques with behavioral economics principles. Recent work explores the neural dynamics of set-shifting and the impact of social distance on decision strategies. Teaching responsibilities include multivariate statistics and R programming for psychology students.

Gabriel Blecherمشاهده پروفایل

مدرس ارشد

• point-of-care ultrasound
• efficient use of diagnostic testing in emergency medicine
• qualitative analysis of the patient experience
• +۳ مورد دیگر

Gabriel Blecher is an Emergency Physician and Clinical Director of Emergency at Peninsula Health, with additional roles at Cabrini Hospital Emergency Department and My Emergency Doctor (telehealth provider). He holds a ORCID and is affiliated with Monash University as a Senior Lecturer in the Faculty of Medicine . Education : Master of Science in Epidemiology from the University of Ottawa (Canada) Research Interests focus on point-of-care ultrasound , diagnostic testing efficiency , and patient experience analysis . His work spans emergency telehealth , implementation science , and critical care protocols , with recent studies on COVID-19 prognosis and multimedia distraction strategies . Scientific Awards : Monash Health Emerging Researcher Fellowship (2014) Projects : Leading two initiatives funded by the Australian Department of Health and Aged Care, including "Just Say No to the Just in Case Cannula" (2023–2029) and a digital health intervention for pathology feedback (2023–2026).

Fanny Franchiniمشاهده پروفایل

پژوهشگر ارشد

• Clinical Medicine
• Data Science
• Precision Medicine
• +۷ مورد دیگر

Dr Fanny Franchini is a Senior Research Fellow and Senior Data Scientist at the Cancer Health Services Research Unit, Melbourne School of Population and Global Health, University of Melbourne. She holds a PhD in Clinical Medicine from the University of Oxford, specializing in tumour micro-environment and immune regulatory networks in colorectal cancer. Her work bridges clinical medicine and data science to improve cancer care equity, precision medicine development, and policy-informing research. She utilizes clinical registries and population-based datasets to enhance treatment outcomes and reduce disease burden. Her research focuses on immune-related adverse events from immunotherapy, cost-effectiveness of genomic medicine, and deintensification strategies in oncology. She has pioneered the PRIMCAT models for predicting population health economic impacts of cancer treatments and led projects like AUSTRALI-AVE evaluating real-world treatment patterns. Fanny actively engages in public outreach to promote cancer awareness and teaches R/data science methods to foster research collaboration. Her work emphasizes actionable insights for healthcare policies, including analyses of travel distance impacts on palliative radiotherapy access and socioeconomic factors influencing Medicare costs. She collaborates with patient groups to advance consumer-led research and advocates for interdisciplinary approaches in healthcare delivery.

Tobias H. Donnerمشاهده پروفایل

استاد

• Neurophysiology
• Cognitive Neuroscience
• Decision-Making Processes
• +۳ مورد دیگر

Prof. Tobias H. Donner is a Professor and Deputy Director at the Institute of Neurophysiology and Pathophysiology, part of the Universitätsklinikum Hamburg-Eppendorf. His research focuses on neurophysiological mechanisms underlying decision-making, neuromodulation, and cognitive processes. Key areas include the role of arousal systems in shaping cortical interactions, neurotransmitter dynamics (serotonin, noradrenaline), and computational models of evidence accumulation. His work bridges clinical and experimental neuroscience, investigating topics like psychosis proneness, aging-related cognitive changes, and neuropsychiatric disorders. Recent studies explore how catecholamines modulate decision biases and sensory processing. Donner’s lab employs advanced neuroimaging techniques (fMRI, MEG) and pharmacological interventions to dissect neural circuitries involved in perceptual and cognitive functions. Publications highlight themes such as pupil-linked arousal biomarkers, GABAergic inhibition in auditory processing, and large-scale brain network dynamics. Despite extensive contributions, no specific academic awards are explicitly listed in the provided texts. Advising and grant details are not detailed here, though his role as Principal Investigator suggests active research leadership. His work is conducted within the Center for Experimental Medicine, emphasizing translational research between basic neuroscience and clinical applications.