جست‌وجوی استاد و پژوهشگر

Natalia S Ivascuمشاهده پروفایل

استاد

• Anesthesiology
• Medical Ethics
• Cardiac Surgery Outcomes
• +۳ مورد دیگر

Natalia S Ivascu is a Professor of Medical Ethics and Clinical Anesthesiology at Weill Cornell Medical College, Cornell University. She holds dual appointments in the Department of Medicine and Department of Anesthesiology. Her research focuses on cardiac anesthesiology, critical care, and translational medicine, with a strong emphasis on ethical dilemmas in medical practice and the application of artificial intelligence in clinical decision-making. Dr. Ivascu earned her M.D. from Wayne State University School of Medicine (2001) and a B.S. from the University of Michigan (1997). Her work spans clinical practice, ethics, and innovation, including studies on perioperative outcomes, blood transfusion strategies, and gender disparities in healthcare. Her research interests include optimizing surgical and ICU care through technology integration, improving patient safety via interdisciplinary huddles, and addressing systemic inequities in cardiac care. Notable recent work includes trials on pathogen-reduced cryoprecipitate, AI applications in anesthesiology, and gender-based disparities in cardiogenic shock management. No scientific awards are explicitly listed. Her advisory roles and grants are not detailed in the provided text, though her prolific publication record reflects sustained academic engagement. She contributes to the Cardiac Anesthesia and Critical Care teams at Weill Cornell, focusing on translational research bridging clinical practice and ethical frameworks.

Robert Lodderمشاهده پروفایل

استاد

• Pharmaceutical Quality Control
• Near-Infrared Spectroscopy
• Drug Formulation Development
• +۴ مورد دیگر

Robert Lodder is a Professor in the Department of Pharmaceutical Sciences at the University of Kentucky, affiliated with the Stanley and Karen Pigman College of Engineering. His research focuses on pharmaceutical quality control, near-infrared spectroscopy, drug formulation development, and biomedical engineering applications. He leads efforts to improve drug manufacturing processes and ensure pharmaceutical product quality through advanced analytical techniques. His work bridges engineering principles with clinical pharmacy, addressing critical issues such as content uniformity in drugs, process analytical technology (PAT), and detection of manufacturing defects. Lodder has pioneered applications of near-infrared (NIR) spectrometry for rapid drug screening, including antibiotics, antineoplastics, and biologics. He also investigates atherosclerosis mechanisms using non-invasive spectroscopic methods, contributing to cardiovascular disease research. Lodder's publications emphasize real-time pharmaceutical monitoring systems, counterfeit drug detection, and regulatory science innovations. His interdisciplinary approach integrates data-driven methodologies with medical and engineering challenges, such as developing novel statistical techniques for weak signal detection in drug quality assessment. Though no awards are listed here, his contributions to pharmaceutical quality assurance and spectroscopic methodologies suggest significant recognition in academic and industry circles. He collaborates on device development for medical interventions, including implantable sensors and tamper-resistant pill technologies. Lodder's research also extends to public health initiatives, such as establishing sentinel networks for drug quality surveillance.

• Radiation Oncology
• Pediatric Oncology
• Radiotherapy Techniques
• +۵ مورد دیگر

Anna Embring is affiliated with the Department of Oncology-Pathology at Karolinska Institutet, working within Åsa Carlsson Tedgren's research group. She holds a Medical degree (2002) and a Doctoral degree (2023) from Karolinska Institutet. Her research focuses on radiation oncology, particularly pediatric tumor reirradiation, proton therapy, and optimizing clinical radiotherapy protocols. Key research areas include: Reirradiation safety and efficacy in CNS tumors Proton therapy dosimetry and side effect profiling National guideline development for pediatric radiotherapy Long-term outcomes of radiation therapy in children Recent work highlights include: Systematic evaluation of proton vs photon radiotherapy toxicity Development of Swedish pediatric CNS tumor reirradiation guidelines Analysis of cumulative dose effects in head and neck cancers Current grant-funded research includes the REMIT project (2024-2025) exploring reirradiation for diffuse midline glioma. She has contributed to over 30 peer-reviewed publications since 2017, emphasizing translational research between dosimetric innovation and clinical practice.

Augusto Ferranteمشاهده پروفایل

استاد

• Control Theory
• Quantum Computing
• Linear Algebra
• +۵ مورد دیگر

Augusto Ferrante is a Full Professor at the Department of Information Engineering, University of Padova. His research spans control theory, quantum computing, and linear algebra, with a focus on optimal control, spectral estimation, and matrix analysis. University: University of Padova Department: Information Engineering Research Interests: Ferrante's work addresses theoretical and applied problems in control systems, including quantum control, Riccati equations, and covariance matrix estimation. His contributions bridge mathematical rigor with engineering applications, particularly in spectral analysis and optimization. Publications Trends: His recent work (2014-2012) emphasizes quantum channel estimation, entropy-based spectral methods, and generalized Riccati equations, reflecting a synthesis of control theory and quantum information science. Book Chapters: He has co-authored works on modeling, estimation, and control, including a 2007 Modeling, Estimation and Control volume dedicated to Giorgio Picci.

Giorgio Picciمشاهده پروفایل

استاد

• Stochastic Systems
• System Identification
• Control Theory
• +۲ مورد دیگر

Giorgio Picci is a Full Professor in the Department of Information Engineering at the University of Padova, Italy, holding this position since 1980. His academic career includes prior roles as Lecturer (1970-1975) in Statistics, Researcher (1973-1980) at LADSEB-CNR, and Associate Professor (1975-1980) in Electrical Engineering at the same institution. International appointments include Brown University, MIT, University of Kentucky, Arizona State University, Kyoto University, and Washington University. He received his Dr. Engineering degree (cum laude) in Electronic Engineering from the University of Padova in 1967. Professor Picci's research pioneered a geometric framework for stochastic systems centered on Markovian Splitting Subspaces , providing probabilistic analogs of state-space concepts. This work revolutionized understanding of minimality in stochastic models and solved noncausal estimation problems. Current research focuses on: Subspace Identification : Addressing closed-loop systems and statistical properties of multivariable system identification Reciprocal Processes : Modeling finite-support signals (e.g., images) to eliminate border effects of traditional methods Mechanical Systems Identification : Using variational integrators for well-conditioned recovery of continuous-time parameters His publication record (2002-2014) demonstrates deep integration of control theory, linear algebra, and statistical estimation. Key trends include unifying subspace identification algorithms, advancing covariance extension for reciprocal processes, and developing robust methods for ill-conditioned identification problems in mechanical systems. Professor Picci leads the Padova research unit that developed breakthrough closed-loop subspace identification algorithms. His collaborations span global institutions including the Royal Institute of Technology (Stockholm) and MIT, with ongoing work on recursive identification and statistical properties of subspace estimates.

Selina Wangمشاهده پروفایل

استاد

• Food Science
• Food Chemistry
• Agricultural Chemistry
• +۳ مورد دیگر

Selina Wang is a Professor and Department Vice-Chair in Food Science and Technology at the University of California, Davis. Her research focuses on chemical quality, purity, and nutritional parameters in fruit and vegetable post-harvest processing, with an emphasis on olive and avocado oils. She leads the Wang Laboratory, specializing in developing detection methods for adulteration, optimizing processing techniques, and identifying quality markers. Dr. Wang holds a Ph.D. in Physical Organic Chemistry from UC Davis (2008) and a B.A. in Chemistry from UC Santa Cruz (2003). Her work bridges academia and industry, collaborating with growers, processors, and government agencies to address food quality challenges. Her research interests include olive oil quality assessment, phenolic compound analysis, and the development of rapid analytical tools. Recent work explores antimicrobial applications of olive byproducts and oxidation mechanisms in plant oils. She has authored over 150 publications, with a focus on food chemistry, analytical methods, and agricultural product quality. Notable awards include the 2024 Timothy L. Mounts Award from the American Oil Chemists Society and the 2021 Excellence in Research Award from UC Davis. Her extension activities include educational workshops and one-on-one consultations on food quality standards.

Mark Wilsonمشاهده پروفایل

مدرس ارشد

• Theoretical Computer Science
• Network Science
• Computational Social Choice
• +۳ مورد دیگر

Mark Wilson is a Part-time Senior Lecturer at the University of Massachusetts Amherst, affiliated with the College of Information and Computer Sciences. His research focuses on Theoretical Computer Science, Network Science, and Computational Social Choice, with emphasis on signed networks, collective decision-making algorithms, and asymptotic analysis. He holds a PhD in Mathematics from the University of Wisconsin-Madison and has extensive experience in academia, previously serving at the University of Auckland’s Department of Computer Science. Wilson’s work bridges mathematics and social sciences, analyzing networks via graph models and real data. Key areas include structural balance in signed networks, legislative citation analysis, and algorithmic performance evaluation. He leads a 2019–2021 NSF-funded project linking brain structure, individual decisions, and group dynamics through experiments and simulations. His advocacy spans open access publishing reforms, including co-founding the Free Journal Network and drafting the Fair Open Access Principles. His research collaborations include projects with Caterina Stamoulis, Jie Gao, and others. He actively mentors students like Samin Aref and Neda Sakhaee, whose work appears in journals such as Artificial Intelligence and Law and Networks. Wilson’s contributions also extend to improving scholarly communication systems through initiatives like the MathOA Foundation and Tasman Declaration on Open Research.

Christian Rohrbeckمشاهده پروفایل

مدرس ارشد

• Extreme Value Analysis
• Spatial Statistics
• Environmental Statistics
• +۳ مورد دیگر

Dr. Christian Rohrbeck is a Senior Lecturer in the Department of Mathematical Sciences at the University of Bath. He holds a PhD in Statistics and Operational Research from Lancaster University and leads projects in statistical climatology through the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics and Centre for Climate Adaptation & Environment Research. His research combines extreme value theory, spatial statistics, and Bayesian methods to analyze environmental and financial data. Current projects focus on flood risk modeling, climate extremes standardization, and monotonic regression techniques. Dr. Rohrbeck accepts doctoral students in extreme value analysis, flood risk, and climate adaptation statistics.

• Medical Imaging
• Cardiovascular Diseases
• Diabetes Research
• +۳ مورد دیگر

Sing Lee is a Clinical Lecturer at the Department of Internal Medicine, UWA Medical School, The University of Western Australia. He also serves as a Medical Registrar at Royal Perth Hospital since 2015. His academic qualifications include an MBBS (Hons) from 2013, BMedSci (Hons) in immune system changes during asthma exacerbations (2008), and a BSc from UWA (2007). Lee's research focuses on cardiovascular and metabolic diseases, particularly using PET/CT imaging to study coronary artery calcification, diabetic complications, and vascular health. Key areas include the role of fluorine-18 tracers, bone metabolism in diabetes, and breast arterial calcification's link to cardiovascular risk. His recent work includes analyzing AI-driven radiomics for coronary arteries, evaluating colchicine and vitamin K1 effects on diabetic bone metabolism, and investigating determinants of diabetic retinopathy progression during pregnancy. Lee has contributed to 10+ peer-reviewed articles and one dataset on breast arterial calcification. He led the Springboard Grant (2019) exploring physical activity's impact on coronary artery calcification in diabetic patients. Collaborations span radiology, endocrinology, and epidemiology, with international readership and media coverage for his cardiovascular research.

• Colorectal Surgery
• Diverticular Disease
• Anorectal Conditions
• +۳ مورد دیگر

Adrian E. Ortega, MD, is a Clinical Professor of Surgery at the University of Southern California, affiliated with the LAC+USC Medical Center. He graduated from Harvard Medical School and completed surgical and colorectal training at USC. Education: Harvard Medical School, University of Southern California surgical training His research focuses on diverticular disease , anorectal conditions , and colon/rectal cancer . His recent publications span surgical techniques, postoperative outcomes, and historical perspectives in colorectal surgery. Key article trends include minimally invasive procedures , management of complex colorectal pathologies , adolescent health interventions , and surgical education methodologies . As a clinician educator, Dr. Ortega mentors fellows, residents, and medical students in surgical training and procedural skills assessment.

Christian Oliversمشاهده پروفایل

استاد

• Cognitive Psychology
• Visual Working Memory
• Attention
• +۳ مورد دیگر

Prof. Christian Olivers is a Full Professor at the Faculty of Behavioural and Movement Sciences , Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam. He holds an honorary position at IBBA and is a member of CCMO (Den Haag). Education: PhD in Cognitive Psychology from the University of Birmingham (2001), focusing on Representations and Resources in Visual Marking. Research Interests: His work centers on Visual Working Memory , Attention , and Eye Movements . He explores how cognitive processes like attentional selection and memory interact with visual perception, using EEG/MEG and behavioral methods. Recent studies include action planning's impact on memory prioritization and feature-space dynamics in visual cognition. Awards: He has received prestigious awards such as the APA Early Career Award (2009) and APA New Investigator Award (2005), alongside contributions to SDG-related research. Grants & Projects: Principal Investigator on projects like PERISCOPE (2017–2024) and ERC CoG TEMPLATE 2.0 (2014–2019). Current research includes Developing sensory-cognitive predictors of everyday functioning with visual impairment (2023–2025). Labs & Teams: Contributes to interdisciplinary labs, including collaborations on EEG/MEG tool development (e.g., ADAM toolbox). Supervised 16 PhD theses, mentoring future researchers in cognitive neuroscience.

Yanling Dengمشاهده پروفایل

پژوهشگر ارشد

• Environmental Health
• Epidemiology
• Climate Change
• +۳ مورد دیگر

Dr. Yanling Deng is a Research Fellow in the Gangarosa Department of Environmental Health at Emory University. Her work focuses on two core areas: the impact of climate change-related environmental factors on chronic diseases in older adults, particularly dementia and depression, and the effects of environmental chemicals on reproductive health outcomes. She co-founded the Tongji Reproductive and Environmental (TREE) study, a cohort examining how exposure to environmental pollutants and lifestyle factors influence fertility and pregnancy outcomes among couples undergoing assisted reproductive technologies in China. Dr. Deng holds a BS from the University of South China and a PhD from Huazhong University of Science and Technology. Her research integrates epidemiological methods with biomarker analysis to assess chemical exposure pathways and health consequences. Key studies include investigations into disinfection byproducts in drinking water, phthalates, and polycyclic aromatic hydrocarbons. She has contributed to over 50 peer-reviewed publications since 2018, emphasizing interdisciplinary approaches to environmental health challenges. Her research portfolio reveals a strong focus on air pollution components (PM2.5, ultrafine particles), waterborne contaminants, and endocrine disruptors. Recent work highlights disparities in wildfire smoke-induced dementia risks among Medicare populations and mechanisms linking phthalate exposure to coagulation dysfunction in fertility treatments. Collaborations with global health networks like the Household Air Pollution Intervention Network (HAPIN) underscore her commitment to translational research addressing population-level health inequities.

• Raman Spectroscopy
• Biomedical Optics
• Environmental Analysis
• +۳ مورد دیگر

Dr. Freek Ariese is an Associate Professor at Vrije Universiteit Amsterdam, affiliated with the Faculty of Science. He holds dual appointments in the Biophotonics and Medical Imaging department and the LaserLaB - Biophotonics and Microscopy research group. His research focuses on advanced spectroscopic and microscopic techniques, particularly Raman spectroscopy and its applications in biomedical optics and environmental analysis. He teaches courses such as Advanced Spectroscopy, Microscopy Techniques for MNW, and Spectroscopic Analysis. Ariese has supervised 17 PhD theses, reflecting his active role in mentoring early-career researchers. His research interests span Raman spectroscopy methodologies, including hyperspectral imaging, nanoscale plastic detection, and non-invasive biomedical diagnostics. He has contributed to the development of versatile Raman setups and analytical frameworks for real-time environmental monitoring. Ariese has collaborated on projects addressing environmental contaminants and has participated in interdisciplinary initiatives like UN Sustainable Development Goals-related work. His datasets, such as CCDC 1430105, highlight contributions to crystal structure analysis.

• Neuroscience
• Psychology
• Cognitive Psychology
• +۷ مورد دیگر

Johannes Fahrenfort is an Assistant Professor at the Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, with a focus on cognitive psychology and neuroscience. His research explores the neural mechanisms underlying perception, decision-making, and consciousness. Key Research Areas: Metacognition, Working Memory, Electroencephalography (EEG), Functional MRI, and the interplay between conscious and unconscious processing. Recent Projects: Templeton Grant on statistical frameworks for unconscious cognition, Advanced Human Capital Program grant on cognitive neuroscience, and PERISCOPE on visual search and peripheral vision. Research Trends: His recent articles investigate decision-making confidence, neural decoding of working memory, catecholamine effects on perception, statistical rigor in consciousness studies, and arousal-dependent cognitive performance. Keywords span Neuroscience , Psychology , and Neural Oscillations . Scientific Awards: A.F. Sandersprice (2007), Best Lecturer for the Research Master Psychology (2019), and Open Science Award FBMS (2024). Academic Contributions: Frequent lecturer in Cognitive Neuroscience, co-supervisor of PhD theses, and creator of open-access datasets and software tools for EEG analysis.

• Injury Prevention
• Sports Medicine
• Epidemiology
• +۳ مورد دیگر

Kyra Cloosterman is a Researcher at Erasmus MC's Department of General Practice, focusing on injury prevention in sports, particularly running-related injuries. Her work emphasizes epidemiology, biostatistics, and sports medicine, with a focus on sex differences, training load management, and prevention strategies. Her doctoral thesis On the run for running-related injuries... (2024) explores injury consequences, training load impacts, and prevention methods. Key research areas include Achilles tendinopathy epidemiology, acute training load assessment, and randomized controlled trials evaluating prevention programs. Methodologies include prospective cohort studies, regression analysis, and GPS-based workload tracking. Publications highlight trends in identifying risk factors for injuries using statistical models and evaluating intervention effectiveness. Despite extensive research output, no scientific awards are explicitly mentioned. No student advisees were listed.