جست‌وجوی استاد و پژوهشگر

Vladimir Bravermanمشاهده پروفایل

استاد

• Efficient Sublinear Algorithms
• Data Science
• Machine Learning
• +۷ مورد دیگر

Vladimir Braverman is a Professor of Computer Science at Johns Hopkins University and an Adjunct Professor at Rice University. He holds secondary appointments in the Department of Applied Mathematics and Statistics at Johns Hopkins. His research focuses on sublinear algorithms, machine learning applications in healthcare and genomics, and data science. Braverman leads projects at the Johns Hopkins Mathematical Institute for Data Science (MINDS) and the Institute for Data Intensive Engineering and Science (IDIES). He has held visiting roles at Google Research and previously led a research group at HyperRoll (acquired by Oracle in 2009). Education : PhD in Computer Science, University of California, Los Angeles (UCLA), 2011 MSc in Computer Science, UCLA, 2009 MSc in Computer Science, Ben-Gurion University of the Negev, Israel, 2004 BSc in Computer Science (cum laude), Ben-Gurion University of the Negev, Israel, 1998 Research Interests : Braverman’s work bridges algorithm design and real-world applications. His lab develops efficient algorithms for large-scale data (e.g., sketches, coresets) with applications in radiomics, genomics, and systems. Notable areas include adversarial machine learning, continual learning for medical imaging, and federated learning systems. Awards : NSF CAREER Award (2017) Best Paper Award, FAST 2019 Google Faculty Award (2014) Cisco Faculty Award Grants and Labs : Active grants include NSF and industry partnerships. Braverman collaborates across disciplines, including physics, oncology, and radiology, through MINDS and IDIES. His work emphasizes translational AI for healthcare and scalable systems. Key Projects : Development of coreset-based algorithms for efficient LLM training Medical AI fairness and adversarial robustness in radiology Federated learning frameworks for cross-domain medical data

Manuela Gonzalez-Suarezمشاهده پروفایل

دانشیار

• Biodiversity Change
• Conservation Biology
• Ecological Modeling
• +۳ مورد دیگر

Dr. Manuela Gonzalez-Suarez is an Associate Professor in Ecology and Evolutionary Biology at the University of Reading's School of Biological Sciences. Her research focuses on understanding biodiversity change, identifying drivers of species loss, and developing predictive models for conservation. She leads the EcCo lab, which explores ecological dynamics through data modeling and fieldwork. Dr. Gonzalez-Suarez's work spans diverse organisms and ecosystems, with a particular emphasis on roadkill ecology, functional diversity, and conservation prioritization. Her expertise includes integrating ecological data to inform policy and management strategies. Recent research highlights include global bird conservation strategies, Amazonian road ecology studies, and innovative tools for IUCN Red List assessments. Collaborations emphasize interdisciplinary approaches to address anthropogenic impacts on biodiversity. Publications span topics from species distribution modeling to functional trait analysis, reflecting her commitment to bridging ecological theory with applied conservation. No scientific awards are explicitly mentioned, but her work demonstrates significant contributions to biodiversity science.

Vincent Morمشاهده پروفایل

استاد

• Aging
• Health Care Organizations
• Health Care Policy
• +۳ مورد دیگر

Dr. Vincent Mor is the Florence Pirce Grant University Professor of Health Services, Policy and Practice at Brown University's School of Public Health. With over 40 years of tenure, he has held leadership roles including Chair of the Department of Community Health (1996–2010) and directed the Center for Gerontology and Health Care Research. His research focuses on aging, long-term care, and nursing home quality. Education details are not explicitly listed, but his career trajectory reflects advanced academic training in public health or related fields. Research interests include health policy, nursing home data systems (e.g., Minimum Data Set), and pragmatic clinical trials for dementia care. He co-leads the NIA IMPACT Collaboratory to improve dementia interventions through embedded trials. He has secured over 50 NIH grants and led major projects like the Program Project Grant examining Medicare/Medicaid impacts on long-term care. His team developed risk-adjusted quality indicators for nursing homes, now used nationally. Awards include the Susan Colver Rosenberg Medal (2021), National Academy of Medicine election (2015), and AcademyHealth’s Distinguished Investigator Award (2011). Recent work addresses vaccine efficacy (e.g., long-COVID risks, influenza vaccination disparities), nursing home staffing, and dementia care interventions. He has published over 500 peer-reviewed articles and serves on editorial boards like Health Services Research.

Sonja Philippمشاهده پروفایل

استاد

• Structural Geology
• Geothermal Reservoirs
• Fracture Mechanics
• +۳ مورد دیگر

Sonja Philipp is Professor of Structural Geology and Geodynamics at the University of Göttingen, researching brittle deformation processes and geothermal reservoir characterization. Her work combines field studies with numerical modeling to analyze fracture propagation and fluid transport in sedimentary rocks. Projects include AuGE (geothermal exploration analogues) and fracture analyses in limestone-marl alternations. Research highlights permeability structures in fault zones and mechanical heterogeneity effects on reservoir performance. Philipp teaches Fractured Reservoirs and leads rock mechanics investigations for safe geothermal drilling.

• Biostatistics
• Public Health Research
• Collaborative Statistical Methods
• +۳ مورد دیگر

Alex Dahlen is a Clinical Associate Professor of Biostatistics at the NYU School of Global Public Health, leading the Collaborative Statistical Core. He holds a PhD in physics from Princeton University (2011) and previously served as a senior statistician at Stanford University's Department of Medicine. His work focuses on collaborative statistical methods for public health research, study design, and training next-generation data scientists. Education: PhD in Physics (Princeton University, 2011). Professional experience includes statistical leadership roles in academic and clinical settings, emphasizing interdisciplinary collaboration and methodological rigor. Research interests span biostatistical applications in neonatal care, healthcare data analysis, and global public health challenges. His recent studies address falls prevention, neonatal hypothermia protocols, and healthcare worker mental health during pandemics. He actively mentors junior scientists in coding, analysis, and ethical research practices. Notable contributions include benchmarking healthcare claims data and developing telemedicine strategies for neonatal care. His work integrates cutting-edge statistical techniques with real-world clinical and public health problems.

Edith Cohenمشاهده پروفایل

استاد مهمان

• Algorithms Design
• Data Mining
• Big Data Analytics
• +۱۰ مورد دیگر

Edith Cohen is a Research Scientist at Google and a Visiting Full Professor in the School of Computer Science at Tel Aviv University, where she contributes to academic research and teaching. Her career spans leading industrial research labs, including AT&T Bell Labs, Microsoft Research, and Google Research. Undergraduate and M.Sc.: Tel Aviv University (1985, 1986) Ph.D.: Stanford University, Computer Science (1991) Her research centers on scalable algorithms for massive data, with key contributions in sketching (e.g., MinHash, HyperLogLog), sampling techniques, graph mining (centrality, influence, similarity), data streams, and differential privacy. She designs principled algorithmic solutions that balance accuracy, speed, and storage in large-scale systems. The recent articles highlight a strong focus on robustness and privacy in streaming and learning systems, particularly under adversarial or adaptive settings. Her work bridges theoretical rigor with practical impact, applying advanced statistical and algorithmic methods to real-world data challenges. ACM Fellow (2017) IEEE Communications Society William R. Bennett Prize (2007) ISF and NSF Research Grants She has advised several students and interns at AT&T and Google, and has served on program committees and editorial boards of top computer science venues. Her work has led to numerous patents in data summarization, network routing, and query processing. She actively collaborates with researchers across institutions and continues to publish in premier conferences such as STOC, KDD, ICML, and PODS.

Ulrich Halekohمشاهده پروفایل

دانشیار

• Biostatistics
• Epidemiology
• Biodemography
• +۷ مورد دیگر

Ulrich Halekoh is an Associate Professor in the Department of Public Health at the University of Southern Denmark, Faculty of Health Sciences. His work lies at the intersection of biostatistics, epidemiology, and biodemography, with a strong emphasis on twin and cohort studies, genetic epidemiology, and methodological research in clinical and public health settings. His research interests include: Biostatistical methodology for study design and analysis Genetic and environmental determinants of health and disease Biodemography and aging Occupational and musculoskeletal health Clinical epidemiology, particularly in critical care and neurology The trends in his recent publications reveal a consistent focus on statistical modeling in complex datasets, including twin studies, register-based research, and clinical trials. His work frequently involves collaboration across disciplines, applying advanced biostatistical techniques to real-world health problems such as ICU management during the pandemic, back disorders in occupational settings, and motor function in cerebral palsy. Though no formal list of awards is provided, his sustained research output and leadership in national and international statistical societies reflect recognition in his field. He is actively involved in teaching and supervision, offering courses in biostatistics, R programming, and STATA, contributing significantly to graduate and professional training. While specific advisees are not listed, his collaborative research suggests active mentorship. He has participated in multiple workshops and conferences, including leadership roles in the Danish Society for Theoretical Statistics. Ulrich Halekoh is a key member of research teams focusing on genetic epidemiology and public health statistics, contributing to large-scale studies involving Danish twin registries and national health databases.

• Data Management
• Database Design
• Wildlife Ecology
• +۳ مورد دیگر

Dr. Novella Franconi is a Researcher in Biosciences at Swansea University, affiliated with the School of Biosciences, Geography and Physics. She holds expertise in research data management, ecological database design (particularly PostgreSQL), and wildlife ecology. She teaches modules BIO252 (Ecological Data Analysis) and BIO346 (Professional Skills in Marine Biology), focusing on data standards, FAIR data principles, and employability skills. Education: MSc in Biosciences from the University of Pisa (Italy) and a PhD in Environmental Sciences from the University of Siena (Italy). Prior to Swansea, she worked at the University of Siena, French ONCFS Institute, and the international EURODEER project. Research interests include wildlife movement ecology, remote sensing, and data-driven conservation strategies. Her work emphasizes spatial databases, reproducible data practices, and collaborative projects with NGOs and protected areas. Recent publications span topics like animal ID systems, grey seal phenology under climate change, and biologger optimization. She actively collaborates with global researchers and institutions to advance wildlife monitoring and biodiversity conservation.

Marine Cioccoمشاهده پروفایل

پژوهشگر

• Meteoritics
• Planetary Science
• Cosmochemistry
• +۷ مورد دیگر

Marine Ciocco is a Researcher and Postdoctoral Fellow at the University of Oslo's Department of Geosciences, affiliated with the Centre for Planetary Habitability. Her work focuses on meteoritics, planetary science, and cosmochemistry with an emphasis on impact processes and Martian sample analysis. Education: PhD in Earth, Universe and Space Sciences - Cosmochemistry (2023), Muséum National d'Histoire Naturelle & Sorbonne Université Masters in Planetary Science and Space Exploration (2019), Paris Saclay University Bachelor in Earth Sciences (2017), Paris Sud University Research Interests: Study of impact cratering dynamics on Earth and Mars Characterization of shock metamorphosed minerals in martian samples Development of analogue samples for Mars Sample Return missions High-pressure geochemistry of extraterrestrial materials Key Projects: Mars Sample Return Analogue Sample Library (MSR ASL) Impact Craters from Earth to Mars Teaching: Courses on meteorites, planetary science, and asteroid studies at both French and English language levels. Grants/Awards: Meteoritical Society Barringer Crater Company Travel Award (2021) Orlaug L. Merkesdals Legat Grantee (2024) Labs/Teams: Active contributor to the Centre for Planetary Habitability's Mars Sample Return research initiatives.

• Climate Change Biology
• Invasive Species Ecology
• Biodiversity Conservation
• +۵ مورد دیگر

Stefan Dullinger is a Professor in the Department of Botany and Biodiversity Research at the University of Vienna’s Faculty of Life Sciences. His research focuses on climate change impacts, invasive species, and biodiversity conservation in alpine and tropical ecosystems. He leads projects such as MICROCLIM, examining alpine flora under climate change, and has contributed to over 200 peer-reviewed publications. Research Interests: Climate Change Adaptation in Ecosystems Biological Invasions and Their Management Protected Area Effectiveness Species Distribution Modeling Mountain and Alpine Ecosystems Key Projects: ERC-funded MICROCLIM (2021–2025): Microscale analysis of alpine plant responses to climate change Climate change impacts on global alpine diversity (2025–2029) Modeling drivers of plant radiation (2021–2024) Publications Highlight: Over 200 articles, including work on agroforestry impacts, alien species distributions, and forest management challenges in Europe. Recent contributions emphasize ethical dilemmas in conservation and global biodiversity footprints of urban consumption. Collaborations: Extensive international networks, with recent contributions to UN SDG-related research and interdisciplinary studies on epigenetics and climate adaptation in alpine plants.

Wen Jiangمشاهده پروفایل

استاد

• Cryo-EM Structural Biology
• Biophysics Computing
• In situ Structural Biology
• +۴ مورد دیگر

Wen Jiang is the Dorothy Foehr Huck and J. Lloyd Huck Chair in Structural Biology and Professor of Biochemistry & Molecular Biology at Penn State University. He leads the Jiang Lab, specializing in cryo-EM structural biology, biophysics computing, and in situ structural techniques like CLEM and electron tomography. His research focuses on amyloids, viruses, and protein complexes, alongside methodological advancements in cryo-EM sample preparation and data analysis. Education: B.S. in Physics (Peking University), M.S. in Biophysics (Chinese Academy of Sciences), Ph.D. and postdoc in Cryo-EM (Baylor College of Medicine under Prof. Wah Chiu). Research interests include structural studies of neurodegenerative disease-related amyloids, viral structures, and the development of computational tools for cryo-EM (e.g., Helicon, CryoVR). The lab collaborates across disciplines, welcoming candidates in biology, physics, engineering, and computer science. Prominent software contributions include MotionCorr enhancements, jspr for image processing, and web apps like map2seq and ProCart. Alumni have transitioned to roles at institutions like NIH, HHMI Janelia, and industry positions in biotechnology. Key lab activities include cryo-EM methodology, viral vaccine design using pseudoviruses, and structural studies of bacterial enzymes and viral capsids. Collaborations focus on applying cryo-EM to biomedical challenges like neurodegeneration and infectious diseases.

Inga Urtāneمشاهده پروفایل

استادیار

• Pharmacology
• Toxicology
• Pharmaceutical Sciences
• +۹ مورد دیگر

Inga Urtāne is an Assistant Professor and Head of the Department of Pharmaceutical Chemistry at the Faculty of Pharmacy, Riga Stradins University. She is actively engaged in research and academic leadership, contributing to pharmaceutical sciences, clinical pharmacology, and public health. Her affiliations include expert roles at the Latvian Council of Science in Basic Medicine and Chemical Sciences, and membership in professional and ethics committees. Riga Stradins University – Faculty of Pharmacy, Department of Pharmaceutical Chemistry Latvian Council of Science – Expert in 3.1 Basic Medicine (2020–2026) and 1.4 Chemical Sciences (2015–2018) Rīgas Austrumu klīniskās universitātes slimnīcas atbalsta fonda Medicīnisko un biomedicīnisko pētījumu Ētikas komiteja – Member Starptautisko inovatīvo farmaceitisko firmu asociācijas un Latvijas Patentbrīvo medikamentu asociācija – Member Her research centers on drug safety, polypharmacy, and cardiovascular pharmacotherapy, with a focus on anticoagulants, lipid-lowering agents, and antihypertensive drugs. She investigates medication adherence, prescribing errors, and national drug consumption trends using real-world health data. Her work supports the UN Sustainable Development Goal for Good Health and Well-being. The recent publications (2020–2024) reflect a strong trend in pharmacoepidemiology, clinical pharmacy, and analytical pharmacology, particularly on direct oral anticoagulants, statin therapy, and hypertension management. Her studies often involve collaboration with national health databases and focus on optimizing drug use in complex patient populations. Scientific Awards and Recognitions: No specific awards or prizes are mentioned in the provided text. Advising and Grants: Inga Urtāne serves as a supervisor for PhD projects, including those on DOAC safety and hypolipidemic drug use. She has contributed to multiple RSU-funded and national research initiatives. Her leadership extends to organizing academic events such as RSU Research Week 2025 and participating in scientific committees. Labs and Research Teams: While no specific lab name is provided, her research is conducted within the Department of Pharmaceutical Chemistry at RSU, involving interdisciplinary teams focused on drug analysis, clinical outcomes, and public health policy.

Samprit Banerjeeمشاهده پروفایل

دانشیار

• Digital Health
• Mental Health Research
• Biostatistics
• +۵ مورد دیگر

Dr. Samprit Banerjee is an Associate Professor at Weill Cornell Medicine within the Department of Population Health Sciences. He holds affiliations with the Graduate School of Medical Sciences and collaborates with institutions like the Institute of Geriatric Psychiatry and ALACRITY Research Center. His research focuses on developing statistical methods for mental health using mHealth data (smartphones, wearables) and large datasets like EHRs. He earned his BStat and MStat from the Indian Statistical Institute and his PhD in Biostatistics from the University of Alabama, Birmingham. Education: BStat, Indian Statistical Institute, Kolkata, India MStat, Indian Statistical Institute, Kolkata, India PhD in Biostatistics, University of Alabama, Birmingham Research Interests: Digital phenotyping and interventions using mHealth sensors Prediction models for health outcomes (e.g., depression relapse, stress detection) Randomized clinical trials in geriatric mental health Machine learning applications in healthcare analytics Big data integration from EHRs and claims databases His lab pioneered open-source tools for analyzing longitudinal mHealth data and collaborates on interventions for older adults with depression, psychosis, and bipolar disorder. Key Projects include: Psychotherapy adherence prediction via passive data sensing Stress detection algorithms for chronic pain patients Geography-based risk stratification for suicidal ideation His work bridges statistical methodology with clinical practice, emphasizing precision medicine and health equity through predictive analytics.

Rawad Salehمشاهده پروفایل

دانشیار

• Aerosol Science
• Air Quality
• Environmental Engineering
• +۳ مورد دیگر

Rawad Saleh is an Associate Professor at the University of Georgia's School of Environmental, Civil, Agricultural & Mechanical Engineering. His research focuses on aerosol physics and air quality, particularly addressing environmental impacts of biomass burning, combustion processes, and climate modeling. He has pioneered studies on brown carbon emissions and their role in climate forcing. Education details are not explicitly listed, but his work demonstrates expertise in aerosol science and environmental engineering. His research integrates field experiments (e.g., the Georgia Wildland-Fire Simulation Experiment) with advanced analytical techniques to quantify aerosol optical properties, chemical composition, and atmospheric aging processes. Key scientific contributions include: Revealing discrepancies in brown carbon light absorption modeling Developing parameterizations for wildfire emissions in chemical transport models Characterizing microplastics from biomass combustion Awarded the prestigious CAREER Award (2022) for advancing brown carbon parameterization in climate models. His work bridges laboratory studies with real-world applications, including health impacts of e-cigarette aerosols and wildfire smoke toxicity.

Martin Hamelمشاهده پروفایل

دانشیار

• Fisheries Management
• Aquatic Ecology
• Riverine Environments
• +۳ مورد دیگر

Martin Hamel is an Associate Professor of Fisheries Management and Ecology at the University of Georgia's Warnell School of Forestry and Natural Resources. His research focuses on applied ecology and fish population dynamics in riverine environments, particularly addressing how environmental factors influence fish populations and inform resource management. He holds a Ph.D. in Natural Resource Sciences from the University of Nebraska-Lincoln (2013), an M.S. in Wildlife and Fisheries Sciences from South Dakota State University (2006), and a B.S. in Conservation Management and Biology from Upper Iowa University (2003). Dr. Hamel's work spans invasive species management, otolith microchemistry analysis, and the creation of the FishAge database—a global repository of known-age fish structures. His research emphasizes the interplay between native and invasive species in rivers, habitat selection, and conservation strategies. Collaborations include projects on pallid sturgeon recovery, blue catfish dispersal, and Suwannee bass demographics. Recent studies highlight his contributions to understanding fish movement patterns, trace element applications, and freshwater ecosystem dynamics. His team's efforts in developing novel sampling tools, such as bank poles for catfish monitoring, reflect innovative approaches to fisheries management. Dr. Hamel is also active in professional organizations, including the American Fisheries Society, and advocates for science communication and education.