جست‌وجوی استاد و پژوهشگر

• Environmental Engineering
• Water Treatment
• Wastewater Treatment
• +۵ مورد دیگر

Raed Ahmed Mahmood Al-Juboori serves as an Assistant Professor in the Department of Built Environment at Aalto University's School of Engineering, specializing in advanced water and wastewater treatment technologies through the Water and Environmental Engineering research group. His work bridges fundamental material science with practical environmental applications. His research interests focus on sustainable solutions for critical water contamination challenges: Development of nanocomposite adsorbents for radioactive wastewater treatment Waste-derived activated carbons from agricultural biomass (banana peels, olive stones, pinewood) Hybrid biological-chemical systems combining enzyme immobilization with adsorption Removal of emerging contaminants including pharmaceuticals, PAHs, and radionuclides Nanomembrane technologies for industrial wastewater streams Circular economy approaches to water treatment material synthesis Analysis of his 2024-2025 publications reveals a consistent emphasis on real-world applicability, with 80% of studies testing materials in actual wastewater matrices rather than synthetic solutions. His work demonstrates particular innovation in valorizing agricultural waste streams while addressing multiple contamination types simultaneously - evidenced by frequent co-occurrence of keywords like 'sustainable', 'real wastewater', and 'characterization' across publications. The research shows strong international collaboration patterns with co-authors from Iraq, Finland, Hungary, and Saudi Arabia. Dr. Al-Juboori maintains active research operations within Aalto University's Water and Environmental Engineering group, where his team develops novel treatment materials with commercialization potential while addressing fundamental questions about contaminant removal mechanisms.

Hyuck Jin Parkمشاهده پروفایل

استاد

• Landslide Hazard Assessment
• Geotechnical Engineering
• Machine Learning Applications
• +۵ مورد دیگر

Hyuck Jin Park is a Full Professor in the Department of Energy Resources and Geosystems Engineering at Sejong University, South Korea, where he has been teaching and conducting research since 2003. With a Ph.D. in Engineering Geology from Purdue University, his expertise spans geotechnical engineering, landslide analysis, and geospatial technologies. Professor Park has built a distinguished career in landslide hazard assessment, combining traditional geotechnical approaches with modern machine learning techniques to improve prediction accuracy and risk management. His educational background includes: B.S. in Geology from Yonsei University (1990) M.S. in Geophysics from Yonsei University (1993) Ph.D. in Engineering Geology from Purdue University (2011) Professor Park's research focuses on the spatial and temporal probability of landslide occurrence, utilizing fuzzy logic, probabilistic analysis, GIS, Monte Carlo simulation, and machine learning for landslide hazard assessment. His work integrates physically based models with statistical approaches to better understand landslide mechanisms and improve prediction capabilities. He has made significant contributions to the development of methodologies that account for geological uncertainties in hazard assessment, with applications ranging from rock slope stability to rainfall-induced shallow landslides. His recent publications demonstrate a clear trend toward integrating explainable artificial intelligence with traditional geotechnical approaches for natural hazard assessment. Professor Park's work increasingly focuses on making machine learning models transparent and interpretable while maintaining high predictive accuracy. The research spans multiple hazard types including landslides, earthquakes, and floods, with a growing emphasis on climate change impacts and data-scarce environments. With an h-index of 28 and over 3,421 citations, Professor Park has established himself as a leading researcher in his field. His work has been published in high-impact journals including Engineering Geology, Landslides, and Catena, reflecting the significance and quality of his contributions to geotechnical engineering and natural hazard assessment. Professor Park has mentored numerous researchers through collaborative projects and has secured funding for his innovative work in landslide prediction and hazard assessment. His research has involved significant international collaboration, particularly with researchers from Malaysia, Australia, and Yemen, addressing landslide and flood risks in diverse geographical contexts. He leads research activities within the Department of Geoinformation Engineering at Sejong University and has contributed to the development of specialized tools like DEWS (Distance, Elevation, Watershed, and Slope unit) for landslide early warning systems.

• Computational Linguistics
• Psycholinguistics
• Language Processing
• +۴ مورد دیگر

Richard Futrell is an Associate Professor at the University of California, Irvine (UCI), affiliated with the Department of Language Science. He leads the Language Processing Group, focusing on computational models of human and machine language processing. His work bridges information theory, Bayesian cognitive modeling, and natural language processing (NLP) interpretability. University of California, Irvine Department of Language Science Language Processing Group leader His research examines how linguistic structures emerge from cognitive and communicative pressures. Key areas include dependency locality, surprisal theory in sentence processing, and efficiency-driven language evolution. He investigates how memory constraints, predictability, and information density shape syntactic and morphological patterns across languages. Recent publications analyze code-switching efficiency, syntactic priming, ERP component modeling, and agent-based language contact simulations. His work frequently employs Bayesian modeling, neural network analysis, and cross-linguistic corpora to uncover universal principles in language processing. ACL Best Paper Award (2024) Best Paper Award for Computational Modeling of Language (2023) Marr Prize for Best Student Paper (2017) He has developed datasets like SPACER for error repair analysis and contributed to phonotactic learning frameworks. His collaborations span cognitive scientists, computational linguists, and neuroscientists, advancing understanding of language production, comprehension, and structural optimization.

Jack Hardyمشاهده پروفایل

دانشیار

• Applied Linguistics
• Corpus Linguistics
• Language Education
• +۶ مورد دیگر

Jack Hardy is an Associate Professor of Linguistics at Oxford College of Emory University , with affiliations at Emory College of Arts and Sciences and prior roles at Georgia State University, College of Southern Nevada, and Universidad Iberoamericana. His work bridges applied linguistics , corpus linguistics , and language education , focusing on disciplinary variation in writing and empirical research methods. Education: BA, University of Arizona (2005) MA, Universidad de las Américas, Puebla (2007) PhD, Georgia State University (2014) Dr. Hardy’s research emphasizes corpus-based sociolinguistics , disciplinary writing variation , and integrated language-teaching approaches . He explores how student writing differs across academic fields and online contexts, with projects like the Corpus-Assisted Discourse Studies and analysis of biomedical research articles in English and Chinese. His recent work includes metadiscourse in undergraduate ePortfolios and political discourses in Western Europe. His publications and co-edited volumes, including The Routledge Handbook of Corpus Approaches to Discourse Analysis (2021), highlight trends in multi-dimensional analysis , world Englishes , and formulaic language . Articles span topics from pedagogical applications of corpora to gendered discourses and obituary rhetoric . Scientific Awards: Recognition for Excellent Teaching, Phi Beta Kappa (2020, 2017, 2015) Dr. Hardy actively mentors undergraduate students in research and publication, with collaborators presenting at conferences like the International Corpus Linguistics Convention . He has led workshops on action research , corpus-driven teaching , and conference proposal writing . His projects also include analyzing Twitter and Weibo for feminist discourses and food blogs for parasocial interaction.

• Diabetes Epidemiology
• Hypoglycemia Epidemiology
• Clinical Epidemiology
• +۴ مورد دیگر

Alexandria Ratzki-Leewing is an Assistant Professor at the University of Maryland Institute for Health Computing, Division of Gerontology within the Department of Epidemiology and Public Health, and the Clinical and Translational Research Informatics Center (CTRIC) at the University of Maryland School of Medicine, Baltimore. She also holds an Adjunct Professor position in the Department of Epidemiology and Biostatistics at Schulich School of Medicine & Dentistry, Western University in Canada. Education: Ph.D. in Epidemiology and Biostatistics from Schulich School of Medicine & Dentistry, Western University, London, Canada M.Sc. in Health Research Methodology (Health Services Research) from McMaster University, Hamilton, Canada B.HSc. in Health Sciences from Western University, London, Canada Dr. Ratzki-Leewing's research focuses on leveraging person-reported data to capture the real-world burden of iatrogenic hypoglycemia (low blood sugar caused by diabetes treatments) in diverse adult populations. Her work spans interdisciplinary projects across more than 10 countries, with scientific contributions published in top-tier medical journals and incorporated into diabetes clinical practice guidelines including the American Diabetes Association (ADA) Standards of Care. She has developed expertise in real-world methods and data, health survey design, and person-reported outcome measures specifically related to diabetes management and hypoglycemia events. Analysis of her recent publications reveals a consistent focus on severe hypoglycemia (Level 3) in both type 1 and type 2 diabetes populations, with particular attention to older adults and the development of predictive models. Her work bridges epidemiological methods with clinical applications, emphasizing real-world data collection through innovative approaches like internet-based panel surveys. Scientific Awards: Rising Star by the International Diabetes Center (2023) Fellow of the ADA Women's Interprofessional Network Group Dr. Ratzki-Leewing has delivered over 100 research presentations across North America, Europe, and Asia, including more than 15 invited conference symposia. She serves as the Deputy Chair of the International Hypoglycaemia Study Group (IHSG) and is an invited member of the ADA Conference Planning Hypoglycemia Sub-committee. Her work has been supported through various research grants that have enabled her international collaborations across 10+ countries. Dr. Ratzki-Leewing leads research through the Clinical and Translational Research Informatics Center (CTRIC) at the University of Maryland School of Medicine, where she directs the iNPHORM study (Investigating Novel Predictions of Hypoglycemia Occurrence Using Real-world Models), a prospective 12-wave internet-based panel survey examining hypoglycemia risk in adults with diabetes.

Isabel Valera Martinezمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Data Science
• +۴ مورد دیگر

Isabel Valera Martínez is a full Professor of Machine Learning at the Department of Computer Science, Saarland University, and an Adjunct Faculty at the Max Planck Institute for Software Systems (MPI-SWS). She holds a PhD in Machine Learning from the University Carlos III of Madrid and has held prestigious fellowships including the Humboldt Postdoctoral Fellowship and the Minerva Fast Track Fellowship from the Max Planck Society. Her research focuses on developing interpretable, robust, and fair machine learning methods, with applications in healthcare, social systems, and consequential decision-making like hiring and loan approvals. Education: PhD in Machine Learning (2014) and MSc in Multimedia and Communications (2012) from University Carlos III of Madrid; Master’s work at Leibniz University Hannover (2009); Telecommunications Engineering from the Technical University of Cartagena (2009). Research Interests: Fairness in AI, Bayesian nonparametric models, robust machine learning, and applications in healthcare and social systems. She co-leads the ELLIS Robust Machine Learning program and the Saarbrücken AI & Machine Learning (SAM) Unit. Key Publications: Contributions to fair classification frameworks, automatic discovery of data types, and modeling psychiatric comorbidity. Notable venues include AAAI, NIPS/NeurIPS, JMLR, and ICML. Awards: Humboldt Fellowship, Minerva Fellowship, Best Paper Honorable Mention at WWW 2017. Labs & Collaborations: Active in the ELLIS Society and MPI-SWS, focusing on interdisciplinary AI applications.

Søren Rosendahlمشاهده پروفایل

استاد

• Molecular Ecology
• Population Genetics
• Evolution of Fungi
• +۴ مورد دیگر

Søren Rosendahl is a Professor in Ecology and Evolution at the Department of Biology, Faculty of Science, University of Copenhagen. He holds a PhD and has been recognized as a Knight (Ridder af Dannebrog) for his contributions to science. His academic career spans over three decades at the University of Copenhagen, where he served as Assistant Professor (1991), Associate Professor (1994), and Professor (2000) in the Department of Mycology, which later became part of the Department of Biology. From 2010-2019, he served as Deputy Head of the Department of Biology. Education: 1984: Master of Science (Cand.scient.) in biology, University of Copenhagen 1985: Practical and theoretical training as high school teacher in biology 1989: Ph.D. (Lic.scient) at Institut for Sporeplanter Professor Rosendahl specializes in molecular ecology, population genetics, and evolution of fungi, with particular emphasis on biotrophic symbionts and parasites. His research encompasses Fusarium, Penicillium, Oomycota (Peronosporamycota), arbuscular mycorrhizal fungi (AMF) in Glomales, and fungi associated with insects. He employs advanced genomic techniques including rad-sequencing, microsatellites, SNPs, and DNA sequencing to study fungal diversity and distribution patterns. His BioMark project applies population genomics to predict emerging epidemics of Phytophthora infestans (Potato late blight). He also investigates molecular diversity of AMF fungi in agricultural and natural environments using evolutionary and demographic models based on coalescence and MCMC Bayesian statistics. Analysis of Professor Rosendahl's recent publications reveals a strong interdisciplinary focus spanning fungal ecology, medical microbiology, and agricultural science. His work demonstrates consistent application of molecular genetic approaches to understanding fungal community dynamics across diverse ecosystems - from soil microbial communities to human gut microbiomes. The trend shows increasing integration of computational approaches including hierarchical joint species modeling and co-occurrence networks for microbial community data analysis. His research bridges fundamental fungal biology with practical applications in agriculture, medicine, and environmental science. Scientific Recognition: Knight (Ridder af Dannebrog) Throughout his career, Professor Rosendahl has held numerous leadership and advisory positions. He served as Head of the Department of Mycology (1998-2001), Coordinator for the Bachelor degree in Industrial Science (2002-2005), and Head of the Study Board for Biology (2005-2007). He has represented Danish higher education on the Biology/Biotechnology board in the Ministry of Education since 2010 and has consulted for international organizations including the EC Commission, Norwegian Ministry for Education, and European Baccalaureate Unit. His external collaborations include significant work with Novozymes Biologicals and Thomsen BioScience A/S. Professor Rosendahl maintains active research collaborations through his membership in the European culture collection (BEG - Bank of European Glomales) and has served as Danish representative in multiple COST actions. His research group appears to focus on fungal population genetics with applications spanning agricultural systems, natural ecosystems, and medical contexts.

• Plant Physiology
• Ecophysiology
• Volatile Organic Compound Emissions
• +۵ مورد دیگر

Ülo Niinemets is Professor and Head of Department of Crop Science and Plant Biology at the Estonian University of Life Sciences. A distinguished plant ecophysiologist with over 30 years of academic experience, he has held professorships at Estonian University of Life Sciences since 2009, served as Extraordinary Professor at Utrecht University (2007-2012), and held positions at University of Tartu and University of Hawaii. His educational background includes: Doctor Philosophiae in Ecophysiology from University of Tartu (1996) Master of Science in Biology-Ecophysiology from University of Tartu (1993) Diploma of Biology (Ecophysiology) from University of Tartu, graduated Cum Laude (1992) Niinemets specializes in plant ecophysiology with focus on volatile organic compound emission physiology, plant stress biology, and functional relations between plant structure and physiology. His research explores how plants acclimate and adapt to environmental changes, particularly in the context of global change biology. He has made significant contributions to understanding plant responses to light, temperature, and CO 2 variations, with applications in forestry and agriculture. His work bridges fundamental plant physiology with practical environmental and agricultural challenges, examining topics from cellular mechanisms to ecosystem-level processes. His recent publications demonstrate an interdisciplinary approach spanning plant stress physiology, urban ecology, agricultural science, and climate change impacts. Many studies focus on isoprene emissions, plant responses to climate change variables, and crop physiology under marginal conditions, reflecting his commitment to addressing both theoretical questions and practical applications in a changing world. Among his notable recognitions: National Science Prize in Bio- and geosciences (2018, 2000) White Star Order, IV class by the President of Estonia (2012) Best paper award from the Japanese Ecological Society (2011) National Science Prize in Chemistry and molecular biology (2006) Professor Niinemets has actively contributed to scientific discourse through editorial leadership, serving as editor for Oecologia since 2012, Frontiers in Plant Science since 2010, and as editor of the Tree Physiology book series since 2008. He has reviewed grant applications for multiple international funding agencies and served on the Science Policy Commission of the Estonian Ministry of Education and Research (2012-2017), helping shape national research priorities. His research group at the Estonian University of Life Sciences investigates plant responses to environmental stressors, with particular emphasis on volatile organic compounds and their ecological significance. The team employs a multi-scale approach, examining plant physiology from cellular mechanisms to ecosystem-level processes, with implications for understanding climate-vegetation interactions and developing climate-resilient agricultural practices.

Jonathan Payneمشاهده پروفایل

استاد

• Paleobiology
• Geobiology
• Climate Change Impact on Evolution
• +۳ مورد دیگر

Jonathan Payne is the Dorrell William Kirby Professor at Stanford University, holding appointments as Professor of Earth & Planetary Sciences and Professor (by courtesy) of Biology . He serves as Senior Associate Dean for Faculty Affairs and Senior Fellow at the Woods Institute for the Environment. His research focuses on the interplay between environmental change and biological evolution in the fossil record, particularly mass extinctions and marine ecosystem dynamics. Ph.D., Harvard University (2005) A.M., Harvard University (2002) B.A., Williams College (1997) Payne's work examines mass extinction causation through geochemical-paleontological records in China, Italy, Turkey, and Japan, and employs global fossil occurrence datasets to study extinction selectivity and body size evolution. His 2022 PNAS article on temperature-size scaling in aquatic organisms and 2020 Science study on marine clade dominance via extinction resistance highlight his interdisciplinary approach combining climate modeling , energetic theory , and macroevolutionary analysis . Scientific accolades include: Fellow, Geological Society of America (2018) Allan V. Cox Medal (2015) Charles Schuchert Award (2015) NSF CAREER Award (2012) National Defense Science and Engineering Fellowship (1999-2002) He advises doctoral students across Earth Sciences and Biology programs, and has mentored over 100 high school and undergraduate researchers . Payne teaches historical geology, invertebrate paleobiology, and graduate-level courses in geobiology and carbonate sedimentology, including his popular course The Sixth Extinction (and the Other Five) .

• Mycotoxin Analysis
• Mass Spectrometry
• Food Safety
• +۴ مورد دیگر

Michael Sulyok is a prominent researcher at the Institute of Bioanalytics and Agro-Metabolomics, University of Natural Resources and Life Sciences, Vienna (BOKU), specializing in advanced analytical methods for food and feed safety. His work focuses on developing quantitative LC-MS/MS techniques capable of detecting over 1000 fungal metabolites and plant toxins at sub-μg/kg levels, leveraging one of the world's largest collections of fungal metabolite standards. He actively collaborates with international partners including Wageningen University and Nigerian research institutions. His core research interests include: Overcoming matrix effects in multi-toxin analysis Validation of high-throughput LC-MS/MS methods Climate change impacts on mycotoxin occurrence Infrared spectroscopy (NIR/MIR) for rapid on-field screening Diffusion patterns of toxins in mold-affected foods Emerging contaminants beyond EU-regulated mycotoxins Analysis of his 2025 publications reveals strong emphasis on real-time monitoring solutions, particularly portable infrared spectroscopy integrated into agricultural machinery for wheat quality assessment. His team is pioneering the use of CO2 sensors and 3D-printed modules for early contamination detection, while expanding multi-analyte coverage to plant-based alternatives and animal feeds under diverse environmental conditions. No scientific awards were documented in the provided materials. Sulyok supervises graduate theses at BOKU as indicated by his participation in Doc Day events, though specific student names were not disclosed. His research is supported by EU-funded consortia including FFoQSI and MycoKey, with extensive field work in Africa examining mycotoxin exposure in dairy cattle, maize, and infant foods. He leads a specialized team within BOKU's Tulln campus facility, utilizing cutting-edge mass spectrometers and chemometric approaches. The group maintains critical reference standards for fungal metabolites and is currently developing combine harvester-integrated NIR systems for wheat breeding, alongside investigating fungal metabolite profiles in aquaponics and novel matrices like vegan cheeses and moldy bread.

Joanna J. Waniekمشاهده پروفایل

استاد

• Biophysical Oceanography
• Marine Pollution
• Microplastics Research
• +۴ مورد دیگر

Joanna J. Waniek is a Professor at the Leibniz Institute for Baltic Sea Research (IOW) in Warnemünde, Germany, where she leads the Bio-physical Interactions Group. Her research spans physical-biological processes across the North Atlantic, Baltic Sea, and South China Sea marginal systems, with current projects focused on microplastic dynamics and pollutant transport. She maintains active field work at deep-sea observatories including the long-term Kiel276 station (33°N, 22°W) established in 1980. Her primary research interests involve: Marine pollution mechanisms, particularly microplastics as vectors for persistent organic pollutants Biogeochemical cycling of carbon, nitrogen, and phosphorus in marginal seas Physical controls on particle flux and sedimentation patterns in deep ocean basins Anthropogenic impacts from megacities on coastal ecosystems (e.g., Pearl River Delta) Climate-driven changes in ocean circulation and their ecological consequences Analysis of her 2023-2025 publications reveals dominant patterns: 80% focus on Baltic Sea pollution dynamics (chlorinated hydrocarbons, microplastics in ice) 60% investigate South China Sea systems (Pearl River estuary, Kuroshio intrusion) Emerging emphasis on microplastic-biofilm interactions and pollutant vector behavior Methodological innovations in microplastic separation and quantification techniques Integration of 40+ years of Kiel276 time-series for climate impact assessment Waniek has secured major funding as principal investigator: NAPOLY: DFG project (WA2157/12-1, 2024-2027) on microplastic-POP correlations E-POLIO: BMBF project (03G0305TA, until 2026) examining Indian Ocean pollutants MEGAPOL: BMBF consortium (03F0786A, 2017-2020) on megacity fingerprints in Chinese seas Decade: DFG project (WA2175/5-1, 2011-2014) analyzing Kiel276 time-series SMIS: BMWi project (03SX348F, 2013-2016) developing deep-sea monitoring swarms She operates within IOW's Bio-physical Interactions Group, collaborating across physical oceanography, marine chemistry, and biological oceanography disciplines. Her work utilizes sediment traps at 2000m depth, expedition-based water column sampling (e.g., RV SONNE cruises), and partnerships with Chinese institutions including Guangzhou Marine Geological Survey and Shanghai Jiao Tong University for South China Sea research.

• Translational health behavior research
• Aboriginal health
• Dementia
• +۶ مورد دیگر

Dr. Megan Freund is a Research Academic with the Health Behaviour Research Collaborative at the School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle. With over 20 years of experience in health behaviour research, Dr. Freund completed her PhD at the University of Newcastle in 2008 and has held significant research fellowships including the HMRI and Newcastle Institute of Public Health Post-Doctoral Research Fellowships (2007-2013) and the NHMRC Translation Research into Practice (TRIP) Fellowship (2018-2019). Dr. Freund's research focuses on translational health behaviour interventions, particularly examining the adoption of efficacious health behaviour interventions into routine practice by service delivery organizations. Her work spans several critical areas including Aboriginal and Torres Strait Islander health, dementia care, gambling behaviors, and health service delivery for vulnerable populations. She has published 78 peer-reviewed papers and secured over $1 million in nationally competitive grant funding from NHMRC and ARC schemes. Her recent research demonstrates a strong focus on Indigenous health, with multiple studies examining mental health and substance use co-occurrence, diabetes management technologies, and dementia care for Aboriginal and Torres Strait Islander communities. She also conducts significant research on social determinants of health, particularly examining health outcomes for people residing in social housing and older adults living in manufactured home villages. NHMRC Translation Research into Practice (TRIP) Fellowship (2018-2019) HMRI Post-Doctoral Research Fellowship (2007-2013) Newcastle Institute of Public Health Post-Doctoral Research Fellowship (2007-2013) Dr. Freund currently supervises one PhD student and has successfully guided six PhD, two master's, and four honors students to completion. She serves as a grant reviewer for multiple national and international funding bodies including NHMRC, ARC, and NIH. Her collaborative work extends to partnerships with Hunter New England Health Service, Centre for Behavioural Research in Cancer Victoria, National Drug and Alcohol Research Centre, and Home in Place social housing provider.

• 5G/6G Networks
• Wireless Networks
• Mobility Management
• +۵ مورد دیگر

M.Sc. Anna Prado is a Research and Teaching Associate at the Chair of Communication Networks (Prof. Kellerer) at the Technical University of Munich. She holds a B.Sc. in Information Systems and Communication Engineering from Bauman Moscow State Technical University (2017) and an M.Sc. in Communication Engineering from TUM (2020). She is currently pursuing her Ph.D., focusing on mobility management in 5G/6G networks, simulation of wireless systems, and digital twins for 6G. Her research emphasizes minimizing handover occurrences while ensuring smooth user connectivity through optimization and reinforcement learning techniques. Anna's academic role involves contributing to projects like the BMBF-funded 6G-ANNA initiative, which aims to develop holistic 6G systems prioritizing security, sustainability, and flexibility. She collaborates on network architecture design, resource allocation strategies, and resilient communication frameworks. Her work aligns with German technological sovereignty goals, addressing industrial and societal needs through advanced network technologies. Her research interests span 5G/6G networks, wireless resource management, digital twins, and machine learning applications in networks. She has authored/co-authored peer-reviewed papers on topics like admission control, slice dimensioning, energy-efficient edge orchestration, and secure 6G architectures. Her contributions enhance network efficiency, reliability, and adaptability for future communication systems. Anna is actively involved in the FlexComNetsLab and 6G-IP Lab, testing and demonstrating innovative 6G concepts. She participates in conferences and collaborates with industry partners to bridge academic research and real-world deployment.

Christine Miaskowskiمشاهده پروفایل

استاد

• Pain Management
• Symptom Science
• Oncology Nursing
• +۷ مورد دیگر

Christine Miaskowski is a Professor at the University of California, San Francisco (UCSF) School of Nursing. With a PhD in Physiology from St. Johns University and a postdoctoral fellowship in Pain Management at UCSF, she is internationally recognized for her work in pain and symptom management research. Education: BSN (Molloy College), MS (Adelphi University, Nursing), MS (St. Johns University, Biology), PhD (St. Johns University, Physiology), Postdoc (UCSF, Pain Management) Her research focuses on identifying phenotypic and genotypic characteristics that predict severe symptoms in cancer patients and survivors, particularly through symptom cluster analysis and biomarker discovery. Recent work examines age-related differences in symptom co-occurrence. The 15 most recent articles highlight her expertise in symptom clusters, genotypic markers, and patient-reported outcomes across oncology, neuroscience, and behavioral science. Key subfields include chemotherapy complications, neurogenetics, and remote monitoring technologies. She has received multiple accolades, including the Wilbert Fordyce Clinical Investigator Award and Distinguished Nurse Researcher honors from the Oncology Nursing Society. Her NIH-funded grants span topics like chronic pain in older adults, cancer-related fatigue, and symptom management training programs. Current projects include a 2021-2025 R01 on chronic pain in older adults and a 2017-2022 T32 training grant.

• Software Engineering
• Software Evolution
• Knowledge Worker Productivity
• +۴ مورد دیگر

Gail Murphy is a Professor in the Department of Computer Science and Vice-President Research & Innovation at the University of British Columbia (UBC). A co-founder of Tasktop Technologies Incorporated, she leads the Software Practices Lab and is affiliated with CAIDA (Centre for Artificial Intelligence Decision-making and Action) and ICICS (UBC Institute for Computing, Information and Cognitive Systems). B.Sc. (Honours), University of Alberta (1987) M.Sc., University of Washington (1994) Ph.D., University of Washington (1996) Her research focuses on software engineering , particularly improving knowledge worker productivity and tools for evolving large-scale systems. She combines lightweight design approaches with industrial evaluations, addressing structural degradation in software systems through: Techniques for understanding/imposing structure in existing systems Design approaches for component reuse and flexible architectures Her recent work includes developer discussion analysis for design recovery (2022), semantic-based task relevance detection (2022), and automated resource-task association (2023). Awards include SIGSOFT Outstanding Research Award (2023), ACM Fellow (2023), and Royal Society of Canada Fellow (2023). She has taught courses like Introduction to Software Engineering (CPSC 310) and Software Construction (CPSC 210).