جست‌وجوی استاد و پژوهشگر

Lucy Hedermanمشاهده پروفایل

دانشیار

• Health Informatics
• Clinical Decision Support Systems
• Healthcare Data Integration
• +۳ مورد دیگر

Dr. Lucy Hederman is an Associate Professor in Computer Science at Trinity College Dublin (TCD), affiliated with the O'Reilly Institute. Her research focuses on leveraging data and documents to support clinical decision-making, particularly in healthcare knowledge work. She has led interdisciplinary projects addressing data integration for rare diseases (e.g., ANCA-vasculitis, MND) and socio-technical challenges in adopting patient-generated health data (PGHD) into clinical practice. Dr. Hederman has secured over €xxxk in research funding and leads the Heterogeneity and Interoperability (H&I) challenge in the SFI-funded ADAPT 2 Centre. Her educational background includes advanced studies in computer science and healthcare informatics, though specific degree details are not explicitly stated in the text. She has supervised 4 PhDs, 2 research MScs, and co-supervised 6 PhDs, while currently mentoring 8 graduate students. Her career includes founding TCD spinouts PBOC and BIOLOGIT, which align with her research in health informatics and technology. Key research interests include: Interdisciplinary collaboration between clinicians, researchers, and technologists Data harmonization for multi-national clinical studies (e.g., FAIRVASC, Precision-ALS) Development of clinical decision support systems (CDSS) Design of mobile health (mHealth) tools for underserved populations Recent work emphasizes FAIR principles for healthcare data and socio-technical factors influencing PGHD adoption. She has contributed to over 70 peer-reviewed publications and actively participates in initiatives like the EU-funded TRANSFORM project and HRB Primary Care Research Centre. Dr. Hederman’s professional memberships include the Irish Computer Society, ACM, and Healthcare Informatics Society of Ireland. Her research has impacted healthcare practices in Ireland, with many MSc student projects influencing local health services.

Amanda Jensen-Dossمشاهده پروفایل

استاد

• Clinical Psychology
• Mental Health Implementation Science
• Measurement-Based Care
• +۳ مورد دیگر

Amanda Jensen-Doss is a Professor and Director of Clinical Training in the Department of Psychology at the University of Miami's College of Arts and Sciences. Her work focuses on improving mental health care for children and adolescents through evidence-based practices, particularly in community settings. She leads the Child Implementation and Effectiveness Lab (CIELO Lab), which emphasizes translating research into clinical practice. Her research interests include measurement-based care (MBC), trauma-informed treatments, and implementation science. She has extensively studied clinician training, consultation strategies, and the role of data in optimizing youth psychotherapy outcomes. Key areas of focus include unaccompanied migrant children, adolescent treatment engagement, and therapist fidelity to evidence-based protocols. Dr. Jensen-Doss collaborates with community agencies to scale up evidence-based practices (EBPs), addressing barriers like funding and clinician self-efficacy. Her work bridges academic research with real-world clinical challenges, emphasizing pragmatic solutions to enhance mental health service delivery. She has contributed to national initiatives on MBC and EBP sustainability, and her lab provides resources for clinicians via platforms like shinyDLRs diagnostic tool. Notable grants and projects include the COMET study (Community Study of Outcome Monitoring for Emotional Disorders in Teens), which evaluates transdiagnostic treatments, and a focus on modular therapy approaches for anxiety, trauma, and conduct problems in schools. She advocates for clinician training models that balance expert consultation with cost-effectiveness. Her lab’s CIELO Lab website highlights ongoing projects on family support protocols for internalizing disorders and podcasts to improve health literacy. She is active in editorial roles, emphasizing methodological rigor and translational research in youth mental health.

Olufemi A. Omitaomuمشاهده پروفایل

استاد مدعو

• Energy Infrastructure Siting and Analysis
• Artificial Intelligence in Critical Infrastructure Systems
• Anomaly Detection in Complex Systems
• +۴ مورد دیگر

Olufemi A. Omitaomu is an Adjunct Professor at the Department of Industrial and Systems Engineering within the Tickle College of Engineering at the University of Tennessee, Knoxville. He serves as a Group Leader and Distinguished R&D Staff at Oak Ridge National Laboratory (ORNL), leading the Computational Urban Sciences Group in the Computational Sciences and Engineering Division. Ph.D., Industrial Engineering (Information Engineering concentration), University of Tennessee, Knoxville M.S., Mechanical Engineering, University of Lagos, Nigeria B.S., Mechanical Engineering, Lagos State University, Nigeria Dr. Omitaomu’s research focuses on artificial intelligence in energy systems , cognitive coupling of human-machine systems , anomaly detection in complex systems , energy infrastructure siting and analysis , and disaster risk analysis with urban systems resilience . His work integrates computational models, optimization techniques, and geospatial frameworks to address challenges in critical infrastructure systems. The 15 most recent publications highlight trends in renewable energy integration , climate adaptation strategies , and emergency resource allocation . Key methodologies include agent-based modeling , multicriteria decision analysis , and wavelet shrinkage , applied to domains like energy systems , disaster management , and urban sustainability . Scientific recognition includes: Distinguished R&D Staff, Oak Ridge National Laboratory Senior Member, Institute of Industrial and Systems Engineers (IISE) Senior Member, Institute of Electrical and Electronics Engineers (IEEE) He actively mentors MS and PhD students with expertise in Python programming , game theory , and human-machine systems . His research is supported by collaborations with ORNL and interdisciplinary grants.

Franz Lennard Ricklefsمشاهده پروفایل

استاد

• Neurosurgery
• Neuro-oncology
• Molecular Neurobiology
• +۵ مورد دیگر

Prof. Dr. med. Franz Lennard Ricklefs is a Senior Physician and Head of the Working Group at the Department of Neurosurgery, University of Hamburg Faculty of Medicine. He is a Medical Specialist in Neurosurgery with cross-disciplinary expertise in neuro-oncology, molecular pathology, and extracellular vesicle research. Affiliations: University Medical Center Hamburg-Eppendorf (UKE), European Liquid Biopsy Society (ELBS), International Consortium on Meningiomas (ICOM) Research Interests: His work focuses on neurosurgical oncology, particularly glioblastoma and meningioma pathobiology. He investigates DNA methylation patterns, extracellular vesicle biomarkers, and liquid biopsy implementation in clinical neuro-oncology. Additional interests include surgical outcomes for epilepsy and aneurysm management. Article Trends: Over the last decade, Dr. Ricklefs has published extensively on: Extracellular vesicle applications as liquid biopsy markers DNA methylation subclasses for glioblastoma and meningioma Multicenter surgical outcome benchmarking Immune evasion mechanisms in neuro-oncology Technological innovations in neurosurgical visualization Molecular characterization of rare CNS tumors Professional Contributions: He co-authored the MISEV2023 guidelines for extracellular vesicle studies and participates in international consensus reviews for meningioma classification. His collaborations span institutions across Europe and North America.

Stavros G. Vougioukasمشاهده پروفایل

استاد

• Agricultural Robotics
• Mechanization of Specialty Crops
• Automation in Harvesting
• +۵ مورد دیگر

Stavros G. Vougioukas is a Professor and Vice Chair in the Department of Biological and Agricultural Engineering at the University of California, Davis. His research focuses on agricultural robotics, mechanization, and automation for specialty crops, with particular emphasis on robotic harvesting systems and precision agriculture technologies. He leads initiatives in developing actuator systems, perception, and control mechanisms to optimize crop management. Key areas of expertise include robotic fruit harvesting, autonomous vehicle navigation in orchards, and site-specific pest management strategies. His work integrates mechanical engineering principles with advanced automation to address labor shortages and improve agricultural efficiency. Recent projects emphasize data-driven solutions for yield estimation, worker activity analysis, and economic viability of robotic systems. Academic contributions span over 50 peer-reviewed publications (2023-2025), with a focus on robotic orchard platforms, crop transport systems, and sensor-based automation. Notable innovations include vacuum suction end-effectors for fruit harvesting and GNSS-free navigation systems for autonomous vehicles. He also explores sustainable agricultural machinery through techno-economic analyses of electric/hybrid tractors. Current research bridges robotics and agricultural economics, addressing labor cost optimization and precision irrigation. His lab collaborates with industry partners to translate prototypes into field-ready solutions, emphasizing practical applications for specialty crop production systems.

Shiho Satsukaمشاهده پروفایل

دانشیار

• Sociocultural Anthropology
• Environmental Anthropology
• Science and Technology Studies
• +۳ مورد دیگر

Shiho Satsuka is an Associate Professor of Anthropology at the University of Toronto, Canada, specializing in sociocultural anthropology with regional expertise in East Asia and North America. Her research focuses on the politics of knowledge production , cultural translation of nature , and capitalism-environment relations . She is currently developing a book project titled The Charisma of Wild Mushrooms: Undoing the Long Twentieth Century , examining how mushroom science can destabilize industrial modernity. Ph.D. in Anthropology (University of California, Santa Cruz, 2004) Her ethnographic work spans: Transnational translation of ecological knowledge in Japanese tourism (book: Nature in Translation , Duke 2015) Satoyama forest revitalization movements Matsutake mushroom's role in reimagining interspecies coexistence Comparative studies of Canadian multiculturalism and Japanese coexistence models Publications demonstrate trends in: Multispecies entanglements Environmental knowledge pluralism Decolonizing scientific frameworks Ontological multiplicity in cultural analysis Anthropocene ethnography Collaborative research methodologies Awards and grants include: SSHRC Insight Grant (2016-2022) for Matsutake Worlds research Carson Fellowship (2012) at Rachel Carson Center She supervises graduate students in areas of environmental anthropology and science studies while maintaining a collaborative research network across Japan, North America, and Europe.

Duncan Wilsonمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Artificial Intelligence (AI)
• Smart Cities
• +۷ مورد دیگر

Duncan Wilson is a Professor of Connected Environments at the Bartlett Centre for Advanced Spatial Analysis (CASA) at University College London. His work bridges academia and industry, focusing on IoT, AI, and spatial analysis to enhance understanding of built and natural environments. Current role: Professor of Connected Environments at UCL Education: PhD in Artificial Intelligence and Machine Vision (UCL, 1997), BEng (Hons) in Electrical Engineering (Loughborough University, 1993) Research interests include: Cognitive computing at the network edge Extraordinary sensory systems for data capture Spatial reasoning and digital twins IoT for healthcare and biodiversity Edge AI and TinyML Recent articles span digital twin development , IoT for biodiversity monitoring , and smart healthcare infrastructure . He has received recognition for collaborative R&D approaches during his directorship at Intel's Sustainable Connected Cities institute. Teaching: Leads MSc Connected Environments and modules on IoT ethics, AI on microcontrollers, and sensor network deployment Projects: IoT Living Lab at UCL, Project Hercules for eye clinic analytics, and Shazam for Bats environmental monitoring Professional activities: Former Director of Intel Collaborative Research Institute (2012-2018), ex-member of Smart London Board (2017-2022)

Paolo Fornasieroمشاهده پروفایل

استاد

• Heterogeneous Catalysis
• Nanostructured Materials
• Environmental Catalysis
• +۷ مورد دیگر

Professor Paolo Fornasiero is a Full Professor of Inorganic Chemistry at the University of Trieste, Department of Chemical and Pharmaceutical Sciences, where he has worked since 1998. He serves as Deputy Director of the department since 2021 and Scientific Responsible of the CNR Research Unit associated with the Institute of Chemistry of OrganoMetallic Compounds (ICCOM) since 2008. His career spans EU projects, bilateral collaborations with China, India, and Argentina, and leadership roles in journals like ACS Catalysis (Executive Editor since 2021). Full Professor (2016–present) Associate Professor (2006–2016) Assistant Professor (1998–2006) Post-Doc, University of Reading (1996–1997) His research focuses on multi-functional metal-oxide nanosystems for energy and environmental catalysis, including green hydrogen production , CO2 valorization , and methane emission control . He pioneered core-shell catalysts and single-atom systems for stability and selectivity. His work extends to solid oxide fuel cells and photocatalytic water depollution . Recent publications highlight trends in photothermal catalysis , single-atom catalysts , and CO2 electroreduction . His 280+ papers (3 in Science , 2 in Nature Communications ) reflect expertise across Environmental Catalysis , Nanomaterials , and Green Energy . 2022 Malatesta Medal 2021 European Academy of Sciences member 2017 Edoardo Kramer Award 2016 Heinz Heinemann Award 2013 Chiusoli Gold Medal He oversees PhD/postdoc advising and participates in global capacity-building via UNIDO and World Academy of Sciences . His lab collaborates with institutions like KAUST , Czech Academy of Sciences , and Dalian Institute of Chemical Physics .

• Neuroscience
• Machine Learning
• Neuroimaging
• +۴ مورد دیگر

Dustin Scheinost is an Associate Professor at Yale School of Medicine, affiliated with the Department of Radiology & Biomedical Imaging, Yale Child Study Center, Department of Statistics, and Yale Biomedical Imaging Institute. His research focuses on connectomics , machine learning , and neuroinformatics through the Multi-modal Imaging, Neuroinformatics, & Data Science (MINDS) Lab. Radiology & Biomedical Imaging (Primary) Child Study Center (Secondary) Statistics (Secondary) Wu Tsai Institute Yale Stress Center Research Interests include developing novel statistical and machine learning methods for functional connectivity in big neuroscience data, leading the BioImage Suite Web (BISWeb) platform, and advancing early life neuroimaging through the Fetal, Infant, Toddler Neuroimaging Group (FIT’NG). His work is supported by grants from NIMH, NIAA, NIDA, and NHLBI. Selected Scientific Contributions span functional connectivity in laterality preferences, anti-racist AI governance in psychiatry, self-citation trends in neuroscience, and predictive modeling of mood disorders. He collaborates extensively with Todd Constable and others on multimodal neuroimaging studies.

Andrew Bassettمشاهده پروفایل

پژوهشگر

• Genome Engineering
• Neurodegenerative Diseases
• Stem Cell Research
• +۵ مورد دیگر

Dr. Andrew Bassett serves as Head of the Cellular and Gene Editing Research group at the Wellcome Sanger Institute, where he develops cutting-edge genome engineering techniques using human pluripotent stem cells to investigate neurodegenerative diseases including Alzheimer's and Parkinson's. His work focuses on scaling genetic screening approaches and improving CRISPR specificity for modeling complex disease mechanisms. His academic training includes: PhD at the MRC Laboratory of Molecular Biology (MRC-LMB) with Andrew Travers on chromatin remodelling in heterochromatin formation Postdoctoral research with David Baulcombe at the University of Cambridge studying small RNA roles in chromatin modification Additional postdoctoral work with Chris Ponting at the MRC Functional Genomics Unit (MRC-FGU) in Oxford, where he pioneered CRISPR applications in Drosophila Bassett's research program centers on developing advanced genome engineering methodologies for precise modulation of gene expression networks during development and neurodegeneration. His group specializes in creating complex editing events (SNPs, paired knockouts, enhancer perturbations) within iPSC-derived models, with particular emphasis on epigenetic regulation and transcriptional control. Current projects integrate single-cell 'omics and phenotypic assays to decode genetic causes of neurodegenerative disorders through the OpenTargets consortium. Analysis of his 15 most recent publications reveals dominant trends in CRISPR technology development (35%), neurodegenerative disease modeling (30%), and single-cell functional genomics (25%). His work consistently bridges methodological innovation with disease mechanism studies, increasingly incorporating multi-omics approaches and expanding into cancer immunology and infectious disease applications since 2022. As group leader, Bassett mentors postdoctoral researchers and PhD students while securing major funding for genome engineering initiatives. His team operates within the Sanger Institute's Cellular Operations division and maintains critical partnerships with the OpenTargets consortium for therapeutic target validation. The laboratory specializes in high-throughput screening platforms using iPSC-derived neural and microglial models, with recent methodological advances including scSNV-seq and ONE-STEP tagging systems that significantly enhance precision genome editing capabilities.

Pengfei Wangمشاهده پروفایل

استادیار

• Geotechnical Engineering
• Engineering Seismology
• Applied Statistics
• +۴ مورد دیگر

Pengfei Wang is an Assistant Professor in the Department of Civil & Environmental Engineering at Old Dominion University (ODU). He holds a Ph.D. in Geotechnical Engineering and an M.S. in Statistics from UCLA, alongside a B.S. in Transportation Engineering from Tongji University. Prior to ODU, he conducted postdoctoral research at UCLA. His expertise focuses on Geotechnical Engineering , Engineering Seismology , and Applied Statistics , with emphasis on regional geo-hazard modeling, multi-hazards risk assessment, and statistical learning applications. Key research interests include seismic site response analysis, liquefaction susceptibility, and probabilistic risk frameworks for infrastructure resilience. Dr. Wang’s work integrates geospatial analysis and statistical methodologies to address challenges in earthquake engineering. He has developed frameworks for regional landslide and liquefaction risk assessments, particularly in vulnerable regions like California’s Sacramento-San Joaquin Delta. His contributions include advancing HVSR (Horizontal-to-Vertical Spectral Ratio) methodologies and ergodic site response modeling. He maintains active collaborations with institutions globally and contributes to open-source databases for seismic data, promoting transparency and reproducibility in geotechnical research. His educational background in transportation engineering enriches interdisciplinary approaches to civil infrastructure resilience.

Paul-Eric DOSSOUمشاهده پروفایل

پژوهشگر

• Industry 5.0
• Logistics and Supply Chain Optimization
• Digital Twin
• +۴ مورد دیگر

Paul-Eric DOSSOU is a Researcher at ICAM’s Grand Paris Sud campus, specializing in Societal and Technological Transitions of Companies. His work focuses on Industry 5.0, decision-aided systems, logistics optimization, and digital twin applications. He leads projects like Plateforme Life, Urban Logistics, and Healthcare 4.0, aiming to enhance SME efficiency through sustainable digital transformation. Expertise includes AI-driven supply chain management, cybersecurity for legacy systems, and robotic solutions for archaeology. He collaborates with industry partners to bridge theoretical research and practical applications, emphasizing human-centric automation and environmental sustainability. Contact: paul-eric.dossou@icam.fr | Mobile: +33 6 17 81 33 43 Research contributions span over 30 peer-reviewed articles since 2003, addressing topics from energy audits in the nautical industry to multi-agent systems in supply chain optimization.

Ambarish Kulkarniمشاهده پروفایل

استادیار

• Multi-scale molecular modeling
• Data science for materials discovery
• Catalysis
• +۵ مورد دیگر

Ambarish Kulkarni is an Assistant Professor in the Department of Chemical Engineering at the University of California, Davis. His research focuses on multi-scale molecular modeling, data science for materials discovery, catalysis, and separations. He combines quantum chemistry methods (e.g., wave function theory, density functional theory) with classical simulations and machine learning to design novel materials for applications in catalysis, energy storage, and environmental remediation. Specific areas of interest include methane activation, CO 2 capture, and heterogeneous electrocatalysis. His work bridges theory and experiment, collaborating with experimental groups to validate computational findings. Notable projects include: Developing catalysts with atomically dispersed metals for enhanced reactivity Designing zeolite materials for selective chemical transformations Creating machine learning workflows to accelerate material discovery Recent research highlights the role of water in CO 2 adsorption mechanisms, the dynamic behavior of confined nanoparticles, and redox-cycling phenomena in zeolite-embedded catalysts. His computational tools like the Multiscale Atomic Zeolite Simulation Environment (MAZE) enable detailed analysis of complex material behaviors. No scientific awards are explicitly listed in the provided information. His advising activities and grants are not detailed in the current data, but his extensive publication record indicates active research collaboration and funding support.

Elaine O'Reillyمشاهده پروفایل

دانشیار

• Biocatalysis
• Organic Chemistry
• Enzyme Engineering
• +۳ مورد دیگر

Elaine O'Reilly is an Associate Professor and Vice-Principal for Research & Innovation at the School of Chemistry, University College Dublin . She holds a PhD in organic chemistry from UCD (2010) and has held academic positions at the University of Manchester (Postdoctoral 2010-2014), Manchester Metropolitan University (Lecturer 2014-2015), and University of Nottingham (Assistant Professor 2015-2019, promoted to Associate Professor 2018). Expertise in biocatalyst development and application Specialization in transaminase and cytochrome P450 engineering Focus on sustainable pharmaceutical and fine chemical synthesis Research Interests center on creating biocatalytic cascades for synthesizing complex molecules like chiral amines and iminosugars. She pioneered transaminase-triggered aza-Michael reactions for alkaloid synthesis and developed smart amine donors to overcome equilibrium limitations in biotransformations. Scientific Awards include the RSC Harrison-Meldola Prize (2017) Grants from EPSRC, BBSRC, and SFI support her work on continuous transaminase processes, heterogeneous biocatalysts, and sustainable chemistry collaborations with the University of Nottingham. Teaching Activities include coordinating the Aspects of MedChem and ChemBio module since 2019 and supervising PhD/BSc theses on biocatalysis and chemical biology.

Miriam Stockمشاهده پروفایل

استاد

• Migration Studies
• Cultural Studies
• Postcolonial Theory
• +۷ مورد دیگر

Miriam Stock is Professor of Cultural Studies at the Institute of Humanities at Pädagogische Hochschule Schwäbisch Gmünd, where she also serves as Director of the Cultural Studies Department and Spokesperson for the Master's program 'Interkultur und Integration.' She is a founding member of the Center for Migration and Integration Studies 'Migration – Society – School.' Dr. Stock holds a PhD in Geography from Europa-Universität Viadrina Frankfurt (Oder) and completed her diploma in Geography at Ludwig-Maximilians-Universität München. Her academic journey includes research fellowships, organizational roles in international projects, and advisory work with refugee communities. Her research focuses on migration geographies, cultural theories, postcolonial approaches, urban development from post-migrant perspectives, and qualitative research methodologies. She examines migration and flight between the Arab region and Europe, urban development and consumption, rural perspectives on migration society, anti-discrimination in schools, critical masculinity and family studies, and theoretical-practical approaches. Dr. Stock's recent publications reveal a strong emphasis on transnational migration experiences, particularly Syrian refugee families, with attention to emotional dimensions, gender dynamics, and educational contexts. Her work frequently bridges theoretical frameworks with practical applications through projects like Erasmus Mundus Joint Master Program 'Education, Migration, and Diversity' (2024-2030). Success Story 2020 award for the Enable project As an advisor, Dr. Stock has supervised PhD candidates like Sara Mazzei (University of Calabria/PH Schwäbisch Gmünd) working on Arab-Islamic education systems in migrant experiences. Her grant portfolio includes significant Erasmus+ projects such as Enable (Self-learning for Arab refugee children) and PARENTable (Communicating with parents of newly migrated children), alongside research funded by the Werner-Zeller Foundation. Dr. Stock leads the Institute for Humanities and directs Cultural Studies department activities, including organizing lecture series on topics like 'Right Established - How the New Right Changes Education and Society,' 'Migration and Body,' and 'Emotions in Migration Society.'