جست‌وجوی استاد و پژوهشگر

Avery Everhartمشاهده پروفایل

استادیار

• Transgender Health Geography
• Medical Geography
• Demography & Population Studies
• +۷ مورد دیگر

Avery Everhart is an Assistant Professor in the Department of Geography , Faculty of Arts at the University of British Columbia. Their research bridges transgender health , critical GIS , and intersectional social science , focusing on how spatial analysis and critical theory can inform health policy and human rights for trans and gender diverse populations globally. Education : PhD in Population, Health & Place – University of Southern California (2022) MA in Gender Studies – Queen’s University BA in Gender Studies, Religious Studies, and French – University of North Carolina at Greensboro Their work emphasizes geographic information science , community-based participatory research , and transgender studies , addressing issues like access to gender-affirming care , data ethics , and structural racism in healthcare . They also explore the influence of US and anglophone scholarship on global trans health narratives. Recent publications analyze spatial inequities in transgender hormone therapy access, intersectionality in biomedical informatics , and methodological rigor for social justice-oriented science. They are co-founder of the Center for Applied Transgender Studies , a non-profit think tank publishing the open-access Bulletin of Applied Transgender Studies . Scientific Awards : Outstanding Dissertation Award – Digital Geographies Specialty Group, American Association of Geographers (2023) Order of Arête – University of Southern California (2022) Gamma Theta Upsilon Lifetime Inductee (2022) At UBC, they mentor students in trans and queer geographies , critical GIS , and applied social science , prioritizing those with lived experience or theoretical expertise in trans communities. They support interdisciplinary and public scholarship through the Public Scholars Initiative .

• Psychiatric Neuroscience
• Cognitive-Emotional Interactions
• Sleep Research
• +۵ مورد دیگر

Martin Desseilles is a psychiatrist, psychotherapist, and professor at the Faculty of Medicine of the University of Namur in Belgium. His academic appointment is within the Department of Psychology, and he is affiliated with multiple research units including the Clinical Pharmacology and Toxicology Research Unit, Transitions, Namur Institute for Complex Systems, and the Philosophical Space of Namur. He divides his time between clinical practice and research in psychiatric neuroscience, regularly giving courses and lectures both in Belgium and abroad. Dr. Desseilles holds a Doctor of Medicine degree from the University of Liège, granted on June 30, 2009. His research focuses on the interactions of cognitions and emotions through various techniques including behavioral, pharmacological, electrophysiological and neuroimaging approaches. He examines these interactions across different states (wakefulness, sleep, hypnosis and meditation) and in diverse populations (healthy individuals, those with mood disorders, anxiety disorders, and substance overconsumption). His work spans several key areas: psychiatric neuroscience, cognitive-emotional interactions, sleep research, neuroimaging, mood and anxiety disorders, and behavioral neuroscience. Recent publications demonstrate a strong focus on medical student well-being, digital phenotyping in autism, family caregiver assessment, addiction medicine, and innovative approaches to detecting domestic violence. Dr. Desseilles has written or co-written numerous original articles published in internationally recognized medical journals, edited three books, and published numerous book chapters, with a total of 161 research outputs documented. His research fingerprint prominently features sleep (100%), brain (52%), patients (51%), humans (47%), learning (36%), processing (35%), data (30%), and control (28%). Active participant in the McGill Family Medicine Education Research Group (FMER) Speaker at the Belgian College of Neuropsychopharmacology and Biological Psychiatry symposium (2018) Presenter at the French Congress of Psychiatry (2018) Contributor to Messa Belgium and Forum for Medical Education events (2018) His research portfolio includes five major projects, with one currently active (Research in behavioral neuroscience based on mouse models), two finished projects (ETEST and SATRAP), and two not yet started. He has supervised 24 research works and maintains an active presence in both clinical practice and academic research, contributing to mental health initiatives and student well-being programs at the University of Namur.

Tomasz Imielinskiمشاهده پروفایل

استاد

• Databases
• Data Science
• Intelligent Systems
• +۱ مورد دیگر

Tomasz Imielinski serves as a Professor at Rutgers, The State University of New Jersey, affiliated with the Intelligent Systems research group. His work bridges theoretical and applied data science with significant industry impact. His research spans Databases , Data Science , and Intelligent Systems , demonstrated through initiatives like the Articker project (featured in Forbes) and contributions to medical data science applications. He pioneered the Data 101 course, reflecting his commitment to foundational data education. Notable honors include: Grossman Innovation Prize (awarded with Prof. Ananda Gunawardena) Tadeusz Sendzimir Applied Science Award Recognition as top ten most influential database scholar by AMiner (2016) His leadership extends to translating academic research into real-world applications, notably through the Forbes-covered Articker project co-founded with his son, and contributions to medical data science frameworks inspired by 'Moneyball'-style analytics.

Sören Auerمشاهده پروفایل

استاد

• Semantic Technologies
• Knowledge Engineering
• Data Science
• +۷ مورد دیگر

Prof. Sören Auer is the Director of the German National Library of Science and Technology (TIB) and Professor of Data Science and Digital Libraries at Leibniz Universität Hannover's Faculty of Electrical Engineering and Computer Science . With academic positions at Dresden, Yekaterinburg, Leipzig, Pennsylvania, Bonn, and Fraunhofer Society, his career focuses on semantic technologies , knowledge engineering , and Artificial Intelligence Research Data Management Open Science Knowledge Graphs . He leads the Open Research Knowledge Graph (ORKG) initiative and co-founded DBpedia and eccenca.com . His research spans data science , AI-driven knowledge representation , and digital library systems . He has supervised numerous PhD theses and final-year theses while offering courses on Knowledge Engineering Semantic Web Technologies Data Integration Scientific Data Management . The technical focus includes semantic data interlinking , neuro-symbolic AI , and contextual metadata frameworks . As a recipient of prestigious awards including ERC Consolidator Grant SWSA Ten-Year Award ESWC 7-Year Best Paper Award OpenCourseware Innovation Award , Prof. Auer has led major projects like BigDataEurope and contributes to standards in W3C , NFDI , and EOSC . His recent publications demonstrate advancements in ontology alignment , LLM-driven schema discovery , and hybrid AI systems for scholarly knowledge organization.

Randy Allen Harrisمشاهده پروفایل

استاد

• Rhetoric
• Computational Rhetoric
• Cognitive Rhetoric
• +۵ مورد دیگر

Randy Allen Harris is a Professor cross-appointed between the Department of English and the David Cheriton School of Computer Science at the University of Waterloo. His academic journey includes a PhD in Communication and Rhetoric from Rensselaer Polytechnic Institute (1991), an MSc in Technical Communication (Rensselaer), an MSc in Experimental Linguistics (University of Alberta), an MA in English Literature (Dalhousie University), and a BA in English Literature (Queen's University). His research explores the intersection of rhetoric, cognition, and computation, with focus areas including: Cognitive and computational rhetoric examining how rhetorical figures reflect neurocognitive structures Construction Grammar and its relationship to rhetorical schemes Rhetoric of science and scientific argumentation Development of rhetorical ontologies for machine learning applications Voice interaction design and conversational interfaces Harris's publications demonstrate sustained focus on rhetorical theory, computational linguistics, and cognitive approaches to persuasion. His recent work increasingly engages with machine learning applications for rhetorical analysis and the development of rhetorical databases. Earlier foundational work established frameworks for understanding scientific argumentation and the cognitive dimensions of rhetorical figures. Significant honors include: Fellow of the Royal Society of Canada (2022) University of Waterloo Arts Award for Excellence in Research (2023) Award of Excellence in Graduate Supervision (2019) Multiple SSHRC and NSERC grants supporting computational rhetoric research He directs the RhetFig computational rhetoric project and has secured substantial funding including: NSERC Discovery Horizon grant (2024-2029) SSHRC Insight Grants (2018-2027) Mitacs Accelerate Grant (2009) Harris supervises graduate students in rhetoric, professional communication, linguistics, and cognitive poetics, and maintains collaborations with international researchers in computational linguistics and argumentation studies.

Sally Selfمشاهده پروفایل

استاد

• Transplantation Immunology
• Anatomic Pathology
• Clinical Pathology
• +۳ مورد دیگر

Sally Self is a Professor in the Department of Pathology at the Medical University of South Carolina College of Medicine, Charleston, SC. With expertise in Transplantation Immunology, Anatomic Pathology, and Clinical Pathology, she contributes to advancing diagnostic and therapeutic approaches in autoimmune diseases and dermatopathology. Education : MD from Vanderbilt University School of Medicine (1978), Residency in Pathology-Anatomic and Clinical at Medical University of South Carolina (1978–1986) Her research focuses on immunopathology, particularly in skin disorders like bullous pemphigoid and lupus nephritis. Recent publications highlight her work in identifying diagnostic patterns in dermatopathology and developing predictive tools for lupus treatment outcomes. Dr. Self is certified by the American Board of Pathology in Anatomic Pathology, Clinical Pathology, and Immunopathology, with active medical licensure in South Carolina. She has contributed to clinical news and research in her specialty through platforms like Doximity.

Eric M Morrowمشاهده پروفایل

استاد

• Neurodevelopmental Disorders
• Human Genetics
• Neurodegeneration
• +۶ مورد دیگر

Eric M Morrow is a Mencoff Family Professor of Biology, Professor of Brain Science, Neuroscience, and Psychiatry and Human Behavior at Brown University. His research focuses on genetic and molecular mechanisms underlying neurodevelopmental disorders such as autism and intellectual disability, with a strong emphasis on rare syndromes like Christianson Syndrome and GPT2 Deficiency. Education: PhD in Genetics and Neurodevelopment (Harvard University), MD from MIT/Harvard Medical School. Research Interests include: Neurogenetic syndromes and their molecular pathways Neuronal organelles (endosomes, lysosomes, mitochondria) Neurometabolism and neurodegeneration Development of gene therapies for cognitive disorders Scientific Awards Psychiatry Research Mentor Award (2011-2012) Collaborations span Brown's Developmental Disorders Genetics Research Program (DDGRP), the Carney Institute for Brain Science, and partnerships with clinical and basic science researchers. His lab is located at the Laboratories for Molecular Medicine (70 Ship Street) and is funded by NIMH, NINDS, and NIA.

Mona Garvinمشاهده پروفایل

استاد

• Medical image analysis
• Ophthalmic imaging
• Graph-theoretic approaches for three dimensional image segmentation
• +۳ مورد دیگر

Mona Garvin is a Professor in the Department of Electrical and Computer Engineering at the University of Iowa's College of Engineering. She also holds researcher positions at the Iowa Institute for Biomedical Engineering and the Iowa Initiative for Artificial Intelligence , blending engineering principles with medical imaging applications. Education PhD in Biomedical Engineering, The University of Iowa (2008) MS in Biomedical Engineering, The University of Iowa (2004) BSE in Biomedical Engineering (2003) BS in Computer Science (2003) Research Focus Her work specializes in ophthalmic image analysis , leveraging machine learning and graph-theoretic approaches for 3D segmentation of retinal structures. Current projects involve differentiating optic disc pathologies (papilledema, NAION) using OCT and enhancing retinal blood flow analysis through computational models. Professional Affiliations Institute of Electrical and Electronics Engineers (IEEE) Society of Photographic Instrumentation Engineers (SPIE) Association for Research in Vision and Ophthalmology (ARVO) American Society for Engineering Education (ASEE) Innovative Contributions Developed tools like AxoNet 2.0 and eyeFusion for automated retinal segmentation and visual field quantification. Her team explores deep learning solutions for OCT analysis, latent variable modeling in retinal thickness patterns, and radiation effects on retinal structures.

• Biochemistry
• Bio-energy with carbon capture and storage
• Bioinformatics
• +۵ مورد دیگر

Angela Re is an Associate Professor in the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin, specializing in computational biology and bioinformatics with applications spanning sustainable energy, healthcare, and environmental systems. Her research focuses on two primary domains: Data-driven biomolecular space representations through database development and network analysis tools Computational biology applied to prokaryotic/eukaryotic organisms across diverse ecosystems and industrial contexts Her work integrates bioinformatics, biophysics, and medical informatics to address UN Sustainable Development Goals including climate action (13), affordable clean energy (7), and good health (3). Recent publications (2024-2025) reveal strong thematic convergence in microbiome analysis, metabolic engineering, and protein function prediction. Key trends include machine learning applications for genomic data interpretation, sustainable chemical production using engineered microorganisms, and gut microbiota dynamics in neurodegenerative disease models. She actively mentors doctoral researchers and secures competitive funding: Supervised PhD students: Giulia Usai (2020-2024) and Luca Ricci (2019-2023) Current projects: PROT-mBIOMA-AD (Scientific Responsible, 2023-2025) on Alzheimer's gut microbiota, PNRR NEST Spoke 3 (2022-2025) for energy transition, and Solvay contract for battery membrane development Her research operates within the Institute of Fundamental Physics and Materials for Nanotechnology (DISAT), driving computational approaches to sustainable biotechnology challenges.

Alfredo Pulvirentiمشاهده پروفایل

استاد

• Bioinformatics
• Biomedicine
• RNA Interference
• +۹ مورد دیگر

Alfredo Pulvirenti is a Full Professor of Computer Science at the University of Catania, Italy. He holds a joint appointment with the Department of Clinical and Experimental Medicine and the Department of Mathematics and Computer Science. Born in 1974, he earned his Laurea (1999, summa cum laude), PhD (2003), and post-doc (2004) in Computer Science from the University of Catania. His academic career includes roles as Assistant Professor (2005-2014), Associate Professor (2014-2023), and Full Professor since 2023. His research bridges Bioinformatics and Biomedicine , focusing on RNA interference (microRNAs, long non-coding RNAs) via stochastic and network-based inference methods. Key contributions include subgraph matching , motif finding , and multiple network alignment using Monte Carlo techniques for analyzing biological networks . He also applies time series analysis to seismic and infrasonic signals through collaborations with Italy's National Institute of Geophysics and Volcanology (INGV). Recent publications highlight advancements in graph algorithms (e.g., MultiGraphMatch, ArcMatch) and systems biology tools like MITHrIL and SPECifIC. He co-directs the Jacob T. Schawartz International School for Scientific Research and leads national/regional projects on Bioinformatics and Big Data in Cancer . His group includes 3 researchers, 1 post-doc, and 3 PhD students in Complex Systems. Awards and Leadership : Best Paper Award at CBS 2009 Guest Editor for BMC Bioinformatics, Briefings in Bioinformatics, Elsevier Program Committee Member for major international conferences International Collaborations span institutions like NYU, Ohio State University Wexner Medical Center, Brown University, Tel Aviv University, Toronto University, and Università di Ancona.

Bunty Shahمشاهده پروفایل

دانشیار

• Interventional Pain Management
• Healthcare Simulation
• Anesthesia
• +۴ مورد دیگر

Bunty Shah, MD, is an Associate Professor specializing in Anesthesiology and Perioperative Medicine with a focus on Chronic Pain Management. Their work spans interventional pain techniques, healthcare simulation strategies, and anesthesia innovations. Their research interests include: Interventional Pain Management Healthcare Simulation Anesthesia Radiofrequency Neurotomy Low Back Pain Recent publications highlight advancements in diagnosing inflammatory syndromes (2025), technical adequacy of neurotomy procedures (2022), and pandemic preparedness simulations (2020). Collaborative efforts in clinical guidelines and policy implementation are evident. Honors include: Dean’s Award for Excellence in Teaching With strong Mendeley readership and social media engagement, Shah's work impacts both academic and clinical domains.

• Public Health Data Science
• Epidemiology
• Electronic Health Records
• +۷ مورد دیگر

Dr. Ruth Blackburn is a Senior Research Fellow in Public Health Data Science at the Population, Policy & Practice Department, University College London (UCL), based at the Great Ormond Street Institute of Child Health. She specializes in using electronic health records and administrative data for public health research and evaluation. Her educational background includes: PhD in Epidemiology from University College London (2016) MSc in Public Health from London School of Hygiene and Tropical Medicine (2011) BSc in Molecular Biology and Biochemistry from University of Durham (2007) Dr. Blackburn's research focuses on using electronic health records and administrative data for public health research, with particular emphasis on child and family health, social determinants of health, and mental health of children and young people. Her work often involves data linkage, especially through the ECHILD (Education and Child Health Insights from Linked Data) database, which links health and education data for England. She has expertise in examining health inequalities, particularly for vulnerable populations such as homeless people and women with substance misuse, and has contributed to infectious disease control research including response to the COVID-19 pandemic. Her recent publications demonstrate a strong focus on the intersection of health and education, particularly examining how chronic health conditions affect school attendance and outcomes, and how social determinants influence child health trajectories. Her work often employs innovative data linkage methods to combine health, education, and social care datasets. Dr. Blackburn has received recognition for her work through research funding including a UKRI Innovation Fellowship at the Institute of Health Informatics, where she was Deputy Leader for the Public Health Data Science Group. She is actively involved in mentoring and teaching: Supervision of 7 PhD students (4 completed) MRC DTP placements for 2 students MSc student supervision for 6 students Teaching Health Data Science, Statistics and Epidemiology to undergraduate medical students and post-graduates Dr. Blackburn co-leads Children and Young People's Mental Health themes for the NIHR Children and Families Policy Research Unit and the UKRI Population Mental Health Improvement Consortium. She is also Associate Director for the HDR UK Social and Environmental Determinants of Health Driver Programme which aims to link household information on the social and physical environment with health-related administrative and cohort data.

• Biomedical Informatics
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Dr. Yanqing Ji is a Professor in the Department of Electrical and Computer Engineering at Gonzaga University, specializing in biomedical informatics and high-performance computing. He serves as an editor for the Journal of Digital Signal Processing and a reviewer for 23 international journals. Education: Ph.D. in Computer Engineering, Wayne State University M.Sc. in Physical Electronics, University of Science & Technology of China B.E. in Industrial Automation, Qingdao University Dr. Ji's research focuses on biomedical association mining, adverse drug reaction detection, and parallel/cloud computing applications in healthcare. His work integrates machine learning, fuzzy logic, and multi-agent systems to enhance drug safety surveillance and biomedical literature search. His publications emphasize scalable MapReduce solutions for biomedical text mining, temporal association mining for drug interactions, and intelligent agent systems for pharmacovigilance. These span prestigious conferences like IEEE BIBM, ITNG, and NAFIPS, alongside journals such as BMC Bioinformatics and IEEE Transactions on Knowledge and Data Engineering . Scientific awards include NIH R21, AHRQ R18 grants, and NSF-funded projects (IGERT 9987598, MRI 9977815, ITR 0081696). He has led system design for distributed healthcare applications and optimized decision models using genetic algorithms.

Yeşim Özardaمشاهده پروفایل

استاد

• Clinical Biochemistry
• Reference Intervals
• Hemostasis
• +۳ مورد دیگر

Prof. Yeşim Özarda serves as Professor and Head of Department in the Department of Medical Biochemistry at Istanbul Health and Technology University Faculty of Medicine. With a medical degree from Istanbul University Faculty of Medicine (1990) and specialization from Marmara University (1996), she leads research in clinical biochemistry with emphasis on reference intervals and hemostasis. Her educational background includes: MD: Istanbul University Faculty of Medicine (1985-1990) Specialization in Medical Biochemistry: Marmara University (1992-1996) Research focuses on clinical biochemistry standardization, particularly reference interval methodology, hemostasis evaluation, and choline metabolism. Her work bridges veterinary and human medicine, with significant contributions to IFCC guidelines on reference values. Current projects involve multicenter studies on hematological parameters and biological variation analysis. Her publication trends reveal sustained leadership in reference interval standardization (65% of recent works), with growing emphasis on diurnal/seasonal variations in biomarkers and translational applications in neonatology. Key collaborations include global IFCC initiatives and Turkish nationwide studies. Award highlights: CHAİR position in IFCC committees Euromedlab Paris 2015 presentation award National recognition from Turkish Biochemistry Society As doctoral supervisor for Gül Özlem İskemi's thesis on ischemia-modified albumin, she maintains active mentorship. Administrative duties include department leadership and IFCC committee roles. Current projects focus on personalized reference intervals and biological variation studies.

• Bioinformatics
• Machine Learning in Healthcare
• Cancer Genomics
• +۳ مورد دیگر

Tuğba Süzek is an Associate Professor in the Department of Computer Engineering at Muğla Sıtkı Koçman University, Turkey. She holds a PhD in Bioinformatics from George Mason University (2012), an MSc from Johns Hopkins University (2000), and a BSc from Middle East Technical University (1997). Academic Background: BSc: Computer Engineering, Middle East Technical University (1993-1997) MSc: Bioinformatics, Johns Hopkins University (1998-2000) PhD: Bioinformatics, George Mason University (2003-2012) Research Interests center on bioinformatics , machine learning in healthcare , cancer genomics , transcriptomics , and molecular data analysis . She develops tools like TCGAnalyzeR for pan-cancer cohort discovery and CompCorona for coronavirus transcriptome analysis. Recent Articles span lung cancer pathogenesis, orthodontic malocclusion prediction, microbiome-host disease associations, and AI-driven diagnostic tools. Her work bridges cheminformatics and bioinformatics for drug repurposing. Scientific Awards ORISE Fellowship (2000) Patent Holder: System for Early Diagnosis of Skeleton Syndromes (2024) Advising and Grants include supervising student theses on AI in orthodontics and molecular cancer research . She leads EU-funded projects like Intraperitoneal immune modulation and TÜBİTAK grants for drug repurposing and neurodegenerative disease analysis .