جست‌وجوی استاد و پژوهشگر

Alejandro Melendez-Calderonمشاهده پروفایل

مدرس ارشد

• Neurorehabilitation Engineering
• Biomedical Robotics
• Human Sensorimotor Control
• +۳ مورد دیگر

Dr. Alejandro Melendez-Calderon is a Senior Lecturer at the University of Queensland (UQ), holding dual affiliations with the School of Electrical Engineering and Computer Science (primary appointment) and the School of Health and Rehabilitation Sciences. He also serves as a Principal Research Fellow at the Jamieson Trauma Institute, leading the Rehabilitation and Outcomes theme. With over 19 years of interdisciplinary experience in robotics, biomedical engineering, and clinical research, his work focuses on human augmentation technologies, neuromuscular control, and neurorehabilitation engineering. He earned his PhD in Robotics and Biomedical Engineering from Imperial College London (2011) and has held roles at institutions such as Northwestern University, ETH Zurich, and industry leader Hocoma AG. His lab, the NeuroEngineering, Rehabilitation and Medical Robotics Lab at UQ, develops innovative solutions for movement disorders, wearable robotics, and sensorimotor rehabilitation. Research interests include human-robot interaction strategies, computational modeling of motor control deficits, and clinical translation of assistive technologies. His recent work emphasizes adaptive robotic systems for gait training, competition-driven physical effort modulation, and sensor-based assessments for stroke and spinal cord injury populations. Publications highlight contributions to movement smoothness metrics, robotic exoskeleton control algorithms, and interdisciplinary frameworks for sensorimotor evaluation. Collaborations span academic, clinical, and industrial partners to bridge engineering innovation with clinical needs.

Richard Boyceمشاهده پروفایل

دانشیار

• Clinical Decision Support Systems
• Pharmacovigilance
• Drug Interaction Analysis
• +۳ مورد دیگر

Richard Boyce is an Associate Professor in the Department of Biomedical Informatics at the University of Pittsburgh's School of Computing and Information. His work focuses on clinical decision support systems (CDSS), pharmacovigilance, and distributed knowledge bases. He leads research in drug interaction analysis, particularly involving natural products like cannabis, and develops machine learning tools for healthcare applications. His address is 530 DBMI Building, Pittsburgh, PA 15260, with contact email rdb20@pitt.edu. Boyce’s research integrates clinical and pharmacological data to improve patient safety through advanced analytics. Recent projects include predicting Alzheimer’s disease using EHR data, falls prediction in nursing homes, and optimizing CDSS modules for resource-limited settings. His team also develops open-source knowledge graphs for life sciences, enhancing data interoperability. Education: Details not explicitly listed in the provided text. Labs/Teams: Affiliated with the Department of Biomedical Informatics and School of Computing and Information at Pitt. Publications highlight his contributions to pharmacovigilance signal detection, machine learning in healthcare, and ontology engineering. Notable works include studies on cannabis-drug interactions and CDSS design for clinical practice.

Joy J Gengمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Attention
• Perception
• +۳ مورد دیگر

Professor Joy J. Geng is a faculty member at the University of California, Davis, where she leads the Integrated Attention Lab. Her research focuses on understanding how goal-directed and sensory-driven information interact to shape perception, with a particular emphasis on attentional control mechanisms. She employs neuroimaging (fMRI), eye-tracking, and electrophysiological techniques to study neural and cognitive processes underlying attentional selection and distractor suppression. Dr. Geng holds a Ph.D. in Psychology from Carnegie Mellon University and a B.A. in Psychology from Cornell University. She teaches courses in Cognitive Neuroscience, Perception, and Current Research in Psychology. Her work has been supported by grants, including a James S. McDonnell Foundation grant for studying memory and attention in virtual reality. Her lab investigates how behavioral goals and prior experiences influence attentional priorities, using methodologies such as virtual reality, EEG/ERP, and collaborations with TMS and pharmacology studies. Recent advancements include exploring multisensory integration, task-adaptive target templates, and distraction mitigation strategies. The lab maintains a supportive environment highlighted in its lab manual and has produced notable alumni across academia and industry. Dr. Geng advises numerous graduate and undergraduate students, many of whom have pursued postdoctoral research or faculty positions. Her contributions to the field include pioneering studies on attentional suppression, template adaptation, and the neural underpinnings of visual search efficiency.

Isabel Jiménez Gutiérrezمشاهده پروفایل

دانشیار

• Translation and Interpretation
• Specialized translation
• Translation of Medical Texts
• +۵ مورد دیگر

Isabel Jiménez Gutiérrez is an Associate Professor in the Department of Philology and Translation at Universidad Pablo de Olavide, specializing in French Philology. She holds a PhD from the University of Malaga (2009) with a thesis titled "Approach to anatomical terminology in Spanish, English and French: standardization problems and their implications for the translation of biomedical texts," supervised by Dr. Elena Echeverría Pereda. Her research interests focus on specialized translation, particularly in medical texts, with emphasis on anatomical terminology across Spanish, English, and French. She has made significant contributions to translation pedagogy, developing innovative teaching methods for training future translators. Her work addresses key challenges in reverse translation (translation into non-native language), which has gained increasing importance in the professional translation market. Dr. Jiménez Gutiérrez's recent publications demonstrate a strong focus on translation education methodology, with particular attention to student productivity, self-assessment, and professional skill development. Her work bridges theoretical translation studies with practical classroom applications, emphasizing the use of technology and collaborative learning approaches in translator training. Her research shows consistent engagement with medical terminology, particularly anatomical nomenclature, across multiple languages. This work addresses terminological variation phenomena (synonymy, polysemy, eponymy) that present additional obstacles for medical text translation. She has developed terminological databases to support professional translators working in biomedical fields. As an educator, Dr. Jiménez Gutiérrez has been involved in numerous educational innovation projects, including interdisciplinary collaboration between translators and subject matter experts in scientific-technical translation classrooms. Her teaching innovations focus on developing professional translator competencies aligned with current market demands.

Emmanuel Morinمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Bilingual Terminology Extraction
• +۵ مورد دیگر

Emmanuel Morin is a Full Professor in Computer Science at the University of Nantes, France. He is affiliated with the Computer Science Department of Nantes Institute of Technology (IUT) and leads the Natural Language Processing (TALN) team at the Digital Sciences Laboratory of Nantes (LS2N UMR CNRS 6004). His research focuses on computational linguistics with particular emphasis on multilingualism and multimodality. His academic leadership includes serving as Head of the NLP team (2017-present), Co-responsible for the ATAL (Machine Learning and Natural Language Processing) option of the Computer Science Master (2017-present), and Director of the Nantes computer science training department (2014-present). He also co-edits the Traitement Automatique des Langues (TAL) journal and serves on the steering committee of ATALA since 2004. Current projects: Atlantic 2020, ALALA Project (2019-present), ANR ADDICTE (2017-present), and Atlanstic 2020 RAPACE Project (2016-present) Past projects: Labex CominLabs LIMAH (2014-2019), ANR CRISTAL (2012-2016), and European FP7-ICT TTC project (2010-2012) Professor Morin's research spans natural language processing with a focus on bilingual terminology extraction and comparable corpora analysis. His recent work (2020-2022) shows strategic expansion into medical informatics applications like FrenchMedMCQA, while maintaining his foundational work on domain adaptation of language models using graph-based networks. His publications demonstrate a consistent trajectory from early terminology extraction methods to contemporary applications in specialized language processing. He has supervised numerous PhD students, with current advisees including Kévin Espasa, Martin Laville, Merieme Bouhandi, and Antoine Caubrière. His past students have made significant contributions to the field of natural language processing, continuing his research legacy in academia and industry.

Viviana Cotikمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Natural Language Processing (BioNLP)
• Information Extraction
• +۵ مورد دیگر

Dr. Viviana Cotik is an Associate Professor at the Department of Computer Science, Faculty of Exact and Natural Sciences, University of Buenos Aires. She also serves as Professor for the Master's Degree in Data Mining and Knowledge Discovery within the same department. Additionally, she works as an Assistant Researcher at the National Council for Scientific and Technical Research (CONICET) in Argentina. Artificial Intelligence Natural Language Processing (BioNLP) Information Extraction Machine Learning Biomedical Informatics Social Applications of AI Her research focuses on applying natural language processing techniques to biomedical domains, including negation detection in clinical reports, entity recognition in radiology texts, and cross-lingual information extraction. She investigates applications of AI in social inclusion and has developed methodologies for automatic classification of medical documents through machine learning and syntactic analysis. Her work also extends to data quality assessment frameworks and historical analysis of ICT education in Argentina. Recent publications highlight her expertise in Spanish and French language processing for biomedical texts, with applications in radiology report analysis and social implications of AI. She has contributed to multiple conferences including IberLEF, RANLP, ACL BioNLP, and IJCAI workshops, while also publishing in journals like International Journal of Information Quality and Fuzzy Sets and Systems . Scientific recognition: First prize in Estudiantiles Works Contest (undergraduate category), 33rd JAIIO, 2004 She has delivered numerous guest lectures internationally, including at Stanford's Women in Data Science chapter, Universidad Nacional de La Plata, and institutions in Peru, Germany, UK, and Spain. Her outreach activities include coordinating the Computer History Museum and organizing Drunk Talks for PhD students.

Barry Smithمشاهده پروفایل

استاد

• Applied Ontology
• Artificial Intelligence
• Biomedical Informatics
• +۵ مورد دیگر

Barry Smith is a SUNY Distinguished Professor of Philosophy at the University at Buffalo, holding the Julian Park Chair in the Department of Philosophy. He also serves as Director of the National Center for Ontological Research (NCOR) and maintains affiliate appointments in Biomedical Informatics and Computer Science & Engineering. With joint appointments across multiple departments, Smith is a leading figure in the field of applied ontology and its applications across disciplines. Smith received his PhD in Philosophy from the University of Manchester in 1976, following MA and BA degrees in Mathematics and Philosophy from Oxford University. His educational background reflects his interdisciplinary approach that bridges philosophy, mathematics, and computer science. Smith's research focuses primarily on applied ontology, with significant contributions to biomedical informatics, artificial intelligence, and philosophy of science. His work has established foundational frameworks that enable data integration and knowledge representation across multiple domains. He has pioneered the development of Basic Formal Ontology (BFO), which has become the most widely adopted top-level ontology framework and was approved as an ISO standard (ISO/IEC:21838-2). His research has significantly influenced the Open Biomedical Ontologies (OBO) Foundry, a suite of interoperable ontology modules supporting biology and biomedicine research. Smith's publications over the past five years demonstrate a consistent focus on the applications of ontology to pressing scientific challenges, particularly in biomedical domains (including COVID-19 research), artificial intelligence limitations, and knowledge representation. His work spans theoretical developments in formal ontology while maintaining strong practical applications in real-world information systems. Wolfgang Paul Award of the Alexander von Humboldt Foundation (2002) Paolo Bozzi Prize in Ontology (2011) Fellow of the American College of Medical Informatics (FACMI) (2013) Smith has supervised numerous graduate students and postdoctoral researchers, contributing to the development of a new generation of ontologists. His research has been supported by major funding agencies including the National Institutes of Health, National Science Foundations of the US, Switzerland and Austria, the Volkswagen Foundation, the European Union, and the US Department of Defense. Since 2000, he has served as a consultant to Hernando de Soto on projects related to property and business rights among the poor in developing countries. As Director of the National Center for Ontological Research, Smith leads a team focused on advancing ontological methods and applying them to diverse domains including biomedical informatics, defense intelligence, and industrial engineering. His work continues to shape how we represent and integrate knowledge across disciplinary boundaries.

• Biomedical Informatics
• Health Information Systems
• Artificial Intelligence in Healthcare
• +۳ مورد دیگر

Ankur Agrawal is the Chair and Professor of Computer Science at St. Edward's University, School of Natural Sciences. His research focuses on Biomedical Informatics with an emphasis on ontology engineering and quality assurance of healthcare terminologies like SNOMED CT. Dr. Agrawal also serves as CAC Commissioner and Team Chair at ABET, demonstrating leadership in accreditation and educational standards. His work centers on improving healthcare data systems through machine learning applications, lexical analysis, and structural consistency checks in biomedical ontologies. Key contributions include developing tools for crowd-sourced ontology curation and visualizing SNOMED CT hierarchies. Publications from 2013-2024 consistently address quality assurance challenges in healthcare terminologies, leveraging both algorithmic and contextual methods. No scholarly awards are explicitly mentioned in the provided texts. Advising and grants: No specific student advisees or grant details provided in the text. His professional roles extend beyond academia to ABET, where he contributes to accreditation processes for engineering and technology programs. Labs/teams: Involved with ABET's accreditation committees and maintains a research focus through BioPortal and SNOMED CT initiatives.

• Medical Imaging
• Diffuse Optical Tomography
• Near-infrared Spectroscopy
• +۵ مورد دیگر

Hamid Dehghani is a Professor of Medical Imaging at the University of Birmingham, affiliated with the Computer Science department, Healthcare Technologies Institute, and The Centre for Human Brain Health (CHBH). With an extensive research portfolio spanning electromagnetic wave propagation within biological tissue and image reconstruction from physiological measurements, he has established himself as a leading figure in biomedical optics. His primary research interests include: Diffuse Optical Tomography Near-infrared Spectroscopy Image Reconstruction Engineering Electromagnetic Wave Propagation in Biological Tissue Multi-Modality imaging techniques Near Infrared Imaging for breast cancer detection Diffuse Optical Imaging of the human brain Professor Dehghani has produced 358 research outputs throughout his career, with consistent publication activity since 1998. His recent work demonstrates a strong focus on functional near-infrared spectroscopy applications for studying brain hemodynamics in response to auditory stimuli, development of real-time imaging techniques, and standardization of terminology in the field. His research bridges engineering principles with clinical applications across neuroscience and oncology. Current research projects include: BioSMART: BIOreactor Spatial Mapping and Actuation in Real Time (EPSRC, 2023-2026) Live monitoring of foreign-body response in animals by diffuse Raman spectroscopy (NC3Rs, 2021-2025) Next generation deep tissue quantitative optical imaging (NIH, 2021-2025) Open, Extensible, Standardized, and Customizable Computational Tools for Optical Brain Mapping (NIH, 2024-2025) Mild Traumatic Brain Injury Biomarker Study (mTBI-Predict) (US Army, 2023-2028) His research fingerprint shows significant expertise in Diffuse Optical Tomography (100%), Near-infrared techniques (68%), Image Reconstruction (62%), and Near-infrared Spectroscopy (56%). Professor Dehghani is actively accepting PhD students and continues to make substantial contributions to medical imaging technology development.

Heejun Kimمشاهده پروفایل

استادیار

• Text Mining
• Machine Learning
• Information Retrieval
• +۲ مورد دیگر

Dr. Heejun Kim is an Assistant Professor at the University of North Texas. He holds a Ph.D. from the University of North Carolina at Chapel Hill, an M.S. from the University of Illinois Urbana-Champaign, and a B.S. from Yonsei University. His research focuses on Text Mining, Machine Learning, Information Retrieval, Health Informatics, and Geographic Information Science. His work bridges computational methods with societal challenges, particularly in public health and social media analysis. Key research interests include analyzing health information credibility on social media, pandemic-related social dynamics, and designing sociotechnical systems for underprivileged communities. Dr. Kim’s recent studies investigate racial discrimination discourse on platforms like YouTube, mental health support mechanisms among college students, and the impact of information literacy on health decisions. His publications reflect a focus on pandemic-era social behaviors, digital health communication, and algorithmic solutions for biomedical literature analysis. Notable works include studies on anti-Asian hate speech during the pandemic and the role of social networks in Black American college students’ connections.

• Natural Language Processing
• Machine Learning
• Biomedical Informatics
• +۷ مورد دیگر

Jianlin Shi is an Assistant Professor in the Department of Internal Medicine at the University of Utah , with an adjunct appointment in Biomedical Informatics . His academic journey includes a PhD from University of California, Irvine , medical training at West China Medical Center , and residency at Sichuan University . Primary: Internal Medicine Adjunct: Biomedical Informatics Dr. Shi's research focuses on Natural Language Processing (NLP) in clinical settings , particularly for genetic testing criteria identification , medication disposition extraction , and clinical decision support systems . He has developed medspaCy , a Python NLP toolkit for healthcare, and created hybrid NLP frameworks integrating LLMs with rule-based systems to enhance disease screening and data privacy tools . His recent work spans 2025-2022 , emphasizing applications in surgical infection detection , dementia identification , and clinical cohort generation . While no formal awards are listed, his 15 most recent publications demonstrate sustained contributions to clinical NLP , medical decision support , and health data standardization .

LIU Boxiangمشاهده پروفایل

استادیار

• Genomics
• Bioinformatics
• Machine Learning
• +۳ مورد دیگر

Asst Prof LIU Boxiang holds the position of Assistant Professor and NUS Presidential Young Professorship at the Department of Pharmacy and Pharmaceutical Sciences, National University of Singapore (NUS), within the Faculty of Science. His research focuses on integrating multi-omics approaches with computational methods to study complex diseases such as coronary artery disease and age-related macular degeneration. He specializes in developing statistical and machine learning tools for genomic analysis, including eQTL mapping and deep learning architectures for gene expression regulation. Education: BA in Biophysics (Illinois Wesleyan University), MS and PhD in Bioinformatics (Stanford University). He contributed to the GTEx consortium and is part of the Asian Immune Diversity Atlas (AIDA) initiative. His lab develops methods like ANTseq for ancestry determination and scPrediXcan for cell-type-specific transcriptome studies. Research Interests: Functional genomics, eQTL analysis, deep learning in biomedicine, and computational tools for omics data integration. His work bridges disciplines such as natural language processing and computer vision with biological questions. Scientific Awards: NUS Presidential Young Professorship (2021). His lab's innovations include ParaMed, a biomedical translation dataset, and LinearDesign for optimized mRNA stability. Advising and Grants: Leads the Liu Lab (boxiangliulab.com), focusing on single-cell genomics, mitochondrial dynamics, and computational biomedicine. Collaborates on projects like the RESET cohort study for cardiovascular disease prevention.

Magdalena Zabielskaمشاهده پروفایل

استادیار

• Sociolinguistics
• Discourse Analysis
• Medical Discourse
• +۳ مورد دیگر

Dr. Magdalena Zabielska is an Assistant Professor at the Faculty of English, Adam Mickiewicz University (UAM) in Poznań, Poland. She earned her M.A. (2006) and Ph.D. (2010) in English from Poznań, specializing in sociolinguistics and discourse analysis. Her primary research explores medical communication, cross-cultural healthcare interactions, and digital discourse, with ongoing projects on migrant patient experiences and pandemic-related language. Research Focus: Zabielska investigates how language shapes healthcare experiences, analyzing professional medical texts, online patient forums, and crisis communication. Her work bridges sociolinguistics with applied contexts like migration medicine and public health messaging, employing methods from discourse analysis to thematic interpretation. Recent Publications: Her 2022-2024 articles reveal concentrated work on pandemic discourse, war narratives in digital media, and structural analysis of medical genres. Trends include heightened focus on marginalized voices (migrants, patients) and cross-cultural institutional communication. Awards & Projects: Rector's Awards for teaching excellence (2014) and research (2015, 2018) Principal Investigator for two major projects: 1) Communication challenges for foreign patients in Poznań (NSC-funded, 2020-2021); 2) COVID-19 discourse in medical vs. public spheres (AMU-funded, 2020-2021) Collaborations & Service: She co-organizes international conferences (e.g., COMET 2025), reviews for linguistics journals, and partners with researchers like Kiełkiewicz-Janowiak on medical discourse studies. Her teaching covers academic writing, healthcare communication, and sociolinguistics.

Daniel J. DiLorenzoمشاهده پروفایل

استادیار

• Neurosurgery
• Biomedical Engineering
• Epilepsy Treatment
• +۷ مورد دیگر

Daniel J. DiLorenzo, MD, PhD, MBA serves as an Assistant Professor with dual appointments in the Biomedical Engineering Science Division (Basic Sciences) and the Department of Neurosurgery at Loma Linda University School of Medicine. This unique positioning reflects his interdisciplinary expertise bridging clinical neurosurgery and biomedical engineering. Dr. DiLorenzo's educational background includes a Doctor of Medicine from Harvard University (awarded April 1, 2024), multiple advanced degrees in Electrical Engineering from MIT (including both Bachelor's and Master's degrees), and an MBA. This combination of engineering, medical, and business training forms the foundation of his translational research approach. His research program focuses on the development and clinical application of neurotechnologies, with particular emphasis on epilepsy monitoring and treatment systems, deep brain stimulation, and neural engineering solutions for neurological disorders. Dr. DiLorenzo has made significant contributions to understanding seizure prediction algorithms, electrode-tissue interfaces in chronic implants, and optimization of neurosurgical techniques for epilepsy management. His work spans from fundamental neural engineering principles to clinical implementation and commercial translation of neurotechnologies. Analysis of his publication record reveals a consistent trajectory from engineering fundamentals through clinical application to commercial implementation. His most recent work examines the societal return on investment in neurotechnology-based therapies, demonstrating his interest in the broader healthcare economics of neurological treatments alongside their clinical efficacy. Dr. DiLorenzo has been actively involved in medical device development, notably with the Neurovista system for epilepsy monitoring, and has published extensively on both technical engineering aspects and clinical neurosurgical applications. His historical reviews of the autonomic nervous system demonstrate a deep understanding of the foundational concepts in his field. His career exemplifies translational neuroscience, moving seamlessly between engineering laboratories, clinical neurosurgical practice, and medical device commercialization efforts, making significant contributions to both the scientific literature and clinical practice in neurosurgery and neural engineering.

Charmaine DM Royalمشاهده پروفایل

استاد

• Human Genetics
• Bioethics
• Race and Ethnicity Studies
• +۵ مورد دیگر

Charmaine DM Royal , the Robert O. Keohane Professor at Duke University, holds appointments across African & African American Studies , Biology , Global Health , and Family Medicine & Community Health . She directs the Duke Center on Genomics, Race, Identity, Difference (GRID) and the Duke Center for Truth, Racial Healing & Transformation , focusing on dismantling biological race myths and addressing social determinants of health through interdisciplinary research. Ph.D. and M.S. in Biology from Howard University Her research spans genomics ethics , race-related health disparities , and global health policy , with recent work examining sickle cell disease in low-income countries, genetic ancestry testing in Indigenous communities, and environmental influences on Mendelian disorders. Her 2025 grant from the Tom Russell Charitable Foundation supports mental health interventions for SCD populations. As a 2024 Hastings Center Fellow , she contributes to bioethics scholarship alongside prior recognitions like the Greenwall Faculty Scholar in Bioethics (2009) and Thomas Langford Lectureship (2013) . She teaches courses such as "Race, Genomics, and Society" and "Health in the African Diaspora", emphasizing critical race theory in scientific contexts.