جست‌وجوی استاد و پژوهشگر

• Terminology Applied to Translation
• Specialized Languages (English-Spanish)
• Corpus Linguistics
• +۳ مورد دیگر

Chelo Vargas Sierra is a Professor at the University of Alicante, affiliated with the Department of English Philology within the Faculty of Philosophy and Letters I (Philology). As a founding member and director since 2021 of the Interuniversity Institute of Applied Modern Languages (IULMA), she leads innovative research in terminology and translation technologies. Her academic background includes a PhD in Translation and Interpreting, a Master's in Audiovisual Translation (University of Cádiz), and a Master's in Terminology (Universitat Pompeu Fabra). PhD in Translation and Interpreting (University of Alicante) Máster en Traducción Audiovisual (University of Cádiz) Máster en Terminología (Institut Universitàri de Llingüística Aplicada) Her research focuses on terminology applied to translation, specialized languages (English-Spanish), corpus linguistics, and gender-sensitive terminology. She directs the DIGITENDER project (TED2021-130040B-C21) for digitizing multilingual terminological resources. She has participated in over 90 international conferences and chaired events like enTRetextos 2021 and AESLA 2016. Recent publications highlight trends in metaphor analysis in medical discourse, gender-sensitive terminology, and cross-linguistic sentiment studies in financial journalism. She chairs the Technical Standardisation Committee 191 for Terminology and has delivered 50+ international seminars for institutions like the European Union. Doctorate Extraordinary Award She serves on editorial boards of journals like Ibérica and Sendebar , contributes to translation technology training, and collaborates in international academic programs. Her work combines theoretical research with practical applications in translation technologies and terminological standardization.

• Bioethics
• Philosophy
• Emergency Ethics
• +۵ مورد دیگر

Ole Martin Moen is a Professor at the Institute of Nursing and Health Promotion , Oslo Metropolitan University, Norway. His research spans bioethics, philosophy, and social justice, focusing on topics such as end-of-life ethics, palliative care, emergency ethics, and the moral implications of healthcare policies. He is actively involved in the VoldAm project, investigating violence and threats against ambulance personnel in Norway. Research Focus: Bioethics, Palliative Care, Emergency Ethics, Social Justice, Human Enhancement Key Collaborations: Aksel Braanen Sterri, Brian Earp, Julian Savulescu, and others. Moen’s recent publications explore ethical dilemmas in drug policy, assisted dying, and intrinsic value theory. His outreach includes public debates on cross-disciplinary challenges and societal fears, reflecting his engagement with contemporary ethical issues.

• Environmental Psychology
• Climate Change Communication
• Public Opinion
• +۴ مورد دیگر

Jonathon P. Schuldt is a Professor in the Department of Communication and Brooks School of Public Policy at Cornell University, serving as Executive Director of the Roper Center for Public Opinion Research. His work bridges social psychology with public opinion on environmental and health issues. BS, Cornell University PhD, Social Psychology, University of Michigan Research explores social identity, communication processes, and public engagement with climate change, health, and U.S. politics. Focus areas include terminology effects, cultural determinants of environmental attitudes, and cross-platform climate discourse analysis. Recent publications analyze moral language in climate communication, citizen science labeling, transnational climate policy influence, and post-pandemic vulnerability frameworks. Articles appear in Proceedings of the National Academy of Sciences , Nature Climate Change , and Journal of Environmental Psychology . NSF Award, Collaborative Midterm Survey (2022) NSF Decision, Risk and Management Sciences RAPID award (2020) AAPOR Student-Faculty Diversity Pipeline Award (2019) Carnegie Junior Fellowship Nominee (2019) Top Faculty Paper Award, ICA Environmental Communication Division (2017) CALS Young Faculty Teaching Excellence Award (2015) Teaching emphasizes real-world application through courses like COMM 2850: Communication, Environment, Science, and Health and COMM 4200: Public Opinion and Social Processes . Outreach involves media engagement to inform public discourse on climate and health issues.

• Artificial Intelligence
• Biomedical Informatics
• Drug Design
• +۳ مورد دیگر

Marinka Zitnik is an Associate Professor of Biomedical Informatics at Harvard Medical School, Associate Faculty at the Kempner Institute for the Study of Natural and Artificial Intelligence, and Associate Member at the Broad Institute of MIT and Harvard. Her research focuses on advancing artificial intelligence for medicine and science, including AI-driven drug design, genomic medicine, and multimodal data fusion. She leads initiatives such as the Therapeutics Data Commons and the International AI4Science initiative, emphasizing AI's role in scientific discovery and personalized healthcare. Research Interests: Dr. Zitnik's work integrates AI with biomedical challenges, developing geometric deep learning and multi-scale models to address therapeutic design, disease prediction, and precision medicine. Her lab pioneers approaches for contextualized AI systems and large pretrained models to analyze genetic, cellular, and molecular data for clinical insights. Labs/Teams: Zitnik Lab (focusing on AI in Biomedicine) and collaborations across institutions like the Broad Institute and Harvard Data Science Initiative. She also contributes to global initiatives like the AI4Science network.

Samah Fodehمشاهده پروفایل

دانشیار

• Artificial Intelligence in Healthcare
• Machine Learning
• Biomedical Informatics
• +۷ مورد دیگر

Samah Fodeh is an Associate Professor in the Department of Emergency Medicine at Yale School of Medicine, with a secondary appointment in Biostatistics and affiliation with the VA Connecticut Healthcare System. Her research focuses on leveraging AI and machine learning to improve patient-centered care, particularly in healthcare communication, opioid addiction, HIV outcomes, and pandemic response. She leads the Fodeh Lab and collaborates on NIH-funded projects like the Bridge2AI Program. Education: PhD in Biomedical Informatics from Michigan State University (2010). Research Interests: Her work integrates AI techniques to analyze patient-generated and clinical data, including social media and electronic health records. Key areas include detecting patient preferences, improving pain care quality, and addressing public health crises like opioid misuse and suicide risk through Twitter-based analyses. She also develops predictive models for fall risks in aging populations with HIV. Publications: Over 39 peer-reviewed articles, emphasizing AI-driven solutions in healthcare. Recent work includes risk models for HIV patients, opioid misuse detection on social media, and pandemic-related sentiment analysis. Labs/Teams: Director of the Fodeh Lab, part of Yale’s Data Mining and Health Informatics initiatives. Collaborates with interdisciplinary teams at the Yale School of Public Health and computational biology programs.

Harry Hochheiserمشاهده پروفایل

دانشیار

• Biomedical Informatics
• Bioinformatics
• Clinical Informatics
• +۷ مورد دیگر

Harry Hochheiser is an Associate Professor at the University of Pittsburgh School of Medicine, affiliated with the Department of Biomedical Informatics and the Intelligent Systems Program. He serves as Director of the Biomedical Informatics Training Program and is a Pitt Cyber Affiliate Scholar, focusing on interdisciplinary research at the intersection of computer science and healthcare. Education: MS and BS in Electrical Engineering and Computer Science from MIT (1991) His research spans human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. He emphasizes user-centered design for biomedical data exploration, including electronic health records and clinical informatics. His recent work includes NSF-funded projects on computer security education and computational thinking, alongside teaching courses in algorithms, human-computer interaction, and information visualization. Analysis of his publications reveals a focus on biomedical informatics, machine learning in healthcare, clinical data modeling, and natural language processing applications. Collaborative efforts include projects on gene networks, drug interactions, and clinical decision support systems. His current projects aim to develop interactive systems for biomedical data exploration, with applications in cancer informatics, pharmacogenomics, and clinical workflow optimization. He actively contributes to evaluation frameworks for visual analytics in healthcare and participates in policy discussions through roles like the Association of Computing Machinery's US Public Policy Committee.

• Ontologies and Terminologies
• Neuroinformatics
• Big Data Analytics
• +۳ مورد دیگر

Licong Cui, Ph.D., is an Associate Professor at the McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth). She is also affiliated with the Center for Translational AI Excellence and Applications in Medicine (TEAM-AI) and the Texas Institute for Restorative Neurotechnologies (TIRN). Her research focuses on developing informatics methods to address biomedical data challenges, with expertise in ontologies, neuroinformatics, big data analytics, and clinical text mining. Dr. Cui has authored over 100 peer-reviewed publications and secured grants from NIH and NSF. Her work emphasizes ontology quality assurance, large language model applications in healthcare, and data integration frameworks. Notable contributions include developing the VaxBot-HPV chatbot for vaccine communication and advancing seizure frequency extraction methodologies using LLMs. Her honors include the 2022 AMIA New Investigator Award and 2021 NSF CAREER Award. Current projects involve enhancing NIH Common Data Elements with AI tools and improving EHR-based cohort querying through ontology-driven approaches. She collaborates on initiatives like the National Sleep Research Resource and Vaccine Ontology harmonization efforts.

Catia Pesquitaمشاهده پروفایل

دانشیار

• Semantic Web
• Biomedical Ontologies
• Knowledge Graphs
• +۷ مورد دیگر

Catia Pesquita is an Associate Professor in Computer Science at the Faculty of Sciences of the University of Lisbon , where she is also a Senior Researcher at LASIGE and leads the Health and Biomedical Informatics Research Line . With a multidisciplinary background in Biology and Computer Science, she focuses on Artificial Intelligence and Data Science applications in life and health sciences . Her research spans Semantic Web , Biomedical Ontologies , Knowledge Graphs , and Explainable AI , with significant contributions to ontology matching and semantic similarity . Education: PhD in Computer Science - Bioinformatics (2012) MSc in Bioinformatics (2008) Degree in Cell Biology and Biotechnology (2005) Current Projects: KATY (2021-2024): AI-Empowered Personalized Medicine for cancer treatments. BRAINTEASER (2021-2024): AI for ALS and MS disease progression models. Research Outputs: Developed tools like AgreementMakerLight (AML) , KGsim-benchmark , and the Epidemiology Ontology . Over 133 publications with significant citations (32,909 reads, 3,889 citations). Teaching: Lectures advanced topics in Databases , Data Integration , Bioinformatics , and Big Data . Advocacy: Vice-president of Biodata.pt , promoting biological data valorization in Portugal. Actively involved in initiatives to promote computer science careers to young women .

• Obstetrics
• Maternal-Fetal Medicine
• Prenatal Therapy
• +۳ مورد دیگر

Anna David is a Professor of Obstetrics and Maternal Fetal Medicine at University College London (UCL) . She serves as Director of the EGA Institute for Women’s Health and Deputy Director of Tommy's National Centre for Preterm Birth Research . David is also Visiting Professor at Katholieke Universiteit Leuven and holds the Professor Tan Seang Lin, Dr Grace Tan and OriginElle Fertility Distinguished Chair in Women’s Health since 2025. Education: BSc in Medical Science, University of St Andrews (1989) MB ChB, University of Manchester (1992) PhD in Fetal Gene Therapy, UCL (2005) Research Interests: David leads the Prenatal Therapy Group at UCL, focusing on developing prenatal treatments for severe fetal disorders. Her work spans fetal gene therapy , maternal VEGF gene therapy for growth restriction , fetal stem cell transplantation , and advanced imaging for fetal surgery . She also investigates preterm birth prediction/prevention and fetal growth restriction . Scientific Awards: Fellow of the Royal College of Obstetricians & Gynaecologists (2016) NIHR Senior Lectureship in Women’s Health (2008) Leadership & Collaboration: She is Lead for Women's Health Shadow Theme at the NIHR UCLH Biomedical Research Centre and Head of the Research Department of Maternal Fetal Medicine since 2016. David collaborates with institutions like KU Leuven and organizations such as Tommy's and Magnus Growth .

Elizabeth S. Chenمشاهده پروفایل

دانشیار

• Biomedical Informatics
• Clinical Informatics
• Natural Language Processing
• +۷ مورد دیگر

Dr. Elizabeth S. Chen is an Associate Professor of Medical Science and Health Services, Policy and Practice at Brown University. She serves as Interim Director of the Brown Center for Biomedical Informatics (BCBI) and leads the Clinical Informatics Innovation and Implementation (CI3) Lab, focusing on improving mental health (mental health informatics) and child health (pediatric informatics) via EHR, data mining, and machine learning. Her work spans clinical decision support, standards interoperability, and NLP for biomedical discovery. Education: PhD in Biomedical Informatics, Columbia University BS in Computer Science, Tufts University Research Interests: Dr. Chen’s research integrates electronic health data with health IT to advance healthcare delivery and translational research. Key areas include EHR optimization, clinical documentation, NLP, machine learning, and health information standards. She mentors students across levels and contributes to Rhode Island’s BIBCE Core for data accessibility in clinical research. Article Trends: Dr. Chen’s 15 most recent publications emphasize NLP, machine learning, and EHR applications in mental health, pediatrics, and public health. Topics include suicide risk modeling, comorbidity analysis, clinical documentation standards, and interoperability frameworks. Scientific Awards: Fellow of the American College of Medical Informatics (FACMI) Mentoring & Governance: Dr. Chen co-instructs biomedical informatics courses, mentors junior faculty, and held leadership roles at NIH/NLM (BILDS Review Committee Chair) and journal editorial boards. Her lab focuses on inspiring future clinical informaticians. Labs & Collaborations: The CI3 Lab at BCBI drives EHR innovation, implementation, and education. Dr. Chen collaborates with Rhode Island’s BIBCE Core, the Scholarly Concentration in Biomedical Informatics, and interdisciplinary teams in mental health and pediatric informatics.

Larry Auمشاهده پروفایل

استادیار

• Medical Sociology
• Science, Technology, and Society
• Precision Medicine
• +۳ مورد دیگر

Larry Au is an Assistant Professor of Sociology at The City College of New York (CUNY), affiliated with the Colin Powell School for Civic and Global Leadership. He holds a Ph.D. in Sociology from Columbia University and specializes in medical sociology, science and technology studies, and global health policy. His research focuses on precision medicine, China's biomedical innovation, and ethical dimensions of emerging technologies. Key themes include sociotechnical imaginaries in pandemics, post-COVID-19 symptom politics, and the globalization of biomedical fields. Dr. Au’s work has been funded by prestigious organizations including the Luce Foundation, Social Science Research Council, NSF, NIH, and the Precision Medicine and Society Program. His research has been published in journals such as Science, Technology, and Human Values , Public Understanding of Science , and Social Science & Medicine . He teaches courses on health sociology, science policy, and global health inequities. His recent studies analyze algorithmic bias in healthcare, trust dynamics in scientific communication, and organizational challenges in biotechnology translation. Dr. Au advocates for equity-centered global health responses, particularly regarding long-COVID and precision medicine governance.

• Multilingual Translation
• Health Translation
• Disability Inclusive Communication
• +۳ مورد دیگر

Professor Christine Ji is a leading academic in multilingual and multicultural translation studies at the University of Sydney's Faculty of Arts and Social Sciences. She holds a PhD from Imperial College London and an MA from University College London. As the Faculty Academic Lead (Disability), she focuses on inclusive translation practices for healthcare and cultural communication. Her research emphasizes multilingual health translation for multicultural and disability communities, with notable contributions to machine translation risk analysis and dementia diagnosis campaigns. She collaborates internationally with organizations like UNESCO and leads NHMRC-funded projects addressing dementia stigma in CALD communities. Teaching achievements include multiple awards for research supervision and educational innovation, reflecting her commitment to student mentorship. Her work spans environmental communication, health literacy, and AI-driven translation tools, supported by grants totaling over $3.5M. She advises global health NGOs and has authored over 50 books and peer-reviewed articles. Education: PhD (Imperial College London), MA (University College London) Grants: $1.5M NHMRC grant (2024), $1.9M NHMRC grant (2022), Sydney Policy Lab funding Labs/Teams: Leads multilingual health translation workforce training with Australian Institute of Interpreters & Translators Future Work: Expanding AI applications in health translation, global dementia communication networks

Pablo Callejaمشاهده پروفایل

پژوهشگر ارشد

• Natural Language Processing
• Medical Informatics
• Legal Informatics
• +۵ مورد دیگر

Pablo Calleja is a Research Fellow at the Faculty of Computer Science, Polytechnic University of Madrid (UPM), where he has been a member of the Ontology Engineering Group (OEG) since March 2014. His research focuses on Natural Language Processing (NLP), medical terminology mapping, and legal domain applications. He holds a degree in Computer Engineering from San Pablo CEU University (2013) and has prior industry experience as a software developer at IECISA (2008–2011) and a collaboration grant at the Open Access Classroom, San Pablo CEU University (2011–2013). Key contributions include projects like Drugs4covid for pandemic drug discovery, TermitUp for terminological enrichment, and esT5s , a Spanish text summarization model. His work spans legal knowledge graphs, multilingual compliance systems, and NER techniques for academic content analysis. He has also explored accessibility multimedia services and semantic graph applications in tourism ( DBtravel ). Professional roles include collaboration grants at UPM and active participation in interdisciplinary projects such as SNOMED-CT annotation for medical technical sheets. Research trends emphasize cross-domain adaptation (e.g., K-Flares), data augmentation (Widaug), and multilingual NLP solutions. Advising and grants: His current position is supported by a collaboration grant at OEG. Earlier grants include work at San Pablo CEU University. No formal advisees are listed, but he contributes to collaborative research teams. Labs and teams: Core member of the Ontology Engineering Group (OEG), focusing on knowledge representation, NLP, and applied informatics in healthcare and law domains.

Mo El-Hajمشاهده پروفایل

دانشیار

• Natural Language Processing
• Financial NLP
• Arabic NLP
• +۹ مورد دیگر

Dr. Mo El-Haj is a Reader (Associate Professor) in Natural Language Processing (NLP) at the College of Engineering & Computer Science, VinUniversity, Hanoi, Vietnam, and holds a visiting role at Lancaster University. He specializes in NLP with a focus on Financial NLP, Arabic NLP, and multilingual systems for under-resourced languages. Education: PhD in Computer Science (University of Essex, 2012), MSc in Information Systems (University of Jordan, 2008), BSc in Computer Information Systems (University of Jordan, 2005). Awards include the FHEA Fellowship (2021) and the 2016 BBC NewsHack Best Tool award. Research interests include text summarization, financial narrative processing, biomedical NLP, and corpus linguistics. He leads the VinNLP research group and has supervised/co-supervised over 20 PhD students. Notable projects include the Welsh Automatic Text Summarisation tool (ACC) and the FreeTxt bilingual analysis toolkit, funded by the Welsh Government and AHRC. Publications span 92+ works in top journals/conferences like Computational Linguistics and LREC. Active in organizing workshops (e.g., WACL-4, FinNLP) and has served as external/internal PhD examiner at UK universities.

Vincenzo Della Meaمشاهده پروفایل

دانشیار

• Medical Informatics
• Digital Pathology
• Biomedical Ontologies
• +۳ مورد دیگر

Vincenzo Della Mea is an Associate Professor of Information Processing Systems at the University of Udine's Department of Mathematical, Computer and Physical Sciences. His research focuses on medical informatics, digital pathology, biomedical ontologies, and AI applications in healthcare. He holds abilitation to full professorship and is a member of the WHO Italian Collaborating Centre for International Classifications (WHO-FIC), ICHI Task Force, and ESDIP's Executive Board. He leads the EU MSCA Doctoral Network BosomShield (2022-2026) and previously managed the AIDPATH Marie Curie project. As an editor for journals like Digital Health and Journal of Pathology Informatics , he bridges academia and practice. Beyond academia, he is a poet with awards, including the Nelle terre dei Pallavicino Prize for his 2004 collection Algoritmi , and organizes interdisciplinary events merging science and literature. Education & Roles : Holds a professorship in Computer Science and teaches courses on web technologies, medical informatics, and AI across multiple degree programs. Previously served as Vice-President of SIBIM (Italian Biomedical Informatics Society). Research Interests : Specializes in digital pathology, medical AI, telemedicine, and standardization of health classifications like ICD-11 and ICF. His work emphasizes ontology harmonization and machine learning for clinical decision support. Recent Contributions : Published on WHO classification harmonization, AI-driven pathology tools, and energy-sector LLM applications. Active in editorial roles and international collaborations, including the HEROHE Challenge for breast cancer analysis. Awards & Recognition : 2023 – Poetry collection Clone 2.0 (neurally generated) 2005 – Nelle terre dei Pallavicino Award Grants & Projects : Led EU-funded projects (AIDPATH, BosomShield) and contributed to initiatives like the ICD-11 Mortality Coding System. Collaborates with institutions like AcegasApsAmga on AI for utilities. Labs & Initiatives : Involved in digital pathology workflow optimization and educational platforms for medical coding and AI ethics.