جست‌وجوی استاد و پژوهشگر

• Computer Science
• Software Engineering
• Data Management
• +۷ مورد دیگر

Miguel Ángel Sicilia Urbán is a Full Professor in the Department of Computer Science at Universidad de Alcalá, Spain. His research focuses on software engineering, data management, and fuzzy systems, with recent work extending into blockchain technology, cryptocurrency, and semantic web applications. He holds a Ph.D. from Universidad Carlos III de Madrid (2003), where his thesis explored adaptive hypermedia models with imperfect information support. Research Interests His expertise spans collaborative filtering algorithms, software cost estimation, and the application of fuzzy logic in database systems. Current projects include metadata traceability, privacy-preserving computing, and the analysis of cryptocurrency markets. Sicilia is also active in semantic web technologies, including linked data integration and knowledge graph development. Publications & Collaborations With over 20 years of research output, Sicilia has authored/co-authored 11 indexed publications since 2001, including foundational work on OWA-based collaborative filtering and Choquet integral aggregation. Notable collaborations include projects with researchers like Elena García on usability criteria modeling and Juan J. Cuadrado-Gallego on software estimation models. Awards & Recognition While no specific awards were explicitly mentioned, his contributions to software engineering and data management have been recognized through multiple co-edited conference proceedings and citations in interdisciplinary fields like medical informatics and environmental economics. Contact Email: msicilia@uah.es

Evelyn Muschterمشاهده پروفایل

پژوهشگر

• Neuroscience
• Human Perception
• Multisensory Integration
• +۵ مورد دیگر

Dr. Evelyn Muschter is a postdoctoral researcher at the Chair of Lifespan Developmental Neuroscience at Technische Universität Dresden, part of the Centre for Tactile Internet with Human-in-the-loop (CeTI) . Her work focuses on integrating human perception science with technological advancements in the Tactile Internet, particularly addressing tactile and multisensory systems, attention mechanisms, and lifespan developmental aspects of perception. She employs experimental techniques like psychophysics and neurophysiological measurements to bridge neuroscience and technology. Dr. Muschter holds a PhD in Brain and Cognitive Science from the University of Trento, Italy, and a Master’s in Cognitive Science from the same institution, alongside a Bachelor’s in Psychology from Cleveland State University, USA. Her current research emphasizes human-in-the-loop technology development, including haptic codecs, human-guided machine learning, and evaluation of TaHiL devices. Key projects involve creating large-scale kinematic datasets (e.g., CeTI-Age) to study aging-related changes in human motion and perception. She collaborates across disciplines to address challenges in tactile signal compression, wearable device design, and inclusive technology standards (e.g., IEEE 1918.1.1-2024). Her work underscores the importance of human-centered design for diverse populations. Dr. Muschter values CeTI’s interdisciplinary environment, which enables methodological innovation and cross-field collaboration. Future research priorities include exploring how societal adoption of the Tactile Internet evolves over time and across generations.

• Computer Science
• Human-Computer Interaction
• Assistive Technology
• +۶ مورد دیگر

Dariusz Gutek is an active academic at the Lublin University of Technology, affiliated with the Faculty of Electrical Engineering and Computer Science and the Department of Computer Science. He is involved in teaching, research, and technological development, with a strong focus on digital innovation, accessibility, and cultural preservation. Research Interests: His work spans multiple interdisciplinary domains, including assistive technology for the visually impaired, motion acquisition and analysis, 3D digitalization of cultural heritage, universal design, and educational technology. He leads and contributes to projects that bridge computer science with societal needs, such as preserving dance traditions and creating digital twins for tactile access. Recent Research Trends: Analysis of his recent publications and projects reveals a consistent focus on applying computer science to real-world challenges in education, health, and culture. His work emphasizes motion capture, accessibility, digital preservation, and inclusive design, often leveraging 3D modeling, cloud tools, and sensor systems. Awards & Honors: No scientific awards were mentioned in the provided text. Advising and Grants: While no formal list of students or grants is available, his leadership in multiple funded projects (e.g., T1DCoach, Integrated Development Programme, scientific expeditions) suggests involvement in research mentoring and grant execution. He likely supervises students in computer science and interdisciplinary applications. Labs and Teams: He is associated with the Movement Acquisition and Analysis Laboratory at the Department of Computer Science, where motion capture and digitalization projects are conducted. He also participates in thematic groups such as the Healthy Society initiative, indicating collaborative, multidisciplinary teamwork.

• Quorum Sensing (QS)
• Microbial Ecosystems
• Synthetic Biology
• +۳ مورد دیگر

Wu Shengbo is an Associate Professor at the Zhejiang Institute of Tianjin University in Shaoxing, leading the Analysis and synthesis of microbial ecosystems team. He holds a B.S. (2015), M.S. (2018), and Ph.D. (2022) from Tianjin University, followed by a postdoctoral stint at the School of Chemical Engineering there (2022–2024). His work pioneered the quorum sensing-based communication network (QSCN) , published in Trends in Microbiology (2021). Affiliations: Department of Engineering Science (Oxford address noted), Gut Microbes journal reviewer Key Roles: Team leader, academic backbone researcher, and grant awardee Research focuses on quorum sensing mechanisms in microbial communities, combining AI, synthetic biology, and systems biology to: Decode QS networks in gut microbiota Engineer stable microbial consortia for disease treatment Analyze QS-driven interactions between microbes and human cells Notable achievements include: Developed QSIdb database for QS interference molecules Published in Nature Communications , Metabolic Engineering , and Chemical Engineering Journal Recipient of National Doctoral Scholarship and Tianjin University's Excellence awards Current projects emphasize QS-based modulation of microbial ecosystems for applications in biotechnology and medicine.

Georgios Gkoutosمشاهده پروفایل

استاد

• Bioinformatics
• Ontology Development
• Phenotype Analysis
• +۳ مورد دیگر

Prof. Georgios Gkoutos holds an honorary professorial appointment in the Department of Computer Science at Aberystwyth University. His research focuses on ontology development, computational biology, and integrative approaches to phenomics across species. He contributes to UN Sustainable Development Goals through work in bioinformatics and biodiversity. Key areas include phenotype ontology design, plant genomics (via Planteome database), and biomedical semantics. Notable projects include the 2014-2015 'Common Reference Ontologies in Plant Biology' funded by Oregon State University. Publications span 1999-2018, emphasizing ontology integration (e.g., PhenomeNET), cross-species phenotype analysis, and tools like AberOWL for scalable ontology reasoning. His work bridges computer science with biological applications in agriculture, evolutionary biology, and medical genetics.

• Microbiology
• Infectious Diseases
• Antibiotic Resistance
• +۳ مورد دیگر

Bruno Mariani is a researcher and academic affiliated with the Microbiology and Virology Laboratory at A.O. San Camillo-Forlanini Hospital in Rome, Italy, and holds an academic position at Sapienza University of Rome. His work focuses on clinical microbiology, antibiotic resistance, and infectious diseases, with a strong emphasis on epidemiological surveillance and diagnostic methods. He contributes to national initiatives like the ISS Antimicrobial Resistance Surveillance Project and has developed protocols for infection diagnosis and management. Education: Biology Degree (103/110) from Sapienza University Medical Genetics Specialization (70/70 cum laude) Research Interests: Molecular diagnostics for bacterial/fungal pathogens, antibiotic resistance mechanisms, sepsis diagnosis, and epidemiology of hospital-acquired infections. He has led initiatives like creating an antimicrobial resistance database and implementing molecular tests for carbapenemase-producing bacteria. Teaching: Lecturer for microbiology, hygiene, and clinical lab techniques at Sapienza University across multiple biomedical programs since 2015. Supervises student theses in laboratory medicine and dietetics. Labs/Teams: Leads microbiology research within the San Camillo-Forlanini Hospital lab, collaborating on projects like the Accelerate Pheno Test implementation for rapid antibiotic susceptibility testing.

Maria Parpinelمشاهده پروفایل

دانشیار

• Nutritional Epidemiology
• Public Health
• Noncommunicable Diseases
• +۳ مورد دیگر

Maria Parpinel is an Associate Professor of General and Applied Hygiene at the University of Udine, affiliated with the Department of Medical Area (DAME). She teaches in the Medicine, Health, and Agriculture departments and has been active since 2016. Her research focuses on developing tools for nutritional epidemiology, particularly in studying noncommunicable diseases. She leads projects on food composition databases, sustainable nutrition, and environmental health impacts of dietary choices. Her work integrates public health, environmental science, and clinical research. Key areas include updating the Italian food composition database for epidemiological studies, analyzing dietary patterns in multicultural populations, and assessing the environmental impact of food waste in institutional settings. Her studies often involve large cohorts, such as the Italian PHIME cohort, examining prenatal exposures’ effects on child neurodevelopment. She collaborates on initiatives to improve mountain facilities’ sustainability and promote health literacy through digital platforms. Her research spans from molecular nutrition (e.g., prebiotics and cancer risk) to policy-oriented projects like surveys on sustainable living behaviors. She emphasizes translational research, bridging laboratory findings with public health interventions. No scientific awards are explicitly mentioned, but her contributions highlight a commitment to evidence-based solutions for societal health challenges.

• Health Informatics
• Biomedical Informatics
• Electronic Health Records
• +۶ مورد دیگر

Erik Sundvall is an Adjunct Associate Professor at the Department of Biomedical Engineering (IMT), Linköping University, Sweden. He is affiliated with the Division of Biomedical Engineering (MT), a national center for research and innovation in biomedical engineering. His work is primarily focused on health informatics, especially electronic health records and openEHR standards. Research Interests: Erik Sundvall's research lies at the intersection of healthcare and information technology. He investigates methods for improving the accessibility, reliability, and performance of electronic health record systems. His work emphasizes openEHR-based modeling, querying large-scale clinical data using distributed systems like Hadoop, and developing benchmark datasets such as ORBDA to evaluate EHR server performance. These efforts contribute to safer, more interoperable, and scalable digital health infrastructures. The recent publications reflect a consistent focus on health informatics, particularly in advancing openEHR adoption, optimizing query mechanisms, and advocating for strategic investment in e-health at national and international levels. His collaborative work spans technical innovation and policy-oriented discourse. Scientific Contributions: Developed ORBDA, a benchmark dataset for evaluating EHR server performance. Explored Dewey-encoded querying of openEHR models using Hadoop for scalability. Contributed to educational strategies for learning openEHR standards. Advocated for international collaboration and national investment in e-health. Advising and Grants: While no formal students or grants are listed in the provided materials, his active research output and leadership in publications suggest involvement in research projects and potential supervision within the biomedical engineering domain at Linköping University. Further details on funding sources or mentored students are not available in the current text. Labs and Teams: Erik Sundvall is part of the Division of Biomedical Engineering (MT) at Linköping University, which functions as a national hub for research, PhD training, and innovation in biomedical engineering. His work likely involves collaboration within interdisciplinary teams focused on health informatics and digital healthcare solutions.

• Virology
• Evolution of host-pathogen interactions
• Oncogenic DNA viruses
• +۳ مورد دیگر

Dr. Koenraad M Van Doorslaer is an Assistant Professor at the University of Arizona's School of Animal and Comparative Biomedical Sciences since 2016. He holds a PhD in Biomedical Sciences from Albert Einstein College of Medicine and completed postdoctoral work at NIH's National Institute of Allergy and Infectious Disease. PhD: Evolution of papillomavirus carcinogenicity (Albert Einstein College of Medicine) MS: Biomedical Sciences (Albert Einstein College of Medicine) BS: Biomedical Sciences (University of Leuven, Belgium) His research focuses on the evolutionary mechanisms behind papillomavirus oncogenicity, combining molecular virology with computational analysis. Key projects examine: Differential pathogenicity in papillomavirus genera Immune evasion through nucleotide composition changes HPV genome integration patterns in cancers Host restriction factors like TLR9 Evolutionary constraints on viral core genes Development of bioinformatic tools (PaVE 2.0) Recent publications analyze: HPV integration signatures in cervical/vulvar cancers TLR9-virus coevolution in bats Evolutionary taxonomy updates for Papillomaviridae 3D tissue models for virus-host interaction studies Non-mammalian papillomavirus diversity (fish, plants) Role of PRMT1 in HPV lifecycle regulation Scientific recognition includes: 2022 Excellence in Postdoctoral Mentoring Award 2021-2020 award nominations 2017 DNA Tumor Virus Meeting oral presentation award Teaching contributions span multiple courses in: Medical Molecular Virology Principles of Molecular Mechanisms Research conferences and dissertation supervision 3D tissue culture methodology

• Medical Sciences
• Medical Chemistry
• Molecular Structure
• +۱۷ مورد دیگر

Małgorzata Sztanke is an Associate Professor at the Department of Medical Chemistry, Faculty of Medical Sciences, Medical University of Lublin, where she conducts extensive research at the intersection of medical and chemical sciences. Her work is deeply rooted in experimental biochemistry and pharmacology, utilizing both in vitro and in vivo models. Her research interests span a wide range of topics including drug design, molecular structure analysis, organic and physical chemistry, pyrolysis processes, chromatographic methods, and the biological effects of chemical compounds. She investigates cellular responses in human and animal models (including mice and various cell lines), with particular attention to brain tissue, oxygen dynamics, and energy metabolism. Environmental factors such as water quality and antioxidant agents like ascorbic acid are also central to her studies. The thematic trends in her extensive publication record—though individual titles are not listed—indicate sustained focus on the chemical basis of biological activity, especially in pharmacologically active substances. Her work integrates general and organic chemistry with biomedical applications, suggesting strong interdisciplinary collaboration. She has supervised at least one doctoral thesis, indicating her role in academic mentorship and graduate training. While no specific grants are mentioned, her high publication count (396) and 16 patents suggest significant research productivity and likely involvement in funded projects. Dr. Sztanke is affiliated with key scientific databases including ORCID (0000-0003-1576-097X), Scopus, Europe PMC, and Crossref, and her work is tracked through the institutional repository of the Medical University of Lublin. She contributes to multi-center research efforts and maintains an active scientific profile.

Susan Thibeaultمشاهده پروفایل

استاد

• Vocal Fold Mucosa Biology
• Regenerative Medicine
• Immunology
• +۳ مورد دیگر

Susan Thibeault is a Professor and Vice Chair of Research in the Department of Surgery at the University of Wisconsin-Madison's School of Medicine and Public Health, with primary affiliation in Biomedical Engineering and additional appointments spanning Surgery and Medicine. Based at the Wisconsin Institutes for Medical Research (WIMR), she leads critical research initiatives in voice and swallowing science. Her expertise centers on vocal fold mucosa biology, integrating regenerative medicine, immunology, and developmental biology to address voice disorders. As Principal Investigator of the University of Wisconsin–Madison Voice and Swallow Outcomes Database, she manages comprehensive health-related data from over 5,000 patients, enabling longitudinal health services research in communication disorders. This NIDCD-funded work bridges laboratory science with clinical outcomes. Key research domains include: Vocal Fold Mucosa Biology Regenerative Medicine Immunology Developmental Biology Voice and Swallowing Disorders Health Services Research Thibeault's research demonstrates strong translational focus, connecting molecular mechanisms of vocal fold function to patient-centered outcomes through large-scale database analysis. Her leadership as Vice Chair of Research drives surgical department innovation while advancing understanding of mucosal healing and tissue engineering applications. Though specific scientific awards aren't documented in the source material, her sustained NIDCD funding signifies peer recognition in communication sciences. Her administrative role encompasses research oversight across surgical specialties, fostering multidisciplinary collaboration. The Voice and Swallow Outcomes Database project coordinates clinicians, researchers, and data scientists to optimize treatment protocols for voice and swallowing disorders, establishing a vital resource for evidence-based otolaryngology practice.

Benjamin Kingمشاهده پروفایل

دانشیار

• Genomics
• Computational Biology
• Molecular Biology
• +۷ مورد دیگر

Benjamin King is an Associate Professor at the University of Maine within the Graduate School of Biomedical Science and Engineering , specializing in Bioinformatics. His research focuses on understanding gene regulatory networks, stress responses, and the role of non-coding RNAs in tissue regeneration and disease. Education : Ph.D. (University of Maine, 2016), M.S. (Boston University, 1996), B.S. (Boston University, 1994) King employs genomic and computational approaches to study stress response mechanisms in diverse organisms, such as zebrafish, skate, and mice. His work highlights the importance of non-coding RNAs, including microRNAs and long non-coding RNAs, in health and disease. Recent projects include comparative transcriptomic analyses of regeneration circuits and hydrogen peroxide signaling networks. His publications span fields like Regenerative Medicine , Evolutionary Biology , and Computational Toxicology , often involving collaborations on databases such as RegenDbase and Comparative Toxicogenomics Database. He has mentored students including Michael Babcock and Kodey Silknitter. Contact: benjamin.l.king@maine.edu | Office: Ferland EEDC Bldg, University of Maine, Orono, Maine

Kris Hardyمشاهده پروفایل

پژوهشگر

• Archaeological Sciences
• Ceramic Analysis
• Data Visualization
• +۳ مورد دیگر

Kris Hardy is a researcher at the Australian National University (ANU), affiliated with the College of Arts and Social Sciences and the Division of Biomedical Science & Biochemistry. With a PhD in Molecular Immunology and Masters degrees in Computer Science and Archaeological and Evolutionary Sciences, Hardy bridges interdisciplinary expertise in biomedical research, data science, and Pacific archaeology. PhD in Immunology, University of Sydney (2000) Master of Science (Information Technology), Australian National University (2005) Master of Archaeology and Evolutionary Sciences, Australian National University (2021) Her research focuses on: Integrating databases and open linked data for Pacific ceramic technology studies Developing visualization tools for petrography, p-XRF, LA-ICPMS, and micro-CT data Creating Virtual Reality platforms to communicate archaeological findings Recent publications span ceramic analysis in the Pacific (2023–2025), alongside molecular biology work on transcription factors like RUNX1 (2024). Despite her biomedical divisional affiliation, Hardy's active research centers on archaeological data integration and technological innovation.

Jin-Dong Kimمشاهده پروفایل

دانشیار

• Natural Language Processing (NLP)
• Bioinformatics
• Data Mining
• +۳ مورد دیگر

Jin-Dong Kim is a Project Associate Professor at the Database Center for Life Science (DBCLS) , part of the Research Organization of Information and Systems (ROIS) . His work bridges Natural Language Processing and Bioinformatics through innovative projects like PubAnnotation and LODQA. Research focus: Biomedical text mining and knowledge base construction Key projects: OntoFinder, OntoCloud, and DialoQ systems Leadership roles: Convener of ISO TC37 SC4 WG1 on language resources Email: jdkim@dbcls.rois.ac.jp Kim's research interests span NLP , Bioinformatics , and Semantic Web technologies. His recent publications emphasize semantic interoperability , biomedical event extraction , and ontology-driven data integration . Community contributions include: Area Chair, ACL 2023 Resources and Evaluation track Chair, COLING 2024 Ethics Committee Editorial Board member for multiple journals including Journal of Language Resources and Evaluation His work has advanced question-answering systems , annotation frameworks , and biomedical knowledge graph construction through collaborative initiatives like the BioHackathon series.

John Busbyمشاهده پروفایل

مدرس ارشد

• Severe Asthma Epidemiology
• Healthcare Disparities
• Medical Statistics
• +۳ مورد دیگر

Dr. John Busby is a Senior Lecturer in Medical Statistics within the Centre for Public Health at Queen's University Belfast's School of Medicine, Dentistry and Biomedical Sciences. He serves as the lead statistician for the UK Severe Asthma Registry, the largest registry of its kind worldwide, and contributes to international collaborations including the International Severe Asthma Registry (ISAR). His research focuses on severe asthma epidemiology with particular emphasis on: Exploring ethnic, socioeconomic and gender-based disparities in UK severe asthma care and outcomes Understanding how treatment can be optimized in severe asthma Geographic variations in healthcare processes and outcomes Social determinants of disease Dr. Busby's recent work has centered on biologic therapies for severe asthma, examining treatment effectiveness, mechanisms of failure, clinical remission, and the impact of factors like obesity on treatment response. His research utilizes advanced statistical methodologies to analyze large datasets from registries including the UK Severe Asthma Registry and the Optimum Patient Care Research Database (OPCRD). With 101 research outputs to date and growing publication activity (16 in 2023, 16 in 2024, and 14 in 2025), his work has been published in high-impact journals including the Journal of Allergy and Clinical Immunology, Clinical & Experimental Allergy, and The Lancet Respiratory Medicine, and has received attention from news outlets, academic bloggers, and social media platforms. Dr. Busby is actively involved in mentoring and is currently accepting PhD students with statistical or clinical backgrounds interested in pursuing research in his areas of expertise.