جست‌وجوی استاد و پژوهشگر

Mehdi Mobliمشاهده پروفایل

استاد

• NMR Spectroscopy
• Structural Biology
• Biomolecular Modeling
• +۲ مورد دیگر

Mehdi Mobli is Professor and Group Leader at the Australian Institute for Bioengineering and Nanotechnology, University of Queensland. His research focuses on biomolecular structure and dynamics using NMR spectroscopy, with applications in peptide engineering and ion channel modulation. Key research areas: Advanced NMR techniques for protein structure determination Peptide toxin engineering for ion channel modulation Computational methods for biomolecular design Structural basis of venom peptide function Development of cyclic peptide therapeutics Honors include the ASBMB Merck Medal, Tregear Award, Sir Paul Callaghan Medal, and ARC Future Fellowship. Research has yielded novel peptide therapeutics and computational tools for structural biology.

David Schneiderمشاهده پروفایل

استادیار

• Surgical Decision-Making
• Biomedical Informatics
• Machine Learning in Healthcare
• +۳ مورد دیگر

Dr. David Schneider is an Assistant Professor in the Department of Surgery (Endocrine Division) at the University of Wisconsin School of Medicine and Public Health. His research focuses on improving clinical decision-making through informatics tools, including machine learning and natural language processing applied to surgical outcomes and endocrine care. He leads the Dr. Schneider’s Lab , which collaborates with the Wisconsin Surgical Outcomes Program to optimize surgical care for endocrine conditions like hyperparathyroidism and thyroid cancer. Education: MD, MS (degree details not explicitly stated in provided texts, but inferred from lab staff listing). His work emphasizes data-driven approaches to address challenges such as delayed diagnosis of hyperparathyroidism, post-thyroidectomy hormone management, and disparities in healthcare access. Research interests include: Machine learning for predictive analytics in surgery NLP applications for clinical data extraction Quality improvement in endocrine surgery Healthcare equity analysis Grants and Awards: AAES Paul LoGerfo Award (2018–2019) ICTR Novel Methods Pilot Award (2019–2021) Labs/Teams: Principal Investigator of the Schneider Lab, which develops tools like the Thyroid Hormone Dosing App to aid clinical decisions. Collaborates with multidisciplinary teams on surgical quality improvement initiatives.

Heiko Tapkenمشاهده پروفایل

استاد

• Computer Science
• Agricultural Technology
• Data Science
• +۳ مورد دیگر

Prof. Dr.-Ing. Heiko Tapken is a Professor at the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences. His research focuses on databases, software development, Industry 4.0 applications in agriculture, and big data analytics. He leads projects like Agri-Gaia and OPeRAte, aiming to enhance agricultural processes through IoT and resilient process modeling. Research interests include computer vision for livestock monitoring, metadata management in agricultural data ecosystems, and dynamic optimization of cooperative farming processes. He actively contributes to committees such as Agrotech Valley Forum and VDI committees on Big Data and Industry 4.0 in agriculture. His work bridges computer science and agriculture, with notable contributions in AI-driven animal re-identification, hyperspectral image processing, and resilient process execution frameworks. Recent research trends emphasize cross-domain adaptation of AI models and farm automation systems.

Eyad Haj Saidمشاهده پروفایل

دانشیار

• Biometrics
• Digital Image Processing
• Medical Imaging
• +۶ مورد دیگر

Eyad Haj Said is an Associate Professor of Mathematics and Computer Science at Beloit College, serving as Co-Chair of the Math and Computer Science department. He holds a PhD in Computer Engineering from West Virginia University, a Master's from Stevens Institute of Technology, and a Bachelor's in Electrical Engineering from Damascus University. His research focuses on biometrics, medical imaging, climate change prediction, and machine learning, with notable work in developing an Automated Dental Identification System (ADIS) and climate modeling using satellite data. Education: Bachelor of Engineering in Electrical Engineering, Damascus University Master of Engineering in Computer Engineering, Stevens Institute of Technology PhD in Computer Engineering, West Virginia University Research Interests: Biometrics, digital image processing, medical imaging, data mining, climate change, and satellite data fusion. Current Projects: Deep learning/federated learning for disease classification, machine learning for climate pattern analysis, and transfer learning in IoT applications. He teaches courses in computer science, data science, and programming, emphasizing project-based learning. His work integrates interdisciplinary approaches to solve real-world challenges in forensics, environmental science, and healthcare.

Maya E O'Neilمشاهده پروفایل

استاد

• Post-traumatic stress disorder (PTSD)
• Traumatic Brain Injury (TBI)
• Neuropsychology
• +۴ مورد دیگر

Dr. Maya E O'Neil is a Professor at Oregon Health & Science University (OHSU) in the Departments of Psychiatry and Medical Informatics & Clinical Epidemiology. As Core Faculty in OHSU’s Clinical Psychology doctoral program, she combines clinical practice with research in PTSD, TBI, and neuropsychology. She holds a VA clinician role, specializing in rural telemental health, cognitive rehabilitation, and evidence-based therapies for Veterans. Her research focuses on PTSD treatments, TBI outcomes, and evidence synthesis methodologies, supported by grants like the VA Rehabilitation Research & Development Career Development Award (CDA). Her work includes leading randomized trials like Compensatory Cognitive Training for PTSD and developing the PTSD-Repository for the National Center for PTSD. She collaborates with OHSU’s Advanced Imaging Research Center on fMRI protocols for TBI/PTSD neurophysiology. Dr. O'Neil’s research spans clinical trials, systematic reviews, and data harmonization projects, including contributions to the Chronic Effects of Neurotrauma Consortium (CENC/LIMBIC). Key Awards: VA CDA (2020-2025), AHRQ K Fellowship Grants: VA Rehabilitation R&D, DoD-funded CENC/LIMBIC studies Labs/Teams: Collaborates with Advanced Imaging Research Center, VA Evidence-based Synthesis Program Dr. O'Neil mentors psychology trainees in telemental health, PTSD, and clinical research. Her methodological expertise includes structural equation modeling and validation of clinical assessment tools.

Reid F. Thompsonمشاهده پروفایل

دانشیار

• Immunotherapy
• Genomics
• Clinical Data Science
• +۳ مورد دیگر

Reid F. Thompson, M.D., Ph.D., is an Associate Professor in the Department of Radiation Medicine and Biomedical Engineering at Oregon Health & Science University (OHSU) and a member of the Knight Cancer Institute. He joined OHSU and the Portland Veterans Affairs Medical Center in 2016 after completing medical and doctoral training at Albert Einstein College of Medicine and residency at the University of Pennsylvania. His work integrates clinical oncology with data science, focusing on precision medicine, immunotherapy, and AI-driven medical imaging. Dr. Thompson’s research also addresses healthcare equity and big data challenges in radiation therapy. Education and Training: M.D. and Ph.D. in Biomedical Sciences (2011), Albert Einstein College of Medicine Residency in Radiation Oncology (2016), University of Pennsylvania Additional degrees in Genetics and Biophysical Chemistry Research Interests: Dr. Thompson’s multidisciplinary research spans immunotherapy optimization, genomic profiling for personalized cancer care, and leveraging AI to analyze radiotherapy outcomes. He leads initiatives on proton beam therapy, clinical data harmonization, and biomarker development for early cancer detection. His work often intersects with veterans’ health, focusing on treatment safety and survivorship. Key Contributions: His recent studies include evaluating pneumonitis risks in lung cancer therapy, developing tools like recountmethylation for epigenetic analysis, and assessing steroid use in managing immune checkpoint inhibitor side effects. He co-authored the first pan-Canadian consensus on proton therapy access and pioneered frameworks for radiotherapy data standardization. Labs and Collaborations: As part of the Knight Cancer Institute, Dr. Thompson collaborates across disciplines to translate computational methods into clinical practice. His lab actively contributes to open-source tools and large-scale oncology databases, emphasizing reproducibility and accessibility in precision medicine.

Lauren Fisherمشاهده پروفایل

استاد

• Clinical Anatomy
• Medical Education Pedagogy
• Foot and Ankle Joint Anatomy
• +۳ مورد دیگر

Lauren Fisher is a Professor of Anatomy and Programme Lead for the MBChB Graduate Entry Medicine Programme at Chester Medical School, University of Chester. She holds academic leadership roles in curriculum design and anatomy teaching facilities. Her research focuses on clinical anatomy of the foot/ankle joint and innovations in medical education pedagogy. Education: PhD in Human Anatomy and Cell Biology (University of Liverpool, 2006-2010) BSc in Anatomy and Human Biology (University of Liverpool, 2003-2006) Research: Combines clinical anatomy studies (e.g., spring ligament, clitoral anatomy) with pedagogical innovations using 3D virtual dissection tools and photogrammetric models. Collaborates with Aintree University Hospital NHS Trust on clinical applications. Teaching: Leads anatomy education across MBChB and Physician Associate programmes. Develops virtual learning resources and anatomical teaching facilities utilizing cadaveric plastinates, 3D software, and virtual dissection tools. Key Contributions: Published 12+ peer-reviewed articles since 2018, advancing understanding of foot/ankle anatomy and medical education practices. Presented findings internationally.

Ali Alhajمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Digital Forensics
• Intrusion Detection
• +۵ مورد دیگر

Ali Alhaj is a Senior Lecturer in Cyber Security and Course Leader for the BSc (Hons) Computing program at the University of Suffolk's School of Technology, Business and Arts. He joined the university in July 2020 and previously taught at the University of Portsmouth. He holds an MSc in Computer Forensics (University of South Wales, 2015) and a Bachelor's in Computer Science (2012). His teaching focuses on Cyber Security, including modules like Cyber-Physical Security, Cyber Detection, and Forensic Investigation. Research interests span digital forensics, intrusion detection, and software-defined networks (SDN). He is a Fellow of the Higher Education Academy (FHEA) and member of BCS, IEEE, and the Software Defined Networks Community. Externally, he serves as an Independent Assessor for Network Engineering and Cyber Security apprenticeship programs at multiple institutions. He supervised partnership degrees at Rushmore Business School and Unicaf between 2022–2024. His publications address Arabic text classification, SDN fault tolerance, database security policies, and game console forensics.

Shyh Wei Tengمشاهده پروفایل

دانشیار

• Image Processing
• Machine Learning
• Bioinformatics
• +۳ مورد دیگر

Assoc Prof Shyh Wei Teng is an Associate Professor and Deputy Dean at Federation University Australia's Institute of Innovation, Science and Sustainability (IISS). He holds a Bachelor of Computing (First-class Honours) and PhD in Information Technology from Monash University (2004), and a Graduate Certificate in Higher Education (2008). His research focuses on image processing, machine learning, bioinformatics, and computer vision, with notable contributions to LiDAR-based building extraction, SIFT algorithm optimization, and multimodal image registration. He has secured significant grants, including an Australian Research Council (ARC) Discovery Project (2013). Prof Teng has supervised numerous PhD and master’s students, contributing to advancements in image retrieval, clustering algorithms, and biomedical applications. His work has been published in top-tier journals like Pattern Recognition and Neurocomputing , and he actively reviews for IEEE conferences. He taught courses in database systems, project management, and systems analysis, receiving teaching and community engagement nominations. Research interests span computational techniques for medical imaging, contour-based corner detection, and machine learning applications in remote sensing. His labs and collaborations include projects on augmented reality for education and ecological data analysis.

• Burn surgery
• Surgical critical care
• Acute kidney injury after burn
• +۵ مورد دیگر

Audra Clark, MD, is Assistant Professor of Surgery at the University of Texas Southwestern Medical Center in Dallas, where she specialises in burn surgery and surgical critical care. She completed medical school (2013), general-surgery residency (2020) and a surgical-critical-care fellowship (2021) at UT Southwestern and has remained on faculty, contributing to more than 80 peer-reviewed publications since 2016. Education & Training: MD – UT Southwestern Medical School, 2013 Post-doctoral research fellowship – UT Southwestern Medical Center, 2018 Residency in General Surgery – UT Southwestern Medical Center, 2020 Fellowship in Surgical Critical Care – UT Southwestern Medical Center, 2021 Research Focus: Dr Clark’s work spans burn resuscitation physiology, acute kidney injury after burn, operating-room efficiency, laser therapy for hypertrophic burn scar, and surgical resident education. She employs large prospective cohorts, national burn databases and translational models to investigate resuscitation endpoints, metabolic derangements and quality-improvement initiatives in burn and trauma patients. Publication Trends: Her recent output (2022-2025) emphasises advanced imaging for burn-depth assessment (multispectral short-wave infrared), ethnicity-neutral resuscitation protocols, post-burn voice outcomes, and multi-national peri-operative risk studies, reflecting a blend of technological innovation and health-services research. Grants & Clinical Programs: While specific grant numbers are not disclosed, she is the principal investigator on several quality-improvement projects within the Parkland Burn Center and participates in multicenter consortiums such as the Burn Model System and P.A.L.LI.A.T.E. geriatric-trauma collaboration. Advising & Teams: Dr Clark mentors general-surgery residents and critical-care fellows in hypothesis-driven burn research and serves on thesis committees for trainees utilising the UT Southwestern surgical database repository.

Emanuela Marascoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Computer Vision
• Hyperspectral Imaging
• +۳ مورد دیگر

Emanuela Marasco is an Assistant Professor at George Mason University within the College of Engineering and Computing , affiliated with the Information Sciences and Technology (IST) Department , Center for Secure Information Systems (CSIS) , and Institute for Digital Innovation (IDIA) . She leads the CySBeR Lab and holds a tenure-track position. PhD: Computer and Automation Engineering, University of Naples Federico II (Italy), 2010 BSc/MSc: Computer Engineering, University of Naples Federico II (Italy), 2006 Her research focuses on Artificial Intelligence (AI) with applications in Computer Vision , Hyperspectral Imaging , Biometrics , and Cybersecurity . Key themes include: Designing AI algorithms for identity verification using pattern recognition and deep learning . Developing multi-factor authentication systems, including a patented biometric-based MFA technology . Advancing hyperspectral imaging for biochemical analysis in security contexts. Her recent publications explore fingerprint anti-spoofing , demographic bias mitigation , and AI integration in virtual reality and military decision-making . She has received the Mason Innovation Award (2023, 2025) and IDIA P3 Faculty Fellowship (2023) . NSF-funded projects: "Sweaty Digits" ($200,000, 2023-2025) and "Hyperspectral Sweat Metabolite Detection" (2020). She has previously held postdoctoral positions at the University of North Carolina at Charlotte and West Virginia University , contributing to pattern recognition and biometric interoperability research.

Jesus Joaquin Garcia Molinaمشاهده پروفایل

استاد

• Computer Science
• Database Systems
• Model-Driven Engineering
• +۵ مورد دیگر

Jesus Joaquin Garcia Molina is a Professor in the Department of Computer Science and Systems Engineering at the Universidad de Murcia's Faculty of Informatics. He holds a Doctorate from the same university with a thesis on the conformational and dynamic study of flexible macromolecules (1988). His research focuses on database systems, model-driven engineering, NoSQL technologies, and software modernization. He is actively involved in projects related to schema evolution, user interface generation from wireframes, and AI applications in healthcare and education. Key research areas include database schema management, cross-platform data migration, and the development of unified query languages like Skiql. He has contributed to frameworks such as Guizmo for automated UI generation and tools for reverse-engineering legacy systems. His work bridges theoretical computer science with practical applications in software development and education technology. Recent publications emphasize NoSQL schema evolution, AI-driven radiology support systems, and the integration of interactive educational content in social robots. His interdisciplinary approach spans computer science, medicine, and pedagogy, with notable contributions to both academic and applied domains.

Juan Pedro Mellinas Canovasمشاهده پروفایل

استاد

• Tourism Management
• Online Reviews Analysis
• Social Media in Tourism
• +۳ مورد دیگر

Juan Pedro Mellinas Canovas is a Professor of Marketing at the University of Murcia, affiliated with the Faculty of Economics and Business and the Department of Marketing and Market Research. He holds a Ph.D. from the Universidad Politécnica de Cartagena (2015), focusing on online hotel reputation measurement systems. His research group, Consumer Behavior, explores topics such as tourist satisfaction, online review dynamics, and the impact of social media in the hospitality sector. Research Interests: Mellinas Canovas specializes in analyzing online reviews and their implications for tourism and hospitality industries. Key areas include platform comparisons (e.g., Booking.com vs. TripAdvisor), hotel reputation management, post-COVID tourist dissatisfaction, and the role of social media in destination marketing. He also examines issues like review incentivization, halo effects in ratings, and accessibility in inclusive tourism. Publications Trends: His work consistently addresses online travel platforms’ influence, rating system biases, and traveler behavior. Recent studies highlight themes like Booking.com’s scoring system impacts, cultural differences in tourist complaints, and the effects of pandemic-related disruptions on theme park experiences. Earlier research delves into regional tourism (e.g., Murcia’s hotel social media strategies) and inclusive accessibility standards. Awards: No scientific awards explicitly listed in available texts. Advising & Grants: Supervised doctoral research on hotel reputation systems. No grant details provided in current data. Maintains a personal website at http://www.mellinas.es for further research access. Labs/Teams: Active in the Consumer Behavior research group, focusing on empirical analyses of tourism markets and digital consumer interactions.

António Coelhoمشاهده پروفایل

دانشیار

• Computer Graphics
• Virtual Reality
• Serious Games
• +۷ مورد دیگر

António Coelho is an Associate Professor with Habilitation at the University of Porto's Department of Informatics Engineering and a senior researcher at INESC TEC. He coordinates the Computer Graphics and Virtual Environments area within the HUMANISE research group and leads the Doctoral Program in Digital Media. His roles include academic leadership in the European University Alliance for Global Health (EUGLOH). Coelho has been at INESC TEC since 1995 as an Area Manager, focusing on interdisciplinary research projects ranging from EU-funded initiatives to industry collaborations. His teaching spans Computer Graphics, Programming, and Digital Games, reflecting his expertise in Virtual Reality, Serious Games, and Geospatial Systems. Key research interests include procedural modeling, games-based learning, and location-based systems. Over 20 supervised theses demonstrate his mentorship in topics like immersive learning, AR solutions for heritage, and medical applications of serious games. Coelho’s recent work integrates AR/VR into education and healthcare, such as Histopoly (histology teaching) and Spot (melanoma prevention). Collaborative projects like the FRONTOWNS medieval town reconstruction highlight his multidisciplinary approach. He actively contributes to advancing digital media through both academic leadership and cutting-edge research in immersive technologies.

Catherine Priceمشاهده پروفایل

استاد

• Human Neuroimaging
• Language
• Reading
• +۳ مورد دیگر

Catherine Price is a Professor of Cognitive Neuroscience and Director of the Wellcome Centre for Human Neuroimaging at University College London (UCL), part of the Institute of Neurology. Her research focuses on human neuroimaging, language processing, reading, bilingualism, aphasia, and neuroplasticity. She holds a PhD funded by the Minnie Mitchel Goodall Studentship from London University. Price has led major grants including Wellcome Trust awards and strategic funding for neuroimaging research. Her awards include the Royal Society Fellowship (2020), the Suffrage Science Award (2018), and the Ipsen Neuropsychology Prize (2012). She has supervised 15 completed PhD students and 4 ongoing, along with 95 MSc research projects. Price chairs committees in neuroimaging and language research, and serves on scientific advisory boards for institutions like the Max Planck Institute for Human Cognitive and Brain Sciences. Her work bridges cognitive neuroscience and clinical neurology, emphasizing stroke recovery and language rehabilitation. Key contributions include developing methods to predict language outcomes post-stroke using neuroimaging and advancing understanding of right hemisphere compensatory mechanisms.