جست‌وجوی استاد و پژوهشگر

• Biosecurity
• Synthetic Biology
• Conservation Biology
• +۷ مورد دیگر

Stephen Turner is an Associate Professor of Data Science and Assistant Dean for Research at the University of Virginia School of Data Science . His work bridges genomics, data science, and national security , focusing on biosecurity, synthetic biology, conservation, and bioinformatics applications in human health . Previously, he was a faculty member in the UVA School of Medicine’s Department of Public Health Sciences (2011–2019) and directed the UVA Bioinformatics Core . Ph.D., Human Genetics, Vanderbilt University M.S., Applied Statistics, Vanderbilt University B.S., Biology, James Madison University Turner’s research spans computational approaches to biosecurity, biodiversity conservation, and human health . Recent publications highlight tools like the qqman and kgp R packages, PLANES for epidemiological modeling, and biorecap for bioRxiv preprint summarization. His work integrates large-scale sequencing, genome editing, and machine learning in conservation biotechnology and public health forecasting. Scientific contributions include applications in infectious disease forecasting , forensic genomics , and maternal-fetal biology . He has mentored interdisciplinary students and collaborated on NIH-funded research , while advising biotech startups at the intersection of academia, industry, government, and policy .

Jie Liمشاهده پروفایل

استاد مدعو

• Human-Computer Interaction (HCI)
• User Experience (UX) Design
• Extended Reality (XR)
• +۷ مورد دیگر

Dr. Jie Li is a dual-career academic and creative professional with a PhD in Industrial Design Engineering from Delft University of Technology. As an HCI/UX researcher in industry and Adjunct Professor at multiple institutions, she bridges academia and practice through work on Extended Reality (XR) , Human-AI interactions , and user experience evaluation . Her ACM Interactions column 'Bits to Bites' explores interdisciplinary research methodologies. Education: MSc in Industrial Design Engineering, Delft University of Technology PhD in Industrial Design Engineering, Delft University of Technology (2019) Her research spans social VR platforms , AI-augmented cognition , and privacy-preserving emotion detection , with recent publications analyzing LLM-assisted game design , harassment detection in VR , and XR's impact on remote collaboration . She has received Best Demo Awards (2020, 2022) and the ACM Best Paper Award (2018). Notable trends in her work include emerging immersive technologies (XR, 6DoF displays), human-AI collaboration frameworks , and cross-domain applications from medical VR clinics to cultural heritage experiences . Her advocacy for synthetic UX research and asynchronous co-creation tools reflects industry-academia hybrid innovation. Scientific Awards: Best Demo Award (2020, ACM TVX/IMX 2020) Best Demo Award (2022, ACM Multimedia) ACM Best Paper Award (2018, ACM TVX) While maintaining active roles in CHI conference committees and guest lecturing , Jie also operates a Delft-based creative cake design business , demonstrating her commitment to interdisciplinary exploration and 'slash career' balance between technical research and artistic practice.

Pekka Vallittuمشاهده پروفایل

استاد

• Biomaterials in Dentistry
• Dental Technology
• Prosthetic Dentistry
• +۱۱ مورد دیگر

Pekka Vallittu is a Professor and Chair of Biomaterials Science at the Institute of Dentistry, Faculty of Medicine, University of Turku, Finland. He holds adjunct and visiting professorships at the University of Hong Kong and King Saud University, respectively, and was awarded an honorary Doctor of Odontology from the University of Eastern Finland. With 742 peer-reviewed publications and an h-index of 111, he is a leading figure in dental biomaterials research. Current Roles: Full Professor (University of Turku, 2004–present), Director of Turku Clinical Biomaterials Centre Academic Honors: Distinguished Scientist Award (IADR), Acta Odontologica Scandinavica Big Prize His research focuses on fiber-reinforced composites (FRC), bioceramics, bioactive glasses, and nanocellulose for dental and orthopedic implants. Recent work includes sustainable 3D printing technologies and hydrating compounds for medical applications. Collaborations span oral surgery, otolaryngology, and materials chemistry. The 15 most recent articles (2025) examine biomaterial adhesion, mechanical properties, and clinical applications of fiber composites, bioactive glasses, and ceramic implants. Keywords span Biomaterials , Dentistry , 3D Printing , and Regenerative Medicine , with sub-fields like Bond Strength , Hydroxyapatite Coatings , and Ion Release . Scientific Awards: Distinguished Scientist Award (IADR), Acta Odontologica Scandinavica Big Prize, Bensow-Äyräpää Prize, George Winter Award Patents: Over 150 international patents from 45+ inventions Vallittu’s work bridges academic research and clinical translation through spin-off companies, regulatory frameworks (MDR-EU, FDA), and interdisciplinary teams in cell biology and materials science. He serves on the Board of the University of Turku (2018–present) and is a Fellow of the Academy of Dental Materials.

Leonid Goubergritsمشاهده پروفایل

استاد

• Cardiovascular Modeling
• Computational Fluid Dynamics (CFD) in Medicine
• Hemodynamics
• +۱۰ مورد دیگر

Leonid Goubergrits is a Professor of Cardiovascular Modeling and Simulation at the Einstein Center Digital Future and Charité – Universitätsmedizin Berlin . With a background in applied mathematics and physics from the Moscow Institute of Physics and Technology, he has dedicated his career to applying computational fluid dynamics (CFD) to cardiovascular medicine since immigrating to Germany in 1995. His work bridges fundamental research and clinical applications, aiming to integrate numerical models into everyday medical practice to enhance diagnostics and reduce invasiveness. Doctorate at Technische Universität Berlin (2000) Habilitation at Technische Universität Berlin (2016) His research spans blood flow modeling in coronary vessels, cerebral aneurysms, heart valves, and the aorta, alongside artificial organ development and blood damage modeling . He leads a research group at Charité and the German Heart Center Berlin, focusing on patient-specific simulations and their translation to clinical settings. Recent publications highlight his work on deep learning integration for hemodynamic analysis, 4D Flow MRI validation , and medical device optimization using computational models. His team’s research includes virtual therapy planning for aortic valve replacements, hemolysis modeling , and pulmonary artery pressure sensors . Leonid actively contributes to education, redesigning TU Berlin’s Fluid Mechanics in Medicine curriculum and fostering interdisciplinary collaboration between engineers, physicians, and computer scientists. His vision emphasizes the digital transformation of medicine through computational modeling and simulation.

Michael Oberstمشاهده پروفایل

استادیار

• Causal inference
• Machine learning
• Healthcare decision-making
• +۳ مورد دیگر

Michael Oberst is an Assistant Professor of Computer Science at Johns Hopkins University's Whiting School of Engineering, affiliated with the Malone Center for Engineering in Healthcare and the Data Science and AI Institute. His research focuses on developing reliable machine learning systems for healthcare decision-making, emphasizing causal inference and robust performance across diverse clinical settings. Key research themes include: Ensuring ML system reliability comparable to FDA-approved medical tools Causal reasoning in observational healthcare data Robustness to dataset shifts across hospitals Algorithmic fairness under unobserved confounding Medical adaptation of large language models Recent publications (2025-2024) demonstrate trends in prediction-powered inference, clinical validation frameworks, and robustness evaluation methods. His work appears in top ML venues (NeurIPS, ICML, UAI, EMNLP) and translational medicine journals. Michael holds a BS in Statistics from Harvard University and a PhD in Computer Science from MIT, with postdoctoral training at Carnegie Mellon University's Machine Learning Department. His group actively seeks PhD students and postdocs for developing trustworthy AI solutions in healthcare.

Zhenke Wuمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Precision Medicine
• Latent Variable Models
• +۵ مورد دیگر

Zhenke Wu is an Associate Professor (with tenure) in the Department of Biostatistics at the University of Michigan School of Public Health. He holds affiliate appointments at the Michigan Institute for Data and AI in Society (MIDAS) and leads the Michigan Statistics for Individualized-healthcare Lab (MiSIL). His research bridges statistical methodology and public health applications, with particular focus on precision medicine. Educational background includes: PhD in Biostatistics from Johns Hopkins University (2014) BS in Mathematics from Fudan University (2009) Dr. Wu's methodological research focuses on: Structured Bayesian latent variable models for disease subtyping and clustering Causal inference methods for sequential interventions in mobile health studies Reinforcement learning frameworks for personalized health interventions Scalable computation for high-dimensional biomedical data His applied work spans infectious diseases, mental health, autoimmune disorders, and cancer through collaborations with multiple research consortia including the Intern Health Study and UZIMA-DS project in Africa. Recent publications demonstrate strong focus on Bayesian methods, causal inference, and reinforcement learning applications in digital health. Article themes include mobile health interventions, synthetic EHR development, fair machine learning algorithms, and novel approaches for longitudinal and survival data analysis. Methodological innovations consistently address challenges in precision medicine and individualized health decision-making. Dr. Wu leads several collaborative initiatives including the Precision Health Use Case for mental health treatment (PROMPT) and partners with the Rogel Cancer Center. He advises multiple PhD students and postdoctoral researchers in statistical methodology development and health applications.

Moe Mojtahediمشاهده پروفایل

مدرس ارشد

• Construction Management
• Urban and Regional Planning
• Operations Research
• +۸ مورد دیگر

Dr Moe Mojtahedi is a Senior Lecturer at the School of Built Environment, University of New South Wales (UNSW). He earned his PhD in 2014 from the School of Civil Engineering at the University of Sydney. As a certified Project Management Professional (PMP) and Professional Engineer (PEng) accredited by Engineers Australia, Dr Mojtahedi bridges academic research with practical application in construction management and disaster risk reduction. PhD (University of Sydney, 2014) MEngSc (University of New South Wales) B.E. (Industrial), Professional Engineer (Australia) His research focuses on the intersection of construction management , urban resilience , and disaster risk reduction , particularly examining: Climate change adaptation in infrastructure Post-disaster recovery frameworks Lean construction methodologies Decision support systems for risk management Evacuation planning optimization Resilient hospital infrastructure Recent publications analyze trends in disaster science using computational modeling, prefabricated construction for industrial buildings, and AI/ML applications in aged care facility evacuation. His 2025 ChemistryOpen article explores sustainable reaction media for chemoselective processes, demonstrating interdisciplinary reach. Scientific recognition includes: Research Excellence Awards (Engineers Australia, 2012 & 2013) Best Conference Paper (ICES, Salford, 2017) Elsevier Outstanding Contribution Award (International Journal of Project Management, 2017) Learning and Teaching Excellence (UNSW, 2017) As a supervisor, he guides 7 PhD candidates and has mentored 4 graduates, including Mahmoud Ershadi (project management office effectiveness) and Kamyar Kabirifar (construction waste management). He contributes to policy discussions on aligning National Construction Code with UN Sendai Framework and advocates for disaster science integration in built environment practices. His media contributions examine hospital flood risks and climate change adaptation in Australia.

• Musculoskeletal Radiology
• Diagnostic Radiology
• Orthopedic Imaging
• +۳ مورد دیگر

Tina Basak, MD, serves as a Clinical Assistant Professor in the Department of Radiology & Imaging Sciences with board certification from the American Board of Radiology in Diagnostic Radiology. Her clinical and academic work focuses on advanced imaging applications in orthopedic surgery, particularly musculoskeletal disorders requiring precise diagnostic interpretation. Her educational background includes: M.D. from Keck School of Medicine of University of Southern California Residency in Diagnostic Radiology at Loma Linda University Medical Center Fellowship in Musculoskeletal Radiology at Cedars-Sinai Medical Center Internship in Transitional Year at Harbor-UCLA Medical Center B.A. in Biology & Social Science - Economics from University of Southern California Dr. Basak specializes in Musculoskeletal Radiology with deep expertise in foot and ankle imaging, where she integrates emerging technologies like 3D printing to enhance surgical planning and outcome analysis. Her research bridges radiological diagnostics with orthopedic biomechanics, emphasizing practical applications for complex anatomical corrections. This interdisciplinary approach demonstrates her commitment to translating imaging innovations into tangible clinical improvements for musculoskeletal pathologies. Her publication record reveals a focused trajectory in orthopedic radiology with emphasis on quantitative surgical assessment. The 2018 study on calcaneal osteotomies exemplifies her methodology of using 3D-printed models to objectively compare surgical techniques, highlighting a consistent interest in evidence-based validation of orthopedic procedures. This work reflects broader trends toward personalized surgical planning and technology-driven efficacy measurement in musculoskeletal interventions. Information regarding Dr. Basak's mentorship of students, research grant acquisitions, and laboratory affiliations is not documented in the available materials, though her academic position suggests involvement in clinical education and departmental research initiatives within radiology.

Sebastian von Mammenمشاهده پروفایل

استاد

• Games Engineering
• Virtual Reality
• Interactive Simulations
• +۳ مورد دیگر

Prof. Dr. Sebastian von Mammen is a tenured professor at the University of Würzburg's Institute for Computer Science, where he heads the Games Engineering research group and contributes to the Chair for Human-Computer Interaction. His group leads the Games Engineering academic program. Previously, he completed his habilitation (2012-2016) at the University of Augsburg's Chair of Organic Computing and was a postdoctoral fellow at the University of Calgary. His research spans: Real-Time Interactive Systems : Visual programming, immersion techniques, software engineering Interactive Simulations : Serious games for healthcare/logistics/construction Artificial Life : Self-organisation, adaptive systems, evolutionary computation Artificial Intelligence : Agent-based modeling, procedural content generation Recent publications (2023-2025) demonstrate strong focus on: Virtual reality applications in education (femtoPro optics simulator, BrainBuilder neuroanatomy) Healthcare technology platforms (VIA-VR for medical serious games) Game mechanics analysis (Match-3, Jump'n'Run flow) AI-driven emotion recognition and interactive systems Computational modeling of biological systems He leads the Games Engineering research group and previously participated in the Evolutionary and Swarm Design group (Calgary) and LINDSAY project. His lab develops VR simulations for scientific training and serious games applications.

• Materials Science
• Gas Sensing
• Electronics
• +۵ مورد دیگر

Khalifa Aguir is a Professor at Aix-Marseille University, affiliated with the Department of Detection, Radiation and Reliability (DETECT) and the Microsensor Instrumentation (MCI) Team. His research focuses on gas sensing technologies , particularly metal oxide semiconductors , nanomaterials , and thin films for environmental and biomedical applications.

John Eberthمشاهده پروفایل

دانشیار

• Cardiovascular Engineering
• Biomechanics
• Mechanobiology
• +۹ مورد دیگر

Dr. John F. Eberth is an Associate Professor at Drexel University's School of Biomedical Engineering, Science and Health Systems. As a cardiovascular engineer with expertise in mechanical controls, continuum biomechanics, and hydrogel-based extracellular matrix mimetics, he leads the Applied Biomechanics and Mechanobiology Lab (ABML) to investigate vascular behavior under mechanical stimuli. PhD in Biomedical Engineering from Texas A&M University (2008) MS in Mechanical Engineering from Clemson University (2004) BS in Mechanical Engineering from Clarkson University (2001) His research focuses on vascular pathology and mechanobiology, including: Aortopathy and aneurysm mechanics Endothelial dysfunction and arterial stiffening Hydrogel-based vascular grafts Calcification chelation therapy Coronary artery disease Perfusion tissue culture Recent publications demonstrate expertise in vascular imaging techniques, mechanical modeling, and therapeutic interventions. Key themes include drug-coated balloon development, collagen fiber mechanics, and bioreactor systems for vascular conditioning.

Satyajit Ambikeمشاهده پروفایل

دانشیار

• Biomechanics
• Human motor control
• Dynamical systems
• +۳ مورد دیگر

Satyajit Ambike is an Associate Professor in the Department of Health and Kinesiology at Purdue University , with courtesy appointments in the Department of Speech, Language, and Hearing Sciences. His research focuses on biomechanics , human motor control , and dynamical systems . PhD in Mechanical Engineering from The Ohio State University MS in Mechanical Engineering from The Ohio State University BE in Mechanical Engineering from University of Pune Dr. Ambike investigates human locomotion and prehension across the adult lifespan, analyzing how aging affects movement stability and the stability-agility tradeoff in daily activities. His work uses synergistic control frameworks to develop biomarkers for neuromuscular pathologies like Parkinson’s Disease. Recent publications emphasize adaptive gait analysis , prehensile control , and sensor-based mobility assessment using IMUs. Themes include aging, neuromuscular disorders, and movement optimization. Scientific Awards: Outstanding Graduate Faculty Teacher (2018) Presidential Fellowship (2009) Professional Affiliations: Advisory Board Member, International Society of Motor Control Advisory Committee Member, Center for Research on Brain, Behavior, and NeuroRehabilitation (CEREBBRAL) Faculty Associate, Center on Aging and the Life Course (CALC) Dr. Ambike’s lab, the Human Motor Behavior Group , trains PhD and MS students in biomechanical research, with graduates pursuing academic and clinical roles in physical therapy, neuroscience, and biomedical engineering.

Alvaro Fernandez Quilezمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Responsible AI
• AI Ethics
• +۱۳ مورد دیگر

Alvaro Fernandez Quilez is an Associate Professor in Artificial Intelligence at the Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger. He leads the Stavanger AI Laboratory (SAIL), fostering interdisciplinary AI research with a focus on healthcare and education applications. Research Interests: His work centers on responsible AI, emphasizing ethics, fairness, transparency, and uncertainty in AI systems. He applies deep learning and machine learning techniques to medical imaging, particularly in prostate cancer and neurodegenerative diseases like Alzheimer’s and Parkinson’s. His research integrates algorithmic innovation with clinical relevance, addressing challenges in data scarcity, bias, and model interpretability. The recent publications highlight a strong trend in developing and evaluating AI models for diagnostic support in radiology and neurology. Key themes include uncertainty quantification, self-supervised learning, synthetic data generation via GANs, and fairness analysis across gender and centers. The work spans from foundational AI methods to their clinical translation in multi-center studies. Teaching and Academic Leadership: He coordinates the course DAT105 - AI for everyone and has contributed as a guest lecturer in bioinformatics, technological foundations, and PhD ethics, particularly on AI and ethics. He is also enrolled in a PhD supervisory qualification program, underscoring his growing role in graduate education. Advising and Grants: While specific students and grants are not listed in the text, his leadership of SAIL and active publication record suggest involvement in research supervision and project funding. His collaborations span multiple institutions and disciplines, indicating strong team-based research efforts. Laboratories and Teams: He leads the Stavanger AI Laboratory (SAIL), which serves as the central hub for AI research at the University of Stavanger, promoting collaboration across departments and with external partners in healthcare and technology.

Sheng Sangمشاهده پروفایل

استادیار

• Mechanical Engineering
• Biomedical Engineering
• Machine Learning
• +۷ مورد دیگر

Sheng Sang is an Assistant Professor in the Department of Engineering Sciences at Bethany Lutheran College. His research lies at the intersection of Mechanical Engineering and Biomedical Engineering, with a strong emphasis on machine learning applications in composite materials and elastic metamaterials. His research interests include: Mechanical & Biomedical Engineering Machine Learning on Composites Elastic Metamaterials and Composites Optimization of Medical Devices Finite Element Modeling and Simulation Dr. Sang's recent publications demonstrate a consistent focus on integrating deep learning techniques with mechanical systems, particularly in predicting composite microstructures, tracking particles in complex systems, and optimizing wave propagation in metamaterials. His work frequently employs 3D CNNs and other neural architectures to solve inverse problems in material science. Scientific awards and recognition include: Dr. Lehtola Fellowship Research Grant ($9,000, PI), 2021–2023 Graco Engineering Lab Development Grant ($60,000), 2020–2022 He has been actively involved in teaching a wide range of engineering courses such as Fluid Mechanics, Solid Mechanics, Thermodynamics, and Computer-Aided Design. His research is supported by external grants, indicating active supervision and project leadership. Dr. Sang has collaborated with researchers across disciplines, including neuroscience and medical imaging, particularly in studies involving deep brain stimulation and fMRI. He is affiliated with research teams working on: Active elastic metamaterials design Machine learning for material characterization Optimization of biomedical devices using swarm intelligence Development of advanced simulation tools for composite systems

Fausto Caruanaمشاهده پروفایل

استاد مدعو

• Cognitive Neuroscience
• Affective Neuroscience
• 4E Cognition (Embodied, Embedded, Extended, Enactive)
• +۵ مورد دیگر

Fausto Caruana is Senior Researcher at the Italian National Research Council's Institute of Neuroscience and Adjunct Professor at the University of Parma's Department of Medical and Surgical Sciences (DIMEC). His career bridges neurophysiology , cognitive neuroscience , and neurophilosophy , focusing on mirror neuron systems , emotional contagion , and embodied cognition . Research Pillars : System neuroscience, laughter studies, social cognition, and 4E cognitive science Methodological Expertise : Intracranial EEG, brain stimulation, tractography, and cross-species comparisons His publications (over 100) demonstrate temporal progression from primate electrophysiology to human clinical neuroscience. Key themes include: Laughter's neurochemical and network basis Insula-cingulate pathways in emotional processing Sensorimotor abductive mechanisms in social cognition Pragmatist approaches to emotion theories Scientific recognition includes the prestigious Sante de Sanctis Prize for his volume "Come Funzionano Le Emozioni". He serves editorial boards for Frontiers in Theoretical Psychology and Mind & Society , while organizing international conferences like the 2024 Erice workshop on Emotional Expressions.