جست‌وجوی استاد و پژوهشگر

Dario Prandiمشاهده پروفایل

پژوهشگر

• Sub-Riemannian Geometry
• Neural Fields
• Control Theory
• +۴ مورد دیگر

Dario Prandi is a Researcher at the Laboratoire des Signaux et Systèmes (L2S) within CentraleSupélec, located in Gif-sur-Yvette, France. His work bridges mathematical analysis, control theory, and neuroscience, with a focus on geometric models of vision and auditory processing. He holds a PhD from École Polytechnique (2013) and has authored numerous high-impact publications in journals like SIAM and IEEE conferences. Research interests span sub-Riemannian geometry, neural field equations, and mathematical neuroscience. Notable contributions include cortical-inspired models explaining visual illusions (e.g., MacKay and Poggendorff effects), sound reconstruction via bio-inspired geometric frameworks, and the application of control theory to image processing and neural dynamics. His work often combines advanced mathematical techniques with applications in biomedical engineering and artificial perception. Recent activities include developing homogeneous observers for cortical activity models and analyzing decay rates in nonlinear systems. He collaborates extensively with institutions like Inria and the University of Paris-Saclay, contributing to transversal research axes in energy, Industry 4.0, and health technologies. Labs/Teams: Member of L2S's research groups Modélisation et Estimation, Problèmes Inverses, and the Automatique et Systèmes department. His research aligns with interdisciplinary projects in geometric science of information and hypoelliptic diffusion processes.

Daniel Jodlbauerمشاهده پروفایل

پژوهشگر

• Computational Mathematics
• Numerical Analysis
• Biomedical Imaging
• +۴ مورد دیگر

Dr. Daniel Jodlbauer is a Research Scientist at the Johann Radon Institute for Computational and Applied Mathematics (RICAM) , part of the Austrian Academy of Sciences (OEAW). He is affiliated with the Transfer Group , focusing on interdisciplinary computational methods and their applications in science and engineering. His research spans numerical analysis, computational mechanics, and biomedical imaging. Key projects include developing matrix-free multigrid solvers for fluid-structure interaction and phase-field fracture problems, and advancing adaptive optics for biomedical imaging (e.g., AO-OCT) and astronomical instrumentation (e.g., the MICADO imager for the Extremely Large Telescope). His work bridges theoretical computational methods with real-world applications in medicine, astronomy, and engineering. Recent contributions highlight advancements in PSF reconstruction for the MICADO project, improving imaging resolution for the ELT telescope, and optimizing wavefront sensors for retinal imaging. His computational methods address challenges in high-performance computing, parallel algorithms, and nonlinear solvers for complex physical systems. Dr. Jodlbauer collaborates across disciplines, contributing to RICAM’s research groups in Computational Methods for PDEs and Optimization. His publications reflect expertise in mathematical data science, inverse problems, and multivariate algorithms, though no academic awards or grants are explicitly noted in the provided text.

Maryam Parsaمشاهده پروفایل

استادیار

• Neuromorphic Computing
• Neural Architecture Search
• Bayesian Optimization
• +۶ مورد دیگر

Maryam Parsa is a Tenure-Track Assistant Professor in the Department of Electrical and Computer Engineering at George Mason University. Her research focuses on neuromorphic computing, Bayesian optimization, and algorithm-hardware co-design, aiming to develop energy-efficient, secure, and resilient AI systems for edge computing applications. She holds a PhD from Purdue University, supported by an Intel/SRC fellowship, and previously worked at Oak Ridge National Lab. Education: PhD in Electrical and Computer Engineering, Purdue University (2020) MS in Civil Engineering, Purdue University (Year unknown) MS in Electrical and Computer Engineering, University of Ottawa (Year unknown) BS in Electrical and Computer Engineering, Khaje Nasir Toosi University of Technology (Year unknown) Research Interests: Neuromorphic learning and bio-inspired robotics Bayesian optimization for materials discovery Privacy-preserving spiking neural networks Edge AI and real-time embedded systems Major Achievements: Lead a $2.4M 3-year project on 3D chip creation (2023) Recipient of Intel/SRC PhD Fellowship Current Work: Developing neuromorphic architectures for smart healthcare and cyber-physical systems Pioneering causal machine learning for materials innovation Advancing privacy & security in neuromorphic systems Labs/Teams: Active in Mason's neuromorphic computing research group with collaborations in national labs and industry partners.

Carmen Maria Gomez Navarroمشاهده پروفایل

استادیار

• Social Work
• Human Rights
• Rare Diseases
• +۵ مورد دیگر

Carmen Maria Gomez Navarro is an Assistant Professor in the Department of Social Work and Social Services at the Faculty of Social Work, University of Murcia. With a Doctorate in Social Intervention and Mediation from the same institution, she has established herself as a prominent researcher in interdisciplinary fields connecting social work with healthcare, human rights, and conflict resolution. Her research interests span multiple disciplines with a focus on rare diseases (particularly retinal conditions), human rights frameworks, social work interventions, and mediation practices. She has developed significant expertise in understanding the social dimensions of rare visual diseases, prison mediation systems in Spain, and the role of social workers in advocating for human rights including access to water and healthcare. Her publication trends reveal a strong interdisciplinary approach, with recent work increasingly focusing on rare eye diseases and patient advocacy through initiatives like the 'Canal Retina' podcast. Her research demonstrates consistent engagement with both theoretical frameworks and practical applications across social work, healthcare systems, and human rights advocacy. As an active academic, Gomez Navarro has supervised doctoral research and contributes to multiple research groups including the 'Luis Olariaga' Seminar on Social Policy. Her work bridges academic research with practical social interventions, particularly in areas of rare diseases, prison systems, and corporate social responsibility.

Baidaa Al-Banderمشاهده پروفایل

مدرس

• AI in Healthcare
• Computer Vision
• Explainable AI
• +۳ مورد دیگر

Baidaa Al-Bander is a Lecturer at Keele University's School of Computing and Mathematics. She holds an MSc in Computer Engineering from the University of Baghdad and a PhD in Electrical Engineering from the University of Liverpool (2018), followed by a Postdoctoral Research position at the University of Dundee. Her research focuses on AI-driven solutions for healthcare and real-world applications, including medical imaging analysis, explainable AI, and deep learning algorithms. She collaborates with experts in medicine, engineering, and computer science to address practical challenges, emphasizing interdisciplinary approaches. Al-Bander's work spans glaucoma diagnosis, melanoma detection, and autonomous medical systems, with publications in top-tier journals like PLoS One and Electronics . She actively reviews for leading conferences and journals, contributing to advancing AI ethics and applications. Her educational background and industry partnerships position her as a key figure in computational healthcare research. Education: MSc Computer Engineering, University of Baghdad (Iraq) PhD Electrical Engineering, University of Liverpool (2018) Research Interests: AI in Healthcare Computer Vision Explainable AI Deep Learning for Medical Imaging Data Science in Structural Engineering Key Contributions: Developed AI models for automated software testing using large language models. Pioneered emotion-aware mental health chatbots integrating BERT and GPT frameworks. Advanced glaucoma diagnosis techniques via deep learning-based retinal image analysis. Benchmarked deep learning algorithms for skin cancer and melanoma detection. Collaborations: Works with interdisciplinary teams in medicine, civil engineering, and cybersecurity to apply AI to real-world problems like seismic risk assessment and network intrusion detection.

• Perturbative QCD
• Quark-Gluon plasma
• Jet quenching
• +۲ مورد دیگر

Dr. Amit Kumar is a Research Fellow in the Department of Physics and Astronomy at Wayne State University's College of Liberal Arts and Sciences. He completed his Ph.D. in Physics from Wayne State University in 2020. His current research explores fundamental aspects of high-energy physics and quantum phenomena. His primary research interests focus on theoretical and experimental aspects of particle physics including: Perturbative quantum chromodynamics (QCD) Quark-Gluon plasma formation and dynamics Jet quenching mechanisms in high-energy collisions Nanophotonics and light-matter interactions Applied electromagnetics for communication systems Dr. Kumar's publications demonstrate interdisciplinary work across physics domains. His recent articles explore nanophotonic structures, combustion physics, biomedical imaging algorithms, and antenna design. The research shows consistent application of theoretical physics principles to practical engineering challenges, with emphasis on optical systems, electromagnetic wave propagation, and computational modeling. No scientific awards or honors are mentioned in the provided materials. There is no available information regarding student advising, research grants, laboratory affiliations, or team collaborations in the source materials.

Cedric Asensioمشاهده پروفایل

دانشیار

• Membrane Trafficking
• Cell Biology
• Molecular Biophysics
• +۴ مورد دیگر

Cedric Asensio is an Associate Professor in the Department of Biological Sciences at the University of Denver, specializing in Molecular & Cellular Biophysics within the College of Natural Sciences and Mathematics. His research focuses on membrane trafficking mechanisms in health and disease, particularly insulin secretion pathways and vesicle biogenesis in endocrine and neuroendocrine cells. He holds a PhD in Biochemistry/Endocrinology from the University of Geneva (2005), following bachelor’s and master’s degrees in biochemistry from the same institution. After postdoctoral training at the University of California, San Francisco, he joined the University of Denver in 2014 as a tenure-track faculty member. His research interests span cellular membrane dynamics, including dense-core vesicle formation, regulated secretory pathways, and the molecular basis of endocrine disorders. Notable projects include studies on LIMK1 variants in endocrine dysfunction, VPS41’s role in beta-cell identity, and proteomic analysis of sponge aggregation factors. His work integrates cellular imaging, genetic models, and proteomic approaches. Professional affiliations include the American Society for Cell Biology, American Diabetes Association, and American Heart Association. His recent publications (2020–2025) highlight advancements in understanding genetic mutations linked to neurodegenerative disorders, diabetes pathogenesis, and vesicle trafficking mechanisms. While no specific awards are listed, his contributions to membrane trafficking research and insulin secretion biology are reflected in his extensive publication record. Current research projects likely explore the interplay between cellular trafficking pathways and disease processes, with potential applications in therapeutic development.

Therese O’Sullivanمشاهده پروفایل

دانشیار

• Nutrition Science
• Pediatric Health
• Dietetics
• +۷ مورد دیگر

Associate Professor Therese O’Sullivan is affiliated with Edith Cowan University (ECU), leading the School of Medical and Health Sciences. Her primary role is as an Associate Professor in Nutrition and Dietetics, focusing on research into dairy fat health benefits and breastfeeding support for new mothers. She holds academic qualifications including a PhD from Queensland University of Technology (2008). Education: Doctor of Philosophy, Queensland University of Technology (2008) Bachelor of Applied Science (Human Movement Studies), Queensland University of Technology (2003) Bachelor of Health Science (Nutrition & Dietetics), Queensland University of Technology (2003) Research Interests: Her work spans the Milky Way Study on dairy fat effects in children, child-centered healthcare principles, antenatal colostrum expression, gut health, plant-based diets, and non-alcoholic fatty liver disease. She advocates for respectful, child-centric research methodologies and has pioneered guidelines for pediatric clinical trials. Grants & Projects: BoneBoost Gelato: $49,530 (2025–2026) Mindful mouthfuls: $28,050 (2023–2025) Happy Kids Through Connected Parenting: $118,558 (2023–2024) Awards: Notable recognitions include the 2021 Nutrition Society of Australia Mid-Career Award, 2015 ECU Excellence in Research Award, and 2010 DAA Emerging Researcher Award. Labs/Teams: Active in interdisciplinary teams like the ECU Survey Research Centre and collaborations with Telethon Kids Institute. Her work integrates nutrition science with clinical practice and public health advocacy.

• Neuroscience
• Alzheimer's Disease
• Neurodegenerative Disorders
• +۳ مورد دیگر

Kevin Taddei is a Researcher in Neuroscience at Edith Cowan University's School of Medical and Health Sciences. He holds a Bachelor of Science from Curtin University (1994). His work focuses on Alzheimer's disease biomarkers, neurodegenerative processes, and lifestyle factors influencing cognitive health. Key research areas include blood-based biomarkers, sleep quality, diet, and physical activity's impact on amyloid accumulation and cognitive decline. Research highlights include studies on plasma pTau217 for Alzheimer's staging, APOE ε2 genetic resilience, and coffee consumption's protective effects. He has contributed to large cohort studies like the Australian Imaging, Biomarkers and Lifestyle Study (AIBL) and the Dominantly Inherited Alzheimer Network. Funding includes significant grants from the Australian Alzheimer's Research Foundation and the Lions Alzheimer's Foundation, totaling over $8 million. His work integrates neuroimaging (e.g., PET), proteomics, and longitudinal tracking to advance early detection and prevention strategies. Collaborations span global networks like the FINGER prevention trials. Ongoing projects explore retinal imaging as a non-invasive Alzheimer's biomarker and multidomain lifestyle interventions (AU-ARROW study).

• Microbiology
• Virology
• Genomics
• +۲ مورد دیگر

Andrew Nelson is a Research Fellow at Northumbria University , contributing to interdisciplinary research in microbiology, virology, and genomic epidemiology. His work spans clinical microbiome analysis, viral evolution, and biomedical applications. PhD in Microbiology (2007) Honorary membership: Health & Care Professional Council (HCPC), 2013 Research interests include: Microbiome dynamics in respiratory/gut systems and preterm infant health Viral transmission mechanisms of SARS-CoV-2 variants Genomic surveillance of bacterial/viral pathogens Epigenetic impacts of maternal nutrition on neurodevelopment Article trends show expertise in metagenomics (11/15), infectious disease modeling (7/15), and sample methodology (3/15). Notable collaborations include work on UK pandemic response and placental microbiota challenges. Supervision includes: Jasmine Jessop (PhD candidate): Prophage diversity in Staphylococcus epidermidis pathogenesis

• Toxicology
• Cancer Biology
• Cellular Metabolism
• +۳ مورد دیگر

Qing Wang, PhD, is an Assistant Professor in the Department of Toxicology and Cancer Biology at the University of Kentucky. Their research integrates cellular metabolism, autophagy, and inflammatory processes to understand disease mechanisms, particularly in neurodegenerative disorders like CLN3 disease and platelet dysfunction in thrombosis. Dr. Wang’s work spans multiple disciplines, including metabolomics, genetic engineering, and imaging technologies to study retinal degeneration and viral interactions with blood cells. Research interests focus on uncovering how metabolic pathways and autophagy pathways contribute to pathologies such as neuronal ceroid lipofuscinosis, traumatic brain injury, and cancer. Their lab employs advanced techniques like stable isotope-resolved metabolomics, CRISPR-Cas9 mouse models, and high-resolution imaging to analyze cellular responses under stress conditions. Publications highlight a trajectory toward understanding platelet bioenergetics, autophagy regulation in non-nuclear cells, and the role of CLN3 gene mutations in retinal and neuronal dysfunction. Methodological advancements in mass spectrometry and data analysis further underscore their contributions to improving experimental precision in metabolomics studies. Advising and grants: No advisees or grant details listed in provided text. Collaborations likely involve interdisciplinary teams given the multi-disciplinary nature of their research projects.

Elke Buschbeckمشاهده پروفایل

استاد

• Neuroethology
• Insect Neurobiology
• Evolutionary Biology
• +۳ مورد دیگر

Elke Buschbeck is a Professor in the Department of Biological Sciences at the University of Cincinnati, leading the Buschbeck Lab. Her research focuses on the evolution and development of arthropod visual systems, particularly diving beetle larvae and other insects. She holds a PhD in Ecology and Evolutionary Biology from the University of Arizona. Her work integrates neuroethology, molecular biology, and optics to understand how sensory systems adapt to ecological niches. Buschbeck has secured multiple National Science Foundation grants, including a $600,000 award (2015–2019) studying diving beetle larval visual systems, and a $499,999 grant (2019–2023) exploring coordinated eye growth. She also serves as a PI for equipment grants, such as acquiring a BZ-X700 Fluorescence Microscope. Her research interests span neuroethology, insect neurobiology, and evolutionary developmental biology. Key projects include investigating lens-retina coordination in beetle larvae and using RNAi to study gene roles in eye development. She collaborates with institutions like Wayne State University and Cornell University. Education: PhD, Ecology and Evolutionary Biology (University of Arizona) Grants: NSF IOS-1456757, IOS-1856241, and others Lab Members: Mentors over 15 graduate and undergraduate students Awards: Recognitions in journals like F1000Prime and Nature Genetics Research Highlights Buschbeck’s lab has pioneered techniques like autofluorescence-based eye exams for invertebrates and developed a micro-ophthalmoscope for studying tiny eyes. Her work bridges molecular genetics, physiology, and ecology, addressing how ancient genes shape novel eye structures. Recent findings include bifocal lenses in diving beetles and polarization sensitivity in aquatic larvae. Grants & Funding NSF IOS-1456757 ($600,000): Diving Beetle Larval Visual System NSF IOS-1856241 ($499,999): Coordinated Eye Growth UC Internal Grant ($49,407): Fluorescence Microscope Acquisition Labs & Teams Her lab collaborates with computer science students on eye development simulations and mentors students in molecular biology, neurophysiology, and microscopy. Projects include studying photoreceptor health, lens protein knockdowns, and arthropod vision evolution.

Nathan Morehouseمشاهده پروفایل

دانشیار

• Visual Ecology
• Sexual Selection
• Coevolutionary Dynamics
• +۵ مورد دیگر

Nathan Morehouse is an Associate Professor in the Department of Biological Sciences at the University of Cincinnati and Director of the Institute for Research in Sensing (IRiS). He holds a Ph.D. from Arizona State University (2009) and a B.S. from Cornell University (2000). His research focuses on the evolutionary biology of visual and behavioral traits in insects and spiders, particularly jumping spiders and butterflies. He investigates co-evolutionary dynamics of reproductive traits, sexual selection, and nutritional ecology, with an emphasis on how visual systems influence signal evolution. Education: Ph.D., Biology, Arizona State University, 2009 B.S., Biological Sciences, Cornell University, 2000 Key Research Interests: Visual ecology and color vision in jumping spiders Coevolution of male displays and female sensory systems Post-copulatory reproductive interactions in butterflies Art-science collaborations to enhance public engagement Grants and Funding: $1,028,734 (NSF) for research on jumping spider color vision $580,896 (NSF) for studies on female gaze and male courtship displays IRiS partnerships with industry (Kroger, Procter & Gamble) and federal agencies (NIOSH) Labs and Teams: Directs IRiS and leads the Morehouse Lab, which emphasizes interdisciplinary research and outreach. Collaborates with institutions globally, including the University of Tours (France) and UC’s engineering and arts colleges.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Sumeia Elkazza is a Lecturer in Computer Science at the School of Computing, Engineering and Digital Technologies, Teesside University. She holds a PhD in Intelligent Sensing and Communication from Newcastle University, with a thesis focusing on prognosis prediction in retinal vein occlusion using machine learning and deep learning. Her MSc (Distinction) and BSc (First Class) are from Northumbria University and Benghazi University, respectively. Her research emphasizes AI applications in medical imaging, particularly ophthalmology, with a focus on feature extraction and predictive modeling for retinal diseases. She teaches programming (Python, C/C++) and machine learning. Her research interests span artificial intelligence, machine learning, and deep learning applied to medical imaging, including retinal vein occlusion prognosis and anti-VEGF treatment prediction. Collaborations involve clinical decision support systems and ophthalmic disease analysis. Recent work includes developing machine learning models to match clinician performance in forecasting visual outcomes for retinal vein occlusion patients. Education: PhD: Newcastle University (Intelligent Sensing & Communication) MSc: Northumbria University (Computer Science, Distinction) BSc: Benghazi University (Computer Science, First Class) Research Focus : Elkazza’s work bridges AI and healthcare, particularly in ophthalmology. She explores machine learning techniques for medical image analysis, focusing on retinal diseases like macular edema and vein occlusion. Her models aim to enhance clinical decision-making through accurate prognosis and treatment efficacy prediction. Grants/Advising : She is currently accepting PhD students in AI/ML for medical applications. No specific grants are listed, but her research aligns with clinical collaboration frameworks.

Phyllis Robinsonمشاهده پروفایل

استاد

• Signal Transduction
• Neurobiology
• Vision Science
• +۲ مورد دیگر

Phyllis Robinson is a Professor in the Department of Biological Sciences at the University of Maryland Baltimore County (UMBC), where she has been a faculty member since 1992. She is renowned for her research on signal transduction in photoreceptors, particularly focusing on melanopsin and its role in non-image-forming vision. Her work bridges biochemistry, molecular biology, and physiology to understand visual pigment adaptations. At UMBC, she co-founded the Women in Science and Engineering group, served as Co-PI on the NSF ADVANCE grant, and currently co-chairs the University executive committee on Gender and Diversity in STEM. She also directs the NIH-funded U-RISE training program. Her research has resulted in over 50 peer-reviewed publications and mentorship of 10 PhD students and more than 50 undergraduates. She has contributed extensively to understanding phototransduction mechanisms, retinal pigments, and their evolutionary adaptations in marine mammals and other species. Her recent publications highlight studies on melanopsin's two-photon activation, phosphorylation plasticity, clathrin-mediated endocytosis, and spectral tuning in marine species. These works span disciplines including neuroscience, molecular biology, and visual ecology, with subfields like photoreceptor regulation, GPCR dynamics, and environmental adaptation. Scientific grants include multiple NIH-sponsored projects on vision biology and a grant from the Hrabowski Innovation Fund for interdisciplinary research in mathematics and medicine. She has taught courses in neurobiology, vision science, and signal transduction, and her lab (Robinson Lab) investigates structural and molecular aspects of melanopsin phototransduction.