جست‌وجوی استاد و پژوهشگر

• Computer Vision
• Machine/Deep Learning
• Complex Networks
• +۱ مورد دیگر

MOURCHID Youssef is a Researcher-Lecturer at CESI (Campus Dijon), affiliated with the Engineering and Numerical Tools research team. He holds a PhD in Computer Science from Mohammed V University, Bourgogne University, and Osaka University (2014–2019), and completed a postdoctoral fellowship at Thales & IMS Lab, Bordeaux INP (2019–2020). His academic background includes a Master’s in Computer Science and Telecommunications from Mohammed V University (2012–2014). Roles: Researcher-Lecturer, Head of Building-Environment Chair, and reviewer for conferences like IEEE Image Processing and EGC. Teaching: Teaches computer science disciplines (Programming, AI, NLP) to engineering students and job applicants via courses, practical work, and active pedagogy. Research Interests: Focuses on Computer Vision, Machine/Deep Learning, Complex Networks, and Digital Healthcare . Key projects include applying graph neural networks for patient rehabilitation assessment, AI-driven impact fall detection, and satellite image colorization using GANs. His work bridges healthcare technology and multimedia analysis. Publications: Over 25+ peer-reviewed papers (6 journal articles, 13 conferences) spanning spatio-temporal graph networks, multilayer network models, and GAN applications. Recent work emphasizes healthcare applications like hypotension prediction and multimodal fall detection. Advising: Supervised master’s and PhD students on topics like GANs for image super-resolution, multilayer network analysis of movies, and AI for medical monitoring.

Daniel Gillمشاهده پروفایل

مدرس ارشد

• Social Perception
• Cognitive Psychology
• Facial Morphology
• +۳ مورد دیگر

Dr. Daniel Gill is a Senior Lecturer in the Department of Psychology at the University of Winchester. He holds a BSc in Physics (Magna cum laude) from Ben-Gurion University, Israel; an MSc in Computational Neuroscience and a PhD in Statistics from The Hebrew University of Jerusalem. He completed a Postdoctoral Research Associate position at the Institute of Neuroscience and Psychology, University of Glasgow, UK. His research focuses on cognitive mechanisms of social perception, particularly social inference from facial morphology, dynamics, and coloration. He develops innovative psychophysical methods and has pioneered techniques like Bubble-Warp for visualizing mental representations. Earlier work includes machine learning applications in shape recognition and biomedical signal analysis, earning a Best Paper Award in 2007. Research Interests: Social perception and cognition Facial dynamics and their role in social interaction Machine learning in biomedical signal processing Gender differences in facial perception Publications highlight trends in facial morphology analysis, dynamic gesture effects on social judgment, and cross-cultural studies in social evaluation. His work bridges psychology, neuroscience, and computational methods, emphasizing interdisciplinary approaches. Awards include recognition for shape classification research. Advising/Grants: No specific advisees or grants listed. Collaborations focus on interdisciplinary projects.

Katherine R. Goodrichمشاهده پروفایل

استاد

• Plant-Insect Interactions
• Floral Scent Chemistry
• Pollination Ecology
• +۳ مورد دیگر

Katherine R. Goodrich is a Professor and Chair of the Biology Department at Widener University’s College of Arts & Sciences. Her research focuses on plant-insect interactions, particularly floral scent chemistry, pollination ecology, and ecological mimicry. She actively involves undergraduates in research, emphasizing hypothesis-driven learning and grant-writing skills. Education: PhD in Plant Biology (2008), University of South Carolina Research Interests: She investigates how plants use scent, color, and morphology to communicate with insects, including floral mimicry in pawpaw pollination and biomechanical adaptations in plant structures. Her work bridges plant chemistry, ecology, and evolutionary biology. Awards & Grants: Recipient of the Cynthia H. Sarnoski Science Faculty Fellowship (2019-2021), Widener Faculty Institutional Leadership Award (2021), and multiple research grants from Widener University. Her leadership in diversity, equity, and inclusion initiatives has shaped campus policies. Service & Media: Presented invited lectures at Harvard University and contributed to media discussions on pawpaw biology. Leads campus efforts in DEI initiatives, serving on Faculty Council committees.

Rafael Kleimanمشاهده پروفایل

استاد

• Solar Energy
• Photovoltaics
• Photonics Engineering
• +۵ مورد دیگر

Rafael Kleiman is a Professor and Department Chair of Engineering Physics at McMaster University. He leads the Lab for Advanced Photovoltaic Research and focuses on solar energy, quantum materials, and satellite-based optical communications. His work bridges photovoltaics innovation with sustainable energy solutions, emphasizing multijunction solar cells, III-V/Si integration, and advanced characterization techniques. Education: Ph.D. (Cornell University), M.Sc. (Cornell University), S.B. (MIT). He teaches ENGPHYS 2QM3: Introduction to Quantum Mechanics . Research Interests: Photovoltaics (III-V/Si multijunctions, light trapping), quantum materials for computing, and satellite optical communications. Key projects include low-cost high-efficiency solar cells and next-gen photonic devices. His lab develops novel materials and architectures for energy and space applications. Grants & Recognition: Secured NSERC Alliance Grants (2024) and a NRC award (2021) for quantum and satellite communication projects. His work advances Canada's digital infrastructure and sustainable energy goals. Lab & Teams: Directs the Lab for Advanced Photovoltaic Research, fostering interdisciplinary collaboration in energy and micro-nano systems. Active in McMaster's microelectronics and photonics research clusters.

• Lipid Metabolism
• Organelle Contact Sites
• ER Homeostasis
• +۴ مورد دیگر

Dr. Rupali Banerjee is an Assistant Professor in the Department of Cell Biology at UT Southwestern Medical Center. Her research focuses on lipid metabolism, organelle contact sites, and cellular stress responses using Drosophila and mammalian models. Education: PhD in Biology (2015). Research Focus: Investigates lipid droplet biogenesis, ER-endolysosomal contact sites, and metabolic regulation. Key discoveries include Snazarus/SNX25 roles in autophagy and Mdm1-mediated lipid droplet formation at ER contact sites. Recent work explores actin cytoskeleton regulation of adipocyte size and inter-organ nutrient trafficking. Publication Trends: Her work (2003-2024) spans pigmentation genetics to advanced proximity labeling techniques. Recent studies characterize metabolic rewiring in lipid-depleted systems and ER-associated lipoprotein homeostasis, with consistent focus on membrane contact site biology. Model Systems: Leverages Drosophila genetics, yeast models, and mammalian cell systems to study evolutionarily conserved mechanisms of metabolic regulation and organelle dynamics.

Travis Vandergriffمشاهده پروفایل

پزشک-پژوهشگر

• Skin Cancer
• Melanoma
• Dermatopathology
• +۳ مورد دیگر

Dr. Travis Vandergriff is a Physician Scientist in the Department of Dermatology at UT Southwestern Medical Center, specializing in Dermatology and Dermatopathology. He graduated summa cum laude from the University of Texas at Austin with majors in Plan II Honors, Linguistics, and Spanish Literature, followed by medical training at Baylor College of Medicine with highest honors. He completed his dermatology residency at UTSW as Chief Resident and a Dermatopathology fellowship under Dr. Clay Cockerell. Currently, he is pioneering the development of UT Southwestern's Dermatopathology service. His research focuses on skin cancer (particularly melanoma), diagnostic dermatopathology, and medical education for future dermatologists. Key areas of investigation include cutaneous lymphoma diagnosis, skin cancer progression mechanisms, and clinical dermatology practice improvements. His work bridges clinical practice and laboratory research, addressing both diagnostic challenges and therapeutic advancements in skin diseases. Dr. Vandergriff’s publications span 2007–2017, reflecting his contributions to understanding cutaneous malignancies, autoimmune skin conditions, and novel therapeutic approaches. His clinical interests emphasize early detection strategies for skin cancers and optimizing patient outcomes through evidence-based practices. While no formal academic awards are listed, his active research and clinical contributions highlight his commitment to advancing dermatological science and education. In addition to his clinical and academic roles, Dr. Vandergriff collaborates with multidisciplinary teams to improve diagnostic accuracy in dermatopathology and participates in trials evaluating scar prevention techniques. His work underscores the integration of clinical dermatology, pathology, and translational research to address complex skin disorders.

Evan Lucasمشاهده پروفایل

استادیار

• Machine Learning
• Signal Processing
• Environmental Sensing
• +۴ مورد دیگر

Evan Lucas serves as an Assistant Professor in the Department of Computer Science at Michigan Technological University, with research activities centered at the Great Lakes Research Center (GLRC). His work bridges theoretical machine learning with practical environmental monitoring applications, focusing on signal processing systems for real-world deployment. Dr. Lucas specializes in Machine Learning for Signal Processing with particular emphasis on Environmental Sensing applications. His technical portfolio includes Image Enhancement algorithms for underwater systems, Acoustic Signal Processing for marine environments, and cutting-edge research on Large Language Model Memorization and Watermarking techniques. His methodologies often combine classical signal processing with modern deep learning approaches to solve challenging environmental monitoring problems. Analysis of his recent publications reveals strong interdisciplinary connections between computer science and environmental engineering. His work shows increasing focus on AI security aspects, particularly in developing watermarking solutions for large language models, while maintaining active contributions to underwater acoustic communication systems and indigenous language preservation technologies. Through his GitHub presence with 28 repositories and 104 starred projects, Dr. Lucas demonstrates substantial software engineering contributions to the research community. His projects include practical implementations like the batch-image-enhacement pipeline and specialized tools for Ojibwe dialect analysis, indicating both technical depth and commitment to real-world applications.

Sue Bertramمشاهده پروفایل

استاد

• Sexual Selection
• Evolutionary Biology
• Animal Behavior
• +۳ مورد دیگر

Dr. Sue Bertram is a Professor in the Department of Biology at Carleton University, affiliated with the Faculty of Science. She holds degrees from Trent University (B.Sc., M.Sc.) and Arizona State University (Ph.D.). Her research focuses on evolutionary biology, particularly the maintenance of genetic variation in sexually selected traits using field crickets as a model organism. Key themes include sexual selection mechanisms, ecological interactions, and behavioral adaptations. Her work integrates laboratory and field studies to address theoretical inconsistencies in sexual selection theory. The Bertram Lab explores topics such as nutrient-driven behavior, signal efficacy, and cognitive performance in insects. Recent projects include analyzing cricket acoustics via machine learning and investigating dietary impacts on morphology and signaling. Dr. Bertram is actively involved in online education innovation, co-authoring guides for pandemic-era teaching. She maintains an active lab website and is accessible via Twitter @sue_bertram. Her research is supported through collaborations with institutions like the Department of Biology and the Carleton University Greenhouses. Publications span journals such as Animal Behaviour , Behavioural Processes , and Advances in the Study of Behavior . She contributes to interdisciplinary discussions at the intersection of nutrition and behavior. Office: CTTC 4631; Lab: CTTC 4440G.

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.

Graham Finlaysonمشاهده پروفایل

استاد

• Color Science
• Computer Vision
• Image Processing
• +۳ مورد دیگر

Graham Finlayson is a Professor of Computing Science at the University of East Anglia (UEA), leading the Vision Group within the School of Computing Sciences. He is a member of the Colour and Imaging Lab, renowned for pioneering research in color science and imaging. Finlayson holds a unique distinction as the youngest professorial appointment in UEA's history, awarded at age 30 in 1999. His academic journey includes a BSc from the University of Strathclyde, followed by MSc and PhD degrees from Simon Fraser University, where he received the prestigious 'Dean’s Medal' for his doctoral work. Finlayson's research spans computer science, engineering, and psychophysics, with a focus on color imaging, computational geometry, and embedded systems. His work has resulted in over 200 conference papers, 50+ journal articles, and 25+ patents, many integrated into commercial products like photo software, ASICs, and camera systems. Notable collaborations include partnerships with Apple, Sony, and Unilever. Recognition includes the Philip Leverhulme Prize (2002), Royal Society-Wolfson Merit Award (2008), and Royal Photographic Society’s Davies Medal (2009). He is a Fellow of the Royal Photographic Society, Society for Imaging Science and Technology, and the Institute of Engineering Technology. His achievements also extend to entrepreneurship: founding Imsense Ltd, a spin-out company sold to a major industry player in 2010, marking UEA’s first venture capital-backed exit. Recent research focuses on spectral reconstruction, underwater imaging enhancement, and computational color constancy. Key projects include collaborations with Cefas on remote sensing applications and EPSRC initiatives in agricultural robotics. Finlayson’s work bridges academic rigor with industrial impact, driving innovation in imaging technologies.

Murphy Yuezhen Niuمشاهده پروفایل

استادیار مدعو

• Quantum Computing
• Quantum Error Correction
• Quantum Machine Learning
• +۵ مورد دیگر

Murphy Yuezhen Niu is an Adjunct Assistant Professor at the University of Maryland's Institute for Advanced Computer Studies (UMIACS) and a former QuICS Fellow. She holds a PhD in theoretical and mathematical physics from MIT (2018) and previously worked at Google Quantum AI, focusing on quantum control optimization, quantum machine learning, and error correction. Her research integrates deep reinforcement learning and generative models with quantum computing, leveraging superconducting qubit systems. Education: PhD in Theoretical and Mathematical Physics (MIT, 2018); Prior roles include Senior Research Scientist at Google Quantum AI (2023–2024). Research Interests: Quantum error correction, quantum algorithm design, photonic quantum computing, and hybrid quantum-classical systems. She explores topics like quantum control optimization using AI, fault-tolerant architectures, and applications of quantum machine learning to quantum processor design. Articles Trends: Recent work emphasizes quantum error correction below surface code thresholds, quantum photonic neural networks, and disorder-free localization in quantum systems. Themes include scaling logical qubits, optimizing quantum gates, and leveraging machine learning for error decoding. Awards: Claude E. Shannon Research Assistantship (for work at photonic quantum computation/quantum cryptography intersection). Advising & Grants: No students listed. Active in collaborative projects at UMIACS and UCSB. Labs/Teams: Joint Center for Quantum Information and Computer Science (QuICS), Google Quantum AI (prior role).

Dana E. GHIȚĂمشاهده پروفایل

مدرس

• Image Processing
• Biomedical Imaging
• Image Segmentation and Analysis
• +۳ مورد دیگر

Lecturer Dana E. GHIȚĂ is affiliated with the Department of Electrical Engineering and Applied Physics at the Faculty of Electrical Engineering and Computer Science, Technical University of Brasov (UNITBV). Her research focuses on image processing, biomedical imaging, and advanced segmentation techniques with applications in computer vision and medical diagnostics. Research Highlights: Specializes in color and texture analysis for medical imaging, including carotid artery ultrasound segmentation. Developed algorithms like CTex (adaptive unsupervised segmentation) and TV-L1 based histogram equalization. Published in top-tier journals such as IEEE Transactions on Image Processing and Pattern Recognition. Awards & Recognition: Highly Cited Article in IEEE Transactions on Ultrasonics (2014) Top 10 Hottest Pattern Recognition Articles (2011–2013) Professional Activity: Engaged in advancing medical imaging technologies through interdisciplinary collaborations, with a focus on automated diagnostic tools and image enhancement techniques.

Anne V. Sheplerمشاهده پروفایل

استادیار

• Algebra
• Combinatorics
• Geometry
• +۸ مورد دیگر

Anne V. Shepler is an Assistant Professor in the Department of Mathematics at the University of North Texas . Her research spans algebra, combinatorics, geometry, and representation theory , focusing on noncommutative algebra, reflection groups, invariant theory, and Hochschild cohomology. She has secured multiple grants from the Simons Foundation and National Science Foundation and collaborates with mathematicians globally. Interdisciplinary applications of reflection groups in orbifold geometry Quantum algebras derived from group actions Coding theory via complex isometry groups Scientific awards and grants include: Simons Foundation Collaboration Grant (2022-2027) National Science Foundation Standard Research Grants (2008-2014) Alexander von Humboldt Research Fellowship (2009) She advises PhD and Master’s students in mathematics, guiding research in algebra and representation theory. Her work connects algebraic structures to geometric interpretations, fostering collaborations through conferences like TORA (Texas-Oklahoma Representations and Automorphic Forms).

Ryan Berkeمشاهده پروفایل

دانشیار

• Solid Mechanics
• High-Temperature Materials
• Experimental Mechanics
• +۳ مورد دیگر

Dr. Ryan Berke is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Utah State University. His research specializes in mechanical characterization of solids and structures in extreme environments, particularly high-temperature behavior of materials including fracture, fatigue, and creep. He directs a laboratory developing advanced imaging techniques for full-field, in-situ deformation and strain measurements across temperature, time, and length scales. Applications span aerospace, energy, and nuclear industries. His group investigates fundamental deformation mechanisms in high-temperature materials using optical methods like digital image correlation adapted for extreme conditions. Dr. Berke has received multiple awards including the Distinguished Male Ally of Women in Advanced Manufacturing (2024), Springer/Nature Young Investigator Lecture (2023), and Fulbright US Scholars Program (2024). He teaches courses in Solid Mechanics, Experimental Solid Mechanics, and Micro-Mechanisms of Deformation and Failure.