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Nathan MorehouseView profile

Associate Professor

• Visual Ecology
• Sexual Selection
• Coevolutionary Dynamics
• +5 more

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 FinlaysonView profile

Professor

• Color Science
• Computer Vision
• Image Processing
• +3 more

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 NiuView profile

Adjunct Assistant Professor

• Quantum Computing
• Quantum Error Correction
• Quantum Machine Learning
• +5 more

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. GHIȚĂView profile

Lecturer

• Image Processing
• Biomedical Imaging
• Image Segmentation and Analysis
• +3 more

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. SheplerView profile

Assistant Professor

• Algebra
• Combinatorics
• Geometry
• +8 more

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 BerkeView profile

Associate Professor

• Solid Mechanics
• High-Temperature Materials
• Experimental Mechanics
• +3 more

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.

Keigo HirakawaView profile

Professor

• Signal Processing
• Image Processing
• Digital Cameras
• +3 more

Keigo Hirakawa is a full-time Professor and Bernhard Schmidt Chair in Engineering Leadership at the University of Dayton's School of Engineering, Department of Electrical and Computer Engineering. He holds a joint appointment with the Electro-Optics and Photonics program. His academic journey includes a Ph.D. from Cornell University (2005), an M.S. from Cornell (2003), a B.S. from Princeton University (2000), and a Master of Music in Jazz Studies/Piano Performance from the New England Conservatory (2006). His research focuses on signal and image processing, statistical modeling, color image processing, and digital camera pipeline optimization. He is actively involved in professional activities such as serving as an Associate Editor for SPIE's Journal of Electronic Imaging and IEEE Transactions on Image Processing , and participates in the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee. Recent work emphasizes event-based sensing, noise reduction in imaging systems, and advanced spectral imaging techniques. His research has led to innovations like Fourier multispectral imaging and Kalman filter-based particle velocimetry. He teaches courses such as ECE 203, 215, 340, 445, and graduate-level ECE 503 and 595. His laboratories focus on developing next-generation imaging systems and sensor technologies, with applications in aerospace, cybersecurity, and biomedical imaging. Collaborations span industry and academia to address challenges in real-time data processing and high-fidelity image reconstruction.

• Vaccine Development
• Immunology
• Microbiology
• +6 more

Dr. Franklin R. Toapanta Yanchapaxi is an Associate Professor in the Department of Medicine at the University of Maryland School of Medicine. A vaccine immunologist and microbiologist, his research focuses on translational studies of host-pathogen interactions for vaccine design against enteric pathogens like Salmonella Typhi and Shigella flexneri. MD from Universidad Central del Ecuador School of Medicine (1998) PhD from University of Pittsburgh School of Medicine (2006) Postdoctoral Fellow at University of Pittsburgh Center for Vaccine Research (2006-2009) Postdoctoral Fellow at University of Maryland Center for Vaccine Development (2009-2011) His work employs clinical specimens and advanced techniques like flow cytometry and CyTOF to analyze systemic and mucosal immunity in humans, with a focus on identifying correlates of protection for novel vaccine development. He also investigates B cell dysfunction in infants and the elderly to enhance vaccine efficacy in these vulnerable populations. Published research spans vaccine adjuvant optimization (C3d adjuvant), mathematical modeling of immune dynamics, and characterization of immune responses in extremes of age. Collaborations include studies on Shigella vaccine candidates and gut microbiota interactions during infection. Dr. Toapanta’s laboratory works with non-human primate models to explore lamina propria mononuclear cells and mesenteric lymph node responses, bridging preclinical and clinical research. His methodologies integrate multi-color cytometry, computational biology, and translational human challenge studies.

Phil FraundorfView profile

Associate Professor

• Nano-Characterization
• Electronic Materials
• Extraterrestrial Materials
• +6 more

Phil Fraundorf is an Associate Professor of Physics & Astronomy at the University of Missouri-St. Louis (UMSL) and an adjunct faculty member at Washington University in St. Louis. His research focuses on nanoscale materials characterization, extraterrestrial materials analysis, and the development of advanced microscopy techniques. He leads the UM-StL Scanned Tip & Electron Image Lab, pioneering atomic-resolution imaging and nanocrystallography methods. Fraundorf holds a Ph.D. from Washington University and has collaborated extensively with industry (e.g., Monsanto) and academic institutions to advance regional nanotechnology resources. Education B.S. in Physics, St. Louis University (cum laude) M.S. in Physics, Southern Illinois University Edwardsville Ph.D. in Physics, Washington University in St. Louis Research Interests His work spans nano-characterization, electronic/extraterrestrial materials, and information physics. Key areas include: Development of digital darkfield TEM interfaces and lattice imaging techniques Study of presolar graphite onions and carbon rain in stellar atmospheres Statistical inference methods for nanocrystal analysis Relativistic acceleration modeling via metric-first approaches Awards & Recognition Fraundorf has received awards from: National Academy of Sciences (NAS) Schoolzone (education quality recognition) Medinex StudySphere Excellence Award Grants & Collaboration He has secured funding from the Governor's Research Alliance to establish regional nano-microscopy facilities. Collaborations include Washington University's McDonnell Center for Space Sciences and industry partners like Monsanto. Lab & Teams His lab focuses on: Atomic-resolution imaging for Midwest researchers Bayesian analysis of nanocrystal periodicities Development of open-access crystallographic databases

Edward CallawayView profile

Professor

• Neuroscience
• Systems Neurobiology
• Neural Circuits
• +3 more

Edward Callaway, PhD, is a Professor and Principal Investigator in the Systems Neurobiology Laboratory at the Salk Institute for Biological Studies, holding the Vincent J. Coates Chair in Molecular Neurobiology. His research focuses on mapping neural circuits in the brain, particularly the visual cortex and its role in processing visual information. He pioneered viral tracing techniques using modified rabies viruses to study synaptic connections between neurons. Affiliations: Co-Director of the Kavli Institute for Brain and Mind. Education: BS in Biology (Stanford University), PhD in Biology (California Institute of Technology), Postdoctoral Fellow at Rockefeller University. His work uncovers how neural circuits organize to enable perception and cognition, with applications to diseases like schizophrenia and autism. Key innovations include tools for tracing brain-wide connections and studying epigenomic diversity in neurons. Research Interests: Neural circuit mapping, visual processing, viral circuit tracing, epigenomics, and the structural basis of brain function. Recent studies explore cortical circuits, thalamic pathways, and the interplay between cell-type specificity and connectivity. Articles Overview: Recent publications focus on corticothalamic circuits, epigenomic analysis of neurons, and viral tracing techniques. Studies highlight the organization of visual pathways and the role of specific cell types in neural computation. Awards: National Academy of Sciences (2019), Krieg Cortical Discoverer Award (2013), American Academy of Arts and Sciences (2012). Advising & Grants: Supervises a lab of ~12 graduate students and postdocs, including projects on circuit tracing and optogenetics. Collaborates internationally on projects like the BRAIN Initiative. Labs/Teams: The Callaway Lab at Salk employs interdisciplinary approaches, combining viral tools, electrophysiology, and genomics to dissect cortical function.

Mark B. WatsonView profile

Professor

• Conservation Biology
• Amphibian Ecology
• Plant Physiology
• +5 more

Mark B. Watson is Professor of Biology and Chair of the Natural Science Department at the University of Charleston, with over three decades of academic experience spanning plant physiology and Appalachian amphibian conservation. Education: B.S. in Biology and Botany, Marshall University (1986) M.S. in Biology, Marshall University (1988) Ph.D. in Botany, University of Georgia (1996) Post Doctoral Fellowship, Penn State University His research integrates molecular plant stress physiology with field-based conservation biology, focusing on woodland salamander responses to habitat destruction and invasive species, alongside pollutant effects on fern life cycles. Early work centered on polyamine metabolism in Arabidopsis , evolving into regional amphibian studies. Publication trends reveal a strategic shift from 1990s plant biochemistry (polysaccharides, polyamine enzymes) to 2000s field ecology, with 15 peer-reviewed works culminating in Appalachian salamander conservation guides and experimental acidification studies. Dr. Watson actively mentors undergraduates through hands-on research, supervising projects from antimicrobial resistance testing to invasive species impact assessments, emphasizing real-world environmental problem-solving in West Virginia ecosystems. Outside academia, he engages in church activities, fishing, hunting, nature photography, and traditional Irish music performance on mandolin and bouzouki.

• Steganography
• Digital Watermarking
• Biometric Data Security
• +3 more

Karen Bailey is a Lecturer in Science and Computing in the Department of Life & Physical Sciences. Her research focuses on steganography, digital watermarking, and biometric data security, with contributions to signal processing and information security. She has published widely on techniques enhancing data protection in digital media and IoT environments. Her work intersects interdisciplinary fields such as cybersecurity, blockchain applications in food traceability, and cryptographic methods for secure fingerprint imaging. Notable outputs include a 2023 paper on IoT trustless environments and a 2018 review on steganography in biometric data. Bailey collaborates on global research projects, contributing to over 300 citations. Her recent studies explore blockchain's role in supply chain transparency and advanced steganographic methods for multimedia security.

• Ecology
• Parasitology
• Animal Behavior
• +4 more

Dr. Claire Fuller currently serves as Dean of the Jones College of Science, Engineering, and Technology and Professor of Biological Sciences at Murray State University. She holds a BA in General Biology from the University of California, San Diego, and MS/PhD in Zoology from Oregon State University under Dr. Andrew Blaustein. Her research focuses on ecological immunology, parasitism in social insects (e.g., termites), and environmental impacts on animal behavior and population dynamics. Research interests include: Parasite-host interactions in tropical termites Climate change effects on termite immunity Aquatic pollution impacts on dragonfly immunity Behavioral modifications induced by parasites Recent publications highlight work on Atrazine effects in dragonflies (2018), termite environmental adaptations (2014), and acanthocephalan parasite impacts (2003-2004). Funding sources include NSF, Howard Hughes Institute, and Kentucky EPSCOR grants. Advises numerous graduate/undergraduate researchers and collaborates with institutions like Northeastern University. Active in teaching courses such as Animal Behavior, Biological Inquiry, and Ecology.

Victoria AndreasenView profile

Researcher

• Wildlife Disease
• Veterinary Pathology
• Mitochondrial Physiology
• +3 more

Victoria Andreasen is a Researcher in the Department of Population Health at the University of Georgia's College of Veterinary Medicine, affiliated with the Southeastern Cooperative Wildlife Disease Study (SCWDS). Her research focuses on wildlife health, mitochondrial physiology, and the impacts of stress and infection on animal systems. She specializes in investigating diseases affecting wildlife populations, including parasitic, fungal, and bacterial infections, with a particular emphasis on avian and mammalian species. Her work integrates pathology, ecology, and physiology to understand disease dynamics in natural populations. Notable areas include toxoplasmosis in lagomorphs, aspergillosis in birds, and the physiological consequences of stress during reproduction. Her recent studies highlight mitochondrial function as a key determinant of stress resilience and disease outcomes. Andreasen’s articles reflect a multidisciplinary approach to wildlife health, with trends in analyzing pathogen impacts, stress physiology, and avian health. Her research contributes to both diagnostic advancements and conservation efforts. She collaborates with SCWDS to address wildlife disease surveillance at regional and national scales. While no formal advisees are listed, her involvement in research labs and field studies suggests active engagement with student researchers. Grants and funding sources are not detailed in the provided information.

• Biomedical Engineering
• Medical Imaging
• Nanophotonics
• +3 more

Young Kim is a Professor of Biomedical Engineering at Purdue University's College of Engineering, with affiliations in the Global Engineering Program. Their research focuses on integrating nanophotonics, biomedical optics, and wearable health technologies. Key areas include non-invasive blood hemoglobin assessments via smartphone-based imaging, photonic nanomaterials for medical applications, and biomimetic optical systems inspired by natural materials like silk. Kim has pioneered technologies such as mHealth diagnostics for anemia and malaria, quantum-based security apparatuses, and machine-learning-enabled wearable sensors for dietary monitoring. Education details are not explicitly provided, but their work demonstrates expertise in interdisciplinary biomedical engineering. Research interests emphasize translating optical and material innovations into clinical tools, with a focus on global health equity through accessible diagnostics. Over 15 recent publications span advancements in spectral imaging, wearable health solutions, and security systems leveraging optical physics. No specific awards are listed, but their contributions to mHealth and nanophotonics reflect impactful work in the field. Advising and grants are not detailed here, but their active research portfolio suggests involvement in funding initiatives. Lab activities likely center on biomedical optics, wearable technology development, and biomaterials engineering with applications in diagnostics and security.