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Hetal BuckhurstView profile

Associate Professor

• Optometry
• Vision Science
• Ocular Biomechanics
• +3 more

Dr Hetal Buckhurst is an Associate Professor in Optometry at the School of Health Professions, University of Plymouth . She has supervised multiple PhD students since 2012, focusing on ocular biomechanics, refractive errors, and vision screening technologies, and leads the myopia control clinics at the Centre for Eyecare Excellence. Teaching modules: Geometric and Physical Optics (OPT405), Visual Optics (OPT406), and Clinical Optometry Skills (OPT402) Established myopia control clinics at the Centre for Eyecare Excellence since 2018 Her research interests span vision science , including corneal astigmatism correction, anterior segment biomechanics, and computer vision syndrome with smart devices. As School of Health Professions Senior Tutor (2019-present), she oversees academic governance and serves on the Admissions team (2019-present).

Sam GilliesView profile

Academic

• Electronic Music
• Experimental Film
• Sound Art
• +3 more

Sam Gillies is a Senior Research Fellow at the Department of Media, Humanities and the Arts, University of Huddersfield. He is affiliated with the Centre for Research in New Music and the Centre for Experimental Practices (CXP). His work focuses on experimental music, sound art, and digital archiving, with a particular interest in 20th-century avant-garde compositions and their revival through live performances and archival projects. Gillies has organized major events like the Electric Spring Festival and contributed to projects such as 'TAAT: Determining the best approach, scale and feasibility for new toolsets in analysing large tape archives' (2025–2026) and 'Ernest Berk: An Expressionist Outsider' (2023–2027). His research outputs include curated exhibitions, live music performances, and artefacts such as the 'Diversed Tapes: Electronic Music of Ernest Berk' (2024) and the digital archive 'The Gerhard Machine'. Gillies has served as an external PhD examiner at Monash University and actively participates in international conferences and workshops, emphasizing collaborative approaches to musicology and experimental media. Key projects involve reviving neglected works of composers like Ernest Berk and Roberto Gerhard, blending historical scholarship with contemporary performance practices. His activities highlight interdisciplinary methods, combining acoustic composition with digital archiving, and fostering innovation in live electronic music diffusion.

Allan DobbinsView profile

Associate Professor

• Neural Basis of Visual Perception
• Attention
• Traumatic Brain Injury
• +3 more

Allan Dobbins, Ph.D., is an Associate Professor with expertise in the neural basis of visual perception, attention, and traumatic brain injury (TBI). His research integrates computational neuroscience with experimental methods such as functional MRI and magnetoencephalography (MEG) to study brain networks and their temporal dynamics. He collaborates with experts in mechanics, materials science, and medicine to investigate TBI mechanisms, particularly in sports-related contexts. Education : - Ph.D. in Computational Vision from McGill University - Postdoctoral training in Visual Neuroscience at Caltech Research Interests : Dobbins explores how the brain constructs perceptual interpretations through neural circuits and dynamics. Recent work focuses on task-specific brain network assembly and TBI modeling using biomechanical simulations. His contributions include studies on perceptual inference failures, mesoscale brain modeling, and tau protein accumulation in NFL players. Publications Trends : His work bridges computational models with neuroimaging, emphasizing biomechanical trauma mechanisms and visual perception intricacies. Key themes include binocular vision dynamics, alpha rhythm-brain network interactions, and bistable perception phenomena. Professional Collaborations : Collaborates across disciplines to address TBI through multi-scale modeling and experimental validation. Engages in sports medicine and material science partnerships to improve injury prevention and clinical understanding.

• Mathematics Education
• Teacher Professional Development
• Classroom Discourse
• +3 more

Michelle Cirillo is a Professor in the Department of Mathematical Sciences at NJIT. She specializes in mathematics education with a focus on teacher professional development, classroom discourse, and educational technology. Her work includes leading NSF-funded projects such as Supporting Teachers to Teach Mathematics Through Problem Posing (2021–2026) and CAREER: Proof in Secondary Classrooms (2015–2023). She has authored/co-authored over 17 research outputs, emphasizing themes like active learning models, video-conferencing in education, and geometric proof competencies. Her contributions span editorial roles, grants, and professional development curricula for secondary mathematics teachers. Notable projects include the NSF-funded Mathematics Discourse in Secondary Classrooms (M-DISC) (2009–2017), which developed case-based professional development materials. Current research explores early field experiences for prospective mathematics teachers and the role of technology in mathematics instruction. Michelle has been awarded grants totaling millions from the National Science Foundation and collaborates internationally. Her research has been cited 213 times, reflecting significant influence in the field. Media engagements include advice on online secondary math teaching and recognition of student achievements in mathematics.

Frank FerraroView profile

Associate Professor

• Natural Language Processing
• Probabilistic Modeling
• Unsupervised Learning
• +5 more

Frank Ferraro is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). His research focuses on natural language processing, probabilistic modeling, and multimodal systems. He holds a PhD in Computer Science from Johns Hopkins University (2017), an MSE from the same institution (2013), and dual BS degrees in Computer Science and Mathematics from the University of Rochester (2011). His research interests include event modeling, unsupervised learning strategies, and the application of large language models (LLMs) to cybersecurity, robotics, and knowledge graph consistency. Recent work explores malware detection via Yara rules, ethical AI in robotics, and interactive dashboards for multimodal situation awareness. Ferraro’s contributions span foundational NLP techniques and applied systems like the PASTA dataset for narrative analysis and the MUMOSA interactive visualization tool. He has published extensively on topics ranging from grounded language learning to distributed classification algorithms. His work bridges theoretical advancements and practical applications, often emphasizing scalability and explainability. Ferraro’s lab develops systems for human-robot interaction, virtual environments, and collaborative AI frameworks. For more details, visit his website .

André SchulzView profile

Professor

• Graph Theory
• Computational Geometry
• Algorithm Design
• +3 more

Prof. André Schulz is a Professor at the Faculty MI, Department of Theoretical Computer Science, Distance University. His research focuses on graph theory, computational geometry, and algorithm design, with a strong emphasis on geometric graphs, graph drawing algorithms, and topological representations. He has published extensively in top-tier journals and conferences such as Discrete & Computational Geometry , Journal of Graph Algorithms and Applications , and Graph Drawing and Network Visualization . His work spans topics like adjacency graphs of polyhedral surfaces, Lombardi drawings of knots, and experimental analysis of graph visualization techniques. He collaborates internationally, co-authoring over 30 peer-reviewed articles since 2015. His research addresses challenges in geometric algorithms, graph embeddings, and combinatorial optimization, with applications in social network analysis and geometric topology. Key contributions include minimizing geometric primitives in planar graph drawings and developing efficient algorithms for 1-planar and cubic graphs. His recent work (2023–2024) explores orthogonal circle arrangements and schematic hypergraph layouts. Despite no explicit mention of awards or grants, his prolific publication record underscores his academic influence.

• Developmental Psychology
• Memory Development
• Educational Psychology
• +3 more

Michelle Leichtman is a Professor in the Psychology Department at the University of New Hampshire. Her research focuses on developmental psychology with an emphasis on memory development in educational and cultural contexts. She holds a B.A. in Psychology from Wellesley College and an M.A. and Ph.D. in Developmental and Child Psychology from Cornell University. Her work explores how cultural contexts influence memory formation, particularly in children, with studies conducted in diverse settings including Turkey, China, and the U.S. Key themes include parent-child communication patterns, the role of residential transitions on memory, and the impact of educational interactions on cognitive development. She has published extensively on topics such as reminiscence bumps, episodic memory in early childhood, and cross-cultural differences in autobiographical narratives. Leichtman teaches courses such as Research Methods in Psychology, Graduate Pro-seminar, and Social Development. Her recent publications highlight advancements in understanding how environmental and social factors shape memory development, with 2024 studies examining negative life events' impact on memory consolidation and 2023 research on residential moves influencing childhood recollections. Her scholarship bridges developmental, cultural, and educational psychology, emphasizing the interplay between cognitive processes and sociocultural environments. She has collaborated internationally, contributing to global dialogues on memory development through comparative studies across different cultural frameworks.

Zygmunt PizloView profile

Professor

• 3D Shape Perception
• Computational Vision
• Mathematical Psychology
• +4 more

Zygmunt Pizlo is a Professor and Falmagne Endowed Chair in Mathematical Psychology at the Department of Cognitive Sciences, University of California-Irvine. His research focuses on 3D shape perception, computational vision, and the principles underlying human and machine perception. He holds a Ph.D. in Psychology from the University of Maryland and prior degrees in Electrical Engineering from Poland. Pizlo’s work emphasizes symmetry, complexity, and veridicality in shape perception, proposing that the human visual system employs global constraints like symmetry to infer 3D structure from 2D images. His academic lineage traces back to notable mathematicians, and his contributions include pioneering theories on shape constancy, the Traveling Salesman Problem (TSP), and binocular vision models. He co-founded the ViPER Lab, where research explores 3D shape recovery and computational models of perception. Pizlo’s books, such as *3D Shape* (MIT Press, 2008) and *Making a Machine That Sees Like Us* (Oxford, 2014), synthesize his interdisciplinary approach. He collaborates with institutions like the Center for Theoretical Behavioral Sciences and organizes conferences on interdisciplinary vision research. Key themes in Pizlo’s research include the role of symmetry and a priori constraints in perception, the integration of global and local visual cues, and the application of psychological principles to AI. His work bridges cognitive psychology, mathematics, and engineering, aiming to create machines that emulate human visual capabilities.

Yakov DiskinView profile

Adjunct Professor

• Computer Vision
• Object Detection and Tracking
• 3D Reconstruction
• +4 more

Yakov Diskin is an Adjunct Professor in the Department of Electrical and Computer Engineering within the School of Engineering at the University of Dayton. He holds a Ph.D. and M.S. in Electrical Engineering from the University of Dayton, and a B.S. in Computer Engineering from Old Dominion University. His research focuses on computer vision applications including object detection, 3D reconstruction, aerial tracking, and image enhancement. He specializes in algorithms for aerial surveillance, aero-optics simulation, and atmospheric characterization. Dr. Diskin has extensive publication experience with 51 publications in signal processing and computer vision. He teaches courses including EGR 203: Electronic Circuits and ECE 595: Advanced Image Processing. His professional activities include serving as technical reviewer for multiple journals including the Journal of Electronic Imaging and Optical Engineering.

Charles BurnettView profile

Professor

• History of Science
• Islamic Studies
• Medieval Manuscripts
• +3 more

Charles Burnett is Professor of the History of Islamic Influences in Europe at the Warburg Institute, University of London. His research examines the transmission of philosophy, science, and medicine from Islamic world to Medieval and Renaissance Europe through Arabic-to-Latin translations created in Spain, Sicily, and Crusader States. Burnett investigates the cultural contexts of translators, the incorporation of Arabic authorities in medieval university curricula, and early European engagement with the Qur'an. His scholarship spans Arabic and Latin manuscript traditions, focusing on scientific texts covering astronomy, astrology, mathematics, and magic. Burnett directs major projects including 'The Origin and Early Development of Philosophy in Tenth-Century al-Andalus' (PhilAnd) and edits critical editions of influential scientific texts. He teaches courses on cross-cultural knowledge exchange and manuscript studies. Burnett's research extends to the European reception of Asian thought through Jesuit missionaries, analyzing European perceptions of Eastern Christianity. He maintains editorial responsibilities for several academic series and has supervised doctoral research on diverse topics including Arabic magic texts and medieval scientific illustrations.

Ana ClementeView profile

Researcher

• Cognitive Neuroscience
• Aesthetics
• Creativity
• +3 more

Ana Clemente is a postdoctoral researcher at the Max Planck Institute for Empirical Aesthetics (Germany) and McGill University (Canada), specializing in cognitive neuropsychology and auditory cognitive neuroscience. She holds a Ph.D. in Human Evolution and Cognition from the University of the Balearic Islands (Spain) and an M.Mus. in Solo Performance from the Robert Schumann Hochschule Düsseldorf (Germany). Her research focuses on creativity, aesthetic sensitivity, multisensory integration, and the neuroscientific basis of evaluative judgment. Key academic roles include a Margarita Salas Postdoctoral Fellowship (2022–23) and a La Caixa INPhINIT Doctoral Fellowship (2017–21). She has held teaching positions at music conservatories in Spain, including roles as Head of Department and Erasmus Program Coordinator. Her work spans high-impact journals like Psychology of Aesthetics, Creativity, and the Arts and Emotion , with a focus on audiovisual aesthetics, perceptual mediation of liking, and curvature effects in visual perception. She received the Frank X. Barron Award (2022) for her doctoral thesis on aesthetic sensitivity. Active in interdisciplinary research, Ana has collaborated with institutions like KTH Stockholm and Queen Mary University of London. Her current projects explore hedonic evaluation of multisensory objects and the biocultural evolution of aesthetic preferences.

• Computer-Aided Design
• Geometric Reconstruction
• Sketch-Based Modeling
• +2 more

Ana Piquer Vicent is an Associate Professor in the Department of Mechanical Engineering and Construction at Universitat Jaume I. She teaches courses in Engineering Graphics, Computer-Aided Design, and Engineering Projects. Her office is located in despacho TC 2319 DD. Her research specializes in: 3D reconstruction from 2D sketches Geometric modeling algorithms Computer vision for engineering design Optimization techniques in CAD Sketch-based interfaces She leads research in the REGEO group focusing on 3D reconstruction of line drawings. Her doctoral thesis addressed artificial perception of line drawings, developing novel methods for converting 2D sketches into 3D models using optimization techniques and symmetry detection.

• Artificial Intelligence
• Information Theory
• Sensor Evolution
• +2 more

Daniel Polani is Professor of Artificial Intelligence at the University of Hertfordshire, leading research in adaptive systems and cognitive architectures. His work integrates information theory with robotics to model intelligent decision-making processes in biological and artificial systems. Core research themes: Information-theoretic foundations of cognition Embodied intelligence in robotics Intrinsic motivation systems Perception-action loop modeling Recent publications (2023-2025) explore robot learning with Lyapunov stability, decentralized traffic optimization, and information-theoretic analysis of cognitive systems. Research advances principled approaches to AI that mimic biological information processing.

John BeaverView profile

Professor

• Photography
• Physics
• Art and Science Intersections
• +3 more

John Beaver is a Professor at the Fox Cities Campus of the University of Wisconsin–Oshkosh, specializing in the intersection of photography, physics, and art. His research explores interdisciplinary methodologies that bridge scientific principles with artistic expression, particularly focusing on light physics, detector technologies, and DIY photographic processes. He has authored numerous works analyzing the philosophical and technical dimensions of photography, including its historical techniques and modern digital advancements. Research Interests include the geometry of light, energy dynamics in photography, and the material science of photographic processes. His recent work emphasizes 'ephemeral process' photography and the artistic representation of scientific concepts like energy and exposure. He has also contributed to astronomical photography and detector technology research. Publications span 40+ years, with a focus on 2022-2024 articles exploring light physics, art-science synthesis, and detector innovation. His early works include studies on comets and open star clusters, demonstrating a sustained engagement with both artistic and scientific domains. Awards : No awards explicitly mentioned in the provided texts. Grants & Labs : No specific grants or lab affiliations detailed in the text. His work often involves low-cost experimental setups, such as DIY spectrometers and pinhole cameras.

Norbert PalzView profile

Professor

• Digital Design
• Additive Manufacturing
• Computer Art
• +3 more

Prof. Dr. Norbert Palz is Professor for Digital and Experimental Design at Berlin University of Arts, where he served as President (2020-2025). His research explores digital fabrication processes, large-format additive manufacturing, and computational design methods. Education includes architecture studies at TU Berlin following a draftsman apprenticeship. Professional experience includes work with UN Studio, NOX Architects, and founding TARGADESIGN (art/architecture practice). Research contributions include EU Horizon 2020 projects on textile architectures and investigations into historical construction geometries for digital pedagogy. Current investigations focus on material behavior in large-scale 3D printing applications and computer art's architectural implications.