جست‌وجوی استاد و پژوهشگر

Minoru Koyamaمشاهده پروفایل

استادیار

• Neurobiology
• Developmental Biology
• Animal Biology
• +۴ مورد دیگر

Minoru Koyama is an Assistant Professor in the Department of Cell & Systems Biology at the University of Toronto Scarborough (UTSC). His research focuses on understanding the neural circuit mechanisms underlying behavioral development, particularly in zebrafish models. He employs advanced techniques such as optogenetics, voltage imaging, and CRISPR-based methods to study circuit maturation in the hindbrain and spinal cord. Education: Koyama holds a Ph.D. (2006), M.Sc. (2002), and B.Sc. (2000) in Biological Sciences from the University of Tokyo. Research Interests: His work investigates how neural circuits mature post-birth and contribute to complex behaviors, with applications to developmental brain disorders. His lab uses zebrafish as a model system, combining optics, genetics, and machine learning for behavioral analysis. Key projects include studying motor coordination development and refining imaging techniques like multi-plane microscopy and voltage indicators. Publications Highlight: Koyama’s recent work includes innovations in microscopy (e.g., HiLo speckle illumination) and genetic tools (e.g., TEMPO lineage tracing). These advancements enable precise observation of neural circuits and cellular dynamics. Lab & Recruitment: The Koyama Lab actively recruits graduate students and postdoctoral researchers. No specific grants are detailed, but his work reflects broad interdisciplinary collaborations in neuroscience and biotechnology. Labs/Teams: His lab focuses on developmental neurobiology, leveraging cutting-edge imaging and genetic engineering to explore neural circuit function across vertebrate development.

Avniel Singh Ghumanمشاهده پروفایل

دانشیار

• visual cognition
• neural dynamics
• face recognition
• +۶ مورد دیگر

Dr. Avniel Singh Ghuman is an Associate Professor in the Department of Neurological Surgery at the University of Pittsburgh School of Medicine. He serves as Director of the Cognitive Neurodynamics Lab and plays a key role in advancing MEG (Magnetoencephalography) Research at the university. His work bridges clinical neurosurgery with fundamental neuroscience research to understand visual perception mechanisms. Dr. Ghuman's educational background includes: BA in Math and Physics from The Johns Hopkins University (1998) PhD in Biophysics from Harvard University (2007) Postdoctoral training at the National Institute of Mental Health Dr. Ghuman's research focuses on how the brain transforms visual input into meaningful perception of objects, faces, words, and social images in real-world contexts. His laboratory employs both invasive (intracranial EEG) and non-invasive (MEG) techniques to examine the spatiotemporal dynamics of neural activity during visual processing. The lab integrates multivariate machine learning methods, network analysis, and direct neural stimulation to investigate information processing at both local brain regions and distributed network levels. Recent work has pioneered methods for studying brain activity during authentic social interactions and natural behavior. His publication record demonstrates significant contributions to understanding real-world face perception, neural dynamics during natural behavior, and the application of advanced analytical techniques to brain imaging data. His research has revealed how brain network dynamics form a 'punctuated equilibrium' of stable states with transitory bursts between them, coinciding with behavioral shifts in everyday activities. Dr. Ghuman has received notable recognition for his work: Young Investigator Award from NARSAD (2012) Award for Innovative New Scientists from the National Institute of Mental Health (2015) His research has been featured in prominent media outlets including MIT Technology Review, The Wall Street Journal, and Carnegie Mellon University publications. As Director of the Cognitive Neurodynamics Lab, Dr. Ghuman leads a research program that has advanced our understanding of how the brain processes visual information in real-world environments, with implications for both fundamental neuroscience and clinical applications.

• Neurobiology
• Neuroscience
• Cortical Plasticity
• +۴ مورد دیگر

Joshua Trachtenberg is a Professor in the Department of Neurobiology at the School of Medicine, University of California Los Angeles (UCLA) . His research focuses on understanding how early sensory experiences shape synaptic and network connectivity in cortical circuits, particularly in the visual system. Key Research Areas: Mechanisms of experience-dependent cortical plasticity Role of vision in neural circuit development Molecular pathways in autism-related models Inhibitory interneuron dynamics Long-term in vivo imaging of dendritic spines Recent Publications highlight studies on dendritic spine clustering, critical period plasticity, and retinal cell type evolution, with methodologies spanning multi-photon imaging and single-cell transcriptomics. Funding Highlights: NIH R01EY027407 (Disinhibition & Visual Plasticity) NIH R01EY023871 (Inhibitory Circuit Regulation) NIH R01MH082935 (PTEN-Associated Autism Models) Labs & Collaborations include work with the Silva, Golshani, and Geschwind groups, focusing on synaptic stability, cortical dysfunction, and autism-related protein studies.

Gerhard Weberمشاهده پروفایل

استاد

• Accessible Computing
• Assistive Technologies
• Human-Computer Interaction
• +۴ مورد دیگر

Prof. Gerhard Weber holds the Chair in Human-Computer Interaction at Technische Universität Dresden, Germany. Previously, he served as Chair for Human-Centered Interfaces at Christian-Albrechts-Universität zu Kiel (2000–2007) and Professor for Operating Systems and Graphical User Interfaces at Harz University of Applied Sciences (1996–2000). His research focuses on accessible computing, assistive technologies, haptics, and multimodal interaction. Key projects include development of tactile charts (SVGPlott), robotic guidance systems (HapticRein), and indoor navigation solutions for visually impaired users. Current work explores voice interfaces for social robots, autism-inclusive technologies, and accessibility maturity models for higher education institutions. Over 70 publications span conferences like CHI, IEEE, and ACM, emphasizing practical applications in assistive tech. Education & Professional Journey: 2007–Present: Chair in Human-Computer Interaction, TU Dresden 2000–2007: Chair for Human-Centered Interfaces, Kiel University 1996–2000: Professor of Operating Systems and GUIs, Harz University Research Interests: Prof. Weber's work bridges theory and practice in accessibility, emphasizing tactile interfaces, inclusive design, and assistive robotics. Recent projects include: Mosaik : Enabling blind users to create and share graphics via audio-tactile tools Cloud4All : Personalized web accessibility solutions Range-IT : Real-time object detection for navigation aids Advising & Grants: Managed €3.2M in EU and national grants (2011–2020) Supervised 12+ graduate projects on assistive tech Labs & Teams: Leads TU Dresden's Human-Computer Interaction Lab, collaborating with industry partners like Siemens and rehabilitation centers to deploy assistive systems in real-world settings.

• Developmental Psychology
• Cognitive Neuroscience
• Language Acquisition
• +۴ مورد دیگر

Judit Gervain is a Full Professor at the Department of Developmental and Social Psychology at the University of Padua, Italy, and a CNRS Senior Research Scientist (Directeur de Recherche) at the Integartive Neuroscience and Cognition Center (CNRS & Université Paris Descartes), Paris, France. Her research focuses on early speech perception, language acquisition in monolingual and bilingual infants, and the neural mechanisms underlying language learning. She pioneered studies on newborn speech perception using near-infrared spectroscopy (NIRS), revealing prenatal influences on perceptual abilities and the emergence of grammatical structures in preverbal infants. Education: PhD in Cognitive Neuroscience (2002, SISSA, Trieste), postdoctoral research at the University of British Columbia (2007–2009), and CNRS researcher since 2009. She has authored over 100 peer-reviewed articles in journals like Science Advances , Nature Communications , and Developmental Science . Research Interests: Infant language processing, bilingualism, neuroimaging techniques (fNIRS), and comparing infant learning trajectories to artificial intelligence systems. Her work bridges developmental psychology, neuroscience, and computational linguistics, emphasizing the role of innate biases and environmental input in language acquisition. Her recent studies explore how infants’ learning mechanisms differ from Large Language Models (LLMs), focusing on input requirements, critical periods, and the role of multimodal integration. She also investigates the impact of prenatal auditory experience on neonatal speech perception and the neural foundations of linguistic structure detection. Labs/Teams: Affiliated with the CNRS’s Integartive Neuroscience and Cognition Center and the University of Padua’s developmental psychology group. Serves as associate editor for Developmental Science and Neurophotonics .

• Bioengineering
• Systems Glycobiology
• Thrombosis & Hemostasis
• +۳ مورد دیگر

Sriram Neelamegham is the UB Distinguished Professor of Chemical & Biological Engineering, Biomedical Engineering, and Medicine at the University at Buffalo, SUNY. His research focuses on applying engineering principles to study molecular mechanisms of blood cell interactions in diseases such as inflammation, thrombosis, and cancer. He leads the Bioengineering Laboratory within the School of Engineering and Applied Sciences. Education: PhD in Chemical/Biomedical Engineering, Rice University, 1996 B.Tech in Chemical Engineering, Indian Institute of Technology Delhi, 1991 Research Interests: Systems Glycobiology: Investigating glycan biosynthesis and its role in disease Leukocyte and Platelet Adhesion Dynamics under Fluid Flow Von Willebrand Factor (VWF) Structure-Function Relationships Engineering Glycoengineered Therapeutics and Diagnostic Tools Key Contributions: Developed computational models and experimental tools for glycosylation pathway analysis Discovered mechanisms of VWF conformational changes under shear stress Pioneered glycoengineering strategies for stem cell targeting Awards & Recognition: NIH Independent Scientist Award (2015) SUNY Chancellor's Award for Excellence (2015) AIMBE Fellow (2012) and BMES Fellow (2019) 2018 Schoellkopf Medal (ACS) Lab Activities: Recruitment of postdocs, full-time, and part-time research technicians Development of glycan-engineered technologies for drug delivery and diagnostics Collaborations with biomedical industries and academic institutions

Nalin Arachchilageمشاهده پروفایل

دانشیار

• Cyber Security
• Human-Computer Interaction (HCI)
• Software Engineering
• +۵ مورد دیگر

Associate Professor Nalin Arachchilage is a leading academic in Cyber Security at RMIT University's School of Computing Technologies. He holds an honorary role at the University of Warwick and advises DEFSAFE Cyber Security Inc. His research focuses on usable security, privacy engineering, and AI-driven cybersecurity solutions. Key roles include revamping RMIT's Master of Cyber Security program and leading the Usable Security Engineering group at UNSW ADFA. Education: PhD in Cyber Security (Brunel University), Postdocs at Oxford and UBC. Research spans interdisciplinary areas including HCI, machine learning for threat modeling, and serious games for security education. He has published extensively in top venues like ACM CCS and SOUPS, contributing to global standards like OWASP. Leadership: Previously Assistant Head of School (Research) at the University of Auckland, and Director of the MProfStuds in Digital Security. Active in program committees for major conferences (ACM CCS, SOUPS). Current supervision includes 5 PhD students across RMIT and Auckland. Media Impact: Featured in Sky News Australia, ABC, and TVNZ. Collaborations with HP and Facebook. Awards include impactful contributions to security frameworks and standards. Teaching: Coordinates courses like INTE2625 (Cyber Security) and COSC2738 (Human-Centric Cyber Security). Supervises projects on topics like blockchain security and responsible AI. Non-Academic Roles: Chair of the Academic Board at Canberra Business & Technology College (2020-2021). Advisor to DEFSAFE, focusing on novel cyber-security products.

• Neuroplasticity
• Visual Systems
• Neural Circuits
• +۵ مورد دیگر

Dr Jennifer Sun is a Lecturer at the UCL Institute of Ophthalmology, leading the Visual Plasticity Lab. Her research investigates how visual cortex integrates sensory and modulatory inputs to regulate neuroplasticity, with applications in vision recovery from aging, injury, and neurological disorders. PhD: University of Southern California (Circuit Computation, Sensory Cortical Development) Postdoc: University of California, San Francisco (Molecular Techniques, Electrophysiology, 2-Photon Imaging) Research interests focus on neuroplasticity mechanisms in visual systems using genetic, physiological, and computational approaches. Key areas include local circuit dynamics, brain region crosstalk, neuron-glial interactions, and translating findings into therapies via collaborations with clinicians at Moorfields Eye Hospital. Teaching roles include supervising PhD students (LiDo, Optical Biology, UCL-Birkbeck MRC DTP) and Master's students (MRes Brain Science, MSc Neuroscience). She organizes UCL's Visual Neuroscience (NEUR0017) and Systems and Circuit Neuroscience (ANAT0020) modules, plus Cold Spring Harbor's international Neural Data Science summer course. Labs/teams: Visual Plasticity Lab (UCL Institute of Ophthalmology), collaborating with Sainsbury Wellcome Centre, UCL bioengineers, and Moorfields Eye Hospital clinicians to explore health-disease plasticity differences.

Hazar Dibمشاهده پروفایل

دانشیار

• Building Information Modeling (BIM)
• Information Systems
• Knowledge Management
• +۷ مورد دیگر

Hazar Dib is an Associate Professor at the School of Construction Management Technology, Purdue Polytechnic Institute, Purdue University. His work bridges Building Information Modeling (BIM) , knowledge management , and interactive learning technologies to advance construction education and process efficiency. Ph.D. in Building Construction (2007, University of Florida) MSc. in Civil Engineering (2002, University of Balamand) BSc. in Civil Engineering (2000, University of Balamand) Research Interests focus on: BIM lifecycle integration AI/knowledge-based systems for construction Digital tools for surveying and steel connection education Collaborative communication frameworks Sustainability metrics in building practices Human factors in technology adoption Scientific Awards include multiple Charles B. Murphy Awards for undergraduate teaching and the Society of Leaders in Construction induction. His NSF-funded projects like VELS (Virtual Environment for Learning Surveying) and Steel Connection Teaching Tool highlight his innovation in STEM education . Articles span serious games , visual learning , and BIM maturity assessments , reflecting his interdisciplinary approach.

Jan G. Bjaalieمشاهده پروفایل

استاد

• Neuroinformatics
• Digital brain atlasing
• Brain architecture and connectivity
• +۴ مورد دیگر

Jan G. Bjaalie is Professor of Neuroinformatics and Dean of Research and Innovation at the University of Oslo Faculty of Medicine . Since 2023 he heads the faculty’s research and innovation strategy, while directing the Neural Systems and Graphics Computing Laboratory at the Institute of Basic Medical Sciences. Education: 1990 Ph.D. in Neuroanatomy, University of Oslo 1986 M.D., University of Oslo Research interests revolve around collaborative and open neuroscience, digital brain atlasing, and the cyber-infrastructures that enable data sharing. He leads efforts to build next-generation atlases that integrate multi-scale brain architecture and connectivity data, and to develop ontologies and FAIR-compliant platforms for global neuroscience. Recent work emphasizes in silico integration of rodent and human imaging datasets, leveraging machine-learning registration tools and cloud-based services such as EBRAINS. The goal is to transform how brain data are stored, visualised and reused across laboratories worldwide. Scientific output & impact: A scan of publications from 2023-2025 reveals a strong focus on digital atlas frameworks, automated image registration (DeepSlice, DeMBA), open data standards (AtOM ontology), and large-scale analyses of genetic influences on brain structure in Alzheimer’s models. These works collectively advance reproducible, high-throughput neuroanatomy and cross-species translation. Grants & leadership roles: Coordinator/Partner in EU Flagships EBRAINS 2.0, BRAIN Health, Human Brain Project (2013-2026) Infrastructure Director, Human Brain Project (2018-2023) Leader of Neuroinformatics Platform & EBRAINS Data Services (2017-2023) Head of Institute of Basic Medical Sciences (2009-2016) Executive Director, International Neuroinformatics Coordinating Facility (INCF) (2006-2008) Chair, International Brain Initiative (2021-) Editorial & governance service: Founding Chief Editor Frontiers in Neuroinformatics (2007-), Section Editor Brain Structure and Function (2002-2020), member of the INCF Governing Board and EBRAINS AISBL Management Board, and numerous international advisory panels on data governance and ethics. His laboratory hosts the Norwegian Neuroinformatics Node and collaborates closely with global consortia to deliver open-access atlases, software pipelines and FAIR data standards that underpin modern neuroscience.

• Plant Genetics
• Crop Biodiversity
• Breeding Informatics
• +۵ مورد دیگر

Karl Schmid is a W3 Professor of Crop Plant Biodiversity and Breeding Informatics at the University of Hohenheim's Institute of Plant Breeding, Seed Science and Population Genetics within the College of Agricultural Sciences. His research integrates evolutionary genetics, population genomics, and machine learning to address agricultural challenges. Ph.D. in Biology, University of Munich (1996) Postdoctoral Research, Cornell University (1997-1999) Emmy-Noether Research Group, Max Planck Institute of Chemical Ecology (2000-2006) Group Leader, Leibniz Institute of Plant Genetics (2006-2008) Professor of Genetics, Swedish Agricultural University (2008) His research focuses on crop biodiversity conservation, evolutionary genetics of plant pathogens, and breeding informatics applications. Current work leverages deep learning for phenotyping (quinoa panicles, barley genomics) and analyzes pathogen evolution (Exserohilum turcicum in maize). His team actively develops computational tools like GGoutlieR for geo-genetic pattern detection. Recent publications demonstrate strong trends in applying AI to agricultural genomics, particularly in quinoa improvement and pathogen surveillance. His group leads the EU H2020 INVITE project on molecular markers in plant variety protection and organizes international symposia like the 2024 Quinoa Symposium at Hohenheim. Head of Crop Biodiversity and Breeding Informatics Group Principal Investigator, EU H2020 INVITE project Organizer, International Quinoa Symposium 2024

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +۵ مورد دیگر

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Gina Turrigianoمشاهده پروفایل

استاد

• Neuroscience
• Homeostatic Plasticity
• Neural Circuit Plasticity
• +۳ مورد دیگر

Gina Turrigiano is the Joseph Levitan Professor of Vision Science in the Department of Biology at Brandeis University. She is also affiliated with the Benjamin and Mae Volen National Center for Complex Systems and the Neuroscience Program. Her research focuses on understanding how neural circuits maintain stability while remaining adaptable through homeostatic plasticity mechanisms. Dr. Turrigiano earned her B.A. from Reed College and her Ph.D. from the University of California, San Diego. Her educational background provided the foundation for her pioneering work in neuroscience. Her research centers on homeostatic plasticity mechanisms that allow brain circuits to self-tune during learning and development. The Turrigiano lab studies how neurons adjust their excitability to maintain constant firing rates despite external perturbations. A major discovery from her lab was synaptic scaling, a fundamental homeostatic mechanism. More recently, her work has explored how homeostatic mechanisms interact with classical forms of synaptic plasticity like LTP/LTD, and how sleep and behavioral states gate these plasticity processes. Her research has significant implications for understanding neurological disorders like autism, where homeostatic mechanisms may be disrupted. Analysis of Dr. Turrigiano's recent publications reveals a continued focus on the molecular and circuit mechanisms of homeostatic plasticity. Her work spans multiple levels of analysis from cellular/molecular to systems neuroscience, with particular emphasis on visual cortex as a model system. Recent publications explore the role of Shank3 in autism-related circuit dysfunction, the relationship between sleep and homeostatic regulation, and the distinct contributions of synaptic versus intrinsic homeostatic mechanisms to circuit stability. MacArthur foundation 'genius' award McKnight Foundation Technological Innovation and Neurobiology of Disease awards NIH director's pioneer award HFSP Nakasone Award Member of the National Academy of Sciences American Academy of Arts and Sciences fellow AAAS Fellow Landis Award for Outstanding Mentorship Dr. Turrigiano has received substantial research funding including NIH Director's Pioneer Award, NINDS R35 MERIT Award, and multiple McKnight Foundation awards. She has served as President of the Society for Neuroscience and is a member of numerous scientific editorial and advisory boards. Her mentorship has been recognized with the Landis Award for Outstanding Mentorship from NINDS. The Turrigiano lab has trained numerous graduate students and postdoctoral fellows who have gone on to establish independent research careers. The Turrigiano lab operates within the Department of Biology at Brandeis University, with strong connections to the Neuroscience Program and the Volen Center for Complex Systems. The lab employs a multidisciplinary approach combining electrophysiology, imaging, molecular biology, and behavioral analysis to study homeostatic plasticity mechanisms. Current research directions include investigating how homeostatic mechanisms interact with experience-dependent plasticity during critical periods of development, and how disruptions in these mechanisms contribute to neurodevelopmental disorders like autism.

Kayla Burdمشاهده پروفایل

استادیار

• Social Cognition
• Legal Psychology
• Eyewitness Memory
• +۴ مورد دیگر

Kayla Burd, Ph.D., serves as an Assistant Professor in the Department of Psychology at the University of Wyoming with a specialized focus on Psychology and Law. Her work bridges cognitive science and legal systems, examining decision-making processes among key legal actors through rigorous experimental methodologies. Ph.D. in Psychology, Cornell University (2018) M.A. in Psychology, Cornell University (2016) M.S. in Psychology, Arizona State University (2013) B.A. in Psychology, Hofstra University (2010) Dr. Burd's research centers on social cognitive mechanisms in legal contexts, specifically analyzing how extra-legal biases distort perception, memory, and reasoning among eyewitnesses, police officers, and jurors. Her work identifies cognitive vulnerabilities in legal decision-making while developing evidence-based interventions to mitigate bias. She directs the Social Cognition and Law Lab , which employs controlled experiments and field studies to translate theoretical insights into practical legal applications. Current projects examine interventions like purpose in life cultivation and self-affirmation techniques to improve decision accuracy. Analysis of her 15 most recent publications reveals three dominant research trajectories: (1) juror cognition in sexual abuse and adolescent culpability cases, (2) forensic evidence interpretation including ballistic analysis validity, and (3) emerging bias phenomena like pandemic-related discrimination. Her work increasingly integrates developmental psychology with legal scholarship. Dr. Burd mentors three graduate students—Amanda Anzovino, Olivia Grella, and Jaylan Aliev—guiding research on eyewitness reliability and courtroom accommodations. Her teaching portfolio spans Cognitive Psychology, Psychology and Law, and Judgment and Decision-making courses. The Social Cognition and Law Lab maintains active collaborations with law enforcement agencies and legal professionals, ensuring research addresses real-world challenges in the justice system through community-engaged science.

• Spatial Databases
• Geoinformatics
• Internet of Things (IoT)
• +۵ مورد دیگر

Anastasios Zafeiropoulos serves as Assistant Professor at Harokopio University of Athens, specializing in Spatial Data Management and Analysis within the Postgraduate Studies Program for “Applied Geography and Spatial Management” (Direction C: Geoinformatics). His academic role encompasses teaching “Spatial Databases” and advancing research at the intersection of geospatial technologies and distributed computing systems. His research program focuses on Spatial Databases, Internet of Things (IoT), Cloud/Edge Computing, and 6G Network Orchestration, with significant extensions into Knowledge Graph applications for Sustainable Development Goals (SDGs) and socio-emotional learning in education. Key innovations include the EduCardia methodology for student competency assessment and frameworks for climate vulnerability analysis using knowledge graphs. Analysis of his 2024-2025 publications reveals three dominant thrusts: (1) AI-driven orchestration of 6G services across the computing continuum using reinforcement learning; (2) Knowledge Graph applications for SDG interlinkage analysis and materials science; (3) EU-funded IoT/Edge Computing project ecosystems. His work consistently bridges theoretical networking concepts with practical sustainability and educational applications. Dr. Zafeiropoulos actively contributes to EU-funded initiatives in IoT and Edge Computing standardization, particularly through AIOTI WG Standardisation. His project portfolio includes NEPHELE multi-cloud ecosystem development and O-RAN slice admission control research, demonstrating strong industry-academia collaboration in next-generation networking. He leads the development of innovative tools including Palindrome.js for distributed system visualization and the EmoSocio open-access emotional intelligence model, reflecting his commitment to translating research into practical educational and environmental solutions.