جست‌وجوی استاد و پژوهشگر

• Second Language Acquisition
• Dene Language Education
• Task-Based Language Learning
• +۳ مورد دیگر

Sondra Shaginoff-Stuart is an Assistant Professor of Alaska Native Studies at the University of Alaska Anchorage (UAA) and Kenai Peninsula College (KPC). She holds offices at both institutions: SSB 365 in UAA's Social Science Building and WWB 225 in KPC's Walter Ward Building. A member of the Ahtna Dene and Pyramid Lake Paiute tribes, she actively engages in community roles such as serving on the Chickaloon Village Traditional Council, the Benteh/Nuutah Valley Native Primary Care Center Board, and the Kenaitze Indian Tribe's Education Committee. Education: MA in Applied Linguistics, Second Language Acquisition Teaching (2016), University of Alaska Fairbanks Her research focuses on revitalizing Indigenous languages through task-based pedagogy, emphasizing cultural projects to teach Native languages. She prioritizes community-building initiatives and Alaska Native Studies, aiming to preserve linguistic heritage for future generations. Sondra also advocates for Indigenous language education through roles like Ahtna Language and Cultural Director and participation in the Ce'yiits Hwnax Life House Advisory Committee. No articles or awards explicitly mentioned in the provided text, but her work aligns with educational and cultural preservation efforts in Indigenous communities. She advises no listed students but contributes to community-driven educational programs.

Christophoros Nikouمشاهده پروفایل

استاد

• Image Processing
• Computer Vision
• Pattern Recognition
• +۱۲ مورد دیگر

Christophoros Nikou is a Professor in the Department of Computer Science and Engineering at the University of Ioannina, Greece. He holds a Ph.D. in Image Processing and Computer Vision from Université Louis Pasteur - Strasbourg I, France (1999), a DEA in Photonics and Image Processing from the same institution (1995), and a Diploma in Electrical Engineering from Aristotle University of Thessaloniki, Greece (1994). His research interests include: Image Processing Computer Vision Pattern Recognition Biomedical Image Analysis Medical Imaging Machine Learning His recent publications (2022–2024) reflect a strong trend toward deep learning, generative models, and multimodal analysis, particularly in document image analysis, super-resolution, and biomedical applications. He has made significant contributions to visual tracking, segmentation, and image registration, with recent work extending into virtual reality, hypercomplex neural networks, and model compression. Scientific awards include: Best paper award, IAPR/IEEE International Conference on Biometrics (ICB’16), 2016 Best paper award, Bayesian and Graphical Models for Biomedical Imaging (BAMBI’16), 2016 He has supervised numerous students, many of whom have co-authored publications with him, and his research has been supported by collaborations across multiple institutions. He has also co-edited a book on biomedical image processing and contributed to several book chapters. His work spans both theoretical and applied domains, with consistent publication in top-tier IEEE and Springer venues.

Lynn Kirbyمشاهده پروفایل

استاد

• Neuroscience
• Addiction Neuroscience
• Stress Neurobiology
• +۱۲ مورد دیگر

Lynn Kirby, PhD, is a Professor in the Department of Neural Sciences at the Lewis Katz School of Medicine, Temple University. She is also affiliated with the Center for Substance Abuse Research, where her work bridges neuroscience and addiction research. Research Interests: Dr. Kirby’s research centers on the neurobiological mechanisms underlying stress and substance use disorders. Her laboratory investigates how stress and the stress neurohormone corticotropin-releasing factor (CRF) modulate the serotonin (5-HT) system, particularly in the dorsal raphe nucleus. Her team explores how dysregulation of 5-HT circuits contributes to negative affective states that drive drug relapse, supporting the self-medication hypothesis. Their work spans opioid, psychostimulant, and alcohol abuse models using behavioral pharmacology, electrophysiology, and chemogenetics. Publication Trends: Recent publications (2023–2025) reflect a strong focus on serotonin’s role in addiction, stress-induced relapse, and affective behaviors. Her studies integrate molecular, cellular, and behavioral approaches, with increasing use of chemogenetics and ultrasonic vocalization analysis to assess emotional states in rodent models. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Dr. Kirby mentors several students and postdoctoral researchers, as evidenced by her co-authorship with trainees such as Li C, McElroy BD, and McCloskey NS. She participates in collaborative projects with Drexel University and other Temple investigators, studying cannabinoid effects on cognition and neuroinflammation, as well as chemokine interactions with neurotransmitter systems. Labs and Teams: She leads a research laboratory at Temple University within the Center for Substance Abuse Research. Her team employs multidisciplinary techniques including rodent behavioral models, ex vivo electrophysiology, in vivo microdialysis, and chemogenetic strategies in transgenic rats to explore the neural basis of addiction and stress.

• Egyptology
• Archaeology
• Funerary Texts
• +۳ مورد دیگر

Erik Kiesel is a Research Associate at the Egyptian Museum Bonn and doctoral candidate at the University of Bonn's Institute of Archaeology and Cultural Anthropology, specializing in Egyptology through the Book of the Dead Project 2.0 and collaborations with Emory University. Educational background: Doctoral studies since 2025 Master's degree in Archaeology with Egyptology focus (2021-2024), thesis: "Rare but Persistent: PT 247-250 and its Continuation in the Coffin Texts and the Book of the Dead. A Text-Critical Study" (Supervisors: Prof. Dr. Ludwig D. Morenz & Dr. Stefan Bojowald) Bachelor's degree in Archaeology and Philosophy with Egyptology focus (until 2021), thesis: "In Search of the Proto-King's Beard: An Investigation of Egyptian Beard Representations in the Pre- and Protodynastic Period" (Supervisors: Prof. Dr. Ludwig D. Morenz & David Sabel MA) His research centers on ancient Egyptian funerary texts across historical periods, analyzing transmission mechanisms between Pyramid Texts, Coffin Texts, and Book of the Dead corpora. Secondary focus examines royal iconography development, particularly Proto- and Early Dynastic beard symbolism as indicators of kingship evolution. Professional roles include: Research Associate, Book of the Dead Project 2.0 (since 2025) Research Associate, Egyptian Museum Bonn (since 2024) Student assistant for library/projects/tutoring (until 2023) Membership spans the Working Group for Christian Archaeology, Association of Egyptology, and Association for the Promotion of the Egyptian Museum of the University of Bonn. Lecture engagements demonstrate active scholarly contribution: Current Research in Egyptology 25 (Cairo, 2025), Collaborative Research Grant with Emory University (Bonn, 2024), and New Research in North Rhine-Westphalia conferences (2021-2024).

• Academic Integrity
• Educational Technology
• Artificial Intelligence in Education
• +۱۲ مورد دیگر

MARIA DE LA CINTA GALLENT TORRES is an Assistant Professor at the University of Valencia, affiliated with the Faculty of Philology, Translation and Communication, where she specializes in French Philology. Her academic work bridges language education, translation studies, and the ethical challenges of digital transformation in higher education. Her research focuses on academic integrity , cyber-plagiarism , and predatory publishing , with a growing emphasis on the role of artificial intelligence in language learning and educational ethics. She explores innovative pedagogical strategies such as microlearning , virtual tandem exchanges , and digital tutoring for final degree projects, aiming to enhance student engagement and ethical awareness. Her recent publications reveal a strong thematic trend toward understanding how generative AI impacts second language acquisition, academic honesty, and the future of scholarly communication. She investigates both the opportunities and risks of AI tools in education, particularly in French language teaching and translation training. Scientific Awards: No scientific awards mentioned in the provided text. She has contributed significantly to curriculum innovation and teaching quality, particularly in the design and tutoring of final degree and master’s projects. Her work includes developing educational micro-videos , formative capsules , and pyramidal tutoring models to support students. She has also led initiatives to modernize French language and literature programs at the University of Valencia. Her research is conducted within the broader context of intercultural and digital education, with a focus on virtual exchange programs and the development of intercultural communicative competence among translation and language students.

• Neuroscience
• Neurodegenerative Diseases
• Alzheimer's Disease
• +۷ مورد دیگر

Alvaro Duque is a Research Scientist and Director of the MacBrain Resource Center in the Department of Neuroscience at Yale School of Medicine. He holds a PhD in Neuroscience from Rutgers University (2002) and a BSEE from Columbia University (1993). Research Interests: Neurodegenerative diseases, particularly Alzheimer’s disease and tau pathology Calcium signaling in aging and cognitive decline Development and organization of the primate prefrontal cortex Modeling cortical disorders using human neural stem cells Neuroanatomical basis of higher-order cognition His recent publications reveal a strong focus on translational neuroscience using non-human primate models to understand the early mechanisms of neurodegeneration. His work integrates molecular, cellular, and systems-level approaches to study cognitive disorders. He frequently collaborates with leading neuroscientists such as Pasko Rakic, Amy Arnsten, and Juan Arellano. Scientific Awards: No awards listed in the provided text. Advising and Grants: There is no explicit information about students or advisees. While no specific grants are mentioned, his active publication record in high-impact journals suggests ongoing research funding. His leadership of the MacBrain Resource Center indicates a role in supporting collaborative neuroscience research at Yale. Labs and Teams: Dr. Duque directs the MacBrain Resource Center (MBRC), a core facility supporting neuroscience research using macaque models. He is also affiliated with the MR Core Neuroscience, indicating involvement in advanced neuroimaging and molecular research infrastructure at Yale.

• Visualization
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Steffen Koch is a Senior Lecturer at the Institute for Visualization and Interactive Systems (VIS), University of Stuttgart. His work bridges visualization, virtual reality, and digital humanities, focusing on tools for analyzing text, spatiotemporal data, and cultural datasets. He collaborates extensively with institutions like the Visualisierungsinstitut der Universität Stuttgart and IEEE. Research Interests : Visualization techniques, virtual/augmented reality applications, digital humanities, text analytics, and human-in-the-loop systems. Key Publications : 2024 ChoreoVis (dance formation analysis), 2024 ViSCitR (hotel review comparison), 2023 Animated Transitions (small-scale visualization design), 2021 Sparse Spherical K-Means (document clustering), and 2016 VA 2 (evaluation methodology). Techniques Developed : Triangulation of eye-tracking and interaction data, pyramid tag maps for document exploration, multifocus navigation in text analysis, and real-time social media monitoring tools. His recent work trends emphasize human-centric visualization , combining machine learning with interactive interfaces for complex tasks in cultural analysis, social media monitoring, and temporal data exploration. While no explicit awards are listed, his prolific output in top venues like IEEE Transactions and Computer Graphics Forum indicates recognition in visualization and digital humanities communities. He frequently collaborates with Thomas Ertl, Johannes Knittel, and Markus John, spanning applications from religious history to cinematic storytelling.

• Neuroscience
• Neurosurgery
• Neuro-oncology
• +۳ مورد دیگر

Olaf Ansorge is an Associate Professor at the University of Oxford, actively affiliated with the Emerging Technologies for Analysis of the Brain (ETA) Research Group, Glioma Neurosurgery Research Group, and Oxford Epilepsy Research Group. His research spans Neuroscience, Neurosurgery, Neuro-oncology, Epilepsy Research, Alzheimer's Disease, and Neuroanatomy, focusing on cellular and molecular mechanisms underlying brain disorders. Key emphases include precision medicine for craniospinal axis tumors, synaptic organization and cannabinoid signaling in the cerebral cortex, and vascular dysfunction in neurodegenerative conditions. Analysis of his 2024-2025 publications reveals strong translational neuroscience themes: implementation of precision medicine in neuro-oncology (PiCTuRE study), synaptic connectivity in human cortex, and vascular mechanisms in Alzheimer's disease. His work bridges clinical protocols and basic science across oncology, neuropharmacology, and neurodegeneration. No information on students or research grants was provided in the source text. Dr. Ansorge's collaborative work is centered within these Oxford research teams: Emerging Technologies for Analysis of the Brain (ETA) Research Group Glioma Neurosurgery Research Group Oxford Epilepsy Research Group

Kathleen Artman Meekerمشاهده پروفایل

استاد

• Developmental Disabilities
• Early Childhood Social-Emotional Issues
• Teacher Education
• +۴ مورد دیگر

Kathleen Artman Meeker is a Professor of Early Childhood Special Education and Director of the Haring Center for Inclusive Education at the University of Washington's College of Education. Her career spans roles as a childcare assistant, special educator, classroom coach, and content developer, informing her research on high-quality coaching models across preschool, childcare, and early childhood special education settings. Ph.D. in Special Education, Vanderbilt University M.Ed. in Early Childhood Special Education, Ohio State University B.S. in Special Education, Ohio State University Her research focuses on developmental disabilities, early childhood social-emotional development, teacher education frameworks, and multi-tiered systems of support (MTSS). Recent projects investigate toddler language development in childcare, collaborations between 2- and 4-year colleges for educator preparation, and personalized professional learning strategies. Her publications examine remote instruction adaptations, tiered coaching models, blended behavioral interventions, and technology-enhanced coaching practices. She has contributed to foundational texts like 'Essentials of Practice-based Coaching' and 'Pyramid Practices.' Artman Meeker also leads innovative initiatives such as the UW's play-based Learning Studio, which transforms inclusive education approaches, and the Northwest Early Learning and Pyramid Model Summit, a regional convening focused on systems-level implementation of early childhood supports.

Paul Fieguthمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Image Processing
• +۷ مورد دیگر

Paul Fieguth is a Professor and Associate Vice President - Academic Operations at the University of Waterloo. He holds affiliations with the Full-time Faculty, Faculty of Mathematics, and the Intelligent and Autonomous Systems research group. His work focuses on interdisciplinary areas including machine learning, computer vision, medical imaging, and deep learning techniques for solving complex engineering and biological problems. He has contributed to advancements in photoacoustic remote sensing, autonomous systems, and large-scale biodiversity datasets like BIOSCAN-5M. His research bridges theoretical foundations (e.g., pattern recognition, inverse problems) with practical applications in robotics, medical diagnostics, and environmental monitoring. Education details are not explicitly provided in the text, but his professional roles suggest advanced training in computer science and engineering disciplines. His research interests span a wide range, including but not limited to: pattern recognition algorithms, deep learning architectures, remote sensing technologies, and computational methods for medical imaging. Recent work emphasizes innovations in rail defect detection, 3D reconstruction, and biodiversity assessment through multimodal datasets. Publications from 2022–2025 highlight contributions to fields like neural network optimization, uncertainty quantification, and generative adversarial networks for medical applications. While no specific awards are listed, his prolific publication record reflects recognition in academic circles. Advising and grants sections remain underdeveloped in the provided information, though his leadership roles suggest involvement in institutional research initiatives. He is a key member of teams advancing technologies such as PARS imaging and autonomous systems at the University of Waterloo.

• Machine Learning
• Information Security
• Pattern Recognition
• +۶ مورد دیگر

Dr. Yasser Alginahi is a Professor of Computer Science at Adrian College, USA. He holds a Ph.D. in Electrical and Computer Engineering from the University of Windsor, Canada (2004) and an M.Sc. in Electrical Engineering from Wright State University (1997). Previously, he served as an Associate Professor at Taibah University, Saudi Arabia (2005–2017), and as a research associate at the University of Windsor. His research focuses on machine learning, information security, pattern recognition, and 5G networks. He has authored over 80 publications and a book on document image analysis, and edited a volume on authentication technologies for cloud computing and IoT. Education: Ph.D., Electrical and Computer Engineering, University of Windsor, Canada (2004) M.Sc., Electrical Engineering, Wright State University, USA (1997) Research Interests: Machine Learning Applications in Cybersecurity IoT and SDN Network Security Pattern Recognition in Biomedical and Image Processing Cloud Computing Authentication Professional Affiliations: Senior Member, IEEE (2010–present) Senior Member, International Association of Computer and Information Technology (IACSIT) (2011–present) Member, International Association of Engineers (IAENG) (2013–present) Editorial Board Member of multiple journals His recent work emphasizes robust frameworks for intrusion detection in SD-IoT networks, plagiarism detection algorithms, and AI-driven wildfire prediction systems. He has also contributed to the design of e-payment systems and thermal conductivity modeling of nanofluids.

Janice Hauمشاهده پروفایل

استاد پژوهشی

• Diffusion MRI
• Neuroanatomy
• White matter
• +۳ مورد دیگر

Janice Hau, Ph.D., is a Research Professor in the Department of Psychology at San Diego State University (SDSU), within the College of Sciences. Her expertise lies in diffusion MRI, neuroanatomy, white matter studies, and autism spectrum disorder (ASD). She earned her Ph.D. in Neuroscience from the University of Bordeaux, focusing on white matter pathway anatomy and variability. Her current research integrates diffusion MRI with functional imaging to investigate structural connectivity in ASD across the lifespan, emphasizing cognitive and neuroanatomical correlates. Dr. Hau’s work spans methodological advancements in tractography and the application of neuroimaging tools to study ASD. She has contributed to understanding atypical brain connectivity in mature adults with ASD through studies on glymphatic activity, sensorimotor pathways, and cortical terminations of key tracts. Her research often addresses aging-related changes in neuroanatomy and their implications for ASD symptomatology. Her projects involve collaborations on MRI techniques and reproducibility in tractography, as seen in the Tractostorm framework. While no formal advisees are listed, her work mentors students indirectly through research participation and SDSU programs. She is affiliated with labs focused on brain imaging and ASD, though specific lab names are not explicitly mentioned in the text.

• Behavioral Economics
• Computational Economics
• Artificial Intelligence
• +۷ مورد دیگر

Ernesto D'Avanzo is an Associate Professor at the University of Trento's Department of Economics and Management. He holds a PhD in Information and Communication Technology from the University of Trento and a Laurea Degree in Philosophy from the University of Salerno. His academic career includes roles as an Assistant Professor at the University of Salerno and research positions at institutions like the High Performance Computing and Networking Institute (ICAR) - CNR and the University of Haifa. He is an associate researcher in multiple groups including the Economic Development and Social Sustainability (EDASS) research group at the University of A Coruña. His research focuses on decision models leveraging artificial intelligence (e.g., machine learning, natural language processing) and multivariate analysis (e.g., factor analysis, Bayesian models). Key areas include data-driven decision making in business strategies, sustainable management, and ethical governance. He has contributed to projects like Y Media Analytica, an AI-driven analytics startup. His articles explore topics like ethical decision-making frameworks, AI applications in healthcare and marketing, and structural equation modeling for corruption analysis. He has received the 2018 Emerald Literati Award and holds editorial roles in journals like Sustainability and International Journal on Semantic Web and Information Systems .

Esther Leslieمشاهده پروفایل

استاد

• Political Aesthetics
• Critical Theory
• Walter Benjamin Studies
• +۷ مورد دیگر

Esther Leslie is a Professor of Political Aesthetics at Birkbeck, University of London, within the School of Creative Arts, Culture and Communication. Her work bridges critical theory, cultural studies, and philosophy, with a focus on Walter Benjamin, Marxism, and the intersections of art, politics, and technology. Leslie’s research explores themes such as digital surveillance, environmental humanities, and the legacy of avant-garde movements. She has authored influential books including Liquid Crystals: The Art and Science of a Fluid Form (2016), Walter Benjamin: Overpowering Conformism (2000), and Synthetic Worlds: Nature, Art and the Chemical Industry (2005). Her recent work addresses post-pandemic urban environments, the philosophy of time, and the relationship between humans and nature. Her publications span journals like Crisis and Critique , Journal of Visual Culture , and Third Text , reflecting her interdisciplinary approach. Leslie collaborates on projects like Deeper in the Pyramid (2023) and has edited volumes on Walter Benjamin and Stan Brakhage. Her work often critiques capitalist and colonialist pedagogies while advocating for radical aesthetic and political frameworks.

Tristan Watsonمشاهده پروفایل

استادیار

• Nematology
• Plant Pathology
• Integrated Pest Management
• +۳ مورد دیگر

Tristan Watson is an Assistant Professor at Louisiana State University's College of Agriculture, Department of Plant Pathology & Crop Physiology. His research focuses on integrated nematode management strategies for Louisiana crops, emphasizing non-fumigant nematicides, soil health, and nematode distribution. Watson holds a Ph.D. in Biology (2018, UBC) and B.Sc. in Microbiology (2013, UBC). Education: 2018: Ph.D. in Biology, University of British Columbia, Canada 2013: B.Sc. in Microbiology, University of British Columbia, Canada 2018–2020: Postdoctoral Research Associate, Entomology and Nematology Department, University of Florida Research Interests: Evaluation of chemical and biological nematicides Soil health's role in pest suppression Nematode interspecific interactions Regional distribution of plant-parasitic nematodes Publications reflect a focus on nematicide efficacy, soil amendment impacts, and crop resistance mechanisms. Key themes include non-fumigant alternatives, compost-based solutions, and resistance screening in sweetpotato, soybean, and strawberry systems. Grants and lab affiliations are not explicitly detailed in the provided text.