جست‌وجوی استاد و پژوهشگر

• Radiation Dosimetry
• Medical Physics
• FLASH Radiotherapy
• +۷ مورد دیگر

Maurizio Marrale serves as Associate Professor in the Department of Physics and Chemistry at the University of Palermo (Unipa), holding position PHYS-06/A. His office is located at the Department of Physics and Chemistry "Emilio Segre" (DIFC), Viale delle Scienze, Building 18, with regular office hours on Thursdays from 3:00 PM to 5:00 PM. His research spans radiation dosimetry, medical physics, and advanced imaging techniques. Key focus areas include FLASH radiotherapy verification using alanine/EPR dosimetry and silicon carbide detectors, transcranial magnetic resonance-guided focused ultrasound for neurological disorders (particularly essential tremor), and MRI-based dosimetry with Fricke gels. His work bridges physics principles with clinical applications in radiation oncology and diagnostic imaging. Analysis of his 15 most recent publications reveals strong emphasis on Ultra-high dose rate (UHDR) beam characterization for FLASH radiotherapy Development of novel dosimetry systems (SiC detectors, ionoacoustic sensors) Advanced neuroimaging techniques for thalamic targeting Diffusion correction methodologies in 3D dosimeters Clinical MRI applications for neurological disorders His research demonstrates consistent integration of computational modeling (Geant4, deep learning) with experimental validation. As principal supervisor, he has guided over 35 master's theses at Unipa between 2009-2024, primarily in Physics and Medical Radiology Techniques programs. His supervisory work focuses on radiation dosimetry applications, MRI physics, and radiotherapy technology validation.

Aysenil Belgerمشاهده پروفایل

استاد

• Neuroscience
• Psychiatry
• Neuroimaging
• +۵ مورد دیگر

Aysenil Belger, PhD, is a Professor and Director of Neuroimaging Research in Psychiatry at the University of North Carolina at Chapel Hill's School of Medicine, Department of Psychiatry. She holds a joint appointment as Adjunct Associate Professor of Radiology at Duke University's Brain Imaging and Analysis Center. Her research employs multimodal neuroimaging (fMRI, EEG, fNIRS) and neuropsychological methods to investigate cortical circuits underlying attention, executive function, and emotion processing in neuropsychiatric disorders. Dr. Belger completed her BS at Ege University, followed by MA and PhD degrees at the University of Illinois at Urbana-Champaign. Her current work focuses on neural abnormalities in autism, schizophrenia, mood disorders, and PTSD, with recent investigations into stress regulation in adolescence and psychosis risk prediction. Her research integrates experimental psychology with neurophysiological assessments to examine sensory and cognitive impairments across disorders. Key investigations include electrophysiological markers in autism, neural oscillatory abnormalities in schizophrenia, and the impact of early childhood trauma on adult brain function. She actively mentors trainees across academic levels and teaches Cognitive Clinical Neuroscience at UNC. Recent publications demonstrate a methodological focus on dynamic functional connectivity, multimodal data fusion, and neurophysiological biomarker validation. Her work frequently employs machine learning approaches for psychosis prediction and emphasizes translational applications for precision psychiatry. Common themes include neural oscillatory dynamics, stress response systems, cortico-subcortical network interactions, and neurodevelopmental trajectories.

Yan Wangمشاهده پروفایل

دانشیار

• Quantitative Psychology
• Psychometrics
• Finite Mixture Modeling
• +۳ مورد دیگر

Yan Wang is an Associate Professor in the Department of Psychology at the College of Fine Arts, Humanities and Social Sciences, University of Massachusetts Lowell, specializing in advanced quantitative methods for psychological research. Her expertise bridges statistical methodology and applied behavioral sciences through innovative modeling techniques. Her educational trajectory demonstrates interdisciplinary rigor: Ph.D. in Measurement & Research (2018), University of South Florida, with supporting area in Educational Psychology; dissertation: "Covariates in factor mixture modeling: Investigating measurement invariance across unobserved groups" M.A. in Curriculum and Instruction (2013), Boston College Dual B.A. in English Literature and B.S. in Economics (2011), Xiamen University, China Dr. Wang's research centers on quantitative psychology with pioneering work in finite mixture modeling, structural equation modeling, multilevel modeling, and Bayesian analysis . Her methodological innovations address critical challenges in measurement invariance testing, latent variable modeling, and longitudinal data analysis, significantly advancing psychometric theory while enabling robust applications across educational, clinical, and social domains. This dual focus on methodological rigor and practical implementation defines her scholarly impact. Analysis of her 15 most recent publications reveals a distinctive pattern: she consistently develops and validates statistical techniques through Monte Carlo simulations before applying them to substantive problems in cognitive aging, traumatic brain injury outcomes, pediatric injury prevention, and cross-cultural psychopathology. Her signature approach combines simulation-based method evaluation with real-world applications, particularly in educational measurement and developmental psychology contexts. Her scholarly excellence has been recognized through prestigious awards: Teaching Excellence Award (2022) from University of Massachusetts Lowell Leslie C. Robbins Dean’s Excellence Award (2016) from University of South Florida Conference Presentation Travel Grant (2015) from SouthEast SAS Users Group University Graduate Fellowship Award (2013) from University of South Florida Dean’s Scholarship (2011) from Boston College National Scholarship (2008) from Xiamen University As Co-Investigator on the NIH-funded "Virtual Reality-based Rehabilitation for Children with Traumatic Brain Injuries" grant (Eunice Kennedy Shriver NICHD, 2020), she provides critical statistical leadership for clinical translation. Her collaborative publications with graduate students indicate active mentorship in quantitative methods, though formal advisee lists aren't documented. Dr. Wang maintains strong professional engagement through presentations at major conferences including AERA, APA, and Florida Educational Research Association, establishing herself as a leading voice in quantitative methodology development.

• Photogrammetry
• Remote Sensing
• Cadastre and Property
• +۳ مورد دیگر

Bilal Atak serves as a full-time Lecturer in the Department of Cadastre and Property Mapping at Kaman Vocational School, Kirsehir Ahi Evran University, Turkey, holding this position since 2019 while also serving on the University Board and as Deputy Director of the Research Application Center since 2023. His academic foundation includes a PhD in Remote Sensing and GIS (2021) from Yıldız Technical University, an MSc in Geomatics Engineering (2018) from Necmettin Erbakan University, and a BSc in Geodesy and Photogrammetry Engineering (2011) from Yıldız Technical University. Dr. Atak's research specializes in UAV-driven geospatial solutions for cadastre systems, with core expertise in photogrammetry , remote sensing , and land administration . His work focuses on improving cadastral mapping accuracy through drone technology, orthophoto production, and geospatial data analysis, directly addressing practical challenges in property registration and land management. His publication trajectory (2018-2024) reveals a concentrated evolution toward UAV applications in cadastral systems, demonstrating consistent methodological refinement in drone-based surveying techniques and accuracy validation protocols for land parcel delineation. He teaches seven courses including Cartography, UAV Applications, Cadastre, and Photogrammetry across undergraduate and associate degree programs, emphasizing practical geospatial skills. As Deputy Director of the Research Application Center, he drives institutional geospatial research initiatives, though specific laboratory infrastructure details remain undocumented in public sources.

Ayan Senguptaمشاهده پروفایل

استادیار

• Neuroimaging
• Functional magnetic resonance imaging (fMRI)
• Ultra-high-field 7 T MRI
• +۵ مورد دیگر

Ayan Sengupta, Ph.D. is an Assistant Professor in the Department of Health Physics and Diagnostic Sciences at the University of Nevada, Las Vegas , where he began in Fall 2024. He teaches Comprehensive Medical Imaging , MRI Physics , Radiation Science , and Dosimetry for both undergraduate and graduate programs. Educational Background Bachelor’s degree in Engineering (India) Master’s degree in Computer Science, specializing in medical image processing, University of Nebraska Ph.D. in Neuroimaging, Otto-von-Guericke University, Germany (supported by DFG Research Scholarship) Postdoctoral research, University of Cambridge & Sir Peter Mansfield Imaging Centre, United Kingdom Lifetime Honorary Affiliate, Hughes Hall, University of Cambridge Research Fellow, Royal Holloway, University of London Research Focus Dr. Sengupta’s work centers on cutting-edge neuroimaging, particularly ultra-high-field 7 T human fMRI . He leverages machine learning and artificial intelligence to decode how the brain represents visual and tactile information. At UNLV he is establishing a program on accessible low-field MRI systems for primary care and is pioneering novel imaging and AI techniques for dementia biomarkers . Publication Landscape Across 20 peer-reviewed works, a clear arc emerges: pioneering 7 T fMRI methodologies (motion correction, resolution optimization), constructing probabilistic atlases of somatosensory digit maps, and integrating computational approaches (decoding orientation, musical genres). Recent efforts extend to low-field MRI accessibility and AI-driven dementia biomarkers , reflecting a translational trajectory from high-field neuroscience to clinical impact. Scientific Honors DFG (Deutsche Forschungsgemeinschaft) Research Scholarship Lifetime Honorary Affiliate, Hughes Hall, University of Cambridge Current Activities & Future Directions Dr. Sengupta is actively building his laboratory at UNLV, acquiring funding and collaborators to advance low-field MRI systems and AI-based dementia diagnostics. While no specific students are named in the provided text, his program is expected to recruit graduate researchers as infrastructure develops.

• Mentalization
• Autism Spectrum Disorders
• Cerebellum
• +۳ مورد دیگر

Tom Bylemans is a postdoctoral researcher in the Psychology department at Vrije Universiteit Brussel (VUB), Brussels, Belgium, affiliated with the Brain, Body and Cognition research group and the Brussels University Consultation Center. His work centers on cerebellar mechanisms in mentalization and autism spectrum disorders, with an h-index of 70 reflecting significant scholarly impact. His research focuses on mentalization deficits, narrative coherence impairments, and cerebellar sequencing in autistic adults. He investigates how cerebellar dysfunction affects social cognition and narrative processing, with particular attention to sex differences and the development of targeted training interventions. His methodology combines neuroimaging, behavioral assessments, and clinical observations to bridge cognitive neuroscience and autism research. Analysis of his 2020-2024 publications reveals a cohesive trajectory: establishing cerebellar involvement in social cognition (2020-2022), developing cerebellar atlases (2023-2024), and creating narrative sequencing training protocols. Key themes include cerebellar mapping for social functions, sex-specific manifestations in autism, and the translation of basic neuroscience into clinical interventions for autistic adults. Scientific Awards: No major awards documented in provided materials. Advising and Grants: No student advisees or grant funding details mentioned in available sources. His activities include public lectures on autistic burnout and narrative training, indicating community engagement without formal advising roles. Labs and Teams: Core member of VUB's Brain, Body and Cognition research group, which investigates neural-cognitive-behavioral interactions using multimodal approaches including fMRI and behavioral paradigms.

Tim Loveمشاهده پروفایل

دانشیار

• Urban Design
• City Planning
• Architectural Design
• +۵ مورد دیگر

Tim Love is an Associate Professor of Architecture at Northeastern University, affiliated with the College of Social Sciences and Humanities and the College of Arts, Media and Design. He is also the founding principal of Utile, a Boston-based architecture and planning firm established in 2002. His work focuses on urban design, emphasizing the interplay between individual architectural projects and broader urban systems. Love’s research spans technical, cultural, regulatory, and environmental challenges in urban design, with an emphasis on public realm initiatives and industrial district regeneration. Education : Master of Architecture from Harvard University Graduate School of Design; B.S. in Architecture from the University of Virginia. Research Interests : Love’s expertise includes zoning regulations, industrial districts, public realm design, and urban housing typologies. His projects, such as the Boston Complete Streets Guidelines and Boston Harbor Islands Pavilion, have garnered national recognition for their innovative approaches to urban challenges. Awards : APA National Planning Excellence Award (2015) CNU New England Grand Award (2014) Boston Society of Architects Harleston Parker Medal Finalist (2014) Chicago Athenaeum American Architecture Award (2012) Teaching & Grants : Love teaches courses such as Case Studies in Urban Real Estate Development and Graduate Research Studio . His current projects include master plans for Cambridge, Houston’s Buffalo Bayou, and Detroit’s Brush Park neighborhood. Affiliations : Fellow of the American Institute of Architects (FAIA); collaborates with institutions like the City of Detroit and Massachusetts Port Authority.

Endrowednes Kuantamaمشاهده پروفایل

مدرس

• Internet of Drones
• Autonomous Systems
• Robotics Control
• +۳ مورد دیگر

Dr. Endrowednes Kuantama is a Lecturer in IoT/Networking at Macquarie University's School of Computing, appointed in 2023. He holds a PhD from Oradea University, Romania, as an ERASMUS MUNDUS scholar. Previously, he served as an Assistant Professor at Kyungsung University, South Korea, and a Postdoctoral Research Fellow at Macquarie University. His research focuses on autonomous drones, IoT integration, sensor fusion, and robotics control systems. He leads projects like Deep Vision in Autonomous Underwater 3D Mapping and Bonding Through Coding , and contributes to the Drone Lab, exploring aerial manipulation, SLAM algorithms, and machine learning applications. He has authored 27 publications in journals, conferences, and books, and reviews for the Drone and Aerospace Journal . His work spans drone stability analysis, control systems, and payload delivery optimization. Key projects include Deep Vision in Autonomous Underwater 3D Mapping (2025-2026) Bonding Through Coding (2024-2025) His research emphasizes drone-based solutions for logistics, security, and environmental monitoring, with recent advancements in LiDAR-based tracking, cooperative drone systems, and emergency battery services.

• Image processing
• Remote sensing
• Estimation of model parameters
• +۷ مورد دیگر

Max Mignotte is a Full Professor at the Department of Computer Science and Operations Research , Faculty of Arts and Sciences, Université de Montréal. He leads research in Image Processing, Remote Sensing, and Bayesian Inference , focusing on applications in medical imaging, computer vision, and data fusion. His work includes developing advanced algorithms for saliency estimation, multimodal change detection, and 3D reconstruction. Research Interests: Image processing techniques for medical diagnostics, remote sensing analysis, and machine learning-driven solutions for visual attention and segmentation. His methodologies often integrate Bayesian models and fusion strategies to address complex problems in computer vision and biomedical applications. Key Projects: Leading the Multi-Dimensional Scaling Maps for Saliency Estimation initiative. Developing Bayesian fusion models for remote sensing applications. Advancing 3D biplanar reconstruction of human limbs using statistical models. Grants & Teams: Principal investigator on CRSNG-funded projects, including New unsupervised Bayesian and energy-based models (2022–2028) and Bayesian fusion models (2016–2023). Collaborates with the Laboratoire de traitement d’images and interdisciplinary teams in biomedical research.

Ivana Ogrizek Biškupićمشاهده پروفایل

استاد

• Educational Technology
• Instructional Design
• Learning Management Systems
• +۴ مورد دیگر

Prof. Dr. Ivana Ogrizek Biškupić serves as a full professor at University of Algebra since 2023, specializing in information and communication sciences. Previously, she held associate professor (2018) and assistant professor (2011) positions at University of Zagreb. With over twenty years of teaching experience across eight higher education institutions, she is recognized for pioneering work in educational technology and instructional design, particularly in digital curriculum development and learning management systems integration. Her research portfolio centers on educational technology innovation , AI-driven instructional design , and curriculum development for Croatian Qualifications Framework levels 6-7. Key projects involve generative AI applications in education, cybersecurity training through simulated phishing attacks, and STEM competence enhancement via video game development. Her methodology emphasizes comparative analysis across European educational contexts and practical implementation of digital transformation blueprints. Analysis of her 15 most recent publications (2023-2025) reveals three dominant research trajectories: (1) AI integration in educational settings (40% of output), particularly generative tools for personalized learning; (2) cybersecurity education through experiential methods like simulated attacks; and (3) cross-disciplinary skill development examining teaching modes' impact on entrepreneurial and computational thinking. Her work consistently bridges theoretical frameworks with practical implementation in European higher education contexts. Prof. Ogrizek Biškupić has received multiple institutional awards for exceptional student mentorship and teaching quality, though specific award titles are not documented in public sources. Her pedagogical excellence has been formally recognized across multiple institutions where she has taught. She actively leads international research initiatives including Tempus, Erasmus+, HRZZ, and CROQF ESF projects focused on curriculum redesign and digital educational content development. As an external associate of the Agency for Mobility and EU Programmes and EACEA, she contributes to European educational policy while serving on conference organizing committees and as a journal reviewer. Her grant portfolio demonstrates sustained success in securing competitive funding for digital education innovation.

• Transportation Engineering
• Freight Forwarding
• International Transportation
• +۳ مورد دیگر

Лариса Олексіївна Васильєва is an Associate Professor at the Department of Transport Technologies within the Faculty of Transport at National University "Zaporizhzhia Polytechnic". With over 40 years of experience since beginning her activities at the university in 1980, she has established herself as a respected academic in transportation engineering and logistics. She also serves as Secretary of the Academic Council of the Faculty of Transport. Dr. Vasylieva earned her degree as an Industrial Transport Engineer from Zaporizhzhia Machine-Building Institute in 1984. In 2021, she successfully defended her candidate's thesis titled "Increasing the efficiency of transportation of narrow-nomenclature large-batch metal products through rational formation of cargo shipments" at Dnipropetrovsk National University of Railway Transport. Her research focuses on freight forwarding and commercial activities across various transport modes, organization of international transportation, and logistics solutions for metallurgical enterprises. Dr. Vasylieva has published extensively on topics related to cargo transportation efficiency, wartime logistics challenges, electronic documentation systems, and optimization of metal product delivery processes. Her recent work has particularly addressed the complexities of transportation during wartime conditions in Ukraine. Dr. Vasylieva has received numerous accolades including a Certificate of Honor from Zaporizhzhia Polytechnic National University (2022), Gratitude from the Zaporizhzhia Regional State Administration (2020), and multiple "For impeccable work" badges from Zaporizhzhia National Technical University (2018, 2012). Her contributions to pedagogical activity and scientific research have been widely recognized. She teaches courses on freight forwarding activities, organization of international transportation, and supervises pre-graduate internships. Her expertise spans transportation engineering, logistics management, and industrial transport systems, with particular focus on metallurgical product distribution.

• Cognitive Neuroscience
• Autism Spectrum Disorder
• Developmental Psychology
• +۷ مورد دیگر

Dr. Anila D'Mello is an Assistant Professor and Jon Heighten Scholar in Autism Research at the University of Texas Southwestern Medical Center, affiliated with the Department of Psychiatry and the O'Donnell Brain Institute. She also serves as faculty in the Department of Psychology at the University of Texas at Dallas, reflecting her interdisciplinary research across institutions. Her research lies at the intersection of cognitive neuroscience, psychiatry, and developmental psychology, with a strong emphasis on understanding cerebro-cerebellar circuits in language and cognition. She investigates how these circuits are altered in neurodevelopmental disorders such as autism spectrum disorder (ASD), using tools including fMRI, tDCS, and behavioral experimentation. Her work has been instrumental in highlighting the cerebellum’s role beyond motor function, particularly in semantic processing, social cognition, and higher-order cognitive control. The analysis of her recent publications reveals consistent focus on autism, cerebellar function, language processing, and neuromodulation. Themes include neural prediction mechanisms, sex differences in autism research, and the functional organization of cerebellar subregions. Her research bridges human neuroimaging and animal models, offering translational insights into neurodevelopmental conditions. Jon Heighten Scholar in Autism Research Dr. D'Mello leads the D'Mello Lab, which operates across both UT Southwestern and UT Dallas. Her lab investigates the neural basis of language and cognition, particularly in ASD, and explores potential neuromodulation-based interventions. She has collaborated extensively with leading researchers in the field and contributes to advancing methodological rigor in autism research, particularly regarding inclusion of female participants. Her work is supported by institutional recognition and scholarly impact, positioning her as a rising leader in cognitive neuroscience of neurodevelopmental disorders.

• Cognitive Neuroscience
• Synaesthesia
• Social Neuroscience
• +۵ مورد دیگر

Prof Jamie Ward is a Professor of Cognitive Neuroscience at the School of Psychology, University of Sussex. He holds leadership roles including Co-Director of the Leverhulme Doctoral Scholarship Programme and Sussex REF lead for Psychology, Psychiatry, and Neuroscience. He is also President of the British Association of Cognitive Neuroscience and Founding Editor of Cognitive Neuroscience . His academic journey includes roles at University College London and the University of Sussex, with degrees from the University of Birmingham and the University of Cambridge. Research focuses on synaesthesia, social neuroscience of vicarious perception, and cross-modal plasticity. Key interests include multi-sensory brain mechanisms, empathy neural bases, and sensory substitution technologies. Over 286 publications span topics like misophonia neurochemistry, empathy-pain links, and synesthesia brain structure differences. Grants include funding from the Swiss National Science Foundation, Ream Foundation, and Leverhulme Trust for studies on perception-memory systems, misophonia comorbidities, and doctoral training. Teaching includes modules on Cognitive Neuroscience (BSc) and Social Neuroscience (MSc), with office hours for students. Labs and collaborations involve the Sussex Neuroscience network and international research partnerships. Current projects examine sound intolerance mechanisms, sensory sensitivity in developmental conditions, and neural correlates of vicarious experiences.

• Ophthalmology
• Corneal Diseases
• Clinical Medicine
• +۳ مورد دیگر

Paul Thompson is a Clinical Professor at the Université de Montréal's Faculty of Medicine, Department of Ophthalmology. He practices at the Centre hospitalier de l'Université de Montréal (CHUM) and holds research affiliations with the CRCHUM. His expertise spans corneal diseases, clinical ophthalmology, and interdisciplinary epilepsy research through collaborations like the ENIGMA consortium. Education: MD and Ophthalmology specialization from Université de Montréal, with fellowships in corneal disease at Hôtel-Dieu de Paris and Harvard Medical School's Massachusetts Eye and Ear Infirmary. Research focuses on corneal pathology, including keratoprosthesis innovations, and neuroimaging studies of epilepsy's structural brain changes. Collaborative projects include AI-driven epilepsy classification and genetic influences on brain structure. Labs/Teams: Leads the corneal fellowship program at CHUM and participates in the ENIGMA-Epilepsy Working Group. Research interests bridge ophthalmology and neurology, with emphasis on clinical translation and imaging biomarkers.

• Cognition, Brain and Behavior
• Neuroimaging
• Creativity
• +۳ مورد دیگر

Rex Jung is a Research Assistant Professor at the Department of Psychology, University of New Mexico. His research focuses on cognitive neuroscience, creativity, and brain networks, particularly exploring how structural and functional brain connectivity underpin intelligence and creative achievement. He investigates neuropsychological outcomes in clinical populations such as tumor patients and individuals with schizophrenia. Jung’s work integrates neuroimaging techniques with genomic and behavioral data to understand cognitive abilities and disorders. His research interests include brain network dynamics, personality traits’ neural correlates, and the evolution of imaginative culture. He collaborates on projects analyzing large neuroimaging datasets to identify biomarkers for mental health conditions. Jung has contributed to methodological advancements in connectome analysis and promotes interdisciplinary approaches in creativity research. His academic contributions span peer-reviewed articles on neuroimaging applications, brain network analysis, and cognitive neuroscience. He is affiliated with research centers at UNM, including the Psychology Clinic and the Center for the Study of Addictive Behaviors (CASAA). His work bridges basic science and clinical applications, emphasizing translational research to improve diagnostic tools and therapeutic interventions.