جست‌وجوی استاد و پژوهشگر

Anne Göhringمشاهده پروفایل

پژوهشگر

• Computational Linguistics
• Natural Language Processing
• Machine Translation
• +۵ مورد دیگر

Anne Göhring is an Academic Associate at the University of Zurich, working within the Language, Technology and Accessibility research team at the Institute of Computational Linguistics. With over a decade of experience in computational linguistics and natural language processing, she has established herself as a specialist in machine translation, sign language processing, and German language analysis. Her work bridges theoretical linguistics with practical applications, particularly focusing on accessibility technologies and resource-poor languages. Her educational background includes: 2001-2010: Studies in Spanish Linguistics and Literature, Computational Linguistics 2006-2007: Erasmus study year at Universidad Complutense Madrid Dr. Göhring's research spans multiple domains of computational linguistics with a strong emphasis on practical applications. She has made significant contributions to machine translation systems, particularly for hybrid approaches and low-resource languages like Quechua. Her recent work has increasingly focused on sign language processing, developing corpora and translation systems to improve accessibility. She also conducts important research in semantic role labeling, sentiment analysis, and German language processing, with applications ranging from social media analysis to veterinary text mining. Analysis of her recent publications reveals a clear trajectory toward accessibility-focused NLP research, particularly in sign language technologies. While maintaining expertise in German language processing and machine translation, her 2023-2024 work shows a strong emphasis on sign language corpora development (SwissSLi) and pose-based identification systems. Earlier work focused more on semantic analysis, sentiment detection, and cross-lingual processing, demonstrating remarkable versatility across NLP subfields. Dr. Göhring has been actively involved in numerous research projects: 2011-2014: SNSF project SQUOIA on Hybrid Machine Translation 2015: CTI project SentiSpider on expectation-based sentiment analysis 2016-2018: What's up, Switzerland? corpus project 2018-2022: Sentiment inference research 2021-2024: NCCR Evolving Language Project: IMAGINE 2022-2026: Flagship IICT Throughout her career, Dr. Göhring has supervised numerous student projects and taught courses ranging from introductory computational linguistics to specialized seminars on machine translation and NLP for medicine. Her teaching portfolio demonstrates commitment to both foundational knowledge and cutting-edge applications in the field. She is an active member of the Language, Technology and Accessibility research group at the University of Zurich, collaborating extensively with researchers like Manfred Klenner, Sarah Ebling, and Martin Volk on diverse NLP challenges.

Yajie (Kevin) Liangمشاهده پروفایل

استادیار

• Neural stem cell therapy
• Two-photon imaging
• Neurogenesis
• +۵ مورد دیگر

Yajie (Kevin) Liang, MB, PhD, is an Assistant Professor in the Department of Diagnostic Radiology and Nuclear Medicine at the University of Maryland School of Medicine. He is a Principal Investigator at the Center for Advanced Imaging Research (CAIR) and a member of the Marlene and Stewart Greenebaum Comprehensive Cancer Center. His interdisciplinary research bridges neuroscience, imaging technology, and regenerative medicine. Education and Training: 1998–2003: Baccalaureate in Medicine, 3rd Military Medical University, Chongqing, China 2003–2009: PhD in Neurobiology, 3rd Military Medical University, Chongqing, China 2010–2012: Postdoc, Department of Radiology, Johns Hopkins University 2012–2015: Postdoc, Institute of Physiology, Tübingen University, Germany Research Focus: Dr. Liang’s laboratory develops and applies advanced in vivo imaging techniques, particularly two-photon and three-photon microscopy, to study neural stem cell therapy, stroke recovery, and neurodegeneration. His team investigates how transplanted neural cells integrate into host brain circuits and how toxic protein aggregates, such as α-synuclein, propagate in dementia models. Current Projects: Long-term tracking of single neural stem cells in stroke models Nanobody-based chemogenetic probes for α-synuclein strain imaging Smart multiphoton imaging systems for real-time cellular interrogation 3D-printed microinjection needle arrays for precise brain delivery Grants & Funding: NIA: “Shedding Light on Functional Heterogeneity of Dementia-related Alpha-synuclein Strains” ($463,124, 2022–2025) Maryland Stem Cell Research Fund: “Smart Intravital Multiphoton Imaging iPSC-derived Cells” ($345,000, 2024–2026) NIMH subcontract: “3D Microprinting-Enabled Microinjection Needle Arrays” ($88,295, 2023–2025) Total active funding: $896,419 Scientific Awards: Young Investigator Award, National Natural Science Foundation of China (2009) Outstanding Doctoral Thesis, Chongqing City (2010) Fortune Award for Junior Investigators, Tübingen University (2013) Dr. Liang is an active member of the Society for Neuroscience, Society for Image Guided Neurointerventions, and BioImaging North America. His work has been featured in high-impact journals including Nature Methods , Cell Research , and Biomaterials .

Sayanton Dibboمشاهده پروفایل

استادیار

• Deep Learning
• Computer Vision
• Secure & Trustworthy AI/ML
• +۵ مورد دیگر

Dr. Sayanton Dibbo is an Assistant Professor in the Department of Computer Science at the University of Alabama, where he leads the Trustworthy AI Lab. He is also a faculty affiliate of the Alabama Center for the Advancement of AI (ALA-AI) and Alabama Cyber Institution & HPC. His academic journey includes a PhD in Computer Science from Dartmouth College (2020-2025) and an MS in Computer Science from the University of California, Riverside (2017-2019). Dr. Dibbo's research spans several critical areas in modern computing: Deep Learning and Computer Vision Secure & Trustworthy AI/ML modeling Analysis of foundation models (LLMs and Multimodal systems) Security and privacy aspects of machine learning systems Biometric-based user authentication for IoT devices His recent work focuses on developing defenses against model inversion attacks using sparse coding architectures, improving robustness in audio classification, and creating secure authentication systems for wearable devices. Dr. Dibbo's research spans multiple data modalities including images, tabular data, audio, and text, addressing critical security and privacy challenges in AI systems. Dr. Dibbo has received recognition for his work including the Dartmouth Graduate Student Council Travel Grant for ICASSP 2024 and the Cybersecurity Cluster Research Fellowship. His service to the academic community includes reviewing for Women in Computer Vision (WiCV) at ECCV 2024, Computers and Security Journal, and Neural Networks Journal. As an educator and mentor, Dr. Dibbo is actively seeking highly motivated undergraduate and graduate students to join his research team at the University of Alabama. His lab focuses on cutting-edge problems at the intersection of AI security, privacy, and robustness, offering students opportunities to work on impactful research with real-world applications.

Vytautas Čyrasمشاهده پروفایل

دانشیار

• Legal informatics
• Artificial intelligence and law
• Conceptualisation
• +۷ مورد دیگر

Dr. Vytautas Čyras serves as an Associate Professor at Vilnius University's Faculty of Mathematics and Informatics, specifically within the Institute of Computer Science and Department of Software Engineering. With over three decades of academic experience since 1984, he bridges computer science and legal theory through groundbreaking interdisciplinary research. Education: Master's in Applied Mathematics (Computer Science) from Vilnius University (1979) Doctorate from Moscow State University's Faculty of Computational Mathematics and Cybernetics (1985) Second Master's in Law from Vilnius University and German Law Centre (2007) Dr. Čyras' research spans legal informatics, information systems, and computer science. His primary focus includes artificial intelligence and law, regulatory compliance, legal requirements, and pioneering work in legal visualization. His Structural Blanks approach to programming with recurrences demonstrates deep expertise in both foundational computer science and legal applications. His research explores how visual and multisensory approaches can transform legal reasoning and compliance in digital environments. His publication trajectory reveals an evolution from technical computer science topics toward sophisticated legal informatics applications. Recent work emphasizes multisensory legal machines, legal visualization frameworks, and the integration of AI with legal reasoning systems. He has made significant contributions to understanding how legal norms can be transformed into operational rules for virtual environments and digital governance systems. Professional Activities: Active participant and organizer of major legal informatics conferences including IRIS, Baltic DB&IS, and EGOVIS Contributor to European Framework Programme projects including VirtualLife and SKY-Scanner Longstanding member of the Lithuanian Computer Society and its Intellectics Section Dr. Čyras teaches courses including Artificial Intelligence, Knowledge Representation, and Human-Computer Interaction. His interdisciplinary background enables him to bridge theoretical legal concepts with practical applications in regulatory compliance systems and legal technology development.

Rohit Singhمشاهده پروفایل

استادیار

• Computational Biology
• Machine Learning
• Single-Cell Genomics
• +۴ مورد دیگر

Rohit Singh is an Assistant Professor at Duke University with appointments in the Departments of Biostatistics & Bioinformatics, Cell Biology, Computer Science, and Electrical and Computer Engineering. He is a member of the Duke Cancer Institute and the Division of Integrative Genomics. Academic Rank : Assistant Professor Departments : Biostatistics & Bioinformatics, Cell Biology, Computer Science, Electrical and Computer Engineering University Affiliations : Duke Cancer Institute, Division of Integrative Genomics His research focuses on computational biology, machine learning for drug discovery, and decoding disease mechanisms through single-cell genomics and protein language models. Current projects include SAME, Velorama, Raygun, and Allo-Allo. Recent publications span single-cell analysis, protein language models, and causal inference. He develops tools like Schema , D-SCRIPT , and Sceodesic . Grants : NIAID, Chan Zuckerberg Initiative, Foundation for Prader-Willi Research Awards : MIT Sprowls Award, Stanford Stephenson Award, RECOMB Test of Time Award He advises students in computational biology and has contributed to patents in protein interaction modeling and viral detection. The lab welcomes postdocs, rotation students, and collaborators.

Sasan Matinfarمشاهده پروفایل

پژوهشگر

• Medical Sonification
• Sonic Interaction Design
• Extended Reality (XR)
• +۴ مورد دیگر

Sasan Matinfar is a research scientist at the Technical University of Munich (TUM), affiliated with the Chair of Computer Aided Medical Procedures (Prof. Navab) and the Munich Center for Machine Learning (MCML). He serves as scientific staff at Rechts der Isar Hospital, developing XR and sonification systems for surgical environments since 2020. His educational background includes: Master’s and Bachelor’s in Computer Science, Ludwig Maximilian University of Munich (LMU) Musicology, Franz Liszt University of Music, Weimar Piano Interpretation, Art University of Tehran Matinfar pioneers medical sonification and multisensory XR, creating auditory interfaces that convert tissue properties into sound for surgical guidance. His work in user-centered design produces clinically viable tools like the Ocular Stethoscope for retinal procedures and physics-based BioSonix frameworks, merging computer vision with perceptual audio engineering to enhance intraoperative precision without visual overload. Analysis of his 12 recent publications (2017-2025) reveals an evolving research arc from foundational surgical soundtracks to sophisticated context-aware sonification. Current work integrates generative AI with real-time tissue deformation modeling, focusing on multimodal frameworks where auditory feedback complements visual navigation in complex surgeries like cardiac interventions and retinal peeling. Key recognitions include: The Data Sonification Award (2025) MICCAI 2023 Best Paper Nominee (top 3% of submissions) MICCAI Young Scientist Award (2017, top 2% of papers) As an educator, Matinfar mentors students through TUM courses including Medical Augmented Reality (WS 2025/26) and Surgical Robotics, while co-organizing the Medical Augmented Reality Summer School and IEEE ISMAR 2025’s MIX Workshop. His patented technologies emerge from collaborations with Politecnico di Milano, TU Dresden’s CeTI, and Balgrist Hospital Zurich, securing interdisciplinary grants in surgical data science. Matinfar operates within TUM’s NARVIS Lab for medical image analysis and RobUSt for robotics-ultrasound integration, leveraging the German Heart Center Munich (DHM) infrastructure to validate XR systems in live surgical workflows and advance vision-language models for intraoperative decision support.

Tobias Hallmenمشاهده پروفایل

پژوهشگر

• Multimodal Conversation Analysis
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Tobias Hallmen is a Researcher at the University of Augsburg 's Chair of Human-Centered Artificial Intelligence within the Faculty of Applied Computer Science . His work focuses on multimodal conversation analysis using machine learning and artificial intelligence in psychotherapy and medical/educational training contexts. Research interests include: Automated evaluation of conversational quality through multimodal data (audio, video, text) AI-based assessment systems for therapy sessions and parent-teacher interviews Development of real-time feedback mechanisms for skill improvement Integration of behavioral signal processing and empathy modeling Recent publications demonstrate expertise in vocal burst analysis , emotional mimicry prediction , and multimodal foundation models for behavioral annotation. Key technical domains: deep learning architectures , cross-modal data correlation , and computer vision applications . The Chair team under Prof. Dr. Elisabeth André currently includes 23 members with 10 projects active, including TherapAI (psychotherapy analysis) and KodiLL (medical training systems). Tobias Hallmen's work particularly addresses speaker classification , reception signal analysis , and remote physiological measurement techniques like video-based heart rate detection .

• Comparative Cognition
• Brain Asymmetries
• Spatial Memory
• +۵ مورد دیگر

Valeria Anna Sovrano is an Associate Professor at the Center for Mind/Brain Sciences (CIMeC) and the Department of Psychology and Cognitive Science at the University of Trento. Her research focuses on comparative cognition , brain asymmetries , and spatial-numerical skills in fish and reptiles , with a particular emphasis on visual perception of illusions and environmental geometry encoding . She leads the Lower Vertebrates Behavior and Neurobiology Unit at CIMeC and has supervised numerous doctoral projects. PhD in Experimental Psychology (University of Padua, 2004) Master degrees in Legal Psychology, Criminology, and Human Rights Recent work explores neurodevelopmental disorders in zebrafish models , inhibitory control in reptiles , and environmental pollutant impacts on cognition . Her studies on fish spatial navigation and numerical discrimination have been widely cited across cognitive science and developmental psychology. Notable awards include the AIP Section of Experimental Psychology award (2000) and the Gold Medal of the Italian President (2007) . She has taught courses like Biological bases of social behavior , Animal Cognition , and Psychobiology of stress , while coordinating STEM outreach programs and serving on equality & diversity committees.

Hannah Kernerمشاهده پروفایل

استادیار

• Machine Learning
• Remote Sensing
• Geospatial Data Analysis
• +۱۲ مورد دیگر

Hannah Kerner is an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University, where she leads cutting-edge research at the intersection of machine learning and remote sensing. Her work applies AI to global challenges such as food security, climate change, and planetary exploration, with strong collaborations through NASA Harvest and NASA ACRES consortia. Research Interests: Her research focuses on algorithmic advances for sparse and heterogeneous geospatial data, including agricultural land cover classification, novelty/anomaly detection, change detection, geographic fairness in AI, and AI-assisted planetary exploration. She develops methods to improve model generalization, mitigate geographic bias, and enable scalable ground-truth labeling via projects like Street2Sat. Publication Trends: Her recent publications demonstrate a strong trend toward foundational models for Earth monitoring (e.g., Galileo), fairness in AI (geographic and directional bias), automated detection of natural phenomena (volcanic features, seagrass), and the development of benchmark datasets (Fields of the World). Her work spans computer vision, NLP, and environmental science, emphasizing real-world impact. Scientific Awards: Forbes 30 Under 30 Best Paper Award at CVPR 2024 Oral Presentation at WACV 2023 (2.5% acceptance rate) Spotlight Poster at ICML 2024 (3.5% acceptance rate) Top 10 project by IRCAI for SDG impact Advising and Grants: Dr. Kerner actively mentors a large research group, advising numerous PhD, MS, and undergraduate students across ASU and partner institutions. Her research is supported by major funders including NASA, NSF, Google, and the Taylor Geospatial Engine, reflecting its high impact and interdisciplinary nature. Labs and Teams: She leads a dynamic research group at ASU focused on geospatial machine learning and is a key contributor to the NASA Harvest and ACRES consortia, which apply satellite observations to global agricultural monitoring and food security.

• Sarcoma Oncology
• Breast Cancer
• Clinical Trials
• +۴ مورد دیگر

John A. Charlson, MD, is an Associate Professor in the Department of Medicine, Division of Hematology and Oncology at the Medical College of Wisconsin. He holds leadership roles including Medical Director of the Cancer Center 24-Hour Clinic and serves on institutional committees such as the Cancer Center Process Improvement Committee and Pharmacy/Therapeutics Subcommittee. His clinical practice focuses on sarcoma and breast cancer management. Education & Training B.A. in Biology, Luther College (1989-1993) M.D., University of Iowa College of Medicine (1995-1999) Residency in Internal Medicine, Medical College of Wisconsin (1999-2002) Fellowship in Neoplastic Diseases, Medical College of Wisconsin (2005-2007) Lean Healthcare Certification, University of Michigan (2013) Research Focus Dr. Charlson's research spans clinical trials in sarcoma therapeutics, cancer survivorship, and treatment optimization. He leads multiple phase 1-3 trials investigating novel agents like nirogacestat for desmoid tumors and adoptive cellular therapies. His work emphasizes multimodal approaches including immunotherapy combinations, radiation techniques, and biomarker-driven treatments. Research interests extend to adolescent/young adult oncology and health services outcomes. Publication Trends Recent publications demonstrate extensive work in sarcoma immunotherapy (CAR-T therapies, immune checkpoint combinations), targeted therapies (tyrosine kinase inhibitors, gamma-secretase inhibitors), and treatment optimization studies (hypofractionated radiation, chemotherapy regimens). Breast cancer research focuses on receptor expression patterns and neoadjuvant response biomarkers. Methodologies include clinical trials, retrospective cohort analyses, and translational studies. Honors & Recognition Best Doctors in America (2009-2023) Top Ten Teaching Award, Medical College of Wisconsin (2003-2004) Donald J. Schuenke Cancer Fellowship (2006) Vitality Award for clinical excellence (2016) Top 20 Outpatient Physicians, Froedtert Hospital (2008) Academic Contributions As principal investigator for over 20 clinical trials, Dr. Charlson has secured funding from NIH/NCI, industry partners, and foundations. He mentors medical students and fellows in sarcoma research projects and coordinates hematology/oncology educational programs. Administrative roles include oversight of quality improvement initiatives in cancer care delivery and readmission reduction. Laboratories & Collaborations Dr. Charlson collaborates with the Midwest Sarcoma Trials Partnership and Sarcoma Alliance for Research through Collaboration (SARC). He serves as institutional PI for multi-center trials and liaises with sarcoma research consortia. Laboratory work focuses on preclinical drug evaluation in sarcoma models, particularly combination therapies and biomarker validation.

Melissa Dayمشاهده پروفایل

دانشیار

• Stress and Coping
• Sport Injury Psychology
• Trauma and Disability
• +۴ مورد دیگر

Melissa Day is a Reader in Qualitative Sport Psychology at the University of Chichester, where she serves as Programme Coordinator for the BSc in Sport and Exercise Psychology. BASES accredited and HCPC registered, she teaches across undergraduate and postgraduate programs while supervising multiple PhD students. Her academic work bridges theoretical sport psychology with practical applications in athletic performance, injury recovery, and disability sport contexts. Dr. Day's educational background includes a BSc (Hons) in Sport and Exercise Science from St Mary's University College (2003), an MSc in Sport and Exercise Science (Psychology pathway) from University College Chichester (2004), and a PhD on 'The underlying properties of stress' from the University of Wales (2007). Her research program centers on stress, appraisal, and coping mechanisms in sport contexts, with particular focus on trauma, disability, and injury experiences. Dr. Day has pioneered qualitative approaches to understanding vicarious trauma in sports, particularly examining how witnessing athletic injuries affects coaches and support staff. Her work on posttraumatic growth among Paralympic athletes has established important connections between sport participation and psychological adaptation following disability. She has also made significant contributions to understanding chronic pain in sport through innovative narrative methodologies, including her 'letter to my younger self' approach. Analysis of Dr. Day's recent publications reveals a strong trajectory toward knowledge translation in sport psychology, with increasing focus on practical applications of research findings. Her work has evolved from foundational studies on stress appraisal to contemporary research examining digital platforms for physical activity, esports physiology, and innovative narrative methods for translating research into practice. The interdisciplinary nature of her work is evident in collaborations spanning psychology, rehabilitation science, coaching education, and sports management. BASES accredited sport and exercise scientist HCPC registered practitioner psychologist Editorial board member for Qualitative Research in Sport, Exercise and Health Regular journal reviewer for multiple high-impact sport psychology publications Dr. Day actively supervises doctoral research, currently guiding three PhD students including Laura Shafe (researching vicarious trauma in sport) and Kim Humphries (examining psychological responses to injury onset). Her teaching portfolio includes undergraduate modules on interpersonal skills, psychology of training and competition, and psychology of injury and rehabilitation. She also serves as an external examiner for programs at other institutions and regularly contributes to academic conferences as both presenter and organizer.

Victoria Fantozziمشاهده پروفایل

دانشیار

• Teacher education
• Curriculum history
• Developmentally appropriate technology use
• +۶ مورد دیگر

Dr. Victoria Fantozzi is an Associate Professor of Childhood and Early Childhood Education at Manhattanville University's School of Education. With extensive experience spanning academic research and practical classroom teaching, she brings a comprehensive perspective to her work in early childhood education. Education Ph.D. in Curriculum and Instruction, University of Virginia (2010) M.T. in Elementary Education, University of Virginia (2003) B.A. in Psychology, University of Virginia (2003) Research Focus Dr. Fantozzi's scholarly work centers on three interconnected domains that address critical challenges in contemporary early childhood education: Teacher education : Her research examines mentoring relationships, observation practices, and professional identity development among preservice teachers, revealing nuanced perspectives on what student teachers seek from mentor teachers. Curriculum history : She has conducted significant historical analysis of John Dewey's educational philosophy and practices, challenging common misconceptions about progressive education. Technology integration : Her groundbreaking work explores how digital tools can be meaningfully incorporated into play-based early childhood classrooms to support literacy development while maintaining developmentally appropriate practices. Her research consistently bridges theory and practice, ensuring scholarly contributions have direct classroom applications. Publication Patterns Dr. Fantozzi's publications reveal an evolving research trajectory from historical educational analysis toward practical technology applications. Her early work focused on teacher preparation and educational history, while her recent scholarship increasingly examines digital tools in preschool settings. A consistent theme throughout her work is the emphasis on technology as an enhancement to, rather than replacement for, developmentally appropriate practices. Her research has been published in leading journals including Educational Researcher, Young Children, and the Reading Teacher. Professional Leadership New York State Association of Early Childhood Teacher Educators (Treasurer) National Association for the Education of Young Children (Member) National Council of Teachers of English (Member) Association of Teacher Educators (Member) Teaching and Public Engagement Dr. Fantozzi teaches courses in Emergent Literacies, Early Childhood Foundations, and Research Methods. During the pandemic, she provided media commentary on the challenges of transitioning to online education, noting that "Online courses have planned routines and structures because you know you won't see students face-to-face. Here, teachers are being thrown into this. They have to take what they do daily in their classrooms, and make it work online." Her work with the Watchung Cooperative Preschool's iPad program demonstrates her practical approach to technology integration in early childhood settings.

Stephen Lippiمشاهده پروفایل

استادیار

• Behavioral Neuroscience
• Alzheimer's Disease Research
• Lifestyle Factors and Brain Health
• +۲ مورد دیگر

Dr. Stephen Lippi serves as an Assistant Professor of Psychology in the Department of Psychology within Mercer University's College of Liberal Arts and Sciences, actively contributing to the neuroscience major through research and teaching. Education: Ph.D. in Psychology (Cognitive and Behavioral Neuroscience), George Mason University M.A. in Psychology (Cognitive and Behavioral Neuroscience), George Mason University B.S. in Psychology, George Mason University His research program integrates behavioral neuroscience using rodent models to study Alzheimer's disease mechanisms and human-focused analysis of sexual/gender minority mental health . Using transgenic mice, he investigates how lifestyle factors (diet, exercise, stress, sleep) influence brain pathology through behavioral paradigms including Morris water maze and novel object recognition. His secondary research leverages large datasets to examine mental health disparities without pharmaceutical interventions. Publications from 2020-2023 reveal consistent exploration of dietary modulators (high-fat diets, mushroom supplements) and environmental stressors in Alzheimer's models, with emphasis on cognitive/noncognitive behavioral outcomes and neuropathological markers in transgenic strains. Scientific awards: None documented in source materials. Dr. Lippi mentors undergraduate researchers through the B.E.A.D.S. lab and teaches foundational courses in research methods, statistics, and biological psychology, emphasizing hands-on student engagement in neuroscience inquiry. He directs the B.E.A.D.S. (Behavior/Brain, Environment/Enrichment, Aging/Alzheimer’s, Diet, Stress/Sleep) laboratory, which examines lifestyle-brain interactions across the lifespan using multimodal approaches from molecular analysis to behavioral phenotyping.

• Logistics Management
• Supply Chain Management
• Transport and Traffic
• +۵ مورد دیگر

Reinhold Schodl serves as Professor and Head of the Bachelor's program in Logistics and Transport Management at the University of Applied Sciences BFI Vienna, leveraging his engineering degree, business degree, and doctorate alongside international teaching and practical experience to shape logistics education. His academic foundation includes: Engineering Degree Business Degree Doctorate Professor Schodl's research centers on logistics management, supply chain management, and transport/traffic systems with specialized focus on logistics trends, sustainability integration, human resource challenges, e-commerce impacts, and urban logistics solutions. His work addresses critical industry transformations driven by digitalization and environmental pressures in global supply chains. Analysis of his publications reveals consistent investigation into urban logistics innovations, particularly micro-hub implementations and multimodal transport solutions. His research bridges practical industry applications with academic rigor, emphasizing sustainability metrics, regional impact assessments, and technological integration across European logistics networks. No scientific awards or fellowships were documented in the source material. He actively leads seven major research initiatives including alBOX (parcel segment business models), Logistics Concierge (micro-hub service integration), Inned (technology-driven network design), CommunityHub (shared urban logistics space), Q4 (multimodal freight nodes), Benchmark TransSped (vehicle data benchmarking), and Optihubs (water-segment logistics optimization), demonstrating strong industry engagement and practical research orientation. The available information does not specify dedicated laboratories or permanent research teams under his leadership, though his project portfolio indicates collaborative cross-institutional work.

• Language and Cognition
• Semantic Representation
• Psycholinguistics
• +۱۲ مورد دیگر

Dr. David Vinson is a Senior Lecturer in the Department of Experimental Psychology at University College London (UCL), where he conducts research at the intersection of language, cognition, and emotion. His academic profile demonstrates a strong commitment to understanding how humans process and represent meaning across various communication modalities. Dr. Vinson received his Doctor of Philosophy from University College London in 2009 and his Bachelor of Arts from Northwestern University in 1991. His educational background spans transatlantic institutions, providing him with a diverse academic foundation for his interdisciplinary research. His primary research focuses on language representations and processes, with particular emphasis on word, phrase and sentence meaning and its relation to other cognitive functions. A significant thread throughout his work examines the relationship between language and emotion, investigating how emotional content influences semantic processing. Dr. Vinson also explores how different communicative expressions integrate in multimodal contexts, studying both spoken language and sign systems. His methodological approach combines behavioral experimentation with selective neuroimaging techniques to provide comprehensive insights into language processing mechanisms. Dr. Vinson's publication record reveals consistent scholarly output across multiple high-impact journals in psychology, linguistics, and cognitive neuroscience. His recent work demonstrates growing interest in interdisciplinary semantic frameworks, with contributions to understanding how semantic representations differ for concrete versus abstract concepts, how iconicity functions in language, and how multimodal cues contribute to meaning construction. His research increasingly bridges theoretical linguistics with empirical cognitive science, reflecting contemporary trends in psycholinguistic research. As an educator, Dr. Vinson serves as module convenor for PSYC0004 Language and Cognition, an undergraduate second-year course at UCL. He actively contributes to the academic community as an ad hoc peer reviewer for numerous journals in psychology and neuroscience, a role he has maintained since 2002.