جستجوی استاد راهنمای دانشگاهی

• Pediatric Rehabilitation
• Cerebral Palsy
• Child Motor Development
• +۴ مورد دیگر

Lesley Pritchard, PT, PhD, is a Professor in the Department of Physical Therapy within the Faculty of Rehabilitation Medicine at the University of Alberta. Her work bridges clinical practice and academic research in pediatric rehabilitation, with active teaching responsibilities including PTHER 563 (Gross Motor Development and Pediatric Physical Therapy) and REHAB 601 (Research Design in Rehabilitation Research). Her educational foundation includes: PhD in Rehabilitation Medicine (University of Alberta, 2008) MScPT (University of Alberta, 2002) BScPT (University of Alberta, 1996) Dr. Pritchard's research centers on improving rehabilitation outcomes for children with motor disabilities, particularly through understanding family perspectives on service delivery and developing evidence-based interventions for cerebral palsy. She investigates community participation barriers and designs child-focused rehabilitation approaches that prioritize functional outcomes in natural environments. Her recent publication trends (2022-2025) reveal a strategic focus on implementation science and translational research. Key themes include validation of assessment tools like the Gross Motor Family Report, qualitative exploration of family experiences with orthotics and telehealth, and rigorous evaluation of innovative interventions such as robotic gait training. There is strong emphasis on mixed-methods designs and multi-center trials that bridge clinical practice and research evidence. No scientific awards are documented in the provided materials. As a graduate supervisor, Dr. Pritchard mentors students in rehabilitation research methodology while securing substantial grant funding for projects like the ENGAGE study on goal setting and TIPS for telehealth implementation. Her work demonstrates consistent collaboration with interdisciplinary teams across clinical, academic, and policy domains. She leads the ENGAGE research group focused on child-centered rehabilitation and contributes to the University of Alberta's Pediatric Rehabilitation Research cluster, collaborating with clinicians, families, and international researchers to advance evidence-based service delivery models.

Gabriele Gühringمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Anomaly Detection
• +۳ مورد دیگر

Gabriele Gühring serves as Professor at Esslingen University of Applied Sciences with dual appointments in the Faculty of Basic Sciences (since 2008) and Faculty of Computer Science and Information Technology (since 2021). She currently holds the executive position of Vice President for Research and Transfer (since September 2022), concurrently directing the Department of Research and Transfer while serving on the Science Commission and Honours Committee. Her academic foundation includes: Mathematics and Physics studies at University of Tübingen (1991-1996) Doctoral research on nonautonomous differential equations (1997-1999) Part-time Master's in Mathematical Finance at University of Oxford (2002-2004) Prof. Gühring's research centers on practical AI applications , specializing in anomaly detection systems for industrial infrastructure and multimodal learning for technical documentation. Her work bridges theoretical mathematics with real-world implementations in renewable energy, urban mobility, and medical diagnostics, demonstrating consistent evolution from pure mathematics to cutting-edge machine learning. Analysis of her 14 publications (1999-2023) reveals a strategic pivot from theoretical differential equations to industrial AI solutions. Recent work (2020-2023) focuses on anomaly detection in energy systems (power plants, vehicle fleets), multimodal neural networks for product analysis, and mobility data anonymization , with methodologies spanning spiking neural networks, graph-based approaches, and Bayesian deep learning. While no scientific awards are documented, her leadership in the BMBF-funded Anomob project demonstrates active grant acquisition in data privacy. Administrative responsibilities likely encompass significant mentorship, though no formal advisees are listed in the provided materials. Her research operates through Esslingen's Department of Research and Transfer, fostering cross-disciplinary collaborations between computer science, engineering faculties, and industrial partners in energy, transportation, and healthcare sectors.

Zafer Yavaşمشاهده پروفایل

مدرس

• English Language Teaching
• Second Language Acquisition
• Applied Linguistics
• +۳ مورد دیگر

Zafer Yavaş serves as a Lecturer in the English Preparatory Division at Boğaziçi University, Istanbul, Turkey, based at the Anadolu Hisari Campus. His role focuses on preparing students for academic English proficiency within the university's language instruction framework. His educational qualifications include: BA in English Language Teaching from Boğaziçi University (1999) Currently pursuing MA in English Language Teaching at Boğaziçi University Research interests center on English Language Teaching methodologies, with emphasis on Second Language Acquisition processes and Applied Linguistics frameworks. His work addresses practical Language Education challenges including Curriculum Development for preparatory programs and standardized Language Assessment techniques. No scientific awards or honors were documented in the source material. Information regarding student supervision, research grants, or collaborative projects was not provided in the available text. No laboratory affiliations or research team memberships were specified in the institutional description.

• Catalan Linguistics
• Romance Languages
• Language Pedagogy
• +۳ مورد دیگر

Mgr. Pavlína Javorová Švandová serves as a Lecturer at the Department of Romance Languages and Literatures within the Faculty of Arts at Masaryk University (Brno, Czech Republic). Her institutional affiliation includes correspondence address Arna Nováka 1/1, 602 00 Brno, with active teaching responsibilities documented through Spring 2026. Her research concentrates on Catalan linguistic structures and pedagogical methodologies, particularly evidenced by textbook development for Catalan language acquisition. This specialization manifests in both classroom instruction and scholarly publications addressing morphological frameworks and practical language exercises. Recent scholarly output reveals a cohesive trajectory in Catalan language resource development, transitioning from foundational morphological analysis (GramCat, 2019) to comprehensive textbook systems (ManuCat, 2023). These works collectively advance pedagogical approaches for Romance language learners with emphasis on practical application. No scientific awards are documented in available institutional records. Dr. Švandová actively supervises bachelor theses while maintaining significant teaching loads including Catalan language seminars (levels 1-6), cinema studies, and didactic practicums. She participated as researcher in the 2018 MU Development Fund project 'Manual de grammatica catalana en línea' (MUNI/FR/1158/2017), demonstrating applied research engagement beyond classroom instruction.

• Reconfigurable Computing
• High-Performance Computing
• Field-Programmable Gate Arrays (FPGAs)
• +۳ مورد دیگر

Carl-Johannes Johnsen is a Ph.D. student and Guest Researcher in the Department of Computer Science at the University of Copenhagen, specializing in reconfigurable computing and machine learning acceleration for X-ray food inspection systems. His research integrates FPGA-based hardware acceleration with compiler design for high-performance computing, focusing on programming models for Field-Programmable Gate Arrays and optimization of machine learning pipelines. Additional interests include concurrent and distributed programming education methodologies that prioritize conceptual understanding over formal proofs. Publication analysis (2019-2022) reveals consistent contributions to FPGA acceleration of scientific workloads (molecular dynamics), novel compiler vectorization techniques, and minimalist hardware implementations. His work bridges computer architecture, parallel computing, and practical applications in food safety inspection through cross-disciplinary collaboration. No scientific awards were documented in the source material. As an active doctoral candidate, Johnsen has no advisory responsibilities. Research grant details were not specified in the provided information. He operates within the Programming Languages and Theory of Computation research environment at the Department of Computer Science, engaging in international collaborations focused on hardware-software co-design as indicated by network analysis metrics.