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Johann KastnerView profile

Professor

• Computed Tomography
• Materials Science
• Non-Destructive Testing
• +3 more

Johann Kastner is a Professor at Upper Austria University of Applied Sciences, leading the Research Center Wels Computed Tomography R&D-Headquarters. He is affiliated with Centers of Excellence in Automotive/Mobility, Energy, and Smart Production. His research focuses on advanced materials characterization using X-ray computed tomography (X-CT), with applications in non-destructive testing, composite materials, and biomedical engineering. Key research areas include porosity analysis in carbon fiber reinforced polymers, phase contrast imaging, and additive manufacturing. He has led over 10 projects, including the EU-funded xCTing initiative (2021–2025) and the X-PRO project (2020–2024), emphasizing industrial CT applications and cross-virtuality data analysis. His work spans 335+ publications, with notable contributions to XCT-based defect detection, material microstructure analysis, and AI-driven image segmentation. Collaborations include COMET K Projects and FTI-Structurförderung grants. He has advised 2 PhD students and actively participates in international conferences and workshops. Laboratory facilities include state-of-the-art XCT systems for 3D microstructural analysis, Talbot-Lau grating interferometry, and augmented reality visualization tools for industrial applications.

• Medical Imaging
• Radiation Oncology
• Biomedical Engineering
• +3 more

Kira Grogg is a Research Scientist in Radiology & Biomedical Imaging at Yale School of Medicine, part of Yale University. She holds affiliations with the Bioimaging Sciences department, the Center for Molecular Imaging Technology and Translation (CMITT), and the PET Core. Her work focuses on advancing medical imaging technologies, particularly in PET imaging and proton therapy verification, alongside studies in pulmonary physiology and lung mechanics. She earned a Ph.D. in Physics from the University of Wisconsin (2011) and a B.A. in Physics and Astronomy from Carleton College (2005). She completed a postdoctoral fellowship at Massachusetts General Hospital/Harvard Medical School, where she investigated proton therapy imaging techniques supported by an NCI K07 Award. Grogg is an ABSNM-certified Nuclear Medicine Physicist and has contributed to over 20 peer-reviewed publications. Her research spans innovations in PET system performance, tumor contouring via AI, and translational studies on mechanical ventilation strategies in lung injury models. She collaborates with institutions like the Yale PET Center and international teams on projects such as the TOPAS-imaging simulation toolkit and tau PET motion correction algorithms. Education: Ph.D., University of Wisconsin (2011); B.A., Carleton College (2005) Key Certifications: ABSNM Diplomate in Nuclear Medicine Physics (2021) Lab Affiliations: Yale PET Center, CMITT Her awards include the NCI K07 Award (2015) and contributions to the development of clinical imaging standards for PET/CT systems. Research highlights include pioneering work on lung strain mechanics in ovine models and applying diffusion models to tumor volume prediction. Current efforts focus on integrating advanced imaging techniques with clinical outcomes in radiation oncology and critical care.

• Phonetics
• Estonian Intonation
• Prosody
• +5 more

Eva Liina Asu-Garcia is an Associate Professor of Phonetics at the University of Tartu's Faculty of Arts and Humanities, Institute of Estonian and General Linguistics (0.80 position), and an Associate Professor of Swedish Language at the Institute of Foreign Languages and Cultures (0.20 position). She has been affiliated with the University of Tartu since 1995, holding various academic positions including Lecturer, Research Fellow, Senior Research Fellow, and now Associate Professor. She also served as Head of Department at the Institute of Foreign Languages and Cultures from 2021 to 2024. Dr. Asu-Garcia earned her Doctoral degree in Linguistics from the University of Cambridge in 2004, with her dissertation titled 'The Phonetics and Phonology of Estonian Intonation,' supervised by Prof. Francis Nolan. Prior to this, she completed an M. Phil in English and Applied Linguistics (1996-1997) and a B.A. in English Language and Literature (1989-1995) from Tartu University. Her research primarily focuses on phonetics, with special emphasis on Estonian intonation, prosody, and speech production. She investigates the acoustic and articulatory properties of Estonian quantity distinctions, intonation patterns in various discourse contexts, and cross-linguistic aspects of phonetics, particularly in relation to Swedish and Spanish language learners. Her work often combines experimental methods with theoretical linguistics to understand how prosody functions in communication. She has published extensively in international journals and conference proceedings, with recent work examining multimodal aspects of speech, cross-cultural perception of vocalizations, and the documentation of endangered language varieties. Dr. Asu-Garcia has received numerous awards and scholarships throughout her career, including the Kordelin Foundation Scholarship (2016, 2006), Valter Niilus award (2010), and several Cambridge Overseas Trust scholarships. She is an active member of multiple professional organizations including the International Speech Communication Association (ISCA), International Phonetics Association (IPA), and the British Association of Academic Phoneticians (BAAP). She currently supervises PhD student Katrin Leppik (researching Estonian vowel categories and quantity degrees in Spanish L1 speakers) and Master's student Vootele Valter (studying Ruhnu Swedish language clusivity). She has successfully supervised several other students to completion of their degrees. Dr. Asu-Garcia also leads research projects funded by the Ministry of Education and Research and the Nordic Council of Ministers, focusing on multimodal analysis of spoken Estonian and documentation of Ruhnu Swedish dialect.

• Medical Imaging
• Bioengineering
• Cardiovascular Hemodynamics
• +6 more

Patrick Winter is a Senior Lecturer I in the Department of Bioengineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. His research focuses on advanced MRI techniques, cardiovascular imaging, and nanotechnology applications in molecular imaging. He specializes in developing imaging methodologies for diagnosing vascular diseases like atherosclerosis and aneurysms, with particular emphasis on 4D flow MRI, deep learning algorithms, and nanoparticle-based theranostics. Educations: No formal education details provided in text. Research Interests: His work bridges bioengineering and clinical medicine, addressing challenges in non-invasive disease detection. Key areas include: Development of super-resolution MRI techniques Machine learning applications in medical imaging Targeted nanoparticle delivery systems Quantitative hemodynamic analysis Preclinical cardiovascular modeling Recent articles highlight innovations in: Deep learning-enhanced 4D flow MRI for stroke prediction Ensemble learning for cardiovascular system imaging Multi-modal imaging of aneurysm dynamics Awards: No scientific awards explicitly mentioned in provided texts. Grants/Advising: No grant details or student advisees listed. Collaborations likely focus on interdisciplinary cardiovascular research. Labs/Teams: Engaged in bioengineering labs specializing in MRI technology advancement and nanomedicine applications.

Sabine Schulte im WaldeView profile

Professor

• Computational Linguistics
• Natural Language Processing
• Germanic Linguistics
• +3 more

Sabine Schulte im Walde is an Apl. Prof. (Adjunct Professor) at the Institute for Natural Language Processing (IMS) , University of Stuttgart. Her research bridges computational linguistics and cognitive semantics, focusing on noun compounds, semantic change, and multimodal representations. Key research areas: semantic drift, compositionality, German particle verbs Instrumental in creating datasets for semantic change detection (DWUGs, DURel) Recent work explores BERT's limitations in compound semantics and cross-lingual metaphor detection She contributes to major European NLP initiatives, with publications in top venues like ACL. The IMS group specializes in language-technology intersections, managing 6 professorships, 50+ researchers, and 200+ students in NLP programs.

• Data management and data science
• Artificial intelligence
• Distributed computing and systems software
• +6 more

Thomas C Henderson is a tenured Professor at the School of Computing within the College of Engineering at the University of Utah. His research focuses on autonomous systems , computational models , and intelligent machine systems , with specific interests in biosystem simulation, distributed systems, and adaptive algorithms. He has contributed to Bayesian sensor networks , UAS traffic management , and probabilistic logic frameworks for intelligent agents. Current academic appointments since 1989 Adjunct roles in Biomedical Engineering Active in IEEE committees (2024-2025) Research trends in recent publications emphasize autonomous aircraft coordination , probabilistic reasoning , and multi-sensor integration . Key subfields include lane-based airspace modeling, reinforcement learning for UAS, and pseudogradient navigation techniques. His work has received recognition through a Best Paper Award (IEEE 2008) and the US Air Force Summer Faculty Fellowship . Strategic deconfliction protocols Dynamic data-driven applications Structural health monitoring systems He actively mentors undergraduate research through courses like Deep Learning Capstone and Senior Capstone Design . Current grants include "Deep Learning in AI and Robotics" (2024-2029) and "Robust Reasoning using Geometric SAT/PSAT" (2022-2023).

• Electric Vehicle Engineering
• Battery System Design
• Autonomous Vehicle Optimization
• +5 more

Jelena Andric is an Associate Professor in the Vehicle Engineering and Autonomous Systems department at Chalmers University of Technology, working within the Mechanics and Maritime Sciences school. Her research spans multiple aspects of vehicle engineering with a particular focus on electric and autonomous vehicle technologies. Her research interests primarily center around electric vehicle engineering, battery system design, autonomous vehicle optimization, thermal management systems, computational fluid dynamics, reinforcement learning applications, and hardware-in-the-loop simulation. She has developed expertise in applying advanced computational methods to solve complex vehicle engineering problems, particularly in the areas of battery management and energy optimization. Analysis of her recent publications reveals a strong trend toward optimizing electric vehicle performance, particularly focusing on battery degradation mitigation, thermal management, and energy efficiency. Her work increasingly incorporates artificial intelligence techniques, especially reinforcement learning, to develop sophisticated optimization approaches for electric trucks and autonomous vehicles. The research spans from fundamental fluid dynamics studies to applied engineering solutions for real-world transportation challenges. Dr. Andric has been actively involved in numerous research projects funded by organizations including VINNOVA, the Swedish Energy Agency, CHAIR, and ÅForsk. These projects cover diverse areas such as battery aging prediction, vehicle management strategies for electrified vehicles, electric public transit systems, and virtual engine calibration. Her current research portfolio includes leadership in projects related to simulation-based evaluation of connected vehicles, battery aging prediction for electric autonomous vehicles, AI-cloud-based vehicle management strategies, and transition to electric public transit systems. These projects demonstrate her commitment to addressing critical challenges in sustainable transportation through advanced engineering solutions.

Mehran MasdariView profile

Lecturer

• Experimental Aerodynamics
• Aeroacoustics
• Heat Transfer Optimization
• +9 more

Dr. Mehran Masdari is a Lecturer in the Department of Aerospace Engineering at City St George's, University of London, where he has been serving since 2024 after joining as a Research Fellow and Visiting Lecturer in 2022. He previously held the position of Assistant Professor at the University of Tehran from 2012 to 2022, where he founded and led the Experimental Aerodynamic Research Laboratory (EARL). Education: PhD in Aerodynamics, Sharif University of Technology, Iran (2011) Fellow of the Higher Education Academy (FHEA), City, University of London, United Kingdom (2024) Dr. Masdari's research focuses on experimental aerodynamics, measurement techniques, data analysis, and image processing. He specializes in heat transfer optimization using pulsating flows, aeroacoustic analysis of drone propellers, and energy harvesting from flow-induced motions. His work bridges fundamental fluid dynamics with practical engineering applications in aerospace and sustainable technologies. He teaches core courses such as 'Measurements and Data Analysis', 'Advanced Aerodynamics', and 'Aeroelasticity', contributing significantly to aerospace education. The recent publications reflect a strong trend in experimental methods, particularly in image-based diagnostics, unsteady flow control, and energy conversion from fluid-structure interactions. His work spans thermal engineering, aeroacoustics, and smart materials, demonstrating interdisciplinary innovation in aerospace systems. Scientific Awards and Recognitions: Fellow of the Higher Education Academy (FHEA) Fellow of the Royal Aeronautical Society Dr. Masdari has advised numerous graduate students at the University of Tehran and continues to mentor early-career researchers at City St George's. His research has been supported by institutional and national grants related to advanced measurement systems, drone technology, and sustainable energy solutions. He has led projects integrating optical diagnostics with thermal and structural testing, contributing to both academic knowledge and industrial applications. He established and directed the Experimental Aerodynamic Research Laboratory (EARL) at the University of Tehran, a facility dedicated to cutting-edge experiments in flow measurement, heat transfer, and aeroelasticity. His lab work emphasizes innovation in instrumentation and data interpretation, fostering a hands-on research environment for students and collaborators.

• Historical Linguistics
• Chinese Syntax
• Morpho-Syntax
• +5 more

Barbara Meisterernst is an Honorary Professor at the Institute of Linguistics, National Tsing Hua University in Taiwan, specializing in Chinese historical syntax, morpho-syntax, syntax-semantic interfaces, and Buddhist Chinese linguistics. Her academic career spans prestigious institutions including Humboldt-University Berlin and the University of Ghent. Habilitation, University of Hamburg (2012) PhD in Chinese Studies, Münsterische Sinologische Mitteilungen (1998) MA in Chinese Studies, German and Linguistics (1992) Her research focuses on diachronic evolution of Chinese grammar, particularly tense-aspect-modality systems from Classical to Medieval Chinese. Key contributions include analyses of modal expressions, negation cycles, and syntactic changes in Buddhist Chinese texts. She employs formal syntactic frameworks to examine historical developments while integrating semantic and pragmatic dimensions. Her publications reveal strong trends in modality research (25% of output), diachronic syntax (30%), and Buddhist Chinese linguistics (15%). Recent work increasingly examines cross-linguistic comparisons with Vietnamese and Sogdian, reflecting broader typological interests. Methodologically, she combines corpus-based analysis with theoretical syntax to reconstruct historical grammatical systems. Meisterernst has presented at over 50 international conferences including IACL, EACL, and specialized workshops across Asia, Europe, and North America. Her extensive fieldwork includes collaborations with Academia Sinica, Tsing Hua University, and the International Dunhuang Project. She leads major research projects on pre-Tang Chinese verb phrase development and Silk Road linguistic interactions, securing continuous funding for collaborative work between European and Asian institutions since 2010.

Benjamin Lucas MeisnitzerView profile

Professor

• Romance Linguistics
• Language Change
• Grammaticalization
• +8 more

Prof. Dr. Benjamin Lucas Meisnitzer holds the Chair of Romance Linguistics with a Focus on Hispanic and Lusitanian Studies at the University of Leipzig since 2018. He previously held academic positions at Johannes Gutenberg University Mainz (Assistant Professor, 2014-2018) and Ludwig Maximilian University Munich (Lecturer, 2010-2014). As Vice Dean for Studies (since 2023) and President of the German Lusitanists Association (since 2021) , he bridges institutional leadership with research excellence. Education : LMU Munich (Magister Artium in Romance Philology/German Linguistics, 2006) and Universidade Nova Lisbon (2001-2006). Research Interests span multiple dimensions of Romance languages, including: Language Change & Grammaticalization (e.g., temporal semantics, modality, diachronic morphosyntax) Language Contact & Variation (e.g., Spanish/Portuguese in Latin America/Africa, Catalan/Galician/Basque) Applied Linguistics (e.g., L3 acquisition, phraseology in teaching, digital media) Pluricentricity (e.g., standardization processes, non-dominant varieties) Theoretical Syntax & Pragmatics (e.g., modal particles, clitics, tense-aspect-modality interactions) Article Trends reflect his expertise in: Comparative analysis of Ibero-Romance varieties in diachrony and contact scenarios Grammaticalization of modality and evidentiality markers Standardization challenges in African Portuguese and Lusophone contexts Digital media’s impact on language acquisition and variation Creole languages and typological hybridity Academic Leadership : Co-Director of the DFG-AHRC CrossMoGram project (with University of Central Lancashire) Chairman of the Doctoral Committee for Linguistics at Leipzig Visiting professorships in Brazil (UFRN, USP, UFFS) and Mozambique (Universidade Rovuma) Teaching emphasizes: Contrastive grammar (Spanish-Portuguese-German) Sociolinguistics and language policy Multilingualism in educational contexts Historical development of Romance languages

Tim BlackwellView profile

Senior Lecturer

• Swarm Intelligence
• Computer Music
• Cellular Automata
• +3 more

Tim Blackwell is a Senior Lecturer in the Computing Department at Goldsmiths, University of London. He holds a BSc in Physics (1980), a DPhil in Theoretical Physics (1984), and an MSc in Computer Science (2001). His research focuses on swarm intelligence, computational music, and optimization algorithms, with notable contributions to particle swarm optimization and tomographic reconstruction. Education: BSc Physics, 1980 DPhil Theoretical Physics, 1984 MSc Computer Science, 2001 His work bridges computational methods with artistic and scientific applications, including projects like 'A Sound You Can Touch' and 'Swarm Techtiles.' Recent research explores optimization benchmarks, environmental applications (e.g., illegal fishing detection), and evolutionary algorithms. Key publications span journals like IEEE Transactions on Evolutionary Computation and conferences such as GECCO. His work emphasizes interdisciplinary approaches, integrating computational techniques with fields like music, image processing, and environmental science.

Mehdi NorouziView profile

Associate Professor

• Computer Vision
• Video Analysis
• Deep Learning
• +2 more

Mehdi Norouzi is an Associate Professor at the University of Cincinnati in the Department of Computer Science. His research focuses on video structure analysis and deep video understanding, with applications in medical imaging and social media analysis. Research interests include: Video temporal segmentation and scene detection Deep learning approaches for video summarization Language-guided video analysis frameworks Medical video processing applications His publications demonstrate a consistent focus on applying machine learning techniques to structural engineering problems through 2015-2018, shifting toward computer vision and transformer networks in recent years (2022-2023). This reflects an evolution from infrastructure diagnostics to advanced video analysis. Dr. Norouzi has secured multiple research grants from entities including the Federal Highway Administration and Department of Transportation, focusing on video analysis, structural monitoring, and machine learning applications. Current projects involve facial/skeletal tracking for medical applications and soil modulus prediction models.

Jennifer CulbertsonView profile

Professor

• Cognitive Linguistics
• Language Acquisition
• Typological Universals
• +5 more

Professor Jennifer Culbertson is a faculty member in the Department of Linguistics and English Language at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. Her research focuses on understanding how linguistic patterns emerge from cognitive biases and learning processes, particularly through experimental methods involving artificial language learning and computational modeling. She investigates typological universals, word order preferences, and morphological systems, emphasizing their cognitive and communicative foundations. Her current research explores how speakers' cognitive representations of gender and number morphology influence cross-linguistic tendencies in morpheme order, as well as the interplay between communicative efficiency and social biases in language learning. She supervises PhD students in areas including experimental syntax, language evolution, and cognitive linguistics. Culbertson has published extensively in top journals such as Cognition , Language , and Cognitive Science . Publications include studies on word order universals derived from silent gesture experiments, the role of simplicity in linguistic evolution, and experimental evidence for cognitive biases shaping morpheme order. Recent work (2024) highlights a universal bias in word order preferences even among speakers of non-harmonic languages.

Jiyoung KimView profile

Senior Lecturer

• Korean language and linguistics
• Korean language pedagogy
• Second language acquisition
• +1 more

Jiyoung Kim serves as a Senior Lecturer in the Department of East Asian Languages and Cultures at Indiana University Bloomington's Hamilton Lugar School of Global and International Studies. She teaches elementary and third-year Korean courses (EALC KOR 101/301) and holds a PhD in Linguistics from the University of Hawaii at Manoa (2014), specializing in Korean language structures and pedagogy. Her academic background includes: PhD, University of Hawaii at Manoa, 2014 Dr. Kim's research centers on Korean grammatical phenomena—including imperfective aspect markers and modal verbs—and their acquisition by second language learners. She develops project-based curriculum frameworks for college-level Korean while integrating visual culture into pedagogical approaches, bridging theoretical linguistics with classroom practice to address learner challenges in morphosyntax and discourse. Publication analysis reveals consistent focus on Korean linguistic structures within acquisition and discourse contexts, with evolving emphasis from grammatical analysis (2009-2013) toward curriculum innovation through project-based learning (2015), demonstrating applied scholarship for Korean language education. No scientific awards are documented in the source material. Details regarding student advising, research grants, laboratory facilities, or collaborative research teams are unavailable in the provided documentation.

• Computational Fluid Dynamics (CFD)
• Hydraulic Turbines
• Cavitation Modeling
• +4 more

Jean Decaix is a Researcher at the University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis - Haute Ecole d'Ingénierie ) within the Department of Energy and Environmental Techniques . His work focuses on hydropower systems , computational fluid dynamics (CFD) , and cavitation modeling for hydraulic turbines. Decaix contributes to projects like SCCER-SoE (Supply of Electricity center) and XFlex Hydro , aiming to enhance grid stability through advanced turbine operation. Decaix's research spans Francis and Pelton turbines , with a focus on flow topology , unsteady cavitating flows , and hydraulic short-circuit modes . He develops freely distributable CFD tools for building airflow and turbine efficiency, validated through experimental measurements and numerical simulations . Notable projects : SCCER-SoE (2017-2020): Innovation roadmaps for geothermal and hydropower Solution de transfert d'énergie par pompage-turbinage à petite échelle (2015-2017): Economic model development for small-scale hydropower Decaix's 15 most recent publications (2015-2024) cover topics like cavitation suppression , vortex rope dynamics , Pelton turbine efficiency , and CFD validation for building energy systems. His work emphasizes renewable energy integration and mechanical stress reduction in hydropower plants.