جست‌وجوی استاد و پژوهشگر

Amir Sadovnikمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Deep Learning
• +۱۱ مورد دیگر

Amir Sadovnik is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD in Electrical and Computer Engineering from Cornell University and a BEng from The Cooper Union. Previously, he served as an Assistant Professor at Lafayette College, where he focused on undergraduate education and curriculum innovation. His educational background includes: PhD in Electrical and Computer Engineering, Cornell University, 2014 BEng in Electrical and Computer Engineering, The Cooper Union, 2009 Amir Sadovnik's research lies at the intersection of computer vision, machine learning, and human-computer interaction, with a strong focus on human-centered problems. His work explores how humans perceive and interact with visual content, leading to research in emotion recognition, face similarity, fashion compatibility, blur detection, and reinforcement learning. He leverages deep neural networks to tackle subjective tasks that are challenging for machines but intuitive for humans. His research also extends into bioinformatics, where he applies machine learning to genome analysis and sequence similarity. The 15 most recent publications reflect a consistent trend in using deep learning for perception-driven tasks. These include emotion prediction, face and object similarity, adversarial robustness, and biomedical data analysis. His work often integrates attention mechanisms, U-Net architectures, and reinforcement learning frameworks, demonstrating a multidisciplinary approach across computer vision, signal processing, and computational biology. While no formal scientific awards are listed in the provided texts, his involvement in grant-funded projects, such as the NSF-funded 'CS for Appalachia' initiative, highlights recognition of his educational and research contributions. Amir Sadovnik is actively engaged in teaching and mentoring. He has taught graduate and undergraduate courses including ECE 517 (Reinforcement Learning), ECE 574 (Computer Vision), and COSC 525 (Deep Learning). He has also led curriculum redesign efforts to make computer science more inclusive, particularly through integrating digital humanities into introductory programming courses. His educational grants and projects emphasize interdisciplinary learning and real-world data applications. He is involved in a research-practice partnership (NSF Grant No. 1923509) aimed at bringing computer science education to K–12 schools in East Tennessee. He leads research projects such as Easy Visual Question Answering with Video and Counting, and developed the educational tool Code-A-Story to integrate computer science with literacy for elementary students. These projects reflect his commitment to both cutting-edge research and accessible, impactful education.

Daniela Puatoمشاهده پروفایل

دانشیار

• German linguistics
• Specialised languages (medical and economic German)
• German-Italian contrastive linguistics
• +۴ مورد دیگر

Daniela Puato is Associate Professor of German Language and Linguistics at the Department of European, American and Intercultural Studies , Sapienza University of Rome, where she has been a permanent faculty member since 2010. She is also series editor of Studies in European Linguistics (Sapienza Università Editrice) and sits on the scientific committees of several linguistic journals and book series. Education: Degree in Modern Foreign Languages and Literatures, Sapienza University of Rome National Scientific Qualification (ASN) as Associate Professor, Sector 10/M1 (Germanic Languages, Literatures and Cultures), 2018 Research Interests: German specialised languages , with particular emphasis on medical and economic discourse German-Italian contrastive linguistics and comparative analysis of grammar and lexicon Theoretical and didactic German grammar , especially for Deutsch als Fremdsprache (DaF) Specialised translation (German-Italian) and its pedagogy Text linguistics and pragmatics applied to professional genres (financial press, medical leaflets) Her recent publications (2020-2024) cluster around two major strands: (1) the linguistic complexity of German financial communication—analysing investment recommendations, stock-market magazines, and simplified-language initiatives such as Leichte Sprache ; and (2) the semantic-pragmatic dimensions of German grammar as presented in DaF teaching materials, including tense usage, participial attributes, and passive constructions. These works highlight a consistent effort to bridge linguistic theory with pedagogical practice. Scientific roles and editorial activity: Director, book series Studies in European Linguistics , Sapienza Università Editrice Editor, Linguistics & Autodidacticism section, journal Costellazioni Scientific committee member, Estuary series (Bulzoni) Teaching commitments include undergraduate and graduate courses in German Language (II & III), Advanced German Translation, and specialised translation practice. Office hours are held on Friday afternoons by appointment via e-mail. Current research project: German Grammar between Science and Teaching: Germanic-Slavic Studies , reflecting her ongoing interest in integrating grammatical description with language pedagogy.

Fabian Schlauschمشاهده پروفایل

پژوهشگر

• Special Education
• Digital Inclusion
• Assistive Technologies
• +۳ مورد دیگر

Fabian Schlausch serves as a Researcher at the Chair of Education for Physical and Complex Disabilities within the Institute for Special Education at the Faculty of Human Sciences, University of Würzburg. Appointed Research Assistant and Project Coordinator for the PadiT project in October 2024, he contributes to advancing inclusive educational methodologies through digital innovation. His academic background includes: 10/2018–09/2024: Special education teaching (major: Physical Education for the Physically Disabled) and secondary school didactics (mathematics, work studies, sports) at University of Würzburg 02/2023–07/2023: Philosophy and Education studies at Aristotle University of Thessaloniki Research centers on harnessing digitalization and artificial intelligence to enable inclusion, with specific expertise in Web 4.0 frameworks, assistive technologies, and AI-driven accessibility solutions. His startup KLAO.eu exemplifies this focus through AI-generated easy language content. Key recognition: Social Impact Award Germany (October 2024) Professional activities span project coordination for PadiT, teaching winter semester 2024 courses in digital education and social media, and international teaching experience in Thailand and India. He operates within the Chair of Education for Physical and Complex Disabilities team, driving initiatives that bridge technology and special educational needs.

• Quantitative Research Methods
• Statistics
• Health Care Research
• +۵ مورد دیگر

Professor Luzi Beyer serves as Professor for Methods of Quantitative Research in Social and Health Care at Alice Salomon University of Applied Sciences Berlin (ASH Berlin) since 2017, where she also holds leadership positions as Head of the Master's program in Practical Research in Social Work and Education (since 2021) and Vice Dean of Department I (since 2023). Her academic career spans over two decades with previous appointments at Humboldt University of Berlin (1996-2011), H:G University of Health and Sport (2010-2013), and HMKW University of Applied Sciences (2013-2017). Professor Beyer earned her Dr. rer. nat. from Humboldt University of Berlin in 2001 with a dissertation titled "Components of the training and use of inductive knowledge," following her training as a graduate psychologist. Her professional development reflects a strong commitment to methodological rigor and practical application in social and health care research. Her research program focuses on innovative applications of quantitative methods to address pressing challenges in mental health and social care. Current work centers on developing AI-supported screening portals for traumatized refugee minors (TRAM project funded by BMBF), evaluating serious games for health promotion among older adults (BARMER-funded project), and investigating mental and physical health of students in diverse learning environments. She specializes in human-technology interaction to improve mental health outcomes, with particular attention to vulnerable populations including refugees, older adults, and students facing diverse challenges. Her methodological expertise spans statistical analysis, research design, and evaluation frameworks applicable across social and health sciences. Professor Beyer has secured significant research funding from major organizations including BMBF (Federal Ministry of Education and Research) and BARMER (German healthcare insurance provider). Her current projects involve interdisciplinary collaborations across multiple institutions, with emphasis on translating research findings into practical applications that improve health outcomes and social services. She has published extensively in peer-reviewed journals and conference proceedings, with recent work focusing on mixed-methods approaches, digital interventions, and inclusive research design. As an active member of the German Society for Psychology (DGPs) and the Association of German Psychologists (BDP), Professor Beyer contributes to professional discourse in her field. She serves on the board of ZeE eV (Center for Empirical Evaluation Methods) and participates in numerous academic committees focused on research methodology, ethics, and the application of digital technologies in health care and social work. Her work bridges theoretical research with practical implementation, emphasizing accessibility and relevance to real-world challenges in social and health care systems.

Ines Boseمشاهده پروفایل

استاد

• Development of children's communication abilities
• Phonetically and rhetorically oriented conversation research
• Temporal structure of freely spoken utterances
• +۷ مورد دیگر

Prof. Ines Bose is a Professor of Speech Science and Phonetics at the Department of Speech Science and Phonetics, Institute for Music, Media and Speech Sciences (IMMS) at Martin Luther University Halle-Wittenberg. She has held significant academic leadership positions including Vice Dean of the Faculty of Arts II (2010-2018) and Chair of the Doctoral Committee (2010-2018). Currently, she serves as a Member of the Academic Senate (2018-present) and remains actively engaged in multiple research initiatives focusing on speech science, phonetics, and communication studies. Prof. Bose completed her habilitation in 2003 with a thesis on speech expression in children's play communication and earned her doctorate in 1989 with research on phonetically oriented analysis of freely spoken language. She studied speech science with German studies from 1980-1984. Her academic journey includes leadership roles such as Head of the Vladimir Admoni Doctoral Program "Linguistics and Speech Science" (2020-2022) and she was offered a W2 professorship at Philipps University of Marburg in 2012 (which she declined). Prof. Bose's research spans multiple interconnected domains within speech science. Her primary focus is on the development of children's communication abilities, particularly examining argumentation skills and expressive capabilities in preschool settings through conversation analysis. She investigates temporal structures of spoken utterances and vocal-articulatory expression across various contexts including radio communication. Her work on rhetorical communication in radio explores radio aesthetics, voice characteristics, and news comprehension. Additionally, she develops practical applications of phonetics and rhetoric in foreign language teaching and analyzes the prosodic features of German language. Her recent scholarly output demonstrates consistent focus on child communication development, media speech analysis, and practical applications of speech science. The publications reveal methodological diversity incorporating empirical research, conversation analysis, and cross-cultural comparisons. A notable trend is the increasing interdisciplinary nature of her work, bridging linguistics, psychology, education, and media studies to address complex communication phenomena, particularly in educational settings and media production. Co-editor of "Schriften zur Sprechwissenschaft und Phonetik" (SSP) since 2015 Co-editor of "Reflexionen des Gesellschaftlichen in Sprache und Literatur" since 2012 Board Member of German Society for Speech Science and Speech Training (DGSS e. V.) Her research is characterized by strong practical applications, particularly in educational settings and media production. She has developed training materials for reading aloud, conversational competence, and speech effectiveness in various contexts. Her work with childcare facilities demonstrates commitment to translating theoretical insights into practical communication strategies for educators and children, with ongoing empirical research on conversations between educators and children in kindergartens.

Sabine Sieghartمشاهده پروفایل

مدرس

• Typography
• Accessibility Design
• Easy-to-Read (ETR)
• +۴ مورد دیگر

Sabine Sieghart is a designer, lecturer, and design researcher with 25 years of high-profile corporate industry experience. She has taught typography and editorial design since 2003, conducting PhD research funded by an FWO scholarship on improving digital media readability for people with cognitive impairments. As a DIN committee member, she shapes visual guidelines for DIN SPEC 33429 easy-to-read language standards. Education PhD in Design (FWO Scholarship recipient) Research Interests Her work pioneers typography solutions for cognitive accessibility, demonstrating that dynamic fonts outperform static Arial in reading speed for Easy-to-Read (ETR) users. She investigates how macro-typographic features, genre-typical design patterns, and visual cues enable independent interaction with digital interfaces—focusing on intuitive simplicity, hierarchical structure, and multi-path task completion for ETR audiences. Current studies develop design variations for smartphone applications to empower user autonomy in event selection, appointment confirmation, and request initiation. Scientific Awards FWO Scholarship Grants and Professional Activities Her doctoral research was exclusively supported by an FWO scholarship. As a key contributor to Germany’s DIN SPEC 33429 standard, she defines visual accessibility benchmarks for easy-to-read language, bridging academic research with real-world design implementation through committee leadership.

Alan Stuart Edelmanمشاهده پروفایل

استاد

• Scientific Computing
• Numerical Linear Algebra
• Random Matrix Theory
• +۵ مورد دیگر

Alan Edelman is a Professor of Applied Mathematics at the Massachusetts Institute of Technology (MIT) and a Principal Investigator at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He leads the MIT Julia Lab and serves as chief scientist at Julia Computing. Edelman received his BS and MS from Yale University and PhD from MIT in 1989 under Lloyd N. Trefethen. His research spans high-performance computing, numerical computation, linear algebra, random matrix theory, and scientific machine learning. Edelman is particularly known for his work on the geometry of algorithms with orthogonality constraints, the generalized singular value decomposition, and applications of Lie algebra to matrix factorizations. His computational thinking class has gained worldwide recognition for its unique integration of computer science, mathematics, science, and engineering. Edelman has received numerous prestigious awards including the Chauvenet Prize (1998), IEEE Computer Society Charles Babbage Award (2015), IEEE Sidney Fernbach Award (2019), and the James H. Wilkinson Prize for Numerical Software. He is a fellow of ACM, SIAM, AMS, and IEEE. ACM Fellow (2020) for contributions to algorithms and languages for numerical and scientific computing IEEE Fellow (2017) for contributions to the development of technical-computing languages AMS Fellow (2015) for contributions to random matrix theory, numerical linear algebra, high-performance algorithms, and applications SIAM Fellow (2011) for contributions in bringing together mathematics and industry Edelman founded Interactive Supercomputing in 2004 (later acquired by Microsoft) and co-created the Julia programming language with Jeff Bezanson, Stefan Karpinski, and Viral Shah. The language solved the long-standing two-language problem in computing, being as easy as Python and as fast as C. Julia is widely used at institutions including MIT, Stanford, BlackRock, US Federal Reserve, and NASA. His 2023 Amazon Research Award focused on Scientific Machine Learning with Application to Probabilistic Climate Forecasting and Sustainability. As leader of the MIT Julia Lab, Edelman supervises work on scientific machine learning and compiler methodologies. His research group has developed widely adopted tools used across academia and industry for solving large-scale scientific problems in fields ranging from finance to pharmaceuticals.

• Literary Studies
• Health Humanities
• Religious Studies
• +۳ مورد دیگر

Ulrika Lif is a University Lecturer and doctoral student in Literary Studies at Mid Sweden University's Department of Humanities and Social Sciences. She serves as Program Manager (shared with Roger Edholm) and leads the Supported Education initiative (2021-). Academic Affiliations: Mid Sweden University, Department of Humanities and Social Sciences Doctoral Research: Ongoing studies at Åbo Akademi University Research Interests focus on: Lars Ahlin's radical equality theories in literary works Intersections of fiction and health narratives Religious and non-religious rituals in literature Sofia mystique and mother motifs Animal ethics and ecological perspectives in texts Recent Publications examine: Therapeutic applications of literary analysis in healthcare Comparative religious symbolism in Ahlin and Dostoevsky Ecocritical approaches to Northern literature Psychological and social dimensions of shame in literary works Scientific Awards include: 2023 Merited Teacher award 2012 Mid Sweden University Equal Opportunities Award (shared) Additional Contributions : Co-author of short film scripts screened at Göteborg and Umeå Film Festivals (2005-2009) Collaborated on accessibility initiatives with 'Easy to Read' language adaptation 2021 report on equitable conditions in doctoral education

Ingo Reichمشاهده پروفایل

استاد

• Semantics
• Pragmatics
• Interface Phenomena
• +۷ مورد دیگر

Ingo Reich is a Professor of Semantics and Pragmatics at Saarland University, leading research on linguistic encoding and information density. As Principal Investigator for projects B3 and T1 within the SFB 1102 Collaborative Research Center, he explores interface phenomena like coordination, ellipsis, and anaphora. He also serves as Scientific Coordinator for the Integrated Research Training Group (IGK), mentoring graduate students and collaborating with researchers such as Elke Teich and Heiner Drenhaus. Current Role: Professor, Saarland University Projects: SFB 1102 B3, T1, IDeaLite Contact: i.reich@mx.uni-saarland.de | C5.3 Room 3.10 His research combines systematic and psycholinguistic approaches to study how information is encoded in German, particularly in "Leichte Sprache" (Easy Language). Projects analyze ellipsis redundancy, coordination structures, and cognitive processing mechanisms, contributing to theoretical models of linguistic competence. Recent work focuses on SFB 1102 initiatives, emphasizing interdisciplinary collaboration between linguistics, information theory, and language acquisition studies. The secretariat for his department (Constanze Göbel) coordinates administrative matters and inquiries.

Jonathan Berantمشاهده پروفایل

دانشیار

• Natural Language Processing
• Semantic Parsing
• Question Answering
• +۶ مورد دیگر

Jonathan Berant is an Associate Professor at the Blavatnik School of Computer Science, Tel-Aviv University, and a Research Scientist at the Allen Institute for Artificial Intelligence. Currently on leave of absence at Google (based in Seattle) until summer 2026, he has established himself as a leading researcher in Natural Language Processing with significant contributions to semantic parsing, question answering, and weak supervision techniques. His research focuses on Natural Language Understanding problems including Semantic Parsing, Question Answering, Paraphrasing, Reading Comprehension, and Textual Entailment, with particular interest in learning from weak supervision that is easy to obtain and grounded in the world, as well as tasks requiring multi-step inference or handling of language compositionality. His work bridges theoretical foundations with practical applications in language understanding systems. Berant's recent publications demonstrate strong trends in language model alignment, robustness, and reasoning capabilities, with significant contributions to understanding how language models process information and how to make them more reliable. His work spans from fundamental NLP tasks to addressing critical challenges in modern large language models. Senior area chair outstanding paper award (NAACL 2025) Outstanding paper award (ICLR 2024) Spotlight talk (NeurIPS 2023) Spotlight talk (3% of submissions) (NeurIPS 2022) Oral presentation (NeurIPS 2021) Berant has advised numerous PhD and Master's students who have gone on to positions at leading AI companies and research institutions including Google, AI21, Allen Institute for AI, and academic programs. His teaching includes advanced NLP courses and research seminars at Tel-Aviv University. His educational background includes a Ph.D. from Tel-Aviv University (2006-12) with advisors Ido Dagan, Jacob Goldberger, and Eytan Ruppin, followed by postdoctoral work at Stanford University with Percy Liang and Chris Manning, and at Google Mountain View.

• Human-Computer Interaction
• User Experience Design
• Health Informatics
• +۷ مورد دیگر

Vero Vanden Abeele is an Associate Professor in Human-Computer Interaction at KU Leuven's Department of Computer Science (Faculty of Engineering Technology). Her research focuses on user experience design, health-focused gamification, and motivational design in healthcare technology. She co-founded TinkerList, a live media production tool with superior UX. Vero holds a master's in industrial design from the University of Antwerp and a PhD in Social Sciences from KU Leuven. Her work bridges HCI with healthcare applications, including VR rehabilitation systems (e.g., HEMIRehApp for neglect therapy), wearable sensor technologies for continence care, and explainable AI interfaces in health dashboards. She leads KU Leuven's Human-Computer Interaction group and collaborates with MINTlab and the e-Media Research Lab. Vero actively contributes to the games research community as a CHI PLAY steering committee member. Recent studies explore clinical decision support systems for digital biomarkers, algorithmic explanations in health apps, and gamified chronic pain management. Her research emphasizes human-centered design principles across medical, educational, and elderly care contexts. Affiliations: KU Leuven's Faculty of Engineering Technology, MINTlab, HCI@GroepT, e-Media Research Lab Key Projects: Glaucoma Easy Screener (GES), HEMIRehApp VR therapy system, TinkerList startup Methodological Focus: Mixed-methods research, participatory design, algorithmic transparency

Nhan Tranمشاهده پروفایل

مدرس

• Applied Linguistics
• Language Education
• Intercultural Communication
• +۳ مورد دیگر

Nhan Tran is a Lecturer in the Department of Foreign Languages at Rajamangala University of Technology Srivijaya, Songkhla, Thailand. They graduated in 2019 from Newcastle University with a PhD in Education and Communication, where they studied the research philosophy and engaged in collaborative discussions with peers. Their academic journey included participation in Newcastle University's International Welcome Week, which provided orientation, sightseeing, and networking opportunities. During their time in Newcastle, Tran praised the university's facilities, including modern computer labs and library resources, which supported their thesis writing. They resided in university accommodations (Henderson Hall and Leazes Terrace), highlighting their comfort and proximity to key locations. Living in Newcastle was described as enjoyable, with affordable costs, vibrant cultural spots like Chinatown, and easy access to beaches. Tran's current role involves teaching, leveraging skills and knowledge gained from their postgraduate research. Their professional focus aligns with educational and communication disciplines, emphasizing practical applications of academic study in teaching practice.

Maria Andreea Deleanuمشاهده پروفایل

پژوهشگر

• Media Accessibility
• Audio Description
• Audiovisual Translation
• +۴ مورد دیگر

Maria Andreea Deleanu is a Researcher at the Centre for Translation Studies, University of Surrey, specializing in Media Accessibility solutions for cognitively diverse audiences through innovative Audio Description and Easy Language applications. Her core research explores reducing cognitive load in multimodal communication via repurposed Audio Description, Audio Narrative, and creative captioning using Easy-to-Understand (E2U) language varieties. Key interests include Audiovisual Translation, Accessible Communication frameworks, and overcoming cognitive barriers through linguistic simplification and corpus-based adaptation strategies. Recent publications analyze E2U language guideline compliance and adaptation effectiveness, revealing critical patterns in professional text modifications that enhance accessibility while maintaining narrative immersion. Her work bridges academic research with practical implementation in social inclusion contexts. Deleanu actively contributes to ESIST (European Association for Studies in Screen Translation) and EST (European Society for Translation Studies), and collaborates on the EU-funded EASIT project developing Easy Access for Social Inclusion Training, specifically focusing on Unit 3 applications of E2U language in Audio Description for visually impaired users.

Johan Falkenjackمشاهده پروفایل

مدرس

• Text Complexity Analysis
• Educational Technology
• Machine Learning
• +۳ مورد دیگر

Johan Falkenjack is a Lecturer at the Department of Computer and Information Science (IDA) at Linköping University, specializing in Human-Centered Systems (HCS). His research focuses on text complexity analysis, readability assessment, and educational technology, particularly using Bayesian Probit models and machine learning techniques for Swedish language texts. He concurrently pursues doctoral studies (Doktorand). Key research areas include developing tools like T-MASTER for automated reading ability assessment, cross-source text classification, and multivariate analysis of readability features. His work spans from foundational studies in 2012 to recent advancements in 2025, emphasizing practical applications in education and accessibility. No scientific awards are explicitly listed. His research outputs align closely with IDA’s focus on human-centered computational systems, with publications addressing both theoretical models and applied tools for text analysis.

Dite Liepaمشاهده پروفایل

استادیار

• Sociolinguistics
• Language Education
• Language Acquisition
• +۶ مورد دیگر

Dite Liepa is an Assistant Professor at the College of Social Sciences, Riga Stradins University. She specializes in sociolinguistic research, language education, and easy-to-read language development. Roles: Assistant Professor, Curriculum Validation Expert Key collaborations: Rīgas Tehniskā universitāte, Latviešu valodas aģentūra Research interests focus on: Language acquisition and sociolinguistic dynamics in Latvia Easy-to-read language applications for vulnerable populations Lexical and word formation analysis Media language quality assessment Prejudice in educational contexts Special needs language accessibility Recent publications (2024) highlight trends in language simplification , minority teacher challenges , and cognitive accessibility for people with special needs. Her work bridges academic linguistics with practical language policy implementation.