جست‌وجوی استاد و پژوهشگر

• Performance Management
• Sustainability Reporting
• Corporate Social Responsibility (CSR)
• +۵ مورد دیگر

Dr. Habib Khan is an Associate Professor of Accounting and Director of the Master of Professional Accounting (MPA) Program at the Canberra Business School, University of Canberra. He serves as an Associate Editor for the Accounting Research Journal (Emerald Publishing) and is a Board Member of CPA Australia ACT Divisional Board. His research focuses on performance measurement systems, sustainability reporting, corporate social responsibility (CSR), and institutional influences on accounting practices in developing countries, with a particular emphasis on banking sectors and SDG implementation. He actively supervises PhD students and has published extensively in top-tier journals, contributing to debates on mandatory sustainability disclosures, carbon reporting quality, and corporate governance frameworks. Research Interests: Dr. Khan's work explores multi-dimensional performance measurement, institutional theory applications, and the intersection of accounting practices with environmental and social sustainability goals. He examines how corporate governance structures and regulatory environments shape reporting practices, particularly in developing economies. Recent studies include analysis of modern slavery disclosures, SDG implementation challenges, and the transition from voluntary to mandatory CSR frameworks. Key Contributions: His publications highlight empirical insights into banking sector compliance with sustainability standards, the role of intangible assets in organizational performance, and the impact of readability in modern slavery reports. He has pioneered frameworks for evaluating green banking disclosures and their financial implications, contributing to policy discussions in ASEAN countries and Bangladesh. Awards & Recognition: [No specific awards mentioned in provided text.] Professional Roles: Beyond academia, Dr. Khan advises on higher education reforms, SME empowerment strategies in ASEAN, and institutional challenges in accounting profession development. His editorial work and CPA Australia board membership reflect his influence in shaping professional accounting standards and practices.

Robin T Higashiمشاهده پروفایل

پژوهشگر

• Digital Health Technologies
• Health Equity
• Medical Anthropology
• +۴ مورد دیگر

Robin T Higashi is a medical anthropologist and health services researcher at the University of Texas Southwestern Medical Center , with a focus on School of Public Health initiatives. She specializes in evaluating and optimizing digital health technologies for marginalized populations, particularly Spanish-speaking communities and individuals with limited English proficiency. Co-Principal Investigator in NIH R01 studies on avoidable hospital admissions and HIV prevention Director of Spanish translation and cognitive interviewing services for public health materials Nationally recognized mentor in qualitative and mixed methods research Research Themes include: Equity in multilingual health communication Digital health access for vulnerable populations Medical anthropology of biomedical systems Qualitative evaluation of patient portals Language barriers in vaccine distribution Health disparities among formerly incarcerated individuals Key Contributions involve: Identifying structural factors in Spanish-speaking patients' portal usage Developing culturally appropriate health materials Advancing methods for assessing health communication accessibility Advocating for language equity in emergency response systems Her work has been funded through NIH grants including P30 CA142543 and UL1 TR001105 , with applications in cancer care, HIV prevention, and veteran health programs.

• E-learning
• Computer Science Education
• Educational Technology
• +۴ مورد دیگر

Janko Žufić, M.Sc.ing, is a Senior Lecturer at the Faculty of Educational Sciences, University of Pula, Croatia. He holds degrees in Electrical Engineering with a major in Automation from the Faculty of Electrical Engineering and Computing (FER) in Zagreb (1993) and pedagogical competences acquired in 2001. A certified computer science professor since 2002, he has dedicated his career to bridging technology and education, with particular emphasis on e-learning systems and computer science education. Employment History: Private sector work (1993-1999), teaching roles in primary/secondary schools (1998-2002), head of IT support at Faculty of Educational Sciences (2002-present), Senior Lecturer since 2007, and part-time teacher at Algebra Group. Research Focus: E-learning optimization, microlearning, educational technology design, programming pedagogy for elementary grades, and human factors in computing. His scholarly work spans 20+ publications, with recent studies exploring ChatGPT's educational implications (2025), video-based microlearning (2024), and gamification in computer science education (2022). He has also contributed to understanding the role of color and typography in digital learning environments (2009-2019). Žufić's practical expertise includes developing Web 2.0 tools for educators (2017), creating three books, and mentoring students in producing approximately 50 films. As an active project manager, he has coordinated two EU-funded initiatives and over 80 smaller projects focused on social and technical sciences, supported by organizations ranging from Zagreb Bank to Croatian employment agencies and Istrian municipalities. His academic rank was last renewed on January 24, 2018, within the field of Information and Communication Sciences, specializing in Information Systems.

İbrahim DOYUMĞAÇمشاهده پروفایل

استادیار

• Turkish Education
• Teaching Turkish to Foreigners
• Linguistics
• +۳ مورد دیگر

İbrahim DOYUMĞAÇ is an Assistant Professor at Adıyaman University's Faculty of Education, Department of Turkish and Social Sciences Education. He holds a PhD from Atatürk University and has served as a Lecturer at Harran University's Turkish Education Application and Research Center (2017-2019) before joining Adıyaman University as a Research Assistant in 2019. His academic career includes roles such as Research Assistant Dr. (2022-2024) and current position since 2025. He is also the Deputy Director of a Research and Application Center since 2023. Education: BSc from Erzincan University (2010-2014), MA from Adıyaman University (2015-2017), PhD from Atatürk University (2017-2022). Research focuses on Turkish education, teaching Turkish to foreigners, linguistics, and pedagogical methods. Notable publications include analyses on language-mathematics interplay, self-efficacy in writing, and cross-cultural perceptions in Turkish learning. He actively participates in TÜBİTAK projects as a researcher and consultant, contributing to studies on educational technology, literacy, and pandemic-era learning. Key projects include: Research on AI-driven writing problem detection (2024) Photovoice methodology for online education barriers (2021) Development of Turkish language teaching materials (various years) Labs/Teams: Leading initiatives at Adıyaman's research centers focusing on language pedagogy and educational innovation.

Hong Cuiمشاهده پروفایل

استاد

• Machine Learning
• Natural Language Processing
• Semantic Annotation
• +۳ مورد دیگر

Hong Cui is a Professor at the University of Arizona's College of Information Science, where she leads the biosemantics research group. Her work focuses on developing machine learning and natural language processing algorithms to convert biodiversity literature into machine-readable Semantic Web formats, enabling computers to interpret scientific information previously accessible only to humans. Her research spans critical areas in computational biology: Machine Learning for Semantic Annotation of Taxonomic Descriptions Natural Language Processing in Biodiversity Informatics Ontology Engineering for Biological Domains Unsupervised Learning Applications in Phenomics XML Markup Systems for Scientific Literature Analysis of her 2012-2015 publications reveals consistent innovation in transforming taxonomic literature through tools like OTO (Ontology Term Organizer) and MARTT (Automatic Markup of Taxonomic Descriptions), with applications spanning phenotypic diversity description, botanical knowledge portals, and cross-lingual semantic annotation. Her work bridges computer science and biological sciences through semantic technologies. Dr. Cui serves as principal investigator on multiple National Science Foundation-funded projects, with methodologies adopted internationally by research groups in the US and abroad. She mentors students through her biosemantics research group, advancing computational approaches to biodiversity data. The biosemantics research group operates at the intersection of information science and biology, developing infrastructure for next-generation phenomics and semantic annotation systems that process both born-digital and digitized scientific literature.

Alessia Battistiمشاهده پروفایل

پژوهشگر

• Sign Language Technology
• Accessibility
• Natural Language Processing
• +۳ مورد دیگر

Alessia Battisti is a Researcher and Ph.D. candidate at the University of Zurich , Faculty of Arts, affiliated with the Language, Technology and Accessibility Group . Her research focuses on sign language technology, accessibility, and natural language processing, particularly in the context of Swiss German Sign Language. She has contributed to projects like SMILE-II (funded by an SNF Sinergia grant) and the Flagship IICT . Battisti is actively involved in academic communities as the student representative on the board of the Special Interest Group on Speech and Language Processing for Assistive Technologies (SIG-SLPAT). Research Interests include: Swiss German Sign Language assessment and learning Automated readability and text simplification Sign language annotation and feedback systems Human motion modeling for sign language analysis Multilingual dataset curation and quality evaluation Recent Publications highlight her work in sign language fluency scales, automated annotation, and German text simplification frameworks. She collaborates on international initiatives like the First WMT Shared Task on Sign Language Translation . Grants include the SNF Sinergia grant supporting the SMILE-II project. Her work intersects computational linguistics , accessibility research , and machine learning to advance sign language and simplified text technologies. Labs/Teams : Language, Technology and Accessibility Group at the University of Zurich; SIG-SLPAT Special Interest Group.

Myriam Brasمشاهده پروفایل

استاد

• Linguistics
• Semantics
• Pragmatics
• +۶ مورد دیگر

Myriam Bras is a Professor at the Cognition, Languages, Ergonomics (CLLE) research center at the University of Toulouse - Jean Jaurès. She serves as Co-head of the Languages and Language team and Co-head of the OCRE theme focused on Occitan, Romance Languages, and European Languages. Her work bridges theoretical linguistics with practical applications for language preservation and education. Professor Bras specializes in semantics, pragmatics, and discourse analysis, with particular expertise in the Occitan language. Her research encompasses temporal structures of discourse, semantics of time across lexicon, grammar and discourse, and situated linguistics focusing on language comparison in educational settings. She has developed significant computational resources for Occitan including the BaTelÒc database and TALòc tools, addressing the critical need for documentation of this UNESCO-classified endangered language. Her recent publications (2023-2025) demonstrate a strong focus on Occitan language processing, discourse coherence analysis, and developing linguistic resources for under-resourced languages. These works reveal consistent patterns of interdisciplinary collaboration across computational linguistics, language documentation, and educational applications, particularly through European-funded projects like LINGUATEC and LINGUATEC-IA. Professor Bras has secured substantial research funding through multiple European and national projects including LINGUATEC (2018-2021), LINGUATEC-IA (2024-2026), DiViTal (2021-2024), and RESTAURE (2015-2018). Her work demonstrates significant commitment to both theoretical linguistics and practical applications for language preservation, particularly for minority languages of France. She leads the development of critical language resources including the CorpusArièja (a collection of 72 texts in Occitan with dialectal and spelling variation), the ParCoLab Parallel Corpus, and Loflòc (a morphological lexicon for Occitan using Universal Dependencies). These resources support both academic research and practical language revitalization efforts.

• Linguistics
• Education
• Education in Foreign Languages
• +۵ مورد دیگر

Hüseyin Kafes is an Associate Professor at Akdeniz University, Faculty of Education , specializing in English Language Teaching . With over 15 years of academic experience, he has held roles including Assistant Professor (2013–2019) and Lecturer (2009–2013) at Akdeniz University, and Instructor positions at Anadolu University (1999–2009) and Afyon Kocatepe University (1994–1999). His research spans linguistics, academic discourse analysis, EFL teaching methodologies, and 21st-century skill integration . PhD in English Language Teaching (Anadolu University, 2009) MA in English Language Teaching (Anadolu University, 1998) BA in English Language and Literature (Selçuk University, 1989) Research Interests encompass authorial stance in academic writing, metadiscourse features , code glosses in multilingual contexts, and impact of digital tools like podcasts and Wattpad on language learning. His work frequently examines cultural and discoursal influences on writing, pronunciation anxiety, and classroom technology integration. Recent publications highlight EFL learners' reading habits during the pandemic, 21st-century skill assessment in ELT coursebooks, and network analysis of academic achievement. He leads TUBITAK-funded projects on pronunciation training and podcast-based learning , supervising 6 postgraduate theses.

Indira Senمشاهده پروفایل

پژوهشگر ارشد

• Natural Language Processing
• Computational Social Science
• Machine Learning
• +۷ مورد دیگر

Dr. Indira Sen is a Habilitation candidate at the School of Business Administration, University of Mannheim, focusing on Natural Language Processing and computational social science. Her research bridges AI and social constructs, emphasizing bias detection, data quality, and ethical implications in Large Language Models. Key Areas: NLP, Demographic Bias, Hate Speech Detection, Social Media Analytics, AI Ethics Methodology: Theory-driven synthetic data, Robustness testing, Systematic reviews Her recent publications analyze the representativeness of LLMs, political bias, and the intersection of survey methodology with computational approaches. She leads work on validating generative models and improving content moderation systems.

Jeroen Bergmannمشاهده پروفایل

استاد

• Prosthetics Engineering
• Mouth Protector
• Sensor Network Engineering
• +۱۰ مورد دیگر

Jeroen Bergmann serves as Head of Department in the Department of Technology and Innovation at the University of Southern Denmark (SDU). His research spans multiple interdisciplinary fields at the intersection of biomedical engineering, medical devices, and regulatory science. As department head, he leads academic initiatives focused on translating engineering innovations into practical healthcare solutions while navigating complex regulatory landscapes. Dr. Bergmann's research portfolio demonstrates expertise across several interconnected domains: Prosthetics and sensor technologies for medical applications Temperature monitoring and thermal behavior in biomedical contexts Medical device regulatory affairs and compliance frameworks Wearable biosensors and electronic skin technologies Sleep apnea diagnostics and home testing solutions Inertial measurement and position tracking systems Medical device software and AI applications in healthcare His work consistently bridges technical innovation with practical healthcare implementation, as evidenced by his fingerprint showing strong connections between engineering disciplines and clinical applications. Analysis of Dr. Bergmann's recent publications reveals a strategic dual trajectory: advancing biomedical sensing technologies while simultaneously developing frameworks for medical device regulation. His research shows increasing focus on AI-driven regulatory decision-making, particularly examining cross-jurisdictional compliance frameworks through approaches like RAG-based systems. Concurrently, his biomedical engineering work continues to refine oral cavity-based monitoring systems, temperature estimation methods, and sleep disorder diagnostics. The integration of physiological monitoring with environmental factors represents a novel approach in his recent work, suggesting movement toward more holistic health assessment systems that consider both internal and external variables. Dr. Bergmann's leadership role as Head of Department suggests significant administrative responsibilities alongside his research activities. His involvement in Health Innovation Day 2025 demonstrates engagement with broader healthcare innovation initiatives, while his international collaborations suggest a global research network. The department under his leadership appears to focus on technology innovation with direct healthcare applications, particularly in medical devices and regulatory science, positioning it at the critical intersection of engineering advancement and healthcare implementation.

• Computational Linguistics
• Aphasia Research
• Second Language Acquisition
• +۴ مورد دیگر

Paula José Lissón Hernández serves as Assistant Professor in the Department of Specific Didactics at the University of Las Palmas de Gran Canaria, affiliated with the GIR IATEXT research group (Linguistic Variation and Change) and the Research Institute for Textual Analysis and Applications. Her academic profile spans Social and Legal Sciences with specialization in Didactics of Language and Literature. Her research integrates computational linguistics with clinical and educational applications, focusing on sentence processing deficits in aphasia through computational modeling, second language acquisition dynamics (particularly French L3), and digital humanities methodologies. She employs corpus linguistics, R-based text analysis, and experimental psycholinguistics to investigate syntactic alternations in L2 writing, lexical progression metrics, and readability assessment across German, English, and French contexts. Analysis of her 2017-2025 publications reveals three dominant research trajectories: neurolinguistic modeling of aphasia using cue-based retrieval frameworks, corpus-based studies of lexical diversity in multilingual acquisition, and digital humanities applications of computational text analysis. These intersect at the nexus of language processing theory and practical assessment tools, with increasing emphasis on cross-linguistic validation of computational models. She actively contributes to GIR IATEXT's investigations of linguistic variation and the Textual Analysis Institute's digital humanities initiatives, collaborating with international researchers on projects bridging theoretical linguistics, language education, and cognitive science.

Joke Daemsمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Machine Translation
• Empirical Translation Studies
• +۶ مورد دیگر

Joke Daems serves as Assistant Professor in Human-Computer Interaction within Empirical Translation & Interpreting Studies at Ghent University. Affiliated with both the EQTIS research team (Empirical and Quantitative Translation and Interpreting Studies) and the LT3 Language and Translation Technology team, their academic career spans over a decade at Ghent University. Current roles include co-supervising major research projects including ArisToCAT (FWO), WiLMa (BOF), and DUAL-T (MSCA). Research focuses on the impact of translation technology across multiple domains: Machine translation integration in literary translation workflows Gender-inclusive translation strategies using adaptive technology Cognitive aspects of post-editing through eye-tracking and keystroke logging L2 writing processes enhanced by machine translation ( WiLMa project ) Bias detection in neural machine translation outputs Recent publication trends reveal a strategic shift toward gender-inclusive language applications (2022-2025), with 40% of recent work addressing gender bias in machine translation. Literary translation technology remains a consistent thread since 2016, now intersecting with ethical AI development concerns. Methodologically, Daems combines advanced process-tracing techniques with corpus linguistics approaches. Awarded the CIUTI PhD Award in 2017, Daems has also demonstrated significant editorial leadership: Guest Editor for Informatics Special Issue "Advances in Computer-Aided Translation Technology" (2019) Guest Editor for Journal of European Periodical Studies Special Issue "Digital Approaches Towards Serial Publications" (2019) Co-editor of New Empirical Perspectives on Translation and Interpreting (Routledge, 2020) Guest Editor for Filter Special Issue on literary translation technology (2021) Teaching responsibilities encompass Machine Translation & Post-Editing, Terminology and Translation Technology, and Empirical Translation Studies across multiple graduate programs. Daems actively supervises bachelor's and master's theses in human-computer interaction within translation studies while serving as external examiner for doctoral candidates.

Anton Bolfingمشاهده پروفایل

مدرس

• Accessibility
• Digital Inclusion
• Cognitive Psychology
• +۳ مورد دیگر

Anton Bolfing serves as a Lecturer at the Department of Health Sciences and Technology, ETH Zurich, and leads the Accessible Learning Materials unit since 2021. His academic foundation spans psychology, neurophysiology, and philosophy, with specialized expertise in cognitive and perceptual psychology. He completed his studies at the University of Zurich, focusing on general psychology, perceptual psychology, cognitive psychology, and visual cognition. Dr. Bolfing's research integrates cognitive psychology with digital accessibility , with key focuses including: Framework Development : Creating the A11y Big Five for efficient accessibility communication Educational Technology : Designing accessible digital learning tools for people with disabilities Cognitive Accessibility : Applying visual cognition principles to reduce cognitive load for users with learning disabilities Institutional Strategy : Advancing systemic adoption of accessibility standards in higher and vocational education Analysis of his recent publications (2022-2025) reveals a strategic shift toward implementing accessibility in vocational training and higher education systems. His work consistently bridges theoretical frameworks like the A11y Big Five with practical tools such as the Content Accessibility Checker, with growing emphasis on solutions for cognitive disabilities and multilingual accessibility contexts. As Head of Accessible Learning Materials at ETH, Dr. Bolfing directs institutional strategy for accessible educational resources. He co-founded the Swiss Accessibility Study series and maintains active collaborations with FHNW and international conferences like ICCHP, translating research into national accessibility standards and tool development.

BORA BAYRAMمشاهده پروفایل

دانشیار

• Turkish Education
• Mother Tongue Education
• Teaching Turkish to Foreigners
• +۵ مورد دیگر

Assoc. Prof. Bora Bayram is an academic at Alanya Alaaddin Keykubat University's Faculty of Education, Department of Turkish Language Education. He holds a PhD in Turkish Education from Atatürk University (2015) and has extensive teaching experience at Bayburt University and other institutions since 2016. His research focuses on Turkish language pedagogy, multicultural education, and teacher training methods. Education: PhD (Turkish Education – Atatürk University, 2015) M.A. (Turkish Folklore – Atatürk University, 2011) Bachelor’s (Turkish Language Teaching – Atatürk University, 2004). Research interests include Turkish language education strategies, multicultural teaching approaches, and curriculum development. He has authored over 30 peer-reviewed articles in journals like Kastamonu Education Journal and Journal of Mother Tongue Education , focusing on teaching methodologies, textbook analysis, and educational values. Recent publications analyze narrative skills in Turkish textbooks, online Turkish language learning challenges, and educational values in children's literature. He has served as editor for secondary school Turkish textbooks and actively participates in curriculum development workshops organized by Turkey’s Ministry of National Education. Leadership roles include Deputy Head of Department at Alanya Alaaddin Keykubat University (2023) and membership in international symposium organizing committees. His work emphasizes bridging theoretical pedagogy with practical classroom applications in Turkish language education.

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Eugénio Ribeiro is an Assistant Professor in the Department of Information Science and Technology (ISTA) at ISCTE – University Institute of Lisbon and a researcher at INESC-ID Lisbon. He holds a PhD, Master’s, and Bachelor’s in Informatics and Computer Engineering from Instituto Superior Técnico, University of Lisbon, completed in 2023, 2012, and 2010, respectively, with his PhD awarded with distinction and honors. PhD in Computer and Informatics Engineering, University of Lisbon - Higher Technical Institute, 2023 Master's degree in Computer and Informatics Engineering, University of Lisbon - Higher Technical Institute, 2012 Bachelor's degree in Computer and Informatics Engineering, University of Lisbon - Higher Technical Institute, 2010 His research focuses on Artificial Intelligence and Machine Learning, with a strong emphasis on Natural Language Processing. Key areas include dialog act recognition, semantic frame induction, text readability, and automated essay scoring, often using deep learning and transformer-based models. His work bridges theoretical advances with practical applications in language technologies. The analysis of his recent publications reveals a sustained focus on NLP tasks in Portuguese and multilingual contexts, particularly leveraging deep learning for dialog understanding, semantic analysis, and educational applications. His work frequently involves character-level modeling, community detection in semantic networks, and ISO-standardized dialog annotation. He has received scientific recognition, including: PROPOR 2024: Best Article Eugénio Ribeiro actively mentors students and contributes to the academic community through organizing scientific events, reviewing for journals and conferences, and participating in knowledge transfer projects. His research is supported by his dual affiliation with ISCTE and INESC-ID, where he collaborates on AI and language technology initiatives. He is involved in research labs and teams such as L2F/INESC-ID, a leading group in language and speech technologies in Portugal, contributing to projects like iRead4Skills, which focuses on language proficiency and readability assessment for Portuguese.