جست‌وجوی استاد و پژوهشگر

• Football Training
• Balance Performance
• Youth Sports
• +۳ مورد دیگر

Kristaps Slaidiņš serves as a Lecturer in the Department of Sport Games and Acting Scientific Assistant at Riga Stradins University, focusing on sports science research for youth athletic development. His institutional affiliation shows consistent engagement with Latvian sports education frameworks through collaborations with entities like the Latvian Olympic Committee. His research profile centers on Football Training biomechanics, Balance Performance metrics, and Youth Sports psychology. Key investigations include position-specific physical demands in adolescent footballers, dynamic/static balance assessment methodologies, and motivational factors influencing training compliance among children in grades 5-9. Supplementary work extends to Swimming pedagogy for school-aged children. Publication trends (2019-2025) reveal progressive specialization in football performance analytics, evolving from foundational swimming education materials to sophisticated biomechanical studies on explosive strength and technique classification. Recent work demonstrates methodological rigor in measuring lower limb power output and balance characteristics across playing positions, with strong emphasis on practical applications for youth coaching. No scientific awards or grant funding acknowledgments appear in the source documentation. Research activities indicate active conference participation through oral presentations at international venues (2023-2025), though specific student mentorship or laboratory affiliations remain undocumented in available materials.

• Machine Learning
• Natural Language Processing
• Cybersecurity
• +۵ مورد دیگر

Cécile Paris is a researcher at CSIRO , focusing on interdisciplinary applications at the intersection of Artificial Intelligence , Cybersecurity , and Human-AI Collaboration . Her work spans domains such as biomedical informatics, social media analysis, and robotics. Research Interests: Developing collaborative frameworks for human-AI teams Explainable AI in cybersecurity Trust modeling in social networks Fake news detection via temporal and graph-based networks Image captioning with multimodal learning Stance classification across domains Article Trends: Recent publications emphasize adaptive alert prioritization (2025), systematic reviews on cybersecurity challenges (2024), and foundational work in NLP for epidemic intelligence (2018-2020). Key methodologies include graph neural networks, transformer models, and adversarial training.

• Artificial Intelligence and Data Science
• Data Management & Mining
• Decision Making & Optimization
• +۵ مورد دیگر

Wei GAO is an Associate Professor of Computer Science at Singapore Management University's School of Computing and Information Systems (SCIS), where he serves as full-time faculty. His research focuses on artificial intelligence applications in social computing, misinformation analysis, and natural language processing. Professor GAO leads research on large language models, rumor detection, and social media analytics through computational approaches. Research Focus Professor GAO's expertise spans several interconnected domains: AI & Data Science : Developing advanced machine learning models for complex data analysis Social Media Analytics : Studying misinformation propagation and user behavior patterns Natural Language Processing : Creating novel methods for text understanding and generation Computational Social Science : Quantifying psychological and social phenomena through AI Publication Trends Recent works demonstrate strong emphasis on enhancing large language models for: misinformation detection (rumor verification, fake news debunking), social computing (stance classification, moral reasoning), and efficient AI (model compression, transfer learning). Multimodal approaches and explainable AI frameworks appear consistently across publications. Academic Activities Professor GAO supervises PhD students including LAI Yibin, with mentorship focus on NLP and social computing research. He teaches courses on Natural Language Communication and contributes to SMU's research initiatives in digital transformation and AI safety.

Devin Hussongمشاهده پروفایل

استادیار

• Clinical Psychology
• Humor in Psychotherapy
• Personality Assessment
• +۵ مورد دیگر

Devin Hussong, Psy.D., is an Assistant Professor of Psychology at Chestnut Hill College, affiliated with the Doctor of Psychology Program in Clinical Psychology. He teaches core courses in psychometric theory, psychological assessment, practicum training, and doctoral dissertation mentoring within the Department of Psychology in the College of Arts and Sciences. B.A., Moravian College M.S., Chestnut Hill College Psy.D., Chestnut Hill College Dr. Hussong's research centers on the role of humor in psychotherapy, personality assessment and conceptualization, media ecology, and the psychology of religion. His work adopts a constructivist framework, emphasizing the human elements in therapy and questioning rigid diagnostic models. He explores how humor fosters connection, understanding, and emotional healing in therapeutic settings. His publications and presentations reflect a consistent focus on therapist-client dynamics, non-medical models of emotional healing, and the integration of personal and philosophical perspectives into clinical practice. Themes across his recent work include the therapeutic alliance, authenticity in therapy, and alternatives to traditional psychiatric diagnosis. Dr. Hussong is a member of the American Psychological Association and the Pennsylvania Psychological Association. He provides clinical services through a group practice, offering assessment and psychotherapy to adolescents and adults. He mentors doctoral students in their dissertation research and has presented nationally on topics including MMPI-2 interpretation, ethical countertransference, and constructivist therapy principles. His workshops often involve collaboration with established figures in the field, such as Jay Efran, Ph.D., and Scott Levson, Psy.D. Dr. Hussong has delivered presentations at institutions including Togus Veterans Hospital and international conferences like the Biennial International Meaning Conference, demonstrating active engagement in professional development and knowledge dissemination.

Svenja Taubnerمشاهده پروفایل

استاد

• Mentalization
• Conduct Disorders
• Personality Disorders
• +۵ مورد دیگر

Prof. Svenja Taubner serves as Director of the Institute for Psychosocial Prevention and Research Group Leader for Competence Development of Healthcare Professionals at Heidelberg University Hospital. She holds a W3-Professorship in Psychosocial Prevention. Her career includes roles at Alpen-Adria-University Klagenfurt, University Kassel, and Berlin's International Psychoanalytic University. She specializes in mentalization-based therapies, personality disorders, and competency development for healthcare professionals. Education highlights include a PhD (Dr. phil.) and training as an analytical psychotherapist certified by the German Psychoanalytic Society. Her work focuses on improving therapeutic competencies through structured feedback and deliberate practice models like the DYNAMIC curriculum. She leads studies on MBT-CD for conduct disorders, trauma-focused therapies, and epistemic trust constructs. Key initiatives include the Lighthouse Parenting Programme-Online, OSTE assessment tools for psychotherapy trainees, and validation of mentalization measurement instruments. She collaborates on S3 guidelines for borderline personality disorder and has pioneered pediatric skills labs for communication with psychosocially burdened families. Her research bridges clinical practice with theoretical advancements in attachment theory, epistemic trust frameworks, and transdiagnostic mechanisms. She actively contributes to training programs for psychotherapists and has developed innovative screening instruments like the PFAM-Screen for pediatric practices.

Anna Kolliakouمشاهده پروفایل

پژوهشگر ارشد

• Mental Health
• Social Media Analysis
• Electronic Health Records
• +۳ مورد دیگر

Anna Kolliakou is a Research Fellow at King’s College London’s Institute of Psychiatry, Psychology & Neuroscience (IoPPN), where she has been affiliated since 1999. She holds the role of Clinical Informatics Interface and Network Lead, managing collaborations for the CRIS team and broader informatics initiatives. Her research integrates mental health, social media analysis, and natural language processing (NLP), with a focus on improving clinical data extraction and understanding of psychosis outcomes. Her PhD explored cannabis use in first-episode psychosis, and she contributed to the EU-funded PHEME project, validating NLP methods for mental healthcare applications. Education: BA (Hons) Psychology (University of Essex), MSc in Clinical and Public Health Aspects of Addiction (King’s College London), PhD in Psychosis Studies (King’s College London). Research interests span electronic health records, data linkage, and interdisciplinary art-science collaborations, including the Arts in Mind Festival. She leads CRIS-NLP initiatives and has pioneered work on social media analysis for public health insights. Her recent studies include investigating catatonia associations, cardiometabolic risks post-psychosis, and childhood adversity impacts on mental health outcomes.

• Natural Language Processing
• Temporal Information Extraction
• Misinformation Detection
• +۲ مورد دیگر

Leon Derczynski is a researcher at the IT University of Copenhagen with a focus on Natural Language Processing and computational linguistics. His work spans multiple NLP subfields including temporal information extraction , misinformation detection , and social media analysis . He has contributed to the development of NLP resources for Danish and Nordic languages, and created frameworks like garak for model security probing. Research interests include: Temporal relation classification and time expression modeling Social media analysis and misinformation detection Model efficiency and resource-aware NLP Scandinavian language processing Ethical considerations in NLP Publications highlight trends in transformer architecture optimization , set-to-sequence modeling , and abusive language detection . His work frequently appears in top venues like Transactions of the Association for Computational Linguistics , EMNLP , and COLING . Key collaborations include work with Kalina Bontcheva on rumor evaluation, Manuel R. Ciosici on efficient NLP methods, and Erick Galinkin on model security. He has also contributed to datasets like the Danish Gigaword Corpus and evaluation frameworks like Risk Cards for model deployment assessment.

Mounika Marreddyمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Machine Learning
• Human-AI Alignment
• +۵ مورد دیگر

Mounika Marreddy is a Postdoctoral Researcher at Goethe-Universität Frankfurt am Main, focusing on advancing Natural Language Processing (NLP) through interdisciplinary research that bridges machine learning, cognitive science, and multilingual language modeling. Her work explores the alignment between human and AI annotations, brain activity prediction using language models, and addressing challenges in low-resource languages like Telugu. Research Focus : Human-AI annotator alignment across NLP tasks (e.g., sentiment analysis, stance detection) Task effects on concept representation in neural models Development of Telugu-specific NLP datasets and pretrained models (ELMo-Te, BERT-Te) Neuroimaging studies linking syntactic processing to brain activity Publications : Her research has been published in top-tier venues such as the European Conference on Information Retrieval (ECIR), ACL Findings, IEEE ICASSP, and ACM Transactions, with recent work on the USDC dataset for dogmatism analysis and robustness in transformer models. She actively collaborates with researchers like Alexander Mehler and Manish Gupta.

Markus Eggمشاهده پروفایل

استاد

• Linguistics
• Register Analysis
• Metaphor Studies
• +۵ مورد دیگر

Markus Egg is a Professor at the Department of English and American Studies , Humboldt University of Berlin. He is a principal investigator in the Collaborative Research Center 1412 (CRC 1412) focused on "Register: Language Users’ Knowledge of Situational-Functional Variation". His work bridges theoretical linguistics with computational approaches, particularly in metaphor annotation, register analysis, and discourse structure. He has organized international workshops such as MeStaR (Metaphors and Stance Markers in Register Variation). Current affiliation: Humboldt University of Berlin Key projects: CRC 1412, GeRMaN (German Register Marking by Non-Literal Expressions), MeStaR workshop Research Focus: His research examines how metaphors and metonymies function as markers of register variation across different contexts, including social media (e.g., LGBTQ+ slang on Twitter), religious language, and computational linguistics. He integrates methodologies from corpus linguistics, cognitive science, and natural language processing to model register knowledge. Teaching: Regularly teaches courses on linguistics, computational semantics, and machine learning applications in language research. In 2023, he conducted a webinar on "Register marking by metaphor and metonymy" at Nakhchivan State University. Collaborations: Collaborates with institutions like Charles University (Prague), Ruhr-Universität Bochum, and Università della Calabria. Frequent collaborator: Valia Kordoni (metaphor corpus development).

Pascal Boyeldieuمشاهده پروفایل

استاد پژوهشی

• African linguistics
• Central African languages
• Ubangi languages
• +۹ مورد دیگر

Pascal Boyeldieu is a senior Africanist linguist and Research Director at the French National Centre for Scientific Research (CNRS), affiliated to the joint research unit UMR 8135 “Language, Languages and Cultures of Africa” (CNRS–INALCO–EPHE). He heads the thematic strand Genesis of Languages and has been conducting extensive fieldwork in Central Africa since 1971. Educational background: 1969 – Licence in German, Paris IV-Sorbonne 1970 – Licence in Linguistics, Paris V 1971 – Maîtrise in Linguistics, Paris V 1978 – Doctorat de 3 e cycle in African Linguistics, Paris III 1993 – Doctorat d’État in African Linguistics, Paris III 1995 – Qualified for university professorships (section 7) His research focuses on the linguistic description and historical comparison of Central African languages, especially Yulu , Dadjo , Sinyar , and the Sara-Bongo-Baguirmian (SBB) group. Key topics include tonology, morphosyntax, logophoric pronouns, adjectival qualification, discourse hierarchy and the expression of emotions . He leads the CNRS program Highlighting and Indenting: Morphological Marking of Discursive Hierarchy and co-directs the interdisciplinary project Typology of the Expression of Emotions . Boyeldieu is also Director of the “Africa and Language” collection at Peeters Publishers (Louvain-Paris) and has served as expert for international projects such as EUROCORES/EuroBABEL (ESF) and the Swiss National Science Foundation. Scientific production spans monographs, edited volumes and numerous peer-reviewed articles, with consistent emphasis on Central African languages, historical linguistics and discourse phenomena.

• Sociolinguistics
• English as a lingua franca
• Language policy
• +۷ مورد دیگر

Janus Mortensen is a Professor of Multilingualism and Language Policy at the Centre for Internationalisation and Parallel Language Use (CIP), University of Copenhagen. His research focuses on English as a lingua franca, language policy in transient social configurations, sociolinguistic change, and digital humanities. He leads major projects including the Carlsberg Foundation-funded AI-UNI project exploring generative AI's impact on academic literacy, and the ENIDA project analyzing English's sociolinguistic role in Denmark. University of Copenhagen (2015-present) Roskilde University (2013-2015) CARDIFF UNIVERSITY (visiting scholar) His work examines language ideologies, linguistic history of universities, and written communication. He has published extensively on topics like epistemic stance marking, language practices in international universities, and language policy implementation. Mortensen has received grants from the Carlsberg Foundation, VELUX FONDEN, and Independent Research Fund Denmark. AI-UNI Project (2024-2028): DKK 9,889,244 Fighting Food Waste Project (2022-2025): DKK 4,954,415 ENIDA Project (2021-2025): DKK 6,175,076