جستجوی استاد راهنمای دانشگاهی

Adarsh Pyarelalمشاهده پروفایل

استادیار

• Artificial social intelligence
• Automated causal model assembly
• Machine learning
• +۳ مورد دیگر

Adarsh Pyarelal is an Assistant Professor at the School of Information , University of Arizona. His research focuses on socially-aware AI teammates, automated assembly of causal models from text/software, and probabilistic modeling of human coordination. He holds a Ph.D. and has contributed to projects like MultiCAT and Eidos/INDRA/Delphi frameworks. His work spans multimodal dialogue systems, variable extraction from scientific literature, and applications in particle physics collaborations. Notable contributions include the Future Circular Collider feasibility studies and vector quantization techniques in reinforcement learning. Despite numerous grant proposal rejections (noted in his Shadow CV), his research emphasizes resilience in academic pursuits. Current focus areas include AI team coordination and improving model interpretability through causal frameworks. He does not currently accept new PhD students. Technical interests include cross-platform GUI libraries (wxWidgets), MacPorts Python management, and reproducible research workflows using Pandoc/Zotero.

Thomas Holdenمشاهده پروفایل

استاد

• History of Philosophy
• Metaphysics
• Philosophy of Science
• +۲ مورد دیگر

Thomas Holden is a Professor in the Department of Philosophy at the University of California, Santa Barbara. His research focuses on the history of seventeenth- and eighteenth-century philosophy, particularly in metaphysics, philosophy of science, philosophy of religion, and the empiricist tradition. Education: Ph.D., University of North Carolina at Chapel Hill Holden specializes in early modern philosophy with emphasis on metaphysical themes such as materialism, necessity, and causation. His work critically examines philosophical discourse around religion, language, and scientific paradigms in Enlightenment thinkers including Hume, Hobbes, and Berkeley. Recent publications concentrate on modal metaphysics, religious language, and historical materialism. His scholarship demonstrates consistent engagement with conceptual problems in causation and necessity across Hume's probability theories, Hobbes' theological concepts, and Berkeley's epistemology. He has authored several books analyzing the metaphysical frameworks of early modern philosophers and their approaches to theological and scientific questions.

Themos Stafylakisمشاهده پروفایل

دانشیار

• Speaker Recognition
• Audiovisual Speech Recognition
• Machine Learning
• +۳ مورد دیگر

Themos Stafylakis is an Associate Professor at the Department of Informatics of Athens University of Economics and Business (AUEB), a role he assumed in 2023. He also serves as the head of the Machine Learning and Voice Biometrics departments at Omilia (Cyprus and Greece) since 2018. Additionally, he collaborates as a researcher at the Archimedes unit of the "Athena" Research Center. His academic journey includes a PhD in voice applications from the School of Electrical and Computer Engineering of NTUA (2011), a master's from Imperial College London (2005), and a bachelor's from NTUA (2004). Professional experience includes postdoctoral research at ÉTS University of Montreal (2011-2013) and CRIM research center (2011-2016), followed by work at the University of Nottingham on audiovisual speech recognition under a Marie Sklodowska-Curie fellowship (2016-2018). His research focuses on speaker recognition, audiovisual speech processing, and machine learning applications. Key contributions include advancements in speaker verification, diarization, and self-supervised learning techniques. He has contributed to datasets like KAN-AV and participated in challenges such as NIST-SRE and ASVspoof. Educations: Bachelor's: School of Electrical and Computer Engineering, NTUA (2004) Master's: Imperial College London (2005) PhD: NTUA (2011) His research interests span speaker recognition, audiovisual speech analysis, and machine learning innovations. Notable achievements include developing robust speaker verification systems and contributing to spoofing detection methodologies. He has received a Marie Sklodowska-Curie Individual Fellowship (2016-2018). His work bridges academia and industry, with applications in biometric systems, conversational AI, and multimodal data analysis. Collaborations include institutions like CRIM, ÉTS, and the Athena Research Center.

• Data Protection Law
• General Data Protection Regulation (GDPR)
• Artificial Intelligence Regulation
• +۴ مورد دیگر

Maciej Otmianowski is a researcher at the Vrije Universiteit Brussel (VUB) , affiliated with the Faculty of Law and Criminology and active in data protection, AI regulation, and EU policy frameworks. PhD Candidate: Law, Science, Technology & Society Key Collaborations: d.pia.lab, Data Protection Law Scholars Network Research Foci: GDPR, AI Act, stakeholder dialogues, risk-based compliance Research Themes include: Data protection governance under EU law AI risk assessment methodologies Participatory frameworks for digital regulation Software tools for privacy compliance Stakeholder value mapping in policy design Interdisciplinary legal-technical approaches Recent Publications highlight: AI Act high-risk classification mechanisms RedIntoGreen software for data governance Stakeholder engagement in EU policy DPIA templates for GDPR compliance Risk analysis case studies Interdisciplinary regulatory proposals

Volha Petukhovaمشاهده پروفایل

پژوهشگر

• Computational Semantics
• Dialogue Theory
• Computational Pragmatics
• +۳ مورد دیگر

Volha Petukhova is a Researcher at Saarland University, specializing in computational semantics, dialogue theory, and cognitive modeling. She contributes to ISO standards for semantic annotation frameworks (ISO 24617-2 and -5). Her work focuses on dialogue acts, multimodal communication, and argumentation systems. She has led projects like DialogBank and participated in initiatives such as METALOGUE and DBOX. She teaches courses including Multimodal Dialogue Systems and Computational Pragmatics. Her research interests include dialogue management, belief-intention representation, and context-based reasoning. She has published extensively on topics like metacognitive event classification, argument quality assessment, and negotiation strategies. Her recent projects involve personalized health intervention messages and customer-oriented dialogue analysis. She has advised numerous students on topics like negotiation outcome prediction, argument generation, and multimodal depression detection. She collaborates on creating annotated dialogue corpora, such as the DBOX and Metalogue Debate Trainee Corpus. Her work bridges theoretical dialogue semantics with practical applications in healthcare and education.

• Computational Linguistics
• Human-Computer Interaction
• Natural Language Processing
• +۵ مورد دیگر

Alexandra Christina is affiliated with the Department of German Language and Literature at the National and Kapodistrian University of Athens. Her work bridges computational linguistics, human-computer interaction (HCI), and political/journalistic text analysis. She specializes in natural language processing (NLP), sentiment analysis, terminology management, and multilingual applications. Her research focuses on extracting implicit information from spoken and written texts, with applications in medical chatbots, aircraft maintenance communication, and political discourse analysis. Notable projects include the 'Athena' medical chatbot, Gricean maxim modeling in NLP, and HCI design for international conferences. Key Areas: Generative AI, ethical AI frameworks, cross-lingual dialogue systems, and cognitive bias analysis in ancient/modern texts. Publications: Over 100 peer-reviewed articles since 2007, including works on terminology databases, HCI conference proceedings, and sentiment analysis platforms. Her recent work emphasizes socially responsible AI, integrating NLP with ethical guidelines, and leveraging crowd-sourced data for unspoken sentiment detection. She collaborates on multilingual terminology projects like TERMONLINE and CNCTST database initiatives.

Souvick Ghoshمشاهده پروفایل

استادیار

• Conversational Search Systems
• Database and Other Retrieval Systems
• Human Information Behavior
• +۱۰ مورد دیگر

Souvick Ghosh is a Tenure-Track Assistant Professor at the School of Information, San Jose State University. His research focuses on conversational search systems, human-computer interaction, and information retrieval, integrating machine learning and natural language processing to enhance interactive information-seeking environments. Ph.D. : Communication, Information, and Media Studies, Rutgers University (2020) M.S. : Computer Science and Engineering, Jadavpur University (2016) B.S. : Computer Science and Engineering, Jadavpur University (2011) His research interests include conversational search systems, database and retrieval systems, human information behavior, human-computer interaction, information retrieval theory and practice, information systems and technologies, information visualization, and research methods. He applies machine learning, natural language processing, and deep neural networks to develop intelligent functionalities in voice-based and interactive environments. His recent publications span topics such as conversational agents, question quality in social Q&A, citation sentiment, and learning-oriented search. These works appear in top venues like HICSS, ASIS&T, SIGIR, and CHIIR, reflecting a consistent focus on improving user-system dialogues, modeling search behavior, and designing human-centered conversational systems. Outstanding Graduating Student Award, Rutgers University (2020) Ghosh has taught graduate and undergraduate courses in data science, programming, and information technology at both SJSU and Rutgers. He leads the ICANN Lab, where he mentors students and conducts ongoing research in conversational AI and information systems. His work emphasizes technology for social good, with applications in education, accessibility, and equitable information access.

Sofia De La Fuente Garciaمشاهده پروفایل

پژوهشگر ارشد

• Speech technology for cognitive health monitoring
• Intangible cultural heritage and wellbeing
• AI and digital biomarkers
• +۴ مورد دیگر

Sofia De La Fuente Garcia is a Research Fellow at the University of Edinburgh's Usher Institute within the College of Medicine and Veterinary Medicine. She leads pilot studies and evaluation for the EU Horizon-funded INT-ACT project on intangible cultural heritage, wellbeing, and artificial intelligence. Her work bridges cognitive health assessment with cultural narratives through speech technology. Her educational background includes: PhD in Precision Medicine (AI and speech as a digital marker for cognitive health) MSc in Methodology for Behavioural and Health Sciences BSc (Hons) in Psychology Additional credentials include Fellowship of the Higher Education Academy, a Diploma on Systems and Family Therapy, and Gestalt Psychotherapy training. Her research integrates cognitive health monitoring with cultural heritage through: Development of speech collection methodologies based on Scottish folklore AI-driven analysis of speech as biomarkers for dementia Investigation of mindfulness and flow states in ancient crafts for mental wellbeing Personal narrative studies linking cultural heritage to emotional health Recent publications reveal strong emphasis on zero-shot learning for depression detection, interpretable speech foundation models, and cultural heritage interventions for older adults. Key scientific recognition: Fellow of the Higher Education Academy She currently holds a Horizon Europe Research Fellowship for INT-ACT (grant 101132719) and a Brain Health ARC 2025 Pump Priming Award. While not currently supervising PhD students, her Prevent-ED methodology has been implemented in the Centre for Dementia Prevention's cohort studies. Her work extends through collaborations with Karolinska Institutet, Universidad Autonoma de Madrid, and industry partner PST Inc. Active in the Edinburgh Centre for Medical Informatics, she contributes to the ADReSS Challenge series at Interspeech conferences and maintains laboratory partnerships focused on speech technology for neurodegenerative disease monitoring.

Michael Rushforthمشاهده پروفایل

استاد آموزشی

• Linguistics
• Language Teaching
• Computational Linguistics
• +۴ مورد دیگر

Michael Rushforth serves as Assistant Dean for Experiential Learning Initiatives and Professor of Instruction in the Department of Modern Languages and Literatures at the University of Texas at San Antonio's College of Liberal and Fine Arts, where he bridges academic leadership with innovative language education practices. His research spans computational linguistics, virtual reality applications in language pedagogy, dialogue systems for tactical questioning, and accessibility solutions for visually impaired learners. He integrates artificial intelligence with speech technologies to develop immersive language learning environments, with particular focus on Spanish fluency assessment and cross-cultural communication frameworks. His work addresses critical gaps in accessible linguistics education and equitable technology implementation. Recent publications reveal a trajectory from foundational dialogue system research toward AI-driven language assessment tools, demonstrating consistent innovation in merging theoretical linguistics with practical educational technology. His 2024 dataset for Spanish fluency prediction exemplifies this evolution, building upon earlier work in virtual human interactions and tactical questioning systems developed since 2001. Rushforth secured a $74,750 grant for an Intelligent Virtual Reality System for Language Learning (2020-2022) and maintains active conference engagement, presenting at Linguistics Society of America meetings on accessibility, pandemic-era online teaching adaptations, and virtual reality applications across national and international venues including Washington DC, San Francisco, and Salt Lake City.

Sarah Rachutمشاهده پروفایل

پژوهشگر

• Digital Law
• E-Government
• Data Protection
• +۷ مورد دیگر

Dr. Sarah Rachut is a Scientific Associate at the Technical University of Munich (TUM), working at the Chair of Digital Law and Security under Prof. Dr. Dirk Heckmann. She serves as Managing Director of the TUM Center for Digital Public Services research institute and is affiliated with the TUM School of Social Sciences and Technology in the Department of Governance. Her work bridges legal scholarship with practical digital governance solutions, focusing on fundamental constitutional issues in digital contexts. Dr. Rachut studied law with a European and international focus at the University of Passau and completed her legal traineeship at the Higher Regional Court of Munich. She earned her doctorate with a dissertation titled "Realization of Fundamental Rights in Digital Contexts," which received the Science Prize of the Society for Data Protection and Data Security in November 2024. She is also a member of the German Society for Law and Informatics (DGRI) and an associate member of the eSports Law Research Center at the University of Augsburg. Her research centers on e-government, e-health, and e-education law, with particular emphasis on how constitutional rights can be realized in digital environments. Dr. Rachut challenges the misconception that law hinders digitalization, arguing instead that legal frameworks enable balanced technological advancement that respects fundamental rights. She advocates for moving from application-based administration toward proactive government services that automatically recognize citizens' legitimate claims without requiring burdensome documentation. Dr. Rachut's extensive publication record demonstrates deep expertise in AI regulation, digital administrative procedures, and electronic examination systems. Her work uniquely combines theoretical legal scholarship with practical implementation experience, as evidenced by her pivotal role in developing Bavaria's Fernprüfungserprobungsverordnung (BayFEV) during the pandemic, which became a national model for legally secure remote examinations. Young Leader in Gov Tech Award by Handelsblatt and Possible (2024) Science Prize of the Society for Data Protection and Data Security (2024) Second place in Young Scientist of the Year award (2025) Talent in BayFiD program (Bavaria's Women in Digital Professions) (2020) Scholarship holder at Graduate School of Bavarian Research Institute for Digital Transformation (2022) As Managing Director of the TUM Center for Digital Public Services, Dr. Rachut mentors students and leads research initiatives focused on digital transformation in government. She has successfully guided student teams to multiple awards in the "Digital Future Challenge" competition. Her leadership extends to shaping policy through expert opinions for legislative bodies including the German Bundestag and various state parliaments, where she has advised on the Bavarian Digital Law and other key digital governance frameworks. Dr. Rachut plays a key role in the TUM Center for Digital Public Services, which serves as an interdisciplinary hub for digital government research. She also serves as spokesperson for the "E-Government Law" working group of the National E-Government Competence Center (NEGZ) and co-edits the journal "Ordnung der Wissenschaft" since October 2024.

Richard Scherlمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Automated Reasoning
• +۸ مورد دیگر

Richard Scherl is an Associate Professor in the Department of Computer Science and Software Engineering at Monmouth University, where he has been teaching since 2002. His office is located in James and Marlene Howard Hall 222. Education: Ph.D. in Computer Science, University of Illinois M.A. & Ph.D. in Anthropology, University of Chicago Diploma in Tamil Research, Madurai University (India) Research Interests: Professor Scherl's primary research focuses on logic-based knowledge representation and automated reasoning using formal frameworks like situation calculus. His work bridges Artificial Intelligence with Natural Language Processing , Cognitive Science , and Computational Social Sciences to model common sense knowledge, linguistic context, conversational actions, and socio-cultural phenomena. He investigates how reasoning systems integrate database structures with natural language semantics while addressing philosophical and anthropological dimensions of knowledge construction. Publications: His scholarly output demonstrates a consistent trajectory in formalizing context-aware reasoning systems. Recent works (2022) develop situation calculus models for knowledge, belief, and conversation, while earlier research (2015-2010) explores socio-cultural inference from text, semantic classifiers for big data, and epistemic planning. The publications reveal an interdisciplinary methodology connecting AI with linguistics and social sciences, yielding applications in homeland security, social computing, and narrative analysis. Awards: No scientific awards were mentioned in the provided information. Advising and Grants: The available documentation does not specify details regarding student advising or research grant funding. Labs and Teams: No information about dedicated research laboratories or collaborative teams was provided in the source materials.

Jan Gorischمشاهده پروفایل

پژوهشگر

• Oral Corpora
• Interactional Phonetics
• Conversation Analysis
• +۳ مورد دیگر

Jan Gorisch is a Researcher in the 'Oral Corpora' program area of the Pragmatics Department at the Leibniz Institute for the German Language (IDS Mannheim). He holds a PhD from the University of Sheffield (2012) and has conducted postdoctoral research at Aix-Marseille Université and Nanyang Technological University. His research focuses on oral corpora, interactional phonetics, conversation analysis, and automatic speech recognition. He collaborates on projects like the SegCor ANR-DFG initiative and contributes to the development of the 'German Today' corpus. Key contributions include advancing corpus segmentation techniques, analyzing turn-taking dynamics in multi-party interactions, and developing frameworks for multimodal dialogue analysis. His work bridges computational methods with empirical linguistic research, emphasizing practical applications in corpus curation and speech technology.

• Deep Learning
• Speech Enhancement
• Extended Reality (XR)
• +۳ مورد دیگر

Prof Mansour Moniri is a Professor at the University of East London , affiliated with the School of Architecture, Computing & Engineering . His research spans deepfake detection, speech enhancement, extended reality, and conversational analysis, with over 8,500 views on his publications. Primary Research Areas: Deepfake speech recognition and mitigation Extended Reality (XR) applications for remote collaboration Speech enhancement algorithms for hearing aids and ASR systems Conversational fraud detection using linguistic markers Adaptive compressive sensing in wireless sensor networks Publication Trends: Recent works focus on hybrid deep learning architectures for audio analysis (2023-2025), with earlier contributions in immersive technologies (2019-2022) and sensor network optimization (2014-2017). His research consistently combines computational methods with real-world applications in security, healthcare, and communication technologies. Contact: Email: mansour@uel.ac.uk

Jillian Aurisanoمشاهده پروفایل

استادیار

• Data Visualization
• Visual Analytics
• Human-Computer Interaction
• +۵ مورد دیگر

Jillian Aurisano, PhD, is an Assistant Professor in the Department of Computer Science at the University of Cincinnati's College of Engineering and Applied Science. Her research focuses on data visualization, human-computer interaction, and collaborative technologies, with a particular emphasis on large display environments and immersive analytics. She leads projects involving multi-modal interaction design, virtual reality, and conversational interfaces for data exploration. Key research interests include: Large-scale visualization systems (e.g., SAGE2 platform) Design of intuitive interaction techniques for big displays Integration of speech/gesture with visual analytics Collaborative work environments for data-driven tasks Her work has explored applications in biology (e.g., genome visualization, animal movement tracking) and ecological systems. Recent research trends emphasize improving user experiences through intelligent conversational assistants and addressing challenges in evaluating large-display systems. Notable projects include BactoGeNIE (comparative genome visualization) and ARTICULATE2 (conversational interface for data exploration). She collaborates with interdisciplinary teams across computer science, biology, and environmental science domains.

Carlos De Pablos-Ortegaمشاهده پروفایل

دانشیار

• Applied Linguistics
• Sociopragmatics
• Interlanguage Pragmatics
• +۱۲ مورد دیگر

Dr Carlos De Pablos-Ortega is an Associate Professor in Spanish and Applied Linguistics at the University of East Anglia, School of Media, Language and Communication Studies. He is a member of both Area Studies and Language and Communication Studies, and currently accepts PhD students. His academic journey began with a B.A. in English and Linguistics from the University Complutense, Madrid, followed by a Master’s, M.Phil., and Ph.D. in Applied Linguistics from Universidad Nebrija, Madrid. He has taught in Spain, the UK, the United States, and Australia, including a sabbatical at the University of Sydney. His research is centered on interlanguage and cross-cultural pragmatics, focusing on politeness, speech acts, and sociopragmatic variation in Spanish and English. A key area of interest is intercultural communication through audiovisual translation, particularly subtitling for the Deaf and Hard of Hearing. He leads the Support for Access to Audiovisual Media (SAAM) project, which provides students with practical experience in media accessibility. The recent publications of Dr De Pablos-Ortega reflect a strong trajectory in pragmatics, sociolinguistics, and audiovisual translation, with emphasis on contrastive analysis of speech acts in film, cultural representation in subtitling, and the pedagogical use of media. His work bridges theoretical linguistics with real-world applications in education and accessibility. Scientific Awards and Recognitions: AURORA Diversity and Equality Award (2019) UEA Award for Excellence in Teaching (2011) Commendation for Excellence in Teaching, University of Sydney (2015, 2016) Group Project Award (TACIT) Senior Fellow of the Higher Education Academy (SFHEA, 2019) Dr De Pablos-Ortega has supervised MA dissertations in pragmatics, sociolinguistics, and audiovisual translation. He has been actively involved in research projects such as the European Commission-funded Digital Accessibility for You (DA4You) and has contributed to numerous conference presentations and invited talks across Europe and beyond. He has held leadership roles including Head of Language and Communication Studies (2016–2018) and Head of Spanish (2007–2014). He is also a member of the Association for Contemporary Iberian Studies and has organized academic events on media accessibility and translation. He leads the SAAM project, which partners with charities to provide subtitling and translation services, offering students hands-on experience with professional tools. This initiative exemplifies his commitment to community engagement, service learning, and inclusive education.