جست‌وجوی استاد و پژوهشگر

Mariella Dimiccoliمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• Action Recognition
• +۷ مورد دیگر

Mariella Dimiccoli is a Científica Titular (equivalent to Professor) at the Institute for Robotics and Industrial Informatics (IRI), a joint research center of the Spanish National Research Council (CSIC) and Universitat Politècnica de Catalunya (UPC). She is actively involved in cutting-edge research in computer vision, robotics, and multimodal AI, with a focus on egocentric vision, action recognition, and temporal video understanding. Position: Científica Titular (Professor) Institution: IRI, UPC-CSIC Research Subline: Perception and Manipulation Email: mdimiccoli@iri.upc.edu Her research interests center on enabling machines to understand human actions and interactions through visual and auditory signals. She works extensively on unsupervised and weakly supervised learning methods for video analysis, particularly in untrimmed and egocentric videos. Her work integrates insights from robotics, machine learning, and cognitive science to build systems capable of perceiving and predicting human behavior in dynamic environments. The recent publications highlight a strong trend in temporal modeling of video data, multimodal fusion (especially audio-visual), and explainable AI. Her work spans from fundamental representation learning to applied robotics, with a consistent focus on grounding AI models in real-world sensor data and human behavior. She actively supervises graduate students and leads significant research projects such as AWESOME and SAFEDYP025, which aim to model temporal structures in videos and enable safe autonomous planning through episodic memory. These projects reflect her leadership in integrating prior knowledge into AI systems for long-term autonomy. PhD Student: Elena Belén Bueno Benito Master's Student: Xabier Blázquez González Her research is supported by national and European funding, including participation in the RAMON LLULL: AIRA Postdoctoral Programme and leadership in projects like AWESOME and GreenVAR. These grants underscore her role in advancing AI and robotics in Spain and Europe. Mariella Dimiccoli leads research within the Perception and Manipulation subline at IRI, contributing to the development of intelligent robotic systems that can perceive, interpret, and interact with humans and environments through multimodal sensing and learning.

Harry Scellsمشاهده پروفایل

استادیار

• Information Retrieval
• Retrieval Models
• Query Processing
• +۶ مورد دیگر

Harry Scells is an Assistant Professor at the University of Tübingen specializing in information retrieval. His research spans retrieval models, query processing, evaluation methodologies, and applications to health and medicine. Previously, he was an Alexander von Humboldt research fellow at Leipzig University and a postdoctoral research fellow at The University of Queensland where he completed his PhD. Dr. Scells holds a PhD from The University of Queensland (2021), a Bachelor of Information Technology (Hons) from Queensland University of Technology (2016), and a Bachelor of Information Technology from the same institution (2015). His research interests focus on advancing information retrieval systems with particular emphasis on retrieval models , query processing , evaluation methodologies , and applications to health and medicine . Dr. Scells has made significant contributions to the field of systematic review automation , large language models for information retrieval , and green information retrieval . His work bridges theoretical advancements with practical applications, particularly in medical and health-related domains where efficient and accurate information retrieval is critical. Analysis of his recent publications reveals a strong focus on improving retrieval effectiveness through innovative architectures (like Set-Encoder and Rank-DistiLLM), addressing evaluation challenges in modern retrieval systems, and developing practical tools for systematic review automation. His work increasingly explores the intersection of traditional information retrieval with large language models, examining both opportunities and limitations in this evolving space. Best Short Paper award at ECIR 2025 for 'Rank-DistiLLM' Best Paper Honorable Mention at ECIR 2025 for 'Set-Encoder' Best Paper Honourable Mention at SIGIR 2025 for 'The Viability of Crowdsourcing for RAG Evaluation' Dr. Scells is actively involved in the information retrieval community, serving as a program committee member for major conferences including SIGIR (2021-2024), ECIR (2022-2024), and CIKM (2020-2021). He has also been an invited reviewer for journals such as Transactions on Information Systems and Information Retrieval Journal. His leadership in the MANILA workshop series demonstrates his commitment to addressing information retrieval challenges related to climate change impacts. He maintains strong collaborative ties with the Webis research group and contributes to advancing information retrieval methodologies and tools across European institutions.

• Vehicular Edge Computing
• Internet of Things Security
• Wireless Networks
• +۶ مورد دیگر

Liang Zhao is a prominent professor at Shenyang Aerospace University's School of Computer Science, with extensive research contributions in vehicular edge computing, IoT security, and wireless communications. Previously earning a PhD from Napier University's School of Computing in 2011, Zhao has established himself as a leading researcher in mobile computing through numerous high-impact publications in IEEE journals and conferences. Dr. Zhao's research focuses on cutting-edge challenges in vehicular networks, UAV communications, and edge computing systems. His work bridges theoretical advances in deep reinforcement learning with practical applications in transportation and IoT systems, particularly addressing task offloading optimization, resource allocation, and security challenges in mobile environments. Recent projects explore innovative solutions for LEO satellite constellations, RIS-assisted communications, and federated learning applications across distributed systems. Analysis of Zhao's recent publication trends reveals a strong emphasis on practical implementations of AI techniques for mobile computing challenges, with significant contributions to vehicular edge computing frameworks, secure IoT protocols, and energy-efficient UAV communications. His research consistently addresses real-world constraints like network limitations, harsh environments, and heterogeneous system requirements. Dr. Zhao maintains an exceptionally productive research trajectory with 246 publications spanning from 2009 to 2025, demonstrating sustained contributions to the field. His collaborative network is extensive, with particularly strong partnerships with Ammar Hawbani (113 co-authored papers), Na Lin (41 papers), and Xingfu Wang (40 papers), suggesting well-established research groups and international collaborations. While specific grant information isn't detailed in the publication record, the scale and scope of Zhao's research output across multiple institutions suggest significant research funding support for projects in mobile computing, vehicular networks, and edge computing systems.

• Wound Care
• Venous Leg Ulcers
• Nursing Education
• +۴ مورد دیگر

Paul Bobbink is a Teaching Professor at the Haute école de santé - Genève , affiliated with the Department of Nursing within the School of Health Sciences . His work focuses on wound care, venous leg ulcers, and nursing education innovation. He leads research on patient self-management strategies, compression therapy, and digital learning tools in healthcare. Research Interests: Venous Leg Ulcer (VLU) pathophysiology and prevention Therapeutic patient education efficacy Blended learning modalities in nursing curricula Qualitative methodologies (Grounded Theory, Thematic Analysis) Healthcare workforce challenges and technological solutions Recent Work Trends: Recent articles emphasize the psychosocial impact of VLUs, evidence-based compression therapy, and leveraging digital tools for wound care education. His 2025 thematic analysis revealed pain's debilitating effects on daily life, while 2024 reviews highlight technological gaps in wound care amid nursing shortages. Teaching & Innovation: Developed hybrid learning programs for nursing students, including e-learning modules and hands-on workshops. Co-designed a Team-Based Learning scenario for research education, emphasizing active student participation. Labs/Teams: Leads the Wound Healing and Care Laboratory at HES-SO Geneva, which integrates clinical research with educational initiatives. Collaborates with interdisciplinary teams on EU-funded projects like ArODES .

• Gender Studies
• STEM Education
• Educational Psychology
• +۳ مورد دیگر

Prof. Dr. Malkoc Smirna is a Professor at the Styrian University of Education (PHST), affiliated with the Institute for Practical Teaching and Research. She holds a BSc, MSc, and professorial qualification. Her contact information includes the email smirna.malkoc@phst.at and phone number +43 (316) 8067-6510, with consultations by appointment. Her research focuses on gender disparities in STEM education, academic performance under stress, and the psychological dynamics of learning environments. She explores topics such as language gender bias, online flipped classrooms, and the impact of emotions on educational outcomes. Her work also addresses challenges faced by early-stage researchers in Austrian psychology. Prof. Smirna’s publications span 2020–2025, emphasizing methodological rigor and interdisciplinary approaches. Her articles highlight trends in gender studies, educational psychology, and crisis-driven learning dynamics. She contributes to improving educational practices through evidence-based strategies and supports equitable career pathways for underrepresented groups in academia. Her research integrates quantitative and qualitative methods, including pilot studies, statistical modeling, and peer-reviewed methodologies. She prioritizes topics such as self-efficacy in career choices, teacher motivation typologies, and pandemic-era academic resilience.

Brett Molesworthمشاهده پروفایل

استاد

• Human Factors
• Aviation Safety
• Cognitive Psychology
• +۴ مورد دیگر

Professor Brett Molesworth is a Professor of Human Factors and Aviation Safety at the School of Aviation, University of New South Wales . A qualified pilot with a Commercial Pilot Licence and advanced aerobatics rating, he focuses on aircrew and cabin crew behavior in normal and abnormal situations. His research develops tools to measure pilots' risk propensity, including an implicit association test for risky flying behavior, and applies techniques to enhance risk management skills. Key research areas include Aircraft noise effects on communication and cognitive performance Noise-cancelling headphone efficacy Cross-industry safety applications (road, medicine) Young driver speed management interventions Runway incursion prevention Pilot mental health during crises Recent publications span Drone Systems , Safety Science , and Transportation Research Part F , addressing topics like integrated airspace operations, noise-induced cognitive fatigue, and communication errors. His work has earned multiple Human Factors and Ergonomics Society awards and competitive ARC grants for driver safety and noise research. Scientific awards include Human Factors and Ergonomics Society Training Technical Group Best Student Paper Award (2018, 2015) Alan Welford Award for Best Journal Paper (2014) Grants funded projects on Young driver speed management (2022, 2018) Runway incursion prevention (2022) Aviation headset noise reduction (2018) Learned helplessness in noisy environments (2018)

Ann Copestakeمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Machine Translation
• +۳ مورد دیگر

Ann Copestake is a Professor of Computational Linguistics at the University of Cambridge's Department of Computer Science and Technology. She specializes in natural language processing, formal semantics, and grammar development, notably as the original developer of the LKB system. Her work spans applications in machine translation, AAC, and scientific text processing. She has held leadership roles, including Head of Department until September 2023, and contributes to initiatives like DELPH-IN and the Giving Voice to Digital Democracies project. Education: BA in Natural Sciences (Cambridge), PhD in Computer Science (University of Sussex). Research focuses on semantic representation (MRS/RMRS/DMRS) and lexical acquisition. Current projects include DELPH-IN consortium work and advisory roles in scientific discovery programs. Students: Advised PhD students including Huiyuan Xie, Paula Czarnowska, and Aurelie Herbelot, among others. Projects include semantic chunking, morphological competence in NLP, and visually grounded language evaluation. Projects: Key roles in SciBorg (scientific text extraction), Deep Thought (hybrid NLP methods), and multiword expression research. Active in open-source NLP tool development and DELPH-IN's grammar frameworks. Labs/Teams: Central member of DELPH-IN consortium, advancing open-source grammars and semantic representations. Collaborates on interdisciplinary projects linking computational linguistics with scientific domains.

• Sports Science
• Biomechanics
• Machine Learning
• +۳ مورد دیگر

Jason Weber serves as an Adjunct Lecturer in the School of Human Sciences at The University of Western Australia, contributing to the UWA Tech & Policy Lab. His work bridges sports science, data analytics, and technology governance with a specialized focus on Australian Rules Football. He holds a doctorate and has established expertise in biomechanics, machine learning applications, and ethical data frameworks within professional sports contexts. His research spans sports biomechanics (ground contact time, reaction forces), machine learning (neural networks for athlete tracking), and data governance. He integrates computer vision, social network analysis, and inertial measurement units to develop field-based performance evaluation methods. Key interests include validity/reliability testing of measurement techniques and ethical implications of athlete data collection in professional sports. Recent publications (2022-2024) demonstrate a concentrated focus on Australian Rules Football analytics using neural networks for location tracking and social network analysis for strategy clustering. His work consistently addresses the intersection of technology, ethics, and policy in sports data management, with increasing emphasis on real-time field applications and governance frameworks. Scientific Awards: No specific awards, fellowships, or medals are documented in the available information. Dr. Weber actively engages in policy-oriented collaborations, co-organizing a 2020 working group on professional sport data collection and participating in the 'Calling the Game' public event on sports technology governance. These initiatives highlight his role in shaping ethical data practices, though no formal student advising or grant funding details are provided. He operates within the UWA Tech & Policy Lab's interdisciplinary environment, collaborating with sports scientists, computer vision experts, and legal scholars. His current work emphasizes practical field applications of AI in sports performance analysis and developing governance models for athlete data systems.

Michael Collinsمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +۳ مورد دیگر

Michael Collins is the Vikram S. Pandit Professor of Computer Science at Columbia University, where he has been since January 2011. He previously held roles at MIT and AT&T Labs-Research. His research focuses on natural language processing (NLP) and machine learning, emphasizing statistical methods and their applications in parsing, question answering, and cross-lingual systems. Collins teaches courses such as COMS W4705 (Natural Language Processing) and has online teaching materials from a Coursera course in 2013. Affiliations include Columbia University and Google NYC. He is affiliated with the Department of Computer Science and leads research in NLP. His work spans theoretical foundations like parsing algorithms and practical applications such as machine translation and semantic grounding. Collaborations with students and postdocs have produced influential models and frameworks (e.g., Qed for explainable QA systems). He has also contributed to benchmark datasets like the Natural Questions corpus. Collins' awards include the NSF Career Award, ACL Fellowship, and multiple best paper awards. His advising includes students like Avner May and Karl Stratos. Research outputs span 20+ years, with recent focus on attribution methods, cross-lingual parsing, and QA systems. His NLP notes and course materials are widely referenced in academic and industrial settings.

• Translation Studies
• Interpreting Studies
• Intercultural Communication
• +۵ مورد دیگر

Professor Kayo Matsushita is a distinguished scholar in Translation and Interpreting Studies at Rikkyo University in Tokyo, Japan. She serves as Professor in the College of Intercultural Communication, Department of Intercultural Communication, and holds concurrent appointments in both the Master's and Doctoral Programs of the Graduate School of Intercultural Communication. Previously an Associate Professor at Rikkyo University (2017-2022) and International Christian University (2014-2017), she also maintains visiting positions at European institutions including KU Leuven and University of Tartu. Her academic career builds upon extensive professional experience as a journalist with The Asahi Shimbun and as a professional interpreter. Professor Matsushita's academic background reflects her interdisciplinary expertise across journalism, translation, and intercultural communication: PhD in Intercultural Communication from Rikkyo University Master of Science in Journalism from Columbia University Graduate School of Journalism Bachelor of Arts in Journalism from Sophia University Professor Matsushita's research focuses on the intersection of translation, journalism, and intercultural communication, with particular emphasis on risk management in translation decision-making. Her work explores remote interpreting technologies, corpus-based interpreting studies using the Japan National Press Club (JNPC) Interpreting Corpus, and the unique translation practices of Japanese newspapers. She investigates how political speeches are translated across cultures, the impact of the pandemic on interpreting practices, and develops innovative methods for interpreter training using parallel corpora. Her research bridges theoretical frameworks with practical applications in the translation industry. Professor Matsushita's recent publications reveal a strong focus on the transformation of interpreting practices during and after the pandemic, with several studies analyzing remote simultaneous interpreting (RSI) technologies and their impact on the Japanese interpreting industry. Her work consistently applies corpus-based methodologies to examine translation and interpreting phenomena across multiple language pairs. She has pioneered research on the JNPC Interpreting Corpus, exploring linguistic interference patterns in Japanese-English, Japanese-Chinese, and Japanese-Spanish interpretation. Her scholarship demonstrates increasing interest in AI applications for translation quality assessment and the cognitive aspects of interpreter performance. Professor Matsushita's scholarly contributions have been recognized with prestigious awards: 2002: Association of Alternative Newsweeklies (AAN) Alternative Newsweekly Awards (1st place, Feature Writing) for 'Seven Days at Ground Zero' 1996: Sophia University Russel Brines Scholarship Professor Matsushita actively supervises graduate students in the Master's and Doctoral Programs of Intercultural Communication at Rikkyo University, guiding research on translation, interpreting, and intercultural communication. Her courses include Advanced Seminar series, Conference Interpreting, Translation and Interpreting Practicum, and Master's Thesis Supervision. She has led significant research projects including the construction of the Japan National Press Club Interpreting Corpus, a government-funded four-year project (2016-2020) that created a valuable resource for interpreting studies. Her research has been supported by grants from Japanese academic funding bodies, and she serves on the Science Research Committee of the Japan Society for the Promotion of Science. Professor Matsushita co-leads the research team developing the Japan National Press Club (JNPC) Interpreting Corpus, a bilingual Japanese-English resource that has expanded to include Chinese and Spanish language pairs. This collaborative project involves multiple institutions and has produced significant research outputs in corpus-based interpreting studies. She is actively involved with the Japan Association for Interpreting and Translation Studies (JAITS), where she previously served as Head of the Kanto Chapter and Director. Her research group focuses on applying corpus linguistics methodologies to solve practical problems in translation and interpreting, particularly examining risk management strategies in professional practice.

• Developmental Language Disorders
• Childhood Speech Language and Communication Needs
• Intervention Mechanisms
• +۶ مورد دیگر

Carol-Anne Murphy is an Associate Professor in Speech and Language Therapy at the School of Allied Health, Faculty of Education and Health Sciences, University of Limerick. She serves as a member of the Centre for Implementation Research UL (CIRC_UL) Programme Monitoring Group and the Health Research Institute (HRI), with research focused on childhood speech, language and communication needs, particularly Developmental Language Disorders (DLD). Academic Background PhD, Newcastle University Masters in Health Services Management, Trinity College Dublin Graduate Certificate in Teaching and Learning, University College Cork Bachelor in Speech and Language Therapy, University of Ulster Her research centers on intervention mechanisms, outcome measures, and assessment tools for Developmental Language Disorders, with emphasis on collaborative practice in educational settings and dynamic assessment approaches. She actively investigates ecologically valid primary, secondary, and tertiary intervention models through interprofessional health-education partnerships. Recent publications (2024-2025) demonstrate a concentrated focus on peer-mediated interventions for minimally speaking autistic preschoolers, examining feasibility, stakeholder acceptability, and children's perspectives through qualitative methodologies. These works contribute to developing practical school-based support systems grounded in implementation science principles. Scientific Recognition Health Research Board Fellowship Murphy currently accepts PhD students and has secured significant funding including Health Research Board grants (Covid Rapid Response project, Applied Programme Grant 2023-2027) and an NCSE-funded capacity-building project for schools supporting children with speech, language and communication needs. She co-leads the TICLD group's Maximising Intervention for Language Disorders Project developing Core Outcome Sets for DLD interventions. Her institutional affiliations include active roles in CIRC_UL, HRI, and TICLD, with previous leadership in COST Action IS1406 (2015-2019) focusing on European-wide interventions for children with language disorders. She co-authored the Routledge publication 'Managing Children with Developmental Language Disorders' and contributed to international consensus on DLD identification through the Catalise consortium.

Gianluca Demartiniمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Gianluca Demartini is a Research Fellow at The University of Queensland's School of Electrical Engineering and Computer Science. He was appointed in 2025 under the Dieter Schwarz Fellowship program, hosted by Prof. Maribel Acosta. His work intersects artificial intelligence, machine learning, and quantum computing, focusing on applications in computer vision, natural language processing, and human-AI collaboration. Research Interests: Grounding natural language to 3D scenes Data-driven algorithms for signal and information processing Toward more general deepfake detection through anomaly-based analysis Bridging quantum logic, artificial intelligence, and quantum computation Trustworthy Knowledge Graphs Software Engineering for AI Scientific Awards Dieter Schwarz Fellowship

• Geospatial Artificial Intelligence
• Explainable Artificial Intelligence
• Causal Inference
• +۴ مورد دیگر

Chuan Chen is a researcher at the Technical University of Munich , affiliated with the Chair of Cartography and Visual Analytics . His work focuses on the intersection of Geospatial Artificial Intelligence (GeoAI) , Explainable AI (XAI) , Causal Inference , and Visual Analytics , aiming to improve the interpretability and policy relevance of spatial modeling. Research Interests include responsible AI applications in urban contexts, population distribution modeling, and frameworks for transparent decision-making using geospatial analysis. His studies emphasize ethical AI, causal mechanisms, and spatial representation. Recent publications highlight his contributions to geospatial modeling, AI ethics narratives, and urban sustainability. He applies explainable AI to frozen ground analysis, population distribution predictability, and AI risk decoding from news data. Teaching includes courses like Image Analysis for Mapping (M.Sc., since 2022) and Mapping for a Sustainable World (M.Sc., 2023 Summer). He supervises master theses and seminars on AI ethics and global-scale visual analysis.

• Computational Linguistics
• Artificial Intelligence
• Text Generation
• +۶ مورد دیگر

Sujian Li is an active researcher in computational linguistics and natural language processing, with recent contributions to advanced large language model applications. Their work spans multiple critical areas including hierarchical memory frameworks for Wikipedia generation, self-refining entity grounding systems, and long-context embedding model extensions. Key Research Areas: Continual learning in NLP, multimodal reasoning, cross-lingual knowledge transfer, and factual consistency evaluation. Notable Methods: MOG framework for structured generation, ISR self-refinement scheme, LongAttn token-level analysis, and IPR step-level process refinement. Article Trends show a focus on improving LLM robustness through adversarial training, enhancing coherence via discourse-level graph modeling, and developing benchmarks like WIKIGENBENCH for real-world evaluation. Their research also addresses knowledge integration in biomedical multilingual models (KBioXLM) and mathematical parsing via tree-structured decoding. Collaborations include leading researchers like Yifan Song, Dawei Zhu, and Wenhao Wu across institutions and projects.

Alexander Gahrمشاهده پروفایل

مدرس

• German as a Foreign Language
• Verb-Preposition Combinations
• Second Language Acquisition
• +۴ مورد دیگر

Alexander Gahr is a Lecturer in German as a Foreign Language at the University of Las Palmas de Gran Canaria (ULPGC), Spain. He earned his doctorate from the University of Santiago de Compostela under the supervision of Prof. Dr. Meike Meliss. His research focuses on verb-preposition combinations (VmP/TMP) in German language learning, particularly at beginner levels (A1-A2) of the Common European Framework of Reference for Languages (CEFR). His research interests lie at the intersection of second language acquisition, corpus linguistics, and pedagogical grammar. He investigates how learners struggle with verb-preposition combinations due to both intra- and interlingual factors, including interference from their native languages and inconsistencies in teaching materials. His work emphasizes the need for empirically grounded vocabulary lists tailored to specific CEFR levels, especially A1. The available article reflects a recent study presented in 2024, which combines qualitative corpus analysis using DeReKo with systematic evaluation of existing teaching resources such as Goethe Institute word lists, grammars, and dictionaries. The goal is to develop a high-frequency, pedagogically relevant list of verb-preposition combinations for A1 learners, addressing gaps in current German as a foreign language instruction. He has presented his findings at the Leibniz Institute for the German Language (IDS) in Mannheim, indicating active engagement with the academic linguistic community in Germany. His methodological approach integrates corpus linguistics with applied language teaching concerns, aiming to improve instructional materials and learner outcomes.