جست‌وجوی استاد و پژوهشگر

• Nutrigenomics
• Diet and Cancer
• Cancer Cachexia
• +۳ مورد دیگر

Svanhild Margrethe Arentz Schønberg is a Professor and Head of the Department of Health Sciences Ålesund at the Norwegian University of Science and Technology (NTNU), Faculty of Medicine and Health Sciences. Her research focuses on the molecular mechanisms of dietary factors, particularly omega-3 polyunsaturated fatty acids (PUFAs), in cancer progression and cachexia. Education: Cand.Scient. in Chemistry (1989), University of Trondheim Doctor scientiarum in Biochemistry (1997), NTNU Research Interests: Nutrigenomics and dietary influence on cancer Mechanistic studies of omega-3 PUFAs in colon, gastric, and retinal cancers Molecular pathways in cancer cachexia Article Trends: Her peer-reviewed work spans in vitro and in vivo studies on omega-3 fatty acids' anti-tumor effects, ER stress modulation, autophagy induction, and lipid metabolite analysis. Keywords include Cancer Research, Biochemistry, and Nutrigenomics.

• Machine Learning
• Quantum Computing
• Natural Language Processing
• +۵ مورد دیگر

Oliver Mortensen is a PhD Fellow (Research Fellow) at the Machine Learning Section , Department of Computer Science (DIKU) , University of Copenhagen , Denmark. He is affiliated with the university’s Faculty of Science and participates in the cross-faculty SCIENCE AI Centre , a strategic initiative to advance artificial intelligence research and applications. Research Interests Mortensen’s research lies at the intersection of machine learning , quantum computing , and neuro-symbolic AI . His work spans both theoretical foundations—such as entropic risk optimization in reinforcement learning and Riemannian generative models—and highly applied domains including medical AI, recommender-system fairness, and brain-computer interfaces. A recurring theme is trustworthy AI , where he investigates explainability, fairness, and sustainability across large language models and clinical decision-support systems. Scientific Contributions & Trends Across more than 60 peer-reviewed contributions (2024-2025), Mortensen demonstrates a clear trajectory toward hybrid quantum-classical algorithms , energy-efficient AI , and human-centric evaluation . His publications integrate rigorous theoretical guarantees with empirical validation on real-world data from electronic health records, satellite imagery, and conversational corpora. Collaborations & Resources He carries out his doctoral research under the supervision of Professor Yevgeny Seldin within DIKU’s vibrant Machine Learning Section. The group offers access to a dedicated high-performance compute cluster, the SCIENCE AI Centre ’s GPU/TPU pools, and interdisciplinary ties to life-science, geoscience, and humanities researchers across the university.

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

Mikko Aulamo is a Doctoral Researcher at the University of Helsinki, Faculty of Arts, Department of Digital Humanities, specializing in Language Technology. His work focuses on natural language processing, machine translation, and computational linguistics, with particular emphasis on multilingual datasets, low-resource language processing, and open-source translation tools. His research interests span across several key areas in computational linguistics. Aulamo has made significant contributions to the development of high-performance language technologies, particularly through the HPLT (High Performance Language Technologies) project and the OPUS ecosystem. His work addresses critical challenges in multilingual machine translation, parallel corpus processing, and resource development for underrepresented languages. He has published extensively on topics including neural machine translation, corpus filtering techniques, rule-based translation systems, and the creation of multilingual resources that support language technology applications across diverse linguistic contexts. Aulamo's recent publications demonstrate a clear trajectory toward creating more accessible, high-quality language technologies. His work on the HPLT project has produced substantial multilingual datasets and models, while his contributions to OPUS-MT have democratized neural machine translation. His research particularly emphasizes solutions for low-resource languages, including indigenous languages of the Americas and Scandinavian minority languages like Northern Sámi. Aulamo has been actively involved in several major research projects: High Performance Language Technologies (2022-2025) - EU Innovation actions OPUS-MT: Open Translation Models, Tools and Services (2020-2021) FoTran: Found in Translation - Natural Language Understanding with Cross-Lingual Grounding (2018-2024) - ERC Consolidator Grant fiskmö: Creation of a parallel corpus for Finnish and Swedish translation (2018-2021) He is a key contributor to the Language Technology research group at the University of Helsinki, working closely with Professor Jörg Tiedemann's team on advancing the state of the art in multilingual language processing and translation technologies.

Justīna Hudenkoمشاهده پروفایل

دانشیار

• Sustainable infrastructure
• Rail transport and logistics
• Tax systems and governance
• +۳ مورد دیگر

Justīna Hudenko is an Associate Professor at the Department of Customs and Taxation, Riga Technical University, specializing in Sustainable infrastructure Rail transport and logistics Tax systems and governance Digital technologies Blockchain Transport modelling and simulations Her research focuses on integrating sustainability principles into infrastructure development, optimizing logistics systems, and analyzing tax policy impacts. She actively combines academic work with leadership roles in transportation and climate governance. Recent publications highlight her work on GIS-based transport simulations, Green Deal policy assessments, and blockchain applications in logistics. She contributes to EU-funded projects and serves on national and international advisory boards.

Ellen Nathuesمشاهده پروفایل

استادیار

• Organization Studies
• Collaborative Processes
• Communication in Organizations
• +۷ مورد دیگر

Dr. Ellen Nathues is an Assistant Professor at the Faculty of Behavioural, Management and Social Sciences (BMS) at the University of Twente, specializing in Organization, Collaboration & Communication. She initiated 'The CCO Data Collective' for collaborative analysis of communicative constitution and performativity theories, and is affiliated with Leuphana Organization Studies (LOST). PhD (Cum Laude), University of Twente MSc in Communication Studies (Cum Laude) BSc in International Business and Management (Cum Laude) Her research explores organizational and communicative processes in pluralistic, open, and temporary contexts, focusing on multivoicedness, agency, materiality, and multimodality. Methodologically, she emphasizes ethnographic and qualitative approaches, with publications in Organization Studies , Strategic Organization , and Small Group Research . Top Papers at EGOS sub-themes Top Papers at the Organizational Communication division of the International Association of Communication She contributes to methodological advancements and interdisciplinary collaboration through her work in learning communities and interorganizational settings.

Shohini Bhattasaliمشاهده پروفایل

استادیار

• Computational Linguistics
• Neurolinguistics
• Psycholinguistics
• +۵ مورد دیگر

Shohini Bhattasali is an Assistant Professor in the Department of Language Studies at the University of Toronto Scarborough, with a cross-appointment in the Department of Linguistics at the St. George campus. She holds a PhD in Linguistics from Cornell University (2019) with a graduate minor in Cognitive Science. Her research focuses on computational neurolinguistics and computational social science, exploring neural mechanisms of language processing and mitigating bias/misinformation through NLP tools. She has held postdoctoral roles at the University of Maryland's Institute for Advanced Computer Studies and Linguistics Department. Education: PhD in Linguistics, Cornell University MA in Linguistics, Cornell University AB in Linguistics, Bryn Mawr College (magna cum laude) Research Themes: Computational Neurolinguistics: Investigates top-down prediction during sentence processing, interaction between linguistic levels and cognitive mechanisms using fMRI/EEG data. Computational Social Science: Leverages topic models and language models to uncover bias/misinformation in social media and public health texts. Grants & Projects: Principal investigator for Data Sciences Institute grant on AI-driven mitigation of harmful social media content (2023). Co-developer of the Le Petit Prince multilingual fMRI corpus (Scientific Data, 2022). Teaching: Courses include Syntax I (LINB06), Computational Methods for Linguistics (JFL1107), and Morphology (LINB10).

John Quarlesمشاهده پروفایل

استاد

• Virtual Reality
• Human-Computer Interaction
• Artificial Intelligence
• +۳ مورد دیگر

John Quarles is a Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA), part of the College of Sciences. His research focuses on virtual and augmented realities, human-computer interaction, and artificial intelligence applications. He holds a Ph.D. and M.S. in Computer Engineering from the University of Florida and a B.A. in Computer Science from the University of Texas at Austin. Quarles leads the San Antonio Virtual Environments (SAVE) Lab, which develops innovative solutions for accessibility, healthcare, and education through immersive technologies. He emphasizes accessible VR/AR systems for individuals with disabilities and has contributed to projects like GingerVR, an open-source platform for cybersickness reduction. His teaching includes courses on user interfaces and computer graphics. Beyond academia, he is a musician with diverse styles and collaborates on film scores. Education: Ph.D. in Computer Engineering, University of Florida M.S. in Computer Engineering, University of Florida B.A. in Computer Science, University of Texas at Austin Research Interests: Virtual/Augmented/Mixed Realities 3D User Interfaces Artificial Intelligence and Deep Learning Accessibility in Immersive Technologies Behavioral Interventions for Autism Labs/Teams: Director of the SAVE Lab, focusing on VR/AR applications in healthcare, education, and accessibility. Collaborates with interdisciplinary teams on projects like disability simulations and cybersickness mitigation.

Brendan David-Johnمشاهده پروفایل

استادیار

• Eye Tracking
• Virtual Reality
• Augmented Reality
• +۳ مورد دیگر

Brendan David-John is an Assistant Professor in the Department of Computer Science at Virginia Tech's College of Engineering. He is affiliated with the Private Eye Lab, focusing on interdisciplinary research at the intersection of eye tracking, virtual/augmented reality, and privacy. His work emphasizes securing user data in immersive technologies while maintaining functional utility. Education: Ph.D., Computer Science, University of Florida (2022) B.S. and M.S., Computational Mathematics and Computer Science, Rochester Institute of Technology (2017) Research Interests: Brendan's research spans privacy challenges in XR (extended reality), eye-tracking security, and human-computer interaction. He investigates methods to safeguard sensitive gaze data and enhance user awareness of privacy risks in virtual and augmented environments. His work also explores authentication techniques and perceptual risks in immersive systems. His recent publications address topics like securing bystander privacy in AR, detecting shoulder-surfing attacks through multimodal sensing, and optimizing testing frameworks for AR applications. He actively develops datasets and benchmarks for privacy-preserving eye-tracking technologies. Awards: No specific awards mentioned in the provided texts. Advising & Grants: No explicit student advisees or grant details provided. His lab, the Private Eye Lab, likely supports experimental projects in eye tracking and XR security. Labs/Teams: Directly associated with the Private Eye Lab at Virginia Tech, dedicated to advancing privacy-conscious eye-tracking technologies in immersive computing.

Bo Yuanمشاهده پروفایل

استاد

• Cybersecurity
• Malware Analysis
• Computational Intelligence
• +۳ مورد دیگر

Bo Yuan is a Professor in the Department of Cybersecurity at Rochester Institute of Technology (RIT), affiliated with the Golisano College of Computing and Information Sciences. He served as Department Chair from 2014 to 2022, leading significant growth in cybersecurity programs. His research focuses on computational intelligence applied to cybersecurity, including malware analysis, machine learning, and covert channel detection. Education: Ph.D. in Systems Science (1996, Binghamton University), MS and BS in Mathematics (Shanghai Normal University, China). Research Interests: Cybersecurity, malware detection, computational intelligence, and machine learning applications in security. He has secured over $23M in grants, including NSF CyberCorps® SFS (2015-2024, 2019-2024, 2024-2029) and DoD Cyber Scholarship Programs. His work includes developing covert channel detection methods, improving malware analysis via machine learning, and advancing cybersecurity education through game-based learning. Grants/Projects: Multiple NSF and DoD grants totaling millions, focusing on cybersecurity workforce development and research. He leads RIT’s CAE-CD and CAE-R initiatives. His research has been applied in competitions like the Northeast Collegiate Cyber Defense Competition (NECCDC). Teaching includes courses on cybersecurity analytics, machine learning, and authentication models. He advises students on topics like adversarial machine learning and network security.

• Machine Learning
• Natural Language Processing (NLP)
• Database Systems
• +۵ مورد دیگر

Tamara Babaian is a Professor of Computer Information Systems at Bentley University. She holds a Ph.D. from Tufts University and an MS from Yerevan State University. Her teaching focuses on Computer Programming, Machine Learning, Database Design, and Algorithm Analysis. Research interests include Human-Computer Collaborative Problem Solving, AI Ethics, and Business applications of Machine Learning, particularly in healthcare and enterprise systems. She actively explores interactive visualization interfaces and usability improvements in ERP systems. Education Background: Ph.D. in Computer Science, Tufts University MS in Computer Science, Yerevan State University Research Interests: Dr. Babaian investigates how collaborative AI systems can enhance human decision-making in business contexts. Her work emphasizes ethical considerations in AI deployment and designing intuitive interfaces for complex data interactions. Recent projects include speech-based health data collection systems and enterprise visualization tools that improve user navigation in ERP systems. Publications Trends: Over 30 publications since 2000, with recent focus on: Healthcare AI applications (speech-to-data interfaces) Enterprise system usability improvements Pedagogical approaches to teaching AI in business curricula Early work concentrated on open-world planning algorithms and knowledge representation in ERP systems. Advising & Grants: While specific grants aren't detailed, her extensive publication record indicates sustained research activity. No formal advisee list provided in current data. Labs & Teams: Works within Bentley's CIS department developing innovative interfaces and collaborative tools for business systems. Maintains a research website at cis.bentley.edu/tbabaian .

• Medical Imaging
• Computational Biology
• Neurology
• +۳ مورد دیگر

Dr. Norman Juchler is a researcher at the Zurich University of Applied Sciences (ZHAW) within the Institute of Computational Life Sciences. He specializes in computational methods for medical diagnosis and disease modeling, particularly focusing on intracranial aneurysms and wearable technologies. His work integrates machine learning, radiomics, and biomechanical modeling to improve clinical decision-making in neurology and vascular medicine. Research Projects - Principal contributor to Stroke DynamiX, AneuX, and Digital Futures Lab initiatives. - Co-developed the AneuX morphology database for standardized aneurysm analysis (Zenodo, 2022). - Investigated wearable technologies for pediatric infection monitoring and atrial fibrillation detection via photoplethysmography. - Validated cerebral aneurysm rupture prediction models across international cohorts. Key Research Themes Morphological analysis of intracranial aneurysms Shape-based clinical biomarker development Machine learning in medical imaging Biomechanical modeling of vascular diseases Integration of wearable devices in clinical workflows Recent Contributions His 2023 studies demonstrated shape superiority over size in aneurysm diagnostics and advanced Meniere's disease etiology analysis through radiological heterogeneity. Ongoing work explores neurovascular instability markers and open-set recognition in hematology. Labs & Networks Affiliated with ZHAW's Digital Health Lab, Center for Computational Health, and Datalab. Active in interdisciplinary groups like The Interface Group and OSR4H consortium.

Luis Humberto Eudave Ramosمشاهده پروفایل

استادیار

• Virtual Reality
• Cognitive Neuroscience
• Dream Phenomenology
• +۴ مورد دیگر

Luis Humberto Eudave Ramos is an Assistant Professor at the University of Navarra, affiliated with the Faculty of Education and Psychology (FEP) and the Department of Psychology. His research focuses on cognitive neuroscience applications of virtual reality (VR), particularly in studying attention, spatial neglect, and dream phenomenology. He holds a PhD in Neuroscience (2018) and an MSc in Cognitive Neuroscience from the University of Navarra, alongside a Medical Degree from Universidad Panamericana. Research interests include VR tool development for cognitive assessment, dream visualization through immersive technology, and multimodal evaluation of attention using EEG and eye-tracking. Current projects explore VR navigation tasks, the relationship between cognition and driving in older adults, and global pandemic behavioral responses. Key contributions include studies on spatial attention deficits in VR environments and systematic reviews of mental health biomarkers. His work bridges cognitive science with clinical applications, emphasizing open science practices. Luis collaborates with institutions like the Institute of Neurosciences of Barcelona and actively participates in academic communities through platforms like Bluesky, focusing on dream research, cognitive aging, and VR ethics.

Ania Lianمشاهده پروفایل

مدرس ارشد

• Educational Neuroscience
• Language Teaching Pedagogy
• Literacy Education
• +۵ مورد دیگر

Ania Lian serves as a Senior Lecturer in Teaching and Learning at Charles Darwin University's Faculty of Arts and Society, College of Education. She coordinates Master of Education courses, develops Higher Degree Research supervision culture, and builds international partnerships with Southeast Asian institutions, particularly in Cambodia and Indonesia. Academic Background: PhD in Dialogic Inquiry from University of Queensland (awarded June 20, 2006) Research Focus: Dr. Lian's work bridges educational neuroscience with language pedagogy, specializing in technology-enhanced language learning, critical pedagogy, and literacy education. Her recent scholarship examines AI integration in language instruction, emotional literacy development, and multisensory approaches for resource-constrained environments. Current projects address pandemic recovery in teacher education and policy implementation in Cambodian higher education. Publication Trends: Her 2025 publications reveal a strong emphasis on artificial intelligence applications in language education, with significant focus on ethical implementation, emotional intelligence integration, and context-specific adaptation for Southeast Asian educational settings. The work consistently addresses practical applications while maintaining theoretical rigor in educational neuroscience frameworks. Professional Impact: Senior Education Adviser to Cambodia's Ministry of Education, Youth and Sport Research Professor at Van Hien University (since April 2017) Supervision of 7 HDR students across Indonesia and Cambodia Principal Investigator on four major international projects Advising & Grants: Dr. Lian leads significant externally funded initiatives including 'Rainmaker Readiness' (Cambodia teacher training post-COVID), 'Educational Research in Indonesia,' and 'Policy Implementation in Cambodian Higher Education.' Her work develops practical frameworks for under-resourced institutions while building local research capacity through student supervision and international collaboration. Research Ecosystem: She operates within a robust international network focused on Southeast Asian educational challenges, particularly in Indonesia and Cambodia. Her projects integrate local cultural contexts with global educational technologies, emphasizing sustainable development through UNESCO SDG 4 (Quality Education). Current work explores AI-human collaboration models grounded in humanistic principles for transformative learning.

• Machine Learning
• Data Mining
• Text Mining
• +۳ مورد دیگر

Guillaume Cleuziou is a Full Professor at the Université d'Orléans, France, and a member of the Constraints and Machine Learning (CA) team at the LIFO laboratory (Laboratoire d'Informatique Fondamentale d'Orléans). His research focuses on machine learning, data mining, and text mining, particularly in unsupervised and semi-supervised learning methodologies for knowledge extraction from texts. He holds a master's degree in Mathematics (2000) and a MSC in Computer Science (2001), both from Université d'Orléans, where he also completed his PhD in Computer Science in 2004. Education: PhD in Computer Science, Université d'Orléans, 2004 MSC (DEA) in Computer Science, Université d'Orléans, 2001 Master's Degree in Mathematics, Université d'Orléans, 2000 Research Interests: His work emphasizes developing algorithms for text mining, including unsupervised learning techniques, semantic analysis, and the application of pretopological spaces for lexical taxonomy construction. He explores multimodal data analysis, crisis tweet categorization, and embeddings for programming education. His contributions span theoretical advancements and practical applications in data clustering, community detection, and educational technologies. Labs/Teams: He is affiliated with the LIFO laboratory and leads research within the CA team, collaborating on interdisciplinary projects involving natural language processing, machine learning, and computational linguistics. His work bridges theoretical computer science with real-world applications in disaster management, educational tools, and semantic web technologies.

• Cancer Epidemiology
• Genetic Epidemiology
• Melanoma and Skin Cancer
• +۳ مورد دیگر

Professor Anne Cust is a leading academic in cancer epidemiology, serving as Interim Director of the Daffodil Centre (a joint initiative between Cancer Council NSW and the University of Sydney) and Professor of Cancer Epidemiology at the University of Sydney’s Faculty of Medicine and Health. She is also a faculty member at the Melanoma Institute Australia and holds an NHMRC Investigator Grant. Her research focuses on melanoma and skin cancer prevention, genomic risk assessment, and translational research. Education: PhD (Cancer Epidemiology) – University of Sydney & Université Claude Bernard Lyon 1 MPH(Hons) – University of Sydney BSc and BA – University of Queensland Her work integrates genetic and environmental factors to improve risk prediction for melanoma, with contributions to clinical guidelines such as the RACGP Red Book and melanoma survival studies. She leads national initiatives like the Roadmap for Targeted Skin Cancer Screening (2024–28) and chairs key committees including the Cancer Council National Skin Cancer Committee. Research Interests: Melanoma prevention, genomic risk stratification, cancer risk modeling, and interdisciplinary collaboration to translate research into policy. Her projects include the MEL-SELF trial on patient-led surveillance and the InterMEL consortium studying melanoma survival. Awards: Includes the 2015 Sax Institute Research Action Award and 2018 NSW Premier’s Award for Cancer Research. She has over 270 publications and supervised 12 postgraduate students. Labs/Teams: Leads the Daffodil Centre’s melanoma and skin cancer research streams, collaborating internationally with institutions like the International Agency for Research on Cancer (France) and the University of Leeds (UK).