جستجوی استاد راهنمای دانشگاهی

• Audiovisual Translation
• Accessibility for Deaf and Hard of Hearing
• Subtitling for the Deaf
• +۴ مورد دیگر

Dr. Silvia Martínez Martínez is a Researcher in the Department of Philology and Translation at the University of Granada, specializing in German Philology with a PhD completed in 2015. Her academic work centers on accessibility in audiovisual translation, particularly subtitling for the deaf and hard of hearing (SpS), and audio description across multilingual contexts. Her research interests include: Audiovisual Translation Accessibility for Deaf and Hard of Hearing Subtitling for the Deaf Translation Technology German-Spanish Translation Audio Description Terminology Analysis of her 15 most recent publications (2022-2025) reveals dominant trends in AI-driven accessibility solutions, cross-linguistic corpus studies (German/Spanish/English), and innovative pedagogical applications. Key thematic clusters include sound translation in streaming/VOD platforms, gamification in STEM education, vitivinicultural terminology, and cultural adaptation in music translation, demonstrating her interdisciplinary approach spanning translation technology, medical accessibility, and sociological studies. She has received the Premio Francisco Ayala (2012) for her contributions to translation studies, recognizing her work on accessibility frameworks and specialized translation methodologies. Dr. Martínez Martínez actively contributes to educational innovation through projects like DESAM (accessible museum resources) and OPERA (cultural accessibility), while her supervision of PhD candidates and development of didactic tools for audio description training underscore her commitment to advancing inclusive translation practices in academic and professional settings.

• Crowdsourcing
• Human-Computer Interaction
• Digital Health
• +۷ مورد دیگر

Simo Hosio is an Academy Research Fellow (2022-2027) and Professor of Computer Science and Engineering at University of Oulu's Center for Ubiquitous Computing, where he leads the Crowd Computing Research Group. He also maintains a visiting position at University of Tokyo, Japan. Having graduated as the first Finnish scholar under Microsoft Research Cambridge's Ph.D. scholarship program, he has published over 150 peer-reviewed scientific articles spanning two decades of research. Hosio's research spans three primary domains: crowdsourcing methodologies, human-computer interaction, and digital health applications. His work pioneers novel approaches to online labor markets, investigates the suitability of crowdsourcing for diverse applications, and explores HCI aspects of digital health solutions for chronic conditions. His research group, founded in 2020, has secured nearly two million USD in funding, demonstrating significant research impact and recognition. Analysis of Hosio's recent publications reveals a strong trend toward interdisciplinary research at the intersection of crowdsourcing, healthcare technology, and emerging AI systems. His work increasingly focuses on practical applications of crowd computing in health contexts, with growing attention to mental health, women's health, and workplace well-being solutions. The integration of AI and machine learning techniques with traditional HCI approaches represents another significant trajectory in his recent scholarship. Distinguished Paper Award (2024) Best Paper Honourable Mention Award (2022) PMCJ Best Research Paper (awarded in 2024) Best Paper Award (2022) Best Full Paper Award (2015) Honorable Mention Award (2014) Best Paper Presentation award (2010) As an educator, Hosio has taught Human-Computer Interaction (2019-2025) to over 260 students in 2024, Social Computing (2018-2021) to approximately 60 students annually, and Applied Computing (2015-2018) to around 50 students each year. His research group's nearly two million USD in secured funding demonstrates significant grant acquisition success, supporting innovative work at the intersection of crowd computing, health technology, and human-centered AI systems. The Crowd Computing Research Group, founded by Hosio in 2020, represents a significant research infrastructure focused on advancing methodologies for crowd-powered systems. The group's work spans from fundamental research on crowd labor markets to applied projects in healthcare, workplace well-being, and social computing, demonstrating a strong commitment to both theoretical advancement and practical impact.

Patrick Jailletمشاهده پروفایل

استاد

• Online Optimization
• Machine Learning
• Sequential Decision Making Under Uncertainty
• +۴ مورد دیگر

Patrick Jaillet is the Dugald C. Jackson Professor in the Department of Electrical Engineering and Computer Science at MIT's School of Engineering. He holds joint appointments with the Laboratory for Information and Decision Systems (LIDS), the Operations Research Center (ORC), the Operations Research and Statistics Group at MIT Sloan, and the Department of Civil and Environmental Engineering. Previously, he served as Head of Civil and Environmental Engineering at MIT (2002-2009) and Chair of the Department of Management Science and Information Systems at UT Austin (1997-2002). Dr. Jaillet's research focuses on online optimization and learning, sequential decision-making under uncertainty, and security and resilience in complex networks. His work spans theoretical foundations in optimization and machine learning with applications in transportation, online market analytics, and network security. He has developed mathematical frameworks for problems involving uncertainty, dynamic resource allocation, and strategic behavior in complex systems. His recent publications reveal strong trends in bridging theoretical optimization with practical machine learning applications. Key themes include Bayesian optimization for black-box functions, online learning with limited information, mechanism design for resource allocation, and network security applications. His work increasingly integrates large language models with traditional optimization techniques, reflecting the evolving landscape of AI-driven decision-making systems. Fulbright Scholar (1990) Fellow of the Institute for Operations Research and Management Science (INFORMS) Best Applications Paper Award at ICAPS 2019 Long-standing Associate Editor for top journals including Operations Research and Transportation Science Dr. Jaillet has advised over 40 doctoral students who now hold prominent positions in academia and industry, including faculty positions at MIT, Georgia Tech, and ETH Zurich, and research scientist roles at Amazon, Microsoft Research, and Google. His research has been consistently funded by major agencies including NSF, ONR, AFOSR, and international partners like Singapore NRF, with current projects focusing on learning algorithms for autonomous security and fundamental tradeoffs in optimization. He leads a vibrant research group spanning MIT's EECS department and ORC, with current funding supporting work on neural bandits, federated optimization, and network security applications. His research group operates at the intersection of theory and practice, with strong connections to industry through collaborations with IBM, Microsoft, Google, and various transportation and technology companies. The group maintains active partnerships with international institutions, particularly through SMART in Singapore, reflecting Dr. Jaillet's global research impact.

Neil Lawrenceمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Uncertainty Quantification
• +۳ مورد دیگر

Neil Lawrence is the inaugural DeepMind Professor of Machine Learning at the University of Cambridge's Department of Computer Science and Technology. He also holds positions as a Senior AI Fellow at The Alan Turing Institute and a Visiting Professor of Machine Learning at the University of Sheffield. After three years as Director of Machine Learning at Amazon, Lawrence recently returned to academia, bringing extensive industry experience to his academic work. Lawrence's research focuses on the intersection of machine learning with the physical world, particularly in uncertainty quantification and end-to-end solutions for real-world applications. His work was initially inspired by deploying machine learning systems in African contexts, where comprehensive solutions are often required. His technical expertise spans over two decades in machine learning methods, with a growing interest in public understanding of machine learning, policy decisions, and data governance implications. His recent publications reveal a diverse research portfolio spanning climate science, healthcare applications, systems engineering for AI deployment, data governance, and theoretical machine learning. Lawrence's work demonstrates a consistent theme of bridging theoretical machine learning with practical applications across multiple domains, with particular attention to uncertainty quantification and the societal implications of AI systems. Lawrence serves on the board of the AISTATS conference and the ELLIS Foundation, and acts as the founding and series editor for the Proceedings of Machine Learning Research. He is also the co-host of the Talking Machines podcast, demonstrating his commitment to public engagement with machine learning concepts. At Cambridge, Lawrence teaches Advanced Data Science (Part II) and Machine Learning and the Physical World (MPhil ACS, Part III), contributing to both undergraduate and postgraduate education in computer science. His work with the Accelerate Programme for Scientific Discovery and the Data Trusts Initiative positions him at the forefront of developing frameworks for responsible and effective AI deployment in scientific and societal contexts.

• Hybrid Intelligence
• Human-centered Generative AI
• Federated Learning
• +۱ مورد دیگر

Florian Leiser is a Professor at the Chair of Information Infrastructures (led by Prof. Dr. Ali Sunyaev) at Technical University of Munich's Heilbronn campus. His research focuses on human-AI collaboration, privacy-preserving algorithms, and explainability in machine learning systems. Current research areas include Hybrid Intelligence, Human-centered Generative AI (LLMs), Federated Learning, and Health Information Systems Recent publications demonstrate expertise in Explainable AI for medical imaging LLM hallucination detection Federated learning architectures Human-in-the-loop systems Healthcare data applications He contributes to teaching through Human-Centered Artifact Design courses Collaborative teaching roles in machine learning Supervising student projects

Uma Pradhanمشاهده پروفایل

دانشیار

• Anthropology
• Development studies
• Applied linguistics and educational linguistics
• +۶ مورد دیگر

Dr. Uma Pradhan is an Associate Professor at UCL's Institute of Education (IOE), Faculty of Education and Society, and serves as Deputy Programme Leader for BA Education, Culture, and Society. She also holds the position of Inclusion Co-Lead for the Department of Education, Practice and Society (EPS). At UCL, she is actively involved with the Centre for Education and International Development (CEID) and the Centre for the Study of South Asia and the Indian Ocean World. Prior to her current position, Dr. Pradhan was a Lecturer and Leverhulme Early Career Fellow at the University of Oxford from 2018 to 2022, and then a Lecturer at University College London from 2022 to 2024 before her promotion to Associate Professor in 2024. Dr. Pradhan's research spans multiple interconnected fields including Anthropology, Development Studies, Applied Linguistics, Humanitarian Disasters, Conflict and Peacebuilding, and Educational Technology. Her work particularly focuses on South Asian educational contexts, with extensive research on Nepal's educational landscape. She examines how educational policies intersect with social structures, linguistic diversity, and political transformations, with special attention to marginalized communities and post-disaster educational reconstruction. Her research demonstrates a consistent commitment to addressing educational inequality and exploring how education can serve as a vehicle for social justice. Dr. Pradhan's scholarly output reveals a strong focus on the intersections between language, technology, and education in South Asia. Her recent publications examine how artificial intelligence is being used for indigenous language preservation, the impact of the pandemic on educational systems across South Asia, and the bureaucratic mechanisms that can inadvertently reproduce social inequality through scholarship programs. Her work consistently connects theoretical frameworks with practical implications for educational policy and practice. Leverhulme Early Career Fellow Fellow of Higher Education Academy (FHEA) As an academic leader, Dr. Pradhan supervises research degrees and engages in collaborative projects and consultancy work. Her research aligns with several United Nations Sustainable Development Goals, particularly Quality Education (SDG 4), Reduced Inequalities (SDG 10), Peace, Justice and Strong Institutions (SDG 16), and Partnerships for the Goals (SDG 17). Her position at the intersection of multiple research centers at UCL enables her to foster interdisciplinary collaborations that address complex educational challenges in global contexts.

• Machine Learning
• Data Visualization
• Cybersecurity
• +۳ مورد دیگر

Duen Horng (Polo) Chau is an Associate Professor of Computing at Georgia Institute of Technology, where he co-directs the MS Analytics program. He serves as Director of Industry Relations for The Institute for Data Engineering and Science (IDEaS) and Associate Director of Corporate Relations for The Center for Machine Learning. Ph.D. in Machine Learning from Carnegie Mellon University His research group integrates machine learning and visualization to develop scalable interactive tools for analyzing massive datasets, interpreting AI models, and addressing challenges in cybersecurity, human-centered AI, graph visualization and mining, and social good. His work has led to open-sourced or deployed technologies by Intel (e.g., ShapeShifter, SHIELD), Google, Facebook, Symantec (Polonium, AESOP), and Atlanta Fire Rescue Department, with Symantec's AESOP protecting 120 million users from malware. Scientific Awards & Fellowships: Carnegie Mellon University Computer Science Dissertation Award (Honorable Mention) Intel Outstanding Researcher Award Raytheon Faculty Fellowship Edenfield Faculty Fellowship Outstanding Junior Faculty Award The Lester Endowment Award Symantec Fellowship (twice) Best Student Paper (SDM'14) Runner-up Best Student Paper (KDD'16) Runner-up Best Demo (SIGMOD'17) Chinese CHI'18 Best Paper ACM TiiS 2018 Best Paper (Honorable Mention) He has received research grants from NSF, NIH, NASA, DARPA, Google, NVIDIA, IBM, Yahoo, Amazon, Microsoft, eBay, and LexisNexis. His leadership roles include steering committee membership for ACM IUI, Associate Editor for ACM TIIS, and organizing chairs for ACM KDD'14, ACM WSDM'16, and the IDEA workshop at KDD.

John Hortyمشاهده پروفایل

استاد

• Logic
• Artificial Intelligence
• Ethics
• +۳ مورد دیگر

John Horty is a Distinguished University Professor in the Philosophy Department at the University of Maryland, with affiliate appointments in the Institute for Advanced Computer Studies and the Computer Science Department. His research integrates logic, artificial intelligence, ethics, epistemology, philosophy of language, and philosophy of law to address complex questions in human cognition, legal systems, and normative reasoning. Horty holds a BA in Classics and Philosophy from Oberlin College and a PhD in Philosophy from the University of Pittsburgh. He has authored four books and over 40 papers, exploring topics such as defeasible reasoning, stit semantics, and the open texture of legal language. Education: BA (Oberlin College), PhD (University of Pittsburgh) Research Interests: Logic, artificial intelligence, ethics, epistemology, philosophy of law, and philosophy of language. Article Trends: Focus on computational legal reasoning, default logic, stit semantics, and the intersection of law and nonmonotonic logic. Scientific Awards and Grants: Humboldt Research Award Three National Endowment for Humanities Fellowships Visiting Fellowships at the Netherlands Institute for Advanced Studies and Stanford’s Center for Advanced Studies in Behavioral Sciences Carole Hafner Best Paper Award (2017), Honorable Mention at AAAI-87 NSF Grants for interdisciplinary research Teaching and Affiliations Teaches courses in symbolic logic, legal reasoning, and defeasible reasoning Affiliate in the University of Maryland Institute for Advanced Computer Studies and the Computer Science Department

Dinesh Manochaمشاهده پروفایل

استاد

• Computer Graphics
• Robotics
• Virtual Reality
• +۴ مورد دیگر

Dinesh Manocha is a Distinguished University Professor of Computer Science at the University of Maryland, with joint appointments in the Department of Electrical and Computer Engineering and the University of Maryland Institute for Advanced Computer Studies (UMIACS). He is also affiliated with the Maryland Robotics Center and the Institute for Systems Research. His educational background includes a Ph.D. in Computer Science from the University of California at Berkeley (1992) and a B. Tech in Computer Science and Engineering from the Indian Institute of Technology, Delhi, India (1987). Professor Manocha's research spans multiple domains with significant emphasis on: Computer Graphics and Visualization Robotics and Motion Planning Virtual and Augmented Reality Systems Geometric Computing Algorithms AI Applications for Autonomous Systems High Performance Computing His extensive publication record shows consistent innovation in multi-agent navigation, collision avoidance algorithms, and applications in virtual environments. Recent work focuses on trajectory prediction for autonomous vehicles and physics-based simulation for immersive experiences, with algorithms integrated into industry-standard systems like ROS (Robot Operating System). Among his numerous honors, Professor Manocha is recognized as: ACM, IEEE, AAAS, and AAAI Fellow Member of the IEEE VGTC Virtual Reality Academy Recipient of the Pierre Bézier Award from the Solid Modeling Association University of Maryland Distinguished University Professor Multiple best paper awards across premier conferences He has supervised 54 PhD students throughout his career and currently advises numerous graduate researchers. His research has attracted significant funding from NSF, Google, Amazon, Facebook, and industry partners. Notably, he co-founded Impulsonic, a company developing physics-based audio simulation technologies acquired by Valve Corporation in 2016. Professor Manocha leads the GAMMA research group, which continues to advance geometric algorithms with applications across multiple disciplines.

David Brownمشاهده پروفایل

استاد

• Accessibility
• Virtual Reality
• Multimodal Affect Recognition
• +۵ مورد دیگر

David Brown is a Professor in Interactive Systems for Social Inclusion at Nottingham Trent University's School of Science & Technology, Department of Computer Science. He serves as Director of the Computing and Informatics Research Centre (CIRC) and Research Group Leader for the Interactive Systems Research Group (ISRG). Director, Computing and Informatics Research Centre Research Group Leader, Interactive Systems Research Group Governor, Oak Field School for students with severe learning disabilities Conference Chair, International Conference on Disability, Virtual Reality and Associated Technology (ICDVRAT21) Associate Editor, Frontiers: Virtual Reality in Medicine Professor Brown's research focuses on developing inclusive technologies for people with disabilities. His work spans accessibility for students with learning, physical and sensory impairments; virtual reality applications for rehabilitation; multimodal affect recognition systems; social robotics for education; accessible visual programming toolkits; and serious games for developing physical and cognitive skills. His research is characterized by strong interdisciplinary collaboration and practical application in educational and healthcare settings. His recent publications demonstrate a consistent focus on applying emerging technologies like virtual reality, machine learning, and social robotics to address real-world challenges in accessibility and inclusion. The research shows a clear trajectory toward increasingly sophisticated multimodal systems that can detect user states and adapt accordingly, with applications ranging from autism support to mental health interventions. Extensive EU-funded research projects including Horizon 2020, Erasmus+, and EPSRC grants Notable projects: DIVERSIA, MaTHiSiS, Pathway, AI-TOP, EDUROB, No One Left Behind, Real Life, RISE Professor Brown has supervised numerous PhD students and collaborates extensively with international partners across Europe and Asia. His work bridges computer science, psychology, education, and healthcare to create technologies that promote social inclusion and improve quality of life for people with disabilities.

• Software Architecture
• Technical Debt Management
• Self-Adaptive Systems
• +۴ مورد دیگر

Prof. P. (Paris) Avgeriou is a full professor of Software Engineering at the Faculty of Science and Engineering , University of Groningen (RUG). His research focuses on software architecture , technical debt management , and self-adaptive systems through empirical studies and industrial collaborations. His work explores architectural decision-making using financial investment models, machine learning for debt detection, and dependency analysis in software systems. Recent projects include SDK4ED for energy-efficient embedded systems and DebtViz for debt visualization. Key article trends include technical debt lifecycle analysis (2023-2025), self-adaptive systems (2025), and modular architecture challenges (2024). Keywords span Computer Science , Machine Learning , and Software Systems . As an ancillary academic activity , he serves as editor for the Journal of Systems and Software (Elsevier). His collaborations extend to institutions in the Netherlands, Brazil, and Italy, with research outputs appearing in IEEE and ACM venues.

• Digital Health
• Human-Computer Interaction (HCI)
• User-Centered Design
• +۱۱ مورد دیگر

Professor Marilyn Lennon is a leading academic in the Department of Computer and Information Sciences at the University of Strathclyde , holding the title of Professor in Digital Health and Care. She founded and directs the Digital Health and Wellness Group (DHaWG) , focusing on multidisciplinary research for designing, evaluating, and implementing digital technologies that enhance individual and population health and wellbeing. First class BSc in Psychology (University of Glasgow, 1998) PhD in Computing Science (University of Glasgow, 2002) Postgraduate diploma in academic practice (Fellow of Higher Education Academy) With over two decades of experience in Human-Computer Interaction (HCI) , usability, and user-centered design, her research spans wearable and mobile technologies for home healthcare, including remote monitoring (predictive falls monitoring), remote diagnosis (colon capsule technology evaluations), and smart home solutions for social care. She specializes in addressing technical and social barriers to real-world health technology implementation, emphasizing robust yet rapid evaluation methods. Recent publications highlight her work in 3D healthcare visualization, telehealth implementation, and medication management systems. Her research combines lab-based usability testing with real-world ('in the wild') evaluations of technologies like smart home systems and telehealth solutions. Key trends include cross-disciplinary collaboration, accessibility for sensory-impaired individuals, and AI-driven healthcare innovations. Scientific Awards MyCity: Glasgow - Gamechanger Award (Gold Medal) 2025 Images of Research 2025 Shortlist Emerald Outstanding Paper Award 2013 Best Paper Award (most replicable scientific paper) 2013 As course director for the Masters in Digital Health Systems , she has supervised 5 PhD students (2 completed) and over 100 honors projects. Current projects include the No Need to Fall initiative funded by the Health Foundation (£400k) and the PREMIO project co-creating clinical trials in advanced breast cancer. She maintains active collaborations with NHS, charities, and international institutions like the University of Waterloo.

Arnab Nandiمشاهده پروفایل

استاد

• Database Systems
• Human-in-the-Loop Data Analytics
• Next-Generation Query Interfaces
• +۱۰ مورد دیگر

Arnab Nandi is a Professor in the Department of Computer Science & Engineering at The Ohio State University. His work bridges human interaction with data infrastructure, focusing on database systems, LLM-augmented analytics, and immersive query interfaces. Education: PhD in Computer Science & Engineering from the University of Michigan Leadership: Co-founder of OHI/O Hackathon Program and STEAM Factory interdisciplinary network Research spans human-in-the-loop data analytics , vibe querying (natural language + gestural interfaces), LLM integration into education, and climate response systems . Key projects include Omni (multimodal exploration), GestureDB , and Icarus (clinical pipelines). Recent publications analyze LLM-driven query stacks (HILDA 2025), video analytics (SIGMOD 2022), and data sunglasses for cognitive limits (HILDA 2025). Awards include NSF CAREER Google Faculty Research Award IEEE TCDE Early Career Award ACM Distinguished Member Advises students in database innovation , with alumni at Amazon, AWS, Roblox, and Meta. Teaches CSE 3241 (Database Systems), CSE 5889 (Software Startups), and CSE 5242 (Advanced Databases).

• Linguistics
• Language Evolution
• Cultural Evolution
• +۵ مورد دیگر

Anna Jon-And is a Researcher and Director of the Center for Cultural Evolution at Stockholm University , affiliated with the Department of Psychology . Her interdisciplinary work bridges linguistics , cognitive science , and cultural evolution , focusing on how sequence representation , language contact , and computational models explain the emergence of human language and its unique properties. Research Interests include: Language evolution through sequence learning and cognitive constraints Contact-induced language change in Portuguese varieties (Angola, Mozambique, Afro-Brazilian communities) Computational modeling of grammatical structure emergence Comparative analysis of pidgins, creoles, and non-contact languages Neurocognitive prerequisites for language and cultural complexity Publications highlight trends in language evolution models , compositional systems , and cross-linguistic complexity cycles . Her work demonstrates how demographic factors and learnability pressures drive linguistic innovation in multilingual settings. The Center for Cultural Evolution at Stockholm University serves as the primary platform for her interdisciplinary research initiatives.

• Agricultural Engineering
• Robotics
• Computer Science
• +۱۲ مورد دیگر

Ard Nieuwenhuizen is a Researcher at Wageningen University & Research in the Agro Field Technology Innovations department. His expertise spans Agricultural Engineering , Robotics , and Machine Learning , focusing on AI-driven solutions for crop management and harvesting automation. Agro Field Technology Innovations, Wageningen University & Research Research Interests Robotics and intelligent systems for agricultural operations Digital twin technology and precision agriculture Computer vision for weed and crop detection Human-robot collaboration in farming Machine learning for agricultural automation Publication Trends : His recent work emphasizes agricultural robotics , digital twins , and AI-driven crop monitoring , with applications in apple/pear harvesting, soybean weed detection, and spray optimization. Articles highlight collaborations with European institutions and contributions to journals like Smart Agricultural Technology . Projects : He leads initiatives such as Smart Autonomy for Precision Agriculture (SMP25029) and Redesigning future food production systems through AI and robotics (KB-53-000-010), focusing on integrating robotics and data science into sustainable farming practices.