جست‌وجوی استاد و پژوهشگر

Qiyang Tanمشاهده پروفایل

پژوهشگر

• Additive Manufacturing
• Alloy Development
• Grain Refinement
• +۳ مورد دیگر

Qiyang Tan is a Research Fellow at the School of Mechanical and Mining Engineering , The University of Queensland , with affiliations to the Centre for Advanced Materials Processing and Manufacturing (AMPAM) . His research focuses on additive manufacturing of metals and MAX phases , high-temperature oxidation , alloy development , grain refinement , and machine learning applications in materials science . Education: PhD (The University of Queensland, 2018), Bachelor of Materials Science and Engineering (South China University of Technology, 2014) Dr. Tan’s research expertise includes proposing the Oxide Reinforcement Model to understand metal oxidation resistance and applying the E2EM crystallographic model to identify new grain refiners for additively manufactured materials. His work spans Al, Ti, Cu alloys , steels , and γ-TiAl intermetallic alloys , aiming to improve processability in additive manufacturing for advanced ceramics and metallic-ceramic composites. His 15 most recent publications highlight trends in additive manufacturing , grain refinement , hydrogen embrittlement , and machine learning in alloy design , with applications in high-strength alloys , ceramics , and extreme environment materials . Dr. Tan is available for supervision and has secured funding from organizations such as the Australian Research Council (ARC) , Baosteel-Australia Joint Research and Development , and HBIS Group Co, Ltd .

Almut Sophia Koepkeمشاهده پروفایل

پژوهشگر

• Multi-Modal Learning
• Computer Vision
• Audio-Visual Processing
• +۳ مورد دیگر

Dr. Almut Sophia Koepke is a junior research group leader and TUM Junior Fellow at the Technical University of Munich (TUM) and University of Tübingen. She leads the multi-modal learning research group focusing on video understanding through sound, vision, and text integration. University: Technical University of Munich School: TUM School of Computation, Information and Technology Department: Informatics 9 Academic Rank: Researcher Her research spans multi-modal learning, audio-visual foundation models, and cross-modal attention mechanisms. Key themes include: Advancing zero-shot learning through language-guided audio-visual models Developing explainable AI systems via attention pattern translation in VQA Exploring temporal understanding in video-adverb retrieval Building robust multi-modal representations for self-driving applications Recent publications analyze foundation model capabilities in audio-visual tasks (ICCV 2025), temporal reasoning (ACMMM 2024), and cross-modal attention frameworks (ECCV 2022). She co-organizes CVPR workshops on foundation model evaluations and serves as area chair/reviewer for major conferences.

• Mental Health
• Primary Care
• Depression
• +۷ مورد دیگر

Professor Irwin Nazareth serves as Professor of Primary Care and Population Science at University College London's Department of Primary Care & Population Health. He previously held leadership roles including Head of Department (2006-2015) and Director of the MRC General Practice Research Framework (2005-2012), and currently directs the PRIMENT Clinical Trials Unit. His work bridges clinical practice, research, and education in primary care settings. His research spans mental health in primary care , with specific focus on depression, anxiety, psychosis, addiction disorders, and unexplained medical symptoms. Methodologically, he specializes in designing complex intervention trials and analyzing big data from clinical databases. His work extends internationally across Europe, South America, Africa, and South Asia, with significant projects in India. Nazareth's recent publications reveal strong trends in functional neurological disorders (particularly Physio4FMD trials), epilepsy dietary interventions (KIWE trials), and digital health solutions for tobacco cessation. His work consistently combines clinical neurology, mental health, and innovative trial methodologies with practical primary care applications. As an educator, he supervises doctoral students in Primary Care and Mental Health, teaches clinical medicine to medical students, and provides continuing education for GPs. He also leads Commonwealth Fellowship programs training healthcare professionals from Africa, India, Southeast Asia, and the Caribbean. Secured major funding from MRC, Wellcome Trust, Cancer Research UK, European Commission, and NIHR Extensive international collaborations across multiple continents Focus on implementation of research findings into clinical practice Expertise in complex intervention trials and big data analysis

• Speech Recognition
• Speaker Verification
• Language Identification
• +۷ مورد دیگر

Professor Jan Černocký serves as Head of Department at the Department of Computer Graphics and Multimedia (DCGM) within the Faculty of Information Technology at Brno University of Technology (FIT VUT). With a professional email cernocky@fit.vut.cz and office L221.2, he maintains an active research profile with numerous publications spanning over 20 years in the field of speech processing and recognition. His work is well-documented through multiple research identifiers including ORCID iD 0000-0002-8800-0210, Scopus Author ID 6604040821, and Researcher ID M-7494-2019. Professor Černocký's research interests focus primarily on advanced speech processing technologies, with particular emphasis on speech recognition, speaker verification, language identification, and multimodal systems. His work demonstrates a strong trajectory from traditional speech processing techniques toward modern deep learning approaches, especially in self-supervised learning for speech applications. Recent publications show his leadership in developing benchmarks like TS-SUPERB for target speech processing and innovative methods for speaker verification using transformer models. His research group at BUT has made significant contributions to multi-channel speech processing, target speech extraction, and speaker diarization systems. The analysis of Professor Černocký's recent publications (2023-2025) reveals several key trends in his research direction. There's a clear shift toward self-supervised learning approaches for speech processing, with numerous papers exploring how pre-trained models can be adapted for speaker verification, target speech extraction, and multi-channel processing. His work increasingly incorporates transformer architectures and attention mechanisms, reflecting the broader trends in speech processing research. The 2024 publications particularly highlight work on multimodal analysis (BESST dataset for stress detection) and practical applications of speech technology for social inclusion. Throughout his career, Professor Černocký has maintained strong collaborative relationships with researchers across Europe and internationally, evidenced by his extensive publication record with co-authors from multiple institutions. His leadership role as Head of Department at DCGM places him at the center of speech processing research at Brno University of Technology, where his team continues to produce cutting-edge research in speech technology.

Sathyanarayanan N. Aakurمشاهده پروفایل

استادیار

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +۱۱ مورد دیگر

Sathyanarayanan N. Aakur is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering. Previously, he was an Assistant Professor in the Department of Computer Science at Oklahoma State University. He is an IEEE Senior Member and has received the prestigious NSF CAREER award for his research on multi-modal event understanding. Dr. Aakur received his PhD from the University of South Florida, where he worked with Dr. Sudeep Sarkar in the Computer Vision and Pattern Recognition Group. He also holds a Master's degree in Management Information Systems from the Muma College of Business at the University of South Florida and an undergraduate degree in Electronics and Communication Engineering from Velammal Engineering College, Anna University, India. His research focuses on the intersection of computer vision, natural language processing, and psychology, with the goal of building intelligent agents that understand the visual world beyond simple recognition or captioning. His work encompasses self-supervised predictive learning for video event segmentation, commonsense reasoning to ground perception and prior knowledge, and generative modeling for building knowledge systems. Much of his group's current work focuses on analyzing, modeling, and synthesizing complex video scenes, with applications in agriculture and animal diagnostics. His recent publications demonstrate a strong focus on open-world visual understanding, neurosymbolic reasoning, and multimodal learning. His work spans from fundamental computer vision problems like egocentric action recognition and scene graph generation to applied research in agricultural technology and biomedical informatics. He has successfully published at top-tier conferences including CVPR, ICCV, ECCV, and WACV, as well as in high-impact journals like IEEE TPAMI. NSF CAREER Award (2022) IEEE Senior Member (2024) Dr. Aakur serves as Area Chair for major conferences including CVPR, WACV, ICML, and NeurIPS, and as Associate Editor for Pattern Recognition journal. He has successfully mentored numerous students who have published at top venues in computer vision and machine learning. His research group has received funding from sources including the NSF and USDA for projects related to multimodal time series classification and stress detection in precision agriculture. The lab maintains active collaborations with institutions including the University of South Florida and Florida State University.

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.

Andrea Di Falcoمشاهده پروفایل

استاد

• Nano-photonics
• Metamaterials
• Plasmonics
• +۶ مورد دیگر

Andrea Di Falco serves as Professor and Director of Impact at the School of Physics and Astronomy, University of St Andrews. He leads the Centre for Biophotonics and maintains an active research group focused on cutting-edge photonics research. His institutional affiliations include editorial work for Photonics and Nanostructures: Fundamentals and Applications journal since 2013. University of St Andrews - School of Physics and Astronomy (Current) Centre for Biophotonics (Current) Photonics and Nanostructures: Fundamentals and Applications (Editor since 2013) Professor Di Falco's research spans multiple photonics domains with particular expertise in nano-photonics, metamaterials, plasmonics, and biophotonics. His work bridges fundamental optical physics with practical applications, especially in metasurface technology and flexible photonics. The research demonstrates strong interdisciplinary connections between physics, materials science, and biomedical applications, contributing to multiple UN Sustainable Development Goals. His recent publication portfolio shows a clear trend toward increasingly sophisticated metasurface applications, with growing integration of machine learning techniques for photonic design. The research spans fundamental optical physics, novel material development, and practical biomedical applications, demonstrating remarkable breadth while maintaining technical depth in photonics. EPSRC Fellowship (2010) for flexible metamaterials and plasmonics research ERC Consolidator Grant (2019) for biophotonic applications of optically trapped photonic membranes Professor Di Falco actively supervises postgraduate research students and has led numerous significant research projects, including the current Holographic Integrated Photonic Platform project (2024-2025). His research program has secured substantial funding from EPSRC, European Research Council, and Medical Research Council, demonstrating strong recognition of his work's significance and potential impact. His group maintains the SynthOpt research website as a hub for their collaborative work. The SynthOpt research group operates within the School of Physics and Astronomy at St Andrews, maintaining strong connections with both theoretical and experimental photonics researchers. The team focuses on developing novel photonic structures with applications ranging from fundamental optics to biomedical sensing and human-computer interaction technologies.

• 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.

Ryozo Nagamuneمشاهده پروفایل

استاد

• Control Engineering
• Control of floating offshore wind turbines and wind farms
• Control of integrated solar thermal systems
• +۶ مورد دیگر

Ryozo Nagamune is a Professor in the Department of Mechanical Engineering within the Faculty of Applied Science at the University of British Columbia (UBC). His research focuses on control engineering with specific expertise in floating offshore wind turbines, integrated solar thermal systems, and metal additive manufacturing processes. He maintains active collaborations with NSERC, MITACS, and industry partners including Ascent Systems Technologies. Dr. Nagamune received his B.Sc. and M.Sc. degrees from Osaka University, followed by a Ph.D. from the Royal Institute of Technology in Stockholm, Sweden. His educational background laid the foundation for his expertise in control systems theory and applications. His primary research interests center on control engineering, with particular emphasis on the control of floating offshore wind turbines and wind farms, integrated solar thermal systems, directed energy deposition metal additive manufacturing processes, engine aftertreatment systems, and data-driven modeling and control of dynamical systems. His work addresses critical challenges in renewable energy, manufacturing, and automotive applications, focusing on optimization, robustness, and efficiency improvements. The research spans theoretical developments in control algorithms to practical implementation in real-world systems. Analysis of Dr. Nagamune's recent publications reveals a strong focus on floating offshore wind turbine control, which constitutes approximately 40% of his recent work. Another significant portion (30%) addresses automotive control systems, particularly selective catalytic reduction for emissions control. The remaining publications cover diverse applications including haptic interfaces, spacecraft control, and precision manufacturing systems. His research demonstrates a consistent pattern of applying advanced control methodologies to solve practical engineering problems across multiple domains. Dr. Nagamune leads the Control Engineering Laboratory at UBC (located in KAIS 3104) and actively seeks collaborations with industry partners, research clusters, and interdisciplinary teams. His research is supported by major funding agencies including NSERC and MITACS, as well as industry partnerships. He is available for supervision of graduate students and expresses interest in working with undergraduate students on research projects. Dr. Nagamune welcomes interdisciplinary research opportunities and is particularly interested in collaborations that bridge multiple engineering domains.

Shabnam Sadeghi Esfahlaniمشاهده پروفایل

دانشیار

• Robotics
• Mechatronics
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Shabnam Sadeghi Esfahlani is an Associate Professor in Robotics at the School of Engineering and the Built Environment, Anglia Ruskin University , where she serves as Deputy Leader of the BORI research group and leads the Automation & Robotics MSc program. Her interdisciplinary expertise spans mechatronics, artificial intelligence, virtual reality, and serious games , with a focus on applications for rehabilitation, medical training, and autonomous systems . As a Chartered Engineer and Senior Fellow of the Higher Education Academy , she has secured significant funding from Innovate UK, Horizon 2020, and GCRF , with grants exceeding £3 million. Education PhD in Mechanical Engineering, Anglia Ruskin University BSc (First Class) in Statistics & Mathematical Science, Shahid Beheshty University Her research integrates AI with robotics for societal impact, exemplified by the open-source SROBO ground robot and projects like Rehabgame and the Assistive Feeding Robot . She has published over 45 peer-reviewed articles and contributes to academic communities as a journal guest editor and conference organizer . Key collaborations include IET, IMechE, and the Nuffield Foundation as a mentor for young students. Scientific Awards & Recognitions: Chartered Engineer (CEng), Engineering Council UK Senior Fellow (SFHEA), Higher Education Academy Student-Voted 'Made a Difference Award' (2018) Post-Graduate Certificate in Higher Education

Philipp Koehnمشاهده پروفایل

استاد

• Machine Translation
• Natural Language Processing
• Artificial Intelligence
• +۲ مورد دیگر

Philipp Koehn is a Professor in the Department of Computer Science at Johns Hopkins University, with additional affiliation at the University of Edinburgh. His primary research focuses on statistical and neural machine translation, specifically developing methods to leverage large-scale digital information for cross-lingual communication. He leads the Machine Translation Research Group and maintains key resources like the Moses toolkit and Europarl corpus. His research interests span: Core machine translation techniques (statistical/neural approaches) Low-resource and unsupervised translation methods Cross-lingual representation learning Speech-to-speech translation systems Large-scale parallel data mining and alignment Evaluation methodologies for generated text Koehn's recent publications demonstrate strong focus on improving translation efficiency (dynamic compression, streaming models), robustness (noise handling, error correction), and accessibility (low-resource languages, radio speech processing). Key trends include multilingual generalization, document-level coherence, and human-centered evaluation. Significant scientific recognition includes: ACL Fellow (2024) IAMT Award of Honor (2015) European Inventor Award Finalist (2013) He currently advises PhD students Rachel Wicks, Elina Baral, Bismarck Odoom, and Weiting Tan. His Machine Translation Group develops widely-used open-source tools and organizes major conferences including WMT and MT Marathon.

• Machine Learning
• Quantum Computing
• Medical Data Analysis
• +۷ مورد دیگر

Luka Radic is a Researcher in the Machine Learning Section at the Department of Computer Science, University of Copenhagen. His work bridges theoretical and applied research in machine learning, with a focus on quantum machine learning , large language models , and fairness in AI systems.

Claudia Bernhard-Oettelمشاهده پروفایل

استاد

• Work and Organizational Psychology
• Temporary and Part-Time Employment
• Self-Employment and Gig Economy
• +۷ مورد دیگر

Claudia Bernhard-Oettel is a Professor and Deputy Head of Department at the Department of Psychology, Stockholm University , with a focus on work and organizational psychology . Her career spans roles at institutions like the Swedish Institute for Working Life, Södertörn University College, and Karolinska Institutet, where she coordinated interdisciplinary initiatives in the Stockholm Stress Center. She serves on editorial boards and grant review committees, including the Research Council for Health, Working Life and Welfare (FORTE) and the Academy of Finland. Education: Diplom in Psychology (equivalent to Master's) from TU Dresden (2001); PhD in Psychology from Stockholm University (2008). Her research examines changing labor markets , emphasizing temporary employment , self-employment , and gig work . Key areas include organizational justice , effort-reward imbalance , and career sustainability . She investigates how job insecurity and psychological contracts affect health, well-being, and career transitions. Recent articles highlight trends in temporary agency work narratives , illegitimate tasks , and self-employment health trajectories . Her workgroup-level analyses of leadership and task design offer practical insights into mitigating stress and turnover in the public sector. Scientific Contributions: Editorial leadership in the Scandinavian Journal of Work and Organizational Psychology (2019–2024). Coordination of the Stockholm Stress Center Graduate School (2017–2018). Membership in grant review committees for FORTE and the Academy of Finland. Advising: Supervised doctoral students in alternative employment forms , organizational justice , and workplace lock-in . Current supervisees include Louise Bergman (2025 defense) and Clara Plückelmann.

• Digital Education
• Critical Pedagogy
• Postcolonial Theory
• +۴ مورد دیگر

Murat Oztok serves as Senior Lecturer at the University of Aberdeen's School of Education, actively supervising PhD candidates across Education, Sociology, Psychology, Philosophy, and Computing Science. His work fundamentally challenges the assumption that digital learning spaces are inherently equitable, positioning online education as an extension of colonial practices where societal Discourses reproduce systemic inequalities through hidden curricula. Oztok's research program centers on decolonizing digital education through critical analysis of the interplay between self, knowledge, digital tools, and power structures. Key projects include his 2019 monograph The Hidden Curriculum of Online Learning which applies Foucault's power theory alongside postcolonial critiques of whiteness, and current investigations into cognitive apprenticeship models for equitable online doctoral provision. His scholarship consistently prioritizes intersectionality, epistemic justice, and transformative pedagogical approaches that confront historical power imbalances in digital learning environments. Analysis of his 2019-2025 publications reveals a clear trajectory from foundational work on social presence in MOOCs toward sophisticated postcolonial frameworks for networked learning. Oztok increasingly centers Global South perspectives and Indigenous knowledge systems, arguing technological solutions must address colonial legacies to achieve educational justice. His interdisciplinary methodology bridges educational theory, sociology, and digital humanities to develop practical strategies for inclusive digital pedagogy. As an active PhD supervisor across five disciplines, Oztok demonstrates strong commitment to mentoring next-generation scholars in decolonial digital pedagogies, though specific grant-funded projects remain undocumented in available materials. His work remains pivotal in reimagining online education as a site for transformative social change rather than reproduction of inequality.

A. Lynn Abbottمشاهده پروفایل

استاد

• Computer vision
• Pattern recognition
• Artificial intelligence
• +۵ مورد دیگر

A. Lynn Abbott is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech , specializing in computer vision, biometrics, and AI-driven sensing systems. His work bridges theoretical and applied domains, including autonomous vehicle perception, physiological signal analysis, and secure healthcare monitoring. Education: Ph.D., University of Illinois, 1990 M.S., Stanford University, 1981 B.S., Rutgers University, 1980 Research Interests focus on computer vision for autonomous systems, biometrics using physiological signals, and deep learning applications in transportation safety and healthcare. Recent projects include neural networks for intersection safety modeling and vision-based cardiovascular signal recovery. Publications highlight advancements in graph neural networks for traffic analysis, spatiotemporal filtering for 3D object detection, and privacy-preserving biometric authentication. His work spans disciplines like transportation safety, biomedical signal processing, and computer architecture. Labs & Teams: Affiliated with the Center for Embedded Systems for Critical Applications , contributing to real-time vision systems and hardware-software co-design for safety-critical domains.