جست‌وجوی استاد و پژوهشگر

Ling Dingمشاهده پروفایل

دانشیار

• Biochemistry
• Chemistry
• Molecular Biology
• +۷ مورد دیگر

Ling Ding is an Associate Professor at the Department of Biotechnology and Biomedicine, Technical University of Denmark, and a key member of the DTU Microbes Initiative and Center for Microbial Secondary Metabolites. Their research focuses on microbial ecology, secondary metabolite biosynthesis, and antifungal compound discovery. Recent work involves genome mining in Streptomyces species, NMR spectroscopy, and studying microbial interactions such as actinobacterial and Pseudomonas fluorescens systems. Projects explore bioactive phosphorus-containing molecules, in situ detection of metabolites, and data-driven biosynthesis mechanisms. Their research contributes to UN Sustainable Development Goals (SDGs) related to health and environmental sustainability, with publications spanning microbial chemistry, drug discovery, and synthetic biology. Supervised PhD projects include omics-driven antifungal metabolite discovery and microbial interaction studies. Key publication trends include Streptomyces-derived bioactive compounds (e.g., lydicamycins, alligamycin), azoxy/polyketide metabolites, and computational approaches for fungal interaction classification. Methodologies emphasize NMR, genome mining, and deep learning models. Advising: PhD students: M. Haahr, A. Kostoglou, D. J. Otto, A. Svetlova, A. Kaltenyte Projects: Active roles in omics-driven antifungal metabolite discovery, phosphorus-containing molecule mining, and secondary metabolite biosynthesis mechanisms.

Engin Erzinمشاهده پروفایل

استاد

• Artificial Intelligence
• Multimedia Systems
• Computer Vision
• +۶ مورد دیگر

Engin Erzin is a Professor at Koç University's College of Engineering, leading the KUIS AI Lab and Multimedia, Vision and Graphics Lab . His research focuses on AI-driven human-centric systems, affective computing, and multimodal interaction analysis. He has contributed extensively to robotics, speech processing, and human-robot interaction through over 70 peer-reviewed publications since 2008. Research interests include: Affective computing and emotion recognition from speech/gestures Human-robot interaction and socially engaging agents Speech-driven animation and gesture synthesis Multimodal data fusion for interaction analysis Deep learning applications in robotics and biomedical engineering Recent work emphasizes: Developing adaptive pHRI controllers for manufacturing tasks Creating engagement measurement frameworks for human-machine interfaces Advancing Turkish speech recognition through self-supervised learning Designing multimodal databases for interaction studies Labs: KUIS AI Lab : Focuses on AI applications in robotics and human-computer interaction Multimedia Lab : Specializes in vision, graphics, and audiovisual analysis

Melvyn Weeksمشاهده پروفایل

مدرس ارشد

• Microeconometrics
• Causal Inference
• Machine Learning
• +۳ مورد دیگر

Dr Melvyn Weeks serves as a University Senior Lecturer, Director of Teaching, and Director of Undergraduate Studies at the Faculty of Economics, University of Cambridge. His academic leadership spans curriculum development and student supervision within one of the world's leading economics departments. Specializing in Microeconometrics , Causal Inference , and Machine Learning , Weeks' research bridges advanced statistical methodology with real-world economic applications. His work prominently features in energy economics (analyzing consumer behavior in prepayment energy systems), development economics (examining microcredit impacts and religious institution effects in India), and economic growth theory (addressing model uncertainty in convergence clubs). Publication trends reveal a consistent integration of machine learning techniques with traditional econometric frameworks, particularly in causal tree estimation for heterogeneous treatment effects and robust model averaging approaches. His recent work demonstrates growing emphasis on machine learning applications in economics , causal inference methodologies , and distributional analysis across diverse economic contexts. As a doctoral supervisor, Weeks mentors PhD candidates including Christian Tien (focusing on causal inference and machine learning applications) and Cheuk Fai Ng (specializing in cluster-robust inference for high-dimensional regression). His teaching portfolio spans foundational statistical inference through advanced topics including machine learning in economics, causal inference, and research computing. Based at Clare College with office in Room 60, Weeks maintains active research collaboration through the Faculty of Economics' Econometrics Research Group, contributing to Cambridge's reputation in quantitative economic analysis.

Julia Schnabelمشاهده پروفایل

استاد

• Medical Image Processing
• Machine Learning
• Image Reconstruction
• +۴ مورد دیگر

Prof. Dr. Julia Schnabel is the TUM Liesel Beckmann Distinguished Professor and Helmholtz Distinguished Professor at TUM's TUM School of Computation, Information and Technology. Her research focuses on computational imaging and AI in medicine, including medical image processing, machine learning, motion modeling, and quantitative imaging. She holds IEEE, Ellis, and MICCAI Society fellowships, and has pioneered work in image reconstruction, artifact correction, and AI-based diagnostics. Educations: Bachelor/Master from TU Berlin (1993) PhD from University College London (1998) Postdocs at UMC Utrecht, King's College London, and UCL Her research interests span medical AI, deep learning for medical imaging, and clinical evaluation methodologies. Key contributions include frameworks for motion artifact correction in MRI, physics-informed neural networks, and benchmark datasets like NOVA for anomaly detection in brain MRI. She has authored over 100 publications, with recent work advancing unsupervised anomaly detection and federated learning in healthcare. Prof. Schnabel leads interdisciplinary projects at TUM and Helmholtz Zentrum München, focusing on AI-driven solutions for diagnostic and therapeutic challenges. Her labs develop tools for real-time cardiac imaging, histopathology segmentation, and trustworthy AI guidelines (FUTURE-AI initiative).

Jean-Luc Dugelayمشاهده پروفایل

استاد

• Biometrics
• Image Forensics
• Video Surveillance
• +۷ مورد دیگر

Professor Jean-Luc Dugelay is a faculty member at EURECOM's Digital Security Department, specializing in facial image processing, image forensics, and biometrics. He holds a PhD in Image Processing from the University of Rennes (1992) and is a Fellow of IEEE (2012) and IAPR (2018). His research focuses on security applications like deepfake detection, privacy protection, and multi-spectral imaging. He leads projects on UAV surveillance, cross-spectrum face recognition, and deepfake countermeasures. Education: PhD in Image Processing (1992, University of Rennes), HDR (2013, University of Nice). Notable projects include HEIMDALL (deepfake detection), CONVERGE (transport security), and ImVerif (image forensics). His work on biometric systems and digital watermarking has been recognized with awards like the SEE Blondel Medal (2010). Research interests span facial analysis, video surveillance, and thermal imaging. He has advised students on topics like age estimation via GANs and cross-spectrum face recognition. Key publications include work on deepfake detection (IPAS 2025), thermal-to-visible face conversion, and event-based vision systems.

Slim Essidمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Signal Processing
• +۷ مورد دیگر

Slim Essid is a Full Professor at Télécom Paris, leading the Audio Data Analysis and Signal Processing (ADASP) group. He holds a Doctorat (Ph.D.) and Habilitation from Université Pierre et Marie Curie (UPMC). With 15+ years of research experience, he has advised 15 PhD graduates and currently co-advises 10 others. His work focuses on machine learning, signal processing, and multimodal systems, publishing over 150 peer-reviewed papers. He serves as a reviewer for top journals/conferences (e.g., IEEE Transactions) and research funding agencies. Education: State Engineering Degree, École Nationale d’Ingénieurs de Tunis (2001) M.Sc. (D.E.A.) in Digital Communication Systems, École Nationale Supérieure des Télécommunications, Paris (2002) Ph.D., Université Pierre et Marie Curie (2005) Habilitation (HDR), UPMC (2015) Research Interests: Multimodal learning, self-supervised representations, audio-visual segmentation, music structure analysis, domain generalization, and speech enhancement. Recent publications highlight innovations like TACO (training-free sound-prompted segmentation) and CLOUDS (domain-generalized semantic segmentation framework using foundation models). His work bridges audio processing with vision and language models, emphasizing unsupervised/zero-shot approaches. Key achievements include state-of-the-art methods in sound event detection, speaker diarization, and music segmentation. He collaborates with 14 post-docs and leads projects funded by French/EU agencies.

Timo Fleischerمشاهده پروفایل

دانشیار

• Chemistry Education
• Science Education
• Digital Media in Education
• +۹ مورد دیگر

Timo Fleischer is an Associate Professor in the Chemistry Didactics Working Group at the University of Salzburg, affiliated with both the Faculty of Natural and Life Sciences and the School of Education. He leads key educational innovation projects including EXBOX-Digital, ChemGerLab-VR, and RECC Salzburg, and plays a significant role in digital science education development. Education: Bachelor of Science in Geography and Chemistry, University of Kiel (2011) Master of Education in Geography and Chemistry, University of Kiel (2013) PhD in Science Education, TUM School of Education (2017) Habilitation in Chemistry Didactics, University of Salzburg (2024) His research focuses on the effectiveness of digital media in teacher education and chemistry classrooms, the development of digital teaching and learning materials, and the integration of experimentation and modeling in science education. He is particularly interested in how digital tools support the learning of chemical language and representations. His work bridges educational theory and practical classroom innovation. His recent publications demonstrate a strong emphasis on digital scaffolding, augmented and virtual reality in chemistry labs, eye-tracking during experiments, and the use of fiction as an anchor in science teaching. These works reflect a trend toward immersive, technology-enhanced, and student-centered learning environments in science education. Scientific Awards: Ehrenurkunde Polytechnik-Preis 2022 – Projekt EXBOX-Digital Kulturfondspreis 2020 für das Projekt MINT:labs Science City Itzling Comenius-EduMedia-Siegel für EXBOX-Digital (2020) Qualitätslabel „Regional Educational Competence Centre“ (RECC) (2018–2021) Junior-Fellowship, Kolleg Didaktik:digital (2016–2017) Timo Fleischer has supervised various research projects and collaborated with numerous colleagues and students, though specific advisees are not listed. He has secured recognition and funding for initiatives such as EXBOX-Digital and MINT:labs, indicating successful grant acquisition. He is actively involved in teacher training, curriculum development, and science communication. He leads several innovative labs and teams, including ChemGerLab-VR (a virtual reality chemistry lab), EdTechAll, and the development of MINT:labs Science City Itzling. These initiatives focus on creating digital, hands-on, and inclusive science learning environments for both students and teachers.

James R. Greenمشاهده پروفایل

استاد

• Machine Learning
• Biomedical Informatics
• Computational Biology
• +۹ مورد دیگر

James R. Green is a Professor in the Department of Systems and Computer Engineering at Carleton University , where he has been a faculty member since 2005. He holds a PhD from Queen's University and is a licensed Professional Engineer (P.Eng.) and Senior Member of IEEE. His work integrates machine learning, biomedical informatics, and high-performance computing. His educational background includes: B.A.Sc. in Systems Design Engineering, University of Waterloo (1998) M.Sc.(Eng.), Queen's University (2000) PhD, Queen's University (2005) Dr. Green's research focuses on machine learning challenges in biomedical informatics , particularly class imbalance and rare event prediction. Key areas include protein structure, function, and interaction prediction; microRNA detection in unique species; non-contact neonatal monitoring; and accelerating scientific computing via parallel architectures like the Cell BE processor. His lab has developed several widely used bioinformatics tools such as PIPE, ProtDCal, and PCI-SUMO. His recent publications reflect a strong trend in computational biology and machine learning , with applications in proteomics, genomics, and medical diagnostics. He has published over 100 peer-reviewed papers and secured funding from NSERC, CIHR, CFI, ORF, OCE, MITACS, and IBM. Scientific and teaching recognitions include: Three teaching awards NSERC Best Project Award (twice: 2006-2007 and 2007-2008) Multiple student projects resulting in conference papers (e.g., CMBEC) He has supervised numerous undergraduate capstone projects in areas such as assistive technologies, robotic systems, and bioinformatics. His teaching portfolio includes courses in Pattern Classification, Machine Learning, Computer Architecture, and Biomedical Engineering. He leads an active research group that bridges computer engineering and life sciences, fostering interdisciplinary collaboration. Lab and research team initiatives include: Development of open-access web servers for protein analysis Collaborations with biologists and clinicians Integration of hardware and software for medical applications

Ismini Vasileiouمشاهده پروفایل

دانشیار

• Cybersecurity Policy
• Cybersecurity Governance
• Cyber Resilience
• +۱۲ مورد دیگر

Dr Ismini Vasileiou is an Associate Professor at De Montfort University within the School of Computer Science and Informatics, Faculty of Computing, Engineering and Media. She serves as Director of the East Midlands Cyber Security Cluster, leading regional and national cybersecurity initiatives. Her work bridges academia, industry, and government, focusing on cyber resilience, policy, education, and inclusion. Her research interests include: Cybersecurity Policy and Governance Human Factors and Social Engineering Cyber Resilience and Risk Management Cybersecurity Education and Pedagogy Diversity, Equity, and Inclusion in Cybersecurity AI and Cybersecurity Secure by Design Principles Her recent publications reflect a strong interdisciplinary focus on cybersecurity education, human behavior, digital transformation, and workforce development. Trends show a consistent emphasis on experiential learning, threshold concepts, and addressing the cyber skills gap through degree apprenticeships and inclusive practices. She has received several honors, including: Cyber Security Diversity Academic Champion, EMIC Network (2024) Winner, Students as Partners Cup (2014) Runner-up, WISE Advisor Award (2014, 2012) Most Dedicated Project Supervisor SSTAR Award, University of Plymouth (2012) Dr Vasileiou supervises multiple PhD students and has secured substantial external funding, including £5.8 million from the Office for Students and £100,000 from DSIT. She has led bids for major initiatives like the Leicester and Leicestershire Institute of Technology. She actively mentors students in areas such as cyber behavior, learning analytics, and agile medical device development. She is involved in key labs and networks, notably the East Midlands Cyber Security Cluster, and contributes to national frameworks through advisory roles with NCFE, QAA, IfATE, and the Institute of Apprenticeships. Her leadership extends to professional societies including BCS, IFIP, and UCISA.

• Creative Writing
• Poetry
• Fiction
• +۸ مورد دیگر

Paul Perry is Professor of Creative Writing at University College Dublin, School of English, Drama and Film, where he directs the Creative Writing Programme and teaches across undergraduate, MA, MFA, and PhD levels. He is a practicing poet, novelist, screenwriter, and literary critic, with a significant body of published work in poetry and fiction. BA, Brown University MFA, University of Miami PhD, University of Ulster Prof Cert & Cert of CPD in University Teaching & Learning, University College Dublin Paul Perry's research is practice-led, focusing on Creative Writing, Poetry, Fiction, Creative Non-Fiction, Contemporary Literature, American Poetry, Screenwriting, Genre, and Poetics . He is deeply invested in the pedagogy of Creative Writing, exploring student-centered methods, radical empathy exercises, and innovative workshop models. His teaching emphasizes process over product and fosters a community of practice. His recent publications span poetry, novels, and critical writing, reflecting a sustained engagement with literary form and emotional depth. Themes include identity, memory, trauma, post-conflict Ireland, and the interplay between personal and political. His editorial work, such as Beyond the Workshop , contributes to scholarly discourse on creative writing education. Paul Perry has received numerous accolades, including: Hennessy Prize for Irish Literature Listowel Prize for Poetry Patrick and Katherine Kavanagh Fellowship University Award for Teaching Excellence Shortlisted for the Farmgate National Poetry Book Award (2023) He supervises PhD students, leads creative writing modules, and is actively involved in research grants and editorial projects like the Belfield Literary Review . He is a member of the Royal Irish Academy’s Study of Languages, Literature, Culture and Communication Committee and contributes to public literary culture through podcasts, readings, and community collaborations such as the Poetry Jukebox.

• Artificial Intelligence
• Robotics
• Data Science
• +۴ مورد دیگر

Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).

• Sports Science
• Exercise Physiology
• Nutritional Science in Athletics
• +۱۴ مورد دیگر

Dr. Ciarán Ó Catháin is a Lecturer in the Department of Sport and Health Science within the Faculty of Science and Health. He is actively engaged in research at the intersection of sports science, exercise physiology, and nutritional health, with a strong emphasis on athlete performance and well-being. His research interests include: Sports Science and Exercise Physiology Nutritional Science in Athletics Female Athlete Health, particularly menstrual cycle and hormonal contraceptive tracking Dietary intake and culinary nutrition among athletes Resisted sprint training and performance monitoring Systematic reviews and meta-analyses in sports interventions Application of machine learning and wearable technology in sports Dr. Ó Catháin’s recent publications demonstrate a trend toward evidence synthesis (systematic reviews and meta-analyses), interdisciplinary methodologies, and a growing focus on gender-specific considerations in sports performance. His work integrates engineering concepts such as gait analysis and phase velocity with health sciences, reflecting a cross-disciplinary approach. He also explores emerging technologies like augmented reality and synthetic data generation for performance prediction. While no formal scientific awards are listed, his research has contributed to high-impact journals including Sports Medicine , Frontiers in Sports and Active Living , and Nutrition Bulletin . His h-index of 10 and 254 citations reflect a solid and growing academic influence. There is no available information regarding student supervision, grant funding, laboratory affiliations, or collaborative teams. However, his frequent co-authorship suggests active research collaboration, particularly with researchers in sports physiology and nutrition.

Atle Ødegårdمشاهده پروفایل

استاد

• Interprofessional Collaboration
• Social Innovation
• Service Design
• +۷ مورد دیگر

Atle Ødegård is a Professor at Molde University College, Faculty of Health Sciences and Social Care. He is actively engaged in research and academic leadership with a strong focus on interprofessional collaboration and social innovation in health and welfare services. Position: Professor Institution: Molde University College Faculty: Faculty of Health Sciences and Social Care Email: atle.odegard@himolde.no Office: B333, Molde His research interests center on interprofessional collaboration, service design, social innovation, and the integration of health and social care services. He explores how professionals from different disciplines can work together effectively, particularly in contexts involving vulnerable populations such as individuals with developmental disabilities, those in the criminal justice system, and elderly care residents. His work also emphasizes co-creation and user participation in public service development. The recent publications of Atle Ødegård reflect a consistent focus on interprofessional education and collaboration across health, social care, and criminal justice. His work spans qualitative studies, systematic reviews, and conceptual frameworks, often contributing to policy and practice. He frequently collaborates with researchers like Anna Elisabeth Willumsen, Bjørn Kjetil Larsen, and Ingrid Krohn Aasgård, and has co-edited key books in his field. Atle Ødegård has not received any explicitly mentioned scientific awards in the provided text. He is involved in advising and research leadership, contributing to training programs and editorial work. He has co-edited multiple books and special issues, and his work often bridges academic research with public policy through opinion pieces and blog contributions. There is no explicit mention of external grants, but his extensive publication record suggests active research funding. He is part of research groups focused on interprofessional collaboration in practice and education and contributes to initiatives such as the Regional Knowledge Center for Rehabilitation (RHAB) and the FOGTPS blog, promoting knowledge development and co-creation in practice settings.

Laura Oakleyمشاهده پروفایل

دانشیار

• Maternal health
• Reproductive health
• Child health
• +۷ مورد دیگر

Dr. Laura Oakley is an Associate Professor and Co-Programme Director for the Distance Learning Epidemiology programme at the London School of Hygiene and Tropical Medicine (LSHTM), within the Department of Non-communicable Disease Epidemiology in the Faculty of Epidemiology and Population Health. She also holds an affiliated researcher position at the Centre for Fertility and Health (CeFH) at the Norwegian Institute of Public Health in Oslo, Norway, facilitating international collaborations on perinatal epidemiology using Scandinavian registry data. Dr. Oakley's educational background includes: Undergraduate degree in Sociology from the London School of Economics MSc in Epidemiology from LSHTM PhD from LSHTM focusing on determinants of infertility in women Prior research experience at the Centre for Research in Primary Community Care, University of Hertfordshire Research position at the National Perinatal Epidemiology Unit, University of Oxford (2009-2014) As an epidemiologist specializing in maternal, reproductive, and child health, Dr. Oakley's research spans the epidemiology of infertility, pregnancy complications, perinatal outcomes, effects of in-utero exposures, and infant feeding practices. Her work emphasizes health inequalities and socioeconomic determinants of breastfeeding across diverse global settings. Methodologically, she combines interventional and observational approaches, leveraging large-scale registry data from high-income countries while conducting research in low- and middle-income contexts. Her affiliation with CeFH provides access to exceptional Scandinavian registry linkages that support her perinatal epidemiology research. Dr. Oakley's publication record reveals a strong focus on the intersection of infectious disease (particularly COVID-19) with pregnancy outcomes, reflected in her leadership of the Nordforsk-funded SCOPE projects. She also maintains significant contributions to reproductive health through the British National Surveys of Sexual Attitudes and Lifestyles (Natsal), and leads epidemiological research on sickle cell disease in pregnancy. Her work on breastfeeding patterns across sub-Saharan Africa demonstrates her commitment to understanding long-term health and educational outcomes. Dr. Oakley serves as Co-Programme Director for the Epidemiology by Distance Learning programme at LSHTM, teaching multiple modules including Fundamentals of Epidemiology, Basic Epidemiology, Foundations of Reproductive Health, and Research, Design and Analysis. She provides academic guidance as a personal tutor for MSc Reproductive and Sexual Health Research and MSc Epidemiology students, while supervising research projects. Her grant portfolio includes the Research Council of Norway-funded program on assisted conception and cancer risk, the NIHR-funded TAPS2 feasibility trial on sickle cell disease in pregnancy, and the MRC-funded GUIDES trial on gestational diabetes in Uganda and India. Through her international collaborations with institutions across Norway, Sweden, Denmark, Canada, Uganda, and India, Dr. Oakley maintains a global research perspective that bridges academic epidemiology with practical applications for improving maternal and child health worldwide. Her work on the socioeconomic determinants of breastfeeding and pregnancy outcomes in women with sickle cell disease addresses critical health disparities in maternal care.

• Comparative Psychology
• Animal Cognition
• Developmental Psychology
• +۳ مورد دیگر

Dr. Emma Collier-Baker serves as an Honorary Research Fellow at The University of Queensland's School of Psychology, where her work bridges comparative psychology, animal cognition, and developmental science. Her research program investigates cognitive mechanisms across species, with particular emphasis on experimental comparisons between non-human primates (especially chimpanzees) and human children. Her core research interests include: Comparative analysis of inferential reasoning and metacognition Evolution of social learning and cultural transmission Development of self-recognition and theory of mind Moral cognition and its evolutionary foundations Cross-cultural variations in cognitive processes Experimental methodologies for studying animal cognition Analysis of her publication record reveals consistent focus on experimental paradigms examining exclusion reasoning, invisible displacement understanding, and social learning biases. Her recent work demonstrates significant expansion into cross-cultural moral psychology, evidenced by large-scale international collaborations involving 28 cultural groups. The methodological diversity across her career—from primate cognition studies to cross-national surveys—highlights her interdisciplinary approach to understanding cognitive evolution. No scientific awards were documented in the source material. While her collaborative publications indicate extensive research partnerships, specific details regarding student supervision, grant funding, or laboratory facilities were not provided. Her honorary fellowship status suggests research-focused engagement without primary teaching responsibilities.