جست‌وجوی استاد و پژوهشگر

Marcus Deiningerمشاهده پروفایل

استاد

• Software Engineering
• Programming Languages
• Business Process Modeling
• +۲ مورد دیگر

Prof. Dr. Marcus Deininger serves as Professor of Computer Science at Stuttgart University of Applied Sciences within the Faculty of Surveying, Computer Science and Mathematics since 2004, concurrently holding the position of Dean of Studies for Software Technology since 2007. His academic leadership spans multiple degree programs including Bachelor of Applied Mathematics and AI, Bachelor of Computer Science, and Master's in Software Technology. His educational foundation includes a Doctorate in Computer Science from the University of Stuttgart (1995), preceded by significant industry experience: development and project management roles at debis Systemhaus (1996-2001) and T-Systems (2001-2005) provided practical grounding in enterprise IT solutions before his academic transition. Deininger's research manifests primarily through pedagogical contributions in software engineering education, with concentrated expertise in Java programming ecosystems, BPMN-based business process modeling, and UML-driven system analysis. His scholarly identity centers on translating complex technical concepts into accessible educational frameworks, evidenced by his extensive publication record focused on student skill development. Analysis of his 12 publications (2009-2024) reveals consistent emphasis on practical computer science education, evolving from foundational programming guides toward specialized exam preparation materials across software engineering domains. This trajectory demonstrates sustained commitment to curriculum development rather than theoretical research. His professional recognition includes membership in the German Informatics Society (GI), reflecting peer acknowledgment within Germany's primary computing professional organization. As Dean of Studies and thesis supervision guide author, Deininger shapes academic journeys through structural program oversight and pedagogical frameworks. His collaborative works with Thomas Kessel across 10+ publications indicate sustained research partnerships, while leadership in three distinct degree programs underscores institutional impact beyond narrow technical specialization. Though specific research laboratories aren't documented, his collaborative publication pattern suggests integration within computer science education communities, with recent works (2024) confirming active engagement in evolving pedagogical approaches for contemporary programming challenges.

Eric Postmaمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Science
• Cognitive Science
• +۵ مورد دیگر

Eric Postma is a Professor of Artificial Intelligence at Tilburg University, affiliated with the Cognitive Science & AI department and the Jheronimus Academy of Data Science (a collaboration between Tilburg University and Eindhoven University of Technology). He has maintained continuous affiliation with Tilburg University since 2009. His academic journey includes a PhD in Neural Networks from Maastricht University (1994), where he served as Professor of Artificial Intelligence from 2003 until transitioning to Tilburg University. Professor Postma's research spans foundational and applied AI domains, with emphasis on Generative AI systems for visual object recognition , signal analysis , classification , and knowledge representation . His work bridges theoretical AI with practical data science applications across cognitive science frameworks. He has developed and instructed numerous Bachelor's and Master's courses in data science, AI, and cognitive science curricula, supervising extensive thesis work at all graduate levels including PhD dissertations focused on machine learning and AI systems. Currently leading the Deep Learning for Perception research group, his team explores cutting-edge neural network architectures for sensory data interpretation and representation learning.

Hillary K. Craneمشاهده پروفایل

دانشیار

• Cultural Anthropology
• Linguistics
• Medical Anthropology
• +۵ مورد دیگر

Hillary K. Crane serves as Associate Professor of Anthropology at Linfield University and holds dual coordination roles for the Linguistics and Asian Studies programs. Based in Walker Hall 218, she has been a faculty member since 2007 with research focusing on intersections of religion and medicine, gender dynamics among Taiwanese Buddhist nuns, and celiac disease experiences in the United States. Her research interests span cultural anthropology, medical anthropology, linguistics, anthropology of the body, and gender/sexuality studies with East Asian focus. Crane employs innovative student-faculty collaborative research models, particularly for her celiac disease project where she hires students annually for summer research. Her scholarly work reveals consistent engagement with Buddhist monastic communities in Taiwan, examining gender transformation, religious conversion pressures, and emotional regulation within spiritual contexts. Crane's publications demonstrate expertise in religious ethnography methodology, particularly regarding researcher objectivity in missionary-adjacent communities. Her co-edited volume Missionary Impositions addresses conversion challenges in fieldwork. The publication record shows strong continuity in Taiwanese Buddhist studies since her doctoral work, alongside emerging focus on chronic illness anthropology through celiac disease research. Her scientific contributions include numerous student-faculty collaborative research reports and peer-reviewed articles analyzing Buddhist monasticism, gender roles, and religious discourse. Crane's work appears across disciplines including Anthropology, Religious Studies, Women's Studies, and Medical Humanities, reflecting her interdisciplinary approach. As an educator, Crane teaches courses in cultural anthropology, linguistics, medical anthropology, and East Asian studies. She maintains active research mentorship through summer collaborative projects, particularly in celiac disease studies where she involves students in data collection and analysis. Her academic trajectory shows sustained commitment to both traditional anthropological fieldwork in Taiwan and contemporary health-focused research in the United States.

Samuel Wilsonمشاهده پروفایل

پژوهشگر

• Computer Vision
• Robotics
• Deep Learning
• +۳ مورد دیگر

Dr Samuel Wilson is a researcher at the QUT Centre for Robotics (QCR), holding a PhD in Computer Science (2024). His work focuses on uncertainty estimation in deep-learning-based visual perception for robotics, leveraging platform-specific characteristics like egocentric flow and embodiment. Supervised by Dr Feras Dayoub and Assoc Prof Niko Sünderhauf, he transitioned to PhD research after observing fragility in vision models during his Honours project (2019). Education: Bachelor’s in Computer Science, First Class Honours (2019) Research Interests: Enhancing robotic perception reliability through uncertainty quantification, with emphasis on real-world robustness and integration of robotics-specific sensor data. His methods emphasize practical deployment challenges in autonomous systems. Publications Trends: Recent work concentrates on out-of-distribution detection and feature-based approaches to improve model reliability in unstructured environments, reflecting a shift toward safety-critical robotics applications. Labs/Teams: Active contributor to QCR’s research programs in autonomous systems and computer vision.

Alice Corrمشاهده پروفایل

دانشیار

• Ibero-Romance Linguistics
• Theoretical Linguistics
• Historical Linguistics
• +۷ مورد دیگر

Alice Corr is an Associate Professor in Modern Languages at the University of Birmingham. She holds a PhD from the University of Cambridge (2017) and has held prestigious fellowships including Drapers’ Company Research Fellow at Pembroke College, Cambridge, and Lumley Bye-Fellow at Magdalene College, Cambridge. Her research focuses on comparative morphosyntax, dialectology, and historical linguistics of Ibero-Romance languages, with a particular emphasis on endangered and minoritized varieties like Judeo-Spanish. She leads the British Academy/Leverhulme-funded ‘Grammars under threat’ project documenting Judeo-Spanish syntax and coordinates the Transatlantic LISTEN! initiative promoting linguistics in K-12 curricula. Education: PhD (University of Cambridge, 2017), MPhil (University of Cambridge, 2012), BA (University of Cambridge, 2010). She has taught at Oxford, Queen Mary University of London, and multiple Cambridge colleges. Her work addresses language endangerment, diaspora linguistics, and policy-driven language education reforms. Awards include the PGCHE high achievement recognition (2020). Key projects include the Linguistics in MFL initiative (introducing linguistics into UK A-level curricula) and EUniWell-funded multilingualism projects. Her research outputs span 31 peer-reviewed articles/chapters since 2015, focusing on syntax, historical linguistics, and educational policy. Recent activities include keynote addresses at international conferences on Medieval Romance linguistics and policy forums addressing the UK’s languages crisis.

Fredrik Asplundمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Safety Engineering
• System Software Engineering
• +۵ مورد دیگر

Fredrik Asplund is an Associate Professor and Docent in Cyber-Physical Systems (CPS) at KTH Royal Institute of Technology, affiliated with the School of Industrial Engineering and Management (ITM) and the Digital Futures Faculty. His research focuses on system safety, software engineering practices in CPS development, innovation ecosystems, and engineering education. Prior to academia, he worked in the telecommunications industry as a software architect. He leads and contributes to projects such as GPARSE (Guaranteeing Pro-Active and Reactive Safety in intersections through resource management at the Edge). His work addresses safety challenges in autonomous vehicles, maritime systems, and industrial CPS applications, emphasizing sociotechnical constraints affecting engineers. Teaching responsibilities include courses on embedded systems, mechatronics, and research methodology. He has supervised numerous master’s degree projects in embedded control systems, machine design, and mechatronics. His research spans empirical studies of software tool integration, reference architectures, and cross-industry collaboration mechanisms. Recent work includes analyzing social capital in university-industry partnerships and developing frameworks for autonomic computing in CPS-of-Systems. Publications highlight topics like boundary object usage in CPS co-engineering, collision mitigation algorithms, and skill alignment for early-career engineers.

George Fullerمشاهده پروفایل

استاد

• Theoretical Nuclear Physics
• Elementary Particle Physics
• Astrophysics
• +۴ مورد دیگر

George Fuller is Distinguished Professor of Physics at UC San Diego and Director of the Center for Astrophysics and Space Sciences. He earned his Ph.D. from Caltech under William Fowler and has held positions at Chicago, UC Santa Cruz, and Lawrence Livermore National Laboratory. His research integrates: Neutrino physics in astrophysical environments Dark matter detection and theoretical models General relativistic effects in stellar collapse Big Bang nucleosynthesis and early universe physics Gravitational wave sources from cosmic events Recent publications focus on neutrino dynamics in supernovae, sterile neutrino dark matter, and QCD transitions in the early universe. His work frequently combines particle physics with cosmological phenomena using analytical and computational approaches. Awards: Hans A. Bethe Prize (APS 2013) Fellow of the American Physical Society He leads theoretical efforts in the Simons Observatory collaboration and supervises graduate students in nuclear and particle astrophysics. Current projects investigate dark matter interactions in massive stars and lepton number violations in core-collapse supernovae.

• Mathematics Education
• Digital Technology in Education
• Serious Games
• +۳ مورد دیگر

Jean-Pierre Rabatel is a School Professor and Master Trainer at the École Normale Supérieure de Lyon, affiliated with the French Institute of Education (IFE) and the EducTice Research Team. He holds a full-time position as a Chargé d'études (Research Officer), focusing on integrating digital tools into education. His career includes over 40 years in primary education and teacher training, alongside extensive research collaboration with institutions like IUFM, INRP, and Texas Instruments. Research interests center on serious games, tangible-digital learning systems, and pedagogical tool design. Key projects include Jen Lab (ANR-funded digital epistemic games), OCINAEE (robotics in education), and CaPriCo (calculator integration in schools). Rabatel contributes to the LéA CiMéLyon initiative, studying connected object systems in learning environments. Publications span innovations in geometry education, calculator use, and collaborative learning through robotics. He actively participates in national and international conferences, such as the COPIRELEM and Re(s)sources 2018, and leads initiatives like JenDo (academic incubator for student orientation).

Miao Guoمشاهده پروفایل

مدرس ارشد

• Bioprocess Optimization
• Waste-to-Resource Technologies
• Sustainable Biomanufacturing
• +۳ مورد دیگر

Miao Guo is a Senior Lecturer in the Department of Engineering at King's College London, with an honorary lectureship at Imperial College London's Department of Chemical Engineering. Her research focuses on interdisciplinary bioengineering solutions for sustainable resource recovery and waste-to-benefit technologies. She leads the Guo Group, advancing bioprocess optimization, microbial protein production, and circular economy frameworks. Key affiliations include King's Water Centre and the Grantham Institute. Her work integrates computational methods and experimental techniques to develop scalable bioprocesses, such as waste-to-protein innovations for food and feed applications. She actively collaborates with industry partners like Quorn Foods and academic experts globally. Dr. Guo's research spans process systems engineering, hybrid modeling, and life cycle sustainability assessments, addressing global challenges in food security and environmental stewardship. Recent publications emphasize computational tools for sustainability analysis, microbial biotechnology applications, and optimization frameworks for resource recovery from wastewater. She chairs the EPSRC Early Career Forum in Manufacturing Research and contributes to policy-oriented research on sustainable diets and industrial circularity. Laboratory and team activities include developing AI-driven process models, microbial protein production systems, and advanced oxidation technologies for environmental remediation. Her work bridges engineering, natural sciences, and computational methods to create impactful solutions for planetary boundaries.

• Computer Vision
• Vision and Language
• 3D Human Motion Synthesis
• +۵ مورد دیگر

Gül Varol is an Associate Professor (permanent researcher) in the IMAGINE group at École des Ponts ParisTech. She holds an ELLIS Scholar distinction and collaborates with MPI. Previously, she was a postdoc at the University of Oxford’s Visual Geometry Group (VGG). Her PhD from Inria Paris/ENS under Ivan Laptev and Cordelia Schmid earned her ELLIS and AFRIF awards. She earned BS/MS degrees from Boğaziçi University. Research Focus: Her work bridges computer vision and language, emphasizing video understanding, human motion synthesis, and sign language technologies. Notable contributions include the BOBSL dataset (BSL), SLRTP challenge, and methods for sign language translation/contextual retrieval. She also pioneers text-driven 3D motion editing (MotionFix) and video chaptering with LLMs (Chapter-Llama). Awards & Service: Received Google Research Scholar Award (2023), ECCV 2024 Program Chair, IJCV associate editor, and leadership in workshops like NeurIPS’20 Preregistration and CVPR’25 Sign Language. Organized over 15 conferences/workshops since 2017. Labs & Teams: Core member of IMAGINE (LIGM lab), collaborates with MPI and industry (Google/Adobe). Active in outreach initiatives like Women in CV and Girls Who Code.

• Journalism Studies
• Political Communication
• Social Theory
• +۵ مورد دیگر

Dr. Steven Harkins is a Lecturer in the Department of Journalism Studies at the University of Stirling. His research focuses on the intersections of journalism, political communication, and social theory, with a strong emphasis on media representations of poverty, inequality, and environmental issues. He has published widely on topics including media framing of austerity, climate change communication, and journalistic ethics. Harkins founded the Communication of Inequalities Research Network in 2023 to address media representation of inequality and collaborate with non-academic partners. Research Interests: Media representation of poverty, climate communication, political framing, journalism ethics, and environmental policy. Affiliations: University of Stirling, Higher Education Academy (Fellow). Key Projects: Communication of Inequalities Research Network, Digital Society and Culture Research Programme. His work critiques traditional journalistic objectivity frameworks, particularly in reporting on inequality, and explores how media shapes public perception of socio-economic issues. Recent publications analyze climate obstructionism in Scotland, framing of the cost-of-living crisis, and online climate denialism. Awards: Fellow of the Higher Education Academy (2023). Teaching: Academic staff member in Journalism Studies, contributing to courses on media ethics and political communication.

Adam Stantonمشاهده پروفایل

مدرس

• Bioinspired autonomous systems
• Artificial Life
• Data Science
• +۵ مورد دیگر

Dr. Adam Stanton is a Lecturer in Data Science and AI at the School of Information, Journalism and Communication at the University of Sheffield. His academic career spans multiple institutions including TUoS, Alan Turing Institute, Aston University, and Keele University. He also serves as Director at Larchwood Research, an R&D consultancy. Research Interests : Bioinspired autonomous systems, algorithmic evolution, sustainability and health applications of AI, and VR/XR for transcendental ritual. He explores the intersection of artificial life, evolutionary robotics, and interdisciplinary bioscience-social science projects. Publication Trends : Recent work focuses on lexicase selection in evolutionary robotics, computational modeling of biological systems, and applying AI to sustainability challenges. Conference papers emphasize behavioral diversity, selection strategies, and agent-based modeling. Education : BSc in Artificial Intelligence and Computer Science from University of Birmingham PhD in Computer Science from University of Keele Awards & Memberships : Member of the International Society for Artificial Life (ISAL) and Association for Computing Machinery (ACM).

Timothy Bradyمشاهده پروفایل

استاد

• Visual Memory
• Cognitive Psychology
• Visual Working Memory
• +۵ مورد دیگر

Dr. Timothy Brady is a Professor at the University of California, San Diego (UCSD) and the director of the Vision and Memory Lab. He is affiliated with the Department of Psychology and focuses on visual cognition and memory, using behavioral experiments, computational models, and neuroimaging techniques like EEG. Research Interests: Visual Memory, Working Memory, Scene Perception, Ensemble Perception, Statistical Learning, Cognitive Neuroscience Awards: APA Distinguished Scientific Early Career Contribution (2020), Vision Sciences Society Young Investigator Award (2020), Society of Experimental Psychologists Early Investigator Award (2020) His research explores how visual information transitions from perception to memory, emphasizing the role of prior knowledge and structured representations. Recent work highlights the capacity of visual memory for real-world objects and the hierarchical encoding of scenes. Key trends across his articles include understanding memory fidelity, the interaction between gist and item-level information, and the neural mechanisms underlying visual working memory. His lab has produced influential publications in journals like Nature Human Behaviour , Psychological Science , and PNAS . Scientific Awards APA Distinguished Scientific Award for Early Career Contributions to Psychology (2020) Vision Sciences Society Young Investigator Award (2020) Society of Experimental Psychologists Early Investigator Award (2020) Cermak/Corkin Postdoctoral Award (2025) Dr. Brady has mentored numerous graduate students and postdocs, including Hayden Schill (now Assistant Professor at UC Riverside), Anna Shafer-Skelton (FoVea Travel Award), Maria Robinson (University of Warwick faculty), and Malinda McPherson (Purdue faculty). His lab is funded by grants from the NSF and other institutions. He has contributed to tools like the MemToolbox for visual working memory analysis and resources for stimuli sets. His work is accessible via Google Scholar and collaborations with institutions like Harvard/MIT and Princeton University.

Louise Foleyمشاهده پروفایل

پژوهشگر

• Public Health
• Physical Activity
• Sedentary Behaviour
• +۵ مورد دیگر

Louise Foley is a public health scientist affiliated with the University of Cambridge through the School of Clinical Medicine and the CEDAR - Centre for Diet and Activity Research . Her work focuses on physical activity, sedentary behavior, and the health impacts of urban environments, particularly in low- and middle-income countries. She serves as Research Co-Director for the Global Diet and Activity Research Network (GDAR) , which evaluates interventions and models health impacts in urban contexts. Her research spans interdisciplinary themes including urban health, food security, and transport systems. Key projects involve analyzing the effects of urban motorways, evaluating food retail environments in Kenya, and exploring active travel barriers in African cities. She employs mixed-methods approaches and mathematical modeling to assess population-level health outcomes. Louise previously held a Career Development Fellowship at CEDAR and completed a PhD at the University of Auckland. Her current work builds on CEDAR's legacy within the MRC Epidemiology Unit , focusing on global health equity and evidence-based policy design.

Yurui Fanمشاهده پروفایل

مدرس ارشد

• water and environmental systems analysis
• hydroclimatic extremes
• hydroinformatics
• +۱ مورد دیگر

Dr. Yurui Fan is a Senior Lecturer in Flood and Coastal Engineering at Brunel University's Civil and Environmental Engineering department within the College of Engineering, Design and Physical Sciences . His work bridges cutting-edge hydroinformatics with climate change adaptation strategies. Key Affiliations: Brunel University, Royal Society-funded projects, Canadian institutions (University of Regina, NSERC, CFI) Research Interests focus on four core areas: Water and environmental systems analysis using advanced computational models Hydroclimatic extremes through compound risk assessment frameworks Hydroinformatics integrating machine learning and copula methods Climate change impacts on water resources and infrastructure Publication Trends show a strong emphasis on climate-water-energy-food nexus systems (7/15 articles), machine learning applications in hydrology (5/15), and copula-based uncertainty quantification (4/15). Recent work explores Bayesian Vine Copula approaches and multi-criteria optimization under dual uncertainties. Awards & Grants include a Royal Society International Exchanges grant (2020-2022, £11.5k) and multiple Canadian funding sources like NSERC, CFI, and provincial ministries.