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Eamon C ArmstrongView profile

Associate Clinical Professor

• Evidence-Based Medicine
• Family Medicine
• Medical Informatics
• +5 more

Dr. Eamon C Armstrong serves as Clinical Associate Professor and Clerkship Director in the Department of Family and Community Medicine at the University of Arizona College of Medicine. Based at the BUMG Alvernon Family Medicine Clinic and Residency Program, he provides patient care while supervising residents and medical students in Tucson. His career spans institutions across the United States and South Africa, with board certification in Family Medicine through the American Board of Family Medicine. His educational foundation includes: MD from University of Witwatersrand, Johannesburg (1987) MS in International Primary Health Care from University of London (2012) Family Medicine Residency at Highland Hospitals/University of Rochester (1997) Faculty Development Fellowship at University of Wisconsin (1998) Dr. Armstrong's research centers on patient-centered evidence-based medicine (EBM) at the point of care, emphasizing just-in-time clinical decision support using electronic health records. He integrates the biopsychosocial model into resident training to enhance patient-centered clinical methods. His work explores EBM curriculum interventions' impact on physician performance and patient outcomes, with strong focus on organizational change and guideline implementation in primary care settings. Scholarly output reveals consistent EBM innovation since 1998, with publications addressing clinical question formulation, database selection, and practical implementation strategies. His work bridges theoretical evidence with frontline practice, particularly in fracture prevention, cardiovascular care, and vaccine policy. His teaching excellence is recognized through: Graduating Resident Class Faculty Award for Excellence in Teaching (2024) Multiple Faculty Awards for Excellence in Teaching (2024, 2022-2020) Teacher of the Year Award in Family Medicine (2004, 2001) Vice-Chancellor’s team teaching award (2013) Headley White Clinical Teacher of the Year (2002) As Clerkship Director, Dr. Armstrong mentors students through Family Medicine Clerkships (FCM 813C) and Topics courses (FCM 896U), emphasizing real-patient EBM application. His Pool Trust Grant for the EPOC Project demonstrates successful grant acquisition for point-of-care evidence systems. He cultivates resident-as-teacher skills through interactive workshops while maintaining active clinical practice. Dr. Armstrong contributes to the University of Arizona Family Medicine Residency Program's educational framework at Alvernon Clinic, focusing on biopsychosocial integration and evidence-based decision making in diverse clinical scenarios.

Eduardo MirandaView profile

Teaching Professor

• Software Project Management
• Agile Methodologies
• Software Estimation
• +4 more

Eduardo Miranda is a Teaching Professor in the Department of Software and Societal Systems at Carnegie Mellon University, bringing extensive industry experience from roles at Ericsson (1996–2005) and Lockheed Martin (1991–1996) as a software developer, project leader, and manager. Prior to CMU, he taught as an adjunct professor in Argentina and Canada for nearly two decades. His academic credentials include: Bachelor of Science in Systems Analysis from the University of Buenos Aires, Argentina Master of Engineering from the University of Ottawa, Canada Master of Science in Project Management from the University of Linköping, Sweden PhD in Software Engineering from the École de Technologie Supérieure – Université du Québec Miranda's research centers on bridging agile practices with disciplined project management, specializing in visual milestone planning, paired comparisons for estimation, and contingency modeling. He has pioneered techniques like the Paired Comparisons Estimation Tool and developed frameworks for MoSCoW prioritization with quantitative validation through Monte Carlo simulations. His work integrates Petri Nets for requirements analysis and combinatorial testing for verification. His 15 most recent publications (2010–2023) reveal a clear trajectory toward hybrid methodologies, emphasizing visual, participatory approaches to agile execution while maintaining rigorous planning foundations. Key themes include buffer management for timeboxing, recovery models for estimation failures, and lightweight process assessments using nominal group techniques. Notable recognitions include: Master of Software Engineering Coach Award for Outstanding Teaching and Mentorship (2014) Best Industrial Paper award at IEEE System and Software Reliability Engineering Conference (1998) As an educator, Miranda created simulation-based agile teaching tools used in CMU's MSE program, though specific student mentorship details and grant funding are not documented in available sources. His industry collaborations include the MSE/NIST seminar series on combinatorial testing, but no dedicated research lab is associated with his current work.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +6 more

Tengda Han is a Research Scientist at Google DeepMind , specializing in neural networks for video understanding. He earned his PhD from the University of Oxford under Andrew Zisserman and a BEng in Mechanical & Material Engineering from the Australian National University . Prior to his PhD, he studied business administration and law at Renmin University of China for one year. PhD in Computer Science, University of Oxford (2022) BEng in Mechanical & Material Engineering, Australian National University (2016) One year of business administration and law at Renmin University of China His research focuses on video representation learning , self-supervised methods , multimodal learning , and efficient prompting techniques . He has pioneered training-free frameworks for audio description, zero-shot object counting, and hyper-realistic movie generation. Recent publications demonstrate trends in temporal alignment , discriminative prompting , 5D video modeling , and open-world counting . His work often bridges computer vision with natural language processing and speech recognition . Scientific Awards : Best Paper Award at ACCV2024 Best Poster Award at BMVC2023 BMVA Sullivan Doctoral Thesis Prize Runner-up He has co-organized workshops at ICCV25 , NeurIPS23 , and BMVA Symposium on Vision & Language . Collaborators include Andrew Zisserman, Dima Damen, and Flamingo project members at DeepMind.

Jaana-Maija KoivistoView profile

Lecturer

• Nursing Science
• Health Science
• Educational Sciences
• +5 more

Jaana-Maija Koivisto is a University lecturer at the University of Helsinki's Faculty of Medicine, Department of Nursing Science. She serves as a Clinicum Teachers' Academy Supervisor in the doctoral program, and supervises in both the Doctoral Program in Cognition, Learning, Teaching and Communication and the Doctoral Programme in Population Health. With 54 publications spanning from 2013 to 2025, her research output shows significant growth, with particular productivity in recent years (10 publications in 2020, 7 in 2022, and 6 each in 2023-2024). Dr. Koivisto holds qualifications as a Docent in Nursing, a Doctor of Philosophy in Education, and a Master of Health Sciences in Nursing. Her academic journey reflects a strong foundation in both healthcare practice and educational theory, positioning her at the intersection of nursing science and pedagogical innovation. Her research interests center on the application of virtual reality and simulation technologies in nursing education, with particular focus on empathy development, knowledge acquisition, and interprofessional competencies. She investigates how immersive technologies can enhance traditional nursing education methods, examining both quantitative learning outcomes and qualitative student experiences. Her work demonstrates a commitment to evidence-based educational practices that prepare nursing students for complex clinical environments. Analysis of her recent publications reveals a clear trajectory toward increasingly sophisticated applications of technology in healthcare education, with her 2025 work exploring generative AI integration with VR environments. The publications consistently address practical educational challenges while contributing to theoretical understanding of technology-mediated learning in healthcare contexts. As a doctoral program supervisor across multiple disciplines, Dr. Koivisto plays a significant role in shaping the next generation of healthcare educators and researchers. Her work bridges clinical practice, educational theory, and technological innovation, creating valuable cross-disciplinary connections within the university's academic ecosystem.

José Manuel Catarino Barreiros Cascais BrásView profile

Professor

• Business Continuity
• Business Process Management
• Risk Management
• +3 more

José Manuel Catarino Barreiros Cascais Brás is a faculty member affiliated with the School of Communication, Arts and Information (ECATI) and the School of Economic and Organizational Sciences (ECEO), while also contributing to COPELABS - Cognitive and People-centric Computing. His work focuses on business continuity, process automation, and enterprise engineering. Institutional Affiliation: School of Communication, Arts and Information; School of Economic and Organizational Sciences Research Group: COPELABS - Cognitive and People-centric Computing His research spans topics like business continuity planning , intelligent process automation , and risk management , with applications in financial institutions and enterprise systems. Recent work explores intersections between IEEE/2755:2020 and ISO/22301:2019 standards. Key publications include studies on auditing frameworks (2024), risk management (2023), and DEMO-based business continuity models (2016–2017). His work often combines theoretical approaches with real-world case studies.

• Autonomous Driving
• Computer Vision
• Robotics
• +5 more

Holger Caesar is a tenured Assistant Professor at Delft University of Technology (TU Delft) in the Intelligent Vehicles Lab . He leads research on scalable approaches for autonomous vehicle perception, prediction, and data annotation, with a focus on sensor fusion, domain adaptation, and minimal supervision. His work has been cited over 15,000 times. Education PhD in Computer Vision, University of Edinburgh Prior studies at KIT Karlsruhe, EPF Lausanne, and ETH Zurich Research Interests span autonomous driving perception, weakly supervised learning, novel view synthesis (NeRFs), diffusion models, and collaborative perception. He emphasizes reducing reliance on manual annotations through active learning and partial labeling techniques. Recent Publications include work on 4D Gaussian Splatting, camera-radar fusion, open-set scene graph generation, and safety benchmarking. These reflect trends toward multi-modal perception, robust sensor fusion, and foundation models for scalable autonomous systems. Scientific Awards ELLIS Europe Scholar (2024) TU Delft Cohesion Grant (100k EUR, 2024) Climate Action Grant (30k EUR, 2024) TKI High Tech Systems Grant (502k EUR, 2022) AiNed XS Grant (80k EUR, 2023) Argoverse Scene Flow Challenge Winner (unsupervised track, 2024) Advising & Grants include EU Horizon funding for the MOSAIC project (1 PhD and 1 Postdoc, 2024), EU KDT Cynergie4MIE grant (450k EUR, 2024), and industrial collaborations with Bosch, Motional, and partners across Europe. Labs & Teams include the Intelligent Vehicles Lab at TU Delft and founding roles in Motional's Data Annotation, Autolabeling, and Data Mining teams. He co-organizes workshops at ICCV, CVPR, and NCCV, and leads the ELLIS Delft Unit seminar series.

Amery WuView profile

Associate Professor

• Applied Statistical Modeling
• Psychometrics
• Educational Measurement
• +4 more

Amery Wu serves as Associate Professor and ECPS Graduate Advisor for Admissions and Scholarship at the University of British Columbia's Faculty of Education, specifically within the Department of Educational and Counselling Psychology, and Special Education. Based in Scarfe Library Block 287, Dr. Wu specializes in advanced quantitative methods for educational and psychological measurement. Dr. Wu's research focuses on applied statistical modeling in educational contexts, with particular expertise in test item performance analysis , globalization of testing through internet platforms , and longitudinal assessment methodologies . Their scholarly work bridges psychometrics with practical educational applications, examining how test design impacts diverse learner populations across international contexts. Key methodological contributions include innovations in mixed-effects modeling, differential item functioning analysis, and validation frameworks for complex assessment systems. Recent publications demonstrate a clear trajectory toward integrating response process data with performance outcomes , particularly through Bayesian modeling and advanced visualization techniques for online assessments. The research consistently addresses measurement challenges in high-stakes contexts including immigration language testing (CELPIP), health literacy instruments, and inclusive classroom models. Dr. Wu's work emphasizes the ecological validity of assessments within their sociocultural contexts. Teaching responsibilities include core methodology courses: EPSE 423 (Assessment of Classroom Learning), EPSE 481 (Introduction to Research in Education), EPSE 482 (Statistics for Educational Research), EPSE 483 (Reading Educational Research), and advanced graduate courses EPSE 592 (Experimental Designs) and EPSE 596 (Correlational Analysis). As Graduate Advisor for Admissions and Scholarship, Dr. Wu shapes the quantitative training of future educational researchers.

• Virtual Reality
• Augmented Reality
• 3D Web Technology
• +5 more

Krzysztof Walczak is a Professor at the Department of Information Technology, University of Economics in Poznan. His work bridges Information and Communication Technology (75%) with Management and Quality Studies (25%). 2020–Present: Professor 2010–2020: Assistant Professor 2001: Doctorate Research focuses on Virtual & Augmented Reality applications in education, industry, and cultural heritage. Key themes include semantic modeling for adaptive XR interfaces, 3D content creation for marketing, and AI integration in immersive environments. Recent work explores: Generative AI ethics in education Industry 4.0 VR training systems Financial data visualization in AR Green digital transition policies As a scientific leader, he has published 70+ works and supervised 110+ research activities. His Hirsch index (approx. 25) reflects significant impact in semantic XR systems and 3D web technologies.

• Coastal Adaptation
• Climate Resilient Design
• Urban Ecology
• +3 more

Kees Lokman is an Associate Professor and Chair of Landscape Architecture at the University of British Columbia (UBC) School of Architecture and Landscape Architecture. His research addresses design challenges related to sea level rise adaptation, water/food shortages, and energy transitions, with a focus on community values. He directs the UBC Coastal Adaptation Lab and leads the transdisciplinary project Living with Water , funded by the Pacific Institute for Climate Solutions. Education: MDesS, Harvard Graduate School of Design MSc, Wageningen University BSc, Wageningen University His work intersects coastal adaptation, urban ecology, and climate-resilient design, emphasizing collaboration with Indigenous communities and governmental stakeholders. Research outcomes have been published in journals like Journal of Landscape Architecture and Landscape Research . Scientific Trends: Recent articles explore fluid geographies, flood-resilient landscapes, and integrating Indigenous knowledge into coastal adaptation. Key subfields include design frameworks for uncertainty, GIS-based risk visualization, and urban metabolism applications. Awards & Funding: CELA 2019 Excellence in Research and Creative Work Award (Junior Level) Natural Resources Canada Social Sciences and Humanities Research Council Creative Industries Fund NL Hampton New Faculty Grant Professional Practice: He has practiced at Piet Oudolf’s office in the Netherlands and Terry Guen Design Associates in Chicago, and founded Parallax Landscape . His lab collaborates with Squamish and Tsleil-Waututh First Nations on coastal flooding solutions.

Kirsten MangelsView profile

Researcher

• Regional Development
• Spatial Planning
• Cross-Border Cooperation
• +4 more

Kirsten Mangels is a Researcher at the Chair of Regional Development and Spatial Planning at the Rhineland-Palatinate University of Technology Kaiserslautern-Landau. Her work focuses on regional development , spatial planning , and cross-border governance , particularly addressing challenges in rural and peri-urban areas . Her research explores territorial development in cross-border regions, healthcare accessibility for aging populations, and climate-neutral settlement structures . Key projects include the Linking Borderlands initiative (BMBF-funded) and Ageing Smart (Carl-Zeiss-Stiftung), integrating demographic trends with spatial policy . Publications highlight sustainable urban-rural integration and interdisciplinary planning , with a focus on healthcare provision , tourism economics , and compact settlement models . She has lectured internationally on European territorial cohesion and smart regional development , contributing to policy dialogues in Germany, Austria, and international forums.

Boris TolgView profile

Professor

• Medical Simulation
• Virtual Reality Applications
• Mass Casualty Incident Training
• +2 more

Boris Tolg is a Professor of Informatics and Mathematics at the Hamburg University of Applied Sciences , affiliated with the Faculty of Life Sciences and the Department of Biomedical Engineering. He leads the SIMLab and the Research and Transfer Centre for Medicine, Health, and Technology (FTZ MGT), while serving as Pro-Dean for Research and Digitalization. Research Focus: Simulation and virtual reality applications for mass casualty incident (MANV) training and medical education. Expertise: Digital monitoring systems, motion analysis in simulations, and combating simulator sickness. His recent work explores VR-based training tools for emergency response coordination, spine posture analysis sensors, and health impact assessments in urban planning. Publications emphasize scalable solutions for food safety control and digital transformation in healthcare education. Leadership: Chairs the Commission for Safeguarding Good Scientific Practice and contributes to organizations like the ARGH and GI.

Jennifer CastleView profile

Associate Professor

• Climate Econometrics
• Econometric Modeling
• Model Selection
• +7 more

Jennifer Castle is the Director of Climate Econometrics at the University of Oxford and a Titular Associate Professor and Tutorial Fellow in Economics at Magdalen College. Her work bridges econometrics and climate-economic modeling, focusing on robust forecasting methodologies and empirical analysis of macroeconomic variables like inflation, unemployment, and climate impacts. Affiliation: University of Oxford, Magdalen College Research Themes: Climate econometrics, structural break analysis, general-to-specific modeling, and non-linear time series Research Interests center on disentangling complex climate-economic relationships and improving forecasting accuracy through rigorous model evaluation. She applies these methods to inflation dynamics, energy policy, and long-term climate transition scenarios. Recent Publications highlight her work on UK inflation forecasting challenges, cryptocurrency market stability, income inequality projections, and climate policy intervention points. Her research emphasizes model robustness in the face of structural shifts and data uncertainty.

Andrew S. GordonView profile

Academic

• Interactive Narrative
• Commonsense Reasoning
• Computational Models of Narrative
• +6 more

Andrew S. Gordon is a Research Associate Professor of Computer Science at the University of Southern California and Director of Interactive Narrative Research at the Institute for Creative Technologies. His work integrates artificial intelligence, cognitive science, and interactive storytelling to create systems that automatically interpret and generate narrative structures, with a special focus on commonsense reasoning and abductive inference. Education Ph.D. in Computer Science, Northwestern University, 1999 Research Interests Gordon’s research converges on computational narrative intelligence . He develops formal models of commonsense psychology that enable machines to reason about human intentions, beliefs, and emotions. His group designs interactive narrative systems for training and education, builds large-scale story corpora, and pioneers abductive reasoning techniques that combine symbolic logic and statistical learning to interpret temporal data. Recent work explores how large language models can be guided to co-create interactive fiction and how vision–language models can be benchmarked for causal understanding. Publication Trends Across more than two decades, his publications reveal consistent themes: (1) foundational theories of commonsense psychology and strategy representation, (2) narrative technologies that blend AI planning with human creativity, and (3) practical training simulations for defense and education. The 2024-2025 papers highlight a pivot toward evaluating and steering large language models for narrative tasks, while earlier work established abductive reasoning frameworks such as “Etcetera Abduction.” Awards & Honors Best Paper Award, System Lifecycle and Technologies Track, Simulation Interoperability Standards Organization (SIW 2021) Advising & Grants He has successfully mentored three PhD students—Reid Swanson (2010), Christopher Wienberg (2017), and Melissa Roemmele (2018)—whose dissertations span computational narrative, commonsense reasoning, and interactive fiction. His research has been continuously supported by agencies including the U.S. Army, DARPA, and NSF for projects on virtual training environments, narrative-centered learning, and large-scale commonsense knowledge acquisition. Labs & Teams Gordon directs the Interactive Narrative Research Group at USC’s Institute for Creative Technologies, where interdisciplinary teams of computer scientists, cognitive psychologists, and interactive media designers collaborate on systems such as the Rapid Integration & Development Environment (RIDE) for embodied conversational agents and story-driven training simulations.

Marion TränkleView profile

Lecturer

• Performance Art
• Systems Thinking
• Interactive Media
• +5 more

Marion Tränkle is an active lecturer at the ArtScience Interfaculty of the Royal Academy of Art, The Hague (KABK), where she coaches students and develops courses on systems thinking and rule-based performance systems. She also serves as a Coach and Industrial Liaison at Eindhoven University of Technology's Department of Industrial Design since 2014, working with Professor Harm van Essen on 'social interactions with shared systems.' Her educational background spans multiple disciplines: PhD from Brunel University London (2012), MSc in Media Technology from Leiden University (2005), BA in Contemporary Dance from Amsterdam School of the Arts (2001), and an Engineer Diploma in Architecture from Technical University Berlin (1993). She has also completed specialized training in Software Engineering (2017/18) and Stage Lighting (2016). Tränkle's research interests center on the intersection of performance art, systems thinking, and technology. She creates work that deliberately negotiates 'the constructive tension between the carefully constructed and generative processes, between risk and responsibility, and between autonomous performance and human intervention.' Her practice integrates computational processes with live-performance, often using electronics, EEG data, and interactive systems to create immersive stage scenarios. She explores how simple rules can generate complex emergent behaviors, drawing from complexity science and computing principles. Her recent creative works demonstrate a consistent exploration of brain-computer interfaces, interactive light systems, and collaborative performance structures. Projects like (un)focussed and BLINK...and sync use EEG data to create real-time visual and auditory experiences, while ON TRACK and TAROT investigate mechanical systems and embodied symbolism through performance. 2nd Prize in the competition for short dance films on Internet 'webdans' (2001) Netherlands Foundation for Visual Arts, Design and Architecture Research/Travel Grant (2010) e-MobiLArt participant, funded EU CULTURE 2007 Programme (2008-09) Brunel University Doctoral Research Scholarship/fee waiver (2007-10) Tränkle actively collaborates with artists, designers, and engineers through collectives like NOW (with Ivo Bol and Roos van Berkel) and previously In Serial. She is a member of the BAU Committee for Amsterdam's independent performance scene. Her teaching philosophy emphasizes that 'making, learning, and teaching are reciprocal processes that flourish best in collaborative, and project-based environments,' which she implements through workshops, seminars, and interdisciplinary courses across multiple institutions in the Netherlands, Germany, and Canada.

• Humanitarian Logistics
• Supply Chain Management
• Civil-Military Cooperation
• +3 more

Associate Professor Graham Heaslip is a Visiting Professorial Fellow at UNSW Canberra within the School of Business , specializing in Humanitarian Logistics , Supply Chain Management , and Civil-Military Coordination . His research focuses on optimizing Disaster Relief operations through Systems-Based Approaches and Service Operations Management . Research Interests Humanitarian Logistics and Disaster Response Civil-Military Cooperation in Relief Operations Supply Chain Integration and Optimization Service-Oriented Operational Frameworks Information Flow Challenges in Crisis Logistics Capacity Building for Humanitarian Missions Publications Overview His scholarly work spans 15+ years , covering topics like Cash-Based Relief , Military-Humanitarian Interface , and Digital Learning Behaviors . Key contributions include analyzing systems inter-relationships in disaster logistics and proposing service research opportunities in humanitarian operations. Collaborations He works with international experts including Dr. Jari Honkanen , Dr. Maria Christopher , and Professor John Donovan , often bridging academic inquiry with practical implementation in crisis scenarios.