جست‌وجوی استاد و پژوهشگر

Hanna Bergمشاهده پروفایل

پژوهشگر ارشد

• Consumer Behavior
• Advertising Psychology
• Retail Technology
• +۳ مورد دیگر

Hanna Berg serves as a Research Fellow at the Center for Consumer Marketing (CCM) within the Department of Marketing and Strategy at Stockholm School of Economics. Her academic home resides in the School of Business, where she focuses on critical intersections of consumer psychology and retail innovation. Her research interests prominently feature consumer behavior in aging populations , evidenced by systematic reviews and experimental studies on elderly consumers. She investigates gender representation in advertising through stereotype disruption frameworks, particularly examining older women's portrayal. Technical aspects of visual retail environments constitute another pillar, analyzing mannequin design, augmented reality applications, and online product visualization techniques. Current projects explore digital-physical retail integration, including video-assisted shopping and packaging imagery effects in e-commerce. Analysis of her 15 most recent publications reveals evolving trends: early work (2014-2016) established foundations in visual merchandising and emotional contagion, while 2020-2025 research demonstrates sophisticated expansion into age-inclusive advertising and technology-mediated retail experiences. Her methodology consistently blends experimental design with real-world retail applications. Wallander Scholarship (2016) for three-year research continuation Berg leverages her decade-long commercial marketing research background to bridge academic rigor with industry applicability. Her work with Handelsrådet and Hakon Swenson stiftelsen demonstrates strong corporate-academic collaboration, particularly in translating findings about visual merchandising and demographic targeting into retail practice. The Center for Consumer Marketing provides her primary research ecosystem, facilitating studies on in-store technology implementations and cross-channel consumer behavior. Her laboratory environment emphasizes real-world retail testing, with projects frequently conducted in partnership with Swedish retailers. Current work on augmented reality engagement suggests trajectory toward immersive technology applications, while her age-demographics research indicates growing focus on inclusive retail design for aging populations.

• Construction Project Management
• Social Value in Construction
• Digital Innovation in Construction
• +۳ مورد دیگر

Dr Selcuk Cidik serves as Associate Professor in Construction and Project Management at University College London's Bartlett School of Sustainable Construction, where he leads the B.Sc. (Hons) Project Management for Construction programme. With seven years of industry experience in construction bidding and commercial management for major civil engineering contractors, he transitioned to academia in 2012 after initial roles as an assistant project manager. Prior to UCL, he held lecturing positions at Birmingham City University and London South Bank University. He earned his Ph.D. in 2016 for research on 'The practice of interdisciplinary design in BIM-enabled projects', establishing his expertise in digital construction frameworks. His scholarly work examines value creation across construction project lifecycles through multi-level theoretical lenses integrating societal and stakeholder perspectives. Dr Cidik's research program investigates the politics of social value in infrastructure using political ecology and non-representational spatial theories, systems approaches to building safety, and digital transformation impacts on organizational routines. His work bridges organizational studies, political science, and systems thinking to address circular economy implementation challenges and BIM-enabled collaboration dynamics in sustainable construction. Analysis of his 2023-2025 publications reveals dominant trends in circular economy applications (particularly green infrastructure retrofitting), socio-spatial dimensions of value creation, and digital compliance tools. Key thematic clusters include stakeholder power dynamics in infrastructure governance, spatial analysis of circular systems, and trust frameworks for BIM collaboration, reflecting his commitment to translating theoretical insights into practical sustainable construction solutions. As an educator, he has supervised over 20 undergraduate and 60 master's students while teaching core modules including Construction Ecosystem and The Management of Construction Projects. His leadership extends to dissertation supervision across large cohorts and development of curriculum focused on innovation, technology, and management in the built environment.

Oliver Poseggaمشاهده پروفایل

استاد

• Socio-technical Systems
• Social Networks
• Artificial Intelligence Impact Analysis
• +۷ مورد دیگر

Oliver Posegga is an interim Chair of Information Systems and Social Networks at the University of Bamberg and a principal investigator for the Volkswagen Foundation -funded project "Communicative Power in Hybrid Media Systems." He serves as a visiting scholar at MIT Sloan School of Management's Center for Collective Intelligence and leads the Department of Business Informatics, especially Social Networks since 2020. Diploma in Information Systems (2011), University of Cologne Ph.D. in Information Systems (2017), University of Bamberg Visiting Scholar (2019-2020), MIT Center for Collective Intelligence His research bridges information systems and social sciences to analyze: Collective dynamics in digital networks Impact of AI on organizations/society Social media's role in crisis management Data/information quality frameworks Discursive power in hybrid media systems Responsible AI integration Recent publications focus on AI literacy , ethical human-AI collaboration , and digital culture analysis across journals like Journal of Strategic Information Systems , PLoS One , and conferences ECIS , ICIS , HICSS . Key projects examine meme-based community boundaries, AI's effect on organizational learning, and crisis response systems. Scientific Recognition : Best Research in Progress Paper Award (2017)

Carlos Andujar Granمشاهده پروفایل

دانشیار

• Computer Graphics
• 3D Modeling and Animation
• Virtual and Augmented Reality
• +۵ مورد دیگر

Carlos Andújar Gran is an Associate Professor in the Computer Science Department at the Polytechnic University of Catalonia . He is a key member of the ViRVIG Research Center for Visualization, Virtual Reality, and Graphics Interaction, as well as the Eurographics Association . His work bridges technical innovation with cultural and educational applications. Primary affiliation: Universitat Politècnica de Catalunya Research center: ViRVIG - Research Center for Visualization, Virtual Reality and Graphics Interaction Professional network: Eurographics Association His research interests focus on advanced topics in computer graphics and virtual reality : 3D Modeling - Digital reconstruction of complex geometries Animation Systems - Real-time motion capture and pose estimation Cultural Heritage - Digital restoration techniques for medieval monuments Human-Computer Interaction - 3D user interface design Sports Analytics - Player position tracking through computer vision Medical Education - VR nursing training platforms His technical publications demonstrate a consistent focus on solving practical problems through innovative algorithms: Developed DragPoser for motion reconstruction with sparse sensors Created PADELVIC dataset for sports analytics Advanced automated color restitution methods for mural paintings Improved normal estimation in point cloud processing Optimized terrain super-resolution techniques using convolutional networks Designed interactive cultural heritage systems for museum exhibitions

• Human Factors Psychology
• Human-Machine Interaction
• Trust in Automation
• +۷ مورد دیگر

Dr. Qiyuan Zhang is a Lecturer in Human Factors at Cardiff University's School of Psychology , specializing in human-machine systems with emphasis on human-robot interaction , trust in automation , and human-AI collaboration in safety-critical contexts including transportation, emergency services, and cybersecurity. His research integrates Cognitive Psychology and Social Psychology theories to address real-world challenges. PhD in Cognitive Psychology from Durham University Focus on human-automation interdependence , auditory communication , and cognitive workload effects Key grants: £800k ESRC-JST (Rule of Law in AI Age), £5.6M Innovate UK (Flourish CAV Project), and £75k Airbus (XAI Research) Email: ZhangQ47@cardiff.ac.uk His work explores anthropomorphism in autonomous vehicles , noise impact on cognition , and human error in digital security , with methodological approaches spanning simulations, AR integration, and experimental paradigms.

Xi Wangمشاهده پروفایل

مدرس

• Natural Language Processing
• Conversational AI
• Retrieval-Augmented Generation
• +۳ مورد دیگر

Dr Xi Wang is a Lecturer in the School of Computer Science at the University of Sheffield, specializing in Natural Language Processing. His research focuses on conversational AI systems, personalization techniques, retrieval-augmented generation, and fairness in AI applications. He actively contributes to the school's Natural Language Processing research group and maintains strong industry connections through publications in top-tier conferences. Dr Wang earned his PhD from the University of Glasgow under Prof. Iadh Ounis and Prof. Craig Macdonald, where he developed review text-based recommender systems. He subsequently conducted postdoctoral research at University College London's web intelligence group with Prof. Emine Yilmaz, focusing on knowledge-augmented task-oriented dialogue systems. His research spans critical NLP domains with emphasis on: Conversational AI: Building dialogue systems that handle complex user interactions Retrieval-Augmented Generation: Integrating external knowledge into language models Personalization: Developing adaptive systems that respect user context Fairness: Addressing bias in recommendation and dialogue systems Machine Learning: Applying advanced techniques to information retrieval challenges Analysis of Dr Wang's 15 most recent publications (2021-2025) reveals a clear trajectory toward more sophisticated conversational systems. His work increasingly integrates retrieval methods with generative models, particularly in recommendation contexts. Key trends include cold-start problem solutions, bias mitigation in conversational agents, and novel approaches to clarification question handling. The research demonstrates growing emphasis on fairness and knowledge grounding in dialogue systems. Dr Wang received a Google research workshop grant ($20,000) in 2022 for developing knowledge-enriched task-oriented dialogue systems during his postdoctoral work at UCL with Prof. Emine Yilmaz. While no current advisees are listed, Dr Wang's grant activity demonstrates research leadership. His Google-funded project focused on action-oriented dialogue systems, showing capability in securing competitive research funding. The Natural Language Processing research group at Sheffield provides his primary academic home, where he contributes to the school's strengths in speech and language technologies. His recent publications indicate active collaboration with researchers across multiple institutions including UCL, University of Glasgow, and international partners.

Maureen Schmitter-Edgecombeمشاهده پروفایل

استاد

• Clinical Neuropsychology
• Cognitive Neuropsychology
• Aging and Dementia
• +۴ مورد دیگر

Maureen Schmitter-Edgecombe is a Regents Professor in the Department of Psychology at Washington State University's College of Arts and Sciences, where she directs the Neuropsychology and Aging Laboratory. She earned her Ph.D. from the University of Memphis in 1994. Her research bridges clinical neuropsychology and technology, focusing on cognitive aging, dementia, and functional independence through smart-home systems and digital interventions. Her primary research investigates: Relationships between cognition and everyday functioning in aging and neurodegenerative disorders (e.g., Alzheimer's, Parkinson's) Development of compensatory strategies and assistive technologies (e.g., digital memory aids, sensor-based smart homes) Preventative brain health interventions combining lifestyle modifications and cognitive training She leads multidisciplinary projects funded by NIH, NSF, and DoD, including longitudinal smart-home studies and clinical trials for cognitive rehabilitation. Her recent publications emphasize ecological assessment methods, digital health applications, and personalized interventions for mild cognitive impairment. Common themes include smart-home behavioral analytics, compensatory strategy efficacy, and technology adoption predictors in aging populations. She mentors graduate students in the Neuropsychology and Aging Lab and teaches courses including Psychology and Aging , Gerontechnology , and Foundations of Neuropsychology . Current grants include: NIH R35 AG071451: Adaptive wearable technologies for Alzheimer's assessment/intervention ($4.59M) DoD AZ190055: Digital memory notebook for functional support ($1.3M) NIH R25 AG046114: Undergraduate training in health-assistive smart environments ($1.84M) Her lab employs smart-home sensors, ecological momentary assessment, and robotics to develop clinically translatable tools for functional monitoring and cognitive support.

Karrie Karahaliosمشاهده پروفایل

استاد

• Human-Computer Interaction
• Social Computing
• Algorithmic Transparency
• +۶ مورد دیگر

Karrie Karahalios is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champagne (UIUC), with affiliate appointments in Electrical and Computer Engineering, the Coordinated Science Laboratory, and the School of Library and Information Science. Her work bridges human-computer interaction, social computing, and algorithmic ethics, focusing on sociable systems for mediated communication, visualization, and accessibility. PhD in Media Arts and Sciences from MIT (2004) Co-Founder and Director of the Center for People and Infrastructures (2011–Present) Her research explores algorithmic transparency , social visualization , and accessibility technologies , particularly for neurodivergent populations. She investigates how algorithms shape social dynamics, with a focus on user agency , fairness in AI , and collective decision-making . Her recent publications highlight trends in generative AI for accessibility , online community moderation , and ethical implications of algorithmic systems . Karahalios has received prestigious awards including the ACM Distinguished Member (2019), Alfred P. Sloan Fellowship (2010), and multiple CHI Best Paper Awards (2008, 2009, 2015, 2017, 2023). She also earned the Microsoft Research A. Richard Newton Fellowship (2008) and the University of Illinois Engineering Council Outstanding Advising Award (2014). Her students include PhD researchers like Vinay Koshy (moderation tools), Alex Atcheson (AI for accessibility), and Sayantani Basu (healthcare visualization). She co-founded the Social Spaces research group and contributed to projects like StreamSketch (creative live-streaming) and MAPWatch (algorithmic border personalization). Notable labs and teams include the Coordinated Science Laboratory , the Social Computing Laboratory , and the Just Infrastructures speaker series. Her work has been supported by grants from the National Science Foundation and collaborations with institutions like Carnegie Mellon University and Harvard’s Berkman Klein Center .

• Deep Learning
• Brain-Computer Interfacing
• Neurotechnology
• +۳ مورد دیگر

Robin Tibor Schirrmeister is a researcher at the University of Freiburg's Faculty of Engineering, specializing in deep learning applications for brain-computer interfacing and neurotechnology. His work bridges engineering and medical domains through affiliations with BrainLinks-BrainTools, the Neurorobotics Lab, and the Department of Presurgical Epilepsy Diagnostics. His doctoral research (2024) focused on EEG signal decoding under advisors Frank Hutter and Tonio Ball. Key research areas include: Deep learning for EEG pathology classification Real-time brain-signal decoding systems Human-robot interaction via BCI Medical diagnostics using neural networks Publication trends since 2018 reveal consistent advancement in EEG decoding methodologies, with recent work (2024-2025) focusing on brain-age dynamics, small-data prediction models, and Riemannian geometry applications. His research demonstrates strong clinical translation potential, particularly in epilepsy diagnostics and assistive robotics. Award: 2018 Poster Prize for µECoG research Collaborative work spans multiple labs including BrainLinks-BrainTools and the Epilepsy Center, with significant contributions to clinical EEG dataset development and intracranial signal processing. Current projects focus on scaling behavior in EEG classification and brain-age modeling. Research infrastructure includes the Neurorobotics Lab for BCI-robot integration and the Epilepsy Center for clinical validation, enabling translational work from algorithm development to medical applications.

• Data Mining
• Machine Learning
• Multidimensional Data Analysis
• +۴ مورد دیگر

Dr. Gintautas Dzemyda is a leading research professor in data mining, machine learning, and multidimensional data visualization. With over 30 years of academic contributions, he has authored/co-authored 49+ publications and participated in 20+ conferences, including WorldCIST and Baltic DB&IS. His work spans medical imaging, financial security, and maritime decision support systems. Research Focus: Multidimensional Scaling (MDS), Neural Networks, Medical Image Analysis Key Collaborations: Olga Kurasova, Viktor Medvedev, Martynas Sabaliauskas Research Interests include: Advanced Data Visualization Techniques Machine Learning for Medical Diagnostics Fraud Detection in Financial Systems Decision Support Systems for Maritime Navigation Optimization of Neural Network Architectures Dimensionality Reduction Methods Scientific Awards (none explicitly mentioned).

Thomas Fritzمشاهده پروفایل

دانشیار

• Software Engineering
• Human-Computer Interaction
• Developer Productivity
• +۴ مورد دیگر

Prof. Dr. Thomas Fritz is an Associate Professor of Human Aspects of Software Engineering at the University of Zurich's Department of Informatics within the Faculty of Business, Economics and Informatics. His research focuses on empirically studying software developers through biometric sensing and interaction analysis to enhance productivity and wellbeing. Key domains include developer productivity analytics, interruptibility detection using physiological sensors, and context-aware developer tools. Research interests center on: Developer Productivity/Personal Analytics: Measuring and improving developer efficiency through activity monitoring Biometric Sensing: Using physiological data (e.g., heart rate, EEG) to predict code quality and emotional states Information Needs: Modeling developers' contextual requirements during coding tasks His publications predominantly explore human factors in software engineering, with recurring themes of biometric sensing, developer productivity, and human-centered tool design. Recent work shows increased focus on VR applications for workspace optimization and real-time stress detection in knowledge workers. Awards and honors include: Honorable Mention Awards at CHI 2017 and CHI 2018 ACM SIGSOFT Distinguished Paper Award (2010) 3rd Place in ACM Student Research Competition (2010) He leads the Human Aspects of Software Engineering (HASE) Lab and has advised over 20 PhD/Master's students. Research is funded by Swiss National Science Foundation grants, ABB Software Research Grants, NSERC Collaborative Research grants, and Microsoft SEIF Awards. Current projects include emotion-aware development environments and VR-based productivity tools.

David Starobinskiمشاهده پروفایل

استاد

• Cybersecurity
• Wireless Networking
• Blockchain and Cryptocurrency
• +۵ مورد دیگر

David Starobinski is a Professor at Boston University's Electrical and Computer Engineering department with joint appointments in Systems Engineering and Computer Science . He holds a Ph.D. in Electrical Engineering from the Technion - Israel Institute of Technology (1999), and has held visiting positions at UC Berkeley (1999-2000), EPFL (2007-2008), and the U.S. DoT Volpe Center (2014-2019). His research focuses on Cybersecurity Wireless Networking Blockchain Technology Network Economics IoT Security Vehicular Network Analysis with an emphasis on practical implementations and theoretical models. Recent publications highlight advancements in Threat Knowledge Graphs Blockchain Transaction Pool Sync Vehicular Information Diffusion Spectrum Sharing Frameworks Software Composition Analysis reflecting his interdisciplinary approach. Award highlights include NSF CAREER (2002) DOE Early Career award (2004) Multiple best paper awards (WiOpt 2010, IEEE CNS 2016, IEEE ICBC 2020/2023) BU ECE Teaching Awards (2010, 2020) and editorial roles in leading journals. He advises a research group spanning cybersecurity, wireless protocols, and blockchain systems, with collaborations across the Networking and Information Systems Lab , CISE , and Hariri Institute . Current projects involve 5G/6G Spectrum Sharing Automated Threat Modeling for Connected Vehicles Resilient Blockchain Architectures Cybersecurity Operations with Knowledge Graphs supported by NSF and Red Hat Collaboratory.

• Mathematics Education
• Teacher Training
• Educational Technology
• +۳ مورد دیگر

Zeynep YILDIZ is a faculty member at the Faculty of Education , Yıldız Technical University , specializing in Classroom Training . With over 62 publications and 9 research projects, her work spans mathematics education, teacher training, and socio-technical infrastructures. Email: zeyildiz@yildiz.edu.tr Office: A-312, Faculty of Education, Esenler Campus Her research focuses include: Applied mathematics in elementary education Virtual reality accessibility for mixed-ability workspaces Teacher training methodologies Consumer culture and spatial design analysis Recent publications examine rehabilitation game design, pandemic-era distance education impacts, and socio-cultural dimensions of educational spaces. Despite no explicit awards listed, her extensive project advisory role (4 theses) underscores her academic contributions.

Vuthea Chheangمشاهده پروفایل

استادیار

• Extended Reality (XR)
• Human-Computer Interaction
• Visualization
• +۵ مورد دیگر

Dr. Vuthea Chheang is an Assistant Professor in the Department of Computer Science at San José State University, where he teaches courses including Introduction to Computer Graphics and Data Science Senior Project. Previously, he served as a Postdoctoral Research Staff at Lawrence Livermore National Laboratory and a Postdoctoral Researcher at the University of Delaware. Education: Doctor of Engineering, Department of Simulation and Graphics, Otto-von-Guericke University of Magdeburg, Germany (2018-2022) Master of Engineering in Computer Science, Chungbuk National University, South Korea (2016-2018) Bachelor of Science in Computer Science and Engineering, Royal University of Phnom Penh, Cambodia (2011-2015) Dr. Chheang's research focuses on extended reality (XR), human-computer interaction, and visualization . His work specifically targets interaction and visualization techniques , collaborative environments , and the development of XR applications for medical planning and training . His research bridges computer science with practical healthcare applications, creating immersive environments that enhance medical education, surgical planning, and rehabilitation. His work often integrates wearable sensor technology with virtual reality to create comprehensive training and therapeutic systems that respond to user movements and provide real-time feedback. Analysis of Dr. Chheang's recent publications reveals a strong focus on medical applications of virtual reality , particularly in surgical training, anatomy education, and rehabilitation. His work spans multiple disciplines including computer science, healthcare, and engineering, with a consistent thread of developing collaborative and immersive experiences. Recent trends show increasing integration of generative AI with virtual reality systems, as well as expanding applications in additive manufacturing inspection and wearable sensor integration . His research demonstrates a clear trajectory toward more sophisticated, multi-modal XR systems that address real-world challenges in medicine and engineering. Scientific Awards: 2nd Place -- Computing Research SLAM, Stepping into the Future of Digital Twins with eXtended reality (XR), Lawrence Livermore National Laboratory (2025) Best Paper Honorable Mention, Towards Anatomy Education with Generative AI-based Virtual Assistants in Immersive Virtual Reality Environments, IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR) (2024) Noteworthy Achievement Award, Lawrence Livermore National Laboratory (LLNL) (2024) Best Paper Award, Virtual Therapy Exergame for Upper Extremity Rehabilitation Using Smart Wearable Sensors, IEEE/ACM international conference on Connected Health (2023) Nominated for Post-doctoral Research Excellence Award, University of Delaware (2023) Dr. Chheang has been actively involved in research projects spanning multiple institutions including Lawrence Livermore National Laboratory, University of Delaware, and Otto-von-Guericke University. His work has received recognition through several competitive awards and has resulted in numerous peer-reviewed publications in top-tier conferences. While specific grant information isn't detailed in the provided materials, his research trajectory suggests involvement in interdisciplinary projects that likely involve funding from agencies supporting medical technology, computer science, and engineering research. His collaborative approach is evident in his work with medical professionals and engineers across multiple institutions. Dr. Chheang's research involves collaborations with medical institutions and national laboratories, particularly evident in his work at Lawrence Livermore National Laboratory and with surgical teams. His projects often involve interdisciplinary teams combining computer scientists, medical professionals, and engineers to develop XR applications for surgical planning, medical education, and rehabilitation. The Research Campus STIMULATE at Otto-von-Guericke University appears to have been a significant research environment during his doctoral studies, focusing on simulation and medical applications.

• Computational Linguistics
• Empirical Educational Science
• Intelligent Computer-Assisted Language Learning (ICALL)
• +۱۰ مورد دیگر

Prof. Dr. Walt Detmar Meurers is a Research Professor at the Leibniz Institute for Knowledge Media (IWM) since April 2024, leading the Language and AI in Education research group. Previously, he served as a Full Professor of Computational Linguistics and head of the Theoretical Computational Linguistics group at the University of Tübingen (2008–2024). His career spans roles at The Ohio State University (Assistant to Associate Professor, 2001–2008), Universitet i Tromsø (Professor II, 2013–2016), and University of Tübingen (Lecturer, 1997–2000). His research bridges Computational Linguistics and Empirical Educational Science, focusing on Second Language Acquisition, Intelligent Computer-Assisted Language Learning (ICALL), learner corpora analysis, and linguistic complexity modeling for adaptive educational systems. Key projects include FeedBook (adaptive English learning), MERLIN (learner corpus analysis), and CoMiC (semantic comparison in education). He has contributed to formal syntax-information structure interfaces within the HPSG framework and advocated for integrating linguistic theory with educational technology. Scientific Leadership: Steering Board, LEAD Graduate School and Research Network Steering Committee, Heritage Language Consortium Scientific Advisory Board, CATALPA and SZHB Consultant, EFCAMDAT project Education: PhD in Computational Linguistics, University of Tübingen (2000) MA in Linguistics, Computer Science, Psychology, University of Tübingen (1994) ERASMUS exchange at IRIT, Université Paul Sabatier Impact: Co-authored Language and Computers (freely available as an open-access textbook) Organized workshops: AALL'09, IICALL Advisory roles for start-ups: cabuu, Prosodiya