جست‌وجوی استاد و پژوهشگر

Wilbur Townsendمشاهده پروفایل

استادیار

• Labor Economics
• Immigration Policy
• Structural Economic Methods
• +۳ مورد دیگر

Wilbur Townsend is an Assistant Professor in the Department of Economics at the University of California, Berkeley. His research focuses on labor economics, immigration policy, and structural methods. He holds a PhD from Harvard University (expected 2025). Key research areas include wage-setting mechanisms, job quality dynamics, and the impact of migration policies on labor markets. His work on New Zealand’s Essential Skills visa restrictions demonstrates how migration policies can inadvertently harm both migrants and local workers through wage suppression. He has also analyzed the effects of minimum wage policies, broadband infrastructure on education, and medical marijuana laws on crime rates. Publications span journals like Nature and the Journal of Business & Economics Statistics , with notable contributions to social capital measurement and economic mobility. His GitHub repository ( github.com/wilburtownsend ) includes open-source projects like a replication of New Zealand’s minimum wage model, showcasing his commitment to transparent research methods.

• Intelligent Transportation Systems
• Connected and Autonomous Vehicles
• Vehicular Networks
• +۶ مورد دیگر

Daxin Tian is a prominent professor at Beihang University's School of Transportation Science and Engineering, specializing in intelligent transportation systems and vehicular networks. With over 170 publications spanning from 2006 to 2025, his research has significantly contributed to the advancement of connected and autonomous vehicle technologies. His work appears consistently in top-tier IEEE journals including IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, and IEEE Internet of Things Journal, establishing him as a leading authority in the field. Professor Tian's research interests encompass several critical areas in modern transportation technology: Connected and Autonomous Vehicle Systems Vehicular Networking and Communication Protocols Vehicle Platooning and Cooperative Driving Algorithms Edge Computing Applications for Transportation Computer Vision for Autonomous Driving Perception Traffic Flow Optimization and Prediction Models Resource Allocation in Vehicular Networks His recent publications demonstrate an increasing sophistication in addressing complex multi-vehicle scenarios while maintaining practical considerations like communication reliability, energy efficiency, and safety constraints. The research trajectory shows a clear evolution from foundational networking and control problems toward more integrated AI-driven solutions that combine computer vision, natural language processing, and advanced control theory for next-generation transportation systems. Professor Tian maintains extensive international collaborations, particularly with researchers at Canadian institutions including Victor C. M. Leung's group, while leading a substantial research team at Beihang University. His work frequently bridges theoretical advances with practical transportation challenges, resulting in numerous high-impact publications that address real-world implementation barriers in intelligent transportation systems.

Thomas Byrdمشاهده پروفایل

استادیار

• Artificial Intelligence in Healthcare
• Patient Safety and Deterioration
• Clinical Informatics
• +۳ مورد دیگر

Thomas Byrd, MD, MS, serves as Assistant Professor in the Division of Hospital Medicine within the Department of Medicine at the University of Minnesota School of Medicine. His academic work bridges clinical practice with cutting-edge informatics research, focusing on improving hospital-based care through technological innovation and data-driven approaches. Dr. Byrd's research program centers on artificial intelligence applications in surgical and critical care settings, patient deterioration detection systems, and secure clinical communication technologies. His investigations span validation of deterioration index models, barriers to secure messaging adoption, AI-driven radiology follow-up systems, and earlier work in medical imaging and biomedical engineering. This multidisciplinary focus aims to enhance patient safety through real-time monitoring, workflow optimization, and predictive analytics in hospital environments. Analysis of his 15 most recent publications (2014-2024) reveals an evolving research trajectory from biomedical engineering foundations toward AI-driven clinical solutions. Key thematic clusters include: (1) AI applications in surgery and critical care triage; (2) patient deterioration monitoring systems; (3) secure mobile communication adoption; and (4) earlier biomedical engineering work in medical imaging and drug delivery systems. The publications demonstrate increasing focus on translational informatics with strong emphasis on real-world implementation challenges. Scientific Awards: No scientific awards documented in available source material Advising and Grants: While Dr. Byrd's role as faculty suggests potential advising responsibilities, no student names or grant funding details appear in the provided documentation. His research output indicates active investigation in clinical informatics but specific mentoring activities or funded projects remain unspecified in the source text. Laboratory and Team Affiliations: Dr. Byrd is institutionally anchored in the Division of Hospital Medicine at the University of Minnesota, though specific laboratory facilities or dedicated research teams are not described. His collaborative work appears cross-disciplinary, spanning departments of medicine, surgery, radiology, and biomedical engineering as evidenced by publication topics.

Ying Xieمشاهده پروفایل

دانشیار

• Emerging Technologies in Education
• Reflective Learning
• Knowledge Integration
• +۹ مورد دیگر

Ying Xie is an Associate Professor in the Department of Educational Technology, Research and Assessment at Northern Illinois University, College of Education. Her work bridges technology and pedagogy, with a focus on enhancing reflective learning, knowledge integration, and group cognition through innovative digital tools. Educational Background: Ph.D. in Instructional Systems, The Pennsylvania State University, with a minor in Educational Psychology B.S. in Computer Science and B.A. in Foreign Languages, University of Science and Technology of China Her research spans emerging technologies in education , including robotics in K–12 STEM learning, technology-assisted language acquisition, and mathematical problem posing. She explores how tools like word clouds, blogs, and mobile VR can scaffold reflective thinking and collaborative knowledge building. Her work is grounded in both cognitive and social learning theories. Analysis of her recent publications reveals a consistent focus on technology-enhanced learning environments , particularly using visual and interactive tools (e.g., tag clouds, blogs, VR) to support metacognition and collaboration. Her studies often employ mixed methods and design-based research, targeting diverse populations from K–12 to higher education. A growing interest in emergency remote learning and teacher self-efficacy is evident in her 2021 publications. Scientific Awards: No awards explicitly mentioned in the provided text. Dr. Xie actively advises graduate and doctoral students, as seen through her teaching of ETT 799 (Doctoral Research and Dissertation). She has contributed to curriculum development in instructional technology and research methodology. Her service includes participation in academic seminars and research guidance. She leads or contributes to research projects examining digital learning tools and their impact on cognition and engagement. Her lab or research team likely focuses on user experience in educational technology, possibly linked to the UX Lab mentioned in the departmental resources.

Georgios Bardisمشاهده پروفایل

استادیار

• Intelligent Computer Graphics
• Declarative Modeling
• Multicriteria Decision Analysis
• +۴ مورد دیگر

Georgios Bardis is a permanent Assistant Professor at the Department of Informatics and Computer Engineering , School of Engineering , University of West Attica . He holds a PhD in Informatics from University of Limoges (2006), an MSc in Software Systems from University of California, Santa Barbara (1994), and a Diploma in Computer Engineering & Informatics from University of Patras (1992). His career spans multiple academic roles, including Lecturer at University of West Attica (2018-2021) and Professor of Applications at TEI of Athens (2010-2018). Research Interests : Focus on Intelligent Computer Graphics , Declarative Modeling , and Multicriteria Decision Analysis . His work integrates AI into 3D scene synthesis, urban planning, and semantic decision systems. Awards : Master Microsoft Office Specialist (MOS), 2003 NAT Scholarships for Academic Excellence (1989-1992) 1984 Monetary Prize from Hellenic Mathematical Society Leadership : Member of AKIIS Research Lab (University of West Attica), Editorial Board of International Journal of Systems Biology and Biomedical Technologies , and Reviewer for International Journal of Digital Earth . Publications : 5 peer-reviewed journals, 2 books, 8 book chapters, and 22 conference papers. Key areas include WebGL avatars, urban data analysis, and 3D modeling with AI.

• Human-Computer Interaction
• Ubiquitous Computing
• Virtual Reality
• +۱۲ مورد دیگر

Johannes Schöning is a Professor of Human-Computer Interaction (HCI) at the University of St. Gallen, Switzerland. He leads a research group focused on developing novel user interfaces to empower individuals and communities in data-driven decision-making. His work spans interdisciplinary domains including geographic information science, public health, medical contexts, and space exploration. His research interests include Human-Computer Interaction, Virtual and Augmented Reality, Ubiquitous Computing, Accessibility, AI in HCI, and Sustainable HCI. He employs user-centered design and mixed methods, combining AI, computer graphics, and cognitive psychology to create disruptive, theory-grounded research. His lab publishes in top venues such as ACM CHI, MobileHCI, DIS, and journals like Nature and PLOS ONE . His recent publications reveal a strong focus on VR/AR for emotional regulation, accessibility, navigation systems, privacy, and citizen participation. Trends include the use of generative AI, eco-feedback, assistive wearables, and ethical implications of large-scale navigation technologies. Best Paper Award & Accessibility Award, Interact 2019 Best Paper Award, MobileHCI 2015 (StripeMaps) Best Presentation Award, IEEE VR 2023 Honorable Mention Awards at MobileHCI, CHI, MUM, and others Vodafone Research Advancement Award, 2012 McKinsey Business Technology Award Nominee, 2011 10 Year Impact Award 2021, MobileHCI 2011 paper He actively advises students and recruits for bachelor’s, master’s, PhD, and postdoctoral positions at the intersection of HCI, geoinformatics, and ubiquitous computing. He emphasizes creating a detox-free academic environment to focus on teaching and research excellence. His lab collaborates on interdisciplinary projects involving space missions, public health, and urban technology, often involving international teams and real-world deployments. He has contributed to discussions on research culture, academic ethics, and the future of HCI conferences.

• Human-Computer Interaction
• Digital Multimedia
• Computer Games
• +۷ مورد دیگر

Pedro Faria Lopes is an Associate Professor at the Department of Information Science and Technology (ISTA), School of Technologies and Architecture, ISCTE – Instituto Universitário de Lisboa. He is also an Associate Researcher at ISTAR-Iscte, contributing to the Digital Living Spaces research group. His academic roles involve teaching and supervising students in digital multimedia, human-computer interaction, and game design. His educational background includes: PhD in Electrical and Computer Engineering, Higher Technical Institute - UTL (1996) Master's degree in Electrical and Computer Engineering, Higher Technical Institute - UTL (1989) Bachelor's degree in Electrical Engineering, Higher Technical Institute - UTL (1985) Pedro Faria Lopes's research interests focus on digital multimedia, human-computer interaction, computer games, sound and video for multimedia, computer animation, and digital content creation for lifelong and e-learning contexts. His work bridges technology and education, emphasizing interactive and engaging digital experiences. He has contributed extensively to the development of serious games, multimedia applications, and educational technologies. His recent publications highlight trends in educational video games, procedural content generation, interactive storytelling, and digital inclusion through mobile applications. These works reflect a strong commitment to applying computing technologies in educational, social, and cultural domains, particularly through game-based learning and accessible design. He has supervised numerous graduate students, with 15 completed and 3 ongoing Master’s dissertations, as well as 1 completed and 1 ongoing doctoral theses, primarily at ISCTE. His teaching activities include courses such as: Human-Computer Interaction Digital Game Design and Production Sound, Video and Digital Content Authoring Visualization and Human-Computer Interaction Multimedia Management Although no specific scientific awards are listed in the provided text, his sustained research output and academic leadership suggest recognition within his fields. His work in digital living spaces and educational technologies indicates active engagement in interdisciplinary research projects.

• Natural Language Generation
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Dr Yaji Sripada is a Senior Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen. His research integrates artificial intelligence, machine learning, natural language generation (NLG), and information visualization to enhance human-machine communication, particularly in automating data science workflows and ensuring model transparency. His research interests are centered on Natural Language Generation , Explainable AI , Human-Computer Interaction , and Fairness, Accountability, and Transparency in AI . He has pioneered work in generating textual summaries from complex data, especially in healthcare and environmental monitoring. His research bridges technical AI development with real-world applications in public transport, neonatal care, and digital governance. His recent publications (2023–2025) reflect a strong trend towards AI ethics , regulatory policy , and the integration of large language models (LLMs) in public infrastructure and automated verification. He also holds multiple patents in NLG and data processing technologies, underscoring his translational research impact. Dr Sripada is a co-founder of Arria NLG, a leading company in data-to-text technology, and has advised numerous researchers and students in AI and NLG. His collaborative work spans disciplines including computer science, environmental science, transportation, and law. He has contributed to policy discussions on AI regulation and copyright, demonstrating engagement with societal implications of AI. His work on bias amplification in generative AI highlights his commitment to responsible innovation. His research has been applied in diverse domains, including neonatal intensive care (e.g., BT-Nurse system), rural transport systems (e.g., TravelBot), and environmental data communication (e.g., river level reporting). He continues to lead innovative projects at the intersection of AI, data science, and human-centered design.

Ole Madsenمشاهده پروفایل

استاد

• Robotics
• Automation
• Industry 4.0
• +۶ مورد دیگر

Ole Madsen is a Professor at the Department of Materials and Production within The Faculty of Engineering and Science at Aalborg University . His research focuses on Robotics and Automation , particularly in 5G Smart Production , AI for Manufacturing , and Industry 4.0 applications. He also holds a part-time position at Adding Robotics , applying his expertise in robot integration for industrial and healthcare settings. Research Interests : Robotics, Automation, AI, Sensor Systems, Modular Manufacturing, Welding Technology, Digital Twins, Human-Centered Robotics, Industry 4.0 His work spans 35+ years with over 205 publications , emphasizing smart production systems and robot-assisted processes . Key contributions include Swarm Production Architectures , 5G-Enabled Robotics , and Human-Robot Collaboration frameworks. He has supervised 10 PhD students and led major projects like RAU (Robot-Assisted Ultrasound) and GINP: Robotics & AI Innovation Network . Scientific Awards : SCAP2020 Best Presentation Award (2020) Ole's 31 projects include AP2030: Aseptic Factory 2030 (pharma production), AddSmart (robotics R&D), and 5G-Enabled Autonomous Systems . His 127 press/media mentions highlight advancements in robotic welding , industrial metaverse , and swarm production . He maintains an ORCID: 0000-0003-2133-2541 with extensive publication records across Swarm Robotics , Modular Manufacturing , and AI-Driven Production .

Mitra Baratchiمشاهده پروفایل

دانشیار

• Spatio-Temporal Data Analysis
• Machine Learning
• Mobility Data Modeling
• +۵ مورد دیگر

Mitra Baratchi is an Associate Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University. She leads the Spatio-temporal data Analysis and Reasoning (STAR) research group, co-leads the Automated Design of Algorithms (ADA) group, and founded the Special Interest Group on Spatio-Temporal Data Mining (SIG-SDTM) . PhD from University of Twente (Mobility Data) Master’s/Bachelor’s in Computer Engineering, Iran Research Interests focus on automated pattern extraction from spatio-temporal data across urban, environmental, and industrial domains. Key applications include: Automated Machine Learning (AutoML) for Earth Observations Time-Series Forecasting for public health (e.g., pandemic modeling) Urban Mobility Optimization with ESA, Honda, and municipalities Reliable Vehicular Communication Systems Smart Garments for Health Risk Detection Geocast Protocols for Internet-wide Communication Grant Highlights include €120K NWO-Aspasia, €2.9M Marie Skłodowska-Curie, €350K NWO-KLEIN, and €135K Center for BOLD Cities funding. She has supervised 12 PhD students and 4 current Master’s students since 2011, with notable best paper award at WWIC'16. Teaching includes Machine Learning (2020-present) and Urban Computing (2018-present) at Leiden, plus past courses in Data Visualization, Software Engineering, and Research Methods.

Tillman Weydeمشاهده پروفایل

عضو هیئت علمی

• Machine Learning
• Signal Processing
• Data Analysis
• +۵ مورد دیگر

Dr. Tillman Weyde is a Reader in the Department of Computer Science at City, University of London , where he has been employed since 2021. He leads the Machine Intelligence and Media Informatics Research Group and is a member of the Machine Learning Group . Prior to this, he served as Senior Lecturer (2009–2021) and Lecturer (2005–2009) at City, and worked as a researcher at the University of Osnabrück (2001–2005), coordinating the MUSITECH project. His academic background includes PhD in Music Technology (2002), MSc in Computer Science (1999), and MSc in Mathematics, Music, Philosophy & Pedagogy (1994), all from the University of Osnabrück. Research Focus: Machine learning and signal processing methods for data analysis with applications in finance, audio, NLP, music, health, security, and education. His recent work emphasizes inductive biases in neural networks for rule-learning, extrapolation, generalization, and interpretability. Grants & Projects: Principal Investigator for the AHRC-funded Digital Music Lab (2012–2017) and Integrated Audio-Symbolic Model of Music Similarity (2017–present). Co-investigator in Innovate UK and EPSRC projects on safer gambling ( Advancing Consumer Protection , 2015–2018) and Raven (2012–2021). Collaborations: Affiliated with the Institute of Cognitive Science (Osnabrück), Intelligent Systems Research Laboratory (Reading), and the MPEG Ad-Hoc Group on Symbolic Music Representation. Awards: Co-author of the 2000 Comenius Medal-winning educational software Computer Courses in Music Ear Training and co-editor of the Osnabrück Series on Music and Computation . Publications: Over 150 peer-reviewed works including conference papers, journal articles, and book chapters, focusing on interdisciplinary applications of machine learning in music, health, and finance. Students: Supervised 13 PhD students across topics like grammar bias in neural networks, emotion recognition from audio, extrapolation behavior in neural networks, relation-based patterns, legal text parsing, and more.

Martin Wulf Gerdesمشاهده پروفایل

دانشیار

• eHealth
• Artificial Intelligence
• Machine Learning
• +۹ مورد دیگر

Martin Wulf Gerdes is an Associate Professor at the Department of Information and Communication Technology, University of Agder, Norway. With a Ph.D. in eHealth and over two decades of experience in telecommunications and healthcare technology research, he focuses on developing user-friendly, interoperable eHealth solutions using ICT and IoT. His career spans roles at Ericsson Eurolab and academic leadership in Norway. Education: M.Sc. equivalent in General Electrical Engineering (1998) from RWTH Aachen, emphasizing ICT. Ph.D.: Information and Communication Technologies with eHealth specialization (2019) from University of Agder. Research Interests: Gerdes explores AI-driven decision support systems, distributed eHealth infrastructure, telemedicine, and assistive technologies for chronic disease management. His work bridges IoT, data privacy, and user-centered design in healthcare robotics. Teaching: Since 2014, he has taught at bachelor's and master's levels, currently leading courses in Communication & Cooperation, Technology Understanding, and seminar projects in eHealth. Scientific Publications: His 15 most recent articles (2020-2024) span AI in dental radiology, blood glucose prediction, digital twins, and ethical considerations in healthcare algorithms. Topics include IoT integration, data privacy, and pandemic analytics.

• Business Process Management
• Information Systems
• Petri Net Modeling
• +۳ مورد دیگر

Andreas Oberweis is a Professor at the Karlsruhe Institute of Technology (KIT), Germany, with a distinguished career in business process management, information systems, and process modeling. His work spans interdisciplinary collaborations, focusing on integrating formal methods like Petri nets with practical applications in digital identity, privacy, and educational technology. Key research areas include Business Process Management, Information Systems, Petri Net Modeling, Semantic Web, and Process Mining. He has contributed to methodologies like MEUSec for enhancing user experience and security in digital identity wallets, and frameworks for automated assessment of modeling competencies. Publications highlight innovations in process model similarity, social network coordination, and 3D business process visualization. His recent work emphasizes user-centric security and multimodal mobility optimization. Collaborations involve institutions like KIT, University of Rome, and Queensland University of Technology, with co-authors such as Peter Loos, Ralf Reussner, and Agnes Koschmider. He has developed tools like INCOME2010 for process-oriented systems and contributed to open models for enterprise systems. Despite no explicit awards listed, his 18+ years of continuous publication in top venues (BPM, EMISA, Modellierung) underscore his academic impact.

• Requirements Engineering
• Agile Software Development
• Security Requirements
• +۳ مورد دیگر

Maya Daneva is a Professor at the University of Twente , Netherlands, specializing in Requirements Engineering , Agile Software Development , and Software Security . She has extensive contributions to empirical studies on quality requirements in distributed agile projects, security risk frameworks for cyber-physical systems, and crowdsourced requirements engineering. Key Research Areas: Agile quality requirements, security ontology modeling, DevOps architecture, user feedback analysis for mobile apps Recent Article Trends: Focus on domain modeling pain points, phishing attack ontologies, personality-driven security perceptions, and empirical validation of requirements checklists Leadership: Organizer of EmpiRE workshops, CreaRE workshops, and REFSQ doctoral symposia

• Human-Computer Interaction
• Wearable Technology
• Telerobotics
• +۴ مورد دیگر

Kris Luyten is a Researcher at Hasselt University 's Expertise Centre for Digital Media in Belgium. He specializes in Human-Computer Interaction , Wearable Technology , and Interactive Systems through extensive collaborations with institutions like ACM, Springer, and interdisciplinary teams. Focus on haptic interfaces , telerobotics , and delay-invariant interaction Contributions to multimodal interface design and predictive usability models His recent work explores AI-Spectra dashboards for model transparency and ViRgilites for VR haptics. Publications span journals like Proc. ACM Hum. Comput. Interact. and conferences such as CHI , EICS , and VRST . While no student advising or awards are explicitly listed, his editorial roles (e.g., PACMHCI editorials) demonstrate leadership in interactive systems research.