جست‌وجوی استاد و پژوهشگر

Young Ook Kimمشاهده پروفایل

استاد

• Spatial Morphology
• Space Syntax
• Urban Design
• +۷ مورد دیگر

Young Ook Kim is a Professor at the Department of Architecture, Sejong University. His research focuses on spatial morphology, space syntax, and urban design, with applications in pedestrian behavior analysis and urban regeneration. 1999 Ph.D., University College London 1994 M.S., University of Colorado, Denver 1986 B.S., Yonsei University His work explores the relationship between spatial layouts and human behavior, particularly in crowded environments. Recent studies include predictive modeling for crowd accidents and agent-based simulations for subway station design. Key methodologies involve space syntax and computational modeling. Latest research trends emphasize pedestrian safety, urban walkability, and regional spatial characteristics, leveraging space syntax tools and agent-based simulations to analyze crowd dynamics and urban configurations. He has collaborated extensively on projects related to spatial configuration and urban planning, with contributions to conferences like the International Space Syntax Symposium. His h-index is 7, with 13 Scopus citations on recent works. 2024: Crowd accident risk prediction, improved agent simulations, and regional walking behavior studies 2023: Pedestrian behavior analysis in Seoul's Gangnam Station 2022: Mega-shelter layout planning and user-behavior studies

Jörg Rainer Noennigمشاهده پروفایل

استاد

• Digital City Science
• Urban Systems
• Knowledge Architecture
• +۶ مورد دیگر

Prof. Dr.-Ing. Jörg Rainer Noennig is Professor of Digital City Science at HafenCity University Hamburg (HCU) and Head of the WISSENSARCHITEKTUR Laboratory of Knowledge Architecture at TU Dresden. With a background in architecture (Bauhaus Universität Weimar, Waseda University Tokyo), he practiced in Tokyo before transitioning to academia. He has held visiting professorships in Italy, France, Russia, and Japan. His research focuses on digital urban systems , including smart cities, participatory planning, and knowledge architecture. He explores AI applications in urban design, agent-based simulations for mobility, and transdisciplinary frameworks for sustainability. Recent projects include TOSCA (open-source urban tools), SmartFly (eVTOL integration), and MICADO (migrant integration platforms). Publications emphasize data-driven urban methodologies , spanning synthetic data generation, pedestrian modeling, and sustainable infrastructure design. His work integrates materials science (e.g., auxetic structures) with digital twins for resilient cities. Awards include the Grand Prix of the European Association for Architectural Education (EAAE). He leads Hamburg’s Digital City Science team and coordinates international collaborations, including Indo-German urban development projects. He directs the WISSENSARCHITEKTUR Laboratory , focusing on knowledge synthesis for urban innovation. Courses taught at HCU include 'Knowledge Architecture', 'Digital City Science', and 'Smart City Technologies'.

• Networking and Communications
• Blockchain Technology
• Smart Grids and Energy Systems
• +۵ مورد دیگر

Roberto Rojas-Cessa is a Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT), affiliated with the School of Applied Engineering and Technology. His research focuses on networking, blockchain applications in smart cities, energy systems, wireless communications, and high-performance switching. He has led multiple National Science Foundation (NSF)-funded projects, including initiatives on controlled delivery power grids and next-generation network quality of service. Notably, his work explores blockchain for energy metering, sustainable environmental measures, and smart grid optimization. He is also a Senior Member of the National Academy of Inventors (2024). His research interests span network protocols, distributed systems, and IoT applications. Recent projects include AMI-Chain (a blockchain-based power metering system) and studies on indirect free-space optical communications for vehicular networks. He has contributed to advancements in medium access control for crowded networks and energy packet switches for digital microgrids. Rojas-Cessa’s work integrates machine learning for network management and flood impact analysis. He has developed tools for time-lapse analysis of urban data and agent-based models to evaluate electric vehicle adoption. His publications emphasize scalability, security, and efficiency in both traditional and emerging technologies. Grants: Collaborative Research on Power Grids (NSF, 2016–2018), NeTS-NR: Quality of Service Networks (NSF, 2004–2008) Awards: Senior Member of the National Academy of Inventors (2024) His lab activities include experimental evaluations of digital microgrids and blockchain implementations for carbon footprint tracking. He actively collaborates on projects addressing emergency communications and resilient energy distribution systems.

• Electronic Design Automation (EDA)
• VLSI Circuit Design
• Algorithmic Aspects of Chip Design
• +۵ مورد دیگر

Martin D. F. Wong is the Edward C. Jordan Professor of Electrical and Computer Engineering and Executive Associate Dean of the College of Engineering at the University of Illinois. A pioneer in Electronic Design Automation (EDA) and VLSI circuit design, his work has significantly advanced chip design methodologies through algorithmic innovations. He holds over 450 publications and has been recognized with prestigious awards, including the ASP-DAC Most Frequent Author Award and the inaugural EDA Research Award from Synopsys. Wong’s research focuses on EDA, computational lithography, and 3D integrated circuits. He has mentored 48 PhD students, many of whom have excelled in academia and industry. His contributions include foundational frameworks like OpenILT (Inverse Lithography Technique) and Xplace (global placement). He is an IEEE Fellow and has served as a Distinguished Lecturer for the IEEE Circuits and Systems Society. Key Achievements: Recipient of six best-paper awards in chip design and routing optimization Developed GPU-accelerated tools for static timing analysis and global routing Advances in machine learning applications for EDA, including congestion prediction and hotspot detection Wong’s legacy combines technical innovation with mentorship, shaping the future of semiconductor design and manufacturing.

Bradley Hayesمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Bradley Hayes is an Associate Professor in the Department of Computer Science at the University of Colorado Boulder, affiliated with the College of Engineering and Applied Science. He leads the Collaborative AI and Robotics (CAIRO) Lab, focusing on creating autonomous robots that collaborate effectively with humans through advances in explainable AI, machine learning, and human-robot interaction. His prior research includes foundational work at MIT's Interactive Robotics Group and Yale's Social Robotics Lab. Research interests span Explainable AI, Learning from Demonstration, Hierarchical Reinforcement Learning, Computer Vision, Natural Language Processing, and Cognitive Science. His work emphasizes making human-robot teams more efficient and safe through innovations like emotionally expressive robotic motion, socially aware navigation, and AR-based collaboration tools. Key contributions include techniques for robust robotic exploration, generative occupancy mapping, and systems for improving human trust through predictable robot behavior. His work has been applied to teleoperation training, surgical assistance, and space exploration scenarios. Grants and partnerships support development of assistive robotic canes and AR interfaces for collaborative tasks. Lab activities emphasize translating theoretical advancements into practical systems through close collaboration between researchers, engineers, and end-users. Education efforts include developing foundational robotics curricula addressing autonomy, perception, and control systems.

Stephen Lee-Urbanمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Game AI
• +۳ مورد دیگر

Stephen Lee-Urban is a Teaching Associate Professor in the Department of Computer Science & Engineering at Lehigh University, affiliated with the Rossin College of Engineering. He holds a Ph.D., M.S., and B.S. in Computer Science and Engineering from Lehigh University, all completed with summa cum laude distinction. His research focuses on fundamental and applied artificial intelligence, machine learning, game AI, cognitive systems, and automated planning. He has contributed to innovative projects such as HuManIC (human-machine interpretive control), CORA (cognitive systems framework), and crowdsourced narrative generation systems. His academic career includes significant work in cybersecurity through intelligent agent modeling of malware, as well as contributions to game AI for strategy games and military training simulations. Notable awards include summa cum laude honors for all three of his university degrees. Lee-Urban's scholarly output spans over 20 publications since 2000, with recent emphasis on AI applications in collaborative storytelling, adaptive planning systems, and human-computer interaction. His research integrates machine learning techniques with sociocultural analysis, crowd-powered content creation, and hierarchical task networks. Current work explores autonomous systems capable of leveraging crowd intelligence for generating interactive narratives and optimizing military training scenarios. While no specific grants or advising roles are listed, his interdisciplinary approach bridges computer science with game design, cybersecurity, and cognitive modeling.

• Perceptually guided graphics
• Virtual characters and crowds
• Virtual reality
• +۴ مورد دیگر

Cathy Ennis is an Assistant Professor in the Department of Computer Science at Maynooth University, Ireland, specializing in perceptually guided graphics and virtual reality. She is actively involved in research and teaching, with affiliations to the ADAPT Centre and D-REAL SFI Centre for Research Training. Education: BEng in Electronic Engineering, Maynooth University MSc in Cognitive Science, University College Dublin PhD in Computer Graphics, Trinity College Dublin PG Dip in Higher Education Teaching and Learning, DIT Research Interests: Dr. Ennis's research centers on creating realistic virtual humans and crowds, exploring multisensory perception in VR, and applying these technologies in serious games and interactive systems. Her work integrates AI, HCI, and immersive technologies to enhance user engagement and learning. Her recent publications reflect a strong focus on virtual character realism, VR-based education, and machine learning applications in animation and interaction. Notable themes include speech-animation realism, cultural VR experiences, and reinforcement learning for character control. Scientific Awards: Best Paper Award, IEEE VR 2022 Teaching and Supervision: Dr. Ennis currently teaches CS401 (Machine Learning and Neural Networks) and CS261 (Multimedia Technology). She is actively seeking PhD students and collaborators interested in VR, games, and virtual characters, particularly using machine learning for gesture generation and engagement. Labs and Teams: She is a Funded Investigator with the ADAPT Centre and D-REAL SFI Centre for Research Training, contributing to interdisciplinary research in AI, HCI, and immersive technologies.

• Nanoscale Transport Phenomena
• Fluid Mechanics
• High-Performance Computing
• +۵ مورد دیگر

Dr. Gerald Wang is an Assistant Professor in Civil and Environmental Engineering at Carnegie Mellon University with courtesy appointments in Chemical Engineering and Mechanical Engineering. He leads the M5 Lab (Mechanics of Materials via Molecular and Multiscale Methods), focusing on nanoscale mechanics using computational approaches to solve civil engineering challenges related to water-energy systems, material resilience, and sustainable polymers. Education: Ph.D. in Mechanical Engineering and Computation, MIT (2019) S.M. in Mechanical Engineering, MIT (2015) B.S. in Mechanical Engineering, Mathematics & Physics, Yale University (2013) His research integrates statistical physics, fluid mechanics, and high-performance computing to investigate nanoscale structural and transport phenomena. Key areas include climate-resilient infrastructure, energy-water nexus solutions, and nanoscale thermal transport in materials. Recent work explores molecular-scale separation processes and recyclable polymer design using advanced simulation techniques. Publication trends demonstrate consistent focus on nanoscale transport mechanisms, computational method development, and interdisciplinary applications from materials science to urban systems. Articles frequently bridge molecular dynamics with macro-scale engineering problems. Awards: Scott Institute Seed Grant for clean energy research CMU Celebration of Education Award for teaching excellence Current projects include NSF-funded work on nanoscale slip phenomena and polymer upcycling collaborations. The M5 Lab develops open-source simulation tools and maintains active industry partnerships in advanced materials.

• Urban Morphology
• Urban Planning
• Space Syntax
• +۷ مورد دیگر

Meta Berghauser Pont is a Professor of Urban Morphology and Urban Planning at Chalmers University of Technology. She leads the Spatial Morphology Group (SMoG), focusing on quantitative analysis of urban form, space syntax, and design theory. Key research themes: urban density, sustainable cities, social-ecological systems, pedestrian movement modeling Authored the 2023 book Spacematrix: Space, Density and Urban Form , redefining density metrics Her work bridges analytical urban morphology with practical urban planning applications, particularly in noise/air quality management, transport infrastructure, and digital twin city modeling. She manages pedagogical development for architecture programs at Chalmers. Active projects include: Digital Twin Cities Centre (EU/VINNOVA) Sustainable Urban Form (Formas) Green Infrastructure Integration (Mistra Urban Futures) Multi-scale Climate Proofing (VINNOVA) Urban Design Calculator (Naturvårdsverket) Her lab develops open-source tools like the Place Syntax Tool (PST) for morphological analysis of cities.

Elham Delzendehمشاهده پروفایل

دانشیار

• Digital Built Environment
• Building Information Modelling (BIM)
• Sustainable Architecture
• +۳ مورد دیگر

Dr. Elham Delzendeh is an Associate Professor and College Academic Lead for Employability at the College of Built Environment, Birmingham City University. She specializes in Digital Built Environment and Technological Design, with research emphasizing cutting-edge digital technology, building energy performance, occupant behavior, and Building Information Modelling (BIM). Her academic background includes a PhD in Architecture and Built Environment, an MSc and BSc in Architectural Engineering. PhD in Architecture and Built Environment MSc in Architectural Engineering BSc in Architectural Engineering Her research bridges practical and academic expertise in design and construction, focusing on occupant behavior analysis, energy-efficient building simulation, and Industry 4.0 technologies like digital twins. She has contributed extensively to energy performance modeling, occupant-driven systems, and sustainable urban interventions. Selected scientific awards include Fellow of the Higher Education Academy (FHEA) . She has supervised postgraduate research in digital built environments and occupant behavior, integrating real-world industry insights into her pedagogy.

Jennifer Nelsonمشاهده پروفایل

مدرس ارشد

• Virtual Reality
• Human-Machine Interaction
• Human Movement Behavior
• +۳ مورد دیگر

Jennifer Nelson is a Senior Lecturer in the Department of Earth, Atmospheric, and Planetary Sciences at Purdue University, located in West Lafayette, Indiana. Her office is situated in HAMP 4284. She is affiliated with the College of Science and maintains active research in human-virtual interaction systems. Her research focuses on understanding how humans interact with virtual environments, particularly in crowded scenarios. Key themes include analyzing avoidance behaviors in response to virtual characters, studying the effects of rendering styles on human movement, and developing frameworks to model human-crowd interactions in immersive virtual reality settings. Recent work emphasizes the impact of virtual character dynamics (speed, density, direction) on human navigation patterns, as well as perceptual factors like gesture recognition and proximity effects. Her studies often involve creating experimental frameworks to quantify behavioral responses under varying virtual conditions. No scientific awards or grants are explicitly listed in the provided materials. While no advising information is available, her publications suggest involvement in collaborative research teams focused on virtual reality applications. She contributes to Purdue's initiatives in computational behavioral studies and immersive technology development.

Nirav Ajmeriمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Multiagent Systems
• Intelligent Autonomous Systems
• +۷ مورد دیگر

Dr. Nirav Ajmeri is a Senior Lecturer in Artificial Intelligence at the University of Bristol's School of Computer Science. He holds a PhD and MS from North Carolina State University and a BE from Sardar Vallabhbhai Patel Institute of Technology. His work focuses on socially intelligent multiagent systems, ethics in AI, privacy-preserving technologies, and socio-technical systems design. Education: PhD and MS in Computer Science, North Carolina State University B.E. in Computer Engineering, Sardar Vallabhbhai Patel Institute of Technology Research Interests: Dr. Ajmeri explores ethical AI frameworks, normative multiagent systems, privacy in socio-technical environments, and human-agent collaboration. His work bridges technical innovation with societal impacts, focusing on fairness, accountability, and transparency in autonomous systems. Recent Trends in Publications: Recent work emphasizes ethical governance in AI (Rawlsian fairness, macro ethics), graph-based social network modeling, and multiagent simulations of polarization. He also investigates practical applications like misuse audits in mobile apps and cybersecurity hygiene promotion through normative systems. Awards: Best Blue Sky Paper Award at AAMAS 2020 Most Influential Paper Award (2024) for 2013 JSS publication on agile requirements Advising & Grants: Supervises PhD students in AI ethics, interactive AI, and cybersecurity. Co-developed the UKRI AI for Collective Intelligence Hub and contributed to national AI strategy frameworks. Engaged in tool development (e.g., Coco ASP implementation for norm reasoning). Labs & Teams: Active in Bristol's Interactive AI research group, leading projects on ethical AI design and multiagent system dynamics. Collaborates with interdisciplinary teams across computer science, social sciences, and policy domains.

Anne Templetonمشاهده پروفایل

مدرس ارشد

• Crowd Psychology
• Social Identity Theory
• Emergency Response
• +۵ مورد دیگر

Anne Templeton serves as a Senior Lecturer in Social Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. She holds a UKRI Future Leaders Fellowship and leads the research group Identities and Collective Behaviour . Her academic journey includes a PhD from Sussex, MSc from Surrey, and MA (hons) from St Andrews. Her research centers on applying social identity theory to crowd psychology, particularly examining how group dynamics influence safety during emergencies and mass events. Key focus areas include: psychological crowd modeling, first responder communication strategies, and incorporating social identities into evacuation simulations. She develops behavioral interventions to improve public adherence during crises through computational modeling and virtual reality experiments. Her 15 most recent publications reveal strong thematic consistency across emergency management, crowd dynamics, and social identity applications. Recent work emphasizes high-rise evacuation protocols, tunnel fire egress, COP26 protest support mechanisms, and bystander CPR interventions. The research demonstrates interdisciplinary integration of psychology, computational modeling, and public safety practice. Scientific Recognition: UKRI Future Leaders Fellowship (2022) Research Leadership: Principal Investigator for ESRC, DCMS, and Chief Nursing Office grants totaling over £1.8 million, including the £1.377m UKRI project on first responder communication strategies. Current supervision of four PhD students (Waleed Alhajri, Sam Vo, Sayaka Hinata, Kayleigh Smith). Her knowledge exchange extends through government advisory roles including the Scottish Government COVID-19 Behavioural Insights team (2021-2022), UK Department of Digital, Culture, Media and Sport Science Board (2021), and Sports Grounds Safety Authority consultation (2020). Media engagements feature BBC, Reuters, and The Conversation coverage of Hajj crowd safety and stadium atmosphere research.

Emily Berglundمشاهده پروفایل

استاد

• Water Resources Engineering
• Socio-Technical Systems
• Agent-Based Modeling
• +۳ مورد دیگر

Emily Berglund is a Professor and Associate Head for Faculty Development in the Department of Civil, Construction, and Environmental Engineering at North Carolina State University. She holds a Ph.D. (2005), M.S., and B.S. in Civil Engineering from North Carolina State University and the University of Kentucky, respectively. Her research focuses on geospatial analytics, agent-based modeling of socio-technical systems, and optimizing infrastructure resilience, particularly in water resources and solar power systems. Her work integrates complex adaptive systems modeling with engineering approaches to address challenges in water management, including lead contamination, dynamic pricing, and pandemic-related demand shifts. She has led projects funded by the EPA, NSF, and others, totaling over $2 million. Notable achievements include developing frameworks for lead risk prediction and citizen science initiatives to address environmental disparities. Dr. Berglund’s publications span journals like Proceedings of the National Academy of Sciences and Water Resources Research , emphasizing equity in sustainability science and socio-technical system dynamics. She mentors students on technology adoption and infrastructure resilience, advocating for interdisciplinary solutions to global water challenges. Education: Ph.D./M.S. Civil Engineering (NC State), B.S. Civil Engineering (University of Kentucky) Grants: Includes $1.2M for pandemic water system modeling and $540K for consumer-centric lead detection Labs/Teams: Active in the Fitts-Woolard Hall research group and collaborates on initiatives like Crowd the Tap citizen science

• Computer Science
• Virtual Reality
• Character Animation
• +۶ مورد دیگر

Núria Pelechano Gómez is a Professor at the Universitat Politècnica de Catalunya (BarcelonaTech) , affiliated with the Faculty of Informatics of Barcelona (FIB) and the Department of Computer Science (CS) . Her work focuses on Virtual Reality , Crowd Simulation , and Character Animation , with a particular emphasis on immersive environments and user interaction. Education: Master's Degree in Innovation and Research in Computer Science (2012) Degree in Computer Engineering (2010) Master's Degree in Computing (2006) Her research explores the integration of Virtual Reality with Artificial Intelligence to enhance user experiences through dynamic crowd modeling, realistic animations, and adaptive navigation techniques. Recent projects highlight her expertise in Motion Matching , Immersive Simulation , and Physics-Based Animation . Key trends in her publications include: Advancements in Virtual Environments and 3D Modeling . Applications of Machine Learning in Navigation Interfaces . Development of Realistic Crowd Behavior and Social Interaction Systems in VR. Focus on User-Centric Design and Embodiment Techniques . Núria has supervised numerous students on topics ranging from Emergency Scenario Modeling to MR Application Development for immersive systems, contributing to the evolution of Immersive Simulation and Game Development methodologies.