جست‌وجوی استاد و پژوهشگر

Meng Mengمشاهده پروفایل

مدرس ارشد

• Sustainable Transportation Planning
• Travel Behavior Analysis
• Network Modeling
• +۳ مورد دیگر

Meng Meng is a Senior Lecturer (equivalent to Associate Professor) at the University of Bath's Department of Information, Decisions & Operations within the College of Engineering, Design and Physical Sciences. She serves as Management Director of Studies for the MSc in Business Analytics and leads the Smart Warehousing and Logistics Systems research group under the Centre for Business, Organisations and Society (CBOS). Her roles include teaching, research leadership, and academic program management. She holds a dual academic position in the IAAPS (Interdisciplinary Area of Academic Programs and Services) and serves as External Examiner for the University of Westminster's transportation-related programs. Meng's research focuses on sustainable transportation planning, travel behavior analysis, network modeling, and logistics optimization, with recent emphasis on mobility sharing services and smart logistics systems. She actively contributes to UN Sustainable Development Goals related to sustainable cities (Goal 11) and climate action (Goal 13). Meng has secured significant research funding through projects like 'People-Led Net Zero' (UK Research & Innovation, £2.5M), 'Collaborative AI Solutions to Reduce Supply Chain Emissions' (EPSRC), and 'Infrastructure Planning for Transportation Electrification'. Her work bridges theoretical models with practical applications, leveraging machine learning, simulation, and optimization techniques. Her publications (65+ articles) span high-impact journals like Sensors and International Journal of Production Economics , focusing on topics like traffic flow prediction, bike-sharing optimization, and EV market dynamics. She collaborates internationally with institutions in Singapore, China, and Europe, reflecting her global research network. Meng's advisory roles include supervising doctoral candidates in transportation systems and logistics, and she actively participates in interdisciplinary initiatives combining engineering, data science, and social sciences to address urban mobility challenges.

Rafael Bailoمشاهده پروفایل

استادیار

• Numerical Analysis
• Partial Differential Equations (PDEs)
• Computational Science
• +۳ مورد دیگر

Rafael Bailo is an Assistant Professor of Mathematics at the Eindhoven University of Technology , affiliated with the Centre for Analysis, Scientific Computing and Applications . His primary research focuses on the numerical analysis of kinetic equations and partial differential equations (PDEs), with additional interests in collective dynamics, self-organization, and agent-based modeling. He teaches courses such as Advanced Calculus I and Continuous Optimization . Department: Mathematics and Computer Science His research explores computational methods for complex systems, including uncertainty quantification in kinetic models, pedestrian dynamics with congestion effects, and consensus-based particle methods. Recent work emphasizes the development of numerical schemes for fractional diffusion, plasma physics simulations, and aggregation-diffusion equations. He collaborates internationally on topics like particle-in-cell methods and software tools for interacting particle systems (e.g., the CBX package). Key trends in his publications include advancing finite-volume schemes for nonlinear PDEs, analyzing structural properties of kinetic equations, and bridging theoretical analysis with computational implementation. His work often addresses challenges in preserving physical properties (e.g., positivity, energy dissipation) in numerical solutions. Bailo advises students on topics related to PDEs and computational methods but specific supervisee names are not listed. His contributions span applied mathematics, computational physics, and interdisciplinary modeling, with applications in plasma dynamics, crowd movement, and materials science.

Dan Davisonمشاهده پروفایل

دانشیار

• Control Systems
• Linear and Nonlinear Control
• Time-Delay Systems
• +۵ مورد دیگر

Dan Davison is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on theoretical and applied control systems, including linear/nonlinear control, time-delay systems, multi-agent control schemes, and psychological dynamics modeling. He emphasizes application-driven research to bridge theory and real-world systems. Education: PhD, University of Michigan, United States (1997) MASc, University of Toronto, Ontario (1994) BASc, University of Toronto, Ontario (1992) Research Interests: Dr. Davison explores control systems in both technical and social contexts. Key areas include: - Performance limitations in feedback systems - Multi-agent systems for crowd stabilization - Modeling cognitive dissonance and suggestibility in social psychology - Engine and aircraft control systems. His work applies control theory to unconventional domains like psychological systems, emphasizing practical applications. Teaching: Recently taught courses such as ECE 190 (Engineering Profession and Practice), ECE 481 (Digital Control Systems), and MATH 213 (Signals, Systems, and Differential Equations). Served as Associate Dean of Undergraduate Teaching in the ECE department from 2020–2022. Advising & Grants: Currently not accepting graduate students. His research has explored behavioral modification via reward systems, decentralized control of large-scale systems, and tumor-tracking in radiotherapy. Labs/Teams: Collaborates on interdisciplinary projects integrating control theory with social sciences and engineering applications.

Fan Hongمشاهده پروفایل

استادیار

• Biomolecular Engineering
• Nucleic Acid Nanotechnology
• Spatial Multi-omics
• +۴ مورد دیگر

Fan Hong is an Assistant Professor in the Department of Chemistry at the University of Florida. His research focuses on developing biomolecular tools using nucleic acids to decode and regulate cellular functions at the molecular and tissue scales. He holds a Ph.D. from Arizona State University's Biodesign Institute and completed postdoctoral training at Harvard University’s Wyss Institute. Education: B.S., Huazhong University of Science and Technology; Ph.D., Arizona State University; Postdoc, Harvard University Labs: Hong Lab (specializing in nucleic acid-based technologies) Research interests include DNA/RNA nanotechnology, spatial multi-omics, synthetic biology, and molecular dynamics modeling. His work bridges in vitro, in vivo, and in silico approaches to address grand challenges in biology and medicine. Recent studies emphasize programmable DNA-based sensors, antiviral RNAs, and thermal-plex imaging techniques. Advising and grants involve training in nucleic acid engineering and collaborative projects with labs like the Yin Lab and Yan Lab. His Hong Lab focuses on advancing biomolecular tools for precision medicine and diagnostics.

• Geospatial Information Systems
• 3D GIS
• BIM/GIS Integration
• +۷ مورد دیگر

Professor Sisi Zlatanova is a Professor at the University of New South Wales (UNSW), affiliated with the School of Arts, Design & Architecture. She holds a PhD in 3D GIS for Urban Development from Graz University of Technology and has held academic positions globally, including at ITC (Netherlands) and Delft University of Technology. Her research focuses on 3D spatial modeling, BIM/GIS integration, emergency response systems, and indoor navigation. Key projects include UNSW precinct modeling, indoor scanning for emergency response, and voxel-based visibility analysis for safety. Her research activities span over 300 publications and 23 edited books, with notable works on 3D GIS applications and disaster management. She leads international initiatives like ISPRS TC IV (Spatial Information Science) and OGC SWG IndoorGML. Her work emphasizes practical applications in urban resilience, sustainable design, and crisis management. Professor Zlatanova's contributions include developing frameworks for smart indoor models, integrating BIM with GIS for emergency response, and leveraging LiDAR and UAV technologies for urban analysis. She collaborates extensively with global organizations, advancing geospatial solutions for urban challenges.

Jonas Meliمشاهده پروفایل

پژوهشگر

• Railway Station Accessibility
• Crowd Management
• Mode Choice Modelling
• +۳ مورد دیگر

Jonas Meli is a doctoral researcher at ETH Zürich , affiliated with the Department of Civil, Environmental and Geomatic Engineering (D-BAUG) and the Institute for Transport Planning and Systems . His work focuses on railway station accessibility, crowd management, and mode choice modeling, combining empirical data analysis with transport simulations. Education: MSc in Spatial Development and Infrastructure Systems (2020-2022) and BSc in Civil Engineering (2016-2020) from ETH Zürich Professional Experience: Technology Expert in Crowd Management at SBB AG (2023-2024) and Intern at SBB AG (2022-2023) His research explores perceived accessibility of rail networks, pedestrian crowd dynamics using tracking data, and agent-based transport simulations for on-demand services. Articles highlight applications of fundamental diagrams to station design and socioeconomic variables in mobility decisions. Jonas collaborates with researchers like Eva Heinen and Thomas Bernauer , contributing to conferences such as the Swiss Transport Research Conference (STRC) and journals like Collective Dynamics . His work emphasizes data-driven improvements for sustainable transport infrastructure .

Leonel Aguilar Melgarمشاهده پروفایل

مدرس

• Computational Social Science
• Human-Computer Interaction
• Data Science
• +۲ مورد دیگر

Leonel Aguilar Melgar is a Lecturer in the Department of Humanities, Social and Political Sciences at ETH Zürich, where he researches computational social science and human-computer interaction. His work develops AI/ML systems to model social phenomena, with applications in urban dynamics, environmental psychology, and digital health. Aguilar's research bridges data science and social systems through: Agent-based modeling of collective behavior Human-building interaction studies Digital support systems for public health Reproducible experimental frameworks He contributes to open-source projects including Easeml/AutoML for accessible machine learning and computational platforms for social simulation. Aguilar's publications demonstrate innovative approaches to studying wayfinding behaviors, evacuation dynamics, and parenting interventions in low-resource settings. Recent work advances digital twin technology and VR-based experimental methods. Honors include recognition as MIT Technology Review Innovator under 35 for Latin America (2020).

Henry Kudzanai Dambanemuyaمشاهده پروفایل

عضو هیئت علمی

• Computational Social Science
• Network Science
• Social Computing
• +۶ مورد دیگر

Dr. Henry Kudzanai Dambanemuya is an Assistant Instructional Professor in the Masters in Computational Social Science (MACSS) program at the University of Chicago. His teaching focuses on computational methods, research design, and elective topics like collective intelligence and digital peacebuilding. He holds a multidisciplinary background spanning computer science, communication, and international peace studies, leveraging software engineering expertise from roles at Microsoft and other tech firms. Education B.A. in Computer Science and Conflict Studies (DePauw University) M.A. in International Peace Studies (University of Notre Dame) M.Sc. and Ph.D. in Technology and Social Behavior (Northwestern University) Research Interests His work integrates Big Data mining, machine learning, and network science to study collective intelligence in complex systems. Key areas include: - Crowdfunding dynamics and signaling mechanisms - Online discourse analysis and influence networks - Humanitarian aid monitoring via multilingual datasets (HumVI) - Stress detection using wearable biosensors (HealthSense) - Peace process implementation through network analysis Grants & Advising While specific grants aren't listed, his industry collaborations (RICS Software, Dataminr) and academic partnerships (ACM, IEEE) suggest active funding. He advises MACSS students on balancing academic and industry career paths. Labs & Teams Active in computational social science research communities, with ongoing collaborations at WebSci, CHI, and ICWSM conferences. Maintains a public research portal for current projects.

• Kinetic Theory
• Boltzmann Equation
• Direct Simulation
• +۳ مورد دیگر

Dr. Livio Gibelli is Senior Lecturer in Mechanical Engineering at the University of Edinburgh's School of Engineering, specializing in kinetic theory and multiscale thermofluids. He holds a PhD in Chemical Engineering from Nanjing University of Technology and conducts research through the Multiscale Thermofluids Research Institute. His primary research explores: Kinetic theory applications to rarefied gas dynamics and nanoscale flows Boltzmann equation solutions for nonequilibrium systems Multiscale modeling approaches coupling molecular and continuum methods Behavioral crowd dynamics and evacuation modeling Publications demonstrate strong focus on gas-surface interactions, nanoscale transport phenomena, and social crowd modeling, with recent work advancing simulation techniques for industrial applications. Research projects include EPSRC-funded Multiscale Simulation of Rarefied Gas Flow for Engineering Design (2021-2024). Supervises PhD candidates in fluid dynamics and coordinates collaborations through the James Clerk Maxwell Building laboratory facilities.

Scott E Pageمشاهده پروفایل

استاد

• Diversity in Complex Systems
• Collective Intelligence
• Formal Modeling
• +۴ مورد دیگر

Scott E. Page is the Leonid Hurwicz Collegiate Professor of Complex Systems, Political Science, and Economics at the University of Michigan , where he is also affiliated with the Center for Political Studies and the Center for the Study of Complex Systems. Additionally, he serves as an external faculty member of the Santa Fe Institute , and held visiting roles at Caltech and UCLA. His academic journey includes a BA in Mathematics from the University of Michigan (1985), MA in Mathematics from the University of Wisconsin (1988), and a PhD in Managerial Economics and Decision Sciences from Northwestern University’s Kellogg School (1993). Page’s research focuses on the multifaceted roles of diversity in complex systems , exploring how diversity drives productivity, robustness, and innovation. His work spans disciplines including economics, political science, computer science, and public health, with notable contributions to collective intelligence , institutional design, and the empirical analysis of diversity’s impact. He is the co-founder and co-editor of the interdisciplinary journal Collective Intelligence . His awards and honors include the University of Michigan’s Distinguished University Professorship (2019), election to the American Academy of Arts and Sciences and the National Academy of Science, and fellowships from the Guggenheim Foundation and Stanford’s Center for Advanced Study in the Behavioral Sciences. His book awards include a Choice Award for The Model Thinker , an Axios Award for The Diversity Bonus , and recognition for The Difference as a Princeton Classic (2025).

Youssef Harrathمشاهده پروفایل

دانشیار

• Optimization Algorithms
• Scheduling Algorithms
• Cloud Computing
• +۵ مورد دیگر

Youssef Harrath is an Associate Professor at The Beacom College of Computer & Cyber Sciences, Dakota State University since July 2023. He previously held academic roles at institutions including the University of Bahrain (13 years), University of Hail (Saudi Arabia, 5 years), and several French institutions. His research focuses on optimization algorithms, scheduling systems, and smart technologies. He has been an IEEE Senior Member since 2019 and served in leadership roles within the IEEE Bahrain Computer Society. Education: Ph.D. in Computer Science, Franche-Comté University (France, 2003) M.Sc. in Operational Research, Polytechnic National Institute (Grenoble, 2000) B.Sc. in Applied Mathematics & Computer Science, Science University (Monastir, Tunisia, 1998) Research Interests: Dr. Harrath leads the 'Intelligent Systems and Optimization Solutions' research team at the University of Bahrain. His work spans: Optimization algorithms for transportation and hazardous waste management Genetic algorithm applications in scheduling and production systems IoT-based smart systems (parking, transportation) Multi-objective metaheuristics for complex problems Publications: His 50+ publications address topics like drone routing, bin-packing optimization, and cloud computing. Recent work includes AI-driven solutions for crop yield improvement and healthcare applications. Awards: IEEE Senior Member (2019) Community Engagement: Organizes international faculty social events, soccer tournaments, and manages community discussion groups.

Stanislav Milkov Chankovمشاهده پروفایل

مدرس

• Sustainable Consumption Patterns
• Supply Chain Management
• Environmental Sustainability
• +۳ مورد دیگر

Stanislav Milkov Chankov is a Distinguished University Lecturer in Supply Chain Management at the School of Business, Social & Decision Sciences, Constructor University in Bremen, Germany. He holds a Ph.D. in International Logistics from Jacobs University Bremen, complemented by advanced qualifications including a Postgraduate Certificate in Academic Practice from Queen Mary University of London. His professional journey includes over a decade in academic roles at Jacobs University, where he also served as a Research Associate and Teaching Assistant. He has extensive industry experience with organizations like Daimler AG and Airbus Operations GmbH. Dr. Chankov’s research focuses on sustainable consumption patterns, particularly in logistics and supply chain management. Key areas include pro-environmental consumer behavior, sustainable last-mile delivery solutions, and the application of agent-based modeling to analyze crowd logistics systems. His work bridges theoretical frameworks like the Theory of Planned Behavior with practical interventions to encourage eco-friendly choices in e-commerce and transportation. His publications span topics such as drone integration in public transport, hyperloop networks as sustainable alternatives, and the environmental impact of fashion e-commerce returns. He has received notable accolades, including the Teacher of the Year Award (2022 and 2018) and Staff Member of the Year Award (2018) at Jacobs University. His leadership roles include Chair of the BSc Program in Industrial Engineering & Management and membership in the Equality, Diversity, and Inclusion Committee. Chankov’s teaching portfolio includes courses on circular economy, supply chain engineering, and logistics lab practices. His research consistently emphasizes interdisciplinary approaches to address sustainability challenges in modern supply chains, with a focus on balancing economic, environmental, and social dimensions.

• Virtual Reality (VR)
• Computer Graphics
• Human-Computer Interaction
• +۳ مورد دیگر

Alejandro Beacco Porres is a Researcher at the Universitat Politècnica de Catalunya (UPC) in the Department of Computer Science, affiliated with the Barcelona School of Informatics (FIB). He is a core member of the ViRVIG research group focusing on Virtual Reality, Real-Time Graphics, and Crowd Simulation. His work bridges computer graphics, human-computer interaction, and clinical applications of VR. Research interests include real-time crowd rendering techniques, embodied VR experiences, and applications in mental health. Notable contributions include QuickVR toolkit development, studies on virtual body ownership effects, and VR-based therapy for anxiety and psychosis. He has collaborated extensively with Prof. Mel Slater and international teams on projects funded by Horizon Europe and Spanish National Research Programs. Publications span high-impact journals like Scientific Reports, IEEE Transactions, and The Lancet Psychiatry. His work explores both technical advancements (e.g., avatar reconstruction from images) and socio-ethical implications of VR. Active in both academia and industry, he has led projects addressing cultural heritage visualization and medical training simulations. Education includes a PhD in Computer Science from UPC (2014), with dissertation on real-time crowd simulation. He maintains strong ties with the European Association for Computer Graphics (Eurographics) through conference organizing and peer review activities.

Chun Wangمشاهده پروفایل

استاد

• Sustainable Mobility Systems
• Eco-friendly Transportation Networks
• Computational Social Simulation
• +۴ مورد دیگر

Dr. Chun Wang is a Professor and Director of the Concordia Institute for Information Systems Engineering at Concordia University. His research focuses on Sustainable, Smart, and Socially-Oriented Mobility Systems, emphasizing eco-friendly solutions that enhance community well-being and reduce environmental impact. His work integrates computational social simulation, game theory, and multiagent systems to address challenges in electrification, decarbonization, and supply chain optimization. Key research areas include mobility systems design, scheduling algorithms, two-sided matching mechanisms, and e-supply chain management. His interdisciplinary team develops frameworks for ride-hailing systems, crowd-sourced delivery, and electric vehicle charging networks, with an emphasis on privacy preservation and uncertainty management. Recent publications (2021–2023) highlight advancements in auction-based scheduling, data-driven optimization for car-sharing, and privacy-preserving matching mechanisms. The lab’s work bridges theoretical models with practical applications in smart cities and sustainable infrastructure. Dr. Wang leads the Sustainable, Smart, and Socially-Oriented Mobility Systems Lab, fostering collaborations across engineering, computer science, and urban planning disciplines. His contributions span transportation networks, energy systems, and healthcare operations, with a focus on scalable and socially responsible solutions.

• Computer Science
• Multi-agent Systems
• Crowd Simulation
• +۴ مورد دیگر

Tomer Weiss is an Assistant Professor in the Department of Informatics at New Jersey Institute of Technology. His research focuses on crowd simulation, multi-agent systems, and position-based dynamics, contributing to advancements in computer graphics and interactive techniques. Research Interests: Crowd Simulation Multi-agent Systems Position-based Dynamics Human-Agent Interaction Motion Perception Key Article Trends: Recent publications highlight work in foveated animations, motion dynamics learning, and corridor-based path planning. His studies integrate pixel density optimization, sparse-to-dense crowd modeling, and crowdsourced evaluation methods. Collaborations: Regularly collaborates with researchers like M. Kallmann and R.K. Dos Anjos, with applications in virtual reality and autonomous agent navigation.