جست‌وجوی استاد و پژوهشگر

Timothé Krauthمشاهده پروفایل

پژوهشگر

• Aerospace Engineering
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Dr. Timothé Krauth is a researcher at Zurich University of Applied Sciences (ZHAW) School of Engineering within the Aviation Infrastructure department. Holding a Ph.D. in Applied Mathematics from ISAE-Supaero (2021-2024), his work focuses on applying machine learning techniques to air traffic management challenges. He actively contributes to research projects like "Achieving Human-Machine Collaboration with Artificial Situational Awareness" and "Making I-CNS A Reality" for integrated aviation systems. Ph.D. in Applied Mathematics, ISAE-Supaero (2021-2024) His research interests center on aerospace engineering and artificial intelligence, specializing in trajectory modeling, collision risk estimation, and uncertainty quantification in air traffic systems. He has developed deep learning frameworks for flight path analysis and safety prediction. Krauth's publications demonstrate expertise in: Collision risk modeling using variational autoencoders Deep generative modeling for aviation safety Large-scale trajectory dataset creation Adaptive importance sampling techniques Mid-air collision probability assessment Terminal area traffic management As a team member in ongoing projects, he applies these methods to create safer and more efficient aviation systems through integrated communication, navigation, and surveillance technologies.

• Logistics and Supply Chain Management
• Transportation Systems
• Industrial Organization
• +۷ مورد دیگر

Luis Gerardo Onieva Gimenez serves as a Full Professor in the Department of Industrial Organization and Business Management II within the School of Engineering at the University of Seville. With a career spanning over three decades, he has established himself as a leading researcher in industrial engineering and organizational systems, directing numerous national and international research projects while contributing significantly to academic literature through books and publications. His research interests center on Logistics and Supply Chain Management, Transportation Systems, and Industrial Organization, with growing emphasis on sustainable infrastructure applications. Recent work focuses on water network management, building energy efficiency, and urban freight optimization, employing advanced methodologies including machine learning, optimization algorithms, and decision support systems. His interdisciplinary approach bridges engineering, business management, and environmental sustainability to solve complex real-world problems in transportation, manufacturing, and infrastructure management. Analysis of his publication trends reveals a strategic shift toward sustainable infrastructure solutions since 2015, with increasing integration of artificial intelligence in water management systems and energy-efficient building design. His work demonstrates consistent application of optimization techniques across domains, from port logistics to occupational safety, characterized by strong industry collaboration and practical implementation focus. Professor Onieva has secured extensive research funding through over 100 projects with national agencies (Spanish Ministry of Science), European Union programs, and regional governments. His projects frequently involve multi-institutional collaboration with industrial partners, particularly in transportation logistics, port management, and energy systems optimization. Notable initiatives include the TECNOPORT 2025 project for smart port development and water network optimization systems for municipal infrastructure. He actively contributes to the 'Ingeniería de Organización' research group, focusing on industrial engineering applications in logistics, transportation, and sustainable systems. His work extends to practical implementations through patents and industry partnerships, particularly in elevator traffic systems, port logistics optimization, and energy management solutions for buildings and water networks.

Islam El-adawayمشاهده پروفایل

استاد

• Construction Engineering
• Artificial Intelligence in Construction
• Construction Risk Management
• +۴ مورد دیگر

Islam El-adaway serves as the Hurst/McCarthy Professor and Director of the Missouri Consortium for Construction Innovation at Missouri University of Science and Technology, where he holds a faculty position in the Department of Construction Engineering. His academic leadership spans research, industry collaboration, and innovation in construction engineering practices. Dr. El-adaway's research program integrates advanced computational methods with construction management challenges, focusing on artificial intelligence applications, risk modeling, and sustainable practices. His work examines labor productivity dynamics, material price volatility, circular economy implementation, and safety optimization through machine learning, game theory, and system dynamics approaches. This interdisciplinary research bridges theoretical modeling with practical industry applications to address critical infrastructure challenges. Analysis of his recent publications reveals dominant trends in data-driven construction management, with significant emphasis on probabilistic risk modeling for price escalations, AI-enhanced productivity analysis, and circular economy integration in building practices. His work consistently connects macroeconomic indicators with project-level outcomes while advancing methodological rigor through deep learning and network analysis techniques. Hurst/McCarthy Professorship (Distinguished faculty honor at Missouri S&T) As Director of the Missouri Consortium for Construction Innovation, he leads industry-academic partnerships focused on accelerating technology adoption and solving real-world construction challenges. His consortium facilitates research translation through close collaboration with state agencies like MoDOT and industry stakeholders, emphasizing practical implementation of innovations in workforce safety, material management, and project delivery methods.

Mavromatis Stergiosمشاهده پروفایل

دانشیار

• Transportation Engineering
• Road Safety
• Vehicle Dynamics
• +۴ مورد دیگر

Mavromatis Stergios is an Associate Professor at the National Technical University of Athens (NTUA) , affiliated with the School of Civil Engineering and the Department of Transportation Planning and Engineering . His research focuses on road safety, geometric design, and vehicle dynamics, with a particular emphasis on infrastructure risk assessment and driver behavior. Role: Associate Professor Institution: National Technical University of Athens Department: Transportation Planning and Engineering His work explores critical topics such as passing sight distance , vertical curve safety , interchange ramp design , and hydroplaning thresholds . He has contributed to international projects, including the African Road Safety Observatory . The 15 most recent publications analyze safety parameters in road design, including geometric consistency , driver behavior modeling , and emergency management systems , with keywords spanning Transportation Engineering, Road Safety, and Vehicle Dynamics.

• Computer Communications
• Vehicular Networks (VANETs)
• Internet of Things (IoT)
• +۷ مورد دیگر

Alexandre J. T. Santos is Associate Professor with Habilitation in Informatics at the Informatics Department, Engineering School, University of Minho. He serves as a Senior Researcher at Centro ALGORITMI and currently leads the CCPM (Computer Communications and Pervasive Media) research line and the Computer Communications and Networks (CCN) Laboratory. Previously, he served as Associate Director of R&D Centro ALGORITMI from 2013-2016. His academic credentials include a PhD in Computer Communications from the University of Minho (1996) and Dr. habil qualification. He is an IEEE Senior Member (SM-10) from the IEEE Computer Society and participates in the IEEE Vehicular Technology Society and IEEE Communications Society. Santos holds significant international roles, including membership on the Academic Committee of the 'Magister en Redes de Datos' at Universidad Nacional de La Plata (UNLP), Argentina, and the Scientific Advisory Board of CIICIPL in Portugal. He also serves on the Scientific Committee of the MAP-Tele joint PhD Program of the Universities of Minho, Aveiro and Porto. His research focuses on computer communications, vehicular networks, and Internet-based services, with particular emphasis on safety applications for Vulnerable Road Users (VRUs). He has participated in numerous international R&D projects and authored/co-authored numerous scientific papers, including several best paper awards. As a recognized expert, Santos has served as a Project Evaluator for International and National R&D funding institutions including FP7, CHIST-ERA, and ANI. He has been a TPC member for several IEEE, ACM, and IFIP sponsored international conferences. Research Interests: Computer Communications, Vehicular Networks (VANETs), Internet of Things (IoT), Machine Learning applications, Network Security, Quality of Service (QoS) in networks, Mobile communications His recent work shows a strong focus on VRU safety through V2X communication technologies, with numerous publications on collision prediction, traffic simulation, and security frameworks for vehicular networks. His research has practical applications in intelligent transportation systems and smart city infrastructure. IEEE Senior Member (SM-10) Multiple best paper awards at international conferences h-index of 11 with 70 publications and 446 citations Santos actively mentors students and researchers, currently supervising several projects related to vehicular communications and network security. His laboratory (CCN) serves as a hub for innovative research in computer communications and networks.

• Applied Acoustics
• Vehicle Acoustics
• Environmental Noise
• +۷ مورد دیگر

Patrik Höstmad is an Associate Professor in Applied Acoustics at Chalmers University of Technology, Sweden. His work is centered on the broad domain of sound and vibration, with applications spanning vehicle acoustics, environmental noise, urban planning, and ground-borne vibrations. He is actively involved in both research and teaching, with a strong publication record and leadership roles in multiple national and international projects. Education: While specific degrees are not listed in the provided text, his extensive publication record from 2000 onwards, including a doctoral dissertation in 2005 titled "Modelling Interfacial Details in Tyre/Road Contact — Adhesion Forces and Non-Linear Contact Stiffness," indicates advanced academic training in acoustics and mechanical engineering. Research Interests: His research encompasses: Vehicle acoustics and ride comfort Environmental noise and urban sound planning Ground-borne noise from railways and infrastructure Tyre/road interaction and noise generation Aeroacoustics and high-speed train noise Human perception of sound and vibration Acoustic simulation and auralisation tools Publication Trends: His recent publications (2020–2025) focus heavily on the integration of sound and vibration in urban and automotive contexts. Topics include the development of frameworks for predicting railway noise, ride comfort in electric vs. combustion vehicles, and the use of simulation tools for urban noise visualization. Earlier work delved into detailed modeling of tyre/road contact mechanics and high-frequency sound fields. Projects & Funding: He has led or co-led 11 major research projects since 2011, funded by agencies such as the Swedish Transport Administration (Trafikverket), VINNOVA, the Swedish Research Council (VR), and the European Space Agency. These projects address pressing issues like urban noise pollution, sustainable transport, and infrastructure vibration control. Collaborations: He collaborates extensively with researchers across disciplines, including human factors engineering, fluid dynamics, architecture, and urban planning. Notable collaborators include Jens Forssén, Xiaojuan Wang, Anna-Lisa Osvalder, and Niklas Andersson.

• Pedestrian Dynamics
• Human Crowd Modeling
• Social Interaction in Physics
• +۷ مورد دیگر

Francesco Zanlungo is a Researcher in the Department of Physics and Chemistry at the University of Palermo, working within the Emilio Segrè Office. His research focuses on pedestrian dynamics, human crowd modeling, and social interaction effects in collective behavior. University: University of Palermo Department: Physics and Chemistry - Emilio Segrè Academic Rank: Researcher Zanlungo's work explores collision avoidance mechanisms, stripe formation in cross-flows, and social group dynamics using computational physics and agent-based models. He has developed cellular automaton frameworks and congestion metrics to analyze pedestrian flow. His recent publications (2020-2025) highlight trends in modeling pedestrian interactions, social norms, and density-dependent dynamics in crowds. Key subfields include collision avoidance, group behavior, computational modeling, and urban mobility optimization. He maintains regular office hours at Viale delle Scienze 18, available Tuesday and Wednesday afternoons. His research contributes to understanding how social interactions shape collective movement patterns and informs crowd management strategies.

• Computational Fluid Dynamics
• Aerodynamic Design
• Ship Hull Reconstruction
• +۴ مورد دیگر

Nikolos Ioannis serves as a Professor at the School of Production Engineering and Management, Technical University of Crete, currently on leave but maintaining active research status. His work spans computational fluid dynamics, aerodynamics, and marine engineering within the Department of Production Engineering and Management. His primary research focuses on computational fluid dynamics with emphasis on ship hull reconstruction from 2D drawings, hypersonic flow simulation, and wind turbine optimization. Recent publications demonstrate expertise in geometric modeling , rarefied gas dynamics , and renewable energy systems . The 2025-2020 article portfolio reveals consistent contributions to naval architecture, aerodynamic shape optimization, and laser-matter interactions with strong methodological focus on B-spline functions, DSMC methods, and differential evolution algorithms. Professor Ioannis maintains an active email contact ( inikolos@tuc.gr ) and office location at D4.107 in the MPD Building. His work shows significant interdisciplinary connections between production engineering, computational physics, and marine applications with particular strength in translating theoretical models to practical engineering solutions.

Dirk Helbingمشاهده پروفایل

استاد

• Computational Social Science
• Complexity Science
• Digital Society
• +۱۰ مورد دیگر

Dirk Helbing is a Full Professor of Computational Social Science at the Department of Humanities, Social and Political Sciences at ETH Zurich, with an affiliation at the Department of Computer Science. He is also a member of the External Faculty at the Complexity Science Hub Vienna. His research integrates computational modeling, data science, and social theory to study complex socio-technical systems, with a focus on digital societies, smart cities, and democratic innovation. ETH Zurich – Department of Humanities, Social and Political Sciences Affiliate, Department of Computer Science, ETH Zurich External Faculty, Complexity Science Hub Vienna Former Affiliate Professor, TU Delft (Technology, Policy and Management) Helbing’s research spans computational social science, complexity science, urban sustainability, and digital democracy. He pioneered work in pedestrian and traffic modeling and expanded into socio-economic systems, agent-based simulation, and systemic risk. His team investigates topics such as digital governance, participatory budgeting, resilience, and ethical smart city design. He emphasizes interdisciplinary integration and real-world policy impact. The recent publications reflect a strong trend toward using AI, agent-based modeling, and data analytics to address urban challenges—particularly in traffic management, air quality monitoring, and participatory governance. His work increasingly focuses on ethical and democratic dimensions of technology, advocating for decentralized, inclusive, and resilient digital societies. Idee Suisse Award Honorary PhD, Delft University of Technology (2014) Helbing has advised numerous PhD and postdoctoral researchers and led major initiatives such as the FuturICT project and the doctoral program on Engineering Social Technologies at TU Delft. His research is supported by significant grants, including an ERC Advanced Investigator Grant. He has co-founded several interdisciplinary centers, including the Risk Center, the Decision Science Laboratory (DeSciL), and the Competence Center for Coping with Crises. He leads the Computational Social Science (COSS) group at ETH Zurich, which combines fundamental research with applied policy innovation. The team uses evolutionary game theory, simulations, and experiments to study collective behavior, cooperation, and societal transformation.

Simon Demangeمشاهده پروفایل

پژوهشگر

• Fluid Dynamics
• Aeroacoustics
• Turbulent Boundary Layers
• +۵ مورد دیگر

Simon Demange is a post-doctoral researcher at the Technical University of Berlin, working within the Institute for Fluid Mechanics and Technical Acoustics (ISTA) in the Faculty of Traffic and Machine Systems. His research focuses on linear stability and resolvent analyses of turbulent boundary layers developing over airfoils, with particular emphasis on developing low-order physics-based models describing noise generation mechanisms from coherent structures in turbulent flows. Dr. Demange completed his research master and PhD thesis within the aerospace and aeronautics department of the von Karman Institute for Fluid Dynamics in 2021. His doctoral research focused on the onset of absolute and global instabilities in high-enthalpy round jets, establishing his expertise in flow instability analysis. Dr. Demange's research interests span several critical areas of fluid dynamics with practical engineering applications: Turbulent boundary layer dynamics over airfoils and wings Resolvent analysis for modeling coherent structures in turbulence Trailing edge noise mechanisms in wind turbines and aircraft Physics-based low-order modeling of flow phenomena Plasma jet instabilities and high-enthalpy flow dynamics Multi-physics flow modeling and simulation Analysis of Dr. Demange's publication record reveals a strong trajectory of increasingly sophisticated work bridging fundamental fluid dynamics with practical engineering applications. His research demonstrates particular expertise in applying stability analysis techniques to understand and model noise generation in aerodynamic systems, with significant implications for wind turbine design and aircraft noise reduction. His collaborative work spans multiple institutions and shows strong interdisciplinary connections between theoretical fluid dynamics, computational methods, and experimental validation. Dr. Demange has developed specialized computational tools including FELiCS, a versatile linearized solver for multi-physics flows, demonstrating his capability in both theoretical development and practical implementation. His work on wind turbine noise addresses a critical challenge in renewable energy technology, while his research on high-speed train aerodynamics contributes to transportation engineering advancements.

Xin Wangمشاهده پروفایل

استادیار

• Smart Cities
• Logistics Systems
• Transportation Engineering
• +۳ مورد دیگر

Dr. Xin Wang is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison, with additional affiliation to the Civil and Environmental Engineering department. His research focuses on mathematical modeling for smart cities, particularly in logistics and transportation systems. Primary Affiliation: Industrial and Systems Engineering Secondary Affiliation: Civil and Environmental Engineering Research domains include: Sustainable logistics system planning Electric vehicle sharing networks Smart parking solutions Vehicle-grid integration Connected automated vehicle systems His publications address heterogeneous traffic flow modeling, EV sharing optimization, and intelligent transportation systems. Funded by multiple NSF grants totaling over $1.4 million, he leads projects on traffic fundamental diagrams and energy sponge services. Co-chair, IEEE Intelligent Transportation Systems Society (ITSS) Emerging Transportation Technology Testing (ET3) Committee

Jy Chienمشاهده پروفایل

استاد

• Transportation Engineering
• Urban Transit Systems
• Traffic Simulation
• +۳ مورد دیگر

Professor Jy Chien is the Director of the Transportation Program and a faculty member in the Department of Civil and Environmental Engineering at the New Jersey Institute of Technology. His career spans academia, government agencies (e.g., Federal Highway Administration), and private consultancy, with expertise in transportation systems, traffic simulation, and sustainable transit planning. Education: Ph.D., University of Maryland-College Park (1995) M.S., University of Maryland-College Park (1991) B.S., Tamkang University, Taiwan (1983) His research focuses on transportation network optimization, demand-responsive transit systems, and climate resilience in infrastructure. Recent work examines metro network vulnerabilities, electric transit charging technologies, and pandemic-era flight scheduling adaptations. Publications reveal a strong emphasis on mathematical modeling, machine learning, and real-world case studies. Key trends in his scholarship include: (1) resilience analysis for urban rail networks under cascading failures, (2) integration of wireless charging in electric bus systems, and (3) spatiotemporal modeling of transit demand elasticity. Articles often employ genetic algorithms, Bayesian approaches, and data-driven simulations. Scientific Awards & Invitations: 2024 Keynote Speaker, Union-Tech Lecture, National Taiwan Ocean University 2022 Keynote Speaker, Chinese Institute of Transportation Annual Meeting 2022 Best Poster Award, New Jersey Department of Transportation Professor Chien has developed tools like CORSIM traffic simulation software and contributed to policy evaluations, including license plate restrictions and highway work zone safety protocols.

Kshitij Jerathمشاهده پروفایل

دانشیار

• Self-organized dynamics
• Multi-agent systems
• Robotic swarms
• +۵ مورد دیگر

Kshitij Jerath serves as Associate Professor in the Department of Mechanical and Industrial Engineering, Robotics at the Francis College of Engineering, University of Massachusetts Lowell. His research focuses on self-organized dynamics in complex systems, multi-agent control, and robotic swarms, with significant contributions to traffic flow theory and sensor characterization. He directs the Emergent Dynamics, Control and Analytics Labs (EXALABS), advancing bottom-up control algorithms for minimal-intervention system guidance. Dr. Jerath's academic background includes: Ph.D. in Mechanical Engineering from Pennsylvania State University (2014), dissertation: 'Influential subspaces in self-organizing multi-agent systems' M.S. in Electrical Engineering from Pennsylvania State University (2011), thesis: 'Sensor noise modeling, characterization and simulation: An Allan variance tutorial' M.S. in Mechanical Engineering from Pennsylvania State University (2010), thesis: 'Impact of adaptive cruise control on the formation of self-organized traffic jams on highways' Bachelor's equivalent in Mechanical and Automation Engineering from Amity School of Engineering and Technology, India His research spans self-organized dynamics , multi-agent systems , and robotic swarm control , applying statistical mechanics principles to model emergent behavior in transportation networks and complex systems. Current work focuses on influencing macro-scale dynamics through minimal intervention by small agent subsets, with extensions to social ensembles and neural systems. His methodologies integrate control theory, network science, and machine learning for real-world applications in autonomous vehicles and system reliability. Recent publications (2023-2025) reveal strong trends in relational network applications for multi-agent learning, adaptive data granulation techniques, and human-swarm interaction frameworks. Key developments include database-inspired algorithms for sensor characterization, renormalization group approaches to traffic modeling, and fault-tolerant recovery mechanisms for robotic teams. These works demonstrate increasing convergence of control theory, database systems, and reinforcement learning in addressing complex system challenges. Dr. Jerath has received notable recognition including: Two Best Presentation awards at American Control Conference (2014, 2012) Kulakowski Travel Award from Penn State (2014) National Merit-cum-Means Scholarship from Indian Government (2013) 2nd place in ITS America Student Essay Competition (2012) His research is supported by grants including the CPS: Medium project 'Automated Discovery of Data Validity for Safety-Critical Feedback Control in Connected Vehicles' (2019) and a Graduate Teaching Fellowship from Penn State (2013). EXALABS maintains active collaborations with transportation agencies and robotics researchers to translate theoretical advances into practical applications. The Emergent Dynamics, Control and Analytics Labs (EXALABS) develops frameworks for modeling, quantifying, and influencing collective behavior across scales. Current projects include human-guided swarm control in virtual reality, traffic flow optimization using connected vehicle networks, and adaptive granulation techniques for large-scale sensor data. The lab employs interdisciplinary approaches combining control theory, statistical mechanics, and machine learning to solve problems in robotics, transportation, and system reliability.

• Intelligent control
• Machine learning
• Cyber-physical systems
• +۵ مورد دیگر

Hao Xu serves as an Associate Professor at the University of Nevada, Reno, holding the Ralph E. and Rose A. Hoeper Professorship. His research laboratory operates from SEM Building, Room 337D, with contact via haoxu@unr.edu. His research spans critical domains in intelligent transportation systems: Intelligent control and machine learning for cyber-physical systems Networked control systems and unmanned aircraft applications Power control, smart grid integration, and wireless sensor networks Recent publications (2023-2025) demonstrate concentrated expertise in roadside LiDAR applications, developing algorithms for vehicle/pedestrian detection, trajectory prediction, and safety analysis under challenging conditions including snow and heavy traffic. His work integrates deep learning with optimization techniques to enhance data processing robustness, particularly for vulnerable road user protection and near-miss event quantification. While no specific scientific awards beyond his named professorship were documented, his research directly addresses critical transportation safety challenges through innovative sensor applications and data analytics. Information regarding student advising, research grants, and laboratory infrastructure details was not provided in available materials, though his publication output indicates active collaboration with transportation agencies on smart infrastructure development.

Karen Boyceمشاهده پروفایل

مدرس ارشد

• Fire Safety Engineering
• Human Behaviour in Fire
• Evacuation Modeling
• +۳ مورد دیگر

Dr. Karen Boyce serves as Senior Lecturer at Ulster University's Belfast School of Architecture & the Built Environment within the Faculty of Computing, Engineering and the Built Environment. With over 30 years of continuous research at FireSERT (Fire Safety Engineering Research and Technology Centre), she specializes in human behaviour during fire evacuations, particularly focusing on vulnerable populations including people with disabilities and elderly occupants. PhD in Fire Safety Engineering (1997), Thesis: "Towards the Characterisation of Disabled Persons for Evacuation" BSc in Mathematics and Computer Science (1984), Queen's University Belfast Her research program integrates experimental fire safety engineering with pedestrian dynamics, examining occupant movement through motion capture studies, funnel-shaped bottleneck analyses, and biomechanical measurements. Key contributions include an EPSRC-funded investigation of World Trade Centre evacuations on 9/11 and development of engineering data for the Society of Fire Protection Engineers Handbook. She has published over 60 research papers addressing evacuation modeling for diverse populations. Analysis of her 2019-2024 publications reveals accelerating focus on microscopic crowd flow modeling, with increasing emphasis on experimental biomechanics and cognitive components of pedestrian movement. Recent work quantifies stop/start processes in pedestrian traffic and examines demographic impacts on evacuation performance, reflecting growing urgency in adapting fire safety standards for aging populations and reduced mobility groups. Dr. Boyce holds significant leadership positions including Chair of the Programme Committee for the International Symposium Human Behaviour in Fire series and membership on editorial boards for Fire Science Reviews and Case Studies in Fire Safety. She serves on the Advisory Board of Fire and Materials and previously co-chaired the Planning Committee for the 12th International Association of Fire Safety Science Symposium (2017). As Principal Investigator for the "Means of Escape for Disabled People" project (2020-2023) and contributor to the HARMONISE infrastructure security initiative (2013-2019), she bridges academic research with regulatory impact. Her external roles include membership on the Northern Ireland Building Regulations Advisory Committee (NIBRAC) Part E technical sub-committee and External Examiner position at Glasgow Caledonian University since 2014.