جست‌وجوی استاد و پژوهشگر

Christopher Eamonمشاهده پروفایل

استاد

• Structural Reliability Analysis
• Reliability Based Design Optimization
• Pipelines and Linear Structures
• +۳ مورد دیگر

Christopher Eamon is a Professor in the Civil and Environmental Engineering Department at Wayne State University, focusing on structural reliability and bridge engineering. He actively contributes to academic and practical advancements in structural analysis, design optimization, and infrastructure resilience. PhD, Civil Engineering, University of Michigan, 2000 MSE, Civil Engineering, University of Michigan, 1996 MArch, University of Michigan, 1995 BS, Arch, University of Wisconsin, 1993 His research delves into structural reliability analysis under extreme loads, reliability-based design optimization (RBDO), and computational methods to enhance infrastructure safety. Key areas include pipeline systems, bridge engineering, and blast-resistant structural design. Additionally, he explores the long-term performance of composite materials in civil infrastructure. Recent research projects include a $481,000 Great Lakes Water Authority grant for water pipeline workforce development (2024–2026) and a National Science Foundation grant for complex structural reliability analysis (2011–2015). His work spans diverse applications such as hurricane-resistant structures, fire-exposed concrete, and FRP-strengthened bridges. As a licensed Professional Engineer in Michigan, Missouri, and Mississippi, Eamon bridges academic research with real-world engineering practice. His teaching portfolio includes structural analysis, steel design, and finite element analysis courses.

Diego Dominguez Fernandezمشاهده پروفایل

استاد

• Aerospace Engineering
• Wind Energy
• Computational Fluid Dynamics
• +۳ مورد دیگر

Diego Dominguez Fernandez is a Professor at the Department of Mechanical, Computer and Aerospace Engineering within the School of Industrial, Information and Aerospace Engineering at the University of León. His research focuses on aerospace engineering with specific emphasis on wind energy, computational fluid dynamics, and uncertainty quantification in aerodynamic systems. His recent publications highlight trends in airship flight modeling, high-altitude propulsion systems, and simulation-based learning tools for engineering education. Methodologies include neural networks for wind profile estimation, kriging for stochastic optimization, and direct transcription techniques for trajectory planning. Contact: ddomf@unileon.es

• Agent-based Modeling
• Evolutionary Game Theory
• Traffic Simulation
• +۵ مورد دیگر

Dr. Simon Powers is a Lecturer at the School of Computing Engineering and the Built Environment at Edinburgh Napier University, where he is affiliated with the Centre for Algorithms, Visualisation and Evolving Systems (CAVES). His research focuses on agent-based modeling, evolutionary game theory, and the application of these techniques to understand social behavior, traffic systems, and human-AI interactions. Dr. Powers' research interests span multiple interdisciplinary domains: Agent-based modeling and simulation of complex systems Evolutionary game theory applications to social behavior Trust dynamics in human-AI interactions Leadership and consensus decision-making in social organisms Reciprocity mechanisms across human societies Traffic simulation and individual travel behavior modeling Dr. Powers' publication record demonstrates consistent contributions to agent-based modeling, with recent work focusing on trust in AI systems, leadership dynamics, and traffic simulation. His research shows a strong interdisciplinary approach, bridging computer science, social sciences, and evolutionary theory. The articles reveal a pattern of increasingly sophisticated modeling techniques applied to complex social phenomena, with particular attention to how individual behaviors aggregate to produce emergent systemic properties. Notable scientific contributions and recognitions include: Appointment as Associate Editor for the journal Adaptive Behavior (2017) Keynote speaker at the Second International Workshop of Social Learning and Cultural Evolution (2017) Invitation to contribute to the Encyclopedia of Evolutionary Psychological Science (2016) Dr. Powers has supervised several PhD students, including Johannes Nguyen (2020-2024) and Cedric Perret (2016-2020), and has collaborated extensively with researchers in the Centre for Algorithms, Visualisation and Evolving Systems. His work often involves developing novel modeling frameworks and notations, such as the Multi-Agent Modelling Notation (MAMN), to better understand complex adaptive systems. His research has practical applications in traffic management, AI governance, and understanding social dynamics, with recent work examining how regulation alone cannot ensure justifiable trust in AI systems.

Wim Casteelsمشاهده پروفایل

مدرس

• Data Science
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Wim Casteels is a Lecturer and researcher at AP University College, specializing in AI and data science. He transitioned from quantum physics research at the University of Antwerp and Paris to roles in data science at Argenta's Data Analytics Office and imec's IDLab research group. His work focuses on applying AI to education, transportation, and environmental monitoring. He leads projects like AI4UX (user pattern detection), LAP! (learning analytics dashboards), and AI4Care (AI for youth care support). Education: PhD in Physics (University of Antwerp), followed by postdoctoral research on quantum systems in Antwerp and Paris. Transitioned to data science roles in industry and academia. Research Interests: Machine Learning, Deep Learning, Learning Analytics, and AI applications in education and transportation. Projects include developing AI-driven road weather models using vehicle sensor data, predictive student success models, and energy-efficient building control systems. His work emphasizes ethical AI implementation and data-driven decision-making. Key Projects: AI4UX (2023–2025), AHUMAIN (2023–2025), LAP! (2019–2023), and AI4Care (2024–2026). His research is supported by grants like the Industrial Research Fund. Labs/Teams: Part of AP University College's Media, Design and IT Knowledge Center, previously affiliated with imec's IDLab group and Argenta's Data Analytics Office.

Masoud Daneshtalabمشاهده پروفایل

استاد

• Deep Learning Acceleration
• Hardware/Software Co-Design
• Interconnection Networks
• +۷ مورد دیگر

Masoud Daneshtalab is a Professor at Mälardalen University, leading the Heterogeneous System research group (HERO). He previously held roles as a European Marie Curie Fellow at KTH Royal Institute of Technology (2014) and as a university lecturer and group leader at the University of Turku, Finland (2012-2014). His research focuses on interconnection networks, hardware/software co-design, deep learning acceleration, and evolutionary optimization. He specializes in fault-tolerant DNN accelerators, time-sensitive networking (TSN), and embedded systems. His work bridges theoretical advancements with practical implementations, emphasizing reliability and efficiency in edge computing and AI applications. Research interests include: Network-on-Chip (NoC) architectures and congestion prediction Fault resilience in deep neural networks (DNNs) Optimization of federated learning and homomorphic encryption for edge AI Integration of TSN with 5G and automotive systems Hardware acceleration techniques for computational efficiency Recent publications emphasize advancements in robust AI architectures, fault tolerance mechanisms, and TSN-based communication protocols. His work often addresses practical challenges in deploying machine learning models on resource-constrained devices. He actively contributes to interdisciplinary projects in autonomous systems, healthcare monitoring via FMCW radar, and neural architecture search for embedded applications. Labs/Teams: Leads the HERO group at Mälardalen University, focusing on heterogeneous computing systems and real-time embedded systems.

• Mechanics
• Materials Science
• Civil Engineering
• +۳ مورد دیگر

Alain EHRLACHER is a Professor and Research Director at the Navier Laboratory, part of École des Ponts ParisTech (ENPC). He holds a Doctorat d’Etat from the University of Paris VI (1985) and has been active in research since 1978. His primary affiliations include the Mechanical and Materials Engineering department, focusing on interdisciplinary research in mechanics, materials science, and civil engineering. Education: Graduate of École Polytechnique and École nationale des ponts et chaussées. Completed Doctorat d’Etat in 1985 at University of Paris VI. Research Interests: Fracture mechanics and material failure analysis. Concrete technology and durability (e.g., alkali-silica reaction, thermal behavior). Thermal analysis of materials under extreme conditions. Computational modeling of grain growth and microstructural evolution. Mechanical behavior of composites and laminated materials. Key Contributions: Pioneered studies on alkali-silica reaction (ASR) in concrete, integrating fracture mechanics and poromechanics. Developed models for grain growth kinetics using Bayesian techniques and thermomechanical principles. Advanced computational methods for simulating coiling processes and structural fatigue in engineering systems. Lab & Affiliations: Active researcher at the Navier Laboratory, a leading center for mechanics and civil engineering research in France.

• LIDAR technology
• Point cloud analysis
• Big data algorithms
• +۹ مورد دیگر

Adrian Widłak is a Teaching Assistant at the Department of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology. His research focuses on information and communication technology (ICT) with specialization in point cloud analysis, visibility mapping, and network security. Specializes in LIDAR technology and Digital Surface Model (DSM) processing for viewshed generation Conducts research in big data algorithms, cryptography, and artificial intelligence Active in edge computing optimization and intelligent transportation systems His work spans multiple interdisciplinary domains including environmental monitoring, biomedical applications, and blockchain security. Recent publications demonstrate a focus on: 3D spatial analysis techniques using point cloud data Machine learning applications in ecological modeling Cybersecurity challenges in modern network architectures Optimization of edge computing infrastructures Blockchain consensus mechanisms and security frameworks

Shannon Robertsمشاهده پروفایل

دانشیار

• Human Factors in Transportation Safety
• Driver-Vehicle Interaction
• Automated Vehicles
• +۵ مورد دیگر

Shannon Roberts is an Associate Professor in the Mechanical and Industrial Engineering Department at the University of Massachusetts Amherst, leading research in Human Factors and Transportation Safety. Her work spans driver-vehicle interaction, automated systems, and equity-focused transportation design, with notable grants from NSF, Sloan Foundation, and UMass ADVANCE. Education: PhD and MS in Industrial Engineering (University of Wisconsin-Madison), BS in Mechanical Engineering (MIT) Research focuses on: Teen Driver Safety and Training Effectiveness Human Factors in Automated Vehicles Cybersecurity Response in Transportation Feedback Systems for Driver Performance Community-Centered Traffic Mitigation Recent publications analyze distraction patterns, automation impacts, and VR-based driver assessment. Her team has received multiple awards including the Bentzi Karsh Early Career Service Award and Stephanie Binder Young Professional Award . Students: Mentored 15+ undergraduate and graduate researchers including Meng Wang (PhD candidate), Jaji Pamarthi (PhD student), and alumni like Yalda Ebadi (New Relic) and Fangda Zhang (Ohio State University) Contact: scroberts@umass.edu | LinkedIn | Google Scholar

• Dependability
• Stochastic Modeling
• Cloud Computing
• +۶ مورد دیگر

Paulo Romero Martins Maciel is a full professor at the Center for Informatics, Federal University of Pernambuco (UFPE), Brazil, where he has been a member since 2001. He previously served as a professor in the Department of Electrical Engineering at the University of Pernambuco from 1989 to 2003. He completed his graduate degree in electronic engineering from the University of Pernambuco in 1987, followed by master's and doctorate degrees in electronic engineering and computer science from UFPE. During his doctoral studies, he conducted a "sandwich internship" at Eberhard-Karls-Universität Tübingen, Germany (1996-1997), and later spent a sabbatical year at Duke University's Edmund T. Pratt School of Engineering. Graduate Degree: Electronic Engineering, University of Pernambuco (1987) Master's Degree: Electronic Engineering and Computer Science, Federal University of Pernambuco Doctorate: Electronic Engineering and Computer Science, Federal University of Pernambuco Professor Maciel leads the MoDCS Research Group and has established himself as a leading expert in dependability engineering, stochastic modeling, and performance evaluation of computing systems. His research spans cloud computing, edge computing, software aging and rejuvenation, and reliability analysis of complex systems. His work demonstrates a consistent focus on developing mathematical models (particularly Markov chains and Petri nets) to evaluate system behavior under various conditions. Recent research extends into emerging areas including Metaverse infrastructure, drone surveillance systems, satellite communications, and smart agriculture applications. His publication record is impressive with 191 publications and 1,298 citations, showing remarkable productivity and impact across nearly three decades. His most recent work (2024-2025) continues to push boundaries in aging dependability of cloud-edge systems for digital twins, high availability quantification in Metaverse storage, and stochastic modeling of satellite systems. His research methodology consistently applies hierarchical modeling approaches to address complex system interdependencies. Professor Maciel has mentored numerous researchers who have become active contributors in the field, including doctoral students Paulo Pereira and several co-authors who appear in his recent publications. His collaborative network extends across Brazil and internationally, reflecting the global recognition of his expertise.

• Data Analysis
• Statistical Modeling
• Demand Modeling
• +۳ مورد دیگر

Lidia Montero Mercade is a Professor at the Polytechnic University of Catalonia (UPC) within the Department of Statistics and Operations Research and affiliated with the Barcelona School of Informatics (FIB). She leads the IMP - Information Modeling and Processing research group and is a core member of inLab FIB. Her academic work spans data science, statistical modeling, demand forecasting, and simulation for sustainable urban mobility. Her research focuses on transport analytics , integrating spatiotemporal sequence analysis gender equality in mobility patterns dynamic origin-destination matrices simulation-optimization techniques smart city policy evaluation ICT data fusion for transport . Recent publications emphasize fragmented mobility, urban sustainability, and data-driven equity assessments. Key trends in her 15 most recent articles include gender-specific travel behavior , activity-based sequence modeling , and smart mobility policy evaluation using simulation tools. Awards highlight social inclusion (Premi UPC) and excellence in transport research (Premi Abertis). She contributes to academic governance as a scientific committee member of conferences like Euro Working Group on Transportation and SEFI.

• Computer Architecture
• Parallel Processing
• Networking Systems
• +۳ مورد دیگر

Javier Verdu Mula is a Professor at the Departament d'Arquitectura de Computadors (Universitat Politècnica de Catalunya - UPC) and a key researcher at the CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes . His work focuses on computer architecture, parallel processing, and networking systems. Fields of Research include RISC-V virtualization, multithreaded processor optimization, and performance analysis of stateful networking applications. Scientific Awards include the BDigital Global Congress (2015) and Wayra Barcelona (2012) recognitions. Collaborations span institutions like Barcelona Supercomputing Center and researchers such as Manuel Alejandro Pajuelo, Mateo Valero Cortes, and Mario Nemirovsky. His recent publications address RISC-V hypervisor extensions, deep packet processing in parallel architectures, and statistical thread assignment models. He also holds patents in hardware virtualization and resource control systems.

• Mechanical Engineering
• Automotive Engineering
• Mechatronics
• +۹ مورد دیگر

Andrea Tonoli is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Scientific Advisor for partnerships with DAYCO, ITALDESIGN GIUGIARO, and STELLANTIS, and leads Spoke 2 'Sustainable Road Vehicle' at the National Center for Sustainable Mobility (MOST). He coordinates the DIMEAS-LIM research group and participates in CARS and PEIC interdepartmental centers. His teaching includes courses on Car Body Design, Motor Vehicle Design, and Mechatronic Systems Simulation. His research focuses on electric/hybrid powertrain optimization, mechanical design of electric traction machines, energy management in autonomous vehicles, longitudinal/lateral dynamics, virtual sensors for vehicle state estimation, electro-hydraulic/electromechanical shock absorbers, and magnetic bearings. Key subfields include rotordynamic analysis, harmonic finite element modeling for turbines, maglev stability, mechatronic systems for autonomous vehicles, and sustainable transportation. Recent publications emphasize electrodynamic maglev damping, compact assistive knee prostheses, electromagnetic shock absorber testing, and multi-objective optimization of regenerative suspensions. His work spans automotive, aerospace, and biomedical domains with applications to energy recovery, vibration control, and sustainable mobility. He supervises PhD students in mechatronics and automotive engineering, and leads numerous funded research projects including SPHERE (PNRR), MINERVA (PNRR), SmartCorners (EU), and industry collaborations with Hyperloop Transportation Technologies, Dayco Europe, and Racing Force Spa.

Xize WANGمشاهده پروفایل

استادیار

• Urban Environment and Health
• Sustainable Mobility
• Urban Planning
• +۵ مورد دیگر

Dr. Xize WANG is an Assistant Professor in the Department of Real Estate at the National University of Singapore (NUS), affiliated with the NUS Institute of Real Estate and Urban Studies (IREUS) and NUS Center for Family and Population Research (CFPR). His research focuses on urban environment and health, sustainable mobility, and policy tools for healthier, sustainable cities. He holds a Ph.D. in Urban Planning & Development from the University of Southern California, and has postdoctoral experience at UC Berkeley. Education: Ph.D., Urban Planning and Development, University of Southern California (2012-2017) M. URP, Urban and Regional Planning, University of Minnesota (2010-2012) B.Eng., Urban Planning, Peking University (2005-2010) B.A., Economics, Peking University (2005-2010) Research Interests: Dr. WANG examines how urban environments impact mental health and sustainable transportation policies. His work bridges household-level urban dynamics with large-scale policy implications, addressing topics like residential crowding effects, commute-related depression, and generational differences in automobility. He contributes to global projects like the SALURBAL initiative, analyzing urban health across Latin America. Publications & Policy Impact: His work appears in journals such as Urban Studies and Transportation Research , influencing policy bodies like the World Bank and U.S. Department of Transportation. Notable contributions include evidence-based insights on congestion pricing, urban health surveillance systems, and generation-specific mobility trends. Teaching: Teaches courses on GIS for Real Estate, Urban Planning in Singapore, and advanced urban policy analysis. Engages in executive training programs for Singapore Land Authority and Urban Redevelopment Authority. Affiliations: Editorial board member of Journal of Urban Health and Transportation Research Part D . Active in interdisciplinary research teams, including the SALURBAL Project.

• Operations Research
• Queueing Systems
• Stochastic Modeling
• +۵ مورد دیگر

Assoc Prof Shuangchi He is affiliated with the Industrial Systems Engineering and Management Department at the National University of Singapore. His research focuses on operations research, stochastic modeling, queueing systems, and their applications in healthcare, transportation, and communications engineering. He holds a PhD from Georgia Institute of Technology (2011). Research interests include queueing design for service systems, diffusion approximations, patient scheduling optimization, and electric vehicle-sharing network analysis. His work bridges theoretical stochastic analysis with practical applications in logistics, healthcare management, and wireless communication systems. Recent publications highlight advancements in randomized routing strategies, on-demand ride-matching algorithms, and inpatient bed assignment models. His contributions to many-server queueing theory and doubly-selective channel estimation demonstrate expertise in both operations research and signal processing domains. Prof He collaborates on topics such as inventory management policies and MIMO channel estimation techniques, reflecting his interdisciplinary approach to solving complex system-level problems.

• Geographic Information Systems (GIS)
• Spatial Data Management
• Maritime Transportation Networks
• +۷ مورد دیگر

Christophe Claramunt is a distinguished researcher affiliated with the Naval Academy Research Institute in Brest, France. His work spans interdisciplinary domains at the intersection of Geographic Information Systems (GIS) , spatial data science , and human mobility analysis . He has pioneered hierarchical graph-based models for maritime and urban systems, semantic trajectory frameworks, and spatiotemporal approaches for urban soundscapes and shipping networks. Research Themes: GIS modeling, maritime transportation analytics, urban conflict analysis, semantic trajectories, geospatial data infrastructures Methodologies: Graph theory, machine learning, knowledge graphs, spatiotemporal databases, remote sensing Applications: Port network resilience, demining systems, tourist behavior analysis, cadastral digitization His recent publications focus on graph neural networks for spatial analysis, knowledge-driven competitive intelligence , and maritime network cascading failures . Collaborative work includes contributions to global container shipping modeling and urban acoustic environments. While no formal academic rank is listed in the source data, his extensive publication record and leadership in interdisciplinary projects confirm his status as a full faculty researcher.