جستجوی استاد راهنمای دانشگاهی

Mauro Corradoمشاهده پروفایل

استاد

• Civil and Structural Engineering
• Composite Material Design
• Computational Mechanics
• +۱۲ مورد دیگر

Mauro Corrado is a Full Professor at the Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, Italy. He is a member of the Interdepartmental Center SISCON – Safety of Infrastructures and Constructions and leads the GLASS T&AM research group focused on glass structures and advanced materials. His academic career includes a Marie Curie Intra-European Fellowship at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland (2014–2016). University: Politecnico di Torino Department: Department of Structural, Geotechnical and Building Engineering (DISEG) Academic Rank: Professor Email: mauro.corrado@polito.it His research interests include civil and structural engineering, composite material design and testing, computational mechanics, fracture mechanics, reinforced concrete, structural glass, and structural health monitoring. He applies multi-scale and multi-physics modeling to study failure mechanisms in concrete, composites, and photovoltaic modules. His work integrates experimental validation with advanced numerical simulations using cohesive zone models, phase field methods, and XFEM. The recent publications reflect a strong trend in structural glass, dynamic fracture, acoustic monitoring of concrete structures, and multi-scale modeling of material degradation. Key themes include the development of functional coatings for glass, computational modeling of fracture in heterogeneous materials, and structural health monitoring using acoustic event detection in prestressed concrete bridges. Scientific awards include: Marie Curie Intra-European Fellowship for Career Development (FP7-PEOPLE-2013-IEF) Fellow at École Polytechnique Fédérale de Lausanne (2014–2016) He has supervised several PhD students including Vida Bagherpour Aliabadi, Diogo Manuel Goncalves Dias, and Arturo Chao Correas. He has led research projects funded by PNRR, corporate partners, and competitive grants. His teaching includes Structural Glass Technology, Advanced Structural Mechanics, and Computational Mechanics. He is also involved in PhD programs at Politecnico di Torino and Università degli Studi di Catania. He is a member of the editorial boards of the International Journal of Structural Glass and Advanced Materials Research and Fracture and Structural Integrity, and actively collaborates with institutions such as TU Delft, EPFL, and IMT Lucca.

• Environmental Risk Analysis
• Waste Management
• Environmental Pollution Monitoring
• +۷ مورد دیگر

Jinmei Lu is a Professor in the Department of Technology and Security at UiT The Arctic University of Norway, actively contributing to research and teaching in environmental and technological safety domains. Her primary affiliation is with the Sustainable Technology and Safety (STS) research group and the nICE project, based in Tromsø. Her research interests focus on Environmental Risk Analysis and Assessment , Waste Management , Environmental Pollution Monitoring , and Environmental Pollution Prevention and Mitigation . Her work employs advanced modeling and statistical techniques to understand the environmental impacts of mining, shipping, and climate change in the Arctic. The 15 most recent publications reveal a strong trend in applying hydrological and reliability models to Arctic environmental challenges. Key themes include the leaching of heavy metals from mine tailings under varying temperatures, atmospheric emissions from Arctic shipping, hydrological modeling in permafrost regions, and reliability analysis of engineering systems. The research utilizes methods from machine learning, statistical modeling, and environmental simulation. Her scientific contributions are disseminated through high-impact journals in environmental science, engineering, and sustainability. Jinmei Lu is an active advisor and collaborator, with a long-standing research partnership with Fuqing Yuan and other colleagues. Her work is supported by institutional affiliations and research projects focused on Arctic sustainability. She teaches courses such as SVF-1201 (Environmental Vulnerability in the Arctic), SIK-2004 (HSE Risk Analysis and Management), and SVF-3207 (Resilience). She is a key member of the Sustainable Technology and Safety (STS) research group and the nICE project, which are central to her collaborative research on Arctic environmental and engineering challenges.

Sara Millerمشاهده پروفایل

استادیار

• Genomics
• Behavioral Ecology
• Evolutionary Biology
• +۵ مورد دیگر

Sara Miller is an Assistant Professor in the Department of Biology at the University of Missouri - St. Louis, affiliated with the College of Arts and Sciences. She leads the Social Insect Diversity Lab, focusing on the interplay between genomics, behavior, and ecology in shaping biological diversity. Her research primarily investigates primitively eusocial Polistes paper wasps, examining speciation drivers, social behavior's impact on diversification rates, and biodiversity comparisons between social and solitary insects. Methodologies include genome assembly, population genetics, museum collections, and behavioral experiments. 2025: Evolution of cognition in social insects 2025: Genomic architecture and phylogeny 2023: Cooperation and recognition mechanisms 2023: Sex-linked genetic variation 2022: Polistes genome assemblies 2021: Environmental genomics and behavior 2020: Population structure and coevolution The Social Insect Diversity Lab serves as a hub for exploring social insect evolution through modern genomic and ecological approaches. Dr. Miller's work bridges molecular biology with macroevolutionary questions, emphasizing interdisciplinary research across biological scales.

• Thermal transient testing
• Semiconductor device modeling
• LED characterization
• +۳ مورد دیگر

András Poppe is a Professor and Head of Department at the Department of Electron Devices , Budapest University of Technology and Economics . He is also a member of the Strategic Innovation Group at SIEMENS Digital Industry Simulation and Test Solutions since 2021. His academic journey began with an MSc in Electrical Engineering (1986) from BME, followed by a Cand.Sci. degree (1996) from the Hungarian Academy of Sciences and a PhD (1996) from BME. His research focuses on thermal transient testing of semiconductor devices, LED/OLED characterization , electro-thermal simulation , and digital twin development for LEDs and luminaires. Recent publications highlight his work on Multi-domain modeling for Industry 4.0 Thermal management in LED systems Compact model validation Phosphor layer effects in white LEDs Standardized LED datasheets Electro-thermal failure analysis in OLEDs Poppe has received the Harvey Rosten Award for Excellence twice (2012, 2017) for contributions to electronics physical design. He leads the Hungarian Scientific Research Fund grant (128315, 2018-2022) on LED aging investigation and participates in EU projects like Delphi4LED and AI-TWILIGHT . He chairs the CIE TC2-84 committee and co-founded the JEDEC JC15 and CIE TC2-91 standardization groups.

Ratna Babu Chinnamمشاهده پروفایل

استاد

• Artificial Intelligence
• Big Data Analytics
• Operations Management
• +۴ مورد دیگر

Dr. Ratna Babu Chinnam is a Professor and Chair of the Department of Industrial and Systems Engineering at Wayne State University. As a Founding Director of multiple academic initiatives including IndustryX: Center for Operational Excellence , the Global Executive PhD Program , and the Data Science & Business Analytics MS Program , he has established himself as a leader in AI, Big Data Analytics, and Sustainable Operations. B.S. in Mechanical Engineering, Manipal Institute of Technology (1988) M.S. and Ph.D. in Industrial Engineering, Texas Tech University (1990, 1994) His research spans cutting-edge domains in Smart Engineering Systems , with a focus on: AI & Data Science - Deep Learning, Computational Intelligence, Multi-Agent Systems Supply Chain Innovation - Resilience Frameworks, Green Logistics, Set-Based Design Healthcare Systems - Operational Intelligence, Bed Management, Patient Flow Optimization Vehicular Technologies - Electric Vehicle Routing, Connected Vehicle Analytics His recent publications analyze EV charging networks , neonatal diagnostics , and decentralized manufacturing systems . These works demonstrate interdisciplinary applications of stochastic optimization , domain adaptation , and GAN architectures . Notable awards include: 2024 Elsevier Top Researcher Recognition 2024 Ground Vehicle Systems Best Paper Award 2022 Outstanding Professor Award (Industrial Engineering & Operations Management Society) 2012 Wayne State Outstanding Graduate Mentor Award Marquis Who's Who Honoree (2024) As advisor to 60+ doctoral students, he has shaped the next generation of engineers working at institutions like Ford, Intel, and Whirlpool. His industry collaborations include consulting for General Dynamics , Magna International , and DataFactZ . He leads the IndustryX: Center for Operational Excellence and previously directed the Business Analytics Spoke for the NSF's Midwest Big Data Hub, demonstrating sustained institutional leadership.

• Corrosion Science
• Interfacial Electrochemistry
• Surface Engineering
• +۷ مورد دیگر

Professor Vijayshankar Dandapani is a faculty member in the Department of Metallurgical Engineering and Materials Science at the Indian Institute of Technology Bombay. His research focuses on interfacial phenomena in materials, particularly in the context of corrosion, coatings, and electrochemical systems. Research Interests: Corrosion and delamination of organic coatings Hydrogen permeation for interfacial reaction kinetics Non-linear frequency response analysis (NFRA) in lithium-ion batteries Nanorough silica coatings and surface engineering Metal-ceramic interfacial stress corrosion cracking Analyzing his recent publications, his work spans electrochemistry, surface science, and nanomaterials, with a strong emphasis on buried interfaces and quantitative characterization techniques. His research integrates experimental electrochemistry with surface modification and materials design for durability and performance. Awards and Honors: No scientific awards listed in the provided text. Advising and Grants: There is no explicit mention of students, advising roles, or funded grants in the provided text. However, given his publication record and faculty position, it is likely he supervises graduate students and participates in research projects. His work appears to involve collaborations with international institutions in Germany and the USA. Laboratories and Research Teams: The text references his personal website ( https://dvijayashankar.wixsite.com/interfaceelectrochem ), which likely hosts details about his research group, ongoing projects, and lab facilities focused on interface electrochemistry and surface engineering.

Philipp Siebergمشاهده پروفایل

پژوهشگر

• Intelligent Transportation Systems
• Vehicle Dynamics
• Machine Learning
• +۵ مورد دیگر

Dr.-Ing. Philipp Sieberg serves as a Researcher at the Chair of Mechatronics within the Faculty of Engineering at the University of Duisburg-Essen, Germany. His research focuses on intelligent transportation systems, vehicle dynamics, and applied artificial intelligence, with particular emphasis on hybrid methodologies that integrate physical models with machine learning approaches. Based in Room MD-226, he actively contributes to both academic and industrial advancements in automotive engineering through his publications and research projects. His research interests span intelligent transportation systems, vehicle dynamics control, machine learning applications, and hybrid estimation methods. Sieberg specializes in developing reliable AI-based virtual sensors for vehicle state estimation, creating model-based predictive control systems for active roll stabilization, and applying neural networks to complex automotive challenges. His work consistently addresses the critical balance between AI innovation and system reliability in safety-critical automotive applications, with significant contributions to steering system dynamics, wear mechanism classification, and autonomous vehicle development. Sieberg's recent publications (2022-2025) demonstrate a clear trajectory toward increasingly sophisticated hybrid AI methodologies in vehicle dynamics. His research shows growing emphasis on reliability assurance of AI components, multi-fidelity simulation approaches, and practical implementation of machine learning in hardware-in-loop test environments. The work spans fundamental research in neural network-based state estimation to applied solutions for steering systems, wear analysis, and autonomous inland waterway vessels, reflecting both theoretical depth and real-world applicability. Award for Particularly Outstanding Graduation, Department of Engineering, University of Duisburg-Essen Award for Outstanding Completion of Master's Program in Mechanical Engineering, Faculty of Engineering, University of Duisburg-Essen First Prize for Outstanding Master's Thesis 2017, Alumni Chair of Mechatronics eV, University of Duisburg-Essen Active involvement in IEEE Germany Section and Chair of IEEE ITSS German Chapter Sieberg contributes significantly to research projects including AutoBin (Autonomous Inland Waterway Vessel), driving simulators for the Chair of Mechatronics, and machine learning algorithms for mobile state prediction applications. His leadership extends to committee activities as Student Activities Chair of the IEEE ITSS German Chapter, where he bridges academic research with professional society engagement. Current teaching responsibilities include courses on highly automated driving systems and technical fundamentals of future vehicle systems for the Master's program in Automotive Engineering & Management Executive. Working within the Chair of Mechatronics research group, Sieberg collaborates extensively with colleagues including Dieter Schramm, Christian Hürten, and Alexander Haas. His research leverages advanced driving simulators and hardware-in-loop test benches, with strong connections to the AutoBin project consortium developing autonomous inland vessel technology. The research environment emphasizes interdisciplinary collaboration between mechanical engineering, computer science, and control systems specialists to address complex mobility challenges.

Faas Moonenمشاهده پروفایل

دانشیار

• Innovative Structural Design
• Adaptive Structural Systems
• Lightweight Structures
• +۵ مورد دیگر

Dr.ir. Faas Moonen is an Associate Professor in Innovative Structural Design at the Department of the Built Environment , Eindhoven University of Technology (TU/e) . His research focuses on Adaptive Structural Systems , Lightweight Structures , Life Cycle Design of Structures , Parametric Structural Optimisation , and Integrated Design of Structures , with significant contributions to the Smart Cities program. Education : MSc in Built Environment (1983) from TU/e PhD : 2001, thesis on industrialized foundation design supervised by Harry Rutten and Leo Wagemans His work emphasizes biocomposite materials (e.g., flax fiber composites) and their applications in sustainable infrastructure. Recent projects like the Smart Circular Bridge and Natuur-inbouw demonstrate integration of structural health monitoring and nature-inclusive design . He has pioneered probabilistic and fractional-order models for material performance analysis. Key scientific awards include: 55th TU/e Anniversary Award (2011) Herman Wijffels Innovation Award (2012) STW Design Prize (2014) SBIR-Grants (2010, phases I & II) Moonen has secured multiple research grants related to biocomposite footbridges , energy-efficient buildings , and sustainable urban development . His projects often involve interdisciplinary collaboration with industry partners.

• Computer Vision
• Machine Learning
• Image Processing
• +۵ مورد دیگر

Dr. Xin Lin is a Professor at the School of Computer Science and Technology, University of Science and Technology of China in Hefei. With an extensive publication record spanning computer vision, machine learning, and artificial intelligence, Dr. Lin leads a research group focused on solving challenging problems in image processing, robotics, and wireless communications. His work bridges theoretical advancements with practical applications across healthcare, autonomous systems, and industrial manufacturing. Dr. Lin's research interests encompass computer vision, machine learning, image processing, and artificial intelligence, with particular expertise in image restoration, 3D object detection, and human pose estimation. His laboratory develops innovative approaches to handle multiple image degradations simultaneously and create lightweight, efficient vision systems suitable for real-world deployment. The research demonstrates strong interdisciplinary connections, applying computer vision techniques to medical imaging, satellite communications, and industrial IoT applications. Analysis of Dr. Lin's recent publications reveals a strong focus on multi-task learning approaches that address multiple image degradation problems simultaneously. His work shows increasing sophistication in handling complex real-world scenarios, from low-light conditions to rain interference, while maintaining computational efficiency. The research trajectory demonstrates a clear path from fundamental image processing techniques to practical applications in autonomous driving, healthcare, and industrial systems. Dr. Lin has received recognition for his contributions to the field through numerous publications in top-tier venues including CVPR, IEEE Transactions, and ACL. His work on image restoration, particularly the Dual Degradation Representation framework, has gained significant attention in the computer vision community. Dr. Lin actively supervises graduate students and collaborates with researchers worldwide. His laboratory works on cutting-edge projects involving digital twins for manufacturing, satellite communications, and medical imaging applications. Current research directions include developing more robust and efficient models for real-world deployment scenarios, with particular attention to resource-constrained environments.

• Materials Science
• Electrical Engineering
• Sensors and Actuators
• +۳ مورد دیگر

Adam Bieńkowski is a Professor at the Institute of Metrology and Biomedical Engineering and the Faculty of Mechatronics at Warsaw University of Technology. His research focuses on magnetoelastic effects, magnetic materials, sensor technologies, and structural health monitoring. He has contributed to advancements in materials science, particularly in the development of sensors for stress, force, and torque measurements using ferromagnetic and amorphous alloys. Key achievements include team awards for scientific achievements from the Rector of Warsaw University of Technology (2019, 2016, 2014). His work emphasizes practical applications of magnetoelastic properties in civil engineering and mechanical systems, such as monitoring truss structures and high-temperature materials. Affiliations: Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics Education: PhD in Engineering Research interests span magnetic materials characterization, sensor design, and interdisciplinary applications in mechatronics. His publications prioritize experimental validation and modeling of magnetostrictive and Villari effects in diverse materials. Awards: First-Place Team Award for Scientific Achievements (2017-2018) Second-Place Team Award for Scientific Achievements (2014-2015) First-Place Team Award for Scientific Achievements (2012-2013) Grants and collaborations involve advanced material testing methodologies and sensor innovation. His lab specializes in magnetoelastic measurement systems and nondestructive evaluation techniques for infrastructure safety.

Bernd Gludovatzمشاهده پروفایل

دانشیار

• Materials engineering
• Mechanical engineering
• Solid mechanics
• +۷ مورد دیگر

Associate Professor Bernd Gludovatz is affiliated with the School of Mechanical and Manufacturing Engineering at the University of New South Wales , where he leads research on the mechanical behavior of structural materials. His work bridges advanced metallic alloys, bulk metallic glasses, and biological materials. PhD, Materials Science and Engineering (University of Leoben, Austria) Postdoctoral Fellowship under Prof. Robert O. Ritchie at Lawrence Berkeley National Laboratory Research Focus: Mechanisms of deformation, fracture, and fatigue in additively manufactured materials, high-entropy alloys, and bio-inspired composites. Key applications include aerospace components, bio-implants, and nuclear reactor materials. Publication Trends: Recent work emphasizes additive manufacturing for tailored microstructures, high-entropy alloys with extreme fracture toughness, radiation effects on nuclear materials, and biomechanical correlations in bone fracture resistance. Contact: Level 3, Room 311G, Ainsworth Building (J17), Kensington Campus, UNSW Sydney Phone: +61 (2) 9385 4006

Wei Gaoمشاهده پروفایل

استاد

• Structural Engineering
• Mechanical Engineering
• Stochastic Analysis and Modelling
• +۶ مورد دیگر

Professor Wei Gao is a faculty member at the School of Civil and Environmental Engineering, University of New South Wales. His research focuses on integrating AI and machine learning with structural engineering, stochastic mechanics, composite materials, and infrastructure safety against natural hazards. He leads national research grants including ARC-funded projects on generative design of nondeterministic impacts and data-driven structural safety assessment. Research Interests: AI-driven structural analysis/design Computational uncertainty mechanics Composite materials and metamaterials Infrastructure safety under fire/natural hazards Engineered cementitious composites Grants & Projects: ARC Discovery Projects (e.g., DP240102559, DP210101353) ARC Linkage Projects (e.g., IH210100048, IH200100010) Focus areas: wildfire safety, composite material optimization, circular economy in construction Editorial Roles: Editor-in-Chief of Modelling: An International Journal Associate Editor of Engineering Structures Subject Editor of Applied Mathematical Modelling His work spans computational tools for structural assessment, smart material design, and probabilistic safety frameworks. Current projects address AI-assisted design, sustainable materials, and fire-resilient infrastructure systems.

Frederic Houzeمشاهده پروفایل

پژوهشگر

• Electrical Engineering
• Materials Science
• Nanotechnology
• +۳ مورد دیگر

Frederic Houze is a Researcher at the Laboratory for Electrical and Electronic Engineering of Paris. His work focuses on advanced electrical characterization techniques, particularly using Atomic Force Microscopy (AFM), and the study of electrical contacts in materials science and micro/nano-scale systems. Key research areas include: Electrical behavior of wheel-rail contacts and microswitches Characterization of diamond-based Schottky diodes and graphene-like films Development of high-Tc superconducting devices for terahertz applications Capacitance and resistance imaging via AFM with novel methodologies Material analysis of polyacrylonitrile films and carbon nanotube nanostructures He has collaborated extensively with institutions like Supelec and Université Paris-Saclay, contributing to over 40 publications. Recent work emphasizes reducing parasitic effects in AFM measurements and improving reliability of MEMS electrical contacts. His research bridges nanotechnology, electronics, and surface physics with applications in transportation systems and advanced materials. Publications highlight contributions to electrical contact dynamics, thermal analysis of electric arcs, and fabrication techniques for high-performance electronic components.

• Materials Science
• Computational Mechanics
• Metallurgy
• +۷ مورد دیگر

Marisol Koslowski is the Associate Dean for Global Engineering Programs and Partnerships and a Professor of Mechanical Engineering at Purdue University. She leads initiatives in global engineering education and partnerships while maintaining an active research portfolio. Her academic affiliations include the Mechanical Engineering Department and the Global Engineering Program (GEP). Her research focuses on computational mechanics of advanced materials, with emphasis on energetic materials, nanocrystalline metals, and failure mechanisms under extreme conditions. Key areas include phase field modeling, dislocation dynamics, and multiscale simulations of material behavior under shock, thermal, and mechanical loading. Recent work spans topics like interface delamination in HMX/HTPB composites, electromigration in solder joints, and fracture mechanics of energetic materials. Her studies often bridge microstructural analysis with macroscopic failure predictions using advanced computational frameworks. Dr. Koslowski holds leadership roles in engineering education policy and international collaboration at Purdue. She is affiliated with the Engineering Leadership Team and Engineering Cabinet, contributing to strategic initiatives in academic administration.

Carl V. Thompsonمشاهده پروفایل

استاد

• Materials Science
• Energy Storage
• Semiconductors
• +۳ مورد دیگر

Carl V. Thompson is the Stavros and Matoula Salapatas Professor in Materials Science and Engineering at MIT. He specializes in thin films, nanostructures, and their applications in microsystems, focusing on kinetic phenomena controlling material behavior. His work spans energy storage, semiconductors, and device reliability. Education: B.S. in Materials Science from MIT, M.S. and Ph.D. in Applied Physics from Harvard University. Postdoctoral research at IBM and MIT's Research Laboratory of Electronics. Research interests include solid-state dewetting, GaN-based transistors, integrated circuits, and thin-film batteries. Key projects involve studying lithiation in silicon, reliability of semiconductor devices, and nanowire stability. Leadership roles include directorships of MIT’s Materials Processing Center (2008–2017) and Materials Research Laboratory (2017–2023). Awards include the Bruce Chalmers Award (2022) and Humboldt Research Award (1997). Consulting work with IBM, Intel, Motorola, and startups. Active in international collaborations at Cambridge University, Max Planck Institute, and Karlsruhe Institute of Technology.