جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Deep Learning
• Biomedical Signal Processing
• +۷ مورد دیگر

Yue Zhang is a Professor at Westlake University's School of Engineering with an exceptionally active research program spanning multiple disciplines. With dozens of publications in high-impact venues during 2025-2026 alone, Dr. Zhang demonstrates leadership in interdisciplinary research connecting computer science with practical applications in healthcare, environmental science, and education. Affiliation: Westlake University, School of Engineering Research Areas: Machine Learning, Biomedical Engineering, Computer Vision, Environmental Monitoring Publication Output: 90+ papers indexed in dblp (1996-2026), with remarkable productivity in recent years Dr. Zhang's research interests center on applying advanced machine learning techniques to solve real-world problems across multiple domains. The work demonstrates particular strength in biomedical signal processing (EEG, ECG, HRV analysis), environmental monitoring (mangrove forests, crop yield estimation, nitrogen content), and educational technology (AI integration in classrooms). The research approach typically combines deep learning architectures with domain-specific knowledge to create interpretable and effective solutions. The publication record reveals a strong trend toward multimodal and interdisciplinary approaches, with increasing focus on practical applications of AI in healthcare diagnostics, environmental conservation, and educational transformation. Recent work shows particular innovation in attention mechanisms, tensor-based optimization, and knowledge distillation techniques adapted for specialized domains. Dr. Zhang's collaborative network spans multiple institutions and disciplines, with frequent co-authorship patterns suggesting established research groups in both computer science and application domains. The work appears well-funded given the range of sophisticated applications and high publication output across top venues.

Michael Philenمشاهده پروفایل

استاد

• Adaptive Structures
• Smart Materials
• Structural Dynamics and Control
• +۵ مورد دیگر

Professor Michael Philen is a Professor and Assistant Department Head for Laboratory Facilities in the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Polytechnic Institute and State University . He directs the Aerospace Structures and Materials Laboratory (ASML) and is a core member of the Center for Research and Engineering in Aero/Hydrodynamic Technologies (CREATe) . Education Ph.D. Mechanical Engineering, The Pennsylvania State University, 2006 M.S. Mechanical Engineering, The Pennsylvania State University, 2005 B.S. Mechanical Engineering, Texas A&M University, 1998 Research Interests Professor Philen’s research centers on adaptive structures and smart materials . He investigates how advanced actuator and sensor technologies—such as piezoelectrics, shape-memory alloys, magnetorheological fluids, and fluidic flexible matrix composites—can be integrated to create intelligent systems that adapt to external stimuli. His work spans morphing aircraft control surfaces , prosthetic sockets with adaptive fit , energy-harvesting composites , structural health monitoring , and variable-stiffness structures . Recent publications (2020–2024) demonstrate a strong emphasis on translating fundamental material science into practical biomedical and aerospace devices, with particular attention to experimental validation and multi-scale modeling. The body of work evidences a trend toward multifunctional composites that simultaneously provide structure, sensing, actuation, and energy harvesting. Honors & Awards 2020 Dean's Award for Excellence in Service 2015 AIAA Associate Fellow 2011 Dean’s Award for Excellence in Teaching 2010 Dean’s Award for Outstanding New Assistant Professor 2009 ASME Adaptive Structures and Material Systems Best Paper Award in Structural Dynamics and Control 2008–2009 Certificate of Teaching Excellence 2008 Ralph E. Powe Junior Faculty Enhancement Award (ORAU) 2008 Air Force Summer Faculty Fellowship 1998–2006 Eastman Kodak Research Fellow Service, Grants & Labs Professor Philen has served as Chair (2020–present) of the ASME Aerospace Division Adaptive Structures and Material Systems Branch Committee, and as General Chair of the 2016 ASME SMASIS Conference . He is an Associate Editor for the Journal of Intelligent Material Systems and Structures and Smart Materials and Structures , and has held numerous guest-editor roles for special issues in these journals. He directs the Aerospace Structures and Materials Laboratory (ASML) at Virginia Tech, a facility dedicated to advanced diagnostics, experimental testing, and development of adaptive structures and smart materials. ASML houses capabilities for structural dynamics, control testing, and characterization of multifunctional composites.

Jun Xuمشاهده پروفایل

دانشیار

• Battery Technology
• Material Science
• Energy Storage Systems
• +۵ مورد دیگر

Jun Xu is an Associate Professor in the Department of Mechanical Engineering at the University of Delaware, part of the College of Engineering. His research focuses on interdisciplinary energy and electrochemistry, particularly battery sustainability, advanced materials for vehicle applications, and crashworthiness analysis. He leads a group exploring electrochemo-mechanical modeling, multiscale computation, and machine learning in energy storage systems. Dr. Xu holds a PhD in Environmental Engineering/Engineering Mechanics from Columbia University. He is an Executive Committee member of the ASME Advanced Energy System Division and serves as Associate Editor for journals like Journal of Electrochemical Energy Conversion and Storage and Batteries . With over 140 peer-reviewed publications and an H-index of 46, he has been recognized in the 2022 and 2023 World Top 2% Scientists lists. His research integrates mechanics, materials science, and energy systems, addressing challenges in battery safety, durability, and lightweight structural design. Recent work emphasizes bioinspired materials for impact protection and model-driven manufacturing of high-energy-density batteries.

Vahid Abolghasemiمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Image Processing
• Compressive Sensing
• +۵ مورد دیگر

Dr. Vahid Abolghasemi is a Senior Lecturer (Associate Professor) in the School of Computer Science and Electronic Engineering at the University of Essex. He holds a PhD from the University of Surrey (2011) and has held academic positions including Assistant Professor at Shahrood University of Technology and postdoctoral research at Brunel University. His research focuses on signal/image processing, compressive sensing, machine learning, and their applications in healthcare, agriculture, and environmental monitoring. He has received the IEEE Young Investigator Award (2018) and is a Senior Member of IEEE. He serves as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and actively reviews for top journals. His grants include projects on AI-driven dashboards for retail IoT data, smart irrigation systems, and high-voltage battery management systems. Research interests include biomedical signal processing, deep compressive sensing, and anomaly detection. He supervises PhD students in areas like ECG-based coronary artery disease detection and wireless image transmission systems. Key projects involve developing AI solutions for plant disease detection, energy-efficient sensing networks, and fault diagnosis in electrical systems. His work bridges theoretical advancements with practical applications in critical sectors such as healthcare and agriculture.

Shridhar Yarlagaddaمشاهده پروفایل

دانشیار

• Multifunctional composite structures
• Composite materials design
• Composite manufacturing technologies
• +۱۱ مورد دیگر

Shridhar Yarlagadda is an Associate Professor at the University of Delaware with a secondary appointment at the Center for Composite Materials. His research focuses on multifunctional composite structures, including their design, processing, and integration. Key areas include cost-effective manufacturing of polymer and ceramic matrix composites, composites repair, magnetic materials, nanocomposites, and smart structures. His work addresses challenges in composite forming limits, thermoplastic composites recycling via TuFF technology, and advanced manufacturing processes like automated tape placement. He has developed solutions for aerospace applications such as the Exploration Extra-Vehicular Mobility Unit (xEMU) Composite Hard Upper Torso (CHUT). Yarlagadda’s research also explores electromagnetic signature management, composite micromechanics, and integration of multifunctional materials. His recent publications highlight advancements in composite durability, impact resistance, and energy storage applications using composite electrodes. He has contributed to over 50 peer-reviewed articles since 2003, spanning materials science, manufacturing, and aerospace engineering. His work bridges fundamental research with industrial applications, emphasizing sustainability through closed-loop recycling and advanced composite fabrication techniques.

Zach Ballardمشاهده پروفایل

مدرس ارشد

• Dynamics
• Renewable Energy
• Solid Mechanics
• +۷ مورد دیگر

Zach Ballard is a Senior Lecturer in the Department of Mechanical Engineering at the University of Vermont. His expertise spans dynamics, renewable energy, solid mechanics, and computational methods. He holds a B.S. from the University of Texas at Austin (2009), and M.S. and Ph.D. from Duke University (2011, 2013), where his research focused on nonlinear dynamics of ocean buoys for energy harvesting. After postdoctoral work on origami-inspired shelters at the University of Notre Dame, he joined UVM in 2015. Education: B.S., Mechanical Engineering, University of Texas at Austin, 2009 M.S., Mechanical Engineering, Duke University, 2011 Ph.D., Mechanical Engineering, Duke University, 2013 Research Interests: Dr. Ballard’s work combines computational and experimental approaches to address challenges in deployable structures, energy harvesting, and structural dynamics. His research includes: Origami-inspired deployable shelters and architecture Nonlinear dynamics of ocean buoys for renewable energy Finite element modeling of materials under extreme conditions Optimization of hinged connectors in sandwich panels Human motion dynamics for wearable energy harvesters Publications: His publications focus on structural analysis, energy harvesting systems, and deployable technologies. Recent work includes parametric studies of origami-inspired shelters, nonlinear buoy dynamics, and error minimization in vibration analysis. Teaching: He teaches core mechanical engineering courses, including Dynamics, Thermodynamics, and Computational Solid Mechanics. His classes emphasize practical applications of theoretical concepts. Labs/Teams: While no specific lab is named, his research aligns with UVM’s broader efforts in sustainable energy and structural innovation.

Svjetlana Stekovicمشاهده پروفایل

دانشیار

• Advanced Materials Science
• Aerospace Engineering
• Energy Industry Materials
• +۶ مورد دیگر

Svjetlana Stekovic is a Senior Associate Professor at the Department of Management and Engineering (IEI), Linköping University, within the Division of Engineering Materials (KMAT). Her research focuses on advanced structural materials for aerospace and energy industries, including nitriding processes, superalloys, and high-temperature materials. She has coordinated EU-funded projects such as DevTMF and AddMan, and leads initiatives like the Horizon project and the EU Horizon Europe Onto-DESIDE and SOFTWEAR projects. She is an EU Research Coordinator at IEI and a member of the management team for the Swedish Aerospace Research Center (SARC). Education & Experience: PhD in Materials Science from Linköping University (2007) 5-year research tenure at Rolls-Royce, UK Research Interests: Thermomechanical fatigue and crack propagation in superalloys Nitriding processes for titanium alloys High-temperature material behavior in gas turbines and aircraft engines Experimental characterization of mechanical properties Professional Contributions: Chair of the National Aerospace Research Program (NFFP8), Vinnova (2024–) Board member, Strategic Innovation Program for Aviation (SIP Innovair) Member of editorial boards for Materials Science and Technology and International Journal of Fatigue Member of international organizations including the Engineering Integrity Society, ECIU, and SWARMA Awards: Swedish Female Role Model in Aeronautics of the Year 2022 Teaching & Leadership: Course instructor for Metals for Lightweight Applications (TMKO03) International leadership programs under the Swedish Institute Academy Advocacy for gender equality in governance and policy-making through the ERIK program

Matylda N. Guzikمشاهده پروفایل

مدرس ارشد

• Materials Science
• Hydrogen Storage
• Energy Conversion
• +۸ مورد دیگر

Matylda N. Guzik is a Senior Lecturer at the University of Oslo's Department of Technology Systems, specializing in materials science for sustainable energy. With a PhD in Crystallography from the University of Geneva (MSCA Fellowship, HYTRAIN Research Training Network), her career includes roles at the Department of Physics (UiO) and the Institute for Energy Technology in Kjeller, Norway.

• Operating Systems
• Distributed Systems
• Computer Networks
• +۳ مورد دیگر

Andrew Tanenbaum is a Professor Emeritus at Vrije Universiteit Amsterdam, affiliated with the Faculty of Science's Computer Systems department. He holds a PhD in Physics from the University of California and a Bachelor's in Physics from MIT. His expertise spans operating systems, distributed systems, and computer networks, with a focus on fault tolerance and system security. Tanenbaum has authored seminal textbooks like 'Operating Systems: Design and Implementation' and 'Computer Networks.' He has been awarded the Eurosys Lifetime Achievement Award (2015), ACM Fellowship (1996), IEEE Fellowship (1998), and honorary doctorates (2008, 2011). His research emphasizes reliable system design, including projects like MINIX, and explores fault injection, storage systems, and live updating mechanisms. Tanenbaum has supervised 20 PhD theses and contributed to over 300 publications. His work bridges theoretical foundations with practical implementations, influencing modern operating system and network architecture.

Angelo Sotgiuمشاهده پروفایل

استادیار

• Machine Learning Security
• Adversarial Machine Learning
• Cybersecurity
• +۳ مورد دیگر

Angelo Sotgiu is an Assistant Professor at the University of Cagliari's Department of Electronic and Computer Engineering. His research focuses on machine learning security, adversarial attacks, and malware detection. He holds an MSc in Telecommunication Engineering and a PhD in Electronic and Computer Engineering from the University of Cagliari. During his PhD (2019–2023), he conducted a visiting research period at CISPA Helmholtz Center for Information Security (Saarbrücken, Germany). He has worked as a Research Collaborator for the National Interuniversity Consortium for Informatics (CINI) from 2022–2023. His work emphasizes adversarial robustness, AI security, and practical defenses against attacks on machine learning systems. Key contributions include the ImageNet-Patch dataset for adversarial patch benchmarking, the secml Python library for secure ML, and frameworks like Fader for fast adversarial example rejection. His research bridges theoretical advancements with real-world cybersecurity applications.

Yujiao Liمشاهده پروفایل

پژوهشگر

• Materials Science
• Metallurgy
• Nanomaterials
• +۳ مورد دیگر

Dr. Yujiao Li is a ZGH Scientist at the Ruhr-Universität Bochum (RUB), affiliated with the Department of Microstructure Physics and Alloy Design. She holds a PhD in Materials Science from Friedrich-Alexander-Universität Erlangen-Nürnberg (2006) and has extensive experience across academic and industrial roles, including research at the Max-Planck Institute for Eisenforschung and Georg-August-Universität Göttingen. Her research focuses on atomic-scale investigations of microstructure evolution in advanced materials, particularly in high entropy alloys, nanocrystalline steels, and interface-dominated systems. Key areas include phase stability, grain boundary segregation, and mechanical property optimization. Dr. Li has contributed to breakthroughs in understanding white etching area formation in bearings, oxidation kinetics of complex alloys, and the development of ultrastrong nanocrystalline materials. She leads projects in the ZGH Center, leveraging advanced characterization techniques like atom probe tomography and high-throughput experimentation. Education: PhD in Materials Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (2006) MSc in Metal Forming, Xi’an University of Architecture & Technology (1996) BSc in Metal Forming, Xi’an Institute of Metallurgy & Construction Engineering (1993) Labs/Teams: Part of the ZGH Center for Interface-Dominated High Performance Materials, collaborating with core facilities in atomic-scale characterization and surface analysis. Active in the Max-Planck-Gesellschaft research network.

Chun Hui Wangمشاهده پروفایل

استاد

• Advanced Composites Technologies
• Solid Mechanics
• Numerical Modelling
• +۱۰ مورد دیگر

Scientia Professor Chun Hui Wang leads the School of Mechanical and Manufacturing Engineering at the University of New South Wales (UNSW) and directs the ARC Research Hub for Connected Sensors for Health . His career includes roles at the Defence Science and Technology Organisation (1995–2009) and RMIT University ’s Sir Lawrence Wackett Aerospace Research Centre (2009–2016). Professor Wang earned his Bachelor’s degree from Huazhong University of Science and Technology (1985) and a Ph.D. from the University of Sheffield (1991). His research focuses on advanced composites , structural health monitoring , and cryogenic materials . He has pioneered lightweight composite vessels for liquid hydrogen storage and developed soft sensors for health and energy applications. Notable innovations include the Wang-Brown model in fatigue design software and time-reversal imaging algorithms for structural diagnostics. Key awards include the Scientia Professor title (2022), FTSE Fellow (2018), and multiple recognitions from RMIT and DSTO . He chairs editorial boards for journals like Composites Science and Technology and collaborates with industry leaders such as Lockheed Martin to commercialize composites and sensors. Current grants include the ARC Connected Sensors Hub (2022–2027) and projects on hybrid toughening and machine learning in additive manufacturing . He mentors nine PhD students in areas like multi-modality sensors and energy storage composites . His lab facilities include Australia’s first national laser-based non-destructive evaluation system established in 2018.

Maliki Moustaphaمشاهده پروفایل

مدرس

• Structural Engineering
• Uncertainty Quantification
• Reliability Analysis
• +۳ مورد دیگر

Dr. Maliki Moustapha is a Lecturer at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering, affiliated with the Chair of Risk, Safety and Uncertainty Quantification. He holds a master's degree in structural engineering from the French Institute for Advanced Mechanics (IFMA) and a PhD from Clermont Université and ETH Zurich, focusing on reliable lightweight automotive design under impact conditions. His current work involves advancing reliability-based design optimization techniques for the UQLab software. His research interests span uncertainty quantification, reliability analysis, surrogate modeling, and sustainable building renovation strategies. He has contributed to methodologies addressing stochastic simulators, noise-aware algorithms, and robust design under budget constraints. His work bridges engineering systems and environmental sustainability, with a focus on automotive structures and civil infrastructure resilience. Dr. Moustapha has published extensively on topics including active learning for reliability analysis, stochastic emulators, and cost-effective renovation strategies for Swiss residential buildings. His recent articles emphasize probabilistic modeling, surrogate-based optimization, and the integration of environmental and economic performance metrics in design decisions. Though no scientific awards are explicitly mentioned, his contributions to UQLab's reliability modules reflect his impactful technical leadership. He collaborates on projects involving automotive industry partners (e.g., PSA Peugeot Citroën) and contributes to software development for uncertainty quantification tools.

Nan Yuمشاهده پروفایل

مدرس ارشد

• Precision Engineering
• Plasma Technologies
• Additive Manufacturing
• +۳ مورد دیگر

Dr. Nan Yu is a Senior Lecturer/Associate Professor at the University of Edinburgh's School of Engineering, serving as Deputy Director of the MSc Digital Design and Manufacture program. He holds visiting appointments at University College Dublin (2021-2026) and Osaka University (2022-2024). Dr. Yu's expertise spans precision manufacturing, plasma technologies, and additive manufacturing, with over £1M in grant funding as PI, 50+ peer-reviewed publications, and multiple awards including the Marie Curie Fellowship (2018-2020) and Royal Academy of Engineering Industrial Fellowship (2023-2024). He earned a PhD in Precision Engineering (Cranfield University, 2017), MSc in Mechanical Manufacturing (Harbin, 2013), and BSc in Mechanical Engineering (Harbin, 2011). His professional qualifications include Fellowships from the Royal Society of Art (2022) and Higher Education Academy (2023), alongside memberships in the European Society for Precision Engineering and CIRP. Research focuses on plasma-based precision machining, additive manufacturing sustainability, and digital twin frameworks. Key contributions include innovations in plasma polishing for optics, UAV swarm strategies, and edge computing sensors. Teaching includes courses on digital manufacturing, metrology, and mechanical design projects. He chairs the 12th CIRP Global Web Conference (2024) and has delivered 10 invited/keynote talks globally. His work emphasizes interdisciplinary collaboration, bridging advanced manufacturing with emerging technologies.

Francisca Martinez-Herguetaمشاهده پروفایل

دانشیار

• Composite Materials
• Impact Mechanics
• 3D Printing
• +۲ مورد دیگر

Dr. Francisca Martinez-Hergueta is a Reader (Associate Professor) in Mechanical Engineering at the University of Edinburgh's School of Engineering. She specializes in composite materials technology with focus on lightweight structures for reducing carbon footprint in aerospace and automotive applications. Her research emphasizes digital material design and accelerated development of composite systems with enhanced impact performance. She employs coupled multiscale experimental and numerical approaches to investigate microstructure's role in catastrophic failure, tailoring features like fiber orientation to improve ductility and strength. Current work explores emerging manufacturing technologies including 3D printing, automated fiber placement, and compression molding. Recent publications examine impact response of hybrid composites, vibration damping in polymer systems, and 4D-printed electro-thermo-mechanical actuators with multi-shape capabilities.