جست‌وجوی استاد و پژوهشگر

• Materials Science
• Metallurgy
• Mechanical Engineering
• +۳ مورد دیگر

Mohammad Hoseini Athar is a Researcher at the Department of Materials Science and Engineering (MSE) at KTH Royal Institute of Technology, affiliated with the Hultgren Laboratory for Materials Characterization. He earned his PhD in Materials Science and Engineering from the University of Tehran in 2019 and has since held postdoctoral and researcher roles at KTH. His work focuses on understanding microstructure-mechanical property correlations in engineering materials, combining experimental mechanical testing with advanced materials modeling. Current projects include leading EU-funded initiatives such as REPAM (powder production/recycling optimization), Steel4Fatigue (high-strength steels for mobility), and NEXT (neutron/synchrotron-based materials innovation), as well as Vinnova-funded projects like RECaSt (durable cast steel design). His research emphasizes fatigue behavior, residual stress analysis, and alloy development for industrial applications. He leads a team of postdoctoral researchers and doctoral students, specializing in experimental and computational analysis of materials under extreme conditions. His interdisciplinary approach bridges materials characterization, mechanical behavior modeling, and sustainable manufacturing processes.

• Energy Materials
• Solid-State Batteries
• Materials Science
• +۳ مورد دیگر

Raquel Lizarraga Jurado is an Associate Professor (Docent) in Energy Materials at Kungliga Tekniska Högskolan (KTH). She holds a PhD in Physics from Uppsala University and completed postdoctoral research at Los Alamos National Laboratory. Her research focuses on atomistic modeling and first-principles methods applied to energy materials, particularly solid-state Li/Na-ion batteries, glassy electrolytes, and non-collinear magnetism in transition metals. She contributes to sustainable energy systems aligned with UN SDGs 7 (Affordable Energy) and 13 (Climate Action). Education: PhD in Physics, Uppsala University Postdoctoral Research, Los Alamos National Laboratory Docent in Energy Materials, KTH (2023) Research interests include computational materials modeling, electrochemical stability of battery materials, and phase transitions in alloys. Her work bridges fundamental physics with industrial applications in hardmetals and energy storage. She teaches Additive Manufacturing (MG2044) . Research trends: Recent publications address 2D heterostructures for photovoltaics, cemented carbide mechanics, and high-entropy alloy design. These studies emphasize computational approaches to predict material performance and guide sustainable innovation. Labs/Teams: Active within KTH's Unit of Properties, focusing on experimental/theoretical synergy in materials development.

Wolfgang Heissمشاهده پروفایل

استاد

• Semiconductor Materials
• Nanocrystals
• Perovskites
• +۳ مورد دیگر

Prof. Wolfgang Heiss is a Professor and Head of the Solution-Processed-Semiconductor-Materials (SOPSEM) group at the Friedrich-Alexander-University Erlangen-Nuremberg, Department of Materials Science and Engineering. He serves as Studiendekan III, overseeing student affairs. His research focuses on colloidal nanocrystals, metal-halide perovskites, and their applications in electronic devices, photonics, and X-ray detection. Key projects include 'Smart Windows' for dynamic transmittance control and X-ray imaging using perovskite materials, leading to the 2023 startup Amperial Windows Technologies. His group operates from the Energy-Campus-Nürnberg and offers Bachelor/Master theses in these areas. Research interests span semiconductor materials, nanocrystal synthesis, perovskite-based technologies, and advanced detector systems. Recent work emphasizes solution epitaxy for perovskite micro-crystals and their use in lasers, X-ray imaging, and energy harvesting. Notable achievements include high-sensitivity X-ray detectors and self-healing perovskite wafers, published in journals like Nature Electronics and Advanced Materials . Advisees and grants: The SOPSEM group actively mentors students through thesis projects. Collaborations and grants support innovations in nanomaterials and energy technologies. The group’s facilities at Energy-Campus-Nürnberg enable cutting-edge research in materials synthesis and device fabrication.

Samaneh Nasiriمشاهده پروفایل

پژوهشگر

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

Samaneh Nasiri is a Researcher at the Department of Materials Science and Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). She is affiliated with the Materials Simulation (MATSIM) group, focusing on computational and experimental studies of advanced materials. Her research emphasizes nanocomposites, interfacial mechanics, and atomistic simulations of metallic systems. Key areas include magnesium-silicon carbide interfaces, dislocation dynamics in aluminum-CNT composites, and fracture mechanisms in nanomaterials. She has contributed to developing manufacturing techniques for enhanced magnesium alloys and pioneered multiscale modeling approaches for graphene-Pt nanoparticle structures. Her work bridges computational materials science with practical engineering applications, leveraging ab initio methods and molecular dynamics simulations. Recent projects address challenges in lightweight materials for aerospace and automotive industries through studies on metal-coated nanotube reinforcements and dislocation interactions in crystal defects. Her research is published in journals like Metals , Materialia , and Acta Materialia . Dr. Nasiri collaborates with Erlangen's Materials Science community and participates in FAU's interdisciplinary research initiatives. She maintains an active presence on academic platforms including ResearchGate and Google Scholar.

• Optical Materials
• Nonlinear Optics
• Laser Spectroscopy
• +۵ مورد دیگر

Professor Denise M. Krol is a materials scientist at the University of California, Davis, affiliated with the Department of Materials Science and Engineering within the UC Davis College of Engineering. Her research focuses on femtosecond laser processing of optical materials, particularly in ternary zinc phosphate glasses and fused silica. Key interests include nanostructuring, waveguide fabrication, and applications in bio-sensing, data storage, and optical signal processing. She explores laser-material interactions at ultrafast timescales, plasma dynamics, and structural modifications induced by femtosecond pulses. Her work spans from fundamental studies of warm dense matter in silicon dioxide to applied projects like fiber Bragg gratings and semiconductor-doped glasses. Recent projects investigate hydrogen loading effects and compositional impacts on laser-induced defects, while earlier contributions include pioneering femtosecond laser writing techniques for photonic structures. Prof. Krol has also applied Raman spectroscopy and laser tweezers to microbiological studies, analyzing bacterial responses to antibiotics. Publications highlight her expertise in ultrafast laser-material interactions, structural characterization of modified materials, and the development of novel optical devices. Current research integrates semiconductor nanoparticles into glass matrices for advanced photonic applications. She maintains an active lab group focused on femtosecond laser processing and spectroscopic analysis, with collaborations in both academia and industry.

Yang Liuمشاهده پروفایل

مدرس

• Computational Materials Science
• Crystal Plasticity Modeling
• Fatigue and Creep Analysis
• +۴ مورد دیگر

Dr. Yang Liu is a Lecturer in Mechanical Engineering at the University of Leicester, joining in February 2024. Prior to this, he held a postdoctoral position at Imperial College London, focusing on fatigue, creep-fatigue, and hydrogen-related issues in aerospace and nuclear industries. His research integrates micro-mechanical experiments with computational models to address industrial challenges in materials science and engineering. His academic background includes extensive work on crystal plasticity modeling, hydrogen embrittlement in zirconium alloys, and the mechanical behavior of advanced materials under extreme conditions. Key focus areas include the development of multiscale models to predict material responses to thermomechanical loading, irradiation damage, and environmental effects. Dr. Liu's recent publications highlight advancements in understanding hydride precipitation mechanisms, strain rate sensitivity in zirconium alloys, and fatigue nucleation in titanium alloys. His work bridges fundamental material science with practical industrial applications, particularly in aerospace and nuclear sectors. His research is characterized by a strong emphasis on combining experimental data with advanced computational techniques, such as crystal plasticity finite element modeling and uncertainty quantification. Collaborations with industry stakeholders ensure his findings address real-world challenges in material design and performance optimization.

Duncan M. Walkerمشاهده پروفایل

استاد

• Integrated Circuit Test
• Defect-Based Test
• Delay Test
• +۴ مورد دیگر

Duncan M. Walker is an Associate Dean for Graduate Programs and Professor in the Department of Computer Science & Engineering at Texas A&M University. He holds a Ph.D. in Computer Science from Carnegie Mellon University (1986) and has been a faculty member since 2006. His research focuses on integrated circuit testing, defect-based testing, delay faults, IDDQ testing, fault diagnosis, and yield prediction. Walker has held leadership roles including Department Head (2011–2013) and Graduate Advisor. His awards include the ACM Distinguished Scientist (2014), Charles W. Crawford Service Award (2009–2010), and multiple Texas A&M fellowships. He teaches courses on software engineering and professional development for faculty. His research lab (EDA Lab) explores cutting-edge testing methodologies for VLSI circuits, including resistive fault modeling, outlier identification using neighbor current ratios, and parametric yield analysis. Recent work addresses challenges in deep-submicron IC testing and built-in current sensor design. Education: B.S. (Caltech, 1979), M.S. (CMU, 1984), Ph.D. (CMU, 1986) Professional Activities: IEEE Test Conference Program Committee (2020–present), Design Automation & Test in Europe (2018–present) Labs/Teams: EDA Lab, collaborating on defect-based testing and fault modeling Publications emphasize practical testing solutions for emerging semiconductor technologies, with over 40 refereed papers in venues like IEEE VLSI Test Symposium and IEEE Transactions on CAD.

Ruwan Tennakoonمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Computer Vision
• Medical Imaging
• +۳ مورد دیگر

Dr. Ruwan Tennakoon is a Senior Lecturer in Artificial Intelligence at RMIT University's School of Computing Technologies in Melbourne, Australia. He holds a BSc (Hons) in Electrical and Electronics Engineering from the University of Peradeniya and a PhD in Computer Vision from Swinburne University of Technology (2015). Prior to his current role, he held post-doctoral positions at RMIT School of Engineering and IBM Research. His research focuses on robust computer vision, particularly in medical imaging and industrial automation. Key areas include distribution shift challenges, large vision foundation models, and robust algorithms for low-level vision tasks. His work spans applications like medical image analysis, autonomous systems, and defect detection in manufacturing. Ruwan has supervised numerous research projects, including those on threat detection, medical imaging AI, and industrial automation. He teaches courses in computer vision and machine learning, emphasizing practical applications. His research has been published in top-tier venues such as ACM Transactions on Intelligent Systems and Technology and Medical Image Analysis .

Weiping Shiمشاهده پروفایل

استاد

• VLSI Design
• Integrated Circuit Design
• Computer-Aided Design (CAD)
• +۵ مورد دیگر

Weiping Shi is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, part of the College of Engineering. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and M.S./B.S. degrees from Xian Jiaotong University. His research focuses on VLSI CAD, including physical design optimization, parasitic extraction, fault diagnosis, and electromagnetic analysis. He is particularly known for contributions to capacitance extraction algorithms, buffer insertion techniques, and power system simulation methods. Dr. Shi’s awards include the IBM Faculty Award, two Best Paper Awards at Design Automation Conferences, and election as an IEEE Fellow. His work bridges theoretical algorithm development with practical applications in semiconductor design and power systems. He maintains an active research lab and contributes to industry-relevant solutions for integrated circuit challenges. His office is located in 333K Wisenbaker Engineering Building (WEB), and he can be reached at wshi@tamu.edu . Education: Ph.D., University of Illinois at Urbana-Champaign M.S., Xian Jiaotong University B.S., Xian Jiaotong University Awards & Honors: IBM Faculty Award Best Paper Award, Design Automation Conference Best Paper Award, Asia and South Pacific Design Automation Conference IEEE Fellow Research Focus: Computer-Aided Design (CAD) of VLSI systems 3D capacitance and inductance extraction Optimal buffer insertion algorithms Electromagnetic transient simulation Defect diagnosis and process variation analysis Advancing Technology: His recent work integrates machine learning for defect classification and hierarchical algorithms for power system simulation, reflecting a commitment to both foundational research and industrial impact.

Moon Seung Kiمشاهده پروفایل

دانشیار

• Additive Manufacturing
• 3D Printing
• Digital Twins
• +۷ مورد دیگر

Assoc. Prof. Moon Seung Ki is an Associate Professor at the School of Mechanical & Aerospace Engineering, Nanyang Technological University (NTU), Singapore. He serves as Assistant Chair (Research) and leads the Design Sciences Laboratory, focusing on additive manufacturing, digital twins, and sustainable design. His work bridges engineering fundamentals with advanced technologies like AI and IoT to innovate in smart manufacturing systems. Education: Ph.D. in Industrial Engineering, Pennsylvania State University (2008) M.S. and B.S. in Industrial Engineering, Hanyang University, South Korea (1995, 1992) Research Interests: His research spans additive manufacturing processes (e.g., 3D printing, laser deposition), design optimization for customization, smart factories, and sustainability. Key areas include modular product architectures, embedded sensor integration, and digital twin applications for real-time production monitoring. Grants & Projects: Leading over 30 funded projects, including Singapore’s National Additive Manufacturing Innovation Cluster and collaborations with industries like Hyundai, ST Aerospace, and Samsung. Recent grants focus on 3D printing for automotive components, AI-driven alloy design, and smart factory digital twins. Labs & Teams: He directs the Design Sciences Laboratory, a hub for interdisciplinary research in additive manufacturing, product lifecycle management, and Industry 4.0 technologies. The lab emphasizes practical applications such as customized medical devices and aerospace components.

Hua Luمشاهده پروفایل

استاد

• Experimental Mechanics
• Reliability of Structures and Devices
• Solid Mechanics
• +۵ مورد دیگر

Dr. Hua Lu is a Professor in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University. His research focuses on experimental mechanics and reliability analysis of microelectronic packaging and mechatronic systems. He is affiliated with the Laboratory for Experimental Mechanics Research and actively contributes to advancements in thermal-mechanical performance characterization. Education: BSc, Tianjin University, 1968 MSc, Tianjin University, 1982 PhD, Stony Brook University, 1989 Dr. Lu's research interests center on experimental solid mechanics, with emphasis on microelectronic packaging reliability, thermal-mechanical behavior of thin structures, and optical methods for deformation measurement. His work bridges mechanical engineering with electronics manufacturing, focusing on failure prediction and performance optimization of advanced packaging technologies. He applies inverse methods, computer vision, and fiber-optic sensing to real-world reliability challenges in microsystems. The recent publications highlight a strong trend in developing and applying advanced experimental techniques—particularly inverse modeling, optical diagnostics, and sensor integration—to assess reliability in microelectronics. These works span disciplines including mechanical behavior of materials, thermal analysis, and structural health monitoring, with consistent focus on flip-chip and PBGA technologies. Professional Affiliations: Surface Mounting Technology Association (SMTA) International Dr. Lu leads the Laboratory for Experimental Mechanics Research, where experimental techniques are developed and applied to structural and electronic system reliability. While specific grant details and student advising records are not listed, his publication record indicates active research supervision and project leadership in experimental mechanics and microelectronics packaging. His work supports innovation in durable, high-performance electronic systems.

Richard B. Stephensمشاهده پروفایل

استاد مدعو

• Solid State Physics
• Disordered Solids
• Theoretical Physics Simulations
• +۳ مورد دیگر

Richard B. Stephens is an Adjunct Professor in the Department of Physics and Astronomy at the University of Pennsylvania's School of Arts & Sciences. His research focuses on disordered solids, low-energy excitations in amorphous materials, and plasma physics applications in inertial confinement fusion. He has contributed to experimental and theoretical studies of laser-generated hot electrons, cone-guided fast ignition systems, and x-ray diagnostic techniques. Education: PhD in Solid State Physics from Cornell University (1974), M.S. in Physics (1968), and A.B. in Physics (Magna Cum Laude, Honors) from the University of Pennsylvania (both 1968). Research interests include simulating zero-energy states in disordered materials, studying a-Se glass dynamics, and advancing experimental setups for mapping state densities. His theoretical work bridges packed sphere simulations with physical systems. He collaborates with institutions like the Naval Research Laboratory and has served as Chair of the DOE HEDLP RENEW program. Publications span plasma physics, condensed matter, and optics, with recent work addressing hot electron divergence in cone geometries and fusion target implosion dynamics. His earlier research includes surface plasmon phenomena and stress effects on amorphous materials.

Monize Caiado Decarliمشاهده پروفایل

استادیار

• Bioprinting
• Tissue Engineering
• Hydrogel Development
• +۵ مورد دیگر

Dr. Monize Caiado Decarli serves as Assistant Professor in Biomedical Engineering at the University of Groningen's Faculty of Medical Sciences, leading the Bioprinting and Biofabrication Group within the Department of Biomaterials and Biomedical Technology (BBT/UMCG). Her research bridges clinical applications at UMCG with cutting-edge tissue engineering through four integrated pillars: biomaterials development, anatomical design, advanced manufacturing, and biological response analysis. Her educational trajectory includes a 2021 PhD through a double-degree program between Maastricht University and the University of Campinas, followed by postdoctoral work at MERLN Institute and completion of the MIT Catalyst Program in 2024 for biomedical innovation leadership. Research interests span bioprinting , humanized hydrogels , and 3D disease modeling , with strong emphasis on clinical translation using blood-derived materials and extracellular vesicles. Recent publications demonstrate a cohesive focus on vascular and ligament regeneration using xanthan gum-iron systems, blood-based bioinks, and multimaterial bioprinting. Her work consistently addresses Mechanical reinforcement of hydrogels Embedded bioprinting techniques Clinically relevant tissue mimetics with applications in cardiovascular and musculoskeletal repair. Awarded the 2023 Best Oral Presentation Prize by the International Society for Regenerative Medicine, her scientific contributions are recognized through: 21 research outputs including patents and high-impact journal articles Active supervision of three PhD projects targeting osteochondral defects, cardiovascular engineering, and vascular grafts Leadership in the Netherlands Society for Biomaterials and Tissue Engineering Dr. Decarli directs bioprinting activities within UMCG's ML-II facility, utilizing cutting-edge technologies to encapsulate human cells and organoids. Her group collaborates internationally on projects advancing tissue regeneration, with strong alignment to UN Sustainable Development Goals through biomedical innovation.

Jaime Camelioمشاهده پروفایل

استاد

• Cyber-Physical Systems Security
• Smart Manufacturing
• Statistical Process Control
• +۷ مورد دیگر

Jaime Camelio is a Professor at the University of Georgia's School of Electrical & Computer Engineering, specializing in cyber-physical systems security, smart manufacturing, and statistical process control. His work integrates advanced technologies like machine learning, reinforcement learning, and Bayesian inference to enhance manufacturing resilience and safety. He focuses on vulnerabilities in production systems, digital twin applications, and data-driven quality control. His research spans aerospace composites, IIoT-enabled worker well-being monitoring, and synthetic data frameworks for manufacturing simulations. Research interests include cybersecurity in additive manufacturing, occupational safety monitoring via statistical control charts, and innovative approaches to fault detection in assembly systems. He leads projects funded by NSF CPS initiatives, such as collaborative research on manufacturing security and cyber-physical vulnerability assessments. His work bridges theoretical advancements with real-world applications in aerospace, automotive, and industrial IoT sectors. Scientific contributions include frameworks for digital thread integration in product lifecycle management and NURBS-based statistical monitoring of manufacturing surfaces. Publications emphasize both technical innovations and systemic risk mitigation strategies for modern manufacturing ecosystems. His lab explores cutting-edge topics like LLM applications in manufacturing workflows and random sampling strategies to counteract cyber-physical attacks.

• Corrosion Engineering
• Materials Science
• Additive Manufacturing
• +۵ مورد دیگر

Iris De Graeve is a Professor at the Vrije Universiteit Brussel (VUB), affiliated with the Faculty of Engineering and Architecture and the Department of Materials Engineering. She holds an additional role as Head of a Research Group focused on Sustainable Materials Engineering. Her research interests center on corrosion mechanisms in advanced materials, particularly additive manufacturing (AM) components like stainless steels and nickel-based alloys. She actively leads projects addressing corrosion protection in AM applications, liquid metal corrosion, and material microstructural analysis. De Graeve has authored over 200 peer-reviewed publications and secured multiple research grants including the Ishango Wetenschapsprijs (2002) and Solvay Awards (2003). Her recent work emphasizes AM process-structure-property relationships, with studies on WAAM (welding AM), Pb-Bi eutectic corrosion, and stress-induced passivity degradation in Ni-based alloys. She frequently participates in PhD committees and international conferences, showcasing her leadership in materials engineering education and industry collaboration. Key projects include 'Open corrosion data for additively manufactured alloys' (2024-2026) and 'COLOURAL: R&D for advanced AM applications' (2025-2028). Her lab focuses on developing self-healing coatings and corrosion-resistant materials for aerospace and industrial uses. Recent articles highlight her team's advancements in understanding corrosion mechanisms in AM components under extreme conditions.