جستجوی استاد راهنمای دانشگاهی

Jack Beuthمشاهده پروفایل

استاد

• Additive Manufacturing
• Manufacturing Processes
• Solid Mechanics
• +۶ مورد دیگر

Jack Beuth is a Professor of Mechanical Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He has been on the faculty since 1992 and leads the NextManufacturing Center, focusing on additive manufacturing (AM) research. His work emphasizes process mapping for AM, material science, and machine learning integration in manufacturing processes. Key affiliations include the Engineering Research Accelerator and the Manufacturing Futures Institute. Education: Ph.D. in Engineering Sciences, Harvard University (1992) M.S. in Engineering Sciences, Harvard University (1989) M.S. in Engineering Science and Mechanics, Virginia Tech (1987) B.S. in Engineering Science and Mechanics, Virginia Tech (1984) Research Interests: Additive Manufacturing (process modeling, material characterization, and defect analysis) Melt pool dynamics and thermal modeling Machine learning for process optimization and quality control Advanced materials for AM (e.g., Ti-6Al-4V, Inconel 718) His research has led to innovations like 'process map' approaches for AM, enabling better control over variables such as melt pool geometry and microstructure. Awards and Recognition: Ralph R. Teetor Educational Award (1998) George Tallman and Florence Barrett Ladd Development Professorship (2000) ASME Curriculum Innovation Award (2005) Benjamin Richard Teare Teaching Award (2009) Grants and Collaborations: $3.5M cooperative agreement with the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory (ARL) for AI-driven AM process optimization. Collaborations with Westinghouse Electric Company on 3D-printed nuclear components, such as spacer grids for pressurized water reactors. Labs and Teams: NextManufacturing Center: A research hub for AM innovation, emphasizing industrial partnerships and applied research. Beuth’s Additive Lab: Specializes in melt pool analysis, process mapping, and material behavior under AM conditions.

Nuh Gedikمشاهده پروفایل

استاد

• Condensed Matter Experiment
• Quantum Materials
• Ultrafast Spectroscopy
• +۵ مورد دیگر

Nuh Gedik is the Donner Professor of Physics at MIT, leading the Gedik Research Group. His work focuses on quantum materials, employing advanced optical and electron spectroscopies. He joined MIT in 2008 as an Assistant Professor, earned his B.S. from Bogazici University (1998), and Ph.D. from UC Berkeley (2004) before postdoctoral work at Caltech. His awards include NSF CAREER, DOE Early Career, Sloan Fellowship, and APS Fellow recognition. Research interests include ultrafast dynamics in topological insulators, charge density waves, and light-induced phenomena. Key techniques include time-resolved ARPES, ultrafast electron diffraction, and terahertz spectroscopy. His group explores hidden orders in quantum materials and develops novel measurement tools. Recent work includes metastable magnetization control in FePS₃ and Floquet-Bloch states in graphene. Affiliated with the MIT Center for Quantum Engineering and Institute for Soldier Nanotechnologies.

Vadim Lozinمشاهده پروفایل

استاد

• Graph theory
• Combinatorics
• Discrete Mathematics
• +۴ مورد دیگر

Vadim Lozin is a Professor of Mathematics at the University of Warwick, affiliated with the Department of Mathematics within the School of Mathematics. His research interests span graph theory, combinatorics, and discrete mathematics, focusing on areas such as clique-width, Ramsey numbers, and structural graph theory. He has held visiting positions at institutions including the Université Paris-Dauphine, EPFL, and KAUST. Lozin has received several accolades, including the Best Paper Award for 'Linear Ramsey numbers' in 2018 and a 2024 award at the International Symposium on Algorithms and Computation. His work involves collaborations with global researchers and contributions to conferences like IWOCA and WG. Lozin serves on editorial boards for journals such as Discrete Applied Mathematics and Electronic Notes in Discrete Mathematics . His research explores foundational problems in graph theory, with applications in algorithm design and complexity analysis. Lozin’s publications include studies on union-closed sets, functional graph properties, and algorithmic approaches to graph parameters. He has also contributed to books like Words and Graphs , bridging formal language theory with graph structures. His grants focus on clique-width and stability in graphs, reflecting his commitment to advancing theoretical and applied discrete mathematics.

Jun Liuمشاهده پروفایل

استادیار

• Advanced energy materials
• Nano/micro-mechanics
• Self-powered electronics and systems
• +۲ مورد دیگر

Jun Liu is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the School of Engineering and Applied Sciences, University at Buffalo. His research focuses on advanced energy materials, nano/micro-mechanics, and self-powered systems, with applications in triboelectric energy harvesting and scanning probe microscopy. Education: PhD, Materials Engineering, University of Alberta (2018) MS, Materials Science, Shanghai University (2015) BE, Materials Science and Engineering, Nanchang University (2012) Research Interests: Development of tribovoltaic and triboelectric systems for self-powered electronics Mechanical energy harvesting via dynamic heterojunctions and Schottky contacts 3D-printed hydrogel structures for energy absorption and flexible electronics Nanoscale characterization using atomic force microscopy Design of nanocomposite sensors and catalytic materials Publication Trends: His work emphasizes triboelectricity, nanoscale energy conversion, and sustainable materials. Recent articles explore bionic tactile sensing, tunable hydrogels, and quantum dynamics in sliding interfaces. Awards: SONY Faculty Innovation Award (2021) Nature Springer MINE Young Scientist Award (2020) International Contest of Applications in Nano/Micro Technology Prize (2013) Laboratory: Advanced Energy Materials and Nanomechanics Lab at University at Buffalo.

Humberto Terrones Maldonadoمشاهده پروفایل

استاد

• 2-Dimensional Materials
• Complex 3-D Atomic Structures
• Solid State and Condensed Matter Physics
• +۲ مورد دیگر

Humberto Terrones Maldonado holds the Rayleigh Endowed Chair Professor position in the Department of Physics, Applied Physics and Astronomy at Rensselaer Polytechnic Institute (RPI). An internationally recognized scholar, he has served as an invited professor at numerous institutions including the University of Louvain (UCL, Belgium), Federal University of Ceará (UFC, Brazil), Shinshu University (Japan), Oak Ridge National Laboratory (ORNL, USA), Penn State University (USA), and the University of Sussex (UK). He is a member of the World Academy of Sciences (TWAS) and the Mexican Academy of Sciences. His educational background includes: PhD, University of London (Birkbeck), UK BSc, Iberoamericana University, Mexico Professor Terrones pioneered the concept of curvature in graphite and graphene in 1991, introducing Schwarzites—graphitic structures with negative Gaussian curvature. His research focuses on electronic, optical, mechanical, and chemical properties of few-layered 2D materials and their application in novel 3D nanostructures. Key areas include: 2-Dimensional Materials Complex 3-D Atomic Structures Solid State and Condensed Matter Physics Nanoscience and Nanotechnology Nonlinear Optics His recent publications (2022-2025) reveal a strong emphasis on transition metal dichalcogenides, defect engineering, machine learning for materials design, and energy applications. Work spans experimental characterization of heterostructures, computational simulations of lattice mechanics, and innovative synthesis techniques like liquid metal exfoliation. His notable scientific awards and honors include: Rayleigh Endowed Chair Member of the World Academy of Sciences (TWAS) Member of the Mexican Academy of Sciences

Yiyu Yaoمشاهده پروفایل

استاد

• Three-way Decisions
• Granular Computing
• Rough Sets
• +۸ مورد دیگر

Yiyu Yao is a Professor in the Department of Computer Science at the University of Regina, Faculty of Science. He holds a B.Eng. from Xi'an Jiaotong University and earned both his M.Sc. and Ph.D. from the University of Regina. His office is located in College West 308.6, and he can be reached at Yiyu.Yao@uregina.ca or by phone at (306) 585-5226. Dr. Yao's research spans multiple interconnected domains in intelligent systems. His primary focus is on three-way decisions, which serves as a unifying framework for his work in granular computing, rough sets, and decision-theoretic models. He has developed significant theoretical contributions to decision-theoretic rough sets (DTRS) and probabilistic rough sets, creating bridges between uncertainty management and practical decision-making applications. His work extends to web intelligence, information retrieval systems, and multiview data analysis, where he applies his theoretical frameworks to real-world problems in data science and artificial intelligence. Analysis of Dr. Yao's recent publications reveals a strong continuing focus on three-way decision theory, with increasing applications across diverse domains. His work demonstrates evolution from foundational theoretical contributions to sophisticated applications in multi-criteria decision making, conflict analysis, and explainable AI. The research shows integration of granular computing principles with modern machine learning techniques, particularly in handling uncertainty and developing interpretable models. Recent publications indicate growing interest in the intersection of three-way decisions with fuzzy sets, shadowed sets, and cognitive approaches to data analysis. Dr. Yao has mentored numerous graduate students and has hosted many visiting scholars, primarily from Chinese institutions including Nanjing University Posts and Telecommunication, Harbin Normal University, Shaanxi Normal University, and others. He serves as Area Editor on Rough Sets for the International Journal of Approximate Reasoning and as Associate Editor for Information Sciences. He is also Associate Editor-in-Chief for the Journal of Emerging Technologies in Web Intelligence and serves on multiple editorial boards including LNCS Transactions on Rough Sets and Web Intelligence and Agent Systems. He has organized significant conferences including the International Joint Conference on Rough Sets (IJCRS 2017) and served on the Steering Committee for the International Symposium on Fuzzy and Rough Sets.

Nuri Yazdaniمشاهده پروفایل

مدرس

• Nanotechnology
• Materials Science
• Nanocrystals
• +۷ مورد دیگر

Nuri Yazdani is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich, Switzerland. Based at the Institute for Electronics (Institut für Elektronik) in Zurich, Dr. Yazdani contributes to both teaching and research in advanced materials and nanotechnology. His work spans multiple interdisciplinary areas connecting physics, chemistry, and electrical engineering, with particular emphasis on nanocrystal-based materials and their applications in electronics and optoelectronics. Dr. Yazdani's research focuses on the synthesis, characterization, and application of nanomaterials, particularly semiconductor nanocrystals and quantum dots. His work explores the fundamental physical properties of these materials, including exciton-phonon interactions, structural ordering in multicomponent systems, and charge transport mechanisms in nanocrystal assemblies. He investigates how nanoscale phenomena affect macroscopic material properties, with applications ranging from catalysis to optoelectronic devices. His approach combines experimental techniques like small-angle X-ray scattering with theoretical modeling to understand structure-property relationships in nanomaterials. Analysis of Dr. Yazdani's recent publications reveals a strong emphasis on perovskite and chalcogenide nanocrystals, with particular interest in how structural features like cation distribution, octahedral tilting, and surface chemistry affect optical and electronic properties. His work bridges fundamental physics with practical applications, spanning from quantum optics to energy conversion technologies. A recurring theme is the investigation of size-dependent phenomena and the role of phonons in determining material behavior at the nanoscale. Dr. Yazdani collaborates extensively with researchers across multiple institutions and disciplines, as evidenced by his authorship on numerous multi-investigator publications. His work appears in high-impact journals including Nature Communications, Journal of the American Chemical Society, and Nature Physics, reflecting the significance and interdisciplinary nature of his contributions to nanoscience and nanotechnology.

LU Wen Fengمشاهده پروفایل

دانشیار مدعو

• Additive Manufacturing
• Robotics
• Smart Manufacturing
• +۴ مورد دیگر

LU Wen Feng is an Adjunct Associate Professor in the Department of Mechanical Engineering at the National University of Singapore (NUS), affiliated with the College of Design and Engineering. His research focuses on advanced manufacturing technologies, including additive manufacturing, robotics, and AI-driven systems. He explores sustainable design methodologies, smart manufacturing innovations, and bioprinting applications. Key areas include optimizing material processes, enhancing mechanical properties of printed materials, and developing autonomous robotic solutions for industrial tasks. Contact: mpelwf@nus.edu.sg , located at E3-02-07. Research Interests : His work bridges AI and manufacturing, emphasizing Knowledge graph integration for additive manufacturing, Autonomous robotic systems in industrial settings, Bioprinting for tissue repair with smart bioinks, Topology optimization for lightweight and sustainable structures, Material characterization and process engineering for 3D-printed composites. Recent Article Trends : LU Wen Feng's 2025 articles highlight advancements in AI-augmented manufacturing systems (e.g., MaViLa, AutoMEX) and sustainable design workflows. His 2024 studies address material anisotropy, corrosion behavior, and topology optimization strategies for lattice structures. These trends reflect his interdisciplinary approach to solving challenges in additive manufacturing, robotics, and biomedical applications. Awards : No scientific awards explicitly mentioned. Advising & Grants : No current graduate students or grants listed. His research likely integrates industry-academia collaborations given the focus on applied manufacturing technologies. Labs/Teams : Not explicitly detailed, but his work suggests involvement in advanced manufacturing labs and AI-robotics teams at NUS.

Vijay Vaziraniمشاهده پروفایل

استاد

• Algorithmic Game Theory
• Matching Markets
• Computational Complexity
• +۶ مورد دیگر

Vijay Vazirani is a Distinguished Professor in the Department of Computer Science at the University of California, Irvine , where he directs the ACO Center @ UCI . He earned his Ph.D. in Computer Science from UC Berkeley and a S.B. from MIT. Vazirani is a Guggenheim Fellow , ACM Fellow , and 2022 INFORMS John von Neumann Theory Prize recipient. Research Areas: Algorithmic Game Theory, Matching Markets, Computational Complexity, Approximation Algorithms His groundbreaking work includes co-founding algorithmic game theory and solving a 30-year-old problem with an NC algorithm for perfect matching in planar graphs . Recent research focuses on matching-based market design, with a $500K NSF grant for advancing algorithms in matching and market equilibria. His 15 most recent papers explore topics like core imputations, stable matching lattices, and Nash bargaining solutions. Scientific Awards: Guggenheim Fellowship ACM Fellow 2022 INFORMS John von Neumann Theory Prize Vazirani advises numerous Ph.D. students and postdocs, including Tung Mai , Thorben Trobst , and Rohith Reddy Gangam . He contributes to major workshops and co-edited foundational texts like Algorithmic Game Theory and Online and Matching-Based Market Design .

Caterina Ducatiمشاهده پروفایل

استاد

• Nanomaterials
• Electron Microscopy
• Materials for Energy Applications
• +۶ مورد دیگر

Caterina Ducati is a Professor of Nanomaterials at the Department of Materials Science & Metallurgy, University of Cambridge. Her research focuses on nanomaterials, their structure-property relationships, and applications in energy technologies, particularly photovoltaics, photocatalysis, and optoelectronics. Research Interests: In situ electron microscopy of nanomaterials under external stimuli (electrical, thermal, photonic), growth mechanisms of nanostructures (carbon nanotubes, semiconductor nanowires), and degradation processes in energy devices. Methodologies: Advanced characterization via HAADF STEM, TEM, and development of tools for real-time nanoscale observation. Recent publications highlight her work on perovskite solar cells, battery materials (Li, Zn, Na-ion), and ferroelectric thin films. She actively investigates degradation mechanisms in energy devices and develops novel fabrication techniques for nanocomposites. Scientific Recognition: A&B Post-doctoral Fellowship winners (institutional award) She supervises research groups utilizing the Wolfson Electron Microscopy Suite and contributes to interdisciplinary collaborations in materials for sustainability and healthcare applications.

• Meso-scale materials
• Soft matter physics
• Granular materials
• +۷ مورد دیگر

Associate Professor Mohammad Saadatfar is affiliated with the School of Civil Engineering at The University of Sydney. His research focuses on meso-scale materials, combining experiments with simulations to address challenges in environmental science, biomedical engineering, and advanced materials design. Key areas include the study of cellular solids, granular materials, and meta-materials. His work integrates physics, engineering, and biology, with applications to CO₂ geo-sequestration, bone implants, and mechanical meta-materials. He uses X-ray tomography, FE simulations, and topological analysis to explore material behavior. Recent publications span topics like additive manufactured foams, CO₂ flow dynamics in sandstone, and biomimetic wood structures. His contributions highlight interdisciplinary approaches to material science and engineering challenges. No scientific awards or student advisement details are explicitly mentioned in the provided text.

Georg Fantnerمشاهده پروفایل

دانشیار

• Bioinstrumentation
• Nanotechnology
• Scanning Probe Microscopy
• +۳ مورد دیگر

Georg Fantner is an Associate Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) with dual appointments in the School of Engineering (STI) within the Institute of Bioengineering and the School of Life Sciences (SV) for teaching. He directs the Laboratory for Bio- and Nano-Instrumentation (LBNI) and holds leadership roles including President of the Open Science Strategic Committee and the Association des Professeurs de l'EPFL. Research Focus: Bioinstrumentation, Nanotechnology, Scanning Probe Microscopy, and Metrology Teaching: Structural Mechanics for Life Sciences, Metrology, and Metrology Practicals His research pioneers advanced instrumentation for nanoscale characterization, emphasizing data-driven approaches to enhance microscopy techniques. Recent work integrates deep learning with scanning probe microscopy for real-time biological imaging and develops novel MEMS devices for fluid-compatible nanoscale manipulation. Key innovations include hermetically sealed sample chambers for pathogen studies and deterministic nanotopography engineering. Professor Fantner actively mentors 7 current PhD students and has supervised 14 graduates. His laboratory fosters interdisciplinary collaboration across engineering, physics, and life sciences to advance nanoscale measurement technologies and instrumentation development.

Cheuk Wai Taiمشاهده پروفایل

پژوهشگر

• Structure-Property Relationships
• Functional Materials
• Electron Microscopy
• +۶ مورد دیگر

Cheuk Wai Tai is a Senior Staff Researcher at Stockholm University's Department of Environmental and Materials Chemistry since 2009. He manages the transmission electron microscopes and sample preparation equipment at the Electron Microscopy Center and serves as Section Editor for the Journal of Electronic Materials. His work focuses on quantitative structure characterization in functional materials research, particularly within nanoscience and nanotechnology contexts. Education: Ph.D. in Applied Physics, The Hong Kong Polytechnic University, 2004 M.Phil. in Applied Physics, The Hong Kong Polytechnic University, 2001 M.Sc. in Physics, The Chinese University of Hong Kong, 1998 B.Sc. (Hons) in Engineering Physics, The Hong Kong Polytechnic University, 1997 Dip. in Mechanical Engineering (Computer Aided Engineering), Institute of Vocational Education (formerly Haking Wong Technical Institute), Hong Kong, 1992 His research centers on structure-property relationships in functional materials through advanced electron microscopy techniques. Current specializations include Pair Distribution Function (ePDF) & Diffuse Scattering, Energy Materials characterization, and EM sample preparation methodology development. The group maintains strong focus on translating structural data into functional performance metrics for nanomaterials. Recent publications (2013-2019) demonstrate consistent emphasis on electron microscopy applications for energy storage materials (batteries, photocatalysts) and functional ceramics. Key trends include structural disorder analysis in piezoelectrics, development of quantitative TEM methods like SUePDF, and nanoscale characterization of electrocatalyst surface phases. His work bridges materials chemistry with advanced imaging techniques. Scientific recognition includes: Fellow of The Royal Microscopical Society (U.K.) Senior Member of IEEE Marie Curie Fellowship (2007-2009) from European Commission Sir Edward Youde Memorial Fellowship (2003/2004) from Hong Kong S.A.R. Government He teaches Solid State Chemistry (KZ7003) and leads Introduction to Analytical Electron Microscopy (KZ8009), having previously taught Advanced Transmission Electron Microscopy (KZ8010) before 2011. Major grants supporting his work include: "Quantitative structural characterisation using 3D electron-based pair distribution function" (Swedish Research Council) "A Multidimensional Toolkit for Modern Electron Microscopy" (Swedish Foundation for Strategic Research) "Mitigating Ni-rich Li-ion cathode side-reactions" (Swedish Energy Agency, Co-applicant) He leads the Cheuk-Wai Tai group within Stockholm University's chemistry department and oversees operations at the Electron Microscopy Center, where his team develops and applies advanced characterization techniques for functional materials research.

Joseph Checkelskyمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Materials
• Topological Materials
• +۳ مورد دیگر

Joseph Checkelsky is a Professor of Physics at the Massachusetts Institute of Technology (MIT), holding the Mitsui Career Development Professorship and serving as Undergraduate Program Coordinator. His research is conducted through the Checkelsky Lab with affiliations spanning the Condensed Matter Experiment Group (CMX), MIT Materials Research Laboratory, and Research Laboratory of Electronics (RLE). His educational trajectory includes a B.S. in Physics from Harvey Mudd College (2004) and a Ph.D. in Physics from Princeton University (2010), followed by postdoctoral work at RIKEN in Japan and a lectureship at the University of Tokyo prior to joining MIT in 2014. Checkelsky's research centers on exotic electronic states of matter through quantum material synthesis, measurement, and control. His lab investigates correlated behavior in topologically non-trivial materials, geometrical phases in electronic systems, and novel geometric frustration phenomena. The experimental methodology integrates solid-state physics, chemistry, and nanoscience, employing transport/thermodynamic measurements, bulk crystal/thin-film growth, and nanoscale device fabrication to probe quantum mechanical condensed matter systems. Publication analysis reveals dominant themes in topological materials (kagome metals, pyrochlore structures), quantum electronic phases (striped phases, flat bands), and superconductivity (2D systems, finite-momentum states), with increasing emphasis on 3D quantum phenomena and device-oriented material engineering since 2020. Major recognitions include: American Physical Society Fellowship (2024) Mitsui Career Development Professorship (2020-2023) Moore EPiQS Materials Synthesis Investigator (2019) Presidential Early Career Award (PECASE, 2019) Army Early Career Award (ECASE, 2019) NSF CAREER Award (2015) Bose Research Fellowship (2015) Moore EPiQS Fellowship (2014) The Checkelsky Lab maintains active collaborations across MIT's materials research ecosystem, focusing on generating fundamental quantum phenomena with potential applications in next-generation electronics and quantum technologies through tight integration of synthesis, characterization, and theoretical modeling.

Paolo Samorìمشاهده پروفایل

استاد

• Nanochemistry
• Supramolecular Chemistry at surfaces and interfaces
• 2D materials
• +۷ مورد دیگر

Paolo Samorì is a full-time Professor at the Université de Strasbourg , where he serves as Director of the Nanochemistry Laboratory and Emeritus Director of the Institut de Science et d'Ingénierie Supramoléculaires (ISIS) . He is affiliated with multiple prestigious academies, including the German National Academy of Science and Engineering (ACATECH) , Royal Society of Chemistry (FRSC) , and European Academy of Sciences (EURASC) . Education: Laurea (MSc) in Industrial Chemistry (University of Bologna, 1995), PhD in Chemistry (Humboldt University Berlin, 2000, summa cum laude). His research focuses on Nanochemistry , 2D materials , and supramolecular systems at interfaces , with applications in organic electronics , optoelectronics , and sensing . He pioneered methods for scanning probe microscopies and photoresponsive nanodevices , including graphene-based systems and diarylethene molecular switches. His scientific awards include the ERC Advanced Grant (2019) , Blaise Pascal Medal (2018) , and Catalán-Sabatier Prize (2017) , among 20+ honors. He has trained over 130 students and researchers , including 34 professors now active globally.