جست‌وجوی استاد و پژوهشگر

• Semiconductor Defects
• Quantum Materials Engineering
• Infrared Photonics
• +۳ مورد دیگر

Kunal Mukherjee serves as an Assistant Professor in the Department of Materials Science and Engineering within Stanford University's School of Engineering. His teaching portfolio includes core courses such as MATSCI 152: Electronic Materials Engineering and MATSCI 183/213: Defects and Disorder in Materials, alongside extensive supervision of graduate research through MATSCI 300 (Ph.D. Research) and undergraduate studies. His research centers on semiconductor defects and quantum materials engineering, with particular expertise in dislocation dynamics, heteroepitaxial growth, and quantum emitter systems. Key focus areas include: Defect engineering in diamond for quantum sensing applications Mid-infrared photonic materials (PbSe, PbSnSe) for room-temperature operation Quantum dot laser reliability on silicon substrates Nanoscale positioning of color centers in diamond nanostructures Chalcogenide thin film growth for infrared photonics Analysis of his 15 most recent publications reveals a strong emphasis on defect-mediated phenomena across multiple material systems. His work bridges fundamental materials science with photonic applications, particularly in quantum technologies and infrared optoelectronics. The research demonstrates sophisticated control over dislocation formation, strain management, and phase stability in heterostructures. No scientific awards are documented in the provided materials. His academic supervision spans Ph.D. candidates (MATSCI 300), Master's students (MATSCI 200), and undergraduate researchers across multiple independent study courses, though specific student names are not listed. His laboratory work focuses on advanced materials growth and characterization, particularly employing correlative microscopy techniques to study dislocation luminescence and quantum emitter systems. Current efforts target scalable quantum photonic platforms and high-reliability infrared emitters through precise defect engineering.

• Topological Quantum Computing
• Quantum Information
• Low-dimensional Topology
• +۳ مورد دیگر

Shawn Xingshan Cui is Associate Professor in the Departments of Mathematics and Physics & Astronomy at Purdue University. His research bridges low-dimensional topology, quantum field theory, and quantum information science, with focus on topological quantum computation and tensor category applications. His work develops mathematical frameworks for topological quantum computing using knot theory, Hopf algebras, and modular tensor categories. Recent publications explore quantum error correction in topological codes (Kitaev model, toric code), non-semisimple invariants of 3-/4-manifolds, and quantum circuit implementations. He leads research on constructing fault-tolerant quantum gates using topological phases and anyonic braiding. Current projects investigate Floquet codes, fracton models, and the application of neural networks to quantum state representation. His SIAM News article 'Fighting Errors with Space' highlights spatial approaches to quantum error correction. He supervises graduate students working on quantum algorithms, topological phases of matter, and mathematical foundations of quantum computation. Teaching includes MA 261: Multivariate Calculus and specialized topics in topological quantum computation.

Fabrizio Lombardiمشاهده پروفایل

استاد

• Fault-tolerant computing
• VLSI CAD
• Testing
• +۷ مورد دیگر

Fabrizio Lombardi is the ITC Endowed Professor at Northeastern University's Department of Electrical and Computer Engineering, part of the College of Engineering. He previously held faculty positions at Texas Tech University, University of Colorado-Boulder, and Texas A&M University. He earned his B.Sc. from the University of Essex (1977), M.Sc. and Ph.D. from the University of London (1982). His research focuses on fault-tolerant computing, VLSI CAD, quantum computing, and configurable computing systems. He has led major projects like the NSF-funded Neural-Network-based Stochastic Computing Architectures for Machine Learning . He holds leadership roles including President of the IEEE Nanotechnology Council (2022-2023), IEEE Computer Society Vice President (2021), and IEEE PSPB member. His 200+ publications span IEEE Transactions on Computers, Nanotechnology, and Design & Test. Awards include IEEE Fellow, Søren Buus Outstanding Research Award, and multiple research fellowships. His work bridges theory and application, emphasizing defect-tolerant nanosystems and energy-efficient computing hardware. Recent innovations include approximate computing methodologies and secure PUF-based hardware designs.

• Immunodeficiency Diseases
• Actin Cytoskeleton Regulation
• Immune System Dynamics
• +۵ مورد دیگر

Lisa Westerberg is a Professor of Experimental Immunology at Karolinska Institutet's Department of Microbiology, Tumor and Cell Biology. Her research focuses on understanding how defects in actin cytoskeleton regulation lead to immunodeficiencies, autoimmunity, and hematological malignancies. She leads a team studying primary immunodeficiency diseases such as Wiskott-Aldrich Syndrome (WAS) and X-linked neutropenia (XLN), investigating molecular mechanisms underlying immune cell dysfunction. Education: PhD in Cell and Molecular Biology (Karolinska Institutet, 2003), postdoctoral training at Harvard Medical School (2009). Appointed Professor in 2024 after prior roles as Associate Professor (2013) and Assistant Professor (2009). Research interests include nuclear actin regulation in immune cells, clonal evolution in pediatric lymphomas, and space-induced immune changes. Her lab combines molecular biology, microscopy, and in vivo models to develop therapies targeting actin regulators. Awards: Ragnar Söderberg Fellowship, ERC Starting Grant (2019), Swedish Research Council grants. Collaborates internationally on space immunology via ESA experiments. Supervises PhD students in B cell biology and immune signaling. Labs/Teams: Immunodeficiency Diseases Group at MTC, WASPSTINGS network coordinator. Active in translational research bridging primary immunodeficiencies and cancer therapy.

Steven Y. Liangمشاهده پروفایل

استاد

• precision manufacturing
• additive manufacturing
• materials science
• +۳ مورد دیگر

Steven Y. Liang , Regents' Professor at the Georgia Institute of Technology 's Woodruff School of Mechanical Engineering, focuses on precision manufacturing , additive manufacturing , and materials-driven process optimization . His research program bridges materials science and computational mechanics to develop predictive models for advanced manufacturing systems. Ph.D., University of California, Berkeley (1987) M.S., Michigan State University (1984) B.S., National Cheng-Kung University, Taiwan (1980) Dr. Liang's work emphasizes physics-based modeling of thermal-mechanical interactions in machining and additive manufacturing, particularly for Ti6Al4V and Inconel 718 alloys. Recent publications highlight tool wear prediction , laser-assisted micro-milling , and residual stress modeling using machine learning and analytical mechanics. His research has been recognized with the ASME Milton C. Shaw Manufacturing Research Medal (2016) , SME Gold Medal (2021) , and Outstanding Lifetime Service Award of NAMRI/SME (2021) , among others. Funded by federal agencies and aerospace/automotive industries, his work provides scientific foundations for process planning and optimization.

Geoffroy Hautierمشاهده پروفایل

دانشیار مدعو

• Computational Materials Design
• Ab Initio Computing
• High-Throughput Computing
• +۸ مورد دیگر

Geoffroy Hautier serves as Adjunct Associate Professor of Engineering at Dartmouth College's Thayer School of Engineering within the Physics and Astronomy Department. His research bridges computational materials science with practical energy applications through high-throughput methodologies and machine learning integration. Previously holding positions at MIT and ULB, he maintains active collaborations across international research networks including the psi-k society. His research expertise spans computational materials design with emphasis on ab initio and high-throughput computing approaches. Key focus areas include opto-electronic properties of materials, transparent conducting oxides, thermoelectrics, photovoltaics, and high entropy alloys for energy applications. His group develops advanced computational frameworks for materials discovery, particularly targeting energy production and storage solutions through quantum mechanical simulations. Analysis of recent publications reveals strong trends in quantum materials discovery (2022-2024), sustainable magnet development (2023), and hydrogen storage technologies (2024). His work consistently integrates machine learning with first-principles calculations to accelerate materials design cycles across photovoltaics, quantum information science, and sustainable energy systems. Scientific recognition includes: Chemistry of Materials Reviewer Excellence Award (2018, 2019) Finalist for Rising Star in Computational Materials Science (2018) Marie Curie Fellowship (2012) As group leader, Hautier mentors multiple PhD students and postdoctoral researchers while directing projects funded by DOE and other agencies. His research portfolio includes significant grants for quantum materials ($2.7M DOE grant), sustainable magnets, and hydrogen storage frameworks. The Hautier Research Group maintains active collaborations with national laboratories and industry partners through the Materials Project initiative. The group operates within Dartmouth's advanced computational infrastructure, focusing on quantum defect engineering for silicon photonics, 2D material design for electrocatalysis, and rare-earth-free permanent magnet development. Current efforts emphasize scalable quantum technologies and decarbonization pathways through advanced materials discovery.

Mohammad Naraghiمشاهده پروفایل

استاد

• Nanomaterials Engineering
• Materials Science
• Polymer Engineering
• +۶ مورد دیگر

Dr. Mohammad Naraghi is a Professor and Associate Department Head for Academics in the Department of Aerospace Engineering at Texas A&M University. He leads the Nanostuctured Materials Lab , focusing on advanced nanomaterials for aerospace applications. His work integrates material science principles to develop lightweight, high-performance materials for structural, energy storage, and smart textile systems. Education: Ph.D., Aerospace Engineering (2009), University of Illinois at Urbana-Champaign M.S., Civil Engineering (2004), Sharif University of Technology B.S., Civil Engineering (2004), Sharif University of Technology Research Interests: Graphitic carbon nanomaterials, bio-inspired composites, experimental nanomechanics, and polymer nanofiber processing. His lab explores multifunctional materials for aerospace applications, including self-healing polymers, structural batteries, and sustainable carbon fiber recycling. Publications: Dr. Naraghi has authored over 150 peer-reviewed articles, with recent work focusing on carbon nanomaterial synthesis, self-healing vitrimers, and all-electric aircraft sustainability . His studies bridge nanoscale mechanics and macroscale applications, emphasizing scalability and industrial relevance. Awards: Best Paper Award (2009) for nano viscoelastic composites research Roger A. Strehlow Memorial Award (2009) for outstanding research First Place in Sandia MEMS Design Competition (2007) Advising & Grants: Leads NSF-funded projects on sustainable materials and structural energy storage. Advises graduate students in aerospace and materials engineering. Collaborates with Sandia National Labs and industry partners on advanced composite development. Labs & Facilities: Directs the Nanostuctured Materials Lab, equipped with advanced nanomechanical testing systems, electrospinning setups, and characterization tools for nanoscale materials analysis.

• Welding Metallurgy
• Physical Metallurgy
• Additive Manufacturing
• +۱۰ مورد دیگر

Leijun Li, PhD, P.Eng., is a Professor in the Department of Chemical and Materials Engineering at the University of Alberta, where he also serves as Chair. With a career spanning institutions including Rensselaer Polytechnic Institute, University of Northern Iowa, and Utah State University, he specializes in physical metallurgy , welding metallurgy , and additive manufacturing . His research focuses on microstructure characterization, mechanical properties, and modeling of non-equilibrium phase transformations during welding and AM processes. Current affiliations: University of Alberta, American Welding Society, ASM International Research themes: Additive manufacturing of alloys, Corrosion science, Pipeline metallurgy, Phase transformations, Welding robotics He has received multiple AWS Hobart Awards (4 times) and Savage Awards (2 times) for his work on pipeline welding and metallurgy. His group has published extensively on topics including delta-ferrite retention in Grade 91 steel, inverse bainite transformations , and welding defect analysis . Recent projects include NSERC Alliance Missions Grant for rare earth mineral recovery and Alberta Innovates Ecosystem Program for advanced manufacturing. Key collaborators: Dr. Tom Lienert, Dr. Xiaoying Fang, Dr. P-Q Xu Labs: Rooms 2-158/3-133 (CME Building), Office 12th Floor DICE Building

• Electrochemical Energy Storage
• Lithium-ion Batteries
• Solid-State Electrolytes
• +۴ مورد دیگر

Candace K. Chan is a Professor in the School for Engineering of Matter, Transport and Energy at Arizona State University , with a joint appointment in the School of Molecular Sciences graduate faculty. Her research bridges materials science , electrochemistry , and energy storage , with additional focus on water treatment technologies and photocatalysis . She leads the NSF Nanosystems Engineering Research Center for NEWT water treatment projects and holds multiple patents in solid-state electrolytes and clathrate battery materials . Education: Ph.D. in Physical Chemistry (Stanford University), B.S. in Chemistry (Rice University) Expertise: Inorganic/Materials Chemistry, Nanoscience, Renewable Energy Her research group specializes in solid-state battery materials , photocatalytic water treatment , and clathrate electrochemistry , with recent work on flexible battery mechanics and metal oxide photocatalysts . Publications focus on garnet-type electrolytes , Si/Ge clathrates , and LDH nanocomposites . Key scientific awards include: NSF CAREER Award (2016) Alexander von Humboldt Fellowship (2016–2018) ECS Battery Division Travel Grant (2014) ASU Fulton Exemplar Faculty (2017–2018) Advising: Mentored 12 Ph.D. students (e.g., Andrew Dopilka , Ting Yang ), 8 M.S. students, and 6 Barrett Honors Thesis students. Collaborates with international researchers from Max-Planck-Institut , Universität Göttingen , and Universidade Federal de Itajubá . Grants: Currently leads 3 active NSF/industry projects on solid electrolyte interphases , clathrate synthesis , and selective nano-sorbents . Completed 8 projects including SRP-funded selenium removal studies and ACS Petroleum Research Fund grants.

Bei Beiمشاهده پروفایل

دانشیار

• Sleep Disorders
• Circadian Rhythm
• Clinical Psychology
• +۵ مورد دیگر

Dr. Bei Bei is an Associate Professor at the School of Psychological Sciences, Monash University, and an NHMRC Emerging Leadership (EL2) Fellow. She leads the Behavioural Sleep Medicine service, research, and training at Monash University Healthy Sleep Clinic, focusing on individual differences in sleep-wake behaviors, sleep-mental health relationships, and community dissemination of evidence-based sleep interventions. Doctor of Psychology (Clinical), University of Melbourne PhD, University of Melbourne Her research spans six major areas: Sleep-wake circadian rhythm disorders Cognitive Behavioral Therapy for Insomnia (CBT-I) Psychological/behavioral aspects of sleep Sleep-mental health interactions (mood, anxiety) Adolescent sleep patterns and wellbeing Perinatal/postpartum sleep interventions for women Recent publications (2024-2025) address: Insomnia treatment mechanisms in depression comorbidity Neurodevelopmental impacts of circadian factors Pregnancy-related insomnia risk identification Adolescent sleep facilitators/barriers Integrated models for youth depression and sleep across continents She also contributes to: Antifungal drug tolerance mechanisms RNA polyadenylation dynamics Mitochondrial RNA stability in cancer 3' UTR splice variants in rare diseases Awarded the NHMRC Emerging Leadership (EL2) Fellowship and Early Career Research Grant , Dr. Bei serves on editorial boards for Sleep Medicine Reviews, Sleep, and Behavioral Sleep Medicine journals.

• Testability
• Built-in Self Test (BIST)
• Digital Circuit Testing
• +۳ مورد دیگر

Professor Jacob Savir is a distinguished academic in the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology . He specializes in testability, built-in self-test (BIST), and fault detection for digital and analog circuits. His work focuses on improving integrated circuit testing methodologies, including BIST pretesting, defect level analysis, and reliability optimization in safety-critical systems. His research interests span BIST architectures, delay fault analysis, analog circuit testing, and power-constrained test synthesis . He has contributed extensively to the development of testing algorithms for embedded memories, scan designs, and fault diagnosis in complex systems. Notable contributions include studies on the impact of BIST pretesting on IC defect levels and yield optimization. His work bridges theoretical advancements with practical applications in aerospace and industrial electronics. Despite no awards listed, his substantial citation count (1,897) and h-index (22) reflect his influential contributions to the field. Prof. Savir has collaborated on 114 research outputs since 1977, with a focus on enhancing circuit testability and reliability across domains like FPGA-based systems and embedded memory diagnostics. His research emphasizes both academic rigor and industrial relevance, addressing challenges in modern VLSI design and testing.

• Semiconductor Devices
• Nanoelectronics
• Oxide Electronics
• +۴ مورد دیگر

Peide Ye is the Richard J. and Mary Jo Schwartz Professor of Electrical and Computer Engineering at Purdue University's College of Engineering. His research focuses on semiconductor devices, oxide electronics, and advanced transistor technologies, particularly in 2D materials, ferroelectric semiconductors, and monolithic 3D integration. He leads investigations into thin-film transistors (TFTs), atomic layer deposition (ALD) processes, and device reliability under extreme conditions. His work bridges quantum phenomena with practical applications in nanoelectronics. Research Interests: Dr. Ye specializes in nanoelectronics, including novel semiconductor materials (e.g., In2O3, tellurene), ferroelectric field-effect transistors (Fe-FETs), and low-voltage/high-performance device designs. His group addresses challenges in scaling transistors to atomic dimensions, optimizing contact engineering, and mitigating defects in oxide semiconductors. Articles Trends: His recent publications (2024-2025) emphasize ultrathin oxide transistors with record performance metrics (e.g., 36 GHz fT), BEOL-compatible fabrication, and quantum effects in 2D materials. Key themes include low-power operation, defect-tolerant designs, and integration of logic/memory systems. Labs/Teams: While specific lab names aren't listed here, his work is closely tied to Purdue's nanoelectronics research infrastructure, collaborating with semiconductor industry leaders to advance next-generation transistor technologies.

• Quantum Physics
• Quantum Computing
• Quantum Error Correction
• +۳ مورد دیگر

Dr. Dominic Williamson is a theoretical quantum physicist and DECRA Research Fellow at the School of Physics, University of Sydney. He specializes in quantum phases of matter and their applications to quantum error correction and computing. His work bridges condensed matter theory and quantum information science, focusing on fracton topological phases and fault-tolerant quantum architectures. Education: PhD in Physics from the University of Vienna (2017); Postdoctoral research at Yale University, Stanford University, and IBM Quantum. Current roles include faculty membership at the University of Sydney’s Quantum Science Group and prior industry experience at IBM and PsiQuantum. Research interests: Topological phases of matter, quantum error correction codes (e.g., fracton codes, QLDPC systems), fault-tolerant quantum computing architectures, and non-Abelian anyon systems. Recent breakthroughs include low-overhead quantum architectures and novel approaches to parallelized logical measurements. Grants: 2022 ARC Discovery Early Career Researcher Award for topological phases in quantum computation. Collaborations include projects on gauging logical operators and quantum code surgery. Professional activities: Editor for Quantum , frequent speaker at international conferences, and mentor for students at all levels (undergraduate to postdoctoral). Active in open-source research and public engagement through platforms like arXiv and Google Scholar.

• Quantum Computing
• Fault-Tolerant Quantum Computing
• Topological Error Correcting Codes
• +۴ مورد دیگر

Earl Campbell is Professor of Quantum Computation in the School of Mathematical and Physical Sciences at the University of Sheffield. He holds an MSc in Physics and Philosophy from University of Bristol and a PhD in Quantum Computing from University of Oxford. His research develops fault-tolerant quantum computing protocols, error correction codes, and quantum software architectures to enable reliable quantum technologies. Key focus areas include topological error correction, magic state distillation, qudit computation, and bridging quantum theory with hardware implementation. Research Team: 1 Postdoctoral Researcher (Mark Howard) 1 PhD Student (Luke Heyfron) Major Grants: EPSRC Early Career Fellowship: 'Towards fault-tolerant quantum computing with minimal resources' (£675,867) Royal Commission of Great Exhibition of 1851 Fellowship

• VLSI Design
• Built-In Self-Test (BIST)
• Test Data Compression
• +۷ مورد دیگر

Chr. Kavousianos is an Assistant Professor in the Department of Informatics at the University of Ioannina, Greece. He is actively engaged in research and teaching in the fields of VLSI design, testability, and low-power testing. He has been involved in major national and international research programs such as Heracleitus II, Pythagoras, and NSF-SRC (USA). Research Interests: His research focuses on advanced techniques in built-in self-test (BIST), test data compression, scan-based testing, fault tolerance, and embedded control architectures. He explores methods to reduce test data volume, power consumption during testing, and improve defect coverage in integrated circuits. Publication Trends: His recent publications (2004–2011) show a strong trend toward defect-aware testing, power-efficient test compression, and multicore SoC testing. He frequently collaborates with leading researchers, including Prof. Krishnendu Chakrabarty (Duke University). His work on multilevel Huffman coding and reseeding techniques has been highly influential, with one paper among the most accessed in 2004. Special Distinction for Excellent Academic Performance from TEE, 1996 Doctoral Scholarship 'In Memory of Professor Maritsa', 1999 Postdoctoral Scholarship from IKY, 2002 Advising and Grants: He has supervised multiple postdoctoral researchers, PhD candidates (e.g., Vasilis Tenentes, Emmanouil Kalligeros), and master’s students. He has led research projects such as 'Embedded Control Architectures' (Heracleitus II) and 'Design Techniques for Embedded Self-Control Circuits' (Pythagoras II). His international collaboration with Duke University included a postdoctoral research role in 2009. Labs and Teams: He leads a research group at the University of Ioannina with postdocs, PhD students, and visiting professors, including Prof. Krishnendu Chakrabarty. His team works on cutting-edge VLSI testing and design methodologies.