جست‌وجوی استاد و پژوهشگر

• Photochemistry
• Electrochemistry
• Organic Electronics
• +۴ مورد دیگر

Tero-Petri Ruoko is an Assistant Professor at the University of Tampere , affiliated with the Faculty of Engineering and Natural Sciences and the Materials Science and Environmental Engineering department. He leads the Spectroscopy and Light-Active Materials (SLAM) research group, which is part of the Chemistry and Advanced Materials (CAM) cluster and the PREIN photonics flagship initiative. Research Interests: Ruoko specializes in photochemistry , electrochemistry , and organic electronics , with a focus on light-emitting materials , time-resolved spectroscopy , and electrochemical systems . His work includes organic electrochemical transistors , solar energy conversion , and smart materials for actuation and self-healing . He investigates charge transport mechanisms, defect engineering in semiconductors, and interfacial phenomena in conducting polymers. Recent Publications demonstrate expertise in halogen bonding for material control, oxygen reduction catalysis with doped polymers, and self-healing liquid crystal elastomers . His research spans organic semiconductors , perovskite solar cells , and supramolecular interactions in biohybrid systems. Grants: He has received funding from the EU Horizon 2020 MSCA-IF and the Academy of Finland Postdoc programs, supporting his work on sustainable energy and advanced materials.

Shuyin Jiaoمشاهده پروفایل

عضو هیئت علمی

• Computing Education
• Program Analysis
• Code Efficiency Analysis
• +۵ مورد دیگر

Shuyin Jiao is an active Associate Teaching Professor in the Department of Computer Science at North Carolina State University's College of Engineering. She serves as course coordinator for CSC 111 Introduction to Computing: Python and teaches multiple core undergraduate courses including CSC 116 (Java) and CSC 246 (Operating Systems), with extensive teaching experience spanning over 9 years at both NC State and the College of William & Mary. Her educational background includes a Ph.D. from the University of Houston (2015), a Diplôme d'Ingénieur from Ecole Central de Lyon, France, and a B.S. from Beihang University, China. She previously held positions as Assistant Teaching Professor (2020-2025) and Lecturer at NCSU, and taught as Lecturer and Adjunct Lecturer at William & Mary from 2015-2020. Dr. Jiao's research focuses on computing education and program analysis, with particular emphasis on developing tools to enhance student learning in computer science. Her work explores pedagogical methods to address diverse learning styles in increasingly large CS classrooms and investigates code inefficiencies through memory profiling and performance analysis. She leads the CERES lab at NCSU and serves as Publications Co-Chair for SIGCSE TS 2026. Her publication record shows consistent output in top venues including SIGCSE, CGO, MobiCom, and ICSE, with recent work spanning from 2025 back to 2012. Her research trajectory demonstrates a clear evolution from materials science (early career) to software engineering and computer science education, with current work heavily focused on educational technology and program analysis tools. Dr. Jiao has secured significant funding including as PI for NSF Grant DUE-#2417469 (2024-2027), NCSU Data Science Academy Seed Grant (2023-2024) as Co-PI, and NCSU GEARS Grants (2023-2024) as PI. She also serves as Co-PI for NSF Grant OAC-#2411136 (2025-2028) focused on computer system research. She actively involves undergraduate students in research through COE REU and CSC 498/499 projects, recruiting at CSC Undergraduate Research Lightning Talks each semester. Her course redesign projects include enhancing operating systems education through multimedia and redesigning CSC 111 with DELTA funding to address challenges in large-class instruction.

Thi Phuong Khanh Nguyenمشاهده پروفایل

پژوهشگر

• Prognostics and Health Management (PHM)
• Predictive Maintenance
• Condition-Based Maintenance
• +۸ مورد دیگر

Dr. Thi Phuong Khanh Nguyen is a researcher at the Ecole Nationale d'Ingénieurs de Tarbes (ENIT) , affiliated with the College of Engineering and Department of Systems . Her work focuses on Prognostics and Health Management (PHM) , predictive maintenance, and industrial data analytics, combining machine learning with physics-informed modeling to address uncertainty in system degradation. Teaching: Mathematics for engineers, Probability, Statistics, Operating safety Research: Health indicators, diagnostics, prognostics, multimodal data fusion Methods: Data mining, physical and data-driven models, decision support systems Tools: FAST, Petri nets, UML, HMM, RNN, CNN, Transformer architectures Her recent publications highlight advancements in explainable AI , physics-informed neural networks , and multimodal learning for fault detection, battery RUL prediction, and robotic inverse dynamics. She also explores blockchain and federated learning for decentralized prognostics.

Mykola Tasinkevychمشاهده پروفایل

مدرس ارشد

• Soft Condensed Matter
• Liquid Crystals
• Active Colloids
• +۴ مورد دیگر

Dr. Mykola Tasinkevych is a Senior Lecturer at the School of Science & Technology, Nottingham Trent University (since 2021). Previously, he held research positions at the Max Planck Institute for Metals Research (Senior Scientist), University of Lisbon (FCT Fellow), and Northwestern University. He completed his PhD in 1999 and has since published 75+ peer-reviewed papers, secured €1M+ in competitive grants (FCT, DFG, EU), and supervised 15+ students/postdocs. His research centers on soft condensed matter , with expertise in: Liquid crystal-enabled nanoparticle self-assembly and topological defects Dynamics of active colloids and microswimmers Superhydrophobic surfaces and wetting phenomena Capillary interactions at fluid interfaces He collaborates internationally with groups at University of Colorado Boulder, University of Lisbon, and University of Hawaiʻi. His recent publications (2020–2025) focus on active matter control (e.g., microswimmers in ratchets), liquid crystal skyrmions under flow/topological constraints, and nanoparticle assembly in chiral environments. Machine learning applications for texture analysis also emerge in forthcoming work. Awards/Grants: FCT Postdoctoral Fellowship (1999–2003) FCT 5-year Principal Investigator Fellowship (2017; 10% success rate) DFG/EU FP7 Grants (2007–2016) FCT Major Grant PTDC/FIS-MAC/5689/2020 (6% success rate) He leads theoretical research groups on soft matter, advising projects in physics and securing funding for international collaborations. Current work explores dynamical phenomena in topological solitons and nanoparticle composites.

• Computational Physics
• Density Functional Theory (DFT)
• Atomistic Simulations
• +۹ مورد دیگر

Jaakko Akola is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU). His research focuses on computational materials science, particularly density functional theory (DFT) and atomistic simulations of materials, nanoparticles, molecules, and interfaces. He leads significant projects such as "SIDI" (inoculation in cast iron), "Infinity-RETIS" (chemical rare events), and "AllDesign" (rational alloy design), alongside coordinating EU-funded initiatives like "CritCat" for catalyst development. The Materials Theory group under Akola employs DFT, molecular mechanics, and Monte Carlo methods to explore atomic-scale structures and functions in technological applications. Key research areas include platinum-free catalysts for hydrogen energy, amorphous semiconductors for memory devices, noble metal nanoparticles in biological environments, and alloy design for cast iron and aluminum. Recent work integrates machine learning to advance theory-driven material design, reducing reliance on experimental trial-and-error. Akola's publications highlight advancements in hydrogen evolution catalysis, phase-change memory materials, and alloy precipitation. His projects often involve interdisciplinary collaborations with experimental teams. He teaches Quantum Physics 1 (FY2045) and Computational Physics (TFY4235) at NTNU, reflecting his commitment to education alongside research.

• Quantum Device Physics
• Graphene and 2D Materials
• Superconducting Circuits
• +۳ مورد دیگر

Sergey Kubatkin is a Full Professor at the Quantum Device Physics department within the Department of Microtechnology and Nanoscience (MC2) at Chalmers University of Technology , Sweden. His research focuses on quantum devices , graphene-based electronics , and 2D material heterostructures , with applications in quantum computing and metrology . He leads projects under the Graphene Flagship and collaborates with institutions like the European Commission and Knut and Alice Wallenberg Foundation . Key Research Areas: Quantum transport in graphene and 2D materials Decoherence mechanisms in superconducting circuits Van der Waals heterostructures for electronic devices Near-field scanning microwave microscopy Quantum Hall effect for metrology Recent Publications highlight advancements in epigraphene stability , ultranarrow semiconductor transistors , and spin-echo suppression in quantum circuits . His work addresses challenges in quantum noise reduction and low-power electronic devices , often leveraging collaborations with teams like the European Research Council and Swedish Foundation for Strategic Research . Scientific Contributions include foundational studies on graphene quantum Hall resistance standards and single-molecule electronics . Current projects, such as Quantum geometry and flat bands (2025–2030), aim to explore room-temperature superconductivity through 2D material engineering. His lab develops scalable graphene bolometers and high-precision microwave detectors for quantum technologies.

Alice Dentonمشاهده پروفایل

مدرس

• Immunology
• Inflammation
• Vaccinology
• +۳ مورد دیگر

Dr Alice Denton is a Lecturer in the Centre for Inflammatory Disease at Imperial College London, where she has worked since January 2020. Her research focuses on understanding how fibroblasts influence immune responses during vaccination and aging. She leads a small lab team and has secured significant funding, including an MRC Career Development Award and a Dunhill Medical Trust Seed Award. Education: PhD, University of Melbourne (2006-2010) Postdoc, University of Cambridge (2010-2015) BBSRC FL Fellowship, Babraham Institute (2016-2019) Alice's research explores the interplay between fibroblasts and immune cells in lymph nodes, particularly how inflammation and aging affect fibroblast function. Her work aims to improve vaccine efficacy through better understanding of stromal-immune crosstalk. Key themes include germinal center immunology , lymph node stromal cells , aging immunity , and inflammatory microenvironment . Her recent publications emphasize fibroblast-immune interactions in tertiary lymphoid structures, podoplanin signaling , and TLR4 targeting for vaccine enhancement. She also investigates spatial organization of immune cells during aging and the role of lymphoid stromal cells in supporting macrophages and germinal centers. Scientific Awards: MRC Career Development Award Dunhill Medical Trust Seed Award Alice collaborates with colleagues at Imperial College London and manages multiple responsibilities including teaching, supervision, and lab work. Outside academia, she enjoys baking (especially sourdough bread), creating cat-themed art, and distilling experimental flavors like pea-flavored gin.

Ming Liمشاهده پروفایل

دانشیار مدعو

• Energy Storage Materials
• Electrochemistry
• Advanced Materials Processing and Manufacturing
• +۴ مورد دیگر

Dr. Ming Li is an Adjunct Associate Professor at the School of Mechanical and Mining Engineering , The University of Queensland . He focuses on materials science, particularly in energy storage systems. Education : PhD in Chemical Engineering (2017), The University of Queensland. Research Interests : Energy storage materials, electrochemistry, electron microscopy, crystallography, operando characterization, battery degradation mechanisms. Affiliations : Advanced Materials Processing and Manufacturing (AMPAM), Future Autonomous Systems and Technologies, Multiscale Energy Systems. Ming Li’s recent research explores rechargeable battery materials , with significant work on sodium-ion and zinc-ion batteries . His studies emphasize metal nucleation , electrolyte design , and operando electron microscopy to visualize degradation during fast charging. His publications highlight crystallography and advanced characterization techniques , addressing challenges in solid-state batteries and electrochemical stability . Collaborations span institutions, including researchers like Emily Cooper , Shiwei Tao , and Ruth Knibbe . The Advanced Materials Processing and Manufacturing (AMPAM) group at UQ hosts his research. He has contributed to understanding superconducting materials and metallurgical processes in low-carbon steels and iron-silicon alloys.

• Quality of Life
• Mental Fatigue
• Positive Affect
• +۶ مورد دیگر

Gerko Schaap is a Researcher in Professional Learning & Technology specializing in health psychology and quality-of-life research, with expertise in post-illness syndromes and mental-physical health interactions. His work bridges clinical medicine, psychological science, and digital health interventions, focusing on patient-centered outcomes in chronic conditions. Primary research interests include Quality of Life, Mental Fatigue, Positive and Negative Affect, Fatigue Syndromes, and Post-COVID-19 Syndrome. He investigates symptom trajectories in long COVID using experience sampling methods, explores affective dynamics in daily life, and applies participatory action research to redirect tinnitus treatment paradigms. His work emphasizes real-world symptom management and patient agency in healthcare. Analysis of his 2023-2025 publications reveals concentrated investigation into post-COVID-19 sequelae through longitudinal studies, systematic reviews, and mixed-methods approaches. Key trends include digital intervention suitability assessment, affect-symptom relationships in ecological contexts, and patient-driven research redirection in tinnitus. The work spans medicine, psychology, and digital health with strong emphasis on patient-reported outcomes and real-time data collection. Schaap maintains active collaborations with Bode, van der Palen, and Vonkeman across multiple institutions, reflecting multidisciplinary team engagement. He has contributed two significant datasets on post-COVID symptom experiences and positive psychology interventions, supporting open science initiatives. While specific grant funding isn't detailed, his prolific output indicates sustained research support for chronic condition studies.

• Plasma Physics
• Space Physics
• Dusty Plasma
• +۳ مورد دیگر

Krishan Kumar is a Postdoctoral Researcher at West Virginia University's Plasma & Space Physics department, affiliated with the Scime Group. His work focuses on experimental and theoretical investigations of plasma dynamics, particularly in dusty plasma environments. He holds a Researcher academic rank and is engaged in cutting-edge studies of soliton formation, plasma flow phenomena, and phase transitions in complex plasmas. Research Interests: Nonlinear plasma dynamics and soliton physics Experimental studies of dusty plasma systems Phase transitions in non-equilibrium plasmas Wave-particle interactions in flowing plasmas His recent publications (2021-2025) concentrate on soliton excitation mechanisms, plasma flow instabilities, and multidimensional plasma structures. Notable works include experimental validations of soliton theories using the forced Kadomtsev-Petviashvili equation and investigations of Kelvin-Helmholtz instabilities in dusty fluids. Simulation studies using Particle-in-Cell methods complement his experimental efforts. He has also contributed to ionospheric plasma cross-section measurements relevant for space weather studies. Currently, his research explores the interplay between plasma confinement and structural phase transitions in two-dimensional dust crystals, as well as the role of non-thermal electrons in magnetic reconnection processes. These studies are conducted in collaboration with the Scime Group's advanced laboratory facilities.

Edmund R. Nowakمشاهده پروفایل

استاد

• Spintronics
• Magnetic Tunnel Junctions
• Superconductivity
• +۳ مورد دیگر

Edmund R. Nowak is a Professor and Department Chair in the Department of Physics & Astronomy at the University of Delaware . His research focuses on spintronic nanostructures , magnetic tunnel junctions , vortex dynamics in superconductors , and granular media dynamics . He has contributed significantly to understanding noise mechanisms in magnetic devices and the development of ultra-sensitive magnetic field sensors. His work also spans material synthesis and characterization of novel semiconductor compounds, such as gallium pnictides and layered materials like BaGa₂Pn₂. His academic leadership includes chairing the Physics & Astronomy department, where he oversees both educational and research initiatives. His research has been published widely, with a focus on experimental and theoretical studies of magnetic nanodevices and their applications in spintronics and sensor technology. Notable contributions include advancing techniques to suppress noise in magnetic tunnel junctions, optimizing sensor performance for picoTesla-level detection, and investigating the effects of annealing on magnetic materials. His interdisciplinary approach bridges condensed matter physics, materials science, and device engineering. Edmund R. Nowak collaborates with industry and academic partners to translate fundamental research into practical applications, such as biodetection systems and low-power magnetometers. His lab at the University of Delaware is equipped for advanced material fabrication, magnetic characterization, and noise analysis.

Florencia Malamudمشاهده پروفایل

پژوهشگر

• Neutron Imaging
• Materials Science
• Crystallography
• +۳ مورد دیگر

Florencia Malamud is a Researcher and Instrument Scientist at the Paul Scherrer Institute (PSI), leading the POLDI instrument in the Laboratory for Neutron Scattering and Imaging. Her work focuses on advanced neutron-based techniques for material characterization, including Bragg edge imaging, diffraction contrast imaging, and texture analysis. She specializes in studying crystallographic structures, phase transformations, and mechanical behaviors in materials such as high-Mn steels, superalloys, and superconductors. Her research integrates experimental methods like neutron diffraction and tomography to investigate industrial materials (e.g., additive manufacturing components) and historical artifacts (e.g., Napoleonic-era copper bolts). Key areas include optimizing material properties through composition and processing, and understanding deformation mechanisms in metallic materials. Malamud’s publications span materials science, metallurgy, and neutron scattering applications. She collaborates on projects involving nuclear-grade materials, aerospace alloys, and archaeological metallurgy. Her work emphasizes bridging fundamental physics with applied engineering challenges. No scientific awards are explicitly mentioned. Her advising and grants are not detailed in the provided texts. She is affiliated with PSI’s neutron scattering laboratory and contributes to instrumentation development for advanced materials research.

Federica Marone Welfordمشاهده پروفایل

پژوهشگر

• X-ray Tomography
• Seismology
• Tomographic Reconstruction
• +۷ مورد دیگر

Federica Marone Welford is a Beamline Scientist at the TOMCAT beamline of the Swiss Light Source (SLS) at the Paul Scherrer Institute (PSI) . She holds an Earth Sciences degree with a focus on seismology and a PhD in seismology from ETH Zurich , following a postdoctoral fellowship at the Berkeley Seismological Laboratory . Her work centers on advancing tomographic reconstruction algorithms, mitigating artifacts, and optimizing computational infrastructure for high-speed X-ray imaging at the TOMCAT beamline. Research Focus: X-ray tomography methodology, data compression, real-time reconstruction systems, and applications in paleontology, earth sciences, additive manufacturing, and energy research. Collaborations: Engages with global researchers and industry partners, particularly in battery/fuel cell analysis and laser powder bed fusion. Teaching: Lectures at ETH Zurich on X-ray imaging techniques. Publications highlight her contributions to X-ray scattering tensor tomography, dynamic process visualization, and computational advancements in imaging systems.

Daniel Lacksمشاهده پروفایل

استاد

• Electrostatics
• Material Science
• Environmental Engineering
• +۳ مورد دیگر

Daniel Lacks is the Vice Provost for Interdisciplinary and International Initiatives and the C. Benson Branch Professor of Chemical Engineering at Case Western Reserve University’s Case School of Engineering. He leads university-wide collaborations and oversees institutions like the Inamori Center for Ethics and Excellence and the Social Justice Institute. Previously, he served as Associate Dean for Academics and Chair of the Department of Chemical and Biomolecular Engineering. Lacks holds a B.S. in Chemical Engineering from Cornell University and a Ph.D. in Chemistry from Harvard University. His research focuses on material properties, electrostatics, and environmental applications. He has pioneered international academic programs, including the first U.S. academic program in Myanmar, and developed NSF-funded research programs in Africa and Asia. His scientific awards include the Service to Society Award from the American Institute of Chemical Engineers. He serves on the Board of Directors at STEMpower, an NGO expanding STEM education in sub-Saharan Africa, and leads the Gelfand Global STEMpower Initiative. He has authored numerous studies on electrostatic charging, particle adhesion, and plasma-based technologies. Lacks has advised over a dozen institutions globally, including roles at Yangon Technological University (Myanmar) and the University of Botswana. His work emphasizes interdisciplinary education, conflict-affected regions, and sustainable innovation.

Stefan Hopplerمشاهده پروفایل

استاد

• Developmental Biology
• Molecular Biology
• Cell Signaling
• +۴ مورد دیگر

Professor Stefan Hoppler holds a Personal Chair at the University of Aberdeen's School of Medicine, Medical Sciences and Nutrition, within the Institute of Medical Sciences. He completed a University Diploma (MSc equivalent) in Zoology and Molecular Biology, and a Dr. phil. II (PhD) in Zoology at the University of Zürich, Switzerland. His career includes postdoctoral research at the University of Washington and University of Cambridge, followed by roles as Principal Investigator at the University of Dundee before joining Aberdeen in 2003. He was promoted to Reader (Associate Professor) in 2006 and Full Professor in 2012. His research focuses on Wnt signaling pathways in embryonic development, particularly their roles in heart and brain development using Xenopus models and human embryonic stem cells. Key areas include understanding tissue-specific signaling mechanisms and their implications in congenital heart defects and cancer. Current grants include British Heart Foundation and BBSRC funding for studies on Wnt signaling in cardiomyocyte differentiation and TCF/LEF diversification. Professor Hoppler has held prestigious awards such as the Royal Society/Leverhulme Senior Research Fellowship (2020) and Wellcome Trust Research Career Development Fellowship (1997). He serves on editorial boards (e.g., Genes, Developmental Dynamics) and professional societies (Genetics Society, British Society for Developmental Biology). His work integrates experimental models with theoretical approaches, as seen in recent publications on mathematical modeling of Wnt signaling and evolutionary diversification of TCF/LEF proteins. He leads collaborative projects on cardiovascular regeneration and contributes to training through roles like Scientific Meetings Secretary for the Genetics Society. His lab is part of the Aberdeen Developmental Biology Group and Cardiovascular and Diabetes Centre, emphasizing interdisciplinary research and translational applications.