Arno Roland Ngatcha Ndengna | Composite Materials |Best Academic Researcher Award

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 Dr. Arno Roland Ngatcha Ndengna | Composite Materials |Best Academic Researcher Award

NGATCHA NDENGNA Arno Roland is a PhD holder in Engineering Science with a specialization in Mechanical Engineering from the National Higher Polytechnic School of Douala, Cameroon. His expertise lies in applied mathematics, computational mechanics, and numerical simulation, with a research focus on sediment transport modeling, composite materials, and nonlinear mechanical systems. With over seven years of academic and research experience, he has contributed to the development of high-accuracy numerical schemes and algorithms for solving complex engineering problems. Bilingual in English and French, he is also an experienced educator and has taught courses in numerical methods, partial differential equations, and fluid mechanics.

Arno Roland Ngatcha Ndengna , National Advanced School of Maritime and Ocean Science and Technology, Cameroon

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🎓 Education

NGATCHA NDENGNA Arno Roland holds a PhD in Engineering Science with a specialization in Mechanical Engineering from the National Higher Polytechnic School of Douala, Cameroon. His doctoral studies focused on the application of mathematics in engineering, particularly in mechanical modeling and numerical simulation. He also completed a Master’s thesis in Modeling and Applied Mathematics, as well as an MSc in Engineering with a concentration in Fluid Dynamics and Numerical Modeling. Prior to that, he pursued a Bachelor’s degree in Pure Mathematics, specializing in Algebra, Analysis, and Geometry at the Science Faculty of Douala University . He also began a Master’s program in Pure Mathematics at the same university , which remained unfinished.

👨‍🔬 Experience

Roland has amassed over seven years of experience in applying mathematics to engineering science, with significant research and teaching roles.  he was a PhD candidate and research assistant at the National Higher Polytechnic School of Douala, where he specialized in mechanical engineering, finite volume and finite element methods, and sediment transport modeling for coastal and estuarine environments. He also served as a Graduate Research Assistant and Teaching Assistant (ATER) in the Marine and Ports Engineering Department, where he taught numerical methods, sediment transport, and partial differential equations. Earlier in his academic journey. He completed his Master thesis in E3M, focusing on numerical modeling and the mechanical behavior of composite shell structures. As a design engineer during his MSc , he engaged in fluid dynamics, computational modeling, and the design of metallic structures for marine engineering applications. His undergraduate years also included a deep dive into programming and theoretical mathematics.

🏆 Awards 

While specific awards are not listed, Roland has held respected positions such as Graduate Research Assistant and Teaching Assistant (ATER) in a specialized engineering department, indicating recognition of his academic and research capabilities. His consistent academic progression, from pure mathematics to engineering science, and his continued involvement in teaching and research in advanced numerical methods, reflect a strong and respected academic profile.

🖥️ Expertise 

NGATCHA NDENGNA Arno Roland possesses deep expertise in applied mathematics and mechanical engineering, with a particular focus on computational modeling and numerical simulation. His technical proficiency includes the development and implementation of Finite Volume and Finite Element Methods for solving complex physical problems, especially in coastal and environmental engineering. He is skilled in sediment transport modeling, the mechanical behavior of composite materials, plate and shell structures, and nonlinear mechanics. Roland has also designed high-accuracy numerical schemes and developed custom algorithms for both structured and unstructured meshes, integrating principles of computational fluid dynamics and continuum mechanics. His background in pure mathematics further strengthens his analytical capabilities, allowing him to bridge theoretical foundations with real-world engineering applications. His domain knowledge extends to programming, algorithm development, and advanced scientific computing using tools such as Matlab, Fortran 90, Maple, and LaTeX.

🩻Contributions

NGATCHA NDENGNA Arno Roland has made significant contributions to the fields of engineering science and applied mathematics, particularly in the development of advanced computational methods for solving environmental and mechanical problems. His research has led to the design and implementation of high-order numerical schemes for simulating sediment transport in coastal and estuarine environments, which are vital for infrastructure planning and environmental preservation. He has contributed to the advancement of Finite Volume and Finite Element Methods, incorporating reconstruction techniques to improve accuracy and efficiency on both structured and unstructured meshes. Roland has also played a key role in integrating mechanical modeling with real-world applications by developing algorithms to simulate the behavior of composite shell structures under varying stress conditions. In academia, his involvement as a teaching assistant and instructor for various mathematics and engineering courses has enhanced the learning experiences of undergraduate and master’s students, further extending his impact through education and mentorship.one

🔬 Research Focus

Roland’s primary research interest lies at the intersection of applied mathematics and mechanical engineering. His work spans the modeling and simulation of complex physical systems using numerical methods such as finite volumes and finite elements. He has developed mathematical models and computational algorithms for sediment transport in coastal environments and has contributed to the design of numerical schemes that operate on both structured and unstructured meshes. His doctoral work emphasized mechanical modeling, computational physics, and the application of nonlinear mechanics in solving real-world environmental and engineering problems. He is particularly passionate about numerical simulation and the mechanical behavior of plates, shells, and composite materials.

📚 Publications

A Two-Dimensional Model to Analyze the Static and Dynamic Mechanical Behavior of Multilayered Shell Structures
👨‍🔬 Ngatcha N. Arno Roland, R. Ngouanom G. Joel, A. Pandong
📘 Composite Structures, Elsevier, 2022, Vol. 295(4)

A Pathconservative Central-Upwind AENO Scheme for a Sediment Transport Model
👨‍🔬 Arno Roland Ngatcha Ndengna, Abdou Njifenjou
📘 Ocean Engineering Systems, 2022, Vol. 12(3)

Two-Dimensional Static Mechanic Analysis of Laminated Composite Tube Using ABCDE Matrix with No Correction Factor
👨‍🔬 Ngatcha Ndengna Arno Roland, Renaud Ngouanom, Edmon Mbangue, Pandong Achille
📘 International Journal of Mechanic, 2021, Vol. 15(1)

A Sediment Transport Theory Based on Distortion-Free-Boundary Nonhomogeneous Fluid Flows
👨‍🔬 Arno Roland Ndengna Ngatcha, Nkonga Boniface
📘 Application and Engineering Science, Elsevier, 2023

Coupling of Sediment Transport Phenomena with Turbulent Surface Flows: Mathematical Modeling, Finite Volume Approximation and Test-Simulations
👨‍🔬 Arno Roland Ndengna Ngatcha, Daniel Bandji, Abdou Njifenjou
📘 European Journal of Environmental and Civil Engineering, 2024

Ms Marwah Naser | Nanomaterials | Best Faculty Award

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Ms Marwah Naser | Nanomaterials | Best Faculty Award

Ms. Marwah Naser is a passionate researcher and academic in Analytical Chemistry, currently pursuing her Ph.D. at Ankara University, Turkey. With a strong foundation from her Master’s and Bachelor’s degrees in Pharmacy, she excels in designing electrochemical sensors using nanomaterials like Fe₃O₄ and graphene. Her work focuses on drug detection in real-world samples, contributing to both environmental safety and biomedical advancements. Multilingual and internationally trained, she actively publishes in top journals and collaborates globally. Ms. Naser exemplifies innovation, academic dedication, and scientific curiosity. 🔬📖

Ms Marwah Naser, Ankara university, Turkey

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🎓 Education 

Ms. Naser holds a Ph.D. in Analytical Chemistry (2025–ongoing) from Ankara University, Turkey, preceded by her M.Sc. (2021–2023) from the same institution. She began her academic path with a Bachelor’s in Pharmacy (2009–2014) from Al-Mustansiriyah University, Iraq. Her academic journey across Iraq and Turkey showcases her dedication to scientific growth and her pursuit of excellence in pharmaceutical analysis and electrochemical sensor development. Each stage of her education reflects a solid blend of theory, lab expertise, and innovation. 🎓🔬📚🌍

💼 Experience 

Ms. Naser brings a combination of teaching and research excellence to the classroom and laboratory. She has hands-on experience in synthesizing and characterizing nanocomposites, developing electrochemical sensors, and analyzing drug samples in biological and environmental media. Her work is guided by leading experts in the field and supported by practical application through voltammetry and spectroscopy techniques. She actively contributes to scholarly publications and interdisciplinary collaborations, enriching the learning environment with real-world scientific insights. 🧪👩‍🏫📊🔬

🔬 Research Focus 

Ms. Naser’s research centers on electrochemical sensor innovation, focusing on drug detection in biological and environmental samples. She leverages graphene oxide, Fe₃O₄ nanoparticles, activated carbon, and MOFs for electrode modification. Her methods employ DPV, CV, and EIS techniques to ensure sensitivity and cost-effectiveness in pharmaceutical analysis. Her work contributes to the development of smart, portable, and robust diagnostic systems, addressing global healthcare needs. Her passion lies at the intersection of nanotechnology, electroanalytical chemistry, and public health. ⚗️📈💊🌡️

📚 Publications

Low-cost voltammetric sensor based on reduced graphene oxide anchored on platinum nanoparticles for robust determination of Favipiravir in real samples
👩‍🔬 Bouali, W., Erk, N., Kholafazadehastamal, G., Naser, M., & Tiris, G.
📘 Diamond and Related Materials, 131, 109609 (2023)

Ultra-sensitive electrochemical sensor based on tannic acid/iron/titanium oxide for the detection of tyrosine in real biological and food samples
👩‍🔬 Erk, N., Naser, M., & Bouali, W.
📘 Microchemical Journal, 208, 112626 (2025)

Comparative assessment of ZIF-based electrochemical sensors for Cabotegravir detection in environmental, biological, and pharmaceutical samples
👩‍🔬 Genc, A. A., Bugday, N., Bouali, W., Erk, N., Naser, M., Duygulu, O., & Yaşar, S.
📘 Microchemical Journal, 114211 (2025)

Molecularly imprinted polymer film loaded on the metal–organic framework with improved performance using stabilized gold-doped graphite carbon nitride nanosheets for the single-step detection of Fenamiphos
👩‍🔬 Mehmandoust, M., Erk, N., Naser, M., & Soylak, M.
📘 Food Chemistry, 404, 134627 (2023)

These works collectively showcase her expertise in electrochemical sensors, nanomaterials, and biosensing technologies, making her a standout in the field of analytical chemistry and environmental diagnostics 🧫⚗️🧬.

Prof Janusz Majta | Microstructure and Properties | Best Researcher Award

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Prof Janusz Majta | Microstructure and Properties | Best Researcher Award

Prof. Janusz Majta is a Full Professor at the AGH University of Krakow, Poland, specializing in materials science and metal forming. He earned his PhD, with a focus on microstructure evolution and plastic deformation under dynamic conditions. He has conducted postdoctoral research at the University of Waterloo, Canada, and collaborated extensively with Los Alamos National Laboratory in the U.S. His research interests include multiscale modeling, severe plastic deformation (SPD), ultrafine-grained materials, and metal-to-metal composites. Prof. Majta has authored over 230 publications, supervised 9 PhD candidates, and led several international projects funded by DOE, DOD, NSERC, and the European Commission. He is an active member of global scientific societies and has played a key role in organizing the Metal Forming International Conference series.

Prof Janusz Majta, AGH University of Krakow, Poland

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🎓 Education

Prof. Janusz Majta holds a strong academic foundation in metallurgical and materials science. He earned his BSc in Metallurgical Engineering, followed by an MSc in Metal Forming in 1980 from the University of Mining and Metallurgy in Krakow, Poland. He obtained his PhD in Metallurgical and Materials Science from the same university . He completed his DSc in Materials Science, and in September, he was awarded the title of Full Professor.

💼 Experience

Prof. Majta is currently a Full Professor at the AGH University of Science and Technology in Kraków, Poland. His academic journey at AGH began as a Lecturer, progressively rising through the ranks to Assistant Professor, Associate Professor, and then Full Professor . Internationally, he served as a Postdoctoral Fellow at the University of Waterloo in Canada and worked multiple times as a visiting researcher and consultant at the Los Alamos National Laboratory in the United State. He also acts as an Expert for the European Commission Research Department .

🛠️ Contributions

Prof. Janusz Majta has made significant and sustained contributions to the field of materials science and engineering, particularly in the areas of metal forming, plastic deformation, and multiscale modeling. He has authored over 230 scientific publications in prestigious journals and conference proceedings, along with 4 monographs and 10 edited volumes of international conference materials. His research has advanced the understanding of microstructure evolution under dynamic and thermomechanical loading, leading to improved design strategies for high-performance structural materials. Prof. Majta’s pioneering work on the behavior of multiphase materials under severe plastic deformation and his development of computational models for metal forming processes have had both theoretical and practical impact. Internationally recognized, he has delivered numerous invited talks and contributed presentations at conferences worldwide. As a leader and mentor, he has supervised nine PhD candidates and actively participated in major international research collaborations supported by organizations such as the DOE, DOD, NSERC, the European Commission (PHARE, RFCS), and the Marie Skłodowska-Curie Foundation. Through his engagement with scientific committees, editorial duties, and long-standing role in organizing the Metal Forming International Conference, Prof. Majta has played a pivotal role in shaping research directions and promoting scientific exchange in the field.

📡 Research Projects 

Prof. Janusz Majta has led and participated in numerous national and international research projects aimed at advancing materials engineering and metal forming technologies. His work has received support from prominent funding agencies and organizations, including the U.S. Department of Energy (DOE), the Department of Defense (DOD), the Natural Sciences and Engineering Research Council of Canada (NSERC), the European Commission through PHARE and RFCS programs, and the prestigious Marie Skłodowska-Curie Foundation. These projects have addressed critical challenges in modeling and predicting the behavior of multiphase and ultrafine-grained materials under complex loading conditions. His research has contributed to the development of physically-based simulation tools for microstructure evolution, thermomechanical processing, and severe plastic deformation techniques. Notably, his collaborations with the Los Alamos National Laboratory in the United States focused on improving the dynamic performance and structural stability of advanced alloys and composites. Through these interdisciplinary and multinational research efforts, Prof. Majta has significantly influenced both academic and industrial practices in the design and processing of advanced materials.

🔬 Research Focus

Prof. Majta’s research centers on multiscale modeling of microstructure and mechanical behavior in multi-phase and ultrafine-grained materials. He specializes in mathematical and computational modeling of metal forming processes, microstructure evolution, and plastic deformation under dynamic loading. His work emphasizes physically-based design of structural materials with superior properties, including SPD (Severe Plastic Deformation) processes, nanostructured and multilayered materials, and composites reinforced with dispersed particles. His contributions bridge fundamental theory with applied research in both manufacturing and advanced material development.

📘 Publications

📄 Modeling of Microstructure Evolution in Multiphase Steels under Dynamic Loading
👨‍🔬 Author: Janusz Majta
📘 Journal: Journal of Materials Processing Technology

📄 Multiscale Simulation of Severe Plastic Deformation in Ultrafine-Grained Alloys
👨‍🔬 Author: Janusz Majta
📘 Journal: Materials Science and Engineering A

📄 Computational Modeling of Thermomechanical Metal Forming Processes
👨‍🔬 Author: Janusz Majta
📘 Journal: International Journal of Mechanical Sciences

📄 Shear Band Instabilities in Polycrystalline Structures
👨‍🔬 Author: Janusz Majta
📘 Journal: Acta Materialia

📄 Physically Based Design of Metal-to-Metal Composites
👨‍🔬 Author: Janusz Majta
📘 Journal: Materials & Design

Hojjatollah Shokri kaveh | Computational Materials Science | Best Researcher Award

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Dr Hojjatollah Shokri kaveh | Materials Science | Best Researcher Award

Hojjatollah Shokri Kaveh is an applied mathematician from Tehran, Iran, with a PhD in Applied Mathematics from Shahid Beheshti University. His expertise lies in data analysis, data visualization, and programming with MATLAB, Python, C, and C++. He has experience in both teaching and accounting and is passionate about applying mathematical tools to solve real-world problems.

Hojjatollah Shokri Kaveh, Shahid beheshti university, Iran

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🎓 Education

Hojjatollah Shokri Kaveh holds a PhD in Applied Mathematics from Shahid Beheshti University, where he studied. He earned his Master’s degree in Applied Mathematics from Amirkabir University of Technology. His academic journey began with a Bachelor’s degree in Applied Mathematics from Ilam University.

💼 Experience

He has accumulated diverse professional experience across both education and finance. He worked as a mathematics teacher at Ostadbank in Tehran, and later served in a similar role at Aloostad. He transitioned into a financial role, working as an accountant at Azarnan Nazari .

🛠️ Contributions

Hojjatollah Shokri Kaveh has contributed to the academic and educational fields through both teaching and research. As a mathematics teacher at Ostadbank and Aloostad, he played a key role in supporting student learning and academic achievement across a range of mathematical subjects. His background in applied mathematics, combined with practical experience in data analysis and visualization, has allowed him to approach problem-solving with both theoretical depth and real-world application. His programming skills in MATLAB, Python, and C-family languages have supported various academic projects, and his research contributes to advancing data-driven approaches in applied mathematics.

📡 Research Projects 

Hojjatollah Shokri Kaveh has been involved in research projects centered around applied mathematics with a particular focus on data analysis and data visualization. His work aims to develop mathematical models and computational techniques for interpreting complex datasets. During his PhD studies at Shahid Beheshti University, he likely undertook projects involving the application of programming tools such as MATLAB and Python to analyze real-world data and visualize results effectively. His research bridges the gap between mathematical theory and practical implementation, addressing contemporary challenges in data-driven decision-making and scientific computing.

🔬 Research Focus

His primary research interests lie in data analysis and data visualization. He is particularly engaged in exploring mathematical approaches to interpreting and presenting complex datasets in meaningful ways.

📘 Publication

Mapped regularization methods for the Cauchy problem of the Helmholtz and Laplace equations
👨‍🔬 Authors: H Shokri Kaveh, H Adibi
📘 Journal: Iranian Journal of Science and Technology, Transactions A: Science
📅 Year: 2021

Finding solution of linear systems via new forms of BiCG, BiCGstab and CGS algorithms
👨‍🔬 Authors: H Shokri Kaveh, M Hajarian, AT Chronopoulos
📘 Journal: Computational and Applied Mathematics
📅 Year: 2024

Developing variable s-step CGNE and CGNR algorithms for non-symmetric linear systems
👨‍🔬 Authors: HS Kaveh, M Hajarian, AT Chronopoulos
📘 Journal: Journal of the Franklin Institute
📅 Year: 2024

Efficient image reconstruction via regularized variable s-step conjugate gradient method for Sylvester matrix equations
👨‍🔬 Authors: HS Kaveh, M Hajarian, AT Chronopoulos
📘 Journal: Journal of the Franklin Institute
📅 Year: 2025

Variable s-step technique for Planar algorithms in solving indefinite linear systems
👨‍🔬 Authors: H Shokri Kaveh, M Hajarian, AT Chronopoulos
📘 Journal: Computational and Applied Mathematics
📅 Year: 2025

Jenin Victor Cortez Polanco | Materials Science | Best Researcher Award

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Mr. Jenin Victor Cortez Polanco | Materials Science | Best Researcher Award

Jenin Victor Cortez Polanco is a reproductive biotechnology specialist with a Ph.D. in Animal Science from the University of Sydney. He is internationally recognized for pioneering animal cloning techniques, including the first cloned calves in Peru and the development of a method for generating homozygous twin embryos. With expertise in IVF, ICSI, stem cell culture, and gamete vitrification, Jenin has contributed to major research and production projects across Australia, Colombia, and Peru.

Mr. Jenin Victor Cortez Polanco,  University of Sydney, Australia

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🎓 Education

Jenin Victor Cortez Polanco holds a Ph.D. in Animal Science from the University of Sydney, located in Camperdown, NSW. Prior to this, he earned a Master of Science in Animal Breeding from the National University Toribio Rodríguez de Mendoza in Amazonas, Peru . His foundational academic background includes a Bachelor of Science in Biology with a specialty in Biotechnology from the National University of San Cristóbal de Huamanga in Ayacucho.

💼 Experience

Jenin brings extensive international experience in the field of animal reproduction and biotechnology. He has been working at Catalina Genetics Pty Ltd in North Richmond, NSW, under the supervision of John Farren-Price. His work here focuses on advanced reproductive technologies such as ICSI and cloning, stem cell culture, and vitrification of reproductive cells and embryos. He also contributed to Genes De Colombia S.A. (Genescol) in Bucaramanga, Colombia, where he specialized in animal reproduction through IVF and cloning in cows, horses, and sheep, alongside gamete and cell vitrification. He was affiliated with Toribio Rodriguez De Mendoza University in Chachapoyas, focusing on animal reproduction research and instruction. He also held short-term research and academic roles at San Cristobal Nacional University and the National Institute of Agrarian Innovation in Ayacucho, working on animal science projects.

🛠️ Contributions

Jenin Victor Cortez Polanco has made groundbreaking contributions to the field of animal reproductive biotechnology. He played a pivotal role in developing and implementing novel cloning techniques in Latin America, particularly in Peru, where he was part of the first team to successfully produce cloned calves using embryonic bipartition. He is the creator of an innovative procedure for generating homozygous twin embryos, which has been nationally and internationally recognized, including a Gold Medal at the Geneva International Exhibition of Inventions. Jenin has also contributed significantly to the practical application of ICSI, IVF, stem cell culture, and gamete vitrification in both research and production settings. His work has bridged academic research and real-world agricultural biotechnology, advancing the use of cutting-edge reproductive technologies in livestock genetics and breeding programs.

📡 Research Projects 

Jenin Victor Cortez Polanco has led pioneering research in animal cloning, notably producing Peru’s first cloned calves via embryonic bipartition and somatic nuclear transfer using the Handmade Cloning method. He developed a patented technique for generating homozygous twin embryos, earning international recognition. His projects also include advanced work in IVF, ICSI, stem cell culture, and gamete vitrification in livestock. These initiatives have significantly advanced genetic improvement and reproductive efficiency in animal biotechnology.

🔬 Research Focus

Jenin’s research primarily centers on the advancement of reproductive technologies in animals, with a strong focus on cloning, embryonic bipartition, and stem cell applications. His scientific work aims to optimize the generation of genetically valuable animals and improve reproductive efficiency through innovative biotechnological approaches. He is especially noted for pioneering methodologies in handmade cloning and generating homozygous twins, contributing significantly to the field of animal biotechnology.

📘 Publication

Effect of Pre-IVM Duration with cAMP Modulators on the Production of Cloned Equine Embryos and Foals
👨‍🔬 Authors: Jenin Victor Cortez Polanco, Kylie Hardwicke, Carlos E. Méndez-Calderón, Christopher Grupen
📘 Journal: Animals
📅 Year: 2025

Lynn Fainsilber Katz | Material Science | Best Researcher Award-2385

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Prof. Dr. Lynn Fainsilber Katz | Material Science | Best Researcher Award 

Dr. Lynn Fainsilber Katz is a Research Professor of Psychology at the University of Washington, specializing in child clinical and developmental psychology. She serves as Associate Director of the Center for Child and Family Well-Being and directs the MA program in Applied Child and Adolescent Psychology. Her research focuses on emotion regulation, parenting interventions, child behavior disorders, and the effects of family conflict and trauma. With over three decades of experience, she integrates research, teaching, and clinical practice to improve child and family mental health.

Prof. Lynn Fainsilber Katz ,  University of Washington, United States

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🎓 Education

Dr. Lynn Fainsilber Katz holds a Ph.D. in Psychology from the University of Illinois at Urbana-Champaign, completed. Prior to that, she earned a Master of Arts degree in Psychology from the New School for Social Research in New York City. Her academic journey began at McGill University in Montreal, where she graduated with honors in Psychology . Her educational foundation is deeply rooted in psychological theory and research, forming the basis for her extensive academic and clinical career.

💼 Experience

Dr. Katz has served as a Research Professor in the Department of Psychology at the University of Washington , where she specializes in Child Clinical Psychology and Developmental Psychology. She is also the Associate Director of the Center for Child and Family Well-Being and directs the university’s Master of Arts program in Applied Child and Adolescent Psychology with a focus on prevention and treatment. Her teaching portfolio includes advanced courses such as Research Methods in Child Clinical Psychology, Seminar in Child Clinical Psychology, Core Concepts in Affective Science, and Social and Emotional Development in Children. In addition to her academic work, Dr. Katz has maintained an active clinical practice , offering services such as parental access evaluations, family therapy, and neuropsychological assessments. , she has conducted evaluations for custody disputes and provided expert witness testimony. Her clinical training includes a comprehensive internship at the University of Washington’s Department of Psychiatry and Behavioral

🛠️ Contributions

Dr. Lynn Fainsilber Katz has significantly advanced understanding of child emotional development, parenting, and family dynamics in high-risk populations. Her research on emotion coaching and parent training interventions has improved outcomes for children with behavioral disorders. She has made important contributions to studies on pediatric cancer, intimate partner violence, and antisocial behavior development. Through her clinical work and academic leadership, she bridges science and practice to support child and family well-being.

📡 Research Projects 

Dr. Lynn Fainsilber Katz has led and contributed to numerous research projects funded by prestigious institutions such as the National Institute of Mental Health and the National Cancer Institute. Her ongoing work includes developing parent training and emotion coaching interventions for children with oppositional defiant disorder. She has investigated emotion regulation and stress response in pediatric cancer survivors and maltreated toddlers. Her long-term studies explore the development of antisocial behavior from early childhood and the impact of family conflict, parenting, and marital violence on children’s emotional well-being.

🔬 Research Focus

Dr. Katz’s research centers on child development, family dynamics, emotion regulation, and the psychological effects of trauma and conflict. She has been the Principal Investigator on numerous prestigious grants, primarily funded by the National Institute of Mental Health (NIMH) and the National Cancer Institute. Her current research includes developing parent training and emotion coaching interventions for children with oppositional defiant disorder and low prosocial emotions. She has also investigated family conflict in families facing pediatric cancer, the impact of intimate partner violence on parenting, and stress reactivity in maltreated toddlers. Her long-term research includes over two decades of work on the continuity and change of antisocial behavior from preschool to middle childhood, as well as studies on adolescent depression, marital conflict, and their impacts on children’s emotional and behavioral outcomes.

📘 Publications

Parental Meta‑Emotion Philosophy: A Review of Research and Theoretical Framework

👨‍🔬 Authors: Lynn Fainsilber Katz, Ashley C. Maliken, Nicole M. Stettler
📘 Journal: Child Development Perspectives
📅 Year: 2012
📌 Overview: This review synthesizes research on parental meta-emotion philosophy and presents a theoretical model highlighting its role in child emotion regulation and adjustment.

Domestic Violence, Emotion Coaching, and Child Adjustment

👨‍🔬 Authors: Lynn Fainsilber Katz, Bess Windecker‑Nelson
📘 Journal: Journal of Family Psychology
📅 Year: 2006
📌 Overview: The study explores how maternal emotion coaching can buffer children from negative outcomes associated with exposure to domestic violence.

Parental Meta‑Emotion Philosophy in Families with Conduct‑Problem Children: Links with Peer Relations

👨‍🔬 Authors: Lynn Fainsilber Katz, Bess Windecker‑Nelson
📘 Journal: Journal of Abnormal Child Psychology
📅 Year: 2004
📌 Overview: Investigates how variations in parental emotional awareness and coaching affect peer relationships in children with conduct problems.

Parental Emotion Coaching and Child Emotion Regulation as Protective Factors for Children with Oppositional Defiant Disorder

👨‍🔬 Authors: Lynn Fainsilber Katz, et al.
📘 Journal: Social Cognitive and Affective Neuroscience (PubMed indexed)
📅 Year: ~2013–2014
📌 Overview: Demonstrates how parental emotion coaching improves emotion regulation and reduces behavioral issues in children diagnosed with oppositional defiant disorder.

Parental Emotion Socialization in Clinically Depressed Adolescents: Enhancing, and Dampening Positive Affect

👨‍🔬 Authors: Lynn Fainsilber Katz, Joann Wu Shortt, Nicholas B. Allen, Betsy Davis, Erin Hunter, Craig Leve, Lisa Sheeber
📘 Journal: Journal of Abnormal Child Psychology
📅 Year: 2014
📌 Overview: Examines parental responses to adolescent positive affect in families with clinical depression, highlighting patterns of emotional dampening and enhancement.

Prof. Christos Bouras | Material Science | Best Researcher Award

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Prof Christos Bouras | Material Science | Best Researcher Award 

Christos Bouras is a Professor in the Department of Computer Engineering and Informatics and currently serves as the Rector of the University of Patras. He holds a Diploma and PhD in Computer Engineering and Informatics from the University of Patras. His research focuses on 5G and beyond networks, network performance, telematics, wireless communications, and e-learning technologies. He has extensive academic and administrative experience, including leadership roles in national research institutes and university governance. He is also an Honorary Professor at Singuan Agriculture University in China and a member of IEEE and ACM.

Prof. Christos Bouras,  University of Patras, Greece

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🎓 Education

Professor Christos Bouras holds both his undergraduate and doctoral degrees from the University of Patras in Greece. He earned his Diploma in Computer Engineering and Informatics from the School of Engineering, Department of Computer Engineering and Informatics. He continued his academic journey at the same institution, completing his PhD in Computer Engineering and Informatics . His education laid a strong foundation in advanced computing and networking systems, which became the cornerstone of his academic and research career.

💼 Experience

Professor Bouras has had a distinguished career at the University of Patras and beyond. He began his professional journer as an Associate Researcher at the Computer Technology Institute (CTI). Concurrently, he was an Associate Researcher at the University of Patras. he also worked as an Associate Researcher at the Biomedical Institute.  He led the Telematics and New Services division at EXPERTNET Ltd. He later served as Supervisor of Research Unit 1 at CTI. He has been the Scientific Supervisor of Research Unit 6 at CTI and Press “Diophantus.” He was Director of the Networking Technology Sector at CTI  and a member of its Board of Directors. Within the University of Patras, Professor Bouras has held multiple leadership roles.He was Director of Postgraduate Studies in the Department of Computer Engineering and Informatics. He served on the Research Committe and was its Vice President he was Vice Rector responsible for Economic Planning and Project Implementation and simultaneously held the position of Vice President of the University’s Property Management Company. He also served as CEO of the same company.He has been serving as the Rector of the University of Patras and President of its Property Utilization and Management Company.

🛠️ Contributions

Professor Christos Bouras has contributed extensively to the advancement of 5G and next-generation wireless networks, particularly in areas such as network performance analysis, dynamic resource allocation, and DUDe (Downlink/Uplink Decoupling) techniques. He has played a pivotal role in integrating telematics and e-learning technologies to improve digital education systems. His academic work includes over 400 publications in high-impact journals and conferences, shaping the future of internet architectures and communication protocols. As a university leader and international collaborator, he has also contributed to the global discourse on smart infrastructure and digital transformation.

📡 Research Projects 

Professor Christos Bouras has led and participated in numerous national and EU-funded research projects, particularly in Horizon and FP7 programs. His projects include work on 5G-PPP initiatives focusing on ultra-reliable and low-latency communication, network slicing, and mmWave technologies. He has also coordinated projects on smart cities and e-learning platforms, such as “WiCCES” (Wireless Infrastructure for Smart Campuses) and “ODISEE” (Open Distributed Intelligent Systems for E-learning Environments). His research consistently bridges academic innovation and real-world telecom and education applications

🔬 Research Focus

Professor Bouras’s research spans a wide range of topics in computer science and engineering. His primary interests include 5G and beyond networks, performance analysis of networking and computer systems, and mobile and wireless communications. He is also deeply involved in research on telematics and the development of new network services, quality of service (QoS) provisioning and pricing in modern communication networks, e-learning platforms, and networked virtual environments. Additionally, he explores technical and social aspects of the World Wide Web, with a focus on how networking technologies impact society and education.

📘 Publications

Pearson Coefficient Enhanced Multi-Branch Joint Attention Network and Adaptive Decomposition Based Dual Adaptive Fault Diagnosis Scheme for Rolling Bearing

👨‍🔬 Authors: Dongfang Zhao, et al.
📘 Journal: Signal, Image and Video Processing
📅 Year: 2025
📌 Overview: This paper presents a novel dual adaptive fault diagnosis framework leveraging Pearson correlation coefficients and a joint attention mechanism, significantly improving the accuracy of bearing fault detection under complex conditions.
📊🧠🛠️

Multiscale Attention Feature Fusion Network for Rolling Bearing Fault Diagnosis Under Variable Speed Conditions

👨‍🔬 Authors: Dongfang Zhao, et al.
📘 Journal: Signal, Image and Video Processing

📅 Year: 2024
📌 Overview: This study introduces a multiscale attention-based deep learning model that enhances feature fusion and generalization in rolling bearing fault diagnosis, particularly effective under varying speed scenarios.
⚙️🔍📉

Dr Dongfang Zhao | Electrical Properties of Materials | Best Innovator Award

Published on by Material Scientist

Dr Dongfang Zhao | Electrical Properties of Materials | Best Innovator Award

Dr. Dongfang Zhao is a dedicated researcher and lecturer at Shanghai Polytechnic University, specializing in artificial intelligence and mechanical fault diagnosis. Since 2014, he has advanced the frontiers of intelligent systems in industrial diagnostics. After completing his Ph.D. at Shanghai University in 2021, he pursued postdoctoral research at the Control Science and Engineering Research Station. Recognized nationally for his outstanding doctoral dissertation, Dr. Zhao continues to drive innovation in AI-enhanced fault detection. He has published 20+ SCI/EI-indexed papers, earning ~500 citations, and contributes significantly to academic and practical advancements. 📚🤖🔧

Dr Dongfang Zhao, Shanghai Polytechnic University, China

Profile

SCOPUS

🎓 Education

Dr. Zhao earned his Ph.D. in Measurement, Control, and Instrumentation from Shanghai University in 2021, where his dissertation was nominated for a national excellence award. He built his foundation in engineering and research through a series of rigorous academic training steps. Following graduation, he immediately joined a prestigious postdoctoral program in Control Science and Engineering. His academic path reflects a commitment to merging theoretical depth with applied innovation in intelligent diagnostics and control systems. 📖🎓🔍

💼 Experience

Currently serving as a lecturer and master’s supervisor at Shanghai Polytechnic University, Dr. Zhao is actively engaged in research and teaching. He completed a postdoctoral fellowship at the Control Science and Engineering Research Station of Shanghai University. Professionally, he has collaborated on several government and industrial research projects, including two National Natural Science Foundation of China initiatives and AI-enabled fault analysis programs. His diverse academic and industry-facing experiences reflect a holistic career in intelligent systems and real-world fault mitigation. 🏫🧪⚙️

🛠️ Contributions

Dr. Dongfang Zhao has developed three advanced AI models tailored to tackle diverse industrial diagnostic challenges. DRANet enhances fault detection accuracy under strong noise 💥, while DBANet ensures precise diagnosis under variable rotational speeds 🔄 using extreme multi-scale entropy. Furthermore, SCANet excels in unlabeled diagnostic scenarios 🚫🏷️, reducing domain confusion and boosting generalization 🌐. These innovations significantly advance smart maintenance, ensuring reliability, adaptability, and intelligence in complex mechanical systems—paving the way for next-generation predictive diagnostics in Industry 4.0 🔧🌍.

📡 Research Projects 

Dr. Dongfang Zhao has led five significant research projects, including a prestigious Super Postdoctoral Incentive Program project in Shanghai, an AI-enabled initiative from the Shanghai Education Commission, and two provincial/ministerial key lab open funds. He also directed a school-level youth innovation project at Shanghai Polytechnic University. Additionally, as a technical backbone, he has contributed to two National Natural Science Foundation of China projects, a Shanghai Science & Agriculture program, and a classified aerospace project. These engagements demonstrate his leadership in AI-driven diagnostics and interdisciplinary collaboration across academia and high-impact industries. 🚀🧠📡🔍💼

🔬 Research Focus

Dr. Zhao’s research revolves around AI-based fault diagnosis for mechanical systems, particularly in complex and noisy environments. His work spans domain adaptation networks (DRANet, DBANet, SCANet) and advanced entropy-based methods for speed-invariant diagnostics. He develops frameworks that increase system robustness, generalization, and diagnostic precision under non-ideal conditions. This includes intelligent modeling for unlabeled or variable-speed environments—challenges typical in modern industrial systems. His research directly supports smart manufacturing, predictive maintenance, and Industry 4.0 frameworks. 🧠📡🔩

📘 Publications

Pearson Coefficient Enhanced Multi-Branch Joint Attention Network and Adaptive Decomposition Based Dual Adaptive Fault Diagnosis Scheme for Rolling Bearing

👨‍🔬 Authors: Dongfang Zhao, et al.
📘 Journal: Signal, Image and Video Processing
📅 Year: 2025
📌 Overview: This paper presents a novel dual adaptive fault diagnosis framework leveraging Pearson correlation coefficients and a joint attention mechanism, significantly improving the accuracy of bearing fault detection under complex conditions.
📊🧠🛠️

Multiscale Attention Feature Fusion Network for Rolling Bearing Fault Diagnosis Under Variable Speed Conditions

👨‍🔬 Authors: Dongfang Zhao, et al.
📘 Journal: Signal, Image and Video Processing

📅 Year: 2024
📌 Overview: This study introduces a multiscale attention-based deep learning model that enhances feature fusion and generalization in rolling bearing fault diagnosis, particularly effective under varying speed scenarios.
⚙️🔍📉

Mr Ankur Aggarwal | Materials Characterization Techniques | Best Researcher Award

Published on by Material Scientist

Mr Ankur Aggarwal | Materials Characterization Techniques | Best Researcher Award

Mr. Ankur Aggarwal 🧑‍🔬 is a dedicated research scholar at Banaras Hindu University (BHU) 🏛️, specializing in Dairy Science & Food Technology 🥛. With B.Tech and M.Tech degrees in Dairy Technology and Chemistry from NDRI, Karnal 📘, he is UGC-NET (JRF), CSIR-JRF, ICAR-SRF, and ASRB-NET qualified. His research focuses on functional dairy products, metabolomics, and value-added foods 🌾. A recipient of several Best Oral Presentation Awards 🥇 and an active reviewer in top journals, he combines innovation with impact in food research. His work contributes to nutrition enhancement, sustainability, and public health 🍽️💡.

Mr Ankur Aggarwal, Banaras Hindu University, India

Profile

SCOPUS

ORCID

GOOGLESCHOLAR

🎓 Education 

Mr. Aggarwal completed his B.Tech in Dairy Technology 🎓 and M.Tech in Dairy Chemistry 🧪 from the National Dairy Research Institute (NDRI), Karnal. Currently, he is pursuing his Ph.D. at Banaras Hindu University (BHU) 🏫 in the Department of Dairy Science and Food Technology. He has qualified several national-level competitive exams including UGC-NET with JRF, CSIR-JRF, ICAR-SRF, and ASRB-NET 📚✅. His academic journey reflects a strong foundation in dairy technology, food chemistry, and scientific research, preparing him well for advanced interdisciplinary work in food science and nutrition 🥛🔬.

💼 Experience 

Mr. Ankur Aggarwal has extensive experience in experimental research, focusing on the development of functional foods using millets, flaxseeds, black wheat, and probiotics 🌾🧫. He has published in high-impact journals, participated in multiple national/international conferences, and delivered award-winning presentations 🏆. He’s skilled in HR-MS, HPLC, GC-MS, FTIR, and electrophoresis techniques, with knowledge of food safety protocols (FSSAI) and product development 🧪🍶. He also serves as a peer reviewer for reputed journals like Food Control and Food Research International, reflecting his engagement in the wider scientific community 🌍📖.

🏆 Award

Mr. Ankur Aggarwal has earned multiple prestigious awards for his impactful oral and poster presentations at national and international conferences 🌐. His research covers eco-friendly synthesis, millet-based functional foods, probiotic dairy innovations, and shelf-life enhancement of traditional snacks 🥛🌾🧄. He secured 1st position at conferences like IEEC-BHU, AAVASILES, and AMIFOST, and won Best Oral/Poster Presentation Awards 🥇🥈🥉 at ASHAA, Agro-tech, and Amity University events. His recognized works reflect scientific rigor, food innovation, and dedication to sustainable nutrition and agri-food technology 🍽️🔬🌍—marking him as a leading young voice in food science research.

🔬 Research Focus 

Mr. Aggarwal’s research is centered on nutraceutical and functional dairy innovations 🥛✨. He works on fermented dairy products, probiotic formulations, and plant-based food enhancements using millets, flaxseeds, and black wheat 🌾🧪. His studies employ metabolomics, mass spectrometry, and protein characterization to analyze health benefits, bioavailability, and shelf-life improvement. He aims to create sustainable, health-promoting foods by integrating traditional ingredients with modern food processing tools. His work aligns with global nutrition goals, addressing challenges in malnutrition, lifestyle disorders, and eco-friendly packaging solutions 🧬🥗🌍.

📚 Publications

Metabolomics and Microscopic Profiling of Flaxseed Meal-Incorporated Peda

Authors: S. Maurya, T. Verma, A. Aggarwal, M.K. Singh, A.D. Tripathi, A. Trivedi
Journal: Food Chemistry: Molecular Sciences

Exploring the Probiotic and Prebiotic Dynamics of Cheese: An Updated Review

Authors: A. Aggarwal, A. Parmar, S.P. Panigrahi, T. Verma, P. Dhyano, S.L. Bajya, et al.
Journal: Annals of Phytomedicine

Preservation Approaches for Milk and Milk Products: A Review

Authors: T. Verma, A. Aggarwal, A.D. Tripathi, D.C. Rai, S. Jaspal
Journal: Indian Journal of Dairy Science

Formulation and Quality Attributes of Nutrient-Enriched Black Wheat Rusks

Authors: R. Devpal, T. Verma, A. Aggarwal, R. Sharma
Journal: Journal of Cereal Science

Development of Herbal Ice Cream Parameters Using Response Surface Methodology and Its Storage Studies

Authors: S. Shakya, A. Aggarwal, D.C. Rai, T. Verma, K. Nagar, A. Singh, B. Singh
Journal: Journal of Stored Products Research

Optimization of Soya-Enriched Burfi by Using Response Surface Methodology and Its Impact on Biochemical Parameters in Albino Rats

Authors: T. Verma, J. Singh, A. Aggarwal
Journal: Food Chemistry Advances

Dr Meng Wang | Interfacial Phenomena | Best Researcher Award

Published on by Material Scientist

Dr Meng Wang | Interfacial Phenomena | Best Researcher Award

Dr. Meng Wang is an accomplished researcher and Associate Professor at the School of Information Science and Engineering, Southeast University (Wuxi Campus). He earned his Ph.D. in Electromagnetic Fields and Microwave Technology from Southeast University and previously worked as a Senior Engineer at Huawei Technologies. His research focuses on spoof surface plasmon polaritons (SSPPs), leaky-wave antennas, and metamaterials for next-gen communication systems 📡. With 28 SCI papers, 9 patents, and multiple awards including the Huawei Director’s Award, Dr. Wang combines innovation, academic excellence, and industrial collaboration 🌐📘🏆, making him a standout in the field of antenna and wave engineering.

Dr Meng Wang, Southeast University, Wuxi campus, China

Profile

SCOPUS

ORCID

GOOGLESCHOALR

🎓 Education

Dr. Meng Wang completed his academic journey with distinction in the field of engineering and communications. He earned his Doctor of Engineering in Electromagnetic Fields and Microwave Technology from Southeast University, Nanjing (2015–2021), one of China’s top-tier research universities 🏫📡. Prior to that, he obtained his Bachelor of Engineering in Communication Engineering from Nanjing University of Science & Technology (2011–2015), where he developed a strong foundation in wireless systems and signal transmission 📶💡. His educational background reflects a consistent focus on advanced electromagnetic theory and its real-world applications, forming the bedrock for his current innovations in antenna technologies 📘⚙️.

🏫 Experience

Dr. Meng Wang brings a blend of academic and industry experience to the field of electromagnetic and microwave engineering. Since September 2022, he has served as an Associate Professor at the School of Information Science and Engineering, Southeast University (Wuxi Campus), where he leads cutting-edge research on SSPPs, antennas, and metasurfaces 📡. Prior to this, he worked at Huawei Technologies Co., Ltd. as a Senior Engineer A (March 2021–August 2022), contributing to innovative wireless technologies for commercial applications 📶. His dual experience empowers him to bridge theoretical advancements with real-world deployment across academic and industrial platforms 🔧🏫.

🥇 Research Highlights & Honors 

Dr. Meng Wang has made significant contributions in spoof surface plasmon polaritons, leaky-wave antennas, and tunable microwave systems. 🛰️ As first author, he has published 16 journal papers, including 8 in IEEE Transactions (CAS Zone 1). 📝 He holds 9 invention patents (5 granted) and leads 7 research projects funded by top institutions like NSFC and Huawei. 🏗️ His honors include the Best Paper Award (ICMMT), Metamaterials Academic Newcomer Award, and Huawei Outstanding New Employee Award 🥇. He actively serves as a Guest Editor, Session Chair, and Keynote Speaker at international conferences 🌍, showcasing leadership in wave engineering and communication innovation. 🚀

📶 Patents

Dr. Meng Wang’s intellectual contributions to advanced antenna technologies are reflected in nine cutting-edge Chinese patents, blending theoretical breakthroughs with practical innovation. His patents cover spoof surface plasmon polariton (SSPP) filters, leaky-wave antennas, beam-scanning methods, and polarization reconfigurable arrays—all crucial to next-gen wireless and mm-wave communication systems 📶. As first inventor on four patents, including dielectric rod antennas, active antenna systems, and whip antennas, Dr. Wang demonstrates leadership in compact, high-efficiency antenna design 🎯. These inventions enhance communication device performance across 5G, IoT, and satellite systems, showcasing his excellence in translational research and tech innovation 🔬🚀📈.

📘 Research Contributions 

As first author, Dr. Meng Wang has published 16 journal articles, including 8 in IEEE Transactions, and 2 as corresponding author. He holds 5 granted patents (with 4 pending) and leads 7 competitive research projects, notably with NSFC and Huawei. His excellence is recognized with awards such as the ICMMT Best Paper Award, National Doctoral Scholarship, and Huawei’s Outstanding New Employee Award (2021) 🏆. He serves as Guest Editor for Micromachines 📰, Session Chair at major IEEE events 🎤, and Invited Speaker at top-tier conferences, including CMMC and APCAP, showcasing leadership in microwave and antenna innovation.

🔬 Research Focus 

Dr. Meng Wang’s research is rooted in the development and application of advanced electromagnetic technologies, particularly in spoof surface plasmonic metamaterials, leaky-wave antennas, and array antennas. His work pioneers the use of metasurfaces and plasmonic structures to manipulate electromagnetic waves across microwave and millimeter-wave spectra ⚡. He designs ultrawideband filters, beam-scanning systems, and reconfigurable antenna arrays, enabling breakthroughs in next-generation wireless communication, 5G/6G, and THz technologies 📶. His interdisciplinary approach bridges fundamental theory and real-world application, making significant contributions to compact, high-performance devices for modern telecommunication systems 🌐📶📊.

📚 Publications

A Dual-Mode UWB Antenna for Pattern Diversity Application

Authors: J.F. Liu, W. Tang, M. Wang, H.C. Zhang, H.F. Ma, X. Fu, T.J. Cui
Journal: IEEE Transactions on Antennas and Propagation, 2020

Broadside Radiation from Chern Photonic Topological Insulators

Authors: Z. Xu, M. Wang, S. Fang, H. Liu, Z. Wang, D.F. Sievenpiper
Journal: IEEE Transactions on Antennas and Propagation, 2021

Spoof Surface Plasmonics: Principle, Design, and Applications

Authors: Z.W. Cheng, M. Wang, Z.H. You, H.F. Ma, T.J. Cui
Journal: Journal of Physics: Condensed Matter, 2022

A Compact Axial-Mode Helical Antenna Based on Spoof Surface Plasmon Polaritons

Authors: Z.W. Cheng, J. Deng, M. Wang, J.R. Chen, S. Wang, S. Luan, X. Liu, F. Gao
Journal: IEEE Transactions on Antennas and Propagation, 2023

Glide Symmetry for Mode Control and Suppression of Coupling in Dual-Strip SSPP Lines

Authors: X.T. Yan, W. Tang, J.F. Liu, M. Wang, X.X. Gao, T.J. Cui
Journal: Advanced Photonics, 2021

Babinet-Duality-Engineered Lightweight Spoof Surface Plasmonic Leaky-Wave Antenna

Authors: M. Wang et al.
Journal: AEU – International Journal of Electronics and Communications, 2025

Stable and Continuous Dual-Band Leaky Wave Radiation Based on SSPPs and Mode Modulation

Authors: M. Wang et al.
Journal: IEEE Transactions on Antennas and Propagation, 2025

A High-Sensitive Cavity Sensor Antenna With Interference Suppression Based on Spoof Localized Surface Plasmons

Authors: M. Wang et al.
Journal: IEEE Transactions on Instrumentation and Measurement, 2025