Noureddine Chaachouay | Phytotherapy | Best Researcher Award

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Assist. Prof. Dr. Noureddine Chaachouay | Phytotherapy | Best Researcher Award

Professor, Hassan First University, Settat, Morocco

Prof. Dr. Necibe Fusun Oyman Serteller is a distinguished academic in Electrical-Electronic Engineering at Marmara University, with over two decades of teaching experience. She earned her bachelor’s degree in 1989 from Istanbul Technical University (ITU), followed by postgraduate studies at ITU and a doctorate from Marmara University in 2000. Her research interests include electric machine modeling, numerical analysis of electrical systems, electromagnetic field theory, and engineering education. Prof. Dr. Serteller is passionate about guiding the next generation of engineers, advising PhD and Master’s students, and contributing to advancements in electrical engineering. She has authored multiple books, published over 15 research papers in reputable journals, and is actively involved in both academia and industry. With numerous national collaborations and an international partnership, she is recognized for her practical innovations and contributions to the field of electrical engineering.

Profile

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Education

Prof. Dr. Necibe Fusun Oyman Serteller completed her undergraduate education at Istanbul Technical University (ITU), Faculty of Electrical-Electronic Engineering, graduating in 1989. She pursued her postgraduate studies at ITU and completed them in 1996. Subsequently, Prof. Dr. Serteller earned her doctorate from Marmara University’s Faculty of Technology, Department of Electrical-Electronic Engineering, in 2000. Throughout her academic journey, she focused on the core subjects of electric machine modeling, design, and the numerical analysis of electrical systems. Her doctoral research laid the foundation for her extensive contributions to the electrical engineering field. With a passion for education, she has continuously updated her knowledge base to reflect the evolving needs of the industry and academia. Prof. Dr. Serteller’s strong academic background has played a critical role in shaping her research focus and guiding her as a mentor to future engineers and researchers.

Experience

Prof. Dr. Necibe Fusun Oyman Serteller has over 20 years of experience as a lecturer in the Department of Electrical-Electronics at Marmara University. Since joining in 2000, she has been dedicated to advancing research and education in electrical engineering. Her experience spans both theoretical and practical aspects of electric machine modeling, numerical analysis, and electromagnetic field theory. She has guided countless PhD and Master’s students, helping them navigate their research projects while fostering a robust academic environment. In addition to her academic achievements, Prof. Dr. Serteller has collaborated on various industry consultancy projects, offering her expertise in solving real-world engineering challenges. She has published over 15 research papers and authored multiple books on electric machine modeling and design. As an active editorial board member and a prominent figure in IEEE societies, Prof. Dr. Serteller continues to contribute to the advancement of electrical engineering worldwide.

Research Focus

Prof. Dr. Necibe Fusun Oyman Serteller’s primary research focus revolves around the modeling, analysis, and design of electric machines, particularly through numerical methods. Her work explores the electromagnetic field theory and its application in the modeling and design of various electrical systems. She is particularly interested in the numerical solutions of electromagnetic fields, which play a crucial role in enhancing the performance and efficiency of electric machines. Prof. Dr. Serteller’s research integrates theoretical knowledge with simulation techniques, enabling the design of innovative solutions for modern electrical systems. Additionally, her research efforts extend to the development of advanced educational techniques for teaching engineering students, ensuring they gain practical insights alongside theoretical learning. Her ongoing and completed research projects have made significant contributions to both academia and industry, focusing on the practical applications of electrical engineering principles to solve real-world challenges.

Publication Top Notes

  1. Electric Machine Design and Modeling: Theoretical Approaches and Applications 📚
  2. Electromagnetic Field Theory and Numerical Solutions for Electrical Systems 🔬
  3. Modeling of Electrical Systems for Industrial Applications 🏭
  4. Electric Machines: Numerical Approaches and Simulations ⚙️
  5. Numerical Analysis of Electromagnetic Fields in Electric Machines 📏
  6. Advances in Electric Machine Design and Performance Optimization ⚡
  7. Engineering Education: New Approaches and Methodologies 🎓
  8. Electric Machines in Modern Electrical Systems 🔌
  9. Practical Approaches to Electric Machine Modeling and Analysis 💡
  10. Innovative Solutions in Electrical Engineering: Modeling and Design 🌟

 

Samuel Polo | Sustainable Manufacturing | Best Researcher Award

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Mr. Samuel Polo | Sustainable Manufacturing | Best Researcher Award

Student, National University of Distance Education (UNED), Spain

👨‍🔬 Samuel Polo Alonso is a dedicated mechanical engineer specializing in mechanical and industrial manufacturing design. With over three years of experience in the machine tool sector, Samuel has excelled in developing parts and assemblies for complex machines. He is passionate about 3D modeling and continuously works to stay updated with the latest technological advancements. Samuel’s expertise extends to project management, having successfully managed and collaborated on teams for large-scale milling machine projects and injection mold production. His professional journey is complemented by academic contributions, including published articles in journals and presentations at conferences. Samuel’s combination of practical skills and research-driven expertise positions him as a promising leader in mechanical engineering. 🌍📚

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Education

🎓 Samuel holds a Master’s Degree in Advanced Manufacturing Engineering from the National University of Distance Education (UNED), equipping him with a deep understanding of the latest manufacturing technologies. He also earned a Bachelor’s Degree in Mechanical Engineering from the University of Burgos (UBU), where he laid the foundation for his engineering knowledge. His education blends theoretical and practical knowledge, allowing him to contribute to both industrial practices and academic advancements. Samuel’s studies have provided him with a comprehensive background in mechanical systems, materials, and design methodologies, which he applies in his work and research endeavors. This combination of high-level education and hands-on experience makes him a strong asset in the engineering and manufacturing sectors. 💡📘

Experience

💼 Samuel has gained valuable experience through his roles at notable companies such as Hypatia GNC Accesorios, Nicolás Correa, and Grupo Antolín. At Hypatia, he was responsible for the design and development of large milling machines, demonstrating his ability to handle complex projects. His role also included managing project teams, ensuring deadlines and quality standards were met. At Nicolás Correa, Samuel developed mechanical solutions for large milling machines, further enhancing his problem-solving and engineering expertise. Additionally, he supervised machining projects at Grupo Antolín, focusing on the production of injection molds, where he utilized his skills in project management and design to ensure efficient manufacturing processes. Samuel’s experience in these key areas has honed his technical abilities and leadership skills, positioning him as a well-rounded engineer with a deep understanding of both design and manufacturing. 🛠️🤝

Research Focus

🔬 Samuel’s research primarily focuses on the evolution and current trends in cooling and lubrication techniques for sustainable machining. His work aims to optimize these processes to improve efficiency and reduce environmental impact in the manufacturing industry. By exploring the relationship between cooling, lubrication, and sustainability, Samuel contributes to the development of more eco-friendly and efficient machining methods. His systematic review of these techniques, in collaboration with other researchers, sheds light on the latest advancements in the field. Samuel’s research efforts are grounded in a practical understanding of mechanical systems, and his findings provide valuable insights for improving machining processes in industrial settings. With his background in mechanical design and project management, Samuel continues to pursue research that bridges the gap between theory and real-world applications, pushing for advancements in both the research and industrial spheres. 🌱🔧

Publication Top Notes

📄 Evolution and Latest Trends in Cooling and Lubrication Techniques for Sustainable Machining: A Systematic Review (2025)
DOI: 10.3390/pr13020422

Ali Mubaraki | Applied Mathematics | Best Researcher Award

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Dr. Ali Mubaraki | Applied Mathematics | Best Researcher Award

Professor assistant, Taif University, Saudi Arabia.

Dr. Ali Mohammed Ali Mubaraki is an accomplished academic and researcher in the field of mathematics, currently serving as an Assistant Professor at Taif University, Saudi Arabia. He completed his Ph.D. in Mathematics from Keele University, UK, in 2021, specializing in asymptotic models for surface waves in coated elastic solids. With a rich academic background, including a Master’s from Taibah University and a Bachelor’s from King Abdulaziz University, Dr. Mubaraki’s work focuses on wave propagation, elasticity, and surface waves. He has contributed significantly to multiple publications and remains active in advanced research areas. He is an influential member of the academic community, having worked as a lecturer at the Federal University of Dutse, Nigeria, prior to his tenure at Taif University. His expertise extends to areas such as MATHEMATICA, Maple, and LaTeX, making him a valued asset in both teaching and research.

Education

Dr. Mubaraki holds a Doctor of Philosophy (Ph.D.) in Mathematics from Keele University (2021), where his thesis focused on surface wave propagation in coated elastic solids under varying conditions. Before that, he earned a Master of Science (M.Sc.) from Taibah University, Saudi Arabia (2016), where he studied nearly open sets in topological spaces, achieving a CGPA of 4.87 out of 5.0. His academic journey began with a Bachelor of Science (B.Sc.) in Mathematics from King Abdulaziz University, Saudi Arabia (2001), graduating with a CGPA of 4.27 out of 5.0. Dr. Mubaraki’s educational trajectory has been marked by excellence, supported by scholarships throughout his studies, including full-time doctorate and master’s scholarships from Taif University and the Saudi Ministry of Education.

Experience

Dr. Mubaraki’s professional experience includes his current position as Assistant Professor in the Department of Mathematics at Taif University since 2021. Prior to this, he served as a Lecturer I at the Federal University of Dutse, Nigeria, for nearly seven years (2014-2021). Additionally, Dr. Mubaraki has extensive teaching experience as a Classroom Teacher in Jizan and Madinah, Saudi Arabia, from 2001 to 2014. His teaching expertise spans a range of mathematical fields, including wave theory, elasticity, and differential equations. At Taif University, he engages in both undergraduate and graduate-level teaching while conducting cutting-edge research in mathematical modeling, wave propagation, and elasticity. He utilizes software like MATHEMATICA, Maple, and LaTeX to complement his teaching and research endeavors.

Awards and Honors

Dr. Ali Mubaraki has earned notable scholarships in recognition of his academic excellence. He was awarded a full-time Doctorate Degree Scholarship from Taif University (2015-2021), as well as a full-time Master’s Degree Scholarship from the Saudi Ministry of Education to study at Taibah University (2009-2011). These scholarships are a testament to his exceptional academic performance and research potential. Throughout his career, Dr. Mubaraki’s research contributions have gained recognition from international academic communities, further solidifying his reputation as a leading researcher in the field of mathematics. His contributions to wave propagation and elasticity models have been cited extensively in top scientific journals, affirming the significance of his work in both theoretical and applied mathematics.

Research Focus

Dr. Ali Mubaraki’s research primarily focuses on wave propagation, elasticity, and surface waves in mathematical modeling. His work explores complex phenomena such as surface waves in coated elastic solids, wave solutions in porous media, and wave behaviors under fractional temporal variation. He also investigates applications in thermoelasticity, heat interactions, and the effects of external forces on wave propagation. Dr. Mubaraki employs asymptotic methods to model wave behavior in various materials, providing valuable insights into the mechanical properties of solids under different conditions. His research extends to the analysis of solitons, nonlinear dynamics, and the effects of external fields like magnetic forces and gravitational forces. Dr. Mubaraki’s contributions are advancing both theoretical and applied mathematics, particularly in the fields of elasticity and wave propagation.

Publications

  1. Wave propagation in an elastic coaxial hollow cylinder when exposed to thermal heating and external load 📚
  2. Wave solutions and numerical validation for the coupled reaction-advection-diffusion dynamical model in a porous medium 📐
  3. Effect of fractional temporal variation on the vibration of waves on elastic substrates with spatial non-homogeneity 🌊
  4. Additional solitonic and other analytical solutions for the higher-order Boussinesq-Burgers equation 📝
  5. Explicit model for surface waves on an elastic half-space coated by a thin vertically inhomogeneous layer 🔬
  6. Surface wave propagation in a rotating doubly coated nonhomogeneous half space with application 🌐
  7. Homoclinic breathers and soliton propagations for the nonlinear (3+1)-dimensional Geng dynamical equation 🚀
  8. Heat and wave interactions in a thermoelastic coaxial solid cylinder driven by laser heating sources 🌞
  9. Propagation of surface waves in a rotating coated viscoelastic half-space under the influence of magnetic field and gravitational forces ⚛️
  10. Modeling the dispersion of waves on a loaded bi-elastic cylindrical tube with variable material constituents 🧲
  11. On Rayleigh wave field induced by surface stresses under the effect of gravity 🌍
  12. Asymptotic models for surface waves in coated elastic solids 📏
  13. Pulse-driven robot: motion via distinct lumps and rogue waves 🤖
  14. Surface waves on a coated homogeneous half-space under the effects of external forces 🌐
  15. Analysis of horizontally polarized shear waves on a highly inhomogeneous loaded bi-material plate 📊
  16. Closed-form asymptotic solution for the transport of chlorine concentration in composite pipes 🚰
  17. Optical devices: motion via breathers, rogue waves and rational solitons 💡
  18. Modeling the dispersion of waves in a multilayered inhomogeneous membrane with fractional-order infusion 🧬
  19. A New Class of Coordinated Non-Convex Fuzzy-Number-Valued Mappings with Related Inequalities and Their Applications 🧠
  20. Asymptotic Consideration of Rayleigh Waves on a Coated Orthorhombic Elastic Half-Space Reinforced Using an Elastic Winkler Foundation 📐

 

Lilyana Khatib | Rehabilitation | Best Researcher Award

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Ms. Lilyana Khatib | Rehabilitation | Best Researcher Award

Researcher, University of Haifa, Israel.

Lilyana Khatib is a passionate and skilled Machine Learning (ML) Algorithm Engineer with a focus on machine and deep learning algorithms. Holding a Master’s degree in Computer Science, she specializes in applying advanced machine learning techniques to real-world challenges, particularly in the healthcare and medical fields. She is known for her quick learning ability and disciplined approach to problem-solving. In her current role at Biosense Webster, Lilyana is involved in developing algorithms for electrophysiology and cardiac rhythm, contributing to the advancement of medical technology. Beyond her professional work, she is actively engaged in volunteering efforts, including mentoring and empowering Arab women in STEM and exposing high-school students to the world of technology. Her research interests also extend to adaptive testing systems and computer vision applications.

Profile

Scopus

Education 

Lilyana Khatib completed her M.Sc. in Computer Science at the University of Haifa, graduating with a GPA of 95, cum laude. During her studies, she focused on machine learning and its applications in various domains, including healthcare. She pursued a Deep Learning course at the Technion, where she achieved an impressive grade of 97, demonstrating her mastery in the field. Her academic career was marked by a commitment to excellence, combining theoretical knowledge with practical research. Her B.Sc. in Computer Science from the University of Haifa, with a GPA of 83, laid the foundation for her deep interest in artificial intelligence and machine learning. Lilyana’s academic training enabled her to conduct high-impact research, such as her thesis on adaptive testing for fall risk assessments. She continues to build on this foundation through her professional work and volunteer initiatives.

Experience 

Lilyana Khatib’s professional experience spans across various aspects of machine learning and algorithm development. Currently working as a Machine Learning Algorithm Engineer at Biosense Webster since 2022, Lilyana designs and implements ML algorithms, addressing challenges in electrophysiology and cardiac rhythm. She manages end-to-end ML pipelines, including data collection, feature engineering, model development, and evaluation. In this role, she collaborates with multidisciplinary teams, including hardware, software, and clinical experts, to integrate algorithms seamlessly. Prior to this, she worked as a Research Assistant at Bar Ilan University, contributing to ML research on sign language recognition and motion capture analysis. Additionally, she served as a Teaching Assistant at the University of Haifa, tutoring computer science students and creating AI lab exercises. Lilyana’s diverse experiences allow her to approach problems with both academic rigor and practical insight, making her a versatile contributor to machine learning projects.

Awards and Honors 

Lilyana Khatib has received several academic and professional accolades throughout her career. She graduated with distinction (cum laude) from the University of Haifa with a Master’s degree in Computer Science, reflecting her strong academic performance and dedication to excellence. Her research contributions have also earned recognition in the field of machine learning, with her work on adaptive testing algorithms for older adults being published in Applied Sciences. In addition, her participation in international conferences such as the Language Resources and Evaluation Conference (LREC) in Marseilles, France, where she co-authored a paper on sentiment analysis, further highlights her standing in the research community. Beyond academic awards, Lilyana is also celebrated for her leadership roles, especially in mentoring and empowering underrepresented groups in STEM, such as her involvement as a team lead at AWSc and a mentor at Tsofen, showcasing her commitment to fostering diversity and inclusion in technology.

Research Focus 

Lilyana Khatib’s research focuses on the intersection of machine learning, healthcare, and computer vision. Her primary area of interest lies in developing advanced algorithms for healthcare applications, specifically in cardiac rhythm analysis, electrophysiology, and fall risk assessments. Through her work at Biosense Webster, she applies both classic machine learning and deep learning techniques to real-world challenges in the medical field, improving patient outcomes through more accurate diagnostics and assessments. Lilyana’s M.Sc. thesis, which explored a machine learning-based computerized adaptive testing algorithm for fall risk, demonstrates her dedication to healthcare technology. Additionally, she has worked on projects such as the Crying Detection Application, which uses computer vision to detect emotional states without relying on audio. Her research is highly interdisciplinary, integrating computer science, healthcare, and AI, and aims to make a meaningful impact on medical practices and patient care, particularly for vulnerable populations such as older adults.

Publications

  • Using Machine Learning to Shorten and Adapt Fall Risk Assessments for Older Adults 🧠📊 (Applied Sciences, 2025)
  • Capturing Distalization 📖 (Workshop on Sentiment Analysis and Linguistic, LREC, Marseilles, France, 2022)

Vladimir Rovenski | Differential geometry | Best Researcher Award

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Prof. Dr. Vladimir Rovenski | Differential geometry | Best Researcher Award

Full Professor, University of Haifa, Israel.

Professor Vladimir Rovenski, born May 12, 1953, in Karaganda (Kazakhstan, USSR), is a distinguished mathematician. He has been a professor emeritus at the University of Haifa since 2021, having held various academic positions, including full professor at the University of Haifa and senior scientist at Technion. Rovenski’s research spans differential geometry, topology, applied mathematics, and mathematical modeling. Over his career, he has contributed to the study of foliations, curvature, and anisotropic elasticity. He has published over 195 papers and 14 books and organized multiple international conferences. Rovenski is also a guest editor for numerous special issues in mathematics journals. He remains an active contributor to the academic community with extensive involvement in international projects and conferences.

Profile 

Google scholar

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Education

Professor Rovenski obtained his M.Sc. degree in 1976, Ph.D. in 1985, and D.Sci. in 1994. His academic journey began with a focus on geometry and topology, particularly foliations and curvatures. His M.Sc. thesis on quasi-affine functions and programming was supervised by Prof. G.S. Rubinshtein. His Ph.D. dissertation focused on uniquely projecting surfaces in spheres and projective spaces, guided by Prof. V.A. Toponogov. His D.Sci. dissertation, on geometry and topology of foliations, advanced research on nonnegative curvature in mixed directions. Rovenski earned prestigious diplomas, including Correspondent Member of the Academy of Natural Sciences (1995) and Full Professor (1996).

Experience

Professor Rovenski’s academic career spans several prestigious institutions. He served as a full professor at the University of Haifa from 2004 to 2021, and as a senior scientist at Technion, Israel Institute of Technology, from 1999 to 2004. Before moving to Israel, he was a professor at the State Pedagogical University in Krasnoyarsk, USSR, and at Karaganda State University. His early academic experience also included work at Siberian Building Institute and Karaganda State Polytechnic Institute. Rovenski has been active in supervising postdoctoral students and has organized several international mathematical workshops and conferences. His extensive career reflects a commitment to research, teaching, and advancing mathematical knowledge globally.

Awards and Honors

Professor Rovenski has received numerous awards and honors throughout his career. In 1994, he was awarded the Russian Fund of Fundamental Investigations grant for his work on the geometry and topology of foliations with nonnegative curvature. He was supported by Marie Curie Actions grants between 2008 and 2014 for his work on extrinsic geometry of foliations. He is a long-standing member of the American Mathematical Society (AMS), the Israel Mathematical Union (IMU), and the European Mathematical Society (EMS). Rovenski has also received invitations to visit several universities as a guest professor, further solidifying his reputation as a leading expert in the field.

Research Focus

Professor Rovenski’s primary research interests include differential geometry, topology of submanifolds and foliations, anisotropic elasticity, and piezoelectricity. His work on extrinsic geometry of foliations led to the development of “extrinsic geometric flows,” an innovative method to study foliations with variable adapted metrics. He has explored the Ricci flow on foliated manifolds and the geometry of codimension-one foliations. Rovenski has also contributed to modeling and teaching mathematics using computational tools like MAPLE and MATLAB. His work integrates theoretical developments in geometry with practical applications in engineering, physics, and material science.

Publications

  • Analytical methods in anisotropic elasticity: with symbolic computational tools 📘
  • Foliations on Riemannian manifolds and submanifolds 📚
  • Geometry of Curves and Surfaces with MAPLE 📐
  • Topics in extrinsic geometry of codimension-one foliations 🔎
  • Modeling of Curves and Surfaces with MATLAB® 📊
  • Integral formulae on foliated symmetric spaces 📜
  • Extrinsic geometry of foliations 🧩
  • An example of Lichnerowicz-type Laplacian 📝
  • Mirzakhani’s curve counting and geodesic currents 🔄
  • Integral formulae for a Riemannian manifold with two orthogonal distributions ➗
  • Deforming metrics of foliations 🔄
  • Saint-Venant’s problem for homogeneous piezoelectric beams ⚡
  • Variations of the total mixed scalar curvature of a distribution 🔠
  • On solutions to equations with partial Ricci curvature 🔍
  • New metric structures on g-foliations 🔑
  • Mixed gravitational field equations on globally hyperbolic spacetimes 🌌
  • Almost -Ricci solitons on Kenmotsu manifolds 💫
  • On the rigidity of the Sasakian structure and characterization of cosymplectic manifolds 🧩
  • Integral formulas for a metric-affine manifold with two complementary orthogonal distributions 📏
  • Integral formulas for a Riemannian manifold with several orthogonal complementary distributions 📐

 

Ahmad Waheed sahil | Geotechnical Engineering | Best Researcher Award

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Dr. Ahmad Waheed sahil | Geotechnical Engineering | Best Researcher Award

Civil Engineer, Saitama University, Japan.

Adnan Anwar Malik is a distinguished researcher and academic with expertise in civil and geotechnical engineering. He currently serves as the Head of STEM and Senior Lecturer at the University of Newcastle Australia – Institute of Higher Education in Singapore. Malik holds a Ph.D. and a Master’s in Civil and Environmental Engineering from Saitama University, Japan, and a Bachelor’s in Geological Engineering from the University of Engineering and Technology, Pakistan. He has a rich background in academic and industry roles, having served as an Assistant Professor at Saitama University and a Senior Geotechnical Design Engineer in Qatar. Malik has made significant contributions to the advancement of foundation engineering, particularly screw pile technology, and geotechnical solutions for infrastructure projects. His work spans a wide range of research, from numerical simulations to practical applications in the field of geotechnical engineering.

Education:

Adnan Anwar Malik completed his Ph.D. in Civil and Environmental Engineering from Saitama University, Japan, in 2015, focusing on innovative geotechnical solutions, particularly screw pile foundations. Prior to that, he obtained a Master’s degree in Civil and Environmental Engineering from the same institution in 2011. His academic journey began with a Bachelor’s degree in Geological Engineering from the University of Engineering and Technology, Pakistan, in 2005. Malik’s educational background has provided him with a strong foundation in both theoretical and practical aspects of geotechnical engineering, which he has successfully applied to numerous research and professional projects. His dedication to academia and research has contributed to advancements in geotechnical engineering, paving the way for sustainable infrastructure solutions, especially in foundation technology.

 

Profile:

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Experience :

Adnan Anwar Malik has over a decade of experience in both academia and the civil engineering industry. He is currently the Head of STEM and Senior Lecturer at the University of Newcastle Australia – Institute of Higher Education in Singapore. Prior to this, Malik served as a Lecturer and Program Coordinator at the University of Newcastle, contributing to teaching and curriculum development in engineering. He also served as an Assistant Professor at Saitama University, Japan, where he conducted impactful research on screw piles and geotechnical engineering. His industry experience includes working as a Senior Geotechnical Design Engineer at Ammico Contracting in Qatar and as a Senior Design Engineer in Geotechnical Engineering at National Engineering Services Pakistan (NESPAK). Malik has been involved in multiple international infrastructure projects, specializing in foundation engineering and road construction, and has collaborated on projects related to soil improvement and pavement durability.

Awards and Honors :

Adnan Anwar Malik has received multiple accolades throughout his academic and professional career. His research in the field of screw pile foundations and geotechnical engineering has been widely recognized in various international forums. He has been honored with prestigious opportunities such as working on collaborative projects with leading engineering firms and academic institutions worldwide, including Saitama University and the University of Newcastle. Additionally, Malik has been awarded fellowships and research grants for his work in innovative foundation technologies and soil-structure interaction. His contributions to infrastructure development in regions like Qatar, Pakistan, and Afghanistan have earned him recognition from industry stakeholders for improving construction standards. Although not a member of any professional organizations, Malik’s expertise is highly valued in the civil engineering community.

Research Focus :

Adnan Anwar Malik’s research focuses on advanced geotechnical engineering, with an emphasis on screw pile foundations and their performance under varying conditions. He has led studies investigating the effects of soil conditions, installation loads, and bearing capacities on screw pile behavior, contributing to advancements in deep foundation technology. Malik has also explored the use of geosynthetics in road construction to improve pavement durability and reduce fatigue cracking. His work on soil-structure interaction and sustainable foundation technologies aims to optimize construction practices and enhance infrastructure performance. Malik is dedicated to enhancing the efficiency and reliability of foundation systems, particularly in challenging environments, by applying innovative engineering solutions. His interdisciplinary approach to research includes numerical simulations, experimental studies, and practical applications that contribute to the sustainability and resilience of infrastructure.

Publications :

  1. Numerical Simulation of Triaxial Tests on Recycled Concrete Aggregates 🏗️📚
  2. Effect of moisture change on water retention behavior of unsaturated silty soil 🌧️🧑‍🔬
  3. Effect of Change in Penetration to Rotation Rate on Screw Pile Performance in Loose Sand ⚙️🌍
  4. Advancement ratio effect on screw pile performance in the bearing layer 🛠️🏗️
  5. Coupled Influence of Compaction and Moisture on Unsaturated Soil Response 🌾💧
  6. Feasibility of utilizing recycled concrete aggregate blended with waste tire rubber and drywall waste as pavement subbase material ♻️🛣️
  7. Experimental and Numerical Study on Pressure Distribution under Screw and Straight Pile in Dense Sand ⚖️🧑‍🔬
  8. Predicting Tensile Strength for Prestressed Reinforced Concrete-Driven Piles 💪🧱
  9. Influence of helix bending deflection on the load transfer mechanism of screw piles in sand ⚙️🏖️
  10. Tip Shape Effect on Screw Pile Installation and Ultimate Resistance ⚒️🛠️
  11. Artificial Intelligence-Based Modeling for the Estimation of Q-Factor and Elastic Young’s Modulus of Sandstones 🧠🌍
  12. Behavior of Unsaturated Silty Soil Due to Change in Water Content and Suction 💧🌱

 

 

 

 

Paula Milheiro-Oliveira | Stochastic systems | Women Researcher Award

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Prof. Dr. Paula Milheiro-Oliveira | Stochastic systems | Women Researcher Award

Associate Professor, University of Porto, Portugal

Paula Manuela Lemos Pereira Milheiro de Oliveira is a distinguished researcher and professor specializing in applied mathematics. She holds a Doctorat de Mathématiques Appliquées from Université de Provence, France, and is currently an Associate Professor at the University of Porto. With an extensive research background in stochastic systems, nonlinear filtering, and mathematical modeling, she has contributed significantly to various international projects and collaborations. Dr. Milheiro Oliveira has authored numerous high-impact publications in computational mathematics, structural engineering, and Bayesian statistical modeling. Her expertise spans fluid dynamics, coastal erosion modeling, and digital concrete. She has collaborated with top research institutions across Europe, including INRIA and CNRS in France. As a key investigator in multiple funded projects, she plays a pivotal role in advancing the fields of applied mathematics and engineering. Her interdisciplinary work has received notable citations, solidifying her reputation as a leading figure in mathematical research.

Profile

Education🎓

Dr. Paula Milheiro Oliveira has a solid academic foundation in mathematics. She earned her Doctorat de Mathématiques Appliquées in 1990 from Université de Provence, Aix-Marseille, France, with a thesis on nonlinear filtering in low-noise environments. She also holds a DEA (Master’s) in Applied Mathematics from the same institution (1987). Before that, she completed her Licenciatura (Bachelor’s) in Mathematics with a specialization in Applied Mathematics at the University of Porto, Portugal, in 1985. In 2024, she achieved the prestigious Agregação (habilitation) in Applied Mathematics from the University of Porto, further strengthening her academic credentials. Her educational background reflects her deep expertise in probability theory, stochastic processes, and computational mathematics. With a strong foundation in mathematical modeling and its engineering applications, Dr. Milheiro Oliveira continues to contribute to cutting-edge research and mentorship, shaping future scholars in mathematics and engineering disciplines.

Experience 👩‍🏫

Dr. Paula Milheiro Oliveira has an extensive career in academia and research. Since 2001, she has been an Associate Professor at the University of Porto, where she teaches and mentors students in applied mathematics. Before this, she was an Assistant Professor at the Faculty of Engineering (1991–2001). Her research career began at INRIA, France (1987–1990), where she worked on stochastic processes. She later joined the Institute of Systems and Robotics in Porto (1993–1997), contributing to advanced robotic modeling. Her international experience includes a visiting researcher role at HR Wallingford Ltd, UK, in 1997. Beyond academia, she served as a Science and Technology Manager at CEC (2002–2008). She is a key investigator in multiple projects involving nonlinear filtering, digital concrete, and climate-resilient structures. With ongoing collaborations in France and Portugal, she remains a leading researcher in stochastic modeling and mathematical applications in engineering.

Research Focus 🔬

Dr. Paula Milheiro Oliveira’s research primarily focuses on stochastic systems, nonlinear filtering, and computational mathematics. Her work contributes to diverse fields, including probabilistic modeling, Bayesian networks, and uncertainty quantification. She applies mathematical techniques to solve real-world engineering challenges, such as digital concrete design, coastal erosion prediction, and climate-resilient infrastructure. Her expertise extends to numerical methods for nonlinear wave models, high-performance concrete materials, and self-compacting cementitious composites. A significant part of her research addresses the application of stochastic differential equations to structural reliability analysis. She is also involved in machine learning-based predictive modeling for sustainable construction materials. With multiple funded projects, her interdisciplinary approach bridges mathematics, civil engineering, and computational science. Her ongoing work in filtering theory and partial differential equations contributes to advancements in intelligent systems and smart infrastructure solutions.

Publication Top Notes📚

  • Stochastic simulation of episodic soft coastal cliff recession
  • A methodology to assess robustness of SCC mixtures
  • Using Bayesian networks to improve knowledge assessment
  • Comparative effects of bevacizumab, ranibizumab and pegaptanib at intravitreal dose range on endothelial cells
  • Sleep on the job partially compensates for sleep loss in night‐shift nurses
  • Estimation of the tensile strength of UHPFRC layers based on non-destructive assessment of fiber content and orientation
  • Design of self-compacting high-performance concrete: Study of mortar phase
  • Rheological characterization of SCC mortars and pastes with changes induced by cement delivery
  • Interaction diagrams to assess SCC mortars for different cement types
  • Robust SCC mixes through mix design
  • Queues with server vacations as a model for pre-timed signalized urban traffic
  • Exercise templates with Sage
  • Modeling and simulation of traffic movements at semi-actuated signalized intersections
  • Bayesian statistical methods for modeling and prediction of major landslides in coastal cliffs
  • Mathematics or mathematics for engineering?
  • Coastal cliff recession: development and application of prediction methods
  • Design of eco-efficient ultra-high-performance fiber-reinforced cement-based composite for rehabilitation applications
  • Interface evaluation of Portuguese and international news websites
  • Eco-efficient high-performance white concrete incorporating waste glass powder
  • ModelMaker, a multidisciplinary web application to build question generator models from basic to higher education

 

 

Necibe Fusun Oyman Serteller | Electric machines | Best Researcher Award

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Dr. Necibe Fusun Oyman Serteller | Electric machines | Best Researcher Award

Prof.Dr., Marmara University, Turkey

🔬 Prof. Dr. Necibe Fusun Oyman Serteller is a distinguished academic specializing in electrical and electronic engineering. She earned her undergraduate degree from Istanbul Technical University (ITU) in 1989, followed by postgraduate studies at ITU in 1996. She completed her Ph.D. at Marmara University in 2000. Since then, she has been a faculty member at Marmara University, actively contributing to research and education. Her work focuses on electric machines, numerical analysis, electromagnetic fields, and engineering education. She has authored over 15 SCI/SCIE-indexed journal papers, published three books, and is involved in multiple consultancy and industry projects. She serves on editorial boards of reputed journals and is a member of IEEE Magnetic Society and IEEE Education Society. With a deep commitment to academic excellence, she mentors Ph.D. and master’s students while collaborating on innovative research projects. Her contributions to electrical engineering bridge theory with real-world applications.

Profile

Education

🎓 Prof. Dr. Necibe Fusun Oyman Serteller completed her undergraduate studies in Electrical-Electronics Engineering at Istanbul Technical University (ITU) in 1989. She pursued her postgraduate degree at ITU, earning her master’s in 1996. In 2000, she obtained her Ph.D. in Electrical-Electronic Engineering from Marmara University. Her doctoral research focused on advanced control and modeling of electrical machines, combining numerical simulations with experimental validation. Throughout her academic journey, she developed a strong foundation in electromagnetic field theory, power electronics, and electric machine design. She has participated in specialized training programs and international workshops to enhance her expertise in cutting-edge electrical engineering technologies. Her education has equipped her with interdisciplinary knowledge, enabling her to contribute significantly to electric machine modeling, control systems, and numerical analysis. With a passion for research and teaching, she continues to advance the field of electrical engineering through groundbreaking studies and student mentorship.

Experience

📚 Prof. Dr. Necibe Fusun Oyman Serteller has over 24 years of academic and research experience in electrical engineering. She began her career at Marmara University in 2000, where she currently serves as a faculty member. Her experience spans teaching undergraduate and postgraduate courses, supervising Ph.D. and master’s students, and leading funded research projects. She has worked on seven completed research projects and is actively involved in two ongoing studies. Her expertise extends to consultancy, where she has provided industry solutions in electric machine design and control. As a prolific researcher, she has published over 15 SCI/SCIE journal papers and served on editorial boards of high-impact journals. She collaborates with national and international institutions to advance innovations in electrical systems. Beyond academia, she has contributed to engineering education by developing new curricula and modernizing laboratory infrastructure, ensuring practical and theoretical excellence for students.

Research Focus

⚡ Prof. Dr. Necibe Fusun Oyman Serteller’s research is centered on electric machines, numerical analysis, and electromagnetic field modeling. Her primary focus is on the design, analysis, and optimization of electrical machines using advanced computational techniques. She specializes in developing control algorithms for permanent magnet synchronous motors (PMSM), brushless direct current (BLDC) motors, and switched reluctance motors (SRM). Her work integrates simulation-based modeling with experimental validation to enhance motor efficiency and reliability. She is also actively involved in electromagnetic field theory research, applying finite element analysis to optimize electrical systems. Her contributions extend to engineering education, where she designs innovative teaching methodologies for numerical computation in electromagnetics. She collaborates with industry partners to develop next-generation electric machine solutions, including applications in renewable energy and electric vehicle propulsion. Her research has significantly impacted the field of electrical engineering, bridging academic advancements with industrial applications.

Publication

1️⃣ Dynamic behavior model of PMSM fed by PWM inverter and fuzzy logic control (IEMDC 2001)
2️⃣ Brushless direct current (BLDC) motor driving experimental set (Energy Science and Research, 2011)
3️⃣ Understanding switched reluctance motor analysis using ANSYS/Maxwell (ISIE 2020)
4️⃣ Comparative analysis of SRM, BLDC, and induction motor using ANSYS/Maxwell (ICECCO 2021)
5️⃣ A dynamic analysis of BLDC motor by using MATLAB/Simulink (CHILECON 2017)
6️⃣ Türkiye’de Nükleer Enerjinin Yeri ve Önemi (Turkey 10th Energy Congress, 2006)
7️⃣ Comprehensive design and optimization of BLDC motor (ICE 2021)
8️⃣ BLDC machine bipolar–unipolar driving circuit education study (Procedia, 2010)
9️⃣ LabVIEW FPGA-based BLDC motor control using field-oriented control (SEST 2020)
🔟 Outer-rotor BLDC motor design & axial-length investigation (Sustainability 2022)

 

 

Pengfei Wu | Concrete Creep | Best Researcher Award

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Dr. Pengfei Wu | Concrete Creep | Best Researcher Award

Dr, Dalian University of Technology, China

Dr. Pengfei Wu is a distinguished researcher specializing in Intelligent Health Monitoring, Concrete Creep, and Reliability Analysis. Currently affiliated with Dalian University of Technology, Dr. Wu has made groundbreaking contributions to structural engineering, including the development of the world’s first full-lifetime strain sensor and a fine-grained algorithm for concrete component creep. He has authored over 10 research papers and one book, with his work published in top-tier journals like Computer-Aided Civil and Infrastructure Engineering and Engineering Structures. His research has been recognized internationally, with one of his papers selected as a journal cover image. His innovative strain sensor technology and reliability analysis methods have vast applications in infrastructure safety and finite element calculations. Dr. Wu’s dedication to scientific advancement and commitment to improving structural engineering methodologies make him a notable figure in his field.

Profile

Google Scholar

Education

Dr. Pengfei Wu obtained his doctoral degree in Civil Engineering from the prestigious Dalian University of Technology. His academic journey has been deeply rooted in the study of structural health monitoring, material mechanics, and reliability assessment. During his Ph.D., he focused on the development of innovative strain detection technologies and creep analysis models, leading to numerous high-impact publications. His extensive research training allowed him to master finite element modeling, machine vision-based strain detection, and real-time structural assessment techniques. Apart from his doctoral research, Dr. Wu actively engaged in interdisciplinary studies, collaborating with experts in computational mechanics and advanced materials. His academic excellence is reflected in his multiple research projects and industry-focused applications, setting a strong foundation for his continued contributions to civil engineering. His educational background not only highlights his technical expertise but also his commitment to bridging theoretical knowledge with real-world applications.

Experience

Dr. Pengfei Wu has amassed extensive experience in structural engineering research and innovative technology development. He has successfully led and participated in five major research projects, focusing on structural reliability, concrete creep behavior, and intelligent health monitoring systems. His expertise has contributed to developing advanced strain sensors, which provide real-time monitoring solutions for infrastructure durability assessment. Dr. Wu has published extensively in SCI and Scopus-indexed journals, with a citation index of 58, demonstrating the academic impact of his work. His patented machine vision-based strain detection sensor showcases his ability to translate research into practical engineering applications. While his primary experience lies in academia, his work has significant implications for construction technology, infrastructure resilience, and smart monitoring systems. As an author, researcher, and innovator, Dr. Wu continues to push the boundaries of civil engineering advancements with a keen focus on sustainable and intelligent infrastructure development.

Research Focus 

Dr. Pengfei Wu’s research is primarily centered on Intelligent Health Monitoring, Concrete Creep, and Reliability Analysis. His pioneering work on the world’s first full-lifetime strain sensor has revolutionized the way infrastructure durability is assessed, enabling real-time data collection for structural safety monitoring. In the field of concrete creep analysis, Dr. Wu has introduced a fine-grained algorithm that enhances the accuracy of predictive models for long-term material behavior in civil structures. His research bridges the gap between material science, engineering mechanics, and smart sensor technology, leading to advanced methodologies for structural assessment and maintenance. Additionally, his studies on reliability analysis provide valuable insights into the performance and lifespan of deep-buried tunnels, bridges, and high-stress infrastructure. Through his cutting-edge research, Dr. Wu contributes significantly to sustainable construction, smart monitoring solutions, and the future of resilient infrastructure systems worldwide.

Publication Top Notes

📌 Vibration and damping analysis of sandwich electrorheological fluid deep arches with bi-directional FGM containers – Engineering Structures, 2023 (25 Citations)
📌 Reliability analysis and prediction on tunnel roof under blasting disturbance – KSCE Journal of Civil Engineering, 2019 (15 Citations)
📌 Reliability evaluation and prediction of deep buried tunnel based on similarity theory and model test – KSCE Journal of Civil Engineering, 2023 (9 Citations)
📌 Displacement sensing based on microscopic vision with high resolution and large measuring range – Computer-Aided Civil and Infrastructure Engineering, 2024
📌 Research on calculation method of suspension bridge internal force under random traffic load – KSCE Journal of Civil Engineering, 2023
📌 Nonlinear hygro-thermo analysis of fluid-conveying cylindrical nanoshells reinforced with carbon nanotubes based on NSGT – Waves in Random and Complex Media, 2022
📌 Smartphone-based high durable strain sensor with sub-pixel-level accuracy and adjustable camera position – Computer-Aided Civil and Infrastructure Engineering, 2024
📌 A simplified homogeneous approach for non-linear analysis of masonry infill panels under in-plane loads – Heliyon, 2024

 

 

Trusha Kared | Research Design and Development of RF microwave components like couplers, power divider, Active and passive RF mixer, LNAs etc | Best Researcher Award

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Ms. Trusha Kared | Research Design and Development of RF microwave components like couplers, power divider, Active and passive RF mixer, LNAs etc. | Best Researcher Award

RF Design Engineer/ PHD Student, Synergy Microwave Corporation/ Brandenburg University of Technology, United States.

Trusha Kared is an experienced RF/Microwave Design Engineer and PhD scholar at Brandenburg University of Technology, Germany. With over five years of expertise in designing RF microwave products like hybrid couplers, power dividers, and filters, Trusha has made significant contributions in RF engineering for commercial platforms. Her hands-on knowledge in high-frequency components, coupled with research on active RF mixers, LNAs, and amplifiers, sets her apart in the field. As an active member of IEEE, Trusha’s dedication to advancing RF technologies, coupled with her clear communication and leadership skills, has allowed her to thrive in both research and commercial engineering environments. Trusha’s work aims to optimize performance, drive innovation, and push the boundaries of RF/Microwave engineering.

Profile 🧑‍🔬

Google Scholar

Education 🎓

Trusha is currently pursuing a Dr.Ing in Electrical and Electronics Engineering at Brandenburg University of Technology, Cottbus, Germany (2021–2025). She holds a Master of Science in Electrical and Electronics Engineering from Fairleigh Dickinson University, NJ (2016-2018). Trusha completed her Bachelor of Engineering in Instrumentation and Control Engineering from Gujarat Technological University, India, in 2015. Her academic background, combined with her industry experience, allows her to bridge theory and practice in the RF/Microwave sector. Trusha’s educational journey reflects her deep commitment to enhancing her technical expertise and understanding, driving forward innovation in the field of RF design and analysis.

Experience 🛠️

Trusha’s professional career includes a role as an RF/Microwave Design Engineer at Synergy Microwave Corporation since 2018. She designs high-power components and RF circuits for ultra-wideband systems, working on designs up to 18 GHz using tools like ADS and Ansys HFSS. Trusha has been instrumental in developing multi-section couplers, baluns, and impedance matching circuitry. Her early experience as an engineering intern provided hands-on exposure to RF product testing, troubleshooting, and failure analysis. Additionally, as a Graduate Research Assistant at Fairleigh Dickinson University, she developed code for Differential Pulse Code Modulation (DPCM), demonstrating her strong foundation in both theory and practical RF solutions.

Awards and Honors 🏆

Trusha Kared has earned accolades for her significant contributions to RF/Microwave engineering and research. Her research paper, “Design of a Fixed IF Down-Conversion Double-Balanced Mixer for UHF Band Applications,” has been widely cited, highlighting her valuable contributions to the field. Additionally, Trusha has excelled in high-pressure environments, maintaining a passing rate of over 95% in various design and testing projects. As a member of the IEEE, she has been recognized for her technical acumen and commitment to the advancement of engineering principles. Her research and technical proposals have been instrumental in solving complex engineering problems, making her a well-respected figure in the RF design community.

Research Focus 🔬

Trusha’s primary research focus is on the design and development of RF/Microwave components, including active mixers, power dividers, hybrid couplers, LNAs, and filters. She works on enhancing the performance of ultra-wideband RF circuits, with a particular interest in improving signal integrity and bandwidth in high-power applications. Her work also explores the characterization and modeling of active devices such as GaAs, GaN, and SiGe RFICs, focusing on optimizing efficiency and reducing signal loss. Trusha is committed to advancing RF systems for commercial and telecommunication applications, working to overcome the technical challenges of next-generation RF/Microwave design. Her research integrates cutting-edge tools and methodologies, from circuit simulators to performance analysis, to ensure her solutions meet industry demands.

Publications 📚

  • Design of a Fixed IF Down-Conversion Double-Balanced Mixer for UHF Band Applications – Sensors 25 (3), 608, 2025