Raghavendran Prabakaran | Mathematics | Young Scientist Award

Published on by Citation Awards

Raghavendran Prabakaran | Mathematics | Young Scientist Award

 Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology|India

Dr. Prabakaran Raghavendran is a dynamic researcher in Mathematics, specializing in fractional differential equations, control theory, and their applications in artificial intelligence and cryptography. Currently pursuing a Ph.D. at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, he has already made significant contributions with over 60 publications, 12 patents, and several interdisciplinary collaborations. His work integrates deep mathematical theory with practical AI applications, evident from his internships at Symbiosis International University focusing on BCI-based cognitive enhancement and AI in energy forecasting. With a strong publication track in top-tier journals (Q1, WoS, Scopus), he is recognized for his novel mathematical transforms like the R-, A-, P-, and V-Transforms. His research impacts span cybersecurity, healthcare, robotics, and neuroscience. Dr. Raghavendran’s academic excellence, innovative research, and commitment to interdisciplinary advancement mark him as a rising leader in applied mathematics and AI-integrated systems.

Publication Profile

Google scholar

Education

Dr. Prabakaran Raghavendran’s academic journey reflects consistent excellence. He is currently pursuing a Ph.D. in Mathematics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, with a dissertation on fractional integro-differential systems applied in AI and cryptography (synopsis submitted in July 2025). He earned his M.Sc. in Mathematics (2022) from the same university with a remarkable CGPA . He completed his undergraduate B.Sc. in Mathematics from Loyola College, Chennai.. His foundational schooling at Velammal Matric Hr. Sec. School resulted in outstanding scores . Throughout his academic tenure, Dr. Raghavendran has shown a strong inclination toward advanced mathematics and computational applications, preparing him for an impactful research career in emerging scientific areas that bridge pure mathematics and modern technology.

Experience

Dr. Raghavendran has gained valuable research experience through prestigious internships and active collaborations. He served as a Project Intern at the Symbiosis Institute of Digital and Telecom Management under two separate projects. From December 2024 to March 2025, he worked on AI applications in energy forecasting and neuroscience, contributing to funded research supported by DSIR. From April 2025 to April 2026, he took part in a project focused on BCI-based cognitive development using AI, involving model development, data collection, and co-authoring research papers. These internships involved interdisciplinary teamwork, technical presentations, and publication development. Beyond internships, he maintains active collaboration with global researchers, including Prof. Dumitru Baleanu and several Indian and international scholars. His experience includes not only research publication but also innovation, evidenced by his 12 Indian patents in transformative mathematics and signal processing applications. His work spans education, signal processing, cryptography, and AI-integrated systems.

Honors and Awards

Dr. Prabakaran Raghavendran has garnered several honors reflecting his academic and research excellence. Notably, he has published 12 patents across diverse innovations such as the P-, A-, Y-, S-, and V-Transforms, aimed at revolutionizing signal processing, cryptography, and intelligent robotics. His research has been recognized through full APC support during internships at Symbiosis International University and collaborative efforts with global researchers. His impressive research metrics include 219 citations (Google Scholar), h-index 9, and 355+ RG Score, showcasing his growing influence in applied mathematics and AI. He also contributed to Springer and IGI Global publications, indicating international academic recognition. He was selected for DSIR-funded research internships and is a consistent contributor to Q1/SCIE-indexed journals. These achievements mark him as an emerging thought leader in mathematical modeling, AI-based forecasting, neural networks, and fractional calculus with real-world applications.

Research Focus

Dr. Raghavendran’s research focus lies at the intersection of Fractional Differential Equations, Control Theory, Integral Transforms, and Artificial Intelligence, particularly with applications in Cryptography, Neuroscience, and Signal Processing. His doctoral work explores Impulsive Neutral Fractional Volterra-Fredholm Integro-Differential Systems with state-dependent delay and its controllability, stability, and existence analysis, incorporating AI tools. He has developed novel mathematical tools like the R-, A-, V-, P-, S-, H-, Y-, and K-Transforms to solve complex integro-differential equations and enhance cryptographic security and robotics applications. His interests also span Artificial Neural Networks, Fuzzy Analysis, Cryptocurrency forecasting, and AI-based healthcare diagnostics. His interdisciplinary approach blends theory and computational applications, evident from publications in domains such as chemical process modeling, railway safety systems, energy forecasting, and disease prognosis. Dr. Raghavendran’s aim is to develop robust mathematical methodologies to solve real-world problems in intelligent systems, making mathematics more adaptive, applicable, and forward-thinking.

Publications

  • Neural Network Framework for Controllability of Fractional Volterra Fredholm Equations

  •  AI-Driven Controllability of Impulsive Fractional Systems with Delay

  •  Predictive Modelling of Chemical Processes with Machine Learning Synergy

  •  Solving Fractional Differential Equations with Ramadan Group Transform & ML

  •  Existence and Stability of Fractional Volterra-Fredholm Systems with Delay

  •  Stability of Volterra-Fredholm Equations with Delay using New Techniques

Victor Orlov | Mathematics | Best Research Article Award

Published on by Citation Awards

Victor Orlov | Mathematics | Best Research Article Award

 Moscow State University of Civil Engineering | Russia

Professor Orlov Viktor Nikolaevich is a distinguished mathematician with over five decades of academic and research experience. He began his career after graduating in Mathematics from Chuvash State University in 1973. Over the years, he earned advanced degrees including a Ph.D. in Physical and Mathematical Sciences (1989) and a Doctor of Sciences in Mathematical Modeling (2011). His academic journey has seen him hold prominent positions at institutions like Cheboksary State Agricultural Academy, Russian State Social University, and Kazan Federal University. Currently, he serves as a professor at the Department of Higher Mathematics. An expert in mathematical modeling and nonlinear differential equations, Prof. Orlov has authored over 260 publications, including monographs, textbooks, patents, and articles indexed in WoS and Scopus. He also serves as an editorial board member and reviewer for multiple international journals. His dedication to mathematics has significantly shaped the Russian and international scientific communities.

Publication Profile

Orcid

Education

Orlov Viktor Nikolaevich began his academic journey at Chuvash State University, where he completed his undergraduate degree in Mathematics in 1973. He then pursued postgraduate studies at the Herzen Leningrad State Pedagogical Institute, completing them in 1982. In 1989, he successfully defended his Candidate of Sciences (Ph.D.) dissertation in Differential Equations at Belarusian State University (BSU), Minsk. This was followed by the conferment of the Associate Professor title in 1992. Driven by a desire for further specialization, he enrolled in the doctoral program at Moscow State University for the Humanities in 2009. In April 2011, he earned the prestigious Doctor of Physical and Mathematical Sciences degree in the field of Mathematical Modeling, Numerical Methods, and Software Packages, with his dissertation focusing on nonlinear differential equations with moving singularities. His education forms the foundation of his longstanding scientific excellence and teaching acumen.

Experience

Professor Orlov’s rich professional journey spans over 52 years in academia. From 2003–2006, he served as Head of the Department of Computer Science and Computer Engineering at Cheboksary State Agricultural Academy. From 2007–2011, he led the Department of Mathematics, Computer Science, and Modeling at the Russian State Social University (Cheboksary branch). In 2012, he became Head of the Department of Algebra and Geometry at I. Ya. Yakovlev Cheboksary State Pedagogical University. From 2015, he headed the Department of Mathematics and Methods of Teaching Mathematics at Kazan Federal University’s Yalta branch. Between 2017–2021, he worked at Moscow State University of Civil Engineering, where he continues today as Professor in the Department of Higher Mathematics. His leadership extended to education quality control as an expert for Rosobrnadzor from 2015 to 2018. Prof. Orlov has played key roles in enhancing mathematical education and research infrastructure in Russia.

Honors and Awards

Professor Orlov has been consistently recognized for his outstanding contributions to science and education. He has received 5 patents for inventions and 9 certificates for algorithms and software programs, showcasing his commitment to applied research. He received three competitive research grants from the National Research University Moscow State University of Civil Engineering in 2022, all completed ahead of schedule. In 2023, he led another successful grant project. He is a highly sought-after academic editor and reviewer, contributing to over 90 reviews for MDPI journals such as Mathematics (Q1) and Axioms (Q2), and serves on the editorial boards of multiple journals including Bulletin of ChSPU and Brest State Technical University. He was the Editor-in-Chief of Axioms special issues in 2022 and 2023. His impact is evidenced by his Russian Hirsch index of 18 and foreign index of 9, marking him as a respected figure in global academia.

Research Focus

Professor Orlov’s research expertise lies at the intersection of analytical theory of differential equations, fractional calculus, and computational mathematics. His landmark work revolves around the mathematical modeling of nonlinear differential equations with moving singularities, which was the basis of his doctoral dissertation. He has advanced the theory and applications of differential equations with fractional derivatives, a critical area in modeling complex physical and engineering systems. His contributions also span numerical methods, scientific software development, and simulation of dynamic systems. With over 260 publications, including 223 scientific articles, 39 educational works, 4 monographs, and multiple patents, his research addresses both theoretical advancements and real-world applications. He actively engages in interdisciplinary research, often collaborating across physics, engineering, and computer science. Prof. Orlov’s work not only enhances theoretical understanding but also contributes practical solutions, particularly in the fields of mechanical systems and deformable body mechanics.

Publications

  •  Development of a Mathematical Modeling Method for Nonlinear Differential Equations with Moving Singularities

  • Analytical Approach to Differential Equations with Fractional Derivatives

  • Computational Algorithms for Solving Boundary Value Problems in Mechanics

  • Numerical Simulation of Complex Dynamic Systems in Engineering

  • Mathematical Modeling of Physical Systems with Variable Parameters

  •  On the Convergence of Numerical Methods in Differential Equations

  •  Modeling of Heat Transfer Using Fractional Calculus

  • Nonlinear Oscillations in Mechanical Structures: A Simulation Study

  • Software Packages for Analytical Solutions of Nonlinear Equations

Luisa Morales Maure | Mathematics | Innovative Research Award

Published on by Citation Awards

Luisa Morales Maure | Mathematics | Innovative Research Award

Universidad de Panama|Panama

Dr. Luisa Mabel Morales Maure is a renowned Panamanian mathematics educator and researcher with a strong international footprint in educational innovation, curriculum development, and pedagogical strategies. Holding a Ph.D. in Didactics of Mathematics and Experimental Sciences from the Universitat de Barcelona (Cum Laude), she has led national and international initiatives to improve mathematics education, teacher training, and policy impact. Currently a key member of Panama’s National Research System (SNI) and Director of Admissions at APANAC, she has collaborated extensively with academic and scientific bodies across Europe and Latin America. She is also the founder and coordinator of GIEM-21, a mathematics education research group. A frequent speaker and published scholar, her work bridges scientific research with societal challenges in education. Her dedication was recognized in 2024 with the honorary title Cavaliere dell’Ordine della Stella d’Italia, conferred by the President of Italy. She exemplifies the fusion of academic excellence and social commitment.

Publication Profile

Google scholar

Education

Dr. Morales Maure has a robust academic background in mathematics and pedagogy. She earned her Ph.D. in Didactics of Mathematics and Experimental Sciences from Universitat de Barcelona, receiving Cum Laude honors. Prior to that, she obtained a Master of Science in Mathematics and its Didactics from Universidad Autónoma del Estado de Hidalgo, Mexico.  she completed postgraduate studies in Higher Education Teaching at the Universidad de Panamá, and holds a Bachelor’s degree in Mathematics from the same institution. Her international academic scope expanded with the completion of the International Diploma in Women and Leadership from IESE Business School in Barcelona, Spain. This diverse and interdisciplinary training has empowered her to lead cross-national research collaborations and develop effective, inclusive educational methodologies that improve teaching practices and student outcomes across multiple educational levels in Latin America and beyond.

Experience

Dr. Morales Maure brings over two decades of academic and professional experience in mathematics education, research, and teacher training. she has been a recognized researcher within Panama’s National Research System (SNI), leading several funded educational innovation projects. She currently serves as Director of Admissions for the Panamanian Association for the Advancement of Science (APANAC) and previously presided over its XIX National Science and Technology Congress. She founded and coordinates the GIEM-21 research group at Universidad de Panamá. Dr. Morales has participated in prestigious international exchanges in Italy and worked on collaborative research in Chile and Spain. Her academic roles include lecturer across diverse faculties including Economics, Medicine, Informatics, and Education. She is also a recognized trainer and speaker, conducting teacher development programs and seminars on mathematical thinking, digital pedagogy, and didactic suitability. Her experience reflects a deep commitment to evidence-based reforms and sustainable education policy advancements.

Honors and Awards

Dr. Luisa Mabel Morales Maure has received multiple awards in recognition of her significant contributions to mathematics education. Most notably. she was conferred the prestigious title Cavaliere dell’Ordine della Stella d’Italia by the President of the Italian Republic, honoring her international impact on education. she earned Panama’s New Researchers Award from SENACYT, acknowledging her early promise in educational research. Her projects funded by institutions such as SENACYT, ANID Chile, and the Ministry of Education of Spain have consistently been recognized for innovation and policy impact. She has also been selected multiple times for Panama’s National Research System (SNI), reaching Level I for consecutive terms. Her leadership roles in APANAC and organization of national science congresses further solidify her standing in the scientific community. Through her academic excellence and dedication, she has become a driving force for educational reform in Latin America.

Research Focus

Dr. Morales Maure’s research focuses on mathematics education, didactical analysis, and teacher training methodologies. She specializes in the use of mathematical modeling, lesson study, and didactic suitability frameworks to improve teaching practices and student learning outcomes. Her work integrates data analysis, program evaluation, and curriculum innovation, aiming to align pedagogy with equity, inclusion, and sustainable development goals. She has contributed extensively to the design and evaluation of diploma programs, teacher reflection tools, and hybrid learning methodologies in Latin America. Her research also involves bibliometric studies on technological integration in education and meta-analyses of quality indicators in mathematics teaching. Actively collaborating with international researchers from Spain, Chile, and Brazil, Dr. Morales Maure’s studies are widely published in indexed journals and policy-related platforms. Her mission is to bridge theory with practice to shape inclusive, culturally responsive, and future-ready mathematics education systems.

Publications

Fortalecimiento del conocimiento didáctico matemático en maestros de primaria en Panamá – Formación Universitaria.
Evaluating didactic strategies for teaching mathematics: A Policy-Driven approach to gender equity in Panama’s education system – Journal of Infrastructure, Policy and Development.
School dropout, lag and repetition: strategies for inclusive and sustainable education in the framework of public policies – Edelweiss Applied Science and Technology.
Tendencias en la Investigación sobre Conocimiento Didáctico y Tecnología en la Educación Matemática: Un Estudio Bibliométrico – REDIMAT.
XIX Congreso de la Asociación Panameña para el Avance de la Ciencia (APANAC): Panamá Hub de las Ciencias – HALAC.

András Roósz | Materials Science | Best Researcher Award

Published on by Citation Awards

András Roósz | Materials Science | Best Researcher Award

 Miskolc University |Hungary

Prof. Dr. András Roósz is a renowned Hungarian materials scientist and a distinguished member of the Hungarian Academy of Sciences (HAS). With a prolific career in physical metallurgy, he has significantly advanced the study of solidification in Al-alloys under terrestrial and space conditions. A professor at the University of Miskolc (MU), he collaborates with both domestic and international institutions, including the Max Planck Institute and the universities of Darmstadt, Cambridge, and Nagaoka. He has supervised 16 PhD students and delivered over 300 scientific lectures. Roósz’s contributions to quantitative metallography, simulation of phase transformations, and phase diagram modeling using ESTPHAD are globally recognized. He has organized eight “Solidification and Gravity” international conferences and authored or edited over 370 publications. His research has attracted around 1500 citations, and he holds a Hirsch index of 20. Prof. Roósz is also a decorated scientist with 15 prestigious Hungarian honors, including the Széchenyi Prize.

Publication Profile

google scholar

Education

Prof. Roósz received comprehensive training in physical metallurgy, solidification, phase transformation, quantitative metallography, and heat treatment. His academic background includes BSc, MSc, and PhD studies in materials science, all completed in Hungary. He has since become an integral part of Hungarian higher education, contributing to undergraduate and postgraduate teaching at the University of Miskolc. His role in PhD education is substantial, having supervised 12 Hungarian and 4 German doctoral candidates. He integrates state-of-the-art computational and experimental techniques into academic curricula, ensuring students gain robust theoretical and hands-on experience. As a visiting scholar, he enhanced his academic insight through residencies at leading institutions such as the University of Cambridge (UK) and Nagaoka University (Japan). His deep knowledge base in solidification and thermodynamics makes him a leading educator and mentor in physical metallurgy, shaping the next generation of materials scientists in Hungary and abroad.

Experience

Prof. Dr. Roósz has dedicated much of his professional career to the Physical Metallurgy Department of Miskolc University, where he is also part of the Joint Materials Science Research Group (MU + HAS). His international collaborations are extensive, including annual research visits  to the Max Planck Institute in Stuttgart and Darmstadt University. As a visiting researcher, he also conducted research at Cambridge University and Nagaoka University. He has made significant contributions to metallurgy education by lecturing extensively and supervising doctoral research. Roósz is also a key organizer and chair of international conferences, including eight Solidification and Gravity (SG) events. His expertise spans simulation methods (CA+VD), melt stirring, and phase diagram modeling (ESTPHAD). Beyond research and teaching, he plays an influential role in the academic community through editorial work, conference leadership, and curriculum development in Hungary’s metallurgical education system.

Honors and Awards

Prof. Roósz has been recognized with 15 prestigious awards for his exceptional scientific and academic contributions. Chief among them is the Széchenyi Prize, Hungary’s highest scientific honor, awarded for groundbreaking research and national impact in physical metallurgy. His accolades reflect a lifetime of commitment to materials science, particularly in solidification phenomena and advanced metallurgical processes. These honors highlight his leadership in both national and international scientific communities, including his instrumental role in organizing and chairing the Solidification and Gravity International Conferences. Additionally, his awards acknowledge his mentorship of PhD students, contributions to scientific publishing, and active participation in Hungarian and European research initiatives. His membership in the Hungarian Academy of Sciences further attests to his elite standing within the scientific community. Roósz’s decorated career is not only a testament to his research excellence but also his unwavering dedication to scientific progress and academic service.

Research Focus

Prof. Roósz’s research focuses on solidification phenomena, particularly the behavior of Al-alloys under microgravity and magnetic stirring conditions. His work has provided crucial insights into how melt flow and gravity affect microstructural formation during solidification. He employs advanced computational models, including the Cellular Automaton + Vector Displacement (CA+VD) method for simulating solid-state phase transformations. His contributions to quantitative metallography and heat treatment analysis have set new standards in materials characterization. Roósz is also recognized for developing and applying the ESTPHAD method to calculate complex phase diagrams, offering a robust thermodynamic approach to multicomponent alloy systems. By integrating theoretical simulations with experimental investigations in both ground-based and space environments, his research supports innovations in materials design and manufacturing. His international collaborations have further expanded the scope and relevance of his findings, positioning him as a global authority in solidification science and physical metallurgy.

Publications

Effect of Microgravity and Magnetic Steering on the Melt Flow and the Microstructure of Solidified Alloys, Kolkata, India: BP International

Physical Metallurgy (in Hungarian)

Editor of 8 volumes of Solidification and Gravity (SG) International Conference Proceedings

Authored over 371 scientific papers in leading international journals, books, and conference proceedings

Nesrine Gafsi | Econometrics and Finance | Best Researcher Award

Published on by Citation Awards

Nesrine Gafsi | Econometrics and Finance | Best Researcher Award

Dr. Nesrine Gafsi, Imam Mohammad Ibn Saud Islamic University, IMSIU, Riyadh, Saudi Arabia.

Dr. Nesrine Gafsi, , Tunisia, is a distinguished academic and finance professional with extensive teaching and research experience in Tunisia and Saudi Arabia. She holds a PhD in Finance and specializes in business education, risk management, and sustainable development. A certified PMP, she blends theoretical knowledge with practical financial strategy and pedagogical expertise. Dr. Gafsi has contributed significantly to academia through her teaching at prestigious institutions including Al Imam Mohammad Ibn Saud Islamic University and Shaqra University. Beyond the classroom, she is active in research, scientific committees, and international conferences. Multilingual and tech-savvy, she also has a passion for the arts, particularly oil and acrylic painting. Her recent publications focus on green finance, digitalization, and sustainable economic development, establishing her as a thought leader in finance and environmental economics. She currently resides between Tunisia and Saudi Arabia and continues to influence the academic and business landscape globally.

Publication Profile

orcid

Education

Dr. Nesrine Gafsi holds a PhD in Finance from the Faculty of Economics and Management of Sfax (FSEG SFAX), Tunisia (2018). She completed her Master’s degree in Finance, Insurance, and Risk Management from UMLT in 2013, and earned a Bachelor’s degree in Finance from IHEC Carthage in 2011. Her academic background is complemented by internationally recognized certifications, including the Project Management Professional (PMP) from the Project Management Institute in 2024. She has also completed several pedagogical and technical training programs such as a seminar on University Pedagogy at FSEG Sfax (2017) and a LaTeX training for doctoral students (2015). Dr. Gafsi is proficient in several analytical and educational tools including SPSS, SAS, Moodle, Zoom, and Google Suite. Her education and ongoing learning reflect a deep commitment to academic excellence, modern teaching methodologies, and applied research in finance and sustainable development.

Experience

Dr. Nesrine Gafsi brings over a decade of teaching experience in finance and business courses across Tunisia and Saudi Arabia. Since 2022, she has been teaching at Al Imam Mohammad Ibn Saud Islamic University, where she specializes in finance and e-learning. She previously served at the University of Sousse (2021–2022) and Shaqra University (2018–2021), where she supervised over 30 students and took on roles related to student activities. Earlier, she taught at University of Gafsa and the Private Mediterranean Faculty of Sciences, delivering core finance courses and supervising graduate students. In 2014, she worked on a strategic capital management project at Cartagena Clinic. Her teaching integrates both in-person and online platforms, showcasing her adaptability in hybrid learning environments. She has also contributed to curriculum development and academic event coordination. Dr. Gafsi is recognized for her dynamic teaching style, student mentorship, and cross-border academic collaboration.

Honors and Awards

Dr. Nesrine Gafsi has been recognized for her academic and professional contributions in finance and sustainable development. Although she hasn’t listed formal individual awards, her active participation in international symposia and scientific committees underlines her esteemed standing in academic circles. She has served on the steering and scientific committees of several high-profile conferences, including the AFRO E-CO symposium, the Blue Economy for Sustainable Development in Algeria (2021), and the CSR International Symposium in Tunisia (2018). Additionally, she was invited as a speaker at the Musrata International Forum and Exhibition for Free Zones in Libya (2022). Her role in these global forums is a testament to her academic influence, leadership, and recognition as a regional expert in financial policy, digitalization, and sustainability. Her PMP certification (2024) further highlights her commitment to professional excellence and project leadership within academic and economic sectors.

Research Focus

Dr. Nesrine Gafsi’s research is centered on the intersection of finance, sustainability, risk management, and digital transformation. Her scholarly work focuses on pressing global issues such as green growth, credit risk analysis using machine learning, and CO2 emissions linked to agricultural and financial sectors. She explores the nexus between economic development and environmental sustainability, particularly within the context of the G7 and East Asia-Pacific regions. Her research often integrates modern analytical methods and econometric models to examine the effects of renewable energy, financial development, and international trade. Dr. Gafsi has contributed significantly to the understanding of how Islamic and conventional banking systems manage credit risk, and how digitalization can support sustainable development in African and North African countries. Her work has appeared in internationally indexed journals like JRFM (MDPI) and the International Journal of Energy Economics and Policy, reinforcing her status as a thought leader in her field.

Publications

  • 📘 Machine Learning Approaches to Credit Risk: Comparative Evidence from Participation and Conventional Banks in the UK – JRFM MDPI, June 2025

  • 📗 Unlocking the Green Growth Puzzle: Exploring the Nexus of Renewable Energy, CO2 Emissions, and Economic Prosperity in G7 Countries – International Journal of Energy Economics and Policy, February 2025

  • 📙 Impacts of Agricultural CO2 Emissions, Agricultural Exports and Financial Development on Economic Growth: Insights from East Asia and Pacific Countries – International Journal of Energy Economics and Policy, November 2024

Qinghua Wei | Engineering | Best Research Article Award

Published on by Citation Awards

Qinghua Wei | Engineering | Best Research Article Award

Dr. Qinghua Wei, Northwestern Polytechnical University, China

Dr. Qinghua Wei is a Doctor of Engineering, esteemed researcher, and doctoral supervisor at Northwestern Polytechnical University. Recognized under the “Aerospace New Star” talent program, he has led numerous national-level research initiatives in materials science and biomedical engineering. His work bridges advanced composite material modification and 3D bioprinting technology, resulting in over 80 high-impact publications and two academic monographs. With a strong interdisciplinary approach, Dr. Wei has contributed significantly to the design of innovative hydrogels and bioceramics. His academic influence is globally acknowledged, with over 1,600 SCI citations and inclusion in Stanford University’s Top 2% Scientists list. He has also secured 23 national patents and 10 software copyrights, with multiple technologies already industrially transformed. Through his scientific rigor, mentorship, and contributions to frontier technologies, Dr. Wei continues to shape the future of biomedical manufacturing and material engineering on both national and international fronts.

Publication Profile

orcid

Education

Dr. Qinghua Wei earned his Doctor of Engineering degree with a specialization in advanced composite materials and biomedical additive manufacturing. His academic training emphasized the convergence of materials science, fluid mechanics, and biomedical engineering, equipping him with a solid theoretical foundation and practical skills. During his doctoral studies, he focused on multi-scale structural optimization and material performance in extreme environments. He later expanded his research toward developing bioinks, hydrogels, and biofabrication technologies. His educational journey included rigorous training in scientific experimentation, simulation modeling, and high-precision equipment development. Actively involved in collaborative academic networks, he also pursued cross-disciplinary research projects and international conferences during his academic years. These experiences laid the groundwork for his leadership in complex research programs and his current role in supervising doctoral students at Northwestern Polytechnical University. His educational background is central to his continued innovation in the integration of engineering materials and biological systems.

Experience

Dr. Qinghua Wei serves as a faculty researcher and doctoral supervisor at Northwestern Polytechnical University. Over the years, he has led and participated in more than 10 high-profile scientific research projects, including those funded by the National Natural Science Foundation of China and national-level Key R&D Programs. His expertise lies in the design, simulation, and additive manufacturing of composite materials, especially for biomedical applications. He has developed advanced hydrogel printing processes, biofabrication systems, and multifunctional biomaterials. As a senior researcher, Dr. Wei has mentored PhD candidates and postgraduate researchers, building a strong academic team focused on interdisciplinary innovation. His professional work combines simulation modeling, experimental verification, and translational research, turning academic findings into real-world technologies. He has actively contributed to collaborative industry-academia partnerships and technology transformation efforts. With multiple accolades and patents, Dr. Wei remains at the forefront of advanced material science and engineering applications in China.

Honors and Awards

Dr. Qinghua Wei has received numerous prestigious awards in recognition of his scientific contributions. He was honored with the First Prize of the National Technology Invention Award in 2019, reflecting the national importance of his research. Additionally, he won the Second Prize of the Shaanxi Provincial Natural Science Award in 2024, and the First Prize of the Shaanxi Provincial University Science and Technology Award in 2024, 2020, and 2016. He has been selected as part of the “Aerospace New Star” talent program by Northwestern Polytechnical University, affirming his potential in scientific leadership. His international recognition includes being listed among the Top 2% Scientists in the World by Stanford University, based on citation metrics and research impact. Furthermore, he has secured 23 national invention patents, with 9 technologies already commercialized, and has registered 10 software copyrights. His achievements have also been appraised by the International Association for Science and Technology Promotion of China.

Research Focus

Dr. Qinghua Wei’s research focuses on the multi-scale modification design of composite materials and the development of advanced biological additive manufacturing (bio-AM) technologies. He is particularly known for his innovations in 3D bioprinting, including hydrogel design, bioink optimization, and soft tissue engineering applications. His work explores the interrelation between material properties and process parameters using simulation modeling and numerical optimization. He has designed and fabricated biofabrication systems with high precision for extrusion-based bioprinting, supporting cell viability and mechanical integrity. In materials science, Dr. Wei explores PVA, cellulose nanofibers, hydroxyapatite, and sodium alginate-based composites to enhance strength, conductivity, and biocompatibility. His research outcomes contribute to various biomedical engineering applications, including artificial skin, bone scaffolds, and biosensors. By integrating materials engineering with fluid dynamics and biomedical needs, he strives to create novel, functional materials and manufacturing systems that solve real-world healthcare challenges and push the boundaries of biomedical innovation.

Publications

  1. 📄 A triple-network PVA/cellulose nanofiber composite hydrogel with excellent strength, transparency, conductivity, and antibacterial properties

  2. 🧪 Optimal design of multi-biomaterials mixed extrusion nozzle for 3D bioprinting considering cell activity

  3. 🖨️ Optimization of hydrogel extrusion printing process parameters based on numerical simulation

  4. 🧬 Three-dimensional bioprinting of tissue-engineered skin: Biomaterials, fabrication techniques, challenging difficulties, and future directions

  5. 🧱 Influence of particle size distribution on hydroxyapatite slurry and scaffold properties fabricated using digital light processing

  6. 🧫 Modification, 3D printing process and application of sodium alginate based hydrogels in soft tissue engineering

  7. 🦴 Modification of hydroxyapatite powder by carboxymethyl chitosan for 3D printing bioceramic bone scaffolds

  8. ⚙️ Micromechanical modeling and numerical homogenization calculation of effective stiffness of 3D printing PLA/CF composites

  9. 📶 3D printable, stretchable, anti-freezing and rapid self-healing organogel-based sensors for human motion detection

  10. 🌐 3D printable, anti-freezing, and rapid self-healing violet phosphorene incorporated hydrogel-based sensors for human motion detection

Constantinos Koutsojannis | Neuroscience | Best Researcher Award

Published on by Citation Awards

Constantinos Koutsojannis | Neuroscience | Best Researcher Award

Prof. Dr Constantinos Koutsojannis, Health Physics & Computational Intelligence Lab, School of rehabilitation Sciences University of Patras, Greece

Dr. Constantinos Koutsojannis is an Associate Professor of Medical Physics at the University of Patras, Greece, affiliated with the Physiotherapy Department, and involved in teaching and research across the Medical and Computer Engineering Departments. He directs the Health-Physics and Computational Intelligence Lab, focusing on digital health, informatics, and medical technology training. With over 70 published works and more than 1000 citations, his research spans intelligent medical systems, health physics, and biosignal analysis. Dr. Koutsojannis has played key roles in several European research and training programs such as Erasmus+ and Pythagoras II. He is also an advisor to the Artificial Intelligence Working Group and Project Committee member at EFOMP. Recognized for his interdisciplinary expertise, he has received awards for scientific contributions and actively participates in national and international conferences and publications. His leadership in health professional training and medical technology projects has significantly influenced healthcare education in Greece and Europe.

Publication Profile

orcid

Education

Dr. Constantinos Koutsojannis holds a Bachelor’s Degree in Physics from the University of Patras, completed in 1987. He pursued his doctoral studies in Medical Physics, earning a Ph.D. from the School of Medicine, Faculty of Health Sciences, at the University of Patras in 1994. This solid academic foundation allowed him to bridge disciplines between physics, medical sciences, and informatics. His academic development is rooted in a strong theoretical background in natural sciences, enhanced by a deep understanding of human health and clinical applications of medical physics. His PhD thesis and subsequent research have contributed substantially to the evolution of non-ionizing radiation studies, bioelectromagnetics, and intelligent health systems. The combination of rigorous physics training and medical education positioned him for a highly interdisciplinary research and teaching career, uniquely equipping him for leadership roles in applied medical technologies, digital transformation in healthcare, and training professionals in emerging biomedical disciplines.

Experience

Dr. Koutsojannis began his professional journey with a clinical license in Medical Physics (1995) and accumulated 9 years of clinical experience in diagnostic centers and clinics in Greece. He also directed training for 5 years at VET “Daphne,” delivering vocational education in healthcare technologies. Academically, he lectured in Nursing and Physiotherapy at TEI of Patras (1996–2008), and from 2008 served as Assistant Professor, eventually becoming Associate Professor at the University of Patras. His teaching portfolio includes undergraduate and postgraduate programs across institutions such as the University of Athens, Panteion University, and the University of Ioannina. He leads the Health-Physics and Computational Intelligence Lab, spearheading projects in health informatics and AI in medicine. His experience also extends to consulting roles, such as with EFOMP’s Artificial Intelligence Working Group. He has participated in major EU-funded projects, delivering expert insight on medical education, intelligent systems, and digital transformation in healthcare.

Honors and Awards

Dr. Constantinos Koutsojannis has been the recipient of multiple academic honors, including six bursaries for his postgraduate and doctoral studies, recognizing his academic excellence and research contributions. He has also received an international award for Best Free Paper Presentation, demonstrating the scientific impact of his research in global academic circles. As a reviewer for leading international scientific journals and a member of several scientific committees and roundtables, he contributes to maintaining academic rigor and advancing knowledge in the field of medical physics and health technology. His leadership in EU-funded research and training programs—such as Erasmus+, Pythagoras II, and Archimedes III—has earned him recognition across Europe. Through his contributions to symposiums and workshops, Dr. Koutsojannis has played an instrumental role in fostering innovation and collaboration in medical education and computational health systems. His dedication continues to be acknowledged in both national and international academic forums.

Research Focus

Dr. Koutsojannis’s research revolves around Medical Physics, Health Physics, and intelligent systems in healthcare. His work particularly emphasizes non-ionizing radiation protection, biosignal analysis, and the design of smart medical and e-health systems. He has made substantial contributions to bioelectromagnetics, computational intelligence in medicine, and electrophysiology-based diagnostics. His interdisciplinary focus integrates medical science with computer engineering, reflecting a dedication to advancing health technology for improved clinical outcomes and professional training. Through the Health-Physics and Computational Intelligence Lab, he leads applied research in digital health skills, e-learning systems for healthcare workers, and smart algorithms for physiological data analysis. His participation in numerous European and national projects underscores his commitment to technological innovation in healthcare education. He is also engaged in AI-driven healthcare safety, working on frameworks to implement AI ethically and effectively within clinical and educational environments, ensuring safe and data-driven decision-making in healthcare systems.

Publications

  • 📄 Design and Implementation of a Smart e-Health Monitoring System Using Wearable Devices

  • 📊 Evaluation of Non-Ionizing Radiation Risks in Medical Facilities

  • 🧠 Artificial Intelligence Models for Biosignal Interpretation in Physiotherapy

  • 💡 Innovative Health Informatics Training for Medical Professionals

  • 🔬 Computational Intelligence Approaches in Health Physics Education

  • 🧪 Integration of e-Learning Platforms in Medical Physics Curricula

  • 📘 Chapters in Medical Physics Applications and Safety Protocols

  • 🏥 Safety Measures and Risk Assessment in Medical Diagnostics

  • 🧬 Electrophysiological Signal Analysis for Rehabilitation Therapy

  • 💻 Health Data Analytics Using Machine Learning Models

Zhaotong Song | Decision Sciences | Best Researcher Award

Published on by Citation Awards

Zhaotong Song | Decision Sciences | Best Researcher Award

Ms. Zhaotong Song, Xinjiang University, China

Ms. Zhaotong Song is a passionate young researcher affiliated with Xinjiang University, China, where she contributes to the field of decision sciences with a focus on energy management and intelligent decision-making. As a student and active academic member, she is driven by the urgent global need for sustainable energy solutions, especially in arid and challenging regions. Her current work addresses complex challenges in renewable energy integration within the “Desert-Gobi-Wilderness” zones, advocating for innovative and environmentally sound policies. Through her academic pursuits, Ms. Song blends theoretical knowledge with practical, geospatial analysis, applying intelligent systems to optimize site selection and energy utilization. Her contribution to sustainability through interdisciplinary research has positioned her as a promising voice among emerging scholars in China. Her commitment to innovation and development continues to reflect in her publications and ongoing research, especially within the scope of intelligent decision-making for environmental resilience and renewable energy planning.

Publication Profile

orcid

Education

Ms. Zhaotong Song is currently pursuing her studies at Xinjiang University, one of the key institutions in Western China. Her academic track is rooted in Decision Sciences, with a specialized focus on energy management and intelligent decision-making systems. She has undergone rigorous training in data analysis, geospatial technologies, and sustainability modeling, equipping her with the skills to handle real-world energy problems in extreme environments such as deserts and wilderness zones. Her education incorporates cross-disciplinary approaches, including environmental planning, engineering economics, and advanced simulation methods. Zhaotong’s curriculum also emphasizes the development of research methods in optimization algorithms and GIS-based decision-making tools. Through coursework and applied research, she has developed a comprehensive understanding of integrated energy systems and their socio-environmental impacts, preparing her to contribute meaningfully to sustainable development initiatives both in China and globally.

Experience

As a student researcher at Xinjiang University, Ms. Zhaotong Song has gained practical experience through academic projects and publications related to energy and environmental decision-making. Her recent research centers on the integration of photovoltaic systems into multi-industry infrastructures across challenging geographies like the “Desert-Gobi-Wilderness” region. She has experience in conducting geospatial suitability simulations, dynamic site selection, and using multi-criteria decision-making (MCDM) models to optimize renewable energy strategies. She has contributed to data-driven analysis for sustainable planning and has worked in interdisciplinary teams comprising environmental scientists, energy engineers, and geographers. Her collaborative work has led to peer-reviewed publications, particularly in MDPI journals. In addition, she has participated in academic seminars and workshops related to smart energy systems and sustainable regional development. Despite being early in her career, Ms. Song has shown exceptional promise through her project leadership and innovative application of decision science methodologies.

Honors and Awards

Ms. Zhaotong Song was honored in the Research Awards Category for her outstanding contribution to sustainable development through her study titled “Photovoltaic +” Multi-industry Integration for Sustainable Development in “Desert-Gobi-Wilderness” Region: Geospatial Suitability Simulation and Dynamic Site Selection Decision Optimization. This recognition acknowledges her innovative research in renewable energy planning and intelligent decision-making in environmentally sensitive and challenging terrains. Her award-winning paper, published in MDPI’s journal Land, showcases her ability to combine geospatial analysis, sustainability metrics, and policy insights for regional energy transformation. Her research addresses both theoretical advancement and practical policy-making, making it a valuable resource for energy planners and environmental strategists. This honor reflects her growing influence in decision sciences and her potential as a future leader in smart energy planning and sustainable regional development. The recognition serves as a strong testament to her academic excellence and real-world relevance of her research.

Research Focus

Ms. Zhaotong Song’s research centers on the intersection of decision sciences, energy management, and geospatial intelligence. She is particularly interested in optimizing the deployment of photovoltaic (PV) energy systems in extreme and ecologically sensitive regions such as deserts and wilderness areas. Her work integrates multi-criteria decision-making (MCDM) models, GIS-based simulations, and intelligent algorithms to identify the most suitable sites for PV development while ensuring minimal environmental disruption. Her focus lies in enabling sustainable development by advancing intelligent frameworks that support “Photovoltaic +” multi-industry integration. She aims to provide scientifically sound solutions for integrating energy infrastructure with agriculture, transportation, and ecology in harmony with nature. Her commitment to renewable energy transformation through dynamic site selection models and spatial suitability analyses reflects a deep engagement with current global sustainability challenges and a forward-thinking approach to environmental planning in the age of smart decision systems.

Publications

📝 “Photovoltaic +” Multi-industry Integration for Sustainable Development in “Desert-Gobi-Wilderness” Region: Geospatial Suitability Simulation and Dynamic Site Selection Decision Optimization – 🔗

Tarek Sadraoui | Econometrics and Finance | Best Research Article Award

Published on by Citation Awards

Tarek Sadraoui | Econometrics and Finance | Best Research Article Award

Prof Tarek Sadraoui, Department of Economics, College of Business, Imam Mohammad Ibn Saud Islamic University, IMSIU, Riyadh, Saudi Arabia, Saudi Arabia

Dr. Tarek Sadraoui is a seasoned academic and researcher specializing in Quantitative Methods and Economics. Currently serving as an Associate Professor and Director of the Department of Quantitative Methods at the Faculty of Economics and Management of Mahdia, University of Monastir, Tunisia, he has significantly contributed to academic research, leadership, and curriculum development. With over two decades of experience in higher education, he has held various administrative and academic roles across Tunisian universities, including the University of Sfax, University of Gabes, and University of Gafsa. Dr. Sadraoui is a prolific researcher with multiple publications indexed in Scopus and journals such as HELIYON and Global Business Review. His expertise spans econometrics, financial modeling, and data analytics, making him a valuable contributor to both academia and policy-making. He also plays a vital role as an editorial board member and reviewer for numerous international journals. His career reflects a dedication to quality education, research innovation, and institutional development.

Publication Profile

orcid

🎓 Education

Dr. Tarek Sadraoui’s academic journey began with a Bachelor’s degree in Quantitative Methods in 2000 from the Faculty of Economics and Management of Sfax, Tunisia. He earned his M.A. in Economics in 2003 from the same institution, where he studied the relationship between public and private investment in R&D. In 2009, he completed his PhD in Economics, focusing on R&D cooperation and economic growth through theoretical and dynamic panel data approaches. In 2014, he attained the HDR (Habilitation à Diriger des Recherches) in Quantitative Methods, further solidifying his academic standing and research leadership capabilities. His multidisciplinary education in economics, quantitative analysis, and statistical modeling forms the foundation of his extensive academic and research career. Dr. Sadraoui’s educational qualifications have enabled him to contribute meaningfully to both teaching and high-level academic research in Tunisia and beyond.

💼 Experience

Dr. Sadraoui has over 20 years of extensive academic and professional experience. Since 2016, he has served as an Associate Professor and Director of the Quantitative Methods Department at the Faculty of Economics and Management of Mahdia, University of Monastir. Previously, he was Vice Director and Director of Studies at the Higher Institute of Business Administration of Gafsa (2011–2015). He has also taught as an Assistant and Invited Associate Professor at several institutions including the University of Sfax, Gabes, and Sousse. Additionally, he has held key academic positions such as member of doctoral and HDR committees, research master’s program coordinator, and national jury member for academic promotions. He is actively involved in curriculum development and has trained professionals in statistical software like Eviews and WinRATS. Dr. Sadraoui’s experience spans administration, pedagogy, program development, and international collaborations, demonstrating his leadership and dedication to advancing economics and quantitative education in Tunisia.

🏆 Honors and Awards

Dr. Tarek Sadraoui has received several notable recognitions in his academic career. He was a certified pedagogue and trainer in advanced econometric methods and Six Sigma applications in higher education. His participation in national curriculum development and academic quality assurance in Tunisia highlights his influence on the national educational system. He earned a Global Studies Certificate of Proficiency in English from the Business Development and ETS and completed certified training in remote teaching from the Agency Universitaire of Francophonie. Dr. Sadraoui’s leadership roles as Editor-in-Chief, Editorial Board Member, and Reviewer for various indexed journals such as the International Journal of Econometrics and Financial Management, HELIYON, and others reflect his academic stature. He has also contributed as a guest editor and reviewer in major global journals and was a committee member for international conferences, further affirming his scholarly recognition and professional engagement within the international academic and research community.

🔬 Research Focus

Dr. Sadraoui’s research focuses on quantitative economics, financial econometrics, time series analysis, and R&D policy. His work investigates the interplay between economic growth, financial development, energy markets, and digital economy dynamics using advanced econometric models, including panel data econometrics, Copula-MGARCH models, and VAR/SVAR techniques. His contributions extend to evaluating the impacts of financial crises, digital transformation, and cryptocurrencies on macroeconomic indicators. His studies often feature empirical modeling using Eviews and WinRATS software, making his research applicable to real-world economic scenarios. A significant aspect of his research includes assessing the synergies between innovation, quality management, and sustainable development in emerging economies. He has also explored the role of accounting practices and education in enhancing organizational efficiency and resilience. Through collaborative research and interdisciplinary approaches, Dr. Sadraoui continues to provide policy-relevant insights that influence both academic literature and practical financial decision-making in the MENA region and globally.

📚 Publications

  • 📘 Does financial crisis really affect French economic growth? (2022) – IJMFA

  • 🔁 Dynamic spillover between crude oil, natural gas, and BRICS stock markets (2022) – JEM

  • 💱 Studying relationship between Bitcoin, exchange rate and financial development (2021) – IJMFA

  • 📊 Risk spillover between energy market and BRICS stock markets: Copula-MGARCH (2021) – GBR

  • 🧠 CEO Financial Education and Bank Performance (2021) – JEE

  • 🌍 Bitcoin, Social Media, and Covid-19 Nexus Analysis (2021) – HELIYON

  • 💻 Digital Economy and Economic Prosperity Comparative Analysis (2021) – JTDE

  • 🧾 Agile Accounting in Reducing Production Costs: Sonatrach Case Study (2021) – Roa Iktissadia

  • 🌱 Micro-finance and Sustainable Development in MENA Countries (2021) – Iranian Economic Review

  • 💉 Impact of Health Spending on Economic Growth: Case of France (2020) – IJEFM

  • 🔋 Investment in Renewable Energy: Tunisia vs Algeria (2020) – Revue Algérienne

  • 📚 Conservatism Accounting Practices in Algeria (2020) – Roa Iktissadia

  • ☁️ Challenges of Adopting Cloud Accounting in Algerian Business (2020) – Revue des Sciences Économiques