Daniel Pasca | Dynamical Systems | Best Researcher Award

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Prof. Dr. Daniel Pasca | Dynamical Systems | Best Researcher Award

University of Oradea, Romania

Professor Daniel Pașca, Ph.D. in Mathematics from the University of Bucharest, is a distinguished scholar specializing in variational methods, critical point theory, bifurcation theory, and their applications in nonlinear problems such as fluid mechanics, Hamiltonian systems, celestial mechanics, hydrodynamic stability, and biomechanics. With over 30 years of academic experience, he has authored 50+ ISI-indexed publications in renowned journals, including Celestial Mechanics and Dynamical Astronomy and Journal of Mathematical Physics. He has led international collaborations in Canada, USA, Spain, and Germany, contributing significantly to global research. As Chancellor of the Senate at the University of Oradea, he has demonstrated strong academic leadership while mentoring emerging scholars. His career reflects a deep commitment to advancing mathematical sciences through research excellence, innovation, and cross-border academic engagement.

Professional Profile

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Education

Professor Daniel Pașca earned his Ph.D. in Mathematics from the University of Bucharest, establishing a strong foundation in advanced mathematical theories and applications. His academic journey began with rigorous training in pure and applied mathematics, equipping him with deep analytical and problem-solving skills. Over the years, he has expanded his knowledge through international academic exposure in Canada, USA, Spain, and Germany. This diverse educational background has allowed him to integrate global perspectives into his research and teaching. His doctoral work, focused on variational methods and nonlinear analysis, laid the groundwork for his future contributions to mathematics and its applications. His commitment to continuous learning and professional development ensures that he remains at the forefront of evolving mathematical research and education worldwide.

Experience

With over three decades in academia, Professor Daniel Pașca has held key leadership and teaching roles, including Chancellor of the Senate at the University of Oradea. His professional career spans research, mentorship, and institutional governance, combining scholarly excellence with strategic leadership. He has guided graduate students toward impactful research careers, fostering innovation and academic rigor. His international collaborations have strengthened research partnerships with universities in Canada, USA, Spain, and Germany, enhancing knowledge exchange and cultural understanding. His experience extends to organizing academic conferences, contributing to curriculum development, and serving as a reviewer for leading scientific journals. This blend of research, teaching, and leadership experience positions him as a highly respected figure in the global mathematical community, shaping both knowledge and academic policy.

Research Interest

Professor Daniel Pașca’s research interests lie in variational methods, critical point theory, bifurcation theory, and their applications to nonlinear problems in physics, engineering, and biomechanics. His work addresses complex challenges in fluid mechanics, Hamiltonian systems, celestial mechanics, and hydrodynamic stability, offering both theoretical insights and practical solutions. By exploring the interplay between abstract mathematics and applied sciences, he has contributed to advancements in modeling real-world phenomena. His interdisciplinary approach enables the development of innovative methods that bridge mathematics with other scientific fields. He is particularly passionate about problems where mathematical theory can lead to significant improvements in engineering systems and natural sciences. His research philosophy emphasizes depth, rigor, and applicability, ensuring that his work remains relevant and impactful across academic and industrial domains.

Award and Honor

Professor Daniel Pașca’s distinguished career has been recognized with numerous honors, including international research fellowships and invitations to collaborate with top universities worldwide. His publications in prestigious journals such as Celestial Mechanics and Dynamical Astronomy and Journal of Mathematical Physics reflect his high standing in the academic community. He has been invited as a speaker at international conferences, where his expertise in nonlinear analysis and applied mathematics has earned him widespread respect. His leadership at the University of Oradea has also been acknowledged for fostering research excellence and academic growth. These accolades, combined with his long-standing commitment to mathematics, showcase his influence and dedication. His awards are not only a recognition of past achievements but also a testament to his ongoing contributions to the advancement of mathematical sciences globally.

Research Skill

Professor Daniel Pașca possesses advanced skills in mathematical modeling, nonlinear analysis, and variational methods, enabling him to address complex theoretical and applied problems. His expertise extends to bifurcation theory, stability analysis, and computational approaches for solving equations arising in physics and engineering. He is adept at synthesizing abstract concepts into practical frameworks, allowing for interdisciplinary research that connects mathematics with biomechanics, fluid dynamics, and celestial mechanics. His proficiency in scholarly writing has resulted in 50+ ISI-indexed publications, while his peer-review work for leading journals reflects his critical evaluation skills. He is also skilled in research project coordination, fostering international collaborations that yield impactful results. These abilities position him as both a thought leader and an active contributor to solving challenging mathematical problems with real-world applications.

Publication Top Notes

  • Title: Some existence results on periodic solutions of nonautonomous second-order differential systems with (q, p)-Laplacian
    Authors: D. Paşca, C.L. Tang
    Year: 2010
    Citations: 28

  • Title: A version of Zhong’s coercivity result for a general class of nonsmooth functionals
    Authors: D. Motreanu, V.V. Motreanu, D. Paşca
    Year: 2002
    Citations: 26

  • Title: The two-body problem with generalized Lennard-Jones potential
    Authors: M. Bărbosu, V. Mioc, D. Paşca, F. Szenkovits
    Year: 2011
    Citations: 20

  • Title: Periodic solutions of a class of nonautonomous second order differential systems with (q, p)-Laplacian
    Authors: D. Paşca
    Year: 2010
    Citations: 20

  • Title: Periodic solutions of second-order differential inclusions systems with p-Laplacian
    Authors: D. Paşca
    Year: 2005
    Citations: 19

  • Title: The circular restricted 4-body problem with three equal primaries in the collinear central configuration of the 3-body problem
    Authors: J. Llibre, D. Paşca, C. Valls
    Year: 2021
    Citations: 9

  • Title: Qualitative study of a charged restricted three-body problem
    Authors: J. Llibre, D. Paşca, C. Valls
    Year: 2013
    Citations: 7

  • Title: Duality mappings and the existence of periodic solutions for non-autonomous second order systems
    Authors: G. Dincă, D. Goeleven, D. Paşca
    Year: 2006
    Citations: 7

  • Title: Existence and multiplicity of solutions for p-Laplacian Neumann problems
    Authors: Q. Jiang, S. Ma, D. Paşca
    Year: 2019
    Citations: 6

  • Title: Periodic solutions of non-autonomous second order systems with (q(t), p(t))-Laplacian
    Authors: D. Paşca, C.L. Tang
    Year: 2014
    Citations: 6

  • Title: Periodic solutions for nonautonomous second order differential inclusions systems with p-Laplacian
    Authors: D. Paşca
    Year: 2006
    Citations: 6

  • Title: Existence theorem of periodical solutions of Hamiltonian systems in infinite-dimensional Hilbert spaces
    Authors: G. Dincă, D. Paşca
    Year: 2001
    Citations: 6

  • Title: New existence results on periodic solutions of nonautonomous second order Hamiltonian systems with -Laplacian
    Authors: D. Paşca, Z. Wang
    Year: 2013
    Citations: 5

  • Title: Qualitative analysis of the anisotropic two-body problem with generalized Lennard-Jones potential
    Authors: D. Paşca, C. Valls
    Year: 2012
    Citations: 5

Conclusion

Professor Daniel Pașca stands as a highly accomplished mathematician, educator, and academic leader whose career exemplifies dedication to research, innovation, and collaboration. His contributions span theoretical advancements, practical applications, and the mentorship of future scholars. Through decades of sustained scholarly activity, he has influenced global mathematics research while strengthening institutional excellence at the University of Oradea. His work in nonlinear systems, variational methods, and applied mathematics has bridged the gap between theory and practice, benefiting multiple scientific disciplines. With an unwavering commitment to academic integrity and knowledge dissemination, he continues to shape the international research landscape. His record of achievements, combined with his vision for advancing mathematical sciences, solidifies his reputation as a leading figure whose impact will resonate for years to come.

Dragan Randelovic | Mathematical Modeling | Mathematical Modeling Breakthrough Award

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Prof. Dr. Dragan Randelovic | Mathematical Modeling | Mathematical Modeling Breakthrough Award

Full Professor at University Union Nikola Tesla, Faculty for diplomacy and security, Serbia

Prof. Dr. Dragan Ranđelović, Full Professor at Union University – Nikola Tesla, Faculty of Diplomacy and Security, is a renowned expert in Information Technology, Informatics, and Mathematics with over 45 years of academic and research experience. Earning his Ph.D. from the University of Pristina, he has led and contributed to numerous national and international projects, applying mathematical modeling to biological, economic, and sociological systems. Author of over 300 publications, including 40 Web of Science-indexed papers, 15 university textbooks, and co-editor of international volumes, he has over 400 citations with an h-index above 10. A mentor to more than 50 postgraduate candidates, he serves on editorial boards of multiple international journals and continues to influence research, education, and interdisciplinary innovation on a global scale.

Professional Profile

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Education

Prof. Dr. Dragan Ranđelović earned his degree in Electronics from the Faculty of Electronics, Niš, Graduating first in his class ahead of schedule. He completed his master’s degree at the same faculty and obtained his Ph.D. from the Faculty of Science and Mathematics, University of Pristina. His academic journey reflects a deep integration of mathematics, informatics, and technology, forming the foundation for his multidisciplinary expertise. Over the years, he has also pursued continuous academic engagement through teaching, research, and scholarly collaborations. His educational achievements, rooted in rigorous technical disciplines, have underpinned a career dedicated to advancing both theoretical and applied aspects of information technology, with a strong emphasis on the role of mathematical modeling in solving complex, real-world challenges.

Experience

With over 45 years of professional experience, Prof. Dr. Ranđelović has seamlessly bridged academia, industry, and research institutions. He began as a high school teacher before joining the Institute of Electronic Industry in Niš as a development engineer, later managing one of its key research laboratories. He held senior leadership roles in various factories under Elektronska Industrija Niš, followed by significant academic appointments. His tenure includes assistant, associate, and full professorships across universities in Serbia, including the University of Pristina, University of Belgrade, University of Novi Sad, and the University of Criminalistics and Police Studies. Currently, he is Full Professor and Head of the Department of Software Engineering and IT at Union University – Nikola Tesla, Faculty of Diplomacy and Security.

Research Interest

Prof. Dr. Ranđelović’s research interests span information technology, informatics, applied mathematics, and advanced computational methods. He has focused on mathematical modeling for decision-making processes across diverse domains, including biological, economic, and sociological systems. His work integrates statistical analysis, experimental design, and simulation models to develop innovative solutions to complex interdisciplinary problems. He is particularly engaged in research on analytical decision-making frameworks that leverage modern information technologies for real-world applications. His interests also include artificial intelligence applications, data-driven methodologies, and the integration of mathematical models in policy-making and industrial optimization. Through his extensive projects and editorial work, he continuously advances the application of mathematical principles in emerging technology-driven environments, influencing both academic research and industry practices.

Award and Honor

Prof. Dr. Ranđelović’s distinguished career has been marked by significant academic and professional recognition. He has been invited to serve on the editorial boards of multiple international journals, such as Artificial Intelligence Advances and Mathematics and Computer Science, reflecting his scholarly authority. His role as Guest Editor for a special issue of the prestigious Symmetry journal highlights his continued leadership in the academic community. Additionally, his contributions as a mentor to over 50 master’s and specialist candidates, as well as doctoral students, demonstrate his commitment to developing future scholars. His long-standing involvement in high-impact national and international projects further attests to his professional standing and the respect he commands in the fields of information technology and mathematical modeling.

Research Skill

Prof. Dr. Ranđelović possesses an exceptional combination of theoretical expertise and applied research skills. His proficiency includes advanced mathematical modeling, algorithm design, data analytics, simulation techniques, and the development of decision-support systems. He has significant experience in managing interdisciplinary research projects, coordinating teams, and integrating complex datasets into actionable insights. His skill set extends to academic writing, peer reviewing, and editorial leadership, supported by over 300 publications and 150 review assignments. His ability to translate mathematical frameworks into practical applications across varied fields—from economics to security—has positioned him as a versatile researcher. These competencies, coupled with his leadership in both academic and industrial settings, underscore his capacity to address emerging challenges through innovative and methodical approaches.

Publication Top Notes

  • Title: Triple Modular Redundancy Optimization for Threshold Determination in Intrusion Detection Systems
    Authors: I. Babić, A. Miljković, M. Čabarkapa, V. Nikolić, A. Đorđević, M. Ranđelović, …
    Year: 2021
    Citations: 14

  • Title: Determining VLSI Array Size for One Class of Nested Loop Algorithms
    Authors: E. I. M. Titokic, I. Z. Milovanović, D. M. Randjelović
    Year: 1998
    Citations: 13*

  • Title: Challenging Ergonomics Risks with Smart Wearable Extension Sensors
    Authors: N. Maksimović, M. Čabarkapa, M. Tanasković, D. Randjelović
    Year: 2022
    Citations: 12

  • Title: Prediction of Important Factors for Bleeding in Liver Cirrhosis Disease Using Ensemble Data Mining Approach
    Authors: A. Aleksić, S. Nedeljković, M. Jovanović, M. Ranđelović, M. Vuković, …
    Year: 2020
    Citations: 12

  • Title: Use of Determination of the Importance of Criteria in Business-Friendly Certification of Cities as Sustainable Local Economic Development Planning Tool
    Authors: M. Ranđelović, S. Nedeljković, M. Jovanović, M. Čabarkapa, V. Stojanović, …
    Year: 2020
    Citations: 12

  • Title: SOSerbia: Android-Based Software Platform for Sending Emergency Messages
    Authors: M. Jovanović, I. Babić, M. Čabarkapa, J. Mišić, S. Mijalković, V. Nikolić, …
    Year: 2018
    Citations: 12

  • Title: A Multicriteria Decision Aid-Based Model for Measuring the Efficiency of Business-Friendly Cities
    Authors: M. Jovanović, S. Nedeljković, M. Ranđelović, G. Savić, V. Stojanović, …
    Year: 2020
    Citations: 11

  • Title: An Advanced Quick-Answering System Intended for the e-Government Service in the Republic of Serbia
    Authors: S. Nedeljković, V. Nikolić, M. Čabarkapa, J. Mišić, D. Ranđelović
    Year: 2019
    Citations: 11

  • Title: The Design of the Personal Enemy-MIMLebot as an Intelligent Agent in a Game-Based Learning Environment
    Authors: K. Kuk, I. Z. Milentijević, D. Ranđelović, B. M. Popović, P. Čisar
    Year: 2017
    Citations: 11

  • Title: Intelligent Agents and Game-Based Learning Modules in a Learning Management System
    Authors: K. Kuk, D. Rančić, O. Pronić-Rančić, D. Ranđelović
    Year: 2016
    Citations: 11

  • Title: Study Program Selection by Aggregated DEA-AHP Measure
    Authors: G. Savić, D. Makajić-Nikolić, D. Ranđelović, M. Ranđelović
    Year: 2013
    Citations: 11

  • Title: Determination of Invariant Measures: An Approach Based on Homotopy Perturbations
    Authors: V. Stojanović, T. Kevkić, G. Jelić, D. Ranđelović
    Year: 2018
    Citations: 8

  • Title: Different Methods for Fingerprint Image Orientation Estimation
    Authors: B. M. Popović, M. V. Bandur, A. M. Raičević, D. Ranđelović
    Year: 2012
    Citations: 8

Conclusion

Prof. Dr. Dragan Ranđelović’s illustrious career stands as a testament to his dedication to advancing information technology, mathematics, and interdisciplinary research. His educational foundation, vast professional experience, and prolific scholarly output have left a lasting impact on both academia and industry. Through decades of research, teaching, and leadership, he has fostered innovation in mathematical modeling and its real-world applications. His mentorship of future professionals and active engagement in editorial and collaborative roles exemplify his commitment to the global academic community. Looking forward, his expertise and vision position him to continue contributing groundbreaking work, further solidifying his reputation as a leader in integrating mathematical and technological solutions to address complex societal and scientific challenges.

Seho Lee | Data Science | Best Researcher Award

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Prof. Seho Lee | Data Science | Best Researcher Award

Assistant Professor at University of Ulsan, South Korea

Dr. Seho Lee, Assistant Professor in the Department of AI Convergence, is a distinguished researcher specializing in neuroengineering, brain–computer interfaces (BCI), and clinical artificial intelligence. He earned his Ph.D. in Brain and Cognitive Engineering from Korea University, following advanced degrees in biomedical engineering and electrophysics. His research focuses on advanced neurophysiological signal analysis, AI-based clinical decision support, and predictive modeling for neurological disorders. Dr. Lee has played key roles in multiple international, grant-funded projects and has published extensively in high-impact journals, including IEEE and Frontiers in Neuroscience. Holding several patents in BCI and biomedical AI, he is also an active member of professional bodies like IEEE. With a strong commitment to innovation, interdisciplinary collaboration, and mentorship, Dr. Lee continues to advance technologies that bridge engineering and clinical applications for global impact.

Professional Profile

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Education

Dr. Seho Lee holds a Ph.D. in Brain and Cognitive Engineering from Korea University, where he specialized in advanced neurophysiological signal processing and AI applications in neuroscience. He earned his Master’s degree in Biomedical Engineering from Hanyang University, focusing on biomedical signal analysis and neural interface technologies. His academic journey began with a Bachelor’s degree in Electrophysics from Kwangwoon University, where he developed a strong foundation in physics and electronics. This diverse educational background has enabled Dr. Lee to integrate engineering, computer science, and neuroscience in his research. His training at leading Korean institutions provided both theoretical depth and practical expertise, positioning him to contribute meaningfully to the rapidly evolving fields of neuroengineering, artificial intelligence, and clinical technology innovation at both national and global levels.

Experience

Dr. Lee currently serves as an Assistant Professor in the Department of AI Convergence, where he leads research at the intersection of neuroscience, artificial intelligence, and clinical applications. He has been a key contributor to multiple multi-year, grant-funded projects, collaborating with hospitals, research institutes, and industry partners. His work spans developing brain–computer interface (BCI) systems, AI-powered clinical decision support tools, and predictive models for neurological disorder progression. Dr. Lee’s experience includes managing large datasets, integrating wearable and invasive neural monitoring technologies, and designing patient-centric solutions. His portfolio also features active involvement in interdisciplinary teams, student supervision, and community-driven scientific initiatives. Through his extensive project work and academic contributions, he has developed a global research perspective while ensuring his innovations address practical, real-world needs in healthcare and rehabilitation technologies.

Research Interest

Dr. Lee’s research interests focus on neuroengineering, brain–computer interfaces (BCI), clinical artificial intelligence, and neuroscience applications for patient rehabilitation. He specializes in advanced analysis of continuously measured neurophysiological signals, quantitative brain network modeling, and AI-driven diagnostic tools. His work aims to create practical solutions for individuals with neurological impairments by enhancing brain–machine communication and predictive clinical analytics. Key topics include the use of AI for clinical data interpretation, development of real-time decision support systems, and non-invasive neural stimulation methods. Dr. Lee is also deeply engaged in studying pathological progression in neurological disorders, with the goal of early intervention. His multidisciplinary approach combines engineering, cognitive science, and medicine, contributing to breakthroughs that directly improve patient quality of life and expand the capabilities of modern neurotechnology.

Award and Honor

While building his academic career, Dr. Lee has earned recognition through successful participation in competitive, nationally funded research projects and prestigious institutional appointments. His innovations in brain–computer interface technology and AI-based biomedical systems have resulted in multiple patents in Korea and the United States, marking him as a thought leader in his domain. He has been invited to present at leading IEEE conferences, demonstrating peer acknowledgment of his contributions. His publications in high-impact journals further attest to his research excellence. The combination of competitive grant awards, impactful publications, and translational research outcomes underscores Dr. Lee’s professional standing. These achievements not only highlight his expertise but also his commitment to advancing science with tangible applications, making him a strong candidate for distinguished research recognitions and honors.

Research Skill

Dr. Lee possesses a comprehensive set of research skills spanning AI model development, neurophysiological data acquisition and analysis, brain network modeling, and clinical signal interpretation. He is adept in programming, machine learning, and deep learning techniques applied to healthcare data, including EEG, EMG, and imaging modalities. His expertise extends to designing and implementing both hardware and software components for brain–computer interfaces, ensuring reliability and usability in clinical environments. Dr. Lee is skilled in statistical modeling, biomedical signal preprocessing, and data visualization for translational research. He has extensive experience collaborating across disciplines, managing international research collaborations, and guiding graduate students in advanced projects. Combined with his patent-proven innovation capabilities, these skills enable him to transform theoretical concepts into impactful neuroengineering solutions that address pressing healthcare challenges.

Publication Top Notes

  • Title: Improved prediction of bimanual movements by a two-staged (effector-then-trajectory) decoder with epidural ECoG in nonhuman primates
    Authors: H Choi, J Lee, J Park, S Lee, K Ahn, IY Kim, KM Lee, DP Jang
    Year: 2018
    Citations: 26

  • Title: Physicochemical factors that affect electroporation of lung cancer and normal cell lines
    Authors: HB Kim, S Lee, Y Shen, PD Ryu, Y Lee, JH Chung, CK Sung, KY Baik
    Year: 2019
    Citations: 24

  • Title: Effects of actin cytoskeleton disruption on electroporation in vitro
    Authors: HB Kim, S Lee, JH Chung, SN Kim, CK Sung, KY Baik
    Year: 2020
    Citations: 19

  • Title: Importance of reliable EEG data in motor imagery classification: Attention level-based approach
    Authors: S Lee, YT Kim, SO Hwang, H Kim, DJ Kim
    Year: 2020
    Citations: 7

  • Title: Long-term evaluation and feasibility study of the insulated screw electrode for ECoG recording
    Authors: H Choi, S Lee, J Lee, K Min, S Lim, J Park, K Ahn, IY Kim, KM Lee
    Year: 2018
    Citations: 6

  • Title: Decoding saccadic directions using epidural ECoG in non-human primates
    Authors: J Lee, H Choi, S Lee, BH Cho, K Ahn, IY Kim, KM Lee, DP Jang
    Year: 2017
    Citations: 6

  • Title: Reduced burden of individual calibration process in brain–computer interface by clustering the subjects based on brain activation
    Authors: YT Kim, S Lee, H Kim, SB Lee, SW Lee, DJ Kim
    Year: 2019
    Citations: 4

  • Title: Right hemisphere lateralization in neural connectivity within fronto-parietal networks in non-human primates during a visual reaching task
    Authors: J Lee, H Choi, K Min, S Lee, KH Ahn, HJ Jo, IY Kim, DP Jang, KM Lee
    Year: 2018
    Citations: 3

  • Title: Investigating the effect of mindfulness training for stress management in military training: the relationship between the autonomic nervous system and emotional regulation
    Authors: S Lee, JH Kim, H Kim, SH Kim, SS Park, CW Hong, KT Kwon, SH Lee
    Year: 2025
    Citations: 2

  • Title: Effects of altered functional connectivity on motor imagery brain–computer interfaces based on the laterality of paralysis in hemiplegia patients
    Authors: S Lee, H Kim, JB Kim, DJ Kim
    Year: 2023
    Citations: 2

  • Title: Classification of the motion artifacts in near-infrared spectroscopy based on wavelet statistical feature
    Authors: SB Lee, H Kim, S Lee, HJ Kim, SW Lee, DJ Kim
    Year: 2019
    Citations: 2

  • Title: Heart rate variability as a preictal marker for determining the laterality of seizure onset zone in frontal lobe epilepsy
    Authors: S Lee, H Kim, JH Kim, M So, JB Kim, DJ Kim
    Year: 2024

Conclusion

Dr. Seho Lee represents the next generation of innovators at the convergence of neuroscience, artificial intelligence, and clinical technology. His unique blend of academic excellence, research experience, and practical innovation has positioned him to make transformative contributions to healthcare and rehabilitation sciences. With numerous high-impact publications, patents, and international collaborations, he has demonstrated the ability to move ideas from concept to clinical reality. His work directly improves the lives of individuals with neurological disorders while advancing the scientific understanding of brain–machine interaction. As both a leader and mentor, Dr. Lee continues to inspire new research directions in neuroengineering. His commitment to interdisciplinary collaboration, societal impact, and global engagement makes him an exemplary figure deserving of recognition as a top researcher in his field.

Xiaobin Li | Geometry | Best Researcher Award

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Assoc. Prof. Dr. Xiaobin Li | Geometry | Best Researcher Award

Researcher at Southwest Jiaotong University, China

Dr. Xiaobin Li, a faculty-researcher at the School of Mathematics, Southwest Jiaotong University, specializes in symplectic geometry and mathematical physics. He earned his Ph.D. from Sichuan University and has served as a visiting scholar at Beijing Normal University and the University of Utah. With six research projects and nine international collaborations, he has published extensively in leading journals such as Acta Mathematica Sinica, Science China Mathematics, and the Journal of High Energy Physics. His notable achievements include proving Ruan’s conjecture on singular symplectic flops, advancing the understanding of Nekrasov conjectures, and introducing new topological vertex algorithms. A member of the Chinese and American Mathematical Societies, Dr. Li also mentors students and contributes editorially, reflecting his dedication to advancing mathematical knowledge and fostering international academic exchange.

Professional Profile

Google Scholar | ORCID Profile 

Education

Dr. Xiaobin Li earned his Ph.D. in Mathematics from Sichuan University, where he developed a strong foundation in advanced mathematical theory and research methodology. His academic journey includes prestigious visiting scholar appointments at Beijing Normal University and the University of Utah, experiences that expanded his global academic perspective and collaborative network. These opportunities exposed him to diverse research environments, enabling him to engage with leading experts in symplectic geometry and mathematical physics. His education has been marked by a commitment to deep theoretical inquiry, a capacity for innovative problem-solving, and an openness to interdisciplinary perspectives. Through rigorous academic training and international exposure, Dr. Li has built the scholarly expertise and vision necessary to contribute groundbreaking results to contemporary mathematics and to lead in high-level research collaborations worldwide.

Experience

Dr. Xiaobin Li serves as a faculty-researcher at the School of Mathematics, Southwest Jiaotong University, where he actively combines teaching, mentorship, and high-impact research. His career includes participation in six significant research projects, several of which involve nine international collaborations with renowned institutions. He has authored numerous papers in respected journals, including Acta Mathematica Sinica, Science China Mathematics, and the Journal of High Energy Physics, earning him recognition in both the Chinese and global mathematics communities. In addition to his scholarly output, Dr. Li has contributed as an editorial board member, helping shape the academic discourse in his field. His role extends beyond academia through active engagement with professional societies, creating platforms for knowledge exchange and collaborative innovation. His diverse experience reflects both research excellence and community-oriented leadership.

Research Interest

Dr. Xiaobin Li’s research interests lie at the intersection of symplectic geometry and mathematical physics, focusing on deep and complex problems with far-reaching implications in modern theoretical mathematics. He has made notable progress in nonlinear sigma models, developing a new recursive relation from localization analysis and proving Ruan’s conjecture on singular symplectic flops. Recently, his collaborative work proved the Nekrasov conjecture for 5-brane webs with O5-planes and revealed a novel jumping phenomenon under freezing, along with introducing a new topological vertex algorithm. His research approach blends analytical precision with creative exploration, aiming to resolve longstanding conjectures and inspire new frameworks in geometry and physics. Dr. Li’s work continues to bridge mathematical theory with physical applications, pushing the boundaries of both disciplines and contributing to global scientific advancement.

Award and Honor

Throughout his academic career, Dr. Xiaobin Li has been recognized for his impactful contributions to mathematics, especially within the realms of symplectic geometry and mathematical physics. His research breakthroughs—such as proving Ruan’s conjecture and the Nekrasov conjecture—have earned him respect among peers and positioned him as a leading voice in his field. His role as an editorial board member for a reputed journal and his membership in both the Chinese Mathematical Society and the American Mathematical Society reflect his professional standing and commitment to excellence. His achievements, though primarily scholarly, represent a form of honor that extends beyond formal awards, as his work influences academic discourse globally. The nomination for the Best Researcher Award further acknowledges his sustained dedication, leadership, and contributions to the mathematical sciences.

Research Skill

Dr. Xiaobin Li possesses a diverse set of advanced research skills that underpin his success in tackling complex mathematical challenges. He is adept in geometric analysis, topological methods, and algebraic geometry techniques, allowing him to work across theoretical and applied mathematical physics domains. His ability to design and execute high-level proofs, such as those for Ruan’s and Nekrasov conjectures, demonstrates precision, creativity, and resilience in problem-solving. He is experienced in collaborative research, having successfully engaged in nine international partnerships, and is skilled in guiding students through intricate research problems. His editorial experience adds critical evaluation and peer-review expertise, further enhancing his contribution to the academic community. These combined skills enable him to not only generate original results but also to mentor, lead, and inspire future mathematicians.

Publication Top Notes

  • Title: Multiple Hybrid Phase Transition: Bootstrap Percolation on Complex Networks with Communities
    Authors: C. Wu, S. Ji, R. Zhang, L. Chen, J. Chen, X. Li, Y. Hu
    Year: 2014
    Citations: 25

  • Title: Thermodynamic Limit of Nekrasov Partition Function for 5-Brane Web with O5-Plane
    Authors: X. Li, F. Yagi
    Year: 2021
    Citations: 12

  • Title: Freezing and BPS Jumping
    Authors: SSK Xiaobin Li, Satoshi Nawata, Futoshi Yagi
    Year: 2024
    Citations: 7

  • Title: Ruan’s Conjecture on Singular Symplectic Flops of Mixed Type
    Authors: B. Chen, A. Li, X. Li, G. Zhao
    Year: 2014
    Citations: 6

  • Title: O-Vertex, O7⁺-Plane, and Topological Vertex
    Authors: SSK Xiaobin Li, Futoshi Yagi, Rui-Dong Zhu
    Year: 2024

  • Title: Ruan Cohomologies of the Compactifications of Resolved Orbifold Conifolds
    Authors: S. Du, B. Chen, C.Y. Du, X. Li
    Year: 2016

  • Title: Bootstrap Percolation on Complex Networks with Community Structure
    Authors: W. Chong, L. Xiaobin, Z. Rui, H. Yanqing, J. Shenggong, C. Jiawei, C. Liujun
    Year: 2014

  • Title: A New Gluing Recursive Relation for Linear Sigma Model of ℙ¹-Orbifold
    Authors: X.B. Li, B.H. Chen, C.Y. Du
    Year: 2013

  • Title: An Application of Symplectic Virtual Localization
    Authors: L. Xiaobin
    Year: 2010

Conclusion

Dr. Xiaobin Li stands as an accomplished mathematician whose research, leadership, and international collaborations have advanced the frontiers of symplectic geometry and mathematical physics. His proven ability to resolve complex conjectures, combined with a consistent record of publishing in high-impact journals, demonstrates both depth and influence in his scholarly work. Through his mentoring of students and editorial contributions, he fosters an environment of academic growth and innovation. His memberships in prestigious mathematical societies affirm his global engagement and professional credibility. With a vision for continued exploration and a foundation of rigorous research skills, Dr. Li is poised to make even greater contributions to mathematics, making him a truly deserving nominee for honors such as the Best Researcher Award.

Kamal Aziziheris | Algebra | Best Researcher Award

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Prof. Kamal Aziziheris | Algebra | Best Researcher Award

Professor at University of Tabriz, Iran

Prof. Kamal Aziziheris, Professor of Mathematics at the University of Tabriz, is a leading expert in Group Representation Theory, specializing in the Character Theory of Finite Groups. He earned his Ph.D. from Kent State University, USA, and has since contributed extensively to the field through influential research, international collaborations, and high-impact publications in prestigious journals such as Journal of Algebra and Communications in Algebra. His academic journey spans notable research visits to Texas State University and the American University of Beirut, alongside mentoring multiple Ph.D. and M.Sc. students. An active reviewer for top journals and an AMS/zbMath reviewer, he plays a vital role in advancing global mathematical knowledge. Prof. Aziziheris’s scholarly excellence, leadership, and dedication to mathematical research make him a distinguished figure in the academic community.

Professional Profile

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Education

Prof. Kamal Aziziheris earned his B.Sc. in Mathematics from the University of Tabriz and M.Sc. in Mathematics from the University of Tehran. He later pursued his Ph.D. in Mathematics at Kent State University, USA, specializing in Group Representation Theory under Prof. Mark L. Lewis. His doctoral research focused on determining group structure from the sets of character degrees, a significant topic in algebra. Following his Ph.D., he undertook a Postdoctoral Fellowship at Texas State University, further refining his expertise. His educational journey, marked by academic excellence and prestigious fellowships, provided a solid foundation for his distinguished research career, combining deep theoretical insight with a commitment to mathematical advancement on both national and international levels.

Experience

With over two decades in academia, Prof. Kamal Aziziheris has held roles from Lecturer to Full Professor at the University of Tabriz. His career also includes Postdoctoral Researcher at Texas State University and Visiting Assistant Professor at the American University of Beirut. He has supervised 4 Ph.D. and 16 M.Sc. students in pure mathematics, taught diverse mathematics courses, and led advanced seminars in finite group theory. His experience extends internationally, with research visits to prestigious institutions and invited talks at major conferences. As a reviewer for leading journals and AMS/zbMath, he actively contributes to the global research community. His professional journey reflects consistent growth, leadership, and impactful contributions to both teaching and mathematical research.

Research Interest

Prof. Kamal Aziziheris’s primary research lies in Group Representation Theory, with a focus on the Character Theory of Finite Groups. His work explores the intricate relationship between group structure and the set of irreducible character degrees, particularly in solvable and nonsolvable groups. He has addressed key problems related to direct products, solvability criteria, and degree graphs, producing results published in high-impact journals such as Journal of Algebra and Communications in Algebra. His research also ventures into quantum algebra structures, reflecting a broad yet deep mathematical vision. With ongoing projects on conjectures like Isaacs–Seitz and Huppert’s, Prof. Aziziheris continues to push theoretical boundaries, while his collaborative approach fosters meaningful exchanges with mathematicians worldwide, enhancing the impact and reach of his scholarly work.

Award and Honor

Prof. Kamal Aziziheris has earned numerous accolades recognizing his research excellence and teaching distinction. During his Ph.D. at Kent State University, he received the Fellowship Award, Graduate Student Senate Dissertation Award, and the Phi Beta Award for academic excellence. He also won the Chairman’s Award for Excellence in Teaching at the University of Tabriz and secured top positions in national mathematics competitions, including First Prize in Algebra Problems at the 23rd Annual Universities Contest. Earlier in his career, he earned the Institute for Studies in Theoretical Physics and Mathematics Fellowship and prizes in the Iranian Mathematical Olympiad. These honors reflect not only his intellectual achievements but also his dedication to high-quality teaching, mentorship, and advancing mathematical knowledge both nationally and internationally.

Research Skill

Prof. Kamal Aziziheris possesses exceptional skills in algebraic problem-solving, abstract reasoning, and advanced mathematical proof construction. His expertise in group theory enables him to analyze and characterize the structural properties of finite groups through irreducible character degrees. He is adept at handling complex computations using Magma, and proficient in LaTeX for professional academic writing. His research skills encompass formulating conjectures, devising proof strategies, and applying theoretical results to broader algebraic frameworks. As a peer reviewer for major journals, he demonstrates sharp analytical judgment and attention to detail. These abilities, coupled with his strong collaborative and mentorship skills, allow him to lead impactful research projects and guide emerging mathematicians toward producing high-quality, publishable work in the global mathematical community.

Publication Top Notes

  • Title: Computerized techniques pave the way for drug-drug interaction prediction and interpretation
    Authors: R Safdari, R Ferdousi, K Aziziheris, SR Niakan-Kalhori, Y Omidi
    Year: 2016
    Citations: 45

  • Title: The quantum group SLq⋆(2) and quantum algebra Uq (sl2⋆) based on a new associative multiplication on 2×2 matrices
    Authors: K Aziziheris, H Fakhri, S Laheghi
    Year: 2020
    Citations: 8

  • Title: Determining group structure from the sets of character degrees
    Authors: K Aziziheris
    Year: 2010
    Citations: 8

  • Title: Simple groups with few irreducible character degrees
    Authors: K Aziziheris, F Shafiei, F Shirjian
    Year: 2021
    Citations: 7

  • Title: Some character degree conditions implying solvability of finite groups
    Authors: K Aziziheris
    Year: 2013
    Citations: 7

  • Title: Taketa’s theorem for some character degree sets
    Authors: K Aziziheris, ML Lewis
    Year: 2013
    Citations: 5

  • Title: A direct product coming from a particular set of character degrees
    Authors: K Aziziheris
    Year: 2011
    Citations: 4

  • Title: Bounding the derived length for a given set of character degrees
    Authors: K Aziziheris
    Year: 2011
    Citations: 4

  • Title: Taketa’s theorem for relative character degrees
    Authors: K Aziziheris
    Year: 2013
    Citations: 3

  • Title: Variations on average character degrees and solvability
    Authors: N Ahanjideh, Z Akhlaghi, K Aziziheris
    Year: 2024
    Citations: 2

  • Title: Some character degree sets implying nonsolvability
    Authors: K Aziziheris
    Year: 2020
    Citations: 2

  • Title: Some nonsolvable character degree sets
    Authors: K Aziziheris
    Year: 2019
    Citations: 2

  • Title: Some solvable character degree sets
    Authors: K Aziziheris, MH Salmani Yengejeh
    Year: 2017
    Citations: 2

  • Title: Finite groups with a given set of character degrees
    Authors: F Shafiei, A Iranmanesh, ML Lewis, K Aziziheris
    Year: 2016
    Citations: 2

  • Title: Variations on average character degrees and solvability
    Authors: N Ahanjideh, Z Akhlaghi, K Aziziheris
    Year: 2022
    Citations: 1

Conclusion

Prof. Kamal Aziziheris embodies the qualities of an outstanding mathematician—intellectual rigor, global collaboration, and academic leadership. His groundbreaking contributions to Group Representation Theory have advanced the understanding of finite group structures, while his prolific publications in leading journals underscore his research impact. Equally dedicated to teaching, he has nurtured the growth of numerous graduate students, leaving a lasting influence on the mathematical community. His active participation in conferences, peer reviewing, and editorial contributions reflects his commitment to strengthening scholarly networks worldwide. With ongoing projects addressing significant conjectures and his readiness to explore interdisciplinary applications, Prof. Aziziheris’s future holds promise for further advancements in mathematics. His career achievements and dedication make him a deserving figure for prestigious recognitions such as the Best Researcher Award.

Md Saddam Hussain | Mathematical Physics | Best Researcher Award

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Dr. Md Saddam Hussain | Mathematical Physics | Best Researcher Award

Postdoctoral fellow at Zhejiang university of Technology, China

Dr. Md Saddam Hussain, Postdoctoral Fellow at the Institute of Theoretical Physics and Cosmology, Zhejiang University of Technology, China, is a distinguished researcher in cosmology, gravitational physics, and quantum field theory. He earned his Ph.D. in Physics from IIT Kanpur, following advanced studies at IIT Guwahati and Jamia Millia Islamia. His research focuses on dark energy, dark matter, and scalar field interactions, resulting in numerous publications in high-impact journals such as JCAP, Physical Review D, and Chinese Journal of Physics. Actively engaged in international collaborations across China, the USA, and Europe, he has presented at leading conferences and contributed to global research initiatives. With expertise in high-performance computing for cosmological modeling and a strong teaching record, Dr. Hussain continues to drive impactful advancements in theoretical physics.

Professional Profile

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Education

Dr. Md Saddam Hussain holds a Ph.D. in Physics from the Indian Institute of Technology Kanpur, where he specialized in cosmology and gravitational physics. He earned his M.Sc. in Physics from the Indian Institute of Technology Guwahati, focusing on general relativity and quantum field theory, and completed his B.Sc. (Hons.) in Physics from Jamia Millia Islamia, New Delhi, with minors in chemistry and mathematics. His early academic foundation was laid at Hamdard Public School, New Delhi, and High School Lagua, Katihar, Bihar, where he excelled in science and mathematics. Throughout his academic journey, Dr. Hussain demonstrated consistent excellence, developing a strong theoretical base complemented by computational skills. His educational background integrates rigorous coursework, research training, and active participation in advanced academic programs and summer schools.

Experience

Dr. Hussain is currently a Postdoctoral Fellow at the Institute of Theoretical Physics and Cosmology, Zhejiang University of Technology, China, working on advanced theoretical cosmology. His doctoral research at IIT Kanpur explored nonminimal coupling of fluids and scalar fields in cosmology under the guidance of Prof. Kaushik Bhattacharya. He has served extensively as a teaching assistant for various physics laboratory courses, mentoring undergraduate and postgraduate students in experiments ranging from modern physics to advanced quantum techniques. Dr. Hussain has presented research findings at prestigious international conferences across Asia and Europe, organized academic events such as the “Challenges of Modern Cosmology” meeting, and collaborated with researchers worldwide. His professional journey reflects a blend of research excellence, teaching dedication, and active involvement in fostering global scientific dialogue.

Research Interest

Dr. Hussain’s research interests lie at the intersection of cosmology, gravitational physics, and quantum field theory, with a particular focus on the dynamics of dark energy, dark matter, and scalar field interactions. He is deeply engaged in studying nonminimal couplings, dynamical system analyses, and observational constraints on cosmological models using the latest astronomical data. His work often integrates theoretical modeling with numerical simulations, employing advanced computational techniques to test and refine cosmological theories. He is also interested in exploring modified gravity theories, inflationary models, and the implications of quantum effects in the evolution of the universe. Through his research, Dr. Hussain aims to bridge the gap between high-level theoretical constructs and observational evidence, contributing to a more unified understanding of the cosmos.

Award and Honor

Dr. Hussain’s academic journey is marked by recognition through high-impact publications, international conference invitations, and successful collaborations with leading global research groups. While pursuing his Ph.D., he published multiple articles in reputed journals such as JCAP, Physical Review D, and Chinese Journal of Physics, many of which are indexed in Scopus and IEEE Xplore. His presentations at events like the Cosmology@CCSP conference, International Conference on Mathematical Modeling in Physical Sciences, and the “Cosmology in Miramare” program have earned commendations from peers and experts alike. He has also been entrusted with organizing scientific meetings, reflecting trust in his leadership within the research community. These achievements underline his growing reputation as an emerging expert in theoretical cosmology and a promising contributor to the advancement of modern physics.

Research Skill

Dr. Hussain possesses advanced research skills in theoretical modeling, numerical simulations, and high-performance computing. He is proficient in programming languages such as Python, C/C++, and Mathematica, and skilled in parallel computing techniques to optimize large-scale cosmological simulations. His expertise includes data analysis using observational datasets like Supernova, Hubble, and BAO measurements, as well as integration of MCMC algorithms for parameter estimation. He has implemented computational optimizations such as Cython integration to accelerate model performance. In addition, Dr. Hussain excels in scientific writing, peer-reviewed publishing, and delivering impactful presentations at global conferences. His ability to combine deep theoretical insights with computational rigor allows him to conduct cutting-edge research that aligns closely with contemporary challenges in cosmology and gravitational physics.

Publication Top Notes

  • Title: Dynamical stability of the k-essence field interacting nonminimally with a perfect fluid
    Authors: A. Chatterjee, S. Hussain, K. Bhattacharya
    Year: 2021
    Citations: 34

  • Title: Dynamical systems analysis of tachyon-dark-energy models from a new perspective
    Authors: S. Hussain, S. Chakraborty, N. Roy, K. Bhattacharya
    Year: 2023
    Citations: 27

  • Title: Dynamical stability in models where dark matter and dark energy are nonminimally coupled to curvature
    Authors: S. Hussain, A. Chatterjee, K. Bhattacharya
    Year: 2023
    Citations: 23

  • Title: Dynamical stability in presence of non-minimal derivative dependent coupling of k-essence field with a relativistic fluid
    Authors: K. Bhattacharya, A. Chatterjee, S. Hussain
    Year: 2023
    Citations: 22

  • Title: Ghost Condensates and Pure Kinetic k-Essence Condensates in the Presence of Field–Fluid Non-Minimal Coupling in the Dark Sector
    Authors: S. Hussain, A. Chatterjee, K. Bhattacharya
    Year: 2023
    Citations: 13

  • Title: Interacting models of dark energy and dark matter in Einstein scalar Gauss Bonnet gravity
    Authors: S. Hussain, S. Arora, Y. Rana, B. Rose, A. Wang
    Year: 2024
    Citations: 10

  • Title: Comprehensive study of k-essence model: dynamical system analysis and observational constraints from latest Type Ia supernova and BAO observations
    Authors: S. Hussain, S. Nelleri, K. Bhattacharya
    Year: 2025
    Citations: 9

  • Title: Stability analysis of warm quintessential dark energy model
    Authors: S. Das, S. Hussain, D. Nandi, R.O. Ramos, R. Silva
    Year: 2023
    Citations: 9

  • Title: Influence of feed levels on the growth of Lutjanus johni (Snapper) and Pomadasys kaakan (Drum)
    Authors: S.M. Hussain, G. Abbas
    Year: 1995
    Citations: 9

  • Title: Non-adiabatic particle production scenario in algebraically coupled quintessence field with dark matter fluid
    Authors: S. Hussain
    Year: 2024
    Citations: 4

  • Title: The nature of cosmological metric perturbations in presence of gravitational particle production
    Authors: K. Bhattacharya, A. Chatterjee, S. Hussain
    Year: 2022
    Citations: 4

  • Title: Biochemical composition of Lutjanus johni and Pomadasys kaakan reared in the tanks
    Authors: G. Abbas, S. Hussain
    Year: 1994
    Citations: 2

  • Title: Probing the Dynamics of Gaussian Dark Energy Equation of State Using DESI BAO
    Authors: S. Hussain, S. Arora, A. Wang, B. Rose
    Year: 2025
    Citations: 1

Conclusion

Dr. Md Saddam Hussain stands out as a dynamic and accomplished researcher whose work bridges theory, computation, and observation in cosmology. His solid academic foundation, extensive research experience, and strong international collaborations reflect his dedication to advancing the understanding of the universe’s fundamental properties. With a growing publication record in high-impact journals, expertise in modern computational techniques, and proven teaching and leadership capabilities, he is well-positioned to make transformative contributions to theoretical physics. Dr. Hussain’s future research aims to address some of the most pressing questions in cosmology while fostering interdisciplinary collaboration. His track record and vision make him not only deserving of recognition but also a valuable asset to the global scientific community.

Valeriy Demchenko | Applied Mathematics | Best Researcher Award

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Prof. Valeriy Demchenko | Applied Mathematics | Best Researcher Award

Professor at Leading Researcher Plastics Welding Department, E.O. Paton Electric Welding Institute of the National Academy of Sciences of Ukraine, Ukraine.

Prof. Valeriy Demchenko is a leading Ukrainian researcher specializing in macromolecular and polymer chemistry, with a strong focus on nanocomposites for biomedical and antimicrobial applications. Holding a Ph.D. in Physics and Mathematics and a Doctor of Sciences in Chemical Sciences, he currently serves as a Leading Researcher at the E.O. Paton Electric Welding Institute. Prof. Demchenko has led and contributed to numerous national research projects, authored high-impact publications in top-tier journals (Q1, Q2), and holds multiple patents in innovative polymer materials. He actively promotes science through public platforms and has played key roles in organizing scientific conferences. With his blend of academic excellence, research leadership, and real-world innovation, Prof. Demchenko is recognized as a dynamic and forward-thinking scientist driving impactful change in the fields of materials science and polymer chemistry.

Professional Profile

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Education

Prof. Valeriy Demchenko completed his undergraduate studies in Physics, Computer Science, and Astronomy at the National Pedagogical University named after M.P. Dragomanov. He earned his Ph.D. in Physics and Mathematics, specializing in Polymer Physics, from the Institute of Macromolecular Chemistry of the National Academy of Sciences (NAS) of Ukraine. He was awarded the Doctor of Sciences (Habilitation) in Chemical Sciences, with a specialization in Macromolecular Chemistry. His academic progression reflects a deep and consistent focus on polymer research and material sciences. He was granted the academic title of Associate Professor. Prof. Demchenko’s strong educational foundation, blending physical sciences with applied chemistry, has empowered his cutting-edge research in nanocomposites and biomedical materials.

Experience

Prof. Demchenko has progressive research experience in the fields of polymer chemistry and nanomaterials. Currently, he serves as a Leading Researcher at the E.O. Paton Electric Welding Institute. Previously, he worked as a Senior Researcher and Researcher at the Institute of Macromolecular Chemistry of NAS of Ukraine. His earlier roles included teaching astronomy and lecturing at the Cherkasy State Technological University. His experience spans academic instruction, industrial research, and national-level project leadership. He has managed multiple high-impact research projects, particularly in antimicrobial packaging, tissue-regenerative materials, and polymer composites. Prof. Demchenko’s versatile experience showcases his strong scientific leadership, mentorship, and innovation in real-world applications of polymer science.

Research Interest

Prof. Demchenko’s research interests center on macromolecular chemistry, nanocomposite materials, and biopolymer-based systems with specialized applications in healthcare, food packaging, and regenerative medicine. He focuses on the development of antimicrobial and antiviral materials, 3D-printable polymer nanocomposites, and functionalized biodegradable polymers using silver and copper nanoparticles. He is particularly invested in the design of polyelectrolyte complexes and metal-filled polymers for biomedical use. His work bridges materials science, nanotechnology, and biochemistry, with an emphasis on sustainability and public health impact. Through state-funded and collaborative projects, he explores innovations in smart materials and advanced polymer systems. Prof. Demchenko’s interdisciplinary approach and translational research outlook continue to drive significant scientific progress in modern polymer applications.

Award and Honor

Prof. Demchenko has earned notable recognition for his outstanding scientific work. He was awarded the Named Scholarship of the Verkhovna Rada of Ukraine for Young Scientists for his pioneering research in 3D-printed antimicrobial materials. He was also featured in the “Best Young Scientist of the Academy” initiative by the Council of Young Scientists of NAS of Ukraine. In addition to securing competitive national grants and leading multiple state-funded projects, his contributions have been validated through patents, keynote invitations, and editorial engagements. His leadership in organizing academic conferences and promoting scientific education further highlights his professional stature. These accolades underline his role as a forward-thinking researcher contributing meaningfully to both scientific advancement and societal benefit.

Research Skill

Prof. Demchenko possesses advanced expertise in polymer synthesis, nanocomposite engineering, metal nanoparticle integration, and characterization of functional materials. His skills include 3D printing technologies, materials testing, and formulation of biodegradable, antimicrobial polymers. He has hands-on experience with electron microscopy, spectroscopic analysis, and polymer processing. Additionally, he demonstrates strong project management, with successful leadership of multi-year state-funded research programs. His prolific output includes high-impact Q1/Q2 publications, multiple patents, and peer reviews for top international journals such as ACS Applied Biomaterials and Carbohydrate Polymers. His ability to bridge laboratory research with practical applications, coupled with strategic collaborations, positions him as a well-rounded scientist equipped to tackle complex interdisciplinary challenges.

Publication Top Notes

  • Title: Constant electric and magnetic fields effect on the structuring and thermomechanical and thermophysical properties of nanocomposites formed from pectin–Cu²⁺–polyethyleneimine
    Authors: V. Demchenko, V. Shtompel’, S. Riabov, E. Lysenkov
    Journal: Nanoscale Research Letters
    Year: 2015
    Citations: 21

  • Title: Nanostructurization and thermal properties of polyethylenes’ welds
    Authors: A. Galchun, N. Korab, V. Kondratenko, V. Demchenko, A. Shadrin, …
    Journal: Nanoscale Research Letters
    Year: 2015
    Citations: 35

  • Title: DC field effect on the structuring and thermomechanical and electric properties of nanocomposites formed from pectin—Cu²⁺—polyethyleneimine ternary
    Authors: V.L. Demchenko, V.I. Shtompel’, S.V. Riabov
    Journal: Polymer Science Series A
    Year: 2015
    Citations: 27

  • Title: Structural features and thermal characteristics of welded joints of technical polyethylenes
    Authors: A. Galchun, N. Korab, V. Kondratenko, V. Demchenko, A. Shadrin, …
    Journal: Polymer Journal
    Year: 2015
    Citations: 4

  • Title: Comparative analysis of the quality of plastic products formed by DLP and FDM 3D printing technologies
    Authors: O. Masiuchok, M. Iurzhenko, V. Demchenko, M. Korab
    Journal: Bulletin of Ternopil National Technical University
    Year: 2020
    Citations: 4

  • Title: Polylactide/carbon black segregated composites for 3D printing of conductive products
    Authors: O. Masiuchok, M. Iurzhenko, R. Kolisnyk, Y. Mamunya, M. Goddzierz, V. Demchenko, …
    Journal: Polymers
    Year: 2022
    Citations: 17

  • Title: Fabrication of polylactide composites with silver nanoparticles by sputtering deposition and their antimicrobial and antiviral applications
    Authors: V. Demchenko, Y. Mamunya, I. Sytnyk, M. Iurzhenko, I. Krivtsun, …
    Journal: Polymer International
    Year: 2025
    Citations: 3

  • Title: Antimicrobial and antiviral activity of nanocomposites based on polyelectrolyte complexes with silver nanoparticles
    Authors: V. Demchenko, …
    Journal: Mikrobiolohichnyi Zhurnal
    Year: 2024
    Citations: 1

  • Title: Development of a Mathematical Model for Predicting the Average Molten Zone Thickness of HDPE Pipes During Butt Fusion Welding
    Authors: D. Zeng, M. Iurzhenko, V. Demchenko
    Journal: Polymers, Volume 17 (14), Article 1932
    Year: 2025

  • Title: Structure, thermophysical, antimicrobial, and genotoxic properties of silver-containing nanocomposites film, obtained by sputtering deposition
    Authors: V.L. Demchenko, Y.P. Mamunya, M.V. Iurzhenko, S.M. Kobylinskyi, …
    Journal: Chemistry, Physics and Technology of Surface, Volume 16 (1), Pages 90–103
    Year: 2025

Conclusion

Prof. Valeriy Demchenko exemplifies scientific excellence through his consistent contributions to polymer chemistry and applied nanotechnology. With robust academic training, diverse research experience, and leadership in national and interdisciplinary projects, he stands as a transformative figure in materials science. His work addresses pressing global needs—from healthcare safety to sustainable packaging—via innovative polymer-based solutions. Recognized through competitive grants, patents, and scholarly output, he continues to impact both academia and industry. With a trajectory marked by innovation, collaboration, and outreach, Prof. Demchenko remains poised for further leadership in international research arenas and is a highly deserving candidate for prestigious scientific honors and awards.

Yajuan Sun | Computational Mathematics | Best Researcher Award

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Prof. Yajuan Sun | Computational Mathematics | Best Researcher Award

Researcher at Academy of Mathematics and Systems Science, CAS, China

Professor Yajuan Sun is a distinguished mathematician at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), specializing in geometric numerical methods for differential equations with applications in plasma physics, molecular dynamics, and soliton theory. With a Ph.D. from CAS and over two decades of academic excellence, she has led 14 major research projects, including national and international collaborations such as the ITER fusion project. Her 49+ peer-reviewed publications in top-tier journals, mentorship of numerous graduate students, and global academic engagements—spanning the UK, USA, Singapore, and Australia—reflect her influential contributions to both theory and applied science. Her innovative algorithms have been used in major fusion reactor simulations and were shortlisted for the ACM Gordon Bell Prize. Prof. Sun exemplifies leadership, innovation, and global impact in computational mathematics.

Professional Profile

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Education

Professor Yajuan Sun holds a Ph.D. in Mathematics from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), where she developed variational integrators under the guidance of Prof. Mengzhao Qin. Prior to that, she earned her M.S. in Mathematics from Inner Mongolia University, where she focused on nonlinear parabolic equations. Her academic journey began with a B.S. in Mathematics from Inner Mongolia Normal University. Her early research laid the foundation for a lifelong specialization in numerical methods and geometric integrators. These academic credentials from top Chinese institutions shaped her deep understanding of both theoretical and computational mathematics, enabling her to build a globally recognized career in numerical analysis, with a focus on preserving geometric structures in the solutions of differential equations.

Experience

Professor Sun’s academic career spans over two decades at the Chinese Academy of Sciences, where she currently serves as a Professor at the Academy of Mathematics and Systems Science. She began as a Postdoctoral Researcher and has steadily advanced through roles as Assistant and Associate Professor. Internationally, she has been a Visiting Scholar at prestigious institutions including the Isaac Newton Institute (UK), UCSD (USA), and the National University of Singapore. Her collaborations span Europe, Oceania, and Asia, reflecting a robust international presence. She has supervised numerous graduate and visiting students, served as a referee for reputed journals, and contributed to a range of scientific platforms. Her sustained dedication and interdisciplinary work have made her a key contributor to applied and theoretical research within global scientific communities.

Research Interest

Professor Yajuan Sun’s research lies in geometric numerical integration, focusing on the development of algorithms that preserve intrinsic structures in differential equations—such as symplectic, volume-preserving, and energy-conserving properties. She explores advanced numerical techniques for both ODEs and PDEs, using variational principles, Hamiltonian systems, and generating functions. Her work applies to complex systems such as plasma dynamics, molecular simulations, and electromagnetic field modeling. She integrates finite element methods with geometric approaches to solve large-scale, stiff problems arising from science and engineering. Her ongoing interests include adaptive schemes, multisymplectic theory, and numerical stability. The elegance of preserving physical laws in simulations is at the heart of her research, contributing both to theoretical advancement and real-world scientific modeling in fusion energy and particle dynamics.

Award and Honor

Professor Sun has received notable honors, including the Excellent Achievement Award in Natural Science and funding from the K.C. Wong Education Foundation for Excellent Female Scientists. She has led or participated in prestigious projects funded by the National Natural Science Foundation of China, the ITER Project, and international programs like the Royal Society’s cost-share exchange. Her work was integral to a simulation shortlisted for the ACM Gordon Bell Prize, one of the highest recognitions in high-performance computing. These accolades reflect her pioneering role in computational mathematics, the global relevance of her research, and her impact as a female leader in STEM. Her sustained excellence across theory, application, and mentorship has earned her respect in both Chinese and international scientific circles.

Research Skill

Professor Yajuan Sun excels in designing structure-preserving numerical algorithms for large-scale systems modeled by differential equations. She is proficient in symplectic and multisymplectic integrators, generating function techniques, Runge–Kutta methods, and volume-preserving schemes. Her computational expertise extends to adaptive time-stepping, Hamiltonian splitting, and hybrid solvers used in plasma and electromagnetic field modeling. She integrates theoretical rigor with practical algorithm design, validated through real-world simulations such as those of fusion reactors (EAST, CFETR). Her collaborative work across mathematics and physics showcases her ability to bridge domains using high-level programming, numerical modeling, and mathematical physics. She also reviews and edits scientific publications, mentors graduate research, and contributes to algorithmic theory in cutting-edge computational science.

Publication Top Notes

  • Title: Contact-PIC Numerical Methods for Simulating Vlasov–Poisson–Fokker–Planck Problem
    Authors: Yajuan Sun
    Year: 2022

  • Title: Numerical Analysis for a Class of Variational Integrators
    Authors: Yajuan Sun, et al.
    Year: 2025

  • Title: Geometric Integration for the Linear-Gradient System
    Authors: Yajuan Sun, et al.
    Year: 2025

  • Title: Hamiltonian Particle-in-Cell Methods for Vlasov–Poisson Equations
    Authors: Yajuan Sun, et al.
    Year: 2022
    Citations: 7

Conclusion

Professor Yajuan Sun stands out as a leading mathematician whose research bridges theoretical innovation and practical scientific impact. With an outstanding academic record, influential publications, and significant research grants, she has made enduring contributions to geometric numerical methods and their application in plasma physics and beyond. Her ability to integrate structure-preserving algorithms into simulations of complex physical systems has driven advancements in computational modeling. Through global collaborations, student mentorship, and editorial service, she contributes actively to the scientific community. With ongoing research in adaptive and energy-conserving numerical methods, Professor Sun is poised to further influence the future of scientific computing, making her an exemplary candidate for the Best Researcher Award and a role model in the mathematical sciences.

Badr Abou El Majd | Applied Mathematics | Mathematical Engineering Excellence Award

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Prof. Dr. Badr Abou El Majd | Applied Mathematics | Mathematical Engineering Excellence Award

Full Professor at Mohammed V University, Morocco

Dr. Badr Abou El Majd is a distinguished Professor of Applied Mathematics at Mohammed V University, Rabat, with extensive expertise in multidisciplinary optimization, shape design, AI-driven modeling, and computational engineering. Holding a Ph.D. from INRIA Sophia Antipolis and a Master’s from Pierre and Marie Curie University, his research spans aerospace, transportation, smart systems, and biomedical applications. He has authored over 80 peer-reviewed publications, edited scientific volumes, and holds several patents. As a leader in numerous international research projects and conferences, including EU Erasmus+ and IEEE events, Dr. Abou El Majd has demonstrated remarkable scientific leadership. His contributions to innovation, education, and cross-border collaboration are further recognized through awards like the Distinguished Scholar Award (2023–24), making him a pivotal figure in advancing research that bridges theory, technology, and real-world societal needs

Professional Profile

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Education

Dr. Badr Abou El Majd holds a Ph.D. in Applied Mathematics from INRIA Sophia Antipolis – Méditerranée, France (2007), where he specialized in hierarchical algorithms and game strategies for multidisciplinary optimization, with applications in aerospace design. His doctoral work was conducted in collaboration with Dassault Aviation and Piaggio Aero, demonstrating strong industrial-academic integration. He also earned a Master’s degree in Numerical Analysis from Pierre and Marie Curie University (UPMC – Paris 6), one of Europe’s leading institutions in mathematical sciences. His early academic path was marked by a strong foundation in computational mathematics, optimization, and numerical modeling. These formative years provided the analytical and algorithmic rigor that continues to define his research contributions across disciplines such as aerospace engineering, smart systems, and data-driven decision-making.

Experience

With over two decades of academic and research experience, Dr. Abou El Majd has held prominent roles in Morocco and internationally. He is currently a Full Professor at Mohammed V University, Rabat. Previously, he served as an Associate Professor at both the International University of Rabat and Hassan II University in Casablanca. His international exposure includes visiting and research positions at INRIA Lille, University of Lille, and Polytechnique Montréal. He also worked as a scientist researcher at École Centrale Paris and completed post-doctoral research at CNRS/ENSMA. He has led and coordinated large-scale research and tech-transfer projects involving multiple institutions, government bodies, and industry leaders. This broad experience has enabled him to seamlessly bridge academic theory, industrial application, and international collaboration in fields ranging from aerospace to smart agriculture.

Research Interests

Dr. Abou El Majd’s research is deeply rooted in applied mathematics and multidisciplinary optimization, with expansive interests spanning aerodynamic shape design, robust optimization, artificial intelligence, model reduction, decision-making systems, and digital twin frameworks. He actively explores how machine learning, game theory, and numerical methods can be applied to real-world engineering and societal problems. His work spans diverse domains including aerospace design, RFID networks, cognitive radio, smart agriculture, biomedical imaging, and manufacturing optimization. Through his research, he aims to solve high-dimensional, complex optimization problems while ensuring scalability and industrial relevance. He has recently focused on surrogate modeling, AutoML, and intelligent systems for healthcare diagnostics and infrastructure planning, reflecting a strong commitment to leveraging computational science for impactful, cross-disciplinary solutions.

Award and Honor

Dr. Abou El Majd’s contributions to science and innovation have earned him several prestigious honors. Most notably, he received the Distinguished Scholar Award (2023–24) from the Arab Fund for Economic and Social Development, in collaboration with the University of Lille—an acknowledgment of his outstanding research achievements and academic leadership. Earlier, his doctoral studies were supported by a competitive scholarship from Dassault Aviation and Piaggio Aero, underscoring the industrial relevance of his research. He has also secured major research grants from Erasmus+, CNRST Morocco, TUBITAK Turkey, and the OCP Foundation, amounting to several million dirhams. These accolades reflect not only the scientific merit of his work but also its strategic importance in fields such as transportation, defense, AI, and healthcare systems optimization.

Research Skills

Dr. Abou El Majd possesses a robust and diverse skill set spanning numerical optimization, algorithm design, scientific programming, and AI integration. He is proficient in developing multilevel optimization frameworks, parameterization techniques, and model reduction strategies. His capabilities extend to software architecture, cloud platform development, and AI-enhanced decision systems. He has implemented and applied methods like genetic algorithms, particle swarm optimization, and POD-based reduced-order modeling. His technical expertise is complemented by certifications in Business Intelligence (IBM), Big Data Analytics (Griffith University), and Artificial Intelligence (Accenture). His ability to lead multidisciplinary teams and integrate computational techniques with industrial challenges makes him an effective innovator and collaborator. He also brings strong experience in simulation, CFD, robust design, and real-time optimization across diverse technological sectors.

Publication Top Notes

  • Title: Calibration of POD Reduced‐Order Models Using Tikhonov Regularization
    Authors: L. Cordier, B. Abou El Majd, J. Favier
    Year: 2010
    Citations: 183

  • Title: Nested and Self-Adaptive Bézier Parameterizations for Shape Optimization
    Authors: J.A. Désidéri, B. Abou El Majd, A. Janka
    Year: 2007
    Citations: 90

  • Title: A Particle Swarm Optimization Based Algorithm for Primary User Emulation Attack Detection
    Authors: W.F. Fihri, Y. Arjoune, H. El Ghazi, N. Kaabouch, B. Abou El Majd
    Year: 2018
    Citations: 34

  • Title: Multilevel Strategies for Parametric Shape Optimization in Aerodynamics
    Authors: B. Abou El Majd, J.A. Désidéri, R. Duvigneau
    Year: 2008
    Citations: 28

  • Title: Deep Learning-Based Intrusion Detection System for Advanced Metering Infrastructure
    Authors: Z. El Mrabet, M. Ezzari, H. Elghazi, B.A. El Majd
    Year: 2019
    Citations: 24

  • Title: Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter
    Authors: Z.E. Mrabet, Y. Arjoune, H.E. Ghazi, B.A.A. Majd, N. Kaabouch
    Year: 2018
    Citations: 23

  • Title: Embedding Lattice Structures into Ship Hulls for Structural Optimization and Additive Manufacturing
    Authors: A. Armanfar, A.A. Tasmektepligil, R.T. Kilic, S. Demir, S. Cam, Y. Karafi, B.A. El Majd, et al.
    Year: 2024
    Citations: 20

  • Title: Bayesian Decision Model with Trilateration for Primary User Emulation Attack Localization in Cognitive Radio Networks
    Authors: W.F. Fihri, H. El Ghazi, N. Kaabouch, B.A. El Majd
    Year: 2017
    Citations: 20

  • Title: Homogenization of Periodic Structured Materials with Chiral Properties
    Authors: O. Ouchetto, B.A. El Majd, H. Ouchetto, B. Essakhi, S. Zouhdi
    Year: 2016
    Citations: 20

  • Title: Aerodynamic Shape Optimization Using a Full and Adaptive Multilevel Algorithm
    Authors: B. Abou El Majd, R. Duvigneau, J.A. Désidéri
    Year: 2006
    Citations: 20

  • Title: LSTM-Based Neural Network Architecture for Predicting the Nonlinear Dynamic Behavior of Functional Gradient Viscoelastic Porous Plates
    Year: 2025
    Citations: 1

  • Title: Robust Shape Optimization Using Artificial Neural Networks Based Surrogate Modeling for an Aircraft Wing
    Year: 2024
    Citations: 2

Conclusion

Dr. Badr Abou El Majd exemplifies the modern researcher—analytically rigorous, deeply interdisciplinary, and globally connected. With a rich academic background, impactful research portfolio, and broad leadership experience, he stands as a leading figure in applied mathematics and computational engineering. His ability to bridge theoretical models with industrial and societal needs—through projects in aerospace, healthcare, and smart systems—demonstrates both vision and practical utility. Through international collaborations, patents, high-impact publications, and mentorship roles, he continues to shape emerging research frontiers. His blend of technical depth, strategic leadership, and commitment to innovation make him not only a deserving recipient of high research honors but also a catalyst for future scientific and technological advancements in global contexts.

Khaled Mehrez | Complex Analysis | Best Researcher Award

Published on by Math Scientist

Prof. Khaled Mehrez | Complex Analysis | Best Researcher Award

Associate Professor at University of Sfax, Tunisia

Dr. Khaled Mehrez is an accomplished Associate Professor of Mathematics at the Kairouan Preparatory Institute for Engineering Studies, University of Kairouan, Tunisia. With a Ph.D. from University Tunis El Manar (2017) and a habilitation in Mathematics (2023), his research spans special functions, harmonic analysis, and geometric function theory. He has published over 50 papers in prestigious journals such as Applied Mathematics and Computation, Integral Transforms and Special Functions, and The Ramanujan Journal. Dr. Mehrez is a dedicated peer reviewer for over 30 international journals and actively collaborates with renowned researchers worldwide. His contributions reflect a blend of theoretical depth and applied relevance. Through teaching, publication, and editorial service, he has significantly advanced mathematical research and is widely recognized for his scholarly impact in the global academic community.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Khaled Mehrez’s academic journey is deeply rooted in mathematical sciences, beginning with a Bachelor’s degree in Mathematics from the Faculty of Sciences of Bizerte, University of Carthage in 2006. He followed this with a Master’s in Mathematics from the same institution in 2009, further developing his analytical and theoretical foundations. He earned his Ph.D. in Mathematics from the University Tunis El Manar in 2017, focusing on advanced mathematical functions and inequalities. His academic path culminated in a prestigious Habilitation in Mathematics in 2023 from the Kairouan Preparatory Institute for Engineering Studies. This progression reflects his relentless pursuit of academic excellence and subject mastery. Each milestone contributed to shaping his expertise in special functions, harmonic analysis, and applied mathematics, laying the groundwork for a prolific research and academic career.

Experience

Dr. Khaled Mehrez has accumulated over 15 years of teaching and academic service across various Tunisian universities. He began his career as a Contract Assistant at the Preparatory Institute for Engineering Studies of Monastir (2009–2013), later serving as Assistant at the Higher Institute of Applied Sciences and Technologies of Kasserine (2013–2020). From 2020 to 2024, he held the position of Assistant Professor at the Kairouan Preparatory Institute for Engineering Studies and was promoted to Associate Professor in 2024. Throughout his academic journey, he has taught and mentored hundreds of engineering students in foundational and advanced mathematics. His experience spans curriculum development, student research supervision, and academic leadership, making him a respected figure in higher education. Dr. Mehrez’s dedication to teaching complements his robust research portfolio, ensuring a balanced and impactful academic presence.

Research Interest

Dr. Mehrez’s research interests are centered around special functions and their applications in engineering and applied mathematics. His work explores complex functions such as the Mittag-Leffler, Fox-Wright, and Volterra functions, all of which are essential in fractional calculus and theoretical physics. He also delves into harmonic analysis, focusing on Dunkl and Weinstein theories, as well as geometric function theory, where he investigates univalent and convex functions, subordination, and functional inequalities. His research bridges pure mathematical theory with real-world applications in signal processing, probability, and complex analysis. By pushing boundaries in these intricate fields, Dr. Mehrez contributes to both theoretical advancements and practical mathematical tools used across engineering and science. His interdisciplinary approach reflects a dynamic and evolving interest in high-impact, problem-driven mathematical research.

Award and Honor

Dr. Khaled Mehrez’s CV does not list specific named awards, his academic and research reputation stands as a clear testament to his scholarly distinction. He has been repeatedly recognized through international collaborations with highly cited scholars, such as H.M. Srivastava and P. Agarwal, and through invitations to review for over 30 renowned mathematical journals, including Journal of Inequalities and Applications, Positivity, and Applied Mathematics and Computation. His promotion to Associate Professor in 2024 also reflects institutional recognition of his excellence in teaching and research. Moreover, his Habilitation in Mathematics, earned in 2023, is itself a significant academic honor, denoting a high level of scholarly independence and expertise. These honors underline his respected status in the global mathematics research community and position him as a leading academic in his field.

Publication Top Notes

  • Title: New Hermite–Hadamard type integral inequalities for convex functions and their applications
    Authors: K. Mehrez, P. Agarwal
    Year: 2019
    Citations: 118

  • Title: Certain Hermite–Hadamard inequalities for logarithmically convex functions with applications
    Authors: S. Jain, K. Mehrez, D. Baleanu, P. Agarwal
    Year: 2019
    Citations: 57

  • Title: Chebyshev type inequalities via generalized fractional conformable integrals
    Authors: K.S. Nisar, G. Rahman, K. Mehrez
    Year: 2019
    Citations: 50

  • Title: New integral representations for the Fox–Wright functions and its applications
    Authors: K. Mehrez
    Year: 2018
    Citations: 42

  • Title: Some families of generalized Mathieu-type power series, associated probability distributions and related functional inequalities involving complete monotonicity and log-convexity
    Authors: Z. Tomovski, K. Mehrez
    Year: 2016
    Citations: 37

  • Title: Turán type inequalities for classical and generalized Mittag-Leffler functions
    Authors: K. Mehrez, S.M. Sitnik
    Year: 2018
    Citations: 34

  • Title: Functional inequalities for the Mittag–Leffler functions
    Authors: K. Mehrez, S.M. Sitnik
    Year: 2017
    Citations: 34

  • Title: Proofs of some conjectures on monotonicity of ratios of Kummer, Gauss and generalized hypergeometric functions
    Authors: S.M. Sitnik, K. Mehrez
    Year: 2016
    Citations: 34

  • Title: Some geometric properties of a class of functions related to the Fox–Wright functions
    Authors: K. Mehrez
    Year: 2020
    Citations: 31

  • Title: On monotonicity of ratios of some q-hypergeometric functions
    Authors: K. Mehrez, S.M. Sitnik
    Year: 2016
    Citations: 31

  • Title: Functional inequalities for the Fox–Wright functions
    Authors: K. Mehrez, S.M. Sitnik
    Year: 2019
    Citations: 28

  • Title: Geometric properties of a certain class of Mittag–Leffler-type functions
    Authors: H.M. Srivastava, A. Kumar, S. Das, K. Mehrez
    Year: 2022
    Citations: 27

Conclusion

Dr. Khaled Mehrez exemplifies academic excellence, research productivity, and scholarly leadership in the field of mathematics. With a solid educational foundation, long-standing teaching experience, and an internationally recognized research record, he has significantly advanced the understanding of special functions and related mathematical theories. His publications in Scopus and Q1-ranked journals, coupled with his role as a reviewer for major mathematical outlets, affirm his global impact and peer recognition. As a mentor, author, and thought leader, Dr. Mehrez continues to contribute meaningfully to both theoretical and applied mathematics. His career trajectory reflects not only a history of achievement but also a future rich with potential for greater research innovation and academic influence. He stands as a model candidate for prestigious honors like the Best Researcher Award.