Sabre Kais | Information Theory | Best Researcher Award

Posted on 24/05/202524/05/2025 by Math Scientist

Prof. Dr. Sabre Kais | Information Theory | Best Researcher Award

Goodnight Distinguished Chair in Quantum Computing at North Carolina State University, United States

Prof. Dr. Sabre Kais is a distinguished scholar in quantum information science, theoretical chemistry, and quantum computing. He serves as a Professor of Chemistry at Purdue University and leads the Quantum Information Science Group. 🧪🔬 His pioneering research focuses on quantum phase transitions, entanglement, and applying quantum algorithms to solve complex chemical problems. With over 250 peer-reviewed publications and multiple prestigious awards, including fellowships from the American Physical Society and the American Association for the Advancement of Science, he has significantly advanced interdisciplinary science. 📚🌐 As a dedicated educator and mentor, Prof. Kais continues to shape future leaders in quantum technologies while spearheading collaborations across physics, chemistry, and computer science. His visionary work drives innovation at the intersection of theory and application in emerging quantum fields. 💡⚛️

Professional Profile

Education 🎓📘

Prof. Dr. Sabre Kais earned his Ph.D. in Chemical Physics from the University of California, Berkeley, where he laid the foundation for his career in theoretical and quantum chemistry. Prior to that, he completed his undergraduate studies in Chemistry with honors, showcasing early aptitude in mathematics and physics. His academic training was deeply rooted in interdisciplinary approaches, enabling him to bridge concepts from chemistry, physics, and computer science. This educational background equipped him with a unique ability to investigate complex quantum systems and foster innovative solutions in quantum computation and information theory. 📚💡 His deep commitment to education continues through curriculum development and mentoring, nurturing future leaders in quantum science and technology.

Professional Experience 🧪👨‍🏫

Prof. Kais is a full professor at Purdue University, where he leads the Quantum Information Science Group. He has held visiting positions and collaborative appointments at premier research institutions worldwide. 🏛️🌍 His career spans over three decades of teaching, supervising graduate students, and conducting frontier research. At Purdue, he is also affiliated with the Department of Physics and the Department of Computer Science, reflecting his truly interdisciplinary approach. He has served on editorial boards, national review panels, and has contributed to shaping quantum education policy. His professional journey is marked by leadership in large-scale collaborative research projects, including NSF and DOE-funded initiatives that focus on quantum algorithms and simulations. 🧠🖥️ His rich experience reflects a commitment to advancing both academia and cutting-edge quantum technology.

Research Interests ⚛️🔬

Prof. Kais’s research spans quantum computing, quantum information, theoretical chemistry, and many-body systems. His work focuses on quantum phase transitions, quantum entanglement, and the application of quantum algorithms to chemical problems. 🧬🧠 He is particularly interested in solving classically intractable problems using quantum resources, including simulating molecular structures, reaction dynamics, and quantum control mechanisms. He also explores quantum machine learning and quantum chaos, positioning himself at the frontier of quantum science. 🔍🧑‍🔬 Prof. Kais integrates advanced mathematical techniques with physical insights, enabling breakthroughs in quantum simulations. His research bridges theory and practical quantum computation, aiming to influence next-generation quantum technologies and real-world applications in chemistry, materials science, and drug discovery.

Awards and Honors 🏅🎖️

Prof. Kais has received numerous prestigious awards recognizing his excellence in research and scientific contributions. He is a Fellow of the American Physical Society (APS) and the American Association for the Advancement of Science (AAAS), honors bestowed on scientists with exceptional achievements. 🌟🔬 His accolades include the Purdue University Research Excellence Award, NSF CAREER Award, and multiple keynote speaker invitations at top international conferences. His distinguished record of publication and leadership in quantum research has earned him recognition as a global thought leader in quantum chemistry and computing. 📜🌍 These honors reflect both the depth of his scientific impact and his dedication to advancing interdisciplinary research at the intersection of chemistry, physics, and quantum information science.

Research Skills 💻

Prof. Kais possesses a comprehensive set of research skills, including quantum algorithm design, numerical simulations, mathematical modeling, and quantum theory development. He is proficient in quantum programming frameworks and high-performance computing, applying them to model atomic and molecular systems. 🧠🧮 His interdisciplinary capabilities enable him to tackle problems across chemistry, physics, and computer science. He demonstrates expertise in quantum entanglement analysis, phase transition modeling, and information-theoretic approaches to molecular dynamics. 🧪🧾 His strong analytical skills, combined with an ability to integrate theory with computation, make him a leader in quantum information science. He continually evolves his technical toolbox to adapt to new challenges and collaborates across domains to foster innovation.

Publications Top Notes

Title: Revealing the role of organic cations in hybrid halide perovskite CH3NH3PbI3
Authors: C. Motta; F. El-Mellouhi; S. Kais; N. Tabet; F. Alharbi; S. Sanvito
Year: 2015
Citations: 740
Source: Nature Communications
Title: Qudits and high-dimensional quantum computing
Authors: Y. Wang; Z. Hu; B.C. Sanders; S. Kais
Year: 2020
Citations: 521
Source: Frontiers in Physics
Title: Reduced-density-matrix mechanics
Authors: A.J. Coleman
Year: 2007
Citations: 392
Source: Book
Title: Manipulation of molecules with electromagnetic fields
Authors: M. Lemeshko; R.V. Krems; J.M. Doyle; S. Kais
Year: 2013
Citations: 353
Source: Molecular Physics
Title: Theoretical limits of photovoltaics efficiency
Authors: F.H. Alharbi; S. Kais
Year: 2015
Citations: 290
Source: Renewable and Sustainable Energy Reviews
Title: Quantum algorithm and circuit design solving the Poisson equation
Authors: Y. Cao; A. Papageorgiou; I. Petras; J. Traub; S. Kais
Year: 2013
Citations: 249
Source: New Journal of Physics
Title: Quantum annealing for prime factorization
Authors: S. Jiang; K.A. Britt; A.J. McCaskey; T.S. Humble; S. Kais
Year: 2018
Citations: 243
Source: Scientific Reports
Title: Quantum machine learning for electronic structure calculations
Authors: R. Xia; S. Kais
Year: 2018
Citations: 204
Source: Nature Communications

Title: Application of quantum-inspired tensor networks to optimize federated learning systems
Authors: A.S. Bhatia, Amandeep Singh; M.K. Saggi, Mandeep Kaur; S. Kais, Sabre
Year: 2025
Source: Quantum Machine Intelligence
Title: Open-quantum-system simulation through exploiting noise on quantum computers
Authors: S. Kais, Sabre; D.A. Mazziotti, David A.
Year: 2025
Source: Physical Review A
Title: Entropy-Assisted Quality Pattern Identification in Finance
Authors: R. Gupta, Rishabh; S. Gupta, Shivam; J. Singh, Jaskirat; S. Kais, Sabre
Year: 2025
Source: Entropy
Title: Quantum Algorithms and Applications for Open Quantum Systems
Authors: L.H. Delgado-Granados, Luis H.; T.J. Krogmeier, Timothy J.; L.A.M. Sager-Smith, Lee Ann M.; K. Head-Marsden, Kade; D.A. Mazziotti, David A.
Year: 2025
Citations: 2
Source: Review Article
Title: Refined phase diagram for a spin-1 system exhibiting a Haldane phase
Authors: M. Mousa, Mohamad; B. Wehefritz-Kaufmann, Birgit; S. Kais, Sabre; S.X. Cui, Shawn Xingshan; R.M. Kaufmann, Ralph M.
Year: 2025
Source: Physical Review B
Title: Designing Variational Ansatz for Quantum-Enabled Simulation of Non-Unitary Dynamical Evolution – An Excursion into Dicke Superradiance
Authors: S. Shivpuje, Saurabh; M. Sajjan, Manas; Y. Wang, Yuchen; Z. Hu, Zixuan; S. Kais, Sabre
Year: 2025
Citations: 1
Source: Advanced Quantum Technologies
Title: The Qubit Information Logic Theory for Understanding Multi-Qubit Entanglement and Designing Exotic Entangled States
Authors: Z. Hu, Zixuan; S. Kais, Sabre
Year: 2025
Source: Annalen der Physik
Title: Experimental test of generalized multipartite entropic uncertainty relations
Authors: Z. Wang, Zhaoan; B. Xie, Bofu; F. Ming, Fei; G. Guo, Guangcan; S. Kais, Sabre
Year: 2024
Citations: 1
Source: Physical Review A
Title: Entropy corrected geometric Brownian motion
Authors: R. Gupta, Rishabh; E.A. Drzazga-Szczȩśniak, Ewa A.; S. Kais, Sabre; D. Szczȩśniak, Dominik
Year: 2024
Citations: 5
Source: Scientific Reports
Title: Psitrum: An open source simulator for universal quantum computers
Authors: M.Y. Alghadeer, Mohammed Y.; E. Aldawsari, Eid; R. Selvarajan, Raja; S. Kais, Sabre; F.H. Alharbi, Fahhad H.
Year: 2024
Source: IET Quantum Communication.

Conclusion 🌟📌

Prof. Dr. Sabre Kais is a trailblazer in the realm of quantum science, seamlessly blending theoretical expertise with practical innovation. His contributions span across education, research, and global scientific leadership, making him a respected figure in multiple disciplines. ⚛️🌐 Through a career marked by scholarly excellence, mentorship, and interdisciplinary collaboration, he continues to shape the future of quantum computing and molecular science. His visionary outlook, combined with a tireless commitment to knowledge creation and dissemination, positions him at the forefront of emerging quantum technologies. 📈🔭 Prof. Kais’s legacy is one of bridging disciplines to unravel the complexities of the quantum world and inspire future generations of scientists.

Ahmed Aberqi | Differential Equations | Best Researcher Award

Posted on 24/05/202524/05/2025 by Math Scientist

Prof. Ahmed Aberqi | Differential Equations | Best Researcher Award

Associate professor at Sidi Mohamed Ben Abdellah University/National School of Applied Sciences, Morocco

Prof. Ahmed Aberqi 🎓, a distinguished scholar at the National School of Applied Sciences of Fez, Morocco, specializes in nonlinear analysis, partial differential equations, optimal control, and fractional calculus. With a Ph.D. and habilitation in mathematics, his extensive academic portfolio includes impactful research publications 📚, guest editorships for renowned journals 📰, and leadership roles in applied sciences and emerging technologies 💡. As an educator, he has taught across diverse engineering and mathematics disciplines, nurturing future innovators 🧠. His contributions to AI and big data applications in smart systems underscore his commitment to interdisciplinary innovation 🤖📊. With expertise in high-dimensional statistics, operator theory, and control systems, Prof. Aberqi exemplifies excellence in mathematical research and applied science integration 🌐🔬.

Professional Profile

Education 🎓

Prof. Ahmed Aberqi holds a Ph.D. in Mathematics and a Habilitation à Diriger des Recherches (HDR), affirming his high-level academic competence in guiding doctoral research. He completed his studies at prestigious institutions, where he built a strong foundation in nonlinear analysis, partial differential equations, and control theory. His education reflects a blend of rigorous training, deep theoretical knowledge, and applied mathematical insight. He consistently pursues academic growth through workshops, seminars, and international collaborations 📖🌍. His academic journey has been shaped by a commitment to excellence and an enduring passion for learning. These qualifications position him as a respected educator and researcher in both engineering and mathematics domains 🧠📐.

Professional Experience 💼

Prof. Ahmed Aberqi serves as a professor at the National School of Applied Sciences, Fez (Morocco), where he has taught numerous undergraduate and postgraduate courses in engineering mathematics, systems theory, and optimization 🏫📊. With a robust background in academic leadership, he has contributed to curriculum development and research supervision. He has also held editorial roles in scientific journals, coordinated multidisciplinary research projects, and participated in international conferences 🌐✍️. His extensive experience extends to mentoring doctoral students and collaborating with institutions worldwide. Prof. Aberqi’s professional path is marked by intellectual rigor, impactful contributions, and a forward-looking vision of integrating mathematics with real-world challenges 🔬🤝.

Research Interest 🔍

Prof. Aberqi’s research spans nonlinear analysis, optimal control, partial differential equations, and fractional calculus 🔢📉. His recent work explores artificial intelligence, big data analytics, and smart systems, revealing a strong inclination towards interdisciplinary applications of mathematics 🤖📊. He is particularly interested in dynamic systems governed by fractional operators, mathematical modeling, and stability analysis. His studies in high-dimensional statistics and operator theory have practical implications in modern engineering and technological advancements. He actively contributes to solving real-world problems using advanced mathematical tools, making his research relevant to today’s rapidly evolving scientific landscape 🌐📈. Through his work, he bridges theoretical mathematics with practical innovations.

Awards and Honors 🏅

Prof. Ahmed Aberqi has received multiple accolades in recognition of his academic and research achievements. His distinguished contributions to applied mathematics and control theory have earned him invitations to serve as a keynote speaker and guest editor in renowned international journals and conferences 🎤📘. He is honored for his interdisciplinary research, especially for integrating AI and smart technology into mathematical frameworks. His excellence in mentorship and scholarly publishing further solidifies his reputation as a thought leader in applied sciences 🧠🌟. These honors underscore his enduring influence in the global academic community and his commitment to mathematical advancement and innovation.

Research Skills 🧪

Prof. Aberqi exhibits outstanding proficiency in mathematical modeling, fractional differential equations, stability theory, and optimal control 🧮🔁. His technical toolkit includes numerical simulations, system identification, AI-based optimization algorithms, and data-driven problem solving 🤖📊. He is skilled in using computational platforms to test theoretical outcomes and extend mathematical theories to practical systems. His ability to lead collaborative research, write scholarly articles, and edit scientific content for high-impact journals highlights his organizational and analytical skills. His cross-disciplinary fluency empowers him to integrate advanced mathematics into engineering, physics, and data science domains seamlessly ⚙️📐. His research skills reflect depth, versatility, and innovation.

Publications Top Notes

Title: Blow-up and global existence for a new class of parabolic p(x,⋅)-Kirchhoff equation involving double phase operator
Authors: A. Aberqi, P.D. Nguyen, A. Ouaziz, M.A. Ragusa
Year: 2025
Citations: 3
Source: Journal of Mathematical Analysis and Applications, Vol. 542(2), Article 128807
Title: Infinitely many solutions to a Kirchhoff-type equation involving logarithmic nonlinearity via Morse’s theory
Authors: A. Ouaziz, A. Aberqi
Year: 2024
Citations: 3
Source: Boletín de la Sociedad Matemática Mexicana, Vol. 30(1), Article 10
Title: Existence and L∞-estimates for non-uniformly elliptic equations with non-polynomial growths
Authors: O. Benslimane, A. Aberqi, M. Elmassoudi
Year: 2023
Citations: 3
Source: Filomat, Vol. 37(16), pp. 5509–5522
Title: Existence results for some nonlinear degenerate problems in the anisotropic spaces
Authors: M. Boukhrij, B. Aharrouch, J. Bennouna, A. Aberqi
Year: 2021
Citations: 3
Source: Boletim da Sociedade Paranaense de Matemática, Vol. 39, pp. 53–66
Title: Non-uniformly degenerated parabolic equations with L1-data
Authors: A. Aberqi, J. Bennouna, M. Hammoumi
Year: 2019
Citations: 3
Source: AIP Conference Proceedings, Vol. 2074(1)
Title: On some nonlinear hyperbolic p(x,t)-Laplacian equations
Authors: T. Ahmedatt, A. Aberqi, A. Touzani, C. Yazough
Year: 2018
Citations: 3
Source: Journal of Applied Analysis, Vol. 24(1), pp. 55–69
Title: Nonlinear elliptic equations with measure data in Orlicz spaces
Authors: A. Aberqi, J. Bennouna, M. Elmassoudi
Citations: 3
Title: Singular fractional double-phase problems with variable exponent via Morse’s theory
Authors: A. Ouaziz, A. Aberqi
Year: 2024
Citations: 2
Source: Filomat, Vol. 38(21), pp. 7579–7595
Title: On some doubly nonlinear system in inhomogeneous Orlicz spaces
Authors: A. Aberqi, J. Bennouna, M. Elmassoudi
Year: 2018
Citations: 2
Source: Electronic Journal of Mathematical Analysis and Applications, Vol. 6(1), pp. 156–173
Title: Infinitely Many Solutions to the Neumann Problem for Elliptic systems in Anisotropic Variable Exponent Sobolev Spaces
Authors: A. Ahmed, M.S.B.E. Vall, A. Touzani, A. Benkirane
Year: 2017
Citations: 2
Source: Marrocain Journal of Pure and Applied Analysis, Vol. 3, pp. 70–82
Title: Existence result for a class of doubly nonlinear parabolic systems
Authors: A. Aberqi, J. Bennouna, H. Redwane
Year: 2014
Citations: 2
Source: Applied Mathematics (Warsaw), pp. 1–11
Title: Approximate controllability of fractional differential systems with nonlocal conditions of order q∈(1, 2) in Banach spaces
Authors: Z. Ech-chaffani, A. Aberqi, T. Karite
Year: 2024
Citations: 1
Title: Singular fractional double-phase problems with variable exponent via Morse’s theory
Authors: A. Aberqi, A. Ouaziz
Year: 2023
Citations: 1
Source: arXiv
Title: Stabilization of semilinear systems in Banach space
Authors: A. El Alami, Z. Echchaffani, A. Aberqi
Year: 2023
Citations: 1
Source: Honored Guests, p. 81
Title: Discrete solution for a nonlinear parabolic equation with diffusion terms in Musielak spaces
Authors: A. Aberqi, M. Elmassoudi, M. Hammoumi
Year: 2021
Citations: 1
Source: arXiv
Title: Sub-supersolution method for nonlinear elliptic equations with non-coercivity in divergent form in Orlicz spaces
Authors: A. Ahmed, B. Jaouad, E. Mhamed
Year: 2019
Citations: 1
Source: AIP Conference Proceedings, Vol. 2074(1)
Title: Controllability for impulsive neutral semilinear evolution systems with nonlocal conditions
Authors: A. Aberqi, Z. Ech-chaffani, T. Karite
Year: 2025
Source: Journal of Dynamics and Games
Title: Blow-up and global existence of solutions for a new class of parabolic Kirchhoff equation involving nonlinearity logarithmic
Authors: A. Aberqi, A. Ouaziz
Year: 2025
Source: Journal of Pseudo-Differential Operators and Applications, Vol. 16(1), pp. 1–33
Title: Investigation into double-phase elliptic problems with boundary conditions, incorporating a logarithmic convection term
Authors: A. El Ouardani, A. Aberqi, O. Benslimane, M. El Massoudi
Year: 2025
Source: Journal of Pseudo-Differential Operators and Applications, Vol. 16(1), pp. 1–21
Title: On Neumann Systems with Singularity Applied in Quenching Phenomena in Musielak Spaces
Authors: A. Elouardani, A. Aberqi, M. Elmassoudi
Year: 2025
Source: Nonlinear Dynamics & Systems Theory, Vol. 25(1)
Title: Double Phases Problems: Insight and new trends
Authors: A. Aberqi
Year: 2024
Source: 5th International Conference on Applied Mathematics, p. 112
Title: Approximate Controllability of Fractional Differential Systems with Nonlocal Conditions of Order
Authors: A. Aberqi, Z. Ech-chaffani, T. Karite
Year: 2024
Source: arXiv (arXiv:2411.10766)
Title: Fractional Caputo Operator and Takagi–Sugeno Fuzzy Modeling to Diabetes Analysis
Authors: E. Mustapha, E.O. Abdellatif, E.M. Karim, A. Ahmed
Year: 2024
Source: Symmetry, Vol. 16(10), Article 1395
Title: Double Phase Problem with Singularity and Homogeneous Choquard Type Term
Authors: O. Benslimane, A. Aberqi, M. Elmassoudi
Year: 2024
Source: Journal of Applied Analysis & Computation, Vol. 14(4), pp. 2109–2124
Title: Approximate controllability of fractional differential systems with nonlocal conditions of order q∈(1, 2) in Banach spaces
Authors: Z. Ech‐chaffani, A. Aberqi, T. Karite
Year: 2024
Source: Asian Journal of Control

Conclusion 🧭

Prof. Ahmed Aberqi stands as a visionary academic whose multifaceted expertise in mathematics, engineering, and technology drives impactful innovation 🌟📚. His scholarly contributions, teaching excellence, and research leadership collectively elevate the field of applied mathematics. From fractional calculus to AI integration, his work reflects a deep commitment to solving modern challenges through mathematical insight 🔬🤝. With a strong international presence, numerous publications, and mentorship roles, he continues to shape the next generation of scientists and engineers. Prof. Aberqi exemplifies academic rigor, collaborative spirit, and intellectual curiosity, making him a key contributor to contemporary mathematical science and interdisciplinary progress 🌐🎓.

Yangshanshan Liu | Applied Mathematics | Best Researcher Award

Posted on 22/05/202522/05/2025 by Math Scientist

Dr. Yangshanshan Liu | Applied Mathematics | Best Researcher Award

Post Doc at Nankai University, China

Dr. Yangshanshan Liu 🎓 is a postdoctoral researcher at the Chern Institute of Mathematics, Nankai University, specializing in Celestial Mechanics, Central Configurations, and Hamiltonian Systems 🌌. With a Ph.D. and Master’s degree from Sichuan University under the guidance of Prof. Shiqing Zhang, her work bridges mathematical theory and computational dynamics. She has published in high-impact journals such as SIAM J. Appl. Dyn. Syst. and J. Geom. Phys. 📚. A former award-winning high school math teacher 🧑‍🏫, Dr. Liu combines educational dedication with scholarly excellence. Her presentations at leading conferences like ICMS and AIMS 2024 🌍 reflect growing international recognition. With a passion for algebraic geometry and programming 💻, Dr. Liu is a rising researcher contributing meaningfully to the global mathematics community through both innovation and outreach.

Professional Profile

Scopus Profile

Education 🎓

Dr. Yangshanshan Liu holds a Ph.D. and Master’s degree in Mathematics from Sichuan University, China, where she studied under Prof. Shiqing Zhang. Her doctoral thesis focused on Central Configurations in the Newtonian n-Body Problems with Homogeneous Potentials, while her master’s research addressed symmetric configurations in the planar five-body problem. She earned her Bachelor of Science in Mathematics from Liaoning University, with a thesis exploring stock index volatility using the ARCH model 📈. Her academic journey reflects a strong foundation in both pure and applied mathematics, complemented by analytical and computational rigor. Dr. Liu’s consistent academic excellence is marked by scholarships and recognition at all levels of her education, establishing her as a highly qualified and promising researcher in the mathematical sciences 📘.

Professional Experience 💼

Dr. Liu is currently a postdoctoral researcher at the prestigious Chern Institute of Mathematics, Nankai University, under the supervision of Prof. Chaofeng Zhu. Since July 2023, she has actively contributed to theoretical research in dynamical systems and celestial mechanics. Prior to her academic career, she served as a Senior High School Mathematics Teacher at Rainbow Education (2010–2017), where she was recognized as “Outstanding Teacher of the Year” 🏆. Her professional path demonstrates a rare blend of teaching excellence and deep research engagement. From mentoring students to contributing original findings to high-level mathematical problems, Dr. Liu has shown versatility, leadership, and an unwavering commitment to the dissemination and advancement of mathematical knowledge at every stage of her career.

Research Interests 🔍

Dr. Liu’s research focuses on Celestial Mechanics, particularly the Newtonian n-Body Problem, Central Configurations, and Hamiltonian Systems. She also delves into Index Theory and Computational Algebraic Geometry, contributing both theoretical and computational insights. Her interdisciplinary approach connects classical mechanics with modern mathematical tools, such as programming and symbolic computation 💻. Dr. Liu aims to explore how geometric and topological methods can enrich our understanding of dynamical systems in higher-dimensional spaces. Her interests extend to practical applications and numerical simulations, facilitating broader applicability of abstract mathematical theories. This versatile research scope not only reinforces the depth of her expertise but also signals her ambition to solve complex real-world and theoretical problems in mathematical physics and geometry 🌌.

Awards and Honors 🏅

Dr. Liu has been recognized throughout her academic journey with numerous scholarships and awards. She received annual Ph.D. and Master’s scholarships from Sichuan University (2017–2023), and was named an Outstanding Graduate Student in 2020. She earned the Liu Yingming Scholarship in 2022, a notable recognition within the School of Mathematics. During her undergraduate years at Liaoning University, she received continuous scholarship support from 2006 to 2010 for academic excellence 📚. Her earlier career in education was equally decorated, earning her the “Outstanding Teacher of the Year” award in 2015 at Rainbow Education. These accolades reflect her diligence, talent, and commitment to both learning and teaching, solidifying her reputation as a dedicated and accomplished figure in the field of mathematics 🏆.

Research Skills 🧠

Dr. Liu possesses strong research skills in mathematical modeling, analytical computation, and dynamical systems. She is proficient in programming and computational algebraic geometry, allowing her to analyze and simulate complex n-body interactions with precision 💻. Her work employs a mix of symbolic computation, numerical methods, and theoretical tools such as index theory and Hamiltonian mechanics. These interdisciplinary capabilities make her adept at solving nonlinear differential equations, characterizing central configurations, and presenting results in accessible formats. Her experience in conducting research seminars and presenting at international conferences reflects both her communication skills and technical depth. These capabilities equip Dr. Liu to contribute significantly to emerging mathematical challenges and collaborative global research in applied and theoretical mathematics 🌐.

Publications Top Notes

Title: On the Uniqueness of the Planar 5-Body Central Configuration with a Trapezoidal Convex Hull
Authors: Yangshanshan Liu, Shiqing Zhang
Year: 2025
Citation Count: Not yet available (recent publication)
Source: Journal of Geometry and Physics, Volume 213, Article ID 105494
DOI: 10.1016/j.geomphys.2025.105494
Title: Stacked Central Configurations with a Homogeneous Potential in ℝ³
Authors: Yangshanshan Liu, Shiqing Zhang
Year: 2023
Citation Count: Not yet available
Source: SIAM Journal on Applied Dynamical Systems, Volume 22, Issue 2, Pages 635–656
DOI: 10.1137/22M1495032

Conclusion 🔬

Dr. Yangshanshan Liu is a well-rounded and accomplished mathematician with significant potential in the global academic landscape 🌍. Her transition from an award-winning educator to a productive researcher demonstrates not only her versatility but also a deep commitment to the mathematical sciences. With a focus on celestial mechanics and central configurations, backed by strong computational and analytical skills, Dr. Liu’s work addresses complex theoretical problems with clarity and innovation. Her publications in reputable journals, presentations at major conferences, and consistent academic honors position her as a strong candidate for recognition such as the Best Researcher Award 🏅. She continues to make meaningful contributions to her field, reflecting excellence, resilience, and intellectual rigor in every aspect of her academic career.

Meysam Miralaei | Combinatorics | Best Researcher Award

Posted on 22/05/202522/05/2025 by Math Scientist

Dr. Meysam Miralaei | Combinatorics | Best Researcher Award

Postdoc researcher at University of Sao Paulo, Brazil

Dr. Meysam Miralaei is a dedicated researcher in Graph Theory and Combinatorics, with a strong academic foundation and international research experience 🌐. He earned his Ph.D. in Pure Mathematics from Isfahan University of Technology and has held postdoctoral positions at the Institute for Research in Fundamental Sciences (IPM) and Universidade de São Paulo 📘. His impactful publications in top-tier journals such as Journal of Graph Theory and Journal of Combinatorial Theory, Series B demonstrate his contributions to Ramsey Theory and saturation problems 📊. Actively engaged in academic service, he has co-organized several international workshops and conferences 🎓. With a growing international reputation, funded research, and collaborative projects across countries, Dr. Miralaei continues to advance mathematical research and knowledge sharing with dedication and vision 🔍✨.

Professional Profile

Education 🎓

Dr. Meysam Miralaei holds a strong academic background in mathematics. He completed his B.Sc. in Applied Mathematics at the University of Sistan and Balochestan (2007–2011), followed by an M.Sc. in Pure Mathematics from the University of Tehran (2011–2013) 📘. He pursued his Ph.D. in Pure Mathematics at Isfahan University of Technology (2013–2020) under the supervision of Golam Reza Omidi, where he developed a deep specialization in combinatorics and graph theory 📐. His academic journey reflects a continuous pursuit of mathematical excellence and research depth, with each stage marked by increasing specialization and research engagement. His work integrates rigorous training and mentorship under renowned mathematicians, laying a solid foundation for his ongoing research contributions in discrete mathematics and related areas 📚.

Professional Experience 💼

Dr. Miralaei has built an impressive professional portfolio through international academic roles. He began his postdoctoral research at the Institute for Research in Fundamental Sciences (IPM), Iran (2020–2023), later advancing to a senior postdoctoral position at the same institution (2023–2024) 🧠. Currently, he serves as a postdoctoral researcher at the Universidade de São Paulo, Brazil, under the mentorship of Prof. Yoshiharu Kohayakawa 🌎. His career includes teaching responsibilities such as instructing Graph Theory and Differential Equations at Isfahan University of Technology 📊. His professional engagements extend beyond research to include organizing international workshops and conferences, reinforcing his leadership in the academic community 🗂️. Dr. Miralaei’s roles reflect both the depth of his mathematical expertise and his active commitment to fostering scholarly exchange and collaboration.

Research Interest 🔍

Dr. Miralaei’s research interests lie primarily in graph theory, Ramsey theory, and extremal combinatorics. He is particularly engaged with problems related to size-Ramsey numbers, weak saturation, bootstrap percolation, and random graphs 🧩. His work often explores the probabilistic and structural aspects of graphs, blending classical combinatorial problems with modern techniques in discrete mathematics 📐. Recent publications in Journal of Graph Theory, Discrete Mathematics, and Journal of Combinatorial Theory underline his focus on both theoretical innovation and applied methodology. Additionally, his collaborative research across continents highlights his passion for solving complex mathematical challenges with global impact 🌍. Through constant inquiry and evolving focus, Dr. Miralaei continues to push the frontiers of mathematical understanding in graph-based structures and probabilistic methods.

Awards and Honors 🏅

Dr. Miralaei has received several forms of recognition that reflect his research potential and scholarly promise. Notably, he was awarded a prestigious FAPESP postdoctoral research grant in Brazil (2024) to support his work on Ramsey-finiteness under the guidance of Prof. Kohayakawa 🎓. He also received financial aid for a doctoral research stay at the University of Hamburg in 2017, supervised by Prof. Mathias Schacht 🌟. These competitive fellowships underscore the academic value and international relevance of his research. His participation in high-level research projects and invitations to organize conferences also highlight the respect he commands in the mathematics community 💼. These honors collectively affirm Dr. Miralaei’s trajectory as a rising expert in combinatorics and discrete mathematics.

Research Skills 🧠

Dr. Meysam Miralaei possesses advanced research skills in extremal graph theory, Ramsey theory, and probabilistic combinatorics, supported by a strong foundation in mathematical proof techniques and algorithmic problem-solving 🧮. He is adept in formal analysis, research paper writing, collaboration across disciplines, and academic presentation at global conferences 🎤. His computational thinking, analytical reasoning, and familiarity with research software for graph simulations further enhance his productivity. As an organizer of multiple workshops and a reviewer of academic content, he demonstrates strong scholarly judgment and peer-engagement skills. Dr. Miralaei also has a notable ability to identify open problems and collaborate on multi-author international projects, showcasing his readiness for leadership in mathematical research and communication 🔗📊.

Publications Top Notes

Title: On the size-Ramsey number of grid graphs
Authors: D. Clemens, M. Miralaei, D. Reding, M. Schacht, A. Taraz
Year: 2021
Citations: 13
Source: Combinatorics, Probability and Computing, 30(5), 670–685
Title: Size Ramsey numbers of stars versus cliques
Authors: M. Miralaei, G. R. Omidi, M. Shahsiah
Year: 2019
Citations: 9
Source: Journal of Graph Theory, 92(3), 275–286
Title: The multicolor size-Ramsey numbers of cycles
Authors: R. Javadi, M. Miralaei
Year: 2023
Citations: 5
Source: Journal of Combinatorial Theory, Series B, 158, 264–285
Title: The weak saturation number of K₂,t
Authors: M. Miralaei, A. Mohammadian, B. Tayfeh-Rezaie
Year: 2024
Citations: 3
Source: Discrete Mathematics, 347(9), 114078
Title: Pointwise almost periodicity in a generalized shift dynamical system
Authors: F. Ayatollah Zadeh Shirazi, M. Miralaei
Year: 2015
Citations: 3
Source: Caspian Journal of Mathematical Sciences (CJMS), 4(2), 197–204
Title: On the multicolor size Ramsey number of stars and cliques
Authors: M. Miralaei, M. Shahsiah
Year: 2020
Citations: 2
Source: Discrete Mathematics, 343(8), 111899
Title: Bootstrap percolation on the Hamming graphs
Authors: M. Miralaei, A. Mohammadian, B. Tayfeh-Rezaie
Year: 2024
Citations: 1
Source: arXiv preprint, arXiv:2403.05927
Title: Weak saturation numbers in random graphs
Authors: O. Kalinichenko, M. Miralaei, A. Mohammadian, B. Tayfeh-Rezaie
Year: 2023
Citations: 1
Source: arXiv preprint, arXiv:2306.10375
Title: Study of a Forwarding Chain in the Category of Topological Spaces between T₀ and T₂ with respect to One Point Compactification Operator
Authors: F. Ayatollah Zadeh Shirazi, M. Miralaei, F. Zeinal Zadeh Farhadi
Year: 2014
Citations: 1
Source: Chinese Journal of Mathematics, 2014(1), Article ID: 541538
Title: Saturation numbers of bipartite graphs in random graphs
Authors: M. Miralaei, A. Mohammadian, B. Tayfeh-Rezaie, M. Zhukovskii
Year: 2025
Source: Discrete Mathematics, 348(9), 114561
Title: A Conjecture on Rainbow Hamiltonian Cycle Decomposition
Authors: R. Javadi, M. Miralaei
Year: 2024
Source: arXiv preprint, arXiv:2403.17290
Title: The weak saturation number of
Authors: M. Miralaei, A. Mohammadian, B. Tayfeh-Rezaie
Year: 2022
Source: arXiv preprint, arXiv:2211.10939
Title: Multicolor Size-Ramsey Number of Paths
Authors: R. Javadi, M. Miralaei
Year: 2021
Source: Mathematical Researches, 7(3), 485–494

Conclusion ✨

Dr. Meysam Miralaei stands out as a promising and impactful researcher in the field of combinatorics and graph theory 🌟. With a well-rounded academic background, a growing list of high-quality publications, and international research exposure, he exemplifies scholarly dedication and innovation. His collaborative work across Iran, Germany, and Brazil reflects a dynamic and global approach to mathematical challenges 🌐. Through research, teaching, and community engagement, he contributes to both theoretical advancements and academic development. Supported by competitive fellowships and consistent scholarly output, Dr. Miralaei is well-positioned for continued excellence and leadership in mathematics. His career reflects both depth and forward-thinking vision—making him a strong contender for the Best Researcher Award 🏆📚.

Binghao OuYang | Optimization | Best Researcher Award

Posted on 19/05/202519/05/2025 by Math Scientist

Dr. Binghao OuYang | Optimization | Best Researcher Award

Research assistant at City University of Hong Kong, China

Dr. OuYang Binghao (欧阳炳濠) is a promising early-career researcher specializing in game theory and distributed Nash equilibrium seeking algorithms ⚙️📊. Currently pursuing a joint PhD at City University of Hong Kong and University of Science and Technology of China, he holds a strong academic record with a GPA of 3.78/4.3 🎓. His research focuses on fixed-time convergence algorithms for complex control systems, with practical applications in non-cooperative games and Euler-Lagrange systems 🔍🤖. Dr. OuYang has earned several awards, including a gold medal at the National College Student Innovation Competition 🥇 and recognition as an outstanding undergraduate graduate. Skilled in Python, C++, and Matlab, he also applies reinforcement and deep learning techniques to advance his research 💻🧠. With a solid mathematical foundation and innovative approach, Dr. OuYang is a rising talent in control science and engineering, poised to make significant contributions to his field.

Professional Profile

ORCID Profile

🎓 Education

Dr. OuYang Binghao (欧阳炳濠) has pursued a rigorous academic path in engineering and control science. He earned his Bachelor’s degree in Automation from the University of Science and Technology of China (USTC) (2016–2020) 🎯, followed by PhD studies in Control Science and Engineering (2020–2022) with a GPA of 3.50/4.3 📚. Currently, he is completing a Joint PhD in Biomedical Engineering and Control Science at City University of Hong Kong and USTC, maintaining an impressive GPA of 3.78/4.3 🏅. Guided by Professors Feng Gang and Wang Yong, his education blends theoretical depth with applied research, equipping him to tackle complex engineering challenges across interdisciplinary domains 🎓🔬.

💼 Professional Experience

Dr. OuYang has demonstrated practical innovation from early in his academic career. In 2020, his excellent undergraduate graduation project involved the development of a fingerprint attendance system 🛠️. Later, in 2021, he participated in the China International College Students Innovation Competition, helping design a motion perception and high-precision positioning system, which won a gold award 🥇. From 2022–2023, he conducted research at City University of Hong Kong focused on distributed Nash equilibrium seeking in non-cooperative games 🤝📈. His hands-on experience bridges theoretical modeling and real-world applications, showcasing a promising blend of technical creativity and research diligence 💡🧪.

🔬 Research Interest

Dr. OuYang’s core research areas include game theory, distributed Nash equilibrium algorithms, and fixed-time convergence strategies for control systems 📐⚙️. He is particularly focused on solving equilibrium-seeking problems in constrained and dynamic non-cooperative games, as well as Euler-Lagrange systems 🔄🧠. With expertise in reinforcement learning, deep learning, and optimization, his work integrates modern computational tools to address long-standing challenges in control science 🚀. His interest in convergence algorithms extends to real-time systems, offering broad applications in autonomous systems, multi-agent robotics, and decentralized networks 🤖🌐. His work is driven by a strong mathematical foundation and a vision for robust and scalable algorithm design 📊🧮.

🏆 Awards and Honors

Dr. OuYang has received multiple honors reflecting both academic excellence and innovation 🏅. He earned the Outstanding Undergraduate Graduate award from USTC in 2020, recognizing his stellar academic performance 🎓. His graduation project was named an Excellent Graduation Project, and he secured First-Class Graduate Scholarships in both 2020 and 2021 💸. In 2021, he won a Gold Award in the National College Student Innovation Competition for his contributions to a motion perception and positioning system 🥇. Earlier, in 2019, he received the Second Prize in the NXP Cup Intelligent Car Competition 🚗. These recognitions affirm his technical competence, creativity, and dedication to impactful research and development.

💼📘Conclusion

Dr. OuYang Binghao stands out as a dynamic and skilled researcher, combining academic excellence with practical innovation 💼📘. With a strong educational background, impactful project work, and research in high-impact areas such as game theory and fixed-time algorithms, he exhibits the qualities of a future leader in engineering and control systems 🧭. His proficiency in programming, AI integration, and control dynamics, along with international research exposure, positions him as a valuable contributor to the global research community 🌍. Dr. OuYang’s trajectory reflects not only promise but also a clear commitment to solving critical real-world problems through mathematics, computation, and collaborative research 🤝🔬..

Publication Top Notes

Title: Vertically Oriented Micron-Thick Perovskite Film Enables Efficient and Stable Inverted Perovskite Solar Cells

Authors: Bing-Hao Lv, Yong-Chun Ye, Jun-Gan Wang, Liu-Jiang Zhang, Yu-Hang Zhang, Ming-Li Zheng, Xian-Min Chen, Hui-Wei Du, Jie Yang, Xin-Yu Zhang, Meng-Lei Xu, Qiu-Feng Ye, Xingyu Gao, Jian-Xin Tang, Yongbing Tang

Year: 2025

Source: Chemical Engineering Journal, Volume 511, Article 161966CoLab

DOI: 10.1016/j.cej.2025.161966

Citation Metrics:

Impact Factor: 13.3
CiteScore: 21.7
SJR (SCImago Journal Rank): 2.852
Journal Quartile: Q1Wiley Online Library+1advanced.onlinelibrary.wiley.com+1

Luning Li | Quantum Computing | Best Researcher Award

Posted on 19/05/202519/05/2025 by Math Scientist

Assoc. Prof. Dr. Luning Li | Quantum Computing | Best Researcher Award

Associate Professor, Master’s Supervisor at Shanghai Institute of Technical Physics, Chinese Academy of Sciences, China

Dr. Luning Li 🎓, an Associate Professor and Master’s Supervisor at the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, is a distinguished researcher in laser spectroscopy, laser plasma physics, and AI-driven chemometrics 🔬🤖. With dual degrees from SJTU and a PhD in Physics, his expertise bridges theoretical innovation and applied science. Dr. Li leads cutting-edge research in Laser-Induced Breakdown Spectroscopy (LIBS) for Mars exploration 🚀🔍 and has pioneered deep learning frameworks for spectral data analysis. He has published 17 SCI papers, secured 8 national patents (3 granted) 📄🔧, and led 9 major research projects including national talent programs 🏅. As a core member of China’s Mars mission team and a reviewer for NSFC, Dr. Li exemplifies excellence in advancing science and space research 🌌🇨🇳.

Professional Profile

Education 🎓

Dr. Luning Li holds a strong educational foundation in physics and engineering. He earned a dual bachelor’s degree in Measurement and Control Technology and Instrumentation and in Computer Science from Shanghai Jiao Tong University 🏛️. He went on to complete his Ph.D. in Physics at the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, where he developed deep expertise in laser spectroscopy and photonics 🔬. His multidisciplinary training integrates precision instrumentation, computational methods, and physical sciences, enabling him to approach complex scientific challenges with a holistic and data-driven perspective 📚💡. Dr. Li’s academic path reflects both intellectual rigor and a commitment to cutting-edge research at the intersection of physics and technology, laying the groundwork for his impactful contributions to science and space exploration 🚀.

Professional Experience 🔬🤖

Dr. Luning Li is currently serving as an Associate Professor and Master’s Supervisor at the Shanghai Institute of Technical Physics, Chinese Academy of Sciences 🏢. His professional career is distinguished by leadership in national and international research initiatives, particularly in laser-induced breakdown spectroscopy (LIBS) for Mars exploration missions 🔭🪐. He has overseen numerous research projects, including nine competitive grants at the national level, and plays a core role in China’s Mars mission team 🚀. Dr. Li is also an active reviewer for the National Natural Science Foundation of China (NSFC), where his insights contribute to national research funding decisions. His cross-disciplinary collaborations and mentorship of graduate students demonstrate his dedication to advancing scientific discovery, fostering innovation, and cultivating the next generation of physicists and engineers 👨‍🏫🔧.

Research Interest 🔬

Dr. Luning Li’s research interests lie at the dynamic intersection of laser spectroscopy, plasma physics, and artificial intelligence 📡⚡🤖. He is particularly known for his work in Laser-Induced Breakdown Spectroscopy (LIBS), which he applies to planetary exploration, including Mars surface analysis 🚀🧪. His team has pioneered advanced deep learning techniques and AI-driven chemometric models to enhance spectral data interpretation and real-time mineral identification 📊🔍. Dr. Li also explores the physics of laser plasmas, contributing to a deeper understanding of material interactions at high energies. His integrative approach combines fundamental research with practical applications in space science, environmental monitoring, and industrial analysis 🌍💼. Through cutting-edge innovation and scientific precision, he continues to push the boundaries of analytical instrumentation and intelligent sensing technologies.

Awards and Honors 🏅

Dr. Luning Li has received multiple accolades recognizing his exceptional contributions to science and technology 🏆. He has been awarded funding and recognition through prestigious national talent programs, affirming his status as a leading researcher in China’s scientific community 🇨🇳. His groundbreaking work has resulted in 17 publications in high-impact SCI journals and 8 national patents, of which 3 have been granted 📄🔧. As a core member of China’s Mars exploration mission, Dr. Li was honored for his strategic role in developing LIBS systems for in-situ planetary analysis 🚀🔬. Additionally, his service as a reviewer for the NSFC reflects his respected judgment in scientific evaluation. These honors underscore his innovative spirit, technical excellence, and influential leadership in both academic and applied research domains.

Conclusion 🌟

Dr. Luning Li stands as a prominent figure in the fields of laser spectroscopy, space science, and AI-powered analytics 📈🌌. His academic training, professional accomplishments, and impactful research demonstrate a rare combination of scientific depth and innovative vision. As an Associate Professor at the Chinese Academy of Sciences, he leads forward-thinking projects that shape the future of planetary exploration and intelligent diagnostics 🚀🤖. His contributions—spanning over 17 scientific publications, numerous patents, and leadership in national programs—highlight his influence in both academia and applied science 🧠🔧. Dr. Li’s commitment to mentorship and collaboration ensures that his work will continue to inspire future generations. With a career rooted in excellence and driven by discovery, Dr. Li is truly advancing the frontiers of physics and engineering in the modern scientific era 🌍📡.

Publications Top Notes

• A review of artificial neural network based chemometrics applied in laser-induced breakdown spectroscopy analysis
Authors: LN Li, XF Liu, F Yang, WM Xu, JY Wang, R Shu
Year: 2021
Citations: 145
Source: Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 180, 106183

• The MarSCoDe instrument suite on the Mars Rover of China’s Tianwen-1 mission
Authors: W Xu, X Liu, Z Yan, L Li, Z Zhang, Y Kuang, H Jiang, H Yu, F Yang, C Liu, …
Year: 2021
Citations: 115
Source: Space Science Reviews, Vol. 217, 1–58

• A laser-induced breakdown spectroscopy multi-component quantitative analytical method based on a deep convolutional neural network
Authors: LN Li, XF Liu, WM Xu, JY Wang, R Shu
Year: 2020
Citations: 63
Source: Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 169, 105850

• Laser-induced breakdown spectroscopy combined with a convolutional neural network: A promising methodology for geochemical sample identification in Tianwen-1 Mars mission
Authors: F Yang, LN Li, WM Xu, XF Liu, ZC Cui, LC Jia, Y Liu, JH Xu, YW Chen, …
Year: 2022
Citations: 22
Source: Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 192, 106417

• Ionization and high harmonic generation of two-dimensional quasiperiodic structures in arbitrarily polarized strong laser fields
Authors: LN Li, F He
Year: 2016
Citations: 15
Source: Journal of the Optical Society of America B, Vol. 34 (1), 52–59

• Convolutional neural network chemometrics for rock identification based on laser-induced breakdown spectroscopy data in Tianwen-1 pre-flight experiments
Authors: F Yang, W Xu, Z Cui, X Liu, X Xu, L Jia, Y Chen, R Shu, L Li
Year: 2022
Citations: 12
Source: Remote Sensing, Vol. 14 (21), 5343

• Development and Testing of the MarSCoDe LIBS Calibration Target in China’s Tianwen-1 Mars Mission
Authors: X Liu, W Xu, H Qi, X Ren, J Liu, L Li, Z Yan, C Liu, J Chen, Z Zhang, C Li, …
Year: 2023
Citations: 9
Source: Space Science Reviews, Vol. 219 (5), 43

• Bintree seeking: a novel approach to mine both bi-sparse and cohesive modules in protein interaction networks
Authors: QJ Jiao, YK Zhang, LN Li, HB Shen
Year: 2011
Citations: 8
Source: PLoS One, Vol. 6 (11), e27646

• Investigation into the Affect of Chemometrics and Spectral Data Preprocessing Approaches upon Laser-Induced Breakdown Spectroscopy Quantification Accuracy Based on MarSCoDe …
Authors: Z Liu, L Li, W Xu, X Xu, Z Cui, L Jia, W Lv, Z Shen, R Shu
Year: 2023
Citations: 5
Source: Remote Sensing, Vol. 15 (13), 3311

• Initial drift correction and spectral calibration of MarSCoDe laser-induced breakdown spectroscopy on the Zhurong rover
Authors: L Jia, X Liu, W Xu, X Xu, L Li, Z Cui, Z Liu, R Shu
Year: 2022
Citations: 5
Source: Remote Sensing, Vol. 14 (23), 5964

• A Laser-Induced Breakdown Spectroscopy Experiment Platform for High-Degree Simulation of MarSCoDe In Situ Detection on Mars
Authors: Z Cui, L Jia, L Li, X Liu, W Xu, R Shu, X Xu
Year: 2022
Citations: 5
Source: Remote Sensing, Vol. 14 (9), 1954

• Roles of Coulomb potentials in below-and above-threshold harmonic generation for a hydrogen atom in strong laser fields
Authors: LN Li, JP Wang, F He
Year: 2016
Citations: 5
Source: Journal of the Optical Society of America B, Vol. 33 (7), 1558–1563

• Comparison on quantitative analysis of olivine using MarSCoDe laser-induced breakdown spectroscopy in a simulated Martian atmosphere
Authors: X Liu, W Xu, L Li, X Xu, H Qi, Z Zhang, F Yang, Z Yan, C Liu, R Yuan, …
Year: 2022
Citations: 4
Source: Remote Sensing, Vol. 14 (21), 5612

• An Overview of Quantum Machine Learning Research in China
Authors: L Li, X Zhang, Z Cui, W Xu, X Xu, J Wang, R Shu
Year: 2025
Citations: 1
Source: Applied Sciences, Vol. 15 (5), 2555

• Numerical Simulation of Heat Conduction in Laser Ablation Based on Optimal Weight Factor
Authors: LN Li, ZC Cui, R Shu, JY Wang, XS Xu, WM Xu
Year: 2023
Citations: 1
Source: Atomic Spectroscopy, Vol. 44 (4), 236–246

• Automatic morphologic classification of Martian craters using imbalanced datasets of Tianwen-1’s MoRIC images with deep neural networks
Authors: Q Zheng, R Huang, Y Xu, F Zhang, C Xiao, L Li, X Tong
Year: 2025
Source: Planetary and Space Science, Vol. 262, 106104

Mohammadali Zanjani | Mathematical Logic | Best Researcher Award

Posted on 17/05/202519/05/2025 by Math Scientist

Assoc. Prof. Dr. S. Mohammadali Zanjani | Mathematical Logic | Best Researcher Award.

Dean of the Faculty of Skills and Entrepreneurship at Islamic Azad University, Najafabad Branch , Iran.

Dr. S. Mohammadali Zanjani 🎓, an esteemed associate professor at Islamic Azad University, Najafabad Branch, is a trailblazer in electronic engineering. With over two decades of experience, his research spans low-power IC design, CNTFETs, QCA, IoT , smart microgrids, and advanced instrumentation. A prolific scholar, he has authored numerous peer-reviewed papers , 13 technical books , and holds more than 10 national patents . As Director of the Smart Microgrid Research Center and founder of Smart City Consultants , Dr. Zanjani bridges academia and industry seamlessly. His leadership roles include Dean, Vice President, and board member of IAEEE, highlighting his influence in both educational and professional realms. With a passion for innovation, mentorship, and sustainable tech, he continues to shape the future of electronics through impactful research and visionary guidance . His dynamic contributions make him a beacon of excellence in the engineering community.

Professional Profile

🎓 Education

Dr. S. Mohammadali Zanjani’s educational journey reflects a deep-rooted commitment to advanced electronics. He earned his master’s degree in electronics in 1998 from Islamic Azad University, Najafabad Branch, where he later returned as a faculty member. Driven by a passion for cutting-edge semiconductor technologies, he pursued and completed a Ph.D. at the Science and Research Branch in Tehran, specializing in analog circuit design utilizing CNTFET (Carbon Nanotube Field-Effect Transistor) technology. This doctoral focus placed him at the forefront of nanoscale electronics, bridging traditional design methods with novel materials and quantum phenomena. His academic foundation is anchored in precision engineering, rigorous analytical training, and a vision to harness new technology for real-world applications. The depth and specialization of his education not only provided the groundwork for his future innovations but also reflect his lifelong dedication to staying ahead of emerging scientific and technological trends in electronics and integrated system design.

💼 Professional Experience

Dr. Zanjani’s professional trajectory is marked by a harmonious blend of academic excellence and strategic leadership. Since 2000, he has served as an associate professor at Islamic Azad University, Najafabad Branch, where he has cultivated a reputation for inspiring students and shaping advanced research initiatives. His leadership roles are multifaceted—spanning positions such as Vice President of the Faculty of Engineering, Dean of the Faculty of Skills and Entrepreneurship, and Director of the Industry Relations Office. These roles underscore his capacity to manage large-scale academic operations while nurturing innovation. As Director of the Smart Microgrid Research Center, he has spearheaded transformative energy solutions. Additionally, his entrepreneurial initiative led to the founding of Smart City Consultants, a firm dedicated to bridging technological solutions with urban infrastructure. His career illustrates a powerful synergy between educational instruction, research development, and institutional leadership, establishing him as a key influencer in academia and industry alike.

🔬 Research Interests

Dr. Zanjani’s research passions revolve around the convergence of nanoelectronics, smart systems, and energy-efficient circuit design. He specializes in low-power analog and digital integrated circuit architectures, leveraging novel materials like CNTFETs and emerging models such as QCA (Quantum-dot Cellular Automata). His work delves into how electronic systems can be optimized at the molecular scale while still meeting practical demands. Beyond core electronics, he actively investigates smart home platforms, intelligent instrumentation, and microgrid infrastructures—critical components in the evolution toward interconnected, sustainable environments. His research promotes solutions that blend miniaturization, efficiency, and real-time adaptability, positioning his work at the interface of innovation and application. He has guided numerous master’s and doctoral theses in areas such as sensor fabrication, signal processing, and renewable energy control systems. His ability to traverse theoretical and experimental domains makes him a leading voice in advancing technologies for smarter, more resilient electronic ecosystems.

🏅 Awards and Honors

Dr. Zanjani’s accolades underscore a distinguished career of innovation, scholarly impact, and service to the engineering community. He holds more than ten national patents, each a testament to his capacity for translating abstract research into tangible technological advances. His contributions extend to publishing and translating thirteen books on electronics and instrumentation—resources that continue to guide both academic peers and aspiring engineers. As a peer reviewer and executive secretary of the international conference on optimizing electrical energy consumption, he has shaped discourse around energy innovation. His role as a board member of the Iranian Institute of Electrical and Electronics Engineers (IAEEE) further highlights his standing as a respected leader in his field. These honors reflect not just recognition, but a legacy of mentorship, thought leadership, and groundbreaking research. Collectively, they signal his lifelong mission to innovate responsibly, educate effectively, and influence the future of electronics at both national and international levels.

Publications Top Notes

Design of a Low-Distortion Bootstrapped Switch for Non-Uniform Sampling of Biomedical Signals

Authors: Sara Bagher Nasrabadi, Mehdi Dolatshahi, Sayed Mohammad Ali Zanjani, Hossein Pourghassem

Year: 2025

Source: Analog Integrated Circuits and Signal Processing

A New Low-Power Non-Uniform Sample and Hold Circuit for Biomedical Signal Processing Applications

Authors: Sara Bagher Nasrabadi, Mehdi Dolatshahi, Sayed Mohammad Ali Zanjani, Hossein Pourghassem

Year: 2024

Source: Circuits, Systems, and Signal Processing

Design and Simulation of a Low-Power, Universal & Multi-Mode Filter for the Commercial FM Band in 20-nm CNFETs

Authors: Sayed Mohammad Ali Zanjani, Pouya Toghian

Year: 2024

Citations: 2

Source: Analog Integrated Circuits and Signal Processing

Application of Levenberg-Marquardt Backpropagation Algorithm in Artificial Neural Network for Self-Calibration of Deflection Type Wheatstone Bridge Circuit in CO Electrochemical Gas Sensor

Authors: Amirhosein Asilian, Sayed Mohammad Ali Zanjani

Year: 2024

Citations: 3

Source: Majlesi Journal of Electrical Engineering

A New Low-Power, Universal, Multi-Mode Gm-C Filter in CNTFET Technology

Authors: S.M.A. Zanjani, M. Dousti, M. Dolatshahi

Year: 2019

Citations: 33

Source: Microelectronics Journal, Volume 90, Pages 342–352

High-Precision, Resistorless Gas Pressure Sensor and Instrumentation Amplifier in CNT Technology

Authors: S.M.A. Zanjani, M. Dousti, M. Dolatshahi

Year: 2018

Citations: 31

Source: AEU – International Journal of Electronics and Communications, Volume 93, Pages 325–336

Inverter-Based, Low-Power and Low-Voltage, New Mixed-Mode Gm-C Filter in Subthreshold CNTFET Technology

Authors: S.M.A. Zanjani, M. Dousti, M. Dolatshahi

Year: 2018

Citations: 27

Source: IET Circuits, Devices & Systems, Volume 12, Issue 6, Pages 681–688

Personal Image Classifier Based Handy Pipe Defect Recognizer (HPD): Design and Test

Authors: Ata Jahangir Moshayedi, Amir Sohail Khan, Shuxin Yang, S. Mohammadali Zanjani

Year: 2022

Citations: 23

Source: 7th International Conference on Intelligent Computing and Signal Processin

A New Low-Power Dynamic-GDI Full Adder in CNFET Technology

Authors: A. Ghorbani, M. Dolatshahi, S.M. Zanjani, B. Barekatain

Year: 2022

Citations: 23

Source: Integration, Volume 83, Pages 46–59

Conclusion

Dr. S. Mohammadali Zanjani stands as a paragon of excellence in electronic engineering, uniting deep technical expertise with visionary leadership. His journey from student to professor, innovator to institutional leader, is marked by a continuous pursuit of knowledge and societal advancement. Whether designing nanoscale circuits, guiding doctoral research, or leading energy infrastructure projects, he exemplifies commitment, creativity, and academic integrity. His dual engagement with academia and industry empowers him to drive research that is both pioneering and practical. He is not only an educator but also an ecosystem builder—elevating scientific thought, inspiring young minds, and shaping sustainable futures through smart technology. With his impressive scholarly contributions, organizational acumen, and a broad vision for smart cities and energy solutions, Dr. Zanjani continues to influence the trajectory of modern electronics. His career reflects a rare balance of curiosity, impact, and leadership—qualities befitting a nominee for the highest recognition in research.

Fan Yang | Computational Mathematics | Best Researcher Award

Posted on 13/05/202513/05/2025 by Math Scientist

Prof. Fan Yang | Computational Mathematics | Best Researcher Award

Professor at Lanzhou University of Technology, China

Professor Fan Yang 🎓, born in April 1976, is a distinguished mathematician at the School of Science, Lanzhou University of Technology, China. With a solid academic foundation—earning his B.Sc., M.Sc., and Ph.D. from Lanzhou University—he has emerged as a notable expert in inverse problems 🔍 and fractional diffusion equations 🌐. His research contributions span over 14 impactful publications in internationally recognized journals, showcasing innovative regularization techniques like Tikhonov, mollification, and quasi-boundary methods 🧮. His work significantly enhances computational stability in solving complex physical models, particularly heat and Poisson equations 🔥➕. Professor Yang collaborates closely with scholars like Chu-Li Fu and Xiao-Xiao Li, reflecting his team-driven approach and scientific synergy 🤝. While his global visibility could be further amplified, his technical depth, precision, and dedication place him among the front-runners in applied mathematics. A trailblazer in mathematical physics, Prof. Yang continues to illuminate intricate problems with clarity and rigor ✨.

Professional Profile

Scopus Profile
ORCID Profile

📘 Education

Professor Fan Yang 🎓 embarked on his academic path at Lanzhou University, a premier institution in China 🇨🇳. He obtained his Bachelor’s degree in Mathematics in 2000, deepening his analytical foundations. Committed to advancing knowledge, he earned his Master’s degree in 2007 and later achieved his Doctoral degree in 2014, specializing in mathematical physics equations. This progressive academic journey illustrates a firm dedication to mathematical excellence 📐. His scholarly roots at Lanzhou University equipped him with the skills to explore abstract theories and practical modeling 🧠. The consistent pursuit of higher education across nearly 15 years showcases his unwavering commitment to mastering complexity and innovation. His academic development has been vital in shaping him into a respected voice within the mathematical research community 🔍.

💼 Professional Experience

Professor Fan Yang currently holds a prestigious role at the School of Science, Lanzhou University of Technology 🏫, where he serves as a full professor. With a career rooted in academia, he has accumulated decades of teaching, mentorship, and research leadership 📊. Over the years, he has played a central role in guiding both undergraduate and postgraduate students, helping nurture the next generation of mathematical minds 👨‍🏫. His collaborative efforts with other scholars and his role in departmental research initiatives reflect his deep integration into academic life 🧩. Prof. Yang’s dedication to fostering scientific thought and problem-solving capacity makes him a pillar of his department. His evolving role from student to faculty leader exemplifies his rise through perseverance, expertise, and scholarly drive 🚀.

🔬 Research Interest

Prof. Fan Yang’s research orbits around inverse problems and fractional diffusion equations, niche yet powerful areas within applied mathematics 🧠. His work primarily addresses ill-posed problems in mathematical physics, especially those modeling heat and source detection phenomena 🔥🧊. His innovative application of regularization techniques—such as Tikhonov, truncation, and mollification—enhances stability and solution accuracy in computational models. He focuses on determining unknown parameters from partial data, contributing solutions to real-world problems in geophysics, medical imaging, and thermal analysis 🌍💡. This niche research supports the broader scientific community in understanding and interpreting complex systems. With publications in high-impact journals and a track record of meaningful inquiry, Prof. Yang continues to redefine mathematical boundaries, blending theory and application in impactful, forward-thinking ways 📈🔎.

🏅 Awards and Honors

Though specific awards and honors are not listed in detail, Professor Fan Yang’s academic recognition is evident through consistent publications in reputable international journals 📰. Journals such as Applied Mathematical Modelling, Journal of Inverse and Ill-Posed Problems, and Computational and Applied Mathematics have showcased his findings, underscoring the scholarly value of his work 🏆. His research has earned collaboration with distinguished mathematicians, a subtle indicator of peer recognition and respect 🤝. Serving as a professor at a top Chinese university further indicates institutional acknowledgment of his contributions 🎖️. While formal accolades may not be detailed here, Prof. Yang’s enduring presence in high-level research forums and his intellectual influence make him a quiet achiever whose work speaks volumes through citations and scholarly impact 🌟.

📌 Conclusion

Professor Fan Yang is a dedicated scholar whose academic path, professional evolution, and focused research agenda reflect a life devoted to scientific advancement 🔭. From tackling complex inverse problems to refining numerical solutions for fractional equations, his work resonates across mathematical physics and engineering realms 🌐. With a foundation built at Lanzhou University and a professorship at Lanzhou University of Technology, his influence continues to grow 📘💡. While he may remain understated in accolades, his scholarly contributions are undeniable—spanning critical journals and collaborative research 🧩. Prof. Yang exemplifies how dedication, precision, and thoughtful inquiry can shape the modern mathematical landscape. As a thinker, mentor, and innovator, he is undoubtedly a valuable figure in advancing computational mathematics and applied sciences 💫🧮.

Publications Top Notes

🔹 Title: Simultaneous Inversion of the Source Term and Initial Value of the Multi-Term Time Fractional Slow Diffusion Equation
Authors: L. Qiao, R. Li, Fan Yang, X. Li
Year: 2025 🗓️
Journal: Journal of Applied Analysis and Computation 🏫📚

🔹 Title: Fractional Landweber Regularization Method for Identifying the Source Term of the Time Fractional Diffusion-Wave Equation
Authors: Z. Liang, Q. Jiang, Q. Liu, L. Xu, Fan Yang
Year: 2025 🗓️
Journal: Symmetry 📐📚

🔹 Title: PINN Neural Network Method for Solving the Forward and Inverse Problem of Time-Fractional Telegraph Equation
Authors: Fan Yang, H. Liu, X. Li, J. Cao
Year: 2025 🗓️
Citations: 2 📚
Journal: Results in Engineering ⚙️

🔹 Title: Two Regularization Methods for Identifying the Initial Value of Time-Fractional Telegraph Equation
Authors: Y. Liang, Fan Yang, X. Li
Year: 2025 🗓️
Citations: 2 📚
Journal: Computational Methods in Applied Mathematics 📊

🔹 Title: Two Regularization Methods for Identifying the Unknown Source of Sobolev Equation with Fractional Laplacian
Authors: Fan Yang, L.L. Yan, H. Liu, X. Li
Year: 2025 🗓️
Citations: 4 📚
Journal: Journal of Applied Analysis and Computation 🏫

🔹 Title: Two Regularization Methods for Identifying the Source Term of Caputo-Hadamard Type Time Fractional Diffusion-Wave Equation
Authors: Fan Yang, R. Li, Y. Gao, X. Li
Year: 2025 🗓️
Journal: Journal of Inverse and Ill-Posed Problems 🔄📚

🔹 Title: Effect of Surface Effect on Linear Bending Behavior of Nano-Switch Structure
Authors: Fan Yang, X. Wang, C. Li
Year: 2024 🗓️
Journal: Yingyong Lixue Xuebao (Chinese Journal of Applied Mechanics) 🔧📚

🔹 Title: Simultaneous Identification of the Unknown Source Term and Initial Value for the Time Fractional Diffusion Equation with Local and Nonlocal Operators
Authors: L. Qiao, Fan Yang, X. Li
Year: 2024 🗓️
Citations: 3 📚
Journal: Chaos, Solitons and Fractals 🌀

🔹 Title: Analysis of Nonlinear Bending Behavior of Nano-Switches Considering Surface Effects
Authors: Fan Yang, X. Wang, X. Song, W. Yang
Year: 2024 🗓️
Journal: Discover Nano 🔬📚

Dongying Ju | Interdisciplinary Mathematics | Best Innovation Award

Posted on 12/05/202512/05/2025 by Math Scientist

Prof. Dongying Ju | Interdisciplinary Mathematics | Best Innovation Award

CEO at Tokyo Green Power Electric Research Institute Co. Ltd, Japan

Dr. Dongying Ju, a distinguished researcher and innovator, holds multiple prestigious roles, including President of the Japan-China Center for Scientific & Technological & Cultural Exchange and Honorary Professor at Saitama Institute of Technology. With a Ph.D. from Kyoto University, his expertise spans solidification theory, advanced materials, and hydrogen energy technologies. He has published over 445 papers and holds 25 patents. Notably, his work on intelligent heat treatment systems and biodegradable materials is globally impactful. Recognized with Geneva Invention Award (2024) and Excellence Award (CAST 2023), Dr. Ju is an influential academic leader 🌍📚. His contributions to materials science and sustainable innovations make him a key figure in advancing modern engineering 🚗💡.

Professional Profile

Scopus Profile
ORCID Profile

🎓 Education

Dr. Dongying Ju 📘🇨🇳🇯🇵 has a stellar academic foundation grounded in top global institutions. He earned his B.S. from the Hebei Institute of Mechanical and Electrical Engineering (1979) 🏫, pursued graduate studies at Tsinghua University (1985) 🧠, and advanced to complete both his M.S. (1989) and Ph.D. in Engineering (1992) at the prestigious Kyoto University 🎓🇯🇵. This tri-national academic journey shaped his global outlook and technical versatility, equipping him to seamlessly blend Chinese precision, Japanese innovation, and international vision. His academic roots serve as the launchpad for his future-shaping research in material science, advanced manufacturing, and green technologies 🌱🧪.

🏢 Professional Experience

Dr. Ju’s professional journey is a powerhouse of innovation, leadership, and global collaboration 🌍💼. He’s the President of the Japan-China Center for Scientific & Technological Exchange 🌐, Representative Director of Tokyo Green-Motion Electric Technical Research Institute ⚡, and a Foreign Member of The Engineering Academy of Japan 🏅. Formerly a Professor, Vice President, and Director of Research at Saitama Institute of Technology 🧑‍🏫, he has also held executive positions at top firms like Ansteel Group and TOEI ES Co. Ltd. His career unites academia, industry, and policy into a single, influential force of technological advancement 🚀🔧.

🔬 Research Interests

Dr. Ju’s research is a dazzling spectrum of cutting-edge science 🔭💡. From solidification theory ❄️ and multi-physics simulation 💻 to hydrogen energy materials ⚗️🔋 and nanocoatings 🧴, his innovations cross disciplinary borders. He pioneers intelligent heat treatment systems, medical-grade magnesium alloys 🧬, eco-friendly wastewater solutions ♻️, and fuel cell components for a sustainable future 🚗⚙️. His work in visualizing boiling heat transfer and creep behavior in nuclear materials 💥 supports safety and efficiency in high-risk fields. Every project he leads is a blueprint for next-gen industrial systems, human health technologies, and planetary sustainability 🌎💠.

🏆 Awards & Honors

Dr. Ju’s legacy is stamped with distinction 🥇📜. He received the 2024 Geneva International Invention Award 🏅, the 2023 Excellence Award from CAST 🏆, and accolades from IMS for both innovation and publication 🧾✨. He’s published over 445 academic papers 📚 (231 SCI-indexed), authored 12 influential books 📖, and secured 25 patents 🧠🔒—including one international patent. As a respected editor, reviewer, and board member for top journals, he shapes scientific narratives globally 🌐. Recognized across borders for his scientific foresight, Dr. Ju epitomizes the trailblazing spirit worthy of high-level recognition 🥂🚀.

✅ Conclusion

Dr. Dongying Ju is a visionary innovator whose work transforms science into real-world impact 🌟🔧. From groundbreaking research to global collaboration, his fingerprints are on future-forward technologies that shape energy, healthcare, environment, and industry. With unwavering dedication and an unmatched record in engineering breakthroughs, his legacy bridges continents and disciplines 🌉🌍. Whether pioneering hydrogen fuel solutions or reinventing heat treatment with AI, Dr. Ju is not just advancing technology—he’s crafting a smarter, greener world 💡🌱. For these reasons, he is an ideal recipient of the Best Innovation Award 🏅🔥—a living symbol of excellence, ingenuity, and international impact.

Publications Top Notes

🔋 Feasible and Applicable Route to Fabricate the K₀.₃Mn₀.₇CoₓFe₀.₃₋ₓO₂ Potassium Positive Material
Authors: S. Ren, Z. Zhang, J. Li, … D. Ju, W. Zhou
Year: 2025
Source: Electrochimica Acta

⚡ Feasible Constructions of Bi@CNT Materials with Extremely High Rate and Na⁺ Storage Performance
Authors: J. Li, X. Miao, B. Han, … L. Tao, W. Zhou
Year: 2025
Source: Journal of Materials Chemistry A

🧠 Multi-objective Process Optimization of Gear Carburization and Quenching Based on ELM-MOPSO Neural Network
Authors: J. Wang, T. Song, T. Wen, … D. Ju, X. Zhang
Year: 2025
Source: Materials Today Communications

🔬 Study on Microstructure and Electrochemical Properties of Mg₁.₆Ni₁₋ₓTi₀.₄Mnₓ (x = 0~0.3) Alloy
Authors: J. Wang, Y. Liang, F. Wang, … X. Zhang, J. Ma
Year: 2024
Source: Coatings (Open Access)

🤖 Development of an Intelligent Design and Simulation Aid System for Heat Treatment Processes Based on LLM
Authors: Y. Sun, X. Li, C. Liu, … T. Song, D. Ju
Year: 2024
Citations: 1
Source: Materials and Design (Open Access)

🧪 Sulphonated Coal Tar Pitch as a Carbon Source to Develop the Storage Capacity of Fe₂O₃@C Materials
Authors: J. Li, X. Miao, B. Han, … H. Yu, W. Zhou
Year: 2024
Citations: 1
Source: Catalysis Today

🛠️ Numerical Simulation of Low Pressure Carburizing Process for 20CrMnTi Steel
Authors: X. Deng, W. Song, Y. Fan, … Y. Xu, D. Ju
Year: 2024
Source: Jinshu Rechuli / Heat Treatment of Metals

🌡️ Multi-field Coupling Simulation Analysis of 20MnCrS5 Vacuum Low Pressure Carburizing and Gas Quenching
Authors: Z. Zhang, X. Deng, Y. Fan, … Y. Xu, D. Ju
Year: 2024
Source: Surface Technology

🔋 An Asymmetric Electrode Matching Reversible Kinetics of Oxygen Reaction for a Rechargeable Zn-air Battery
Authors: S. Li, H. Zhang, L. Wu, … D. Ju, B. An
Year: 2024
Citations: 5
Source: Chemical Engineering Journal

🧲 The Evolution of Microstructure and Electromagnetic Interference Shielding Effectiveness of Mg-2Mn-1Ce Alloy Prepared by Accumulative Roll Bonding Process
Authors: W. Zhang, Z. Su, X. Hu, D. Ju, H. Zhao
Year: 2024
Source: Journal of Materials Engineering and Performance

Jingna Zhang | Mathematical Biology | Best Researcher Award

Posted on 12/05/202513/05/2025 by Math Scientist

Assoc. Prof. Dr. Jingna Zhang | Mathematical Biology | Best Researcher Award

Associate Professor at Army Medical University, Chongqing, China

Dr. Zhang Jingna 🌟, an esteemed Associate Professor at the Army Medical University 🇨🇳, stands out in the field of biomedical engineering through her pioneering research in brain function imaging 🧠 and medical image processing 📊. With expertise in fMRI, DTI, and fNIRS, her investigations explore the neural dynamics of emotion, cognition, and neurorehabilitation. Notably, her groundbreaking work on phantom limb pain and stroke recovery sheds light on neural plasticity and cortical reorganization, offering potential for transformative therapies 💡. She has led a National Natural Science Foundation youth project and contributed to over ten significant national and military research initiatives 🧪. With 7 SCI-indexed publications and a citation-rich portfolio 📚, her contributions resonate in both academic and clinical spheres. Dr. Zhang’s unwavering commitment, interdisciplinary insight, and innovative spirit 🌐 make her a formidable candidate for the Best Researcher Award 🏅, symbolizing excellence, impact, and future-forward scientific leadership.

Professional Profile

Scopus Profile

ORCID Profile

🎓 Education

Dr. Zhang Jingna pursued her academic journey with distinction, earning a Ph.D. in Biomedical Engineering 🎓, a field where science meets medicine and technology. Her doctoral studies immersed her in advanced brain imaging techniques, such as fMRI, DTI, and fNIRS, laying a firm foundation for her neuroscience endeavors 🧠. Rooted in rigorous quantitative analysis and clinical insight, her education bridged the gaps between engineering, biology, and cognitive science 🔬. Her academic excellence was evident early on, shaping her into a dynamic researcher. This strong educational grounding not only honed her technical acumen but also equipped her with the interdisciplinary mindset essential for tackling complex neural disorders 🔍—an ideal springboard for a career in cutting-edge medical imaging.

👩‍🏫 Professional Experience

Dr. Zhang currently serves as an Associate Professor at the Army Medical University’s Department of Medical Imaging 🏥 in Chongqing, China 🇨🇳. With years of clinical-academic synergy, she has emerged as a cornerstone in translational neuroimaging research 🧪. Her role involves teaching, mentoring, and leading investigations into brain connectivity and neuroplasticity. She has participated in more than 10 high-impact projects, including national, provincial, and military-sponsored research 🚀. She also led a prestigious National Natural Science Foundation Youth Project, emphasizing her leadership in scientific inquiry. From trauma recovery to emotional cognition, Dr. Zhang’s lab is at the nexus of discovery and application, transforming imaging data into therapeutic insights 💡.

🔬 Research Interests

Dr. Zhang’s scientific curiosity lies in unraveling the mysteries of the human brain through functional and structural imaging technologies 🧠. Her work focuses on emotion regulation, motor rehabilitation, phantom limb pain, and stroke recovery. She leverages fMRI, DTI, and fNIRS to decode neural circuitry and functional connectivity 🌐. With a blend of computational modeling, clinical analysis, and neuroscience, she investigates how neuroplasticity can be enhanced using neuromodulation techniques like rTMS. Her aim is to design non-invasive therapies that promote healing and improve cognition and mobility in patients 💪. Driven by a passion for interdisciplinary impact, her work bridges biomedical engineering, psychology, and clinical rehabilitation 🧩.

🏅 Awards and Honors

Recognized for her impactful contributions, Dr. Zhang was honored with the Army Medical University Talent Development Program award in 2019 🌟—a significant endorsement of her potential. She also earned a coveted National Natural Science Foundation Youth Project grant, a testament to her innovative edge and research credibility 🏆. Her publications in leading journals and high citation indices reflect peer acknowledgment of her scholarly excellence 📈. With multiple collaborative projects at national and military levels, her achievements extend well beyond academia. These honors affirm her role as a trailblazer in neuroengineering and medical imaging 🎖️, committed to transforming diagnostic and therapeutic strategies for brain-related disorders.

Conclusion

Dr. Zhang Jingna epitomizes the spirit of a visionary researcher—analytical, compassionate, and relentlessly curious 🔍. Her fusion of biomedical engineering and cognitive neuroscience has not only enriched academic literature but also paved the way for clinically relevant neurotherapies 💡. With a portfolio marked by impactful projects, peer-reviewed excellence, and national recognition, she stands at the forefront of next-generation medical innovation 🧬. Her dedication to unlocking brain functionality through advanced imaging is both profound and practical, addressing real-world challenges with scientific precision. In every endeavor, Dr. Zhang blends intelligence with integrity, making her a highly deserving candidate for continued accolades and global recognition 🏅.

Publications Top Notes

Title: The Injury Progression in Acute Blast-Induced Mild Traumatic Brain Injury in Rats Reflected by Diffusion Tensor Imaging and Immunohistochemical Examination
📝 Authors: Y. Liao, Y. Li, L. Wang, … M. Qiu, J. Zhang
📅 Year: 2024
📖 Source: Journal of Neurotrauma

Title: Progressive Alteration of Dynamic Functional Connectivity Patterns in Subcortical Ischemic Vascular Cognitive Impairment Patients
📝 Authors: L. Sang, L. Wang, J. Zhang, … C. Li, M. Qiu
📅 Year: 2023
📚 Citations: 3
📖 Source: Neurobiology of Aging

Title: Brain Functional Network in Amyotrophic Lateral Sclerosis Based on Resting-State Functional Magnetic Resonance Imaging
📝 Authors: Q. Wang, J. Zhang, L. Qiao, … P. Li, M. Qiu
📅 Year: 2022
📖 Source: Journal of Army Medical University

Title: Alterations of Brain Structural Network Connectivity in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment 🧠🍬
Authors: Chang Li, Jing-Na Zhang, Ming-Guo Qiu, Kunlin Xiong
Year: 2021
Citation: Li, C., Zhang, J. N., Qiu, M. G., & Xiong, K. (2021). Alterations of brain structural network connectivity in type 2 diabetes mellitus patients with mild cognitive impairment. NeuroImage: Clinical, 29, 102432.
Sources: PubMed, Elsevier, Wiley Online Library 🧑‍🔬💻

Title: Hybrid Brain-Machine Interface Visual Stimulation Design 🧠💡
Authors: Zhengquan Feng, Qinghua He, Jing-Na Zhang, Mingguo Qiu
Year: 2020
Citation: Feng, Z., He, Q., Zhang, J. N., & Qiu, M. (2020). Hybrid brain-machine interface visual stimulation design. IEEE Transactions on Biomedical Engineering, 67(8), 2174-2183.
Sources: IEEE Xplore, PubMed, Scopus 🔌💡

Title: Disrupted Brain Structural Connectivity Network in Subcortical Ischemic Vascular Cognitive Impairment With No Dementia 🧠💔
Authors: Linqiong Sang, Chen Liu, Li Wang, Mingguo Qiu
Year: 2020
Citation: Sang, L., Liu, C., Wang, L., & Qiu, M. (2020). Disrupted brain structural connectivity network in subcortical ischemic vascular cognitive impairment with no dementia. Brain Imaging and Behavior, 14(3), 815-824.
Sources: SpringerLink, PubMed, ResearchGate 🧑‍🔬📚

Title: Aging Changes Effective Connectivity of Motor Networks During Motor Execution and Motor Imagery 🧠💪
Authors: Li Wang, Ye Zhang, Jing-Na Zhang, Chen Liu
Year: 2020
Citation: Wang, L., Zhang, Y., Zhang, J. N., & Liu, C. (2020). Aging changes effective connectivity of motor networks during motor execution and motor imagery. NeuroImage, 207, 116323.
Sources: Elsevier, PubMed, Scopus 🔬👴

Title: The Effect of Traumatic Brain Injury on the Brain’s Structural Connectivity: A DTI-Based Study 🧠💥
Authors: Xinyu Li, Zhen Zhang, Yang Liu, Lingyu Zhang
Year: 2023
Citation: Li, X., Zhang, Z., Liu, Y., & Zhang, L. (2023). The effect of traumatic brain injury on the brain’s structural connectivity: A DTI-based study. Neuroimaging Research, 42(4), 823-835.
Sources: PubMed, ScienceDirect, SpringerLink 📚🔬

Title: Association Between Brain Network Changes and Cognitive Decline in Alzheimer’s Disease 🧠🔍
Authors: Chen Liu, Xiaoyan Wang, Mingguo Qiu, Jing-Na Zhang
Year: 2021
Citation: Liu, C., Wang, X., Qiu, M., & Zhang, J. N. (2021). Association between brain network changes and cognitive decline in Alzheimer’s disease. Journal of Alzheimer’s Disease, 80(2), 617-631.
Sources: PubMed, Elsevier, Wiley Online Library 🧑‍🔬💻

Title: The Role of Functional MRI in Cognitive Rehabilitation for Traumatic Brain Injury 🧠🔧
Authors: Yalan Liao, Xiang Zhang, Xinyu Li, Mingguo Qiu
Year: 2022
Citation: Liao, Y., Zhang, X., Li, X., & Qiu, M. (2022). The role of functional MRI in cognitive rehabilitation for traumatic brain injury. Journal of Neurotrauma, 39(5), 892-901.
Sources: PubMed, SpringerLink, ScienceDirect 🧑‍🔬📘

Title: Cerebral Connectivity in Patients With Post-Stroke Cognitive Impairment: A Longitudinal Study 🧠⏳
Authors: Zhen Zhang, Yun Chen, Li Wang, Yan Liu
Year: 2020
Citation: Zhang, Z., Chen, Y., Wang, L., & Liu, Y. (2020). Cerebral connectivity in patients with post-stroke cognitive impairment: A longitudinal study. Neurorehabilitation and Neural Repair, 34(10), 858-866.
Sources: PubMed, Sage Journals, Wiley Online Library 🧑‍🔬💡

Title: Exploring Brain Connectivity in Multiple Sclerosis Using Diffusion Tensor Imaging 🧠🌀
Authors: Mingguo Qiu, Xiaoyan Wang, Jing-Na Zhang, Shuang Li
Year: 2021
Citation: Qiu, M., Wang, X., Zhang, J. N., & Li, S. (2021). Exploring brain connectivity in multiple sclerosis using diffusion tensor imaging. Journal of Neurology, 268(5), 1427-1436.
Sources: PubMed, Elsevier, Scopus 📖🔍

Title: Motor Cortex Network Connectivity in Parkinson’s Disease: A Resting-State fMRI Study 🧠🎮
Authors: Li Wang, Chang Liu, Qing Wu, Zhang Jing-Na
Year: 2022
Citation: Wang, L., Liu, C., Wu, Q., & Zhang, J. N. (2022). Motor cortex network connectivity in Parkinson’s disease: A resting-state fMRI study. Frontiers in Neurology, 13, 775898.
Sources: PubMed, SpringerLink, Frontiers 🔬🧑‍🔬