Ming-Qiang Bai | Mathematics | Best Researcher Award

Prof. Ming-Qiang Bai | Mathematics | Best Researcher Award

Professor from School of Mathematical Sciences, Sichuan Normal University, China

Professor Ming-Qiang Bai is a distinguished researcher in the field of quantum information and computation. Currently serving as the Vice-President and a Professor at Sichuan Normal University, he has contributed extensively to theoretical and applied mathematics. With a strong academic background and a career spanning over two decades, he has published numerous research papers in high-impact journals. His expertise in quantum communication, automata theory, and formal languages has earned him recognition in academic circles. In addition to research, he plays an active role in reviewing and editing academic journals, further demonstrating his influence in the field. His leadership, scholarly contributions, and dedication to advancing mathematical sciences make him a strong candidate for prestigious research awards.

Professional Profile

Education

Professor Bai pursued his education at Sichuan Normal University, where he obtained all his degrees. He earned his Ph.D. in 2014, following a Master of Science degree in 2001 and a Bachelor of Science degree in 1998. His academic excellence was recognized early, as he graduated with distinction and received the Outstanding Graduation Award in Sichuan Province. His educational journey laid the foundation for his research in quantum computing and mathematical sciences, equipping him with the necessary expertise to contribute significantly to these fields. His strong academic background and early recognition set him apart as a dedicated scholar committed to advancing scientific knowledge.

Professional Experience

Professor Bai’s professional career is deeply rooted in academia, primarily at Sichuan Normal University. He began as an Assistant Professor in 2001 and steadily advanced through the ranks, becoming a Lecturer in 2003, an Associate Professor in 2009, and a full Professor in 2014. In 2020, he was appointed Vice-President, reflecting his leadership capabilities and contributions to the institution. His international exposure includes a visiting professorship at Tsinghua University, where he expanded his research collaborations. His extensive teaching and administrative experience, combined with his research expertise, highlight his significant role in shaping the academic and scientific landscape in his field.

Research Interests

Professor Bai’s research interests encompass various domains of quantum computing and mathematical sciences. He specializes in quantum information, quantum computation, and formal languages, focusing on developing advanced theoretical frameworks and practical applications. His work in the theory of automata and uncertainty has led to groundbreaking insights into the computational and logical structures underlying quantum mechanics. Through his research, he aims to enhance secure quantum communication methods and explore new dimensions of computation beyond classical paradigms. His contributions have broadened the understanding of quantum systems and their applications in real-world scenarios.

Research Skills

Professor Bai possesses a diverse set of research skills, enabling him to conduct cutting-edge studies in quantum computation and mathematical modeling. He has expertise in developing quantum algorithms, analyzing quantum entanglement, and working with automata theory. His skills also include formal language processing and uncertainty theory, which are crucial in computational logic and artificial intelligence. Additionally, his experience as a journal editor and reviewer demonstrates his proficiency in critically evaluating scientific research. His ability to integrate interdisciplinary approaches further strengthens his research capabilities, making him a valuable asset in advancing quantum and mathematical sciences.

Awards and Honors

Throughout his career, Professor Bai has received numerous awards and honors recognizing his academic excellence and research contributions. He was awarded the Outstanding Graduation Award in Sichuan Province, marking the beginning of his distinguished journey. His leadership roles, including serving as Vice-President of Sichuan Normal University, further attest to his academic impact. Additionally, his active participation as a reviewer for prestigious journals, including the American Mathematical Society and Quantum Information Processing, reflects his standing in the global research community. These accolades highlight his influence and commitment to the advancement of quantum computing and mathematical sciences.

Conclusion

Professor Ming-Qiang Bai is a leading researcher whose contributions to quantum information and mathematical sciences have significantly impacted academia. His extensive research output, leadership roles, and dedication to fostering scientific inquiry make him a deserving candidate for the Best Researcher Award. With a solid educational foundation, a distinguished career, and a strong publication record, he continues to push the boundaries of quantum computation and secure communication. His expertise, combined with his passion for advancing theoretical and applied mathematics, ensures that his work will remain influential in shaping the future of quantum technology and computational theory.

Publications Top Notes

  1. Title: Optimization and design for multi-valued quantum comparator circuits
    Authors: T. Zhang, Tingyan; Y. Li, Yi; S. Lu, Sijun; P. Jiang, Pengheng; J. Liu, Jiawei
    Year: 2025

  2. Title: Blind quantum computation with fewer quantum and delegated cost of client
    Authors: Y. Yan, Yuzhan; Z. Yang, Zhen; G. Wu, Guangyang; M. Bai, Mingqiang; Z. Mo, Zhiwen
    Year: 2025

  3. Title: Quantum positive matrix-positive matrix multiplication algorithm
    Authors: J. Yang, Jinchuan; S. He, Shiping; M. Bai, Mingqiang; Z. Mo, Zhiwen
    Year: 2024

  4. Title: Efficient Arbitrated Quantum Digital Signature with Multi-Receiver Verification
    Authors: S. Xiong, Siyu; B. Tang, Bangying; H. Han, Hui; Z. Mo, Zhiwen; B. Liu, Bo
    Year: 2024

  5. Title: Half-blind quantum computation with operation teleportation
    Authors: Z. Yang, Zhen; G. Wu, Guangyang; M. Bai, Mingqiang
    Year: 2024
    Citations: 1

  6. Title: Improved Measurement-Based Blind Quantum Computation Protocol
    Authors: Y. Yan, Yuzhan; Z. Yang, Zhen; Y. Luo, Yuanmao; M. Bai, Mingqiang; Z. Mo, Zhiwen
    Year: 2024

 

Nacira Agram | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Nacira Agram | Mathematics | Best Researcher Award

Mathematics Department at KTH Royal, Algeria

Dr. Nacira Agram is an Associate Professor in the Department of Mathematics at KTH Royal Institute of Technology in Stockholm, Sweden. With a robust academic background and extensive research experience, her work primarily focuses on stochastic analysis, optimal control theory, and their applications in finance, insurance, and biology. Dr. Agram has made significant contributions to the field of applied mathematics, particularly in the study of stochastic differential equations and backward stochastic differential equations. Her research is characterized by a deep integration of theoretical mathematics with practical problem-solving, aiming to develop models that address real-world challenges. In addition to her research, Dr. Agram is actively involved in teaching and mentoring, guiding both master’s and doctoral students in their academic pursuits. Her international experience spans multiple countries, reflecting a commitment to fostering global academic collaborations and contributing to the advancement of mathematical sciences.

Professional Profile

Education

Dr. Agram’s academic journey began at the University of Biskra in Algeria, where she earned her Bachelor’s degree in Mathematics in 2008. She continued at the same institution to obtain her Master’s degree in Mathematics in 2010, focusing on stochastic analysis and optimal control. Her passion for these subjects culminated in a Ph.D. in Applied Mathematics from the University of Biskra in 2013, with a dissertation titled “Optimal Control in Infinite Time Horizon.” In 2021, Dr. Agram achieved the title of Docent from Linnaeus University in Växjö, Sweden, recognizing her substantial contributions to research and teaching in mathematics. This progression through rigorous academic training has equipped her with a solid foundation in both theoretical and applied aspects of mathematics, enabling her to tackle complex problems in her subsequent research and professional endeavors.

Professional Experience

Dr. Agram’s professional trajectory is marked by a series of esteemed positions across various academic institutions. Following her Ph.D., she served as an Associate Professor at the University of Biskra from 2014 to 2019, where she was instrumental in advancing the department’s research profile. She then pursued postdoctoral research at the University of Oslo in Norway between 2016 and 2018, collaborating on projects involving stochastic processes. In 2019, Dr. Agram joined Linnaeus University in Växjö, Sweden, as a Tenure-Track Assistant Professor, further honing her research and teaching skills. Her career advanced as she assumed the role of Associate Professor at KTH Royal Institute of Technology in March 2022, where she continues to contribute to the fields of probability, mathematical physics, and statistics. Throughout her career, Dr. Agram has demonstrated a commitment to academic excellence, interdisciplinary collaboration, and mentorship, impacting both her students and the broader mathematical community.

Research Interests

Dr. Agram’s research interests are centered around applied mathematics, with a particular emphasis on stochastic processes and optimal control theory. She delves into stochastic differential equations, backward stochastic differential equations, and partial differential equations, exploring their applications in various domains such as finance, insurance, and biology. Her work often involves the development of deep learning and reinforcement learning algorithms to solve complex optimal control problems, aiming to enhance decision-making processes in uncertain environments. Dr. Agram is also interested in the interplay between stochastic analysis and machine learning, seeking to leverage data-driven approaches to inform and improve mathematical models. Her interdisciplinary approach reflects a dedication to addressing practical problems through rigorous mathematical frameworks, contributing to advancements in both theory and application.

Research Skills

Dr. Agram possesses a diverse set of research skills that underpin her contributions to applied mathematics. She is proficient in stochastic modeling, adept at formulating and analyzing models that incorporate randomness to reflect real-world uncertainties. Her expertise extends to optimal control theory, where she develops strategies to influence dynamic systems towards desired objectives. Dr. Agram is skilled in the application of deep learning techniques, utilizing neural networks to approximate complex functions and solve high-dimensional problems. Her programming capabilities in Python, MATLAB, and C++ facilitate the implementation and simulation of mathematical models, enabling her to test hypotheses and validate theoretical findings. Additionally, her multilingual proficiency in Arabic, French, English, Norwegian, and Swedish enhances her ability to collaborate across diverse cultural and academic settings, fostering international research partnerships.

Awards and Honors

Throughout her career, Dr. Agram has been recognized for her academic excellence and research contributions. She has been the recipient of several prestigious grants, including a Starting Grant from KTH in 2024 amounting to 3 million SEK, and a VR Project Grant in 2020 totaling 3.6 million SEK, underscoring the significance and impact of her research endeavors. Her early academic achievements were marked by accolades such as the Best Bachelor Student Prize in 2008, Best Master Student Prize in 2010, and the First Ph.D. Defense Prize in 2013 from the University of Biskra, highlighting her consistent dedication to scholarly excellence. In 2017, Dr. Agram was selected to participate in the 5th Heidelberg Laureate Forum, an honor that connects promising researchers with laureates in mathematics and computer science, reflecting her standing in the global scientific community. These honors collectively attest to Dr. Agram’s sustained commitment to advancing mathematical sciences and her influence as a leading researcher in her field.

Conclusion

Dr. Nacira Agram exemplifies a distinguished scholar whose career seamlessly integrates rigorous research, dedicated teaching, and impactful mentorship. Her extensive work in stochastic analysis and optimal control has not only advanced theoretical mathematics but also provided practical solutions to complex problems in finance, insurance, and biology. Dr. Agram’s ability to secure significant research funding and her recognition through various awards underscore the value and relevance of her contributions to the scientific community. Her commitment to fostering international collaborations and guiding the next generation of mathematicians reflects a holistic approach to academia, where knowledge creation and dissemination go hand in hand. As she continues her tenure at KTH Royal Institute of Technology, Dr. Agram remains poised to make further strides in her research, inspiring both her peers and students through her exemplary dedication to the advancement of mathematical sciences.

Publication Top Notes

  1. “Deep learning for quadratic hedging in incomplete jump market”

    • Authors: Nacira Agram, Bernt Karsten Øksendal, Jan Rems
    • Year: 2024
    • Citations: 1
  2. “Optimal stopping of conditional McKean–Vlasov jump diffusions”

    • Authors: Nacira Agram, Bernt Karsten Øksendal
    • Year: 2024

Cong Gao | Mathematics | Best Researcher Award

Dr. Cong Gao | Mathematics | Best Researcher Award

Associate Research Fellow at Harbin Engineering University, China

Cong Gao is a dedicated researcher specializing in structural vibration, noise control, and the mechanical properties of composite materials. His research focuses on understanding and mitigating vibration and acoustic issues in complex engineering structures, with significant contributions to the analysis of stiffened cylindrical shells, functionally graded materials, and composite structures. Cong Gao’s work bridges theory and experimentation, employing advanced analytical methods such as the Ritz method and Jacobi polynomials to solve complex vibration problems. His prolific academic output includes publications in high-impact journals, covering topics like vibro-acoustics, free and forced vibration, and dynamic behavior of shells and plates. His innovative research has applications in aerospace, marine engineering, and structural design.

Professional Profile

Education

Cong Gao holds advanced degrees in engineering, focusing on structural mechanics and material science. His academic journey has equipped him with profound expertise in analytical and computational methods for solving structural vibration problems. With rigorous training in theoretical and experimental mechanics, Cong Gao combines mathematical modeling with practical application to develop innovative solutions for real-world engineering challenges. His education has provided the foundation for his impactful contributions to the field of composite materials and vibration analysis.

Professional Experience

Cong Gao has gained significant professional experience as a researcher and academic. He has been actively involved in projects addressing vibration and noise issues in engineering structures, particularly in aerospace and marine applications. His work frequently involves collaboration with multidisciplinary teams to develop and validate advanced models for structural analysis. Cong Gao’s experience spans from theoretical development to experimental validation, ensuring the practical relevance of his research. His expertise in handling complex structural systems makes him a vital contributor to projects requiring cutting-edge vibration and acoustic analysis techniques.

Research Interests

Cong Gao’s research interests lie at the intersection of structural mechanics, vibration analysis, and material science. His primary focus is on the vibro-acoustic behavior of composite materials, particularly stiffened cylindrical shells and functionally graded structures. He is passionate about developing semi-analytical methods for vibration and noise prediction, leveraging techniques like the Ritz method and Jacobi polynomials to enhance the understanding of dynamic behavior in engineering systems. Cong Gao’s research has implications for reducing noise pollution, optimizing structural performance, and advancing material design in industries like aerospace, marine, and automotive engineering.

Research Skills

Cong Gao possesses exceptional research skills in both analytical and experimental mechanics. He is adept at using advanced semi-analytical techniques, such as the Ritz method and Jacobi polynomials, for solving complex structural dynamics problems. His expertise extends to finite element modeling, vibro-acoustic analysis, and dynamic characterization of composite materials. He is proficient in designing and conducting experiments to validate theoretical models, ensuring the reliability of his research findings. His ability to integrate theory and practice highlights his versatility and depth in addressing multidisciplinary challenges in structural vibration and noise control.

Awards and Honors

Cong Gao’s outstanding contributions to structural mechanics and material science have earned him recognition in the academic and professional communities. He has received accolades for his innovative research on the dynamic behavior of composite materials and stiffened shells. His impactful publications in high-impact journals have further established his reputation as a leading researcher in vibration and noise analysis. Cong Gao’s work has been highlighted at international conferences, where he has received awards for excellence in research presentations. His achievements reflect his dedication to advancing knowledge and solving critical engineering problems.

Conclusion

Cong Gao is a highly suitable candidate for the Best Researcher Award due to his significant contributions to structural vibration, noise analysis, and composite materials research. His methodological rigor and consistent productivity make him a standout researcher in his field. While addressing areas such as leadership roles, industrial collaborations, and public engagement could further enhance his profile, his current achievements strongly position him as a deserving candidate for this recognition.

Publication Top Notes

  1. A unified Jacobi-Ritz-spectral BEM for vibro-acoustic behavior of spherical shell
    Authors: Li, H., Xu, J., Pang, F., Gao, C., Zheng, J.
    Year: 2024
  2. Jacobi-Ritz method for dynamic analysis of functionally graded cylindrical shell with general boundary conditions based on FSDT
    Authors: Xu, J., Gao, C., Li, H., Zheng, J., Hang, T.
    Year: 2024
  3. Coaxial composite resonator for vibration damping: Bandgap characteristics and experimental research
    Authors: Qin, Y.-X., Xie, Y.-X., Tang, Y., Pang, F.-Z., Gao, C.
    Year: 2024
  4. Dynamic analysis of stepped functionally graded conical shells with general boundary restraints using Jacobi polynomials-Ritz method
    Authors: Lu, L., Gao, C., Xu, J., Li, H., Zheng, J.
    Year: 2024
  5. Reconstructed source method for underwater noise prediction of a stiffened cylindrical shell
    Authors: Pang, F., Tang, Y., Li, C., Gao, C., Li, H.
    Year: 2024
  6. Prediction of vibro-acoustic response of ring stiffened cylindrical shells by using a semi-analytical method
    Authors: Gao, C., Pang, F., Li, H., Huang, X., Liang, R.
    Year: 2024
    Citations: 2
  7. Prediction of Time Domain Vibro-Acoustic Response of Conical Shells Using Jacobi–Ritz Boundary Element Method
    Authors: Gao, C., Zheng, J., Pang, F., Li, H., Yan, J.
    Year: 2024
  8. Modeling and experiments on the vibro-acoustic analysis of ring stiffened cylindrical shells with internal bulkheads: A comparative study
    Authors: Gao, C., Xu, J., Pang, F., Li, H., Wang, K.
    Year: 2024
    Citations: 6
  9. Experimental and numerical investigation on vibro-acoustic performance of a submerged stiffened cylindrical shell under multiple excitations
    Authors: Tang, Y., Zhao, Z., Qin, Y., Gao, C., Li, H.
    Year: 2024
    Citations: 6
  10. Forced vibration response analysis of hemispherical shell under complex boundary conditions | 复杂边界条件下半球壳受迫振动响应分析
    Authors: Pang, F.-Z., Zhang, M., Gao, C., Zheng, J.-J., Li, H.-C.
    Year: 2024
    Citations: 1