Thomas Kotoulas | Mathematical Physics | Best Researcher Award

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Dr. Thomas Kotoulas | Mathematical Physics | Best Researcher Award

Researcher at Aristotle University of Thessaloniki, Greece.

Dr. Thomas Kotoulas is a distinguished researcher specializing in Newtonian Dynamics and Celestial Mechanics, with a prolific academic record comprising 41 refereed journal articles, including 18 monographs. His research spans critical areas such as the restricted three-body problem, periodic orbit computation, symplectic mapping models, and inverse problems in Newtonian dynamics, with applications in astronomy and galactic dynamics. He has been actively involved in funded research projects and received prestigious fellowships, including one from the National Foundation of Fellowships (I.K.Y.). Recognized for his outstanding peer-review contributions, he has been awarded the Outstanding Reviewer Award by Research in Astronomy and Astrophysics and acknowledged by Astrophysics and Space Science. He has reviewed for 13 international journals and contributed to Mathematical Reviews. With his extensive work in celestial mechanics, his expertise plays a crucial role in understanding planetary and asteroid dynamics, making him a strong candidate for the Best Researcher Award.

Professional Profile 

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Education

Dr. Thomas Kotoulas holds a B.Sc. in Physics from the Aristotle University of Thessaloniki (A.U.Th.), where he graduated with a very good distinction (7.71/10) in 1995. He pursued his Ph.D. in Celestial Mechanics and Dynamical Systems at the same institution, completing his thesis, “Dynamical evolution of small bodies at resonant areas in the Outer Solar System”, in 2003 with highest honors (Excellent). During his doctoral studies, he was awarded a fellowship from the National Foundation of Fellowships (I.K.Y.), recognizing his academic excellence. His postdoctoral research included significant contributions to the study of the restricted three-body problem, funded by the Greek Ministry of Education and the European Community. His educational background, rooted in classical physics, dynamical systems, and celestial mechanics, laid the foundation for his impactful career in Newtonian dynamics, orbital mechanics, and inverse problems in physics, with direct applications in astronomy and galactic dynamics.

Professional Experience

Dr. Kotoulas has built an impressive career in celestial mechanics and dynamical systems, contributing extensively through research, peer review, and mentorship. He has worked as a postdoctoral researcher for over five years, with projects focusing on the dynamics of the restricted three-body problem and applications in asteroid and Kuiper Belt studies. His professional journey includes participation in the EPEAEK II PYTHAGORAS research project, where he played a key role in modeling planetary resonances. He has been a reviewer for over 13 prestigious scientific journals, including Celestial Mechanics and Dynamical Astronomy, Astronomy and Astrophysics, and Monthly Notices of the Royal Astronomical Society (MNRAS). Additionally, he has authored 41 research papers, 18 of which are monographs, showcasing his expertise in orbital stability, periodic orbits, and inverse problems. His experience solidifies his reputation as a leading figure in Newtonian dynamics and celestial mechanics.

Research Interests

Dr. Kotoulas’ research is deeply rooted in Newtonian dynamics, celestial mechanics, and inverse problems in physics, with a strong focus on planetary motion, asteroid dynamics, and resonance stability. His work on the restricted three-body problem involves studying periodic orbits, resonance phenomena, and dynamical stability, with applications in asteroid belt studies, planetary migration, and Kuiper Belt dynamics. He has also made significant contributions to the inverse problem of Newtonian dynamics, using differential equations to reconstruct gravitational force fields from observed orbital data. His research integrates mathematical modeling, computational methods, and astrophysical applications, contributing to a deeper understanding of planetary system evolution. Additionally, his expertise in symplectic mapping models, spectral analysis of orbits, and stability analysis has provided new insights into long-term orbital behaviors and galactic dynamics, positioning him as a key contributor to the field of astrodynamics and dynamical astronomy.

Awards and Honors

Dr. Kotoulas has received numerous awards and distinctions for his contributions to celestial mechanics and dynamical astronomy. He was recognized as one of the best external reviewers by Research in Astronomy and Astrophysics in 2022, earning the Outstanding Reviewer Award. Additionally, he received formal recognition from Astrophysics and Space Science for his invaluable peer-review contributions. His research excellence has been acknowledged through a prestigious fellowship from the National Foundation of Fellowships (I.K.Y.), awarded during his Ph.D. studies. His dedication to advancing celestial mechanics is further reflected in his role as a registered reviewer for Mathematical Reviews, where he has contributed expert evaluations of influential research papers. These honors underscore his exceptional impact in the field, his commitment to scientific integrity, and his standing as a respected researcher in Newtonian dynamics and astrophysics.

Conclusion

Dr. Thomas Kotoulas is a renowned researcher in celestial mechanics, Newtonian dynamics, and inverse problems in physics, with an extensive academic, research, and professional portfolio. His contributions to orbital stability, planetary resonance, and dynamical system modeling have provided valuable insights into planetary and asteroid motion. With 41 research publications, 18 monographs, multiple fellowships, and prestigious reviewer awards, he has established himself as a leading figure in astrophysical research. His dedication to advancing celestial mechanics, combined with his active role in peer review and academic mentorship, makes him a highly deserving candidate for the Best Researcher Award. His work continues to shape the understanding of orbital mechanics and planetary system evolution, reinforcing his position as a respected scientist in the field of dynamical astronomy and mathematical physics.

Publications Top Noted

  • Planar periodic orbits in exterior resonances with Neptune

    • Authors: G. Voyatzis, T. Kotoulas
    • Year: 2005
    • Citations: 44
    • Source: Planetary and Space Science, 53(11), 1189-1199

  • Comparative study of the 2:3 and 3:4 resonant motion with Neptune: an application of symplectic mappings and low-frequency analysis

    • Authors: T. Kotoulas, G. Voyatzis
    • Year: 2004
    • Citations: 43
    • Source: Celestial Mechanics and Dynamical Astronomy, 88, 343-363

  • On the stability of the Neptune Trojans

    • Authors: R. Dvorak, R. Schwarz, Á. Süli, T. Kotoulas
    • Year: 2007
    • Citations: 33
    • Source: Monthly Notices of the Royal Astronomical Society, 382(3), 1324-1330

  • Symmetric and nonsymmetric periodic orbits in the exterior mean motion resonances with Neptune

    • Authors: G. Voyatzis, T. Kotoulas, J.D. Hadjidemetriou
    • Year: 2005
    • Citations: 31
    • Source: Celestial Mechanics and Dynamical Astronomy, 91, 191-202

  • On the 2/1 resonant planetary dynamics – periodic orbits and dynamical stability

    • Authors: G. Voyatzis, T. Kotoulas, J.D. Hadjidemetriou
    • Year: 2009
    • Citations: 30
    • Source: Monthly Notices of the Royal Astronomical Society, 395(4), 2147-2156

  • Resonant periodic orbits of trans-Neptunian objects

    • Authors: T.A. Kotoulas, J.D. Hadjidemetriou
    • Year: 2002
    • Citations: 22
    • Source: Earth, Moon, and Planets, 91, 63-93

  • Three-dimensional periodic orbits in exterior mean motion resonances with Neptune

    • Authors: T.A. Kotoulas, G. Voyatzis
    • Year: 2005
    • Citations: 21
    • Source: Astronomy & Astrophysics, 441(2), 807-814

  • Homogeneous two-parametric families of orbits in three-dimensional homogeneous potentials

    • Authors: G. Bozis, T.A. Kotoulas
    • Year: 2005
    • Citations: 21
    • Source: Inverse Problems, 21(1), 343

  • Planar retrograde periodic orbits of the asteroids trapped in two-body mean motion resonances with Jupiter

    • Authors: T. Kotoulas, G. Voyatzis
    • Year: 2020
    • Citations: 20
    • Source: Planetary and Space Science, 182, 104846

  • On the bifurcation and continuation of periodic orbits in the three-body problem

    • Authors: K.I. Antoniadou, G. Voyatzis, T. Kotoulas
    • Year: 2011
    • Citations: 20
    • Source: International Journal of Bifurcation and Chaos, 21(08), 2211-2219

  • Three-dimensional potentials producing families of straight lines (FSL)

    • Authors: G. Bozis, T.A. Kotoulas
    • Year: 2004
    • Citations: 19
    • Source: Rendiconti del Seminario della Facoltà di Scienze dell’Università di …

  • The dynamics of the 1:2 resonant motion with Neptune in the 3D elliptic restricted three-body problem

    • Authors: T.A. Kotoulas
    • Year: 2005
    • Citations: 17
    • Source: Astronomy & Astrophysics, 429(3), 1107-1115

  • Retrograde periodic orbits in 1/2, 2/3 and 3/4 mean motion resonances with Neptune

    • Authors: T. Kotoulas, G. Voyatzis
    • Year: 2020
    • Citations: 15
    • Source: Celestial Mechanics and Dynamical Astronomy, 132 (6-7), 33

  • Two-parametric families of orbits in axisymmetric potentials

    • Authors: T.A. Kotoulas, G. Bozis
    • Year: 2006
    • Citations: 12
    • Source: Journal of Physics A: Mathematical and General, 39(29), 9223

  • Construction of 3D potentials from a preassigned two-parametric family of orbits

    • Authors: M.C. Anisiu, T.A. Kotoulas
    • Year: 2006
    • Citations: 11
    • Source: Inverse Problems, 22(6), 2255

  • The dynamical stability of a Kuiper Belt-like region

    • Authors: A. Celletti, T. Kotoulas, G. Voyatzis, J. Hadjidemetriou
    • Year: –
    • Citations: 10
    • Source: Monthly Notices of the Royal Astronomical Society, 378(3), 1153-1164

 

Meichen Feng | Data Science | Best Researcher Award

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Prof. Meichen Feng | Data Science | Best Researcher Award

Professor at Shanxi Agricultural University, China.

Feng Meichen is a distinguished professor at Shanxi Agricultural University, specializing in crop ecology, precision agriculture, and agricultural information technology. As the Deputy Dean of the College of Agriculture, she has led 22 research projects, authored 82 SCI/Scopus-indexed papers, and secured 18 patents, demonstrating a strong commitment to advancing sustainable agriculture. With 988 citations and an H-index of 19, her work has significantly impacted agricultural innovation and technology. She has published 5 books, contributed to multiple academic committees, and serves on the editorial boards of leading agricultural journals. Her research focuses on improving crop yield, resource efficiency, and environmental sustainability, benefiting both academia and local farming communities. While her expertise is well-recognized in China, expanding global collaborations could further enhance her research impact. With a remarkable career in agricultural research and innovation, Feng Meichen is an outstanding candidate for the Best Researcher Award.

Professional Profile 

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Education

Feng Meichen holds an advanced degree in agriculture and crop ecology, equipping her with a deep understanding of agricultural information technology, precision farming, and ecological sustainability. Her academic journey has been dedicated to exploring innovative agricultural techniques that improve productivity while ensuring environmental sustainability. Through extensive research and continuous professional development, she has gained expertise in 3S technology (GIS, GPS, and remote sensing) and its application in modern agriculture. Her education has provided a strong foundation for her contributions to precision agriculture, crop management, and smart farming technologies. With a commitment to advancing agricultural science, she has successfully integrated academic knowledge with practical applications, benefiting both researchers and farming communities. Her ability to translate theoretical concepts into real-world solutions has made her a recognized leader in the field of crop science and agricultural technology.

Professional Experience

As a Professor and Deputy Dean at the College of Agriculture, Shanxi Agricultural University, Feng Meichen has established herself as a leader in agricultural research and education. She has successfully led 22 major research projects, contributing to advancements in crop ecology, precision farming, and smart agriculture. Her expertise extends beyond academia, as she actively collaborates with government agencies, research institutions, and industry leaders to develop sustainable farming practices. She has authored 82 peer-reviewed journal articles, secured 18 patents, and published 5 books, showcasing her multidisciplinary expertise. Additionally, she serves on the editorial boards of prestigious agricultural journals, including the Journal of Smart Agriculture and Shanxi Agricultural Sciences. She is also a member of multiple professional committees, influencing agricultural policies and research directions in China. Her extensive academic, research, and administrative experience highlights her dedication to advancing agricultural science and technology for long-term sustainability.

Research Interests

Feng Meichen’s research focuses on crop ecology, precision agriculture, and agricultural information technology, with an emphasis on sustainable and smart farming solutions. She integrates 3S technology (GIS, GPS, remote sensing) with crop production models to enhance agricultural efficiency, resource management, and environmental conservation. Her work aims to optimize crop yield, reduce environmental impact, and improve agricultural decision-making processes. She is particularly interested in applying artificial intelligence and big data analytics to develop predictive models for crop health monitoring and precision irrigation systems. Her research extends to organic dryland agriculture, where she explores climate-resilient farming techniques. By collaborating with industry experts, policymakers, and farmers, she ensures that her research findings have practical applications that benefit the agricultural sector. Her commitment to advancing smart agriculture technologies positions her as a pioneering researcher in the field of modern agriculture.

Awards and Honors

Feng Meichen has received multiple awards and recognitions for her outstanding contributions to agricultural science and research. As a Deputy Chief Expert in the Shanxi Modern Agricultural Specialty Grain Industry Technology System, she has played a pivotal role in shaping agricultural policies and technologies. Her patents and scientific contributions have earned her recognition at national and provincial levels. She has been honored by Shanxi Agricultural University and various academic organizations for her contributions to precision farming, agricultural technology development, and ecological sustainability. She is a member of several prestigious agricultural committees, including the China Modern Agriculture Graduate School and the Chinese Society of Crops. Through her active involvement in academic and industry collaborations, she continues to make a lasting impact on the agricultural sector. Her dedication to agricultural innovation and sustainability has established her as a leading researcher and academician.

Conclusion

Feng Meichen is a highly accomplished researcher, academic leader, and innovator in agricultural science. With extensive research contributions, patents, and leadership roles, she has significantly advanced the fields of crop ecology, precision agriculture, and smart farming technologies. Her work has not only improved crop productivity and resource efficiency but also contributed to sustainable farming practices that benefit both academic research and practical applications. While her impact is widely recognized in China, expanding international collaborations and industry partnerships could further elevate her global research influence. Her dedication to scientific excellence, innovation, and sustainability makes her an outstanding candidate for the Best Researcher Award.

Publications Top Noted

2025 Publications

🔹 Evaluating the Potential of Airborne Hyperspectral Imagery in Monitoring Common Beans with Common Bacterial Blight at Different Infection Stages

  • Authors: Binghan Jing, Jiachen Wang, Xin Zhang, Xiaoxiang Hou, Kunming Huang, Qianyu Wang, Yiwei Wang, Yaoxuan Jia, Meichen Feng, Wude Yang et al.
  • Year: 2025
  • DOI: 10.1016/j.biosystemseng.2025.02.002
  • Source: Biosystems Engineering (Crossref)

🔹 Potential Impacts of Climate Change on the Spatial Distribution Pattern of Naked Oats in China

  • Authors: Zhenwei Yang, Xujing Yang, Yuheng Huang, Yalin Zhang, Yao Guo, Meichen Feng, Mingxing Qin, Ning Jin, Muhammad Amjad, Chao Wang et al.
  • Year: 2025
  • DOI: 10.3390/agronomy15020362
  • Source: Agronomy (Crossref)

2024 Publications

🔹 A Model for the Detection of β-Glucan Content in Oat Grain Based on Near Infrared Spectroscopy

  • Authors: Yang Z., Cheng Z., Su P., Wang C., Qin M., Song X., Xiao L., Yang W., Feng M., Zhang M.
  • Year: 2024
  • DOI: 10.1016/j.jfca.2024.106105
  • Source: Journal of Food Composition and Analysis (Scopus – Elsevier)

🔹 Combined Use of Spectral Resampling and Machine Learning Algorithms to Estimate Soybean Leaf Chlorophyll

  • Authors: Gao C., Li H., Wang J., Zhang X., Huang K., Song X., Yang W., Feng M., Xiao L., Zhao Y. et al.
  • Year: 2024
  • DOI: 10.1016/j.compag.2024.108675
  • Source: Computers and Electronics in Agriculture (Scopus – Elsevier)

🔹 Efficient Prediction of SOC and Aggregate OC Components by Continuous Wavelet Transform Spectra Under Different Feature Selection Methods

  • Authors: Yang S., Wang Z., Ji C., Hao Y., Liang Z., Yan X., Qiao X., Feng M., Xiao L., Song X. et al.
  • Year: 2024
  • DOI: 10.1016/j.compag.2023.108550
  • Source: Computers and Electronics in Agriculture (Scopus – Elsevier)

🔹 Prediction of the Potential Distribution and Analysis of the Freezing Injury Risk of Winter Wheat on the Loess Plateau Under Climate Change

  • Authors: Qing Liang, Xujing Yang, Yuheng Huang, Zhenwei Yang, Meichen Feng, Mingxing Qing, Chao Wang, Wude Yang, Zhigang Wang, Meijun Zhang et al.
  • Year: 2024
  • Source: Journal of Integrative Agriculture

2023 Publications

🔹 AMF Inoculation Positively Regulates Soil Microbial Activity and Drought Tolerance of Oat

  • Authors: Li Y., Li L., Zhang B., Lü Y.-F., Feng M.-C., Wang C., Song X.-Y., Yang W.-D., Zhang M.-J.
  • Year: 2023
  • DOI: 10.11674/zwyf.2022561
  • Source: Journal of Plant Nutrition and Fertilizers (Scopus – Elsevier)

🔹 Analyzing Protein Concentration from Intact Wheat Caryopsis Using Hyperspectral Reflectance

  • Authors: Zhang X., Hou X., Su Y., Yan X., Qiao X., Yang W., Feng M., Kong H., Zhang Z., Shafiq F. et al.
  • Year: 2023
  • DOI: 10.21203/rs.3.rs-2887647/v1
  • Source: Research Square

🔹 Hyperspectral Monitoring of Growth and Physiology Parameters of Winter Wheat Based on Different Quantification Methods

  • Authors: Wang Z.-G., Yang S., Feng M.-C., Yang W.-D., Liang Q., Yang X.-J., Yan X.-B., Sun X.-K., Qin M.-X., Wang C. et al.
  • Year: 2023
  • DOI: 10.2139/ssrn.4535833
  • Source: SSRN

🔹 Identification of Structural Variations Related to Drought Tolerance in Wheat (Triticum aestivum L.)

  • Authors: Zhao J., Li X., Qiao L., Zheng X., Wu B., Guo M., Feng M., Qi Z., Yang W., Zheng J.
  • Year: 2023
  • DOI: 10.1007/s00122-023-04283-4
  • Source: Theoretical and Applied Genetics (Scopus – Elsevier)

 

 

Muhammad Mudassar Hassan | Graph Theory | Best Researcher Award

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Dr. Muhammad Mudassar Hassan | Graph Theory | Best Researcher Award

Researcher at Anhui University, Hefei, China.

Muhammad Mudassar Hassan is a dedicated researcher at Anhui University, Hefei, China, specializing in applied mathematics, chemoinformatics, and structural engineering. His research primarily focuses on the comparative and computational study of Zagreb Connection Indices in chemical graphs, leading to the development of modified indices that enhance structural analysis in graph theory. As the first author of all his research articles, he has contributed to SCI-indexed journals, reflecting the quality of his work. He actively collaborates on various research projects and is a member of the American Mathematical Society. Additionally, he has a patent under process, showcasing his innovative contributions. However, his citation index remains relatively low, and he lacks editorial roles, published books, and industry collaborations. Strengthening these areas could further establish his research impact. With continued publications and broader academic engagement, he has the potential to make significant advancements in his field and become a strong candidate for the Best Researcher Award.

Professional Profile 

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Education

Muhammad Mudassar Hassan has a strong academic background in applied mathematics, which forms the foundation of his research expertise. He has pursued higher education with a focus on mathematical modeling, graph theory, and chemoinformatics, equipping him with the necessary skills to analyze complex chemical structures. His academic journey has been marked by rigorous training in computational methods, topological indices, and structural graph theory, allowing him to develop innovative approaches in these areas. Throughout his studies, he has actively engaged in research, contributing to scientific advancements in his field. His commitment to continuous learning and exploration of mathematical applications in chemistry and structural engineering has helped him establish a solid theoretical and practical foundation. By integrating computational techniques with applied mathematics, he has positioned himself as a researcher capable of addressing real-world scientific challenges. His educational background serves as a strong base for his ongoing research and future contributions.

Professional Experience

Muhammad Mudassar Hassan is a researcher at Anhui University, Hefei, China, where he focuses on applied mathematics and graph theory. His professional work revolves around the computational study of Zagreb Connection Indices and other degree-based topological indices, contributing to advancements in chemoinformatics and structural engineering. He has led multiple research projects as the first author of all his published articles, demonstrating his expertise in independent research. Although he does not currently hold editorial positions, he has collaborated with researchers on various projects, broadening his professional experience. Additionally, he is a member of the American Mathematical Society, which reflects his active engagement in the mathematical research community. While his professional experience is centered on academia, expanding into industry-based research or consultancy projects could further enhance his impact. His current work highlights his strong analytical skills and dedication to advancing mathematical applications in chemical graph theory and computational modeling.

Research Interest

Muhammad Mudassar Hassan’s research interests lie at the intersection of applied mathematics, chemoinformatics, and structural engineering. His primary focus is on the development and computational analysis of Zagreb Connection Indices in chemical graphs, which have proven to be essential in understanding structural properties. His work extends to degree-based topological indices, which help in characterizing molecular structures mathematically. His research contributes to both theoretical and practical advancements, as these indices are widely used in cheminformatics, drug discovery, and materials science. He is particularly interested in improving and modifying existing mathematical models to enhance their applicability in real-world chemical and structural problems. His studies involve extensive computational analysis, making his research relevant to data-driven scientific advancements. As a researcher, he continuously seeks to explore new mathematical methodologies that can further improve the understanding and application of graph theory in scientific domains. His work reflects his passion for interdisciplinary mathematical research.

Awards and Honors

Muhammad Mudassar Hassan’s academic and research contributions have been recognized through his membership in the American Mathematical Society, a prestigious organization in the field of mathematics. While he has made valuable contributions to applied mathematics and cheminformatics, he has yet to receive major individual awards or honors in recognition of his research. His publications in SCI-indexed journals demonstrate his credibility as a researcher, and his patent under process indicates his innovative potential. Though he has not yet held editorial positions or received industry-based accolades, his research contributions suggest promising potential for future recognition. Strengthening his academic presence through increased citations, award presentations, and involvement in professional committees could enhance his prospects for receiving distinguished awards. With continued dedication to publishing high-impact research and broadening his academic influence, he is well-positioned to earn honors that acknowledge his expertise in mathematical modeling and computational graph theory.

Conclusion

Muhammad Mudassar Hassan is a dedicated researcher with expertise in applied mathematics, particularly in the computational study of Zagreb Connection Indices and topological indices in chemical graphs. His research contributions, published in SCI-indexed journals, demonstrate his commitment to advancing graph theory applications in cheminformatics and structural engineering. While he has established himself as a promising academic researcher, expanding his influence through higher citation impact, editorial roles, industry collaborations, and additional publications could further strengthen his research profile. His patent under process highlights his potential for innovation, and his membership in the American Mathematical Society reflects his professional engagement. With continued research output and broader academic contributions, he has the potential to achieve greater recognition in his field. By focusing on increasing research impact and networking within the scientific community, he could further establish himself as a leading researcher and a strong candidate for prestigious academic awards in the future.

Publications Top Noted

  • Title: Connection-based modified Zagreb indices of Boron triangular sheet BTS (m, n)

    • Authors: MM Hassan, S Jabeen, H Ali, P Ali
    • Year: 2023
    • Citations: 5
    • Source: Molecular Physics

  • Title: Topological descriptors of molecular networks via reverse degree

    • Authors: MM Hassan
    • Year: 2024
    • Citations: 4
    • Source: Polycyclic Aromatic Compounds

  • Title: Molecular networks via reduced reverse degree approach

    • Authors: MM Hassan, XF Pan, DM Yu, MS Sardar
    • Year: 2025
    • Citations: –
    • Source: Journal of Molecular Graphics and Modelling

  • Title: Computation of connection-based Zagreb indices in chain graphs and triangular sheets

    • Authors: MM Hassan, A Waqar, H Ali, P Ali
    • Year: 2024
    • Citations: 3
    • Source: Journal of Coordination Chemistry

  • Title: Connection Number-based Multiplicative Zagreb Indices of Chemical Structures

    • Authors: MM Hassan
    • Year: 2023
    • Citations: 2
    • Source: Current Organic Chemistry

  • Title: Molecular structure of DNA via Zagreb connection descriptors

    • Authors: MM Hassan, XF Pan
    • Year: 2024
    • Citations: 1
    • Source: The European Physical Journal E

 

 

 

Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

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Dr. Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

Professor at Siberian Federal University, Russia

Professor Vladimir Kodnyanko, a Doctor of Technical Sciences, serves as a Professor in the Department of Standardization, Metrology, and Quality Management at the Polytechnic Institute of Siberian Federal University. Born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory, he graduated from Krasnoyarsk State University in 1974 with a degree in Mathematics. His career at Krasnoyarsk Polytechnic Institute began in 1974, progressing from junior researcher to full professor by 2002. Professor Kodnyanko earned his Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow, and his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. His research focuses on rapid mathematical modeling and the development of gas-static and hydrostatic bearings, leading to 186 publications, including six monographs, and 39 patents. He has been recognized with multiple honors, such as the honorary title of professor at KSTU in 2001 and an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. In 2015, he joined the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS.

Professional Profile 

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Education

Professor Vladimir Kodnyanko was born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory. He pursued higher education at Krasnoyarsk State University, earning a degree in Mathematics in 1974. His academic journey continued with postgraduate studies, leading to a Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow. Demonstrating his commitment to scientific advancement, he obtained his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. Throughout his educational journey, Professor Kodnyanko developed a strong foundation in mathematical modeling and engineering applications, which later became central to his research. His expertise in applied mathematics and mechanical engineering has greatly contributed to his innovative approaches in the field of gas-static and hydrostatic bearings. His educational achievements laid the groundwork for a distinguished career in academia, research, and technological development, positioning him as a leading expert in standardization, metrology, and quality management.

Professional Experience

Professor Vladimir Kodnyanko’s professional career spans several decades, beginning in 1974 when he joined Krasnoyarsk Polytechnic Institute as a junior researcher. Over the years, he steadily advanced through academic ranks, serving as an assistant, associate professor, and eventually earning the title of full professor in 2002. His expertise and contributions led him to the Polytechnic Institute of Siberian Federal University, where he currently serves as a professor in the Department of Standardization, Metrology, and Quality Management. His career is marked by active participation in academic councils and professional organizations, including his role in the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS. Professor Kodnyanko has also been instrumental in mentoring young researchers, supervising doctoral students, and leading research projects in applied mathematics and engineering. His dedication to academia has significantly influenced the development of precision engineering and mathematical modeling techniques.

Research Interest

Professor Vladimir Kodnyanko’s research focuses on rapid mathematical modeling, with a particular emphasis on gas-static and hydrostatic bearings. His work integrates applied mathematics and engineering principles to enhance the efficiency and performance of high-precision mechanical systems. His studies explore the dynamics of fluid lubrication, optimization of bearing structures, and the application of mathematical models to predict system behavior under various operating conditions. His research has practical applications in aerospace, automotive, and industrial machinery, where high-performance bearings are critical for operational reliability. Professor Kodnyanko has authored 186 scientific publications, including six monographs, and holds 39 patents related to his innovations in mechanical engineering. His pioneering work has contributed significantly to advancing the field of tribology, improving the design and functionality of precision bearings used in various industries. Through his research, he continues to bridge the gap between theoretical mathematics and practical engineering applications.

Awards and Honors

Throughout his distinguished career, Professor Vladimir Kodnyanko has received numerous awards and honors recognizing his contributions to science and engineering. In 2001, he was awarded the honorary title of professor at Krasnoyarsk State Technical University in acknowledgment of his academic and research achievements. His dedication to advancing mathematical modeling and mechanical engineering earned him an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. His contributions to the field of precision engineering and bearing technology have positioned him as a leading expert in his domain. In addition to institutional honors, he has been actively involved in national and international scientific communities, further solidifying his influence in engineering research. His recognition extends beyond academia, as his work has practical industrial applications that have improved the efficiency and reliability of mechanical systems. His awards reflect his lasting impact on science, engineering, and technological innovation.

Conclusion

Professor Vladimir Kodnyanko’s career exemplifies dedication to research, education, and technological advancement. With a strong foundation in mathematics and engineering, he has made groundbreaking contributions to rapid mathematical modeling and the development of gas-static and hydrostatic bearings. His extensive body of work, including 186 scientific publications and 39 patents, showcases his influence in precision engineering. As a professor at the Polytechnic Institute of Siberian Federal University, he continues to shape the next generation of researchers and engineers. His leadership in academic councils, research institutions, and industrial collaborations highlights his commitment to advancing scientific knowledge and engineering applications. Recognized with multiple prestigious awards, he remains a respected authority in his field. Through his research, mentorship, and professional contributions, Professor Kodnyanko has left an indelible mark on applied mathematics and mechanical engineering, inspiring future innovations in the field.

Publications Top Noted

  • Title: Theoretical Study of the Static and Dynamic Characteristics of a Slotted Adaptive Hydrostatic Thrust Bearing with a Regulator of the Lubricant Output Flow
    Authors: V.A. Kodnyanko, A.S. Kurzakov, A.V. Surovtsev, S. Belyakova, L. Gogol
    Year: 2022
    Citations: 1
    Source: Mathematics

  • Title: Theoretical Study on Compliance and Stability of Active Gas-Static Journal Bearing with Output Flow Rate Restriction and Damping Chambers
    Authors: V.A. Kodnyanko, A.S. Kurzakov, O. Grigorieva, A.V. Surovtsev, L.V. Strok
    Year: 2021
    Citations: Not specified
    Source: Lubricants

  • Title: Theoretical Study on Dynamics Quality of Aerostatic Thrust Bearing with External Combined Throttling
    Authors: V.A. Kodnyanko, S.N. Shatokhin
    Year: 2020
    Citations: 21
    Source: FME Transactions 48 (2)

  • Title: Mathematical Modeling on Statics and Dynamics of Aerostatic Thrust Bearing with External Combined Throttling and Elastic Orifice Fluid Flow Regulation
    Authors: V. Kodnyanko, S. Shatokhin, A. Kurzakov, Y. Pikalov
    Year: 2020
    Citations: 16
    Source: Lubricants 8 (5), 57

  • Title: Method for Calculating the Static Characteristics of Radial Hydrostatic Compensator of Machine Tool Bearings Deformation
    Authors: V.A. Kodnyanko
    Year: 2021
    Citations: 4
    Source: Periodica Polytechnica Transportation Engineering 49 (2), 114-119

  • Title: Compliance of Gas-Dynamic Bearing with Elastic Compensator of Movement
    Authors: V.A. Kodnyanko, A.S. Kurzakov
    Year: 2017
    Citations: 3
    Source: Journal of Siberian Federal University. Engineering & Technologies 10 (5), 657

  • Title: Directional Splines for Economic Analytics
    Authors: V. Kodnyanko
    Year: 2020
    Citations: 2
    Source: Economic Computation & Economic Cybernetics Studies & Research 54 (3)

  • Title: On Computational Redundancy of the Dichotomous Search and Conditional Minimization of Unimodal Functions by the Economical Dichotomous Search
    Authors: V.A. Kodnyanko
    Year: 2019
    Citations: 2
    Source: Sistemy i Sredstva Informatiki [Systems and Means of Informatics] 29 (1)

  • Title: Stability of Energy-Saving Adaptive Journal Hydrostatic Bearing with a Restriction of the Output Lubricant Stream
    Authors: V.A. Kodnyanko
    Year: 2012
    Citations: 2
    Source: Engineering & Technologies 4 (6), 674-684

 

liang cao | Interdisciplinary Mathematics | Best Researcher Award

Published on by Math Scientist

Dr. liang cao | Interdisciplinary Mathematics | Best Researcher Award

lecturer at Hunan Institute of Engineering, China 

Dr. Liang Cao, a faculty member at the Hunan Institute of Engineering, specializes in reliability analysis, wind energy technology, and advanced manufacturing. With a strong academic foundation from Xiangtan University, he has led funded research projects, including one supported by the Natural Science Foundation of Hunan Province. His contributions to structural reliability analysis include developing machine learning-based surrogate models for evaluating low failure probabilities, advancing computational efficiency in engineering. He has published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics and holds multiple patents in mechanical engineering. A member of the Society of Mechanical Engineering, Dr. Cao’s research significantly impacts reliability-based design optimization, particularly in wind turbine gearboxes and robotic mechanisms. While his academic influence is growing, enhancing citation impact, industry collaborations, and editorial leadership could further strengthen his profile. His work continues to shape advancements in probabilistic mechanics and reliability engineering.

Professional Profile 

Scopus Profile
ORCID Profile

Education 

Dr. Liang Cao obtained his academic training from Xiangtan University, where he specialized in mechanical engineering. His education provided a strong foundation in reliability analysis, wind energy technology, and advanced manufacturing. During his academic journey, he gained expertise in probabilistic mechanics, structural safety, and optimization techniques, which later became the focus of his research. His studies emphasized the integration of computational modeling and experimental methods, equipping him with the skills necessary for advancing engineering reliability. Through coursework and research projects, he developed a deep understanding of mechanical system optimization, particularly in developing surrogate models for evaluating failure probabilities. His education laid the groundwork for his career in academia, where he continues to apply theoretical and computational approaches to improve structural and mechanical reliability. With a commitment to academic excellence, Dr. Cao remains engaged in continuous learning and professional development to further enhance his contributions to the field.

Professional Experience 

Dr. Liang Cao serves as a faculty member at the Hunan Institute of Engineering, where he contributes to teaching and research in mechanical engineering. His expertise in reliability analysis and design optimization has enabled him to guide students and researchers in developing innovative solutions for mechanical system reliability. Over the years, he has successfully led projects funded by the Natural Science Foundation of Hunan Province, further solidifying his reputation as an expert in the field. His work integrates computational modeling, machine learning, and structural safety to improve the performance of mechanical systems, particularly in wind turbine gearboxes and robotic mechanisms. Beyond research, he is actively involved in mentoring students and collaborating with peers to advance mechanical engineering methodologies. While he has made significant strides in academia, expanding his industry collaborations and assuming editorial or leadership roles would further strengthen his professional influence and contributions to the field.

Research Interest

Dr. Liang Cao’s research focuses on reliability analysis, probabilistic mechanics, and structural optimization in mechanical engineering. His work integrates machine learning techniques with reliability-based design optimization to improve the efficiency and accuracy of failure predictions. A key aspect of his research is the development of surrogate models, such as Radial Basis Function Neural Networks (RBFNN), for evaluating low failure probabilities with enhanced computational efficiency. His studies have direct applications in wind turbine gearboxes, robotic mechanisms, and piezoelectric dispensing systems, contributing to safer and more robust mechanical designs. Additionally, he explores multi-source uncertainty modeling to enhance structural reliability under variable conditions. His research is published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics. Moving forward, expanding interdisciplinary collaborations and securing larger research grants could amplify the impact of his work on global mechanical engineering challenges.

Awards and Honors 

Dr. Liang Cao has received recognition for his contributions to mechanical engineering, particularly in reliability analysis and probabilistic mechanics. His research achievements have been supported by the Natural Science Foundation of Hunan Province, which funded his work on sliding bearing lubrication reliability in fan gearboxes. Additionally, his multiple patents reflect his innovative contributions to structural safety and optimization in mechanical systems. While he has gained credibility through journal publications in esteemed outlets such as Probabilistic Engineering Mechanics and Smart Materials and Structures, broader recognition through industry awards and professional society honors could further elevate his profile. Active participation in international research collaborations and engineering awards may increase his chances of securing prestigious research awards. By continuing to contribute to mechanical engineering advancements, Dr. Cao has the potential to earn more accolades, further solidifying his standing as a leading researcher in reliability engineering and mechanical system optimization.

Conclusion 

Dr. Liang Cao is an accomplished researcher in mechanical engineering, specializing in reliability analysis, probabilistic mechanics, and structural optimization. With a strong educational foundation from Xiangtan University and professional experience at the Hunan Institute of Engineering, he has made significant contributions to enhancing mechanical system safety and efficiency. His research, funded by the Natural Science Foundation of Hunan Province, has led to innovative developments in surrogate modeling and uncertainty analysis. He has published extensively in high-impact journals and holds multiple patents, reflecting his commitment to advancing engineering methodologies. While his academic impact is commendable, expanding his industry collaborations, citation influence, and leadership roles in research communities could further enhance his professional standing. With a growing reputation in reliability engineering, Dr. Cao is poised to make even greater contributions to mechanical system design and optimization, positioning himself as a leading figure in applied engineering research.

Publications Top Noted

  • Title: Optimizing Dispensing Performance of Needle-Type Piezoelectric Jet Dispensers: A Novel Drive Waveform Approach
    Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
    Year: 2024
    Source: Smart Materials and Structures

  • Title: Theoretical Study and Physical Tests on the Influence of Process Parameters of Needle on Dispensing Quality
    Authors: Liang Cao, S.G. Gong, S.Y. Duan, Y.R. Tao
    Year: 2023
    Source: Optik

  • Title: A RBFNN Based Active Learning Surrogate Model for Evaluating Low Failure Probability in Reliability Analysis
    Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
    Year: 2023
    Source: Probabilistic Engineering Mechanics

  • Title: Optimisation Design for Wind Turbine Mainshaft Bearing Based on Lubrication Reliability
    Authors: Liang Cao
    Year: 2020
    Source: International Journal of Reliability and Safety

  • Title: A Novel Evidence-Based Fuzzy Reliability Analysis Method for Structures
    Authors: Liang Cao
    Year: 2017
    Source: Structural and Multidisciplinary Optimization

  • Title: Safety Analysis of Structures with Probability and Evidence Theory
    Authors: Liang Cao
    Year: 2016
    Source: International Journal of Steel Structures

 

Shen Wang | Probability Theory | Best Researcher Award

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Dr. Shen Wang | Probability Theory | Best Researcher Award

Assistant professor at College of Science/Civil Aviation University of China, China

Dr. Shen Wang, an Assistant Professor at the Civil Aviation University of China, specializes in stochastic analysis, particularly in McKean-Vlasov Stochastic Differential Equations (SDEs) and invariant probability measures. He holds a Ph.D. from Tianjin University and has contributed to mathematical modeling through five SCI/Scopus-indexed journal publications and two patents. His research applies Wang’s Harnack inequality and the Banach fixed point theorem to establish weak well-posedness for SDEs with integrable drift. Dr. Wang has editorial appointments (2) and research collaborations (4), demonstrating academic engagement. However, with only one citation index, limited industry projects, and no professional memberships, his research impact remains in its early stages. Expanding his citation count, industry collaborations, and leadership roles in awards or professional organizations would further strengthen his profile. While he exhibits strong theoretical expertise, greater influence in applied research and broader academic recognition would enhance his suitability for prestigious awards like the Best Researcher Award in the future.

Professional Profile 

Scopus Profile

Education

Dr. Shen Wang earned his Ph.D. from Tianjin University, a leading institution recognized for its research in mathematics and applied sciences. His doctoral studies focused on stochastic analysis, particularly McKean-Vlasov Stochastic Differential Equations (SDEs) and their applications in probability theory and mathematical modeling. Through rigorous academic training, he developed expertise in advanced mathematical concepts, including Wang’s Harnack inequality and the Banach fixed point theorem. His education provided a strong foundation in both theoretical and applied aspects of stochastic processes, equipping him with the analytical tools necessary for high-impact research. His academic journey has been instrumental in shaping his current research directions, allowing him to contribute to the mathematical understanding of stochastic systems. With a commitment to continued learning, Dr. Wang actively engages with new methodologies and techniques that enhance his ability to address complex problems in stochastic modeling and probability theory.

Professional Experience

Dr. Shen Wang is currently an Assistant Professor at the Civil Aviation University of China, where he is involved in research and teaching in the field of stochastic analysis. His professional role includes mentoring students, conducting advanced mathematical research, and collaborating with fellow scholars on theoretical and applied probability studies. As an emerging researcher, he has undertaken one research project and has been actively contributing to the academic community through editorial roles in two journals and four research collaborations. While his current experience is primarily in academia, his work in stochastic differential equations and invariant probability measures has potential applications in finance, physics, and engineering. Expanding his research into interdisciplinary areas and industry partnerships would strengthen his professional impact. His teaching and mentoring efforts also help cultivate the next generation of mathematicians, reinforcing his role as an academic leader.

Research Interest

Dr. Wang’s primary research interests lie in stochastic analysis, probability theory, and mathematical modeling, with a focus on McKean-Vlasov Stochastic Differential Equations (SDEs) and their applications. His work involves investigating the well-posedness of these equations using Wang’s Harnack inequality and the Banach fixed point theorem to explore solutions under integrable drift conditions. His research extends to the existence and uniqueness of invariant probability measures for symmetric McKean-Vlasov SDEs and stochastic Hamiltonian systems. These mathematical frameworks are crucial in understanding probabilistic models in physics, finance, and engineering. While his contributions are largely theoretical, they have significant potential for real-world applications in areas such as stochastic control, machine learning, and optimization. To enhance his research impact, expanding into applied domains and increasing interdisciplinary collaborations with data scientists, economists, and engineers would be beneficial.

Awards and Honors

Dr. Wang’s contributions to stochastic analysis have led to notable academic achievements, including five SCI/Scopus-indexed journal publications and two patents related to his research. His editorial roles in peer-reviewed journals and four academic collaborations further highlight his growing influence in the mathematical community. While he has yet to receive major international recognitions, his work in stochastic differential equations positions him as a promising researcher. To strengthen his awards portfolio, Dr. Wang could pursue best paper awards, fellowships, and research grants, as well as increase engagement with international mathematical societies. His contributions to probability theory and differential equations indicate significant potential for future accolades in both theoretical and applied mathematics. Expanding his professional memberships and participating in prestigious awards would also enhance his recognition and increase his chances of receiving higher honors.

Conclusion

Dr. Shen Wang is an emerging researcher in stochastic analysis, with expertise in McKean-Vlasov SDEs, Wang’s Harnack inequality, and the Banach fixed point theorem. As an Assistant Professor at the Civil Aviation University of China, he has contributed to the field through five indexed journal publications, two patents, and multiple editorial and collaborative roles. However, with limited citations, industry engagement, and professional memberships, his research impact remains in the early stages. Strengthening his academic presence through interdisciplinary collaborations, industry partnerships, and leadership in professional organizations would further elevate his standing. While he is a promising candidate for future academic honors, additional efforts in expanding his research influence and citation impact are necessary to position him as a top contender for prestigious awards like the Best Researcher Award.

Publications Top Noted

Title: Weak Solution and Invariant Probability Measure for McKean-Vlasov SDEs with Integrable Drifts

Authors: Xing Huang, Shen Wang, Fenfen Yang

Year: 2024

Source: Journal of Mathematical Analysis and Applications

Zhiwei Shan | Statistics | Best Researcher Award

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Assist. Prof. Dr. Zhiwei Shan | Statistics | Best Researcher Award

Assistant Professor Zhi-Wei Shan is a distinguished researcher in civil engineering, specializing in structural strengthening, structural health monitoring, and offshore structures. Currently serving at Southeast University, China, he holds a Ph.D. from The University of Hong Kong and has previously worked as a research assistant at the same institution. His contributions are reflected in numerous high-impact journal publications in Engineering Structures, Journal of Constructional Steel Research, and Structural Design of Tall and Special Buildings. He has led and co-led multiple research projects funded by the National Natural Science Foundation of China (NSFC), focusing on structural performance, damage identification, and seismic resilience. A recipient of the HKIE Structural Division Excellence Award, he also serves on editorial boards of prestigious journals. With his expertise in advancing structural engineering innovations, his work significantly contributes to the sustainability and resilience of modern infrastructure, making him a leading figure in his field.

Professional Profile 

Scopus Profile

Education

Assistant Professor Zhi-Wei Shan has an extensive academic background in civil engineering, beginning with a B.Eng. from Southeast University in 2014, followed by an M.Phil. from Harbin Institute of Technology in 2016. He then pursued his Ph.D. at The University of Hong Kong (HKU), completing it in 2020, where he focused on structural engineering and resilience-based design. His educational journey provided him with a strong foundation in structural analysis, seismic performance, and material engineering. During his Ph.D., he actively contributed to research projects related to reinforced concrete structures, steel structures, and novel strengthening techniques, which shaped his expertise in the field. His education at top-tier institutions, coupled with exposure to cutting-edge research and collaborations, has positioned him as a leading scholar in civil engineering, driving advancements in structural performance, monitoring, and sustainable infrastructure solutions.

Professional Experience

Dr. Zhi-Wei Shan’s professional journey reflects a steady progression in research and academic excellence. After earning his Ph.D. in 2020, he worked as a Research Assistant at The University of Hong Kong, where he contributed to projects involving innovative strengthening techniques and damage detection in structures. In 2021, he was appointed as an Assistant Professor at the School of Civil Engineering, Southeast University, where he continues to lead groundbreaking research on structural resilience, offshore structures, and health monitoring. He has played a crucial role in securing multiple research grants from prestigious funding agencies, including the National Natural Science Foundation of China (NSFC). In addition to research, he is actively involved in mentoring graduate students, overseeing laboratory experiments, and teaching advanced courses in structural engineering. His blend of academic, research, and industry collaboration experience enables him to bridge the gap between theoretical advancements and real-world applications in structural engineering.

Research Interest

Dr. Shan’s research interests lie at the intersection of structural engineering, resilience, and health monitoring. His work primarily focuses on structural strengthening techniques, particularly in enhancing the seismic resilience and durability of reinforced concrete (RC) and steel structures. His expertise extends to structural health monitoring, where he develops innovative methodologies for damage detection, performance assessment, and service-life prediction of infrastructures. He has also made significant contributions to offshore structures, particularly in optimizing their design against environmental stressors and mechanical loads. His research integrates computational modeling, experimental validation, and real-world applications, providing holistic solutions for the engineering community. By leveraging advanced materials, sensors, and analytical techniques, Dr. Shan’s work contributes to the future of sustainable, resilient, and intelligent infrastructure, ensuring structural safety and longevity in modern urban development.

Awards and Honors

Dr. Shan’s contributions to structural engineering have been widely recognized through various awards and honors. In 2021, he received the “Commendation Merit” under the R&D Award category of The HKIE Structural Division Excellence Award, highlighting his groundbreaking work in innovative strengthening techniques and structural resilience. Beyond his research achievements, he has gained recognition as an editorial board member for prestigious international journals such as Scientific Reports (Springer Nature), Infrastructures (MDPI), and Buildings (MDPI). Additionally, he serves as an Early Career Editor for Earthquake Engineering and Resilience (Wiley), further solidifying his role as a thought leader in structural engineering. His active engagement in editorial responsibilities, peer review, and international collaborations has contributed significantly to shaping the research landscape in civil engineering. His awards and professional affiliations underscore his commitment to advancing knowledge, fostering innovation, and mentoring the next generation of structural engineers.

Conclusion

Assistant Professor Zhi-Wei Shan is an outstanding researcher and academic leader in civil engineering, with expertise in structural strengthening, health monitoring, and offshore structures. His contributions through high-impact publications, funded research projects, and professional service make him a highly respected figure in his field. His commitment to advancing knowledge and bridging theoretical research with practical applications is evident in his teaching, mentoring, and editorial work. As a recipient of prestigious awards and research grants, Dr. Shan continues to drive innovations that enhance the safety, resilience, and sustainability of infrastructure. His future endeavors are expected to further revolutionize structural engineering methodologies, improve infrastructure resilience, and contribute to cutting-edge advancements in smart and sustainable construction technologies. His dedication to research and education ensures his continued impact on the global civil engineering community, positioning him as a leading scholar and innovator in structural engineering.

Publications Top Noted

 

Jiangming Xu | Control Theory | Best Researcher Award

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Dr. Jiangming Xu | Control Theory | Best Researcher Award

Shanghai at Shanghai Jiao Tong University, China

Jiangming Xu is a promising researcher specializing in dynamic systems, networked control, and semi-Markov systems. Currently pursuing a Ph.D. at Shanghai Jiao Tong University, he has demonstrated strong expertise through multiple high-impact publications in prestigious journals such as IEEE Transactions on Cybernetics, Automatica, and Information Sciences. His research focuses on protocol-based control, stability analysis, and sliding mode control, with applications in power systems, industrial automation, and cyber-physical systems. While his contributions are impressive, most of his papers position him as a co-author rather than a lead researcher, highlighting the need for independent research leadership. Expanding international collaborations, increasing citation impact, and securing research grants would further elevate his academic standing. With his solid foundation in applied mathematics and control theory, Jiangming Xu has significant potential to emerge as a leading expert in his field, making him a strong but evolving candidate for the Best Researcher Award.

Professional Profile 

Scopus Profile

Education

Jiangming Xu has built a strong academic foundation in applied mathematics and control systems. He earned his Bachelor of Science degree from the School of Mathematics and Information Sciences at Lingnan Normal University (2017–2021), followed by a Master of Science from Guangxi Normal University (2021–2024). Currently, he is pursuing a Ph.D. at the School of Mathematics and Statistics, Shanghai Jiao Tong University, a top-tier institution in China. His academic journey reflects a steady progression in mathematical modeling, system control, and nonlinear stability. Throughout his education, he has developed expertise in dynamic systems, stochastic processes, and optimization techniques, which have become the foundation of his research. His advanced studies focus on semi-Markov systems, event-triggered control, and stability analysis, positioning him as a rising researcher in his field. His continuous pursuit of knowledge in control theory and mathematical modeling showcases his commitment to contributing innovative solutions to real-world engineering and automation problems.

Professional Experience

Jiangming Xu’s professional experience primarily revolves around academic research and collaborations within top-tier Chinese institutions. While pursuing his graduate studies, he has been actively involved in research on control systems, collaborating with faculty members and researchers from leading universities. His work spans theoretical and applied aspects of networked control, dynamic stabilization, and semi-Markov systems. He has contributed to high-impact publications in prestigious journals, demonstrating his ability to conduct rigorous mathematical analysis and apply it to engineering challenges. His experience includes designing advanced control algorithms, analyzing nonlinear system stability, and working on sliding mode control methods for industrial applications. Despite being early in his career, he has showcased strong research potential through multiple journal contributions and collaborations. As he progresses in his Ph.D. studies, gaining hands-on experience in interdisciplinary projects, industry collaborations, or postdoctoral research will further strengthen his expertise and establish him as a leader in control theory and applied mathematics.

Research Interest

Jiangming Xu’s research interests lie in the intersection of control theory, applied mathematics, and dynamic system analysis. He focuses on networked control systems, semi-Markov processes, and nonlinear system stability, aiming to develop robust control strategies for complex engineering applications. His work on event-triggered control, sliding mode control, and probabilistic time-varying delays addresses challenges in power systems, industrial automation, and cyber-physical systems. He is particularly interested in protocol-based control techniques, which enhance system resilience and efficiency under uncertainties. His research also extends to singularly perturbed systems and neural network-based control, integrating artificial intelligence with traditional control methodologies. Jiangming Xu’s contributions advance theoretical frameworks and have practical implications for industries requiring stable and efficient automation. His work aligns with cutting-edge developments in intelligent control, making him a valuable contributor to both academia and industry. Expanding his research to interdisciplinary applications could further elevate his global impact.

Awards and Honors

Although Jiangming Xu has an impressive research record, his profile does not currently highlight any significant awards or honors. His achievements are primarily reflected in his high-quality publications in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Systems, Man, and Cybernetics, and Automatica. These publications signify his academic excellence and contributions to the field of control theory. Securing competitive research grants, fellowships, and academic awards would further strengthen his professional recognition. As he continues to expand his research impact, Jiangming Xu has strong potential to receive accolades for his work in mathematical modeling and control systems. Participation in international awards, winning best paper awards, and securing funding for innovative projects will further solidify his reputation. Given his strong research trajectory, it is expected that he will gain notable recognitions in the near future as he continues making significant contributions to applied mathematics and automation research.

Conclusion

Jiangming Xu is an emerging researcher with strong academic credentials, a focused research portfolio, and multiple high-impact publications in control theory and applied mathematics. His work on networked control, semi-Markov systems, and nonlinear stabilization demonstrates a solid understanding of theoretical and applied concepts in automation and system dynamics. While his contributions as a co-author are commendable, taking on more independent research leadership roles, securing competitive grants, and expanding international collaborations will elevate his academic stature. He has the potential to make groundbreaking contributions to control systems, particularly in enhancing stability and optimization techniques. To further strengthen his candidacy for prestigious research awards, he should focus on increasing citation impact, engaging in global research networks, and achieving greater recognition through awards and honors. With his current trajectory, Jiangming Xu is on the path to establishing himself as a leading expert in advanced control strategies, making him a promising candidate for future academic excellence awards.

Publications Top Noted

  • Title: “Protocol-Based Control for Semi-Markov Jump Systems with Dynamic Quantization”
    Authors: J. Xu, J. Cheng, et al.
    Year: 2022
    Source: IEEE Transactions on Circuits and Systems II: Express Briefs

  • Title: “Dynamic Event-Triggered Control for Semi-Markov Singularly Perturbed Systems with General Transition Rates”
    Authors: J. Xu, J. Cheng, et al.
    Year: 2023
    Source: IEEE Transactions on Systems, Man, and Cybernetics: Systems

  • Title: “Protocol-Based Sliding Mode Control for Fuzzy Semi-Markov Switching Systems with Multizone Probabilistic Time-Varying Delays”
    Authors: J. Xu, J. Cheng, et al.
    Year: 2025
    Source: IEEE Transactions on Systems, Man, and Cybernetics: Systems

  • Title: “Protocol-Based Sliding Mode Control for Singularly Perturbed Switching Systems with Sojourn Probabilities”
    Authors: J. Cheng, J. Xu, et al.
    Year: 2023
    Source: Automatica

  • Title: “Finite-Time Optimal Control for Markov Jump Systems with Singular Perturbation and Hard Constraints”
    Authors: J. Cheng, J. Xu, et al.
    Year: 2023
    Source: Information Sciences

  • Title: “Protocol-Based Load Frequency Control for Power Systems with Nonhomogeneous Sojourn Probabilities”
    Authors: J. Cheng, J. Xu, et al.
    Year: 2023
    Source: IEEE Transactions on Systems, Man, and Cybernetics: Systems

  • Title: “Neural Network-Based Sliding Mode Control for Semi-Markov Jumping Systems with Singular Perturbation”
    Authors: J. Cheng, J. Xu, et al.
    Year: 2024
    Source: IEEE Transactions on Cybernetics

  • Title: “Protocol-Based Sliding Mode Control for Singularly Perturbed Systems with Switching Parameters and Deception Attacks”
    Authors: C. Shen, J. Xu, et al.
    Year: 2024
    Source: Information Sciences

  • Title: “Protocol-Based Sliding Mode Control for Switched Systems with Multizone Probabilistic Time-Varying Delays”
    Authors: Z. Zhao, J. Xu, et al.
    Year: 2024
    Source: IEEE Transactions on Industrial Informatics

 

Maryam Alkandari | Analysis (Real, Complex, Functional) | Best Researcher Award

Published on by Math Scientist

Dr. Maryam Alkandari | Analysis (Real, Complex, Functional) | Best Researcher Award

Associate Professor at Kuwait University, Kuwait

Dr. Maryam Mohammad Alkandari is an accomplished Associate Professor in the Department of Mathematics at Kuwait University, specializing in Algebraic Geometric Coding Theory and Fractional Calculus. She earned her Ph.D. from the University of London, Imperial College, and has made significant contributions to mathematical research through numerous high-impact publications. Her work spans diverse areas, including differential equations, operational methods in fractional calculus, and mathematical education. She has secured multiple research grants and received institutional recognition for her contributions. In addition to her theoretical research, Dr. Alkandari has explored interdisciplinary applications, particularly in autism education and mathematical pedagogy. She has collaborated with esteemed researchers and co-authored a book on fractional operators published by Springer. With a strong academic background, a broad research portfolio, and a commitment to advancing mathematical knowledge, Dr. Alkandari continues to make valuable contributions to the field, enhancing both theoretical understanding and practical applications.

Professional Profile 

Google Scholar

Education

Dr. Maryam Mohammad Alkandari earned her Ph.D. from the University of London, Imperial College, specializing in Algebraic Geometric Coding Theory. Her doctoral research focused on decoding partial geometric codes, contributing to the field of algebraic coding theory. This strong mathematical foundation equipped her with expertise in pure and applied mathematics, particularly in algebraic structures and their applications. Her academic journey reflects a commitment to advancing mathematical theories and methodologies. She has since built on her education by expanding her research into operational calculus and fractional differential equations. With a solid background in both theoretical and computational mathematics, Dr. Alkandari has successfully applied her knowledge across multiple disciplines, making notable contributions to the field.

Professional Experience

Dr. Alkandari is an Associate Professor in the Department of Mathematics at Kuwait University, where she has played a pivotal role in research, teaching, and mentorship. She has successfully led multiple research projects, collaborating with national and international scholars in algebraic coding theory, fractional calculus, and differential equations. In addition to her research, she has contributed significantly to mathematical education, exploring innovative teaching methodologies, including the use of GeoGebra and applied behavior analysis for autism education. Her academic career has been marked by a dedication to fostering mathematical understanding among students and researchers. Through her involvement in curriculum development and her supervision of research projects, she has influenced the next generation of mathematicians. Dr. Alkandari’s commitment to interdisciplinary applications of mathematics further highlights her professional contributions, bridging theoretical knowledge with real-world problems.

Research Interest

Dr. Alkandari’s research interests lie in Algebraic Geometric Coding Theory, Fractional Calculus, and Differential Equations. She has explored the development of operational methods in fractional calculus and their applications to solving differential equations. Her work also extends to mathematical modeling, particularly in constructing partial algebraic geometric codes and exploring oscillation properties of differential equations. She has made notable contributions to fuzzy statistical analysis, demonstrating her ability to integrate various mathematical fields. Additionally, she has engaged in interdisciplinary research, investigating the effectiveness of mathematical teaching methods for autistic children. Her diverse research interests reflect a broad and deep commitment to advancing mathematical knowledge while addressing real-world challenges. By continually expanding the scope of her studies, Dr. Alkandari remains at the forefront of mathematical innovation.

Awards and Honors

Dr. Alkandari has received multiple awards and honors in recognition of her outstanding research contributions. She was awarded research grants for her work on operational methods in fractional calculus and has been recognized by Kuwait University’s Research Sector for her impactful publications. Several of her research papers have received unfunded rewards, highlighting their significance in advancing mathematical theories. Her collaborations with esteemed researchers and contributions to high-impact journals further reinforce her reputation as a distinguished mathematician. Additionally, her co-authored book on transmutations of fractional operators, published by Springer, stands as a testament to her scholarly excellence. These accolades reflect her dedication to the field and her ability to conduct research that has both theoretical and applied significance. Through her numerous achievements, Dr. Alkandari continues to contribute meaningfully to the global mathematical community.

Conclusion

Dr. Maryam Mohammad Alkandari is a distinguished mathematician whose work spans algebraic coding theory, fractional calculus, and mathematical education. With a Ph.D. from Imperial College London, she has established herself as a leading researcher in her field, publishing extensively in high-impact journals and securing prestigious research grants. Her contributions extend beyond pure mathematics, incorporating interdisciplinary applications such as autism education and advanced computational methods. Through her role as an Associate Professor at Kuwait University, she has influenced many students and researchers, fostering a deeper understanding of complex mathematical concepts. Her numerous awards and recognitions highlight her excellence and dedication to the field. Dr. Alkandari’s ongoing research, international collaborations, and commitment to mathematical advancement continue to solidify her position as a respected figure in academia, making significant contributions to both theoretical and applied mathematics.

Publications Top Noted

  • Operational calculus for the general fractional derivatives of arbitrary order
    M. Al-Kandari, L.A.-M. Hanna, Y. Luchko
    Year: 2022 | Citations: 18

  • Operational method for solving fractional differential equations with the left-and right-hand sided Erdélyi-Kober fractional derivatives
    L.A.-M. Hanna, M. Al-Kandari, Y. Luchko
    Year: 2020 | Citations: 16

  • A fuzzy-statistical tolerance interval from residuals of crisp linear regression models
    M. Al-Kandari, K. Adjenughwure, K. Papadopoulos
    Year: 2020 | Citations: 13

  • Half-linear differential equations of fourth order: oscillation criteria of solutions
    O. Bazighifan, K.S. Al-Ghafri, M. Al-Kandari, F. Ghanim, F. Mofarreh
    Year: 2022 | Citations: 7

  • Delay differential equations of fourth-order: oscillation and asymptotic properties of solutions
    O. Bazighifan, M. Al-Kandari, K.S. Al-Ghafri, F. Ghanim, S. Askar, G.I. Oros
    Year: 2021 | Citations: 7

  • Calculus 1 college students’ concept of function
    A.H. Alajmi, M.M. Al-Kandari
    Year: 2022 | Citations: 5

  • New Criteria for Oscillation of Half-Linear Differential Equations with p-Laplacian-like Operators
    O. Bazighifan, F. Ghanim, J. Awrejcewicz, K.S. Al-Ghafri, M. Al-Kandari
    Year: 2021 | Citations: 4

  • Enhancing Kuwaiti Teachers’ Technology-Assisted Mathematics Teaching Practices
    M. Soliman, Z. Lavicza, T. Prodromou, M. Al-Kandari, T. Houghton
    Year: 2019 | Citations: 4

  • Some oscillation results for even-order differential equations with neutral term
    M. Al-Kandari, O. Bazighifan
    Year: 2021 | Citations: 3

  • On the Laplacian Energy of an Orbit Graph of Finite Groups
    V. Bhat, M. Singh, K. Sharma, M. Alkandari, L. Hanna
    Year: 2024

  • Nonlinear differential equations with neutral term: Asymptotic behavior of solutions
    M. Al-Kandari
    Year: 2024

  • Conditions for the Oscillation of Solutions to Neutral Differential Equations of Higher Order
    M. Al-Kandari
    Year: 2023

  • Enhanced criteria for detecting oscillations in neutral delay Emden-Fowler differential equations
    M. Al-Kandari
    Year: 2023

  • Completely Semiprime Ideals of Ore Extensions
    V.K. Bhat, M. Alkandari, L. Hanna, S.K. Sharma
    Year: 2023

  • Half-linear differential equations of fourth order: oscillation criteria of solutions
    B. Omar, K.S. Al-Ghafri, M. Al-Kandari, F. Ghanim, M. Fatemah
    Year: 2022

  • The Effectiveness of a Suggested Program in Developing College Students’ Ability to Write Proofs and their Beliefs Towards it
    A.H. Alajmi, M.M. Alkandari
    Year: 2022

  • On an extension of the Mikusiński type operational calculus for the Caputo fractional derivative
    M. Al-Kandari, L.A.-M. Hanna, Y. Luchko
    Year: 2021 | Citations: 3

  • A convolution family in the Dimovski sense for the composed Erdélyi-Kober fractional integrals
    M. Al-Kandari, L.A.-M. Hanna, Y.F. Luchko
    Year: 2019 | Citations: 3

  • Operational Calculus for the 1st Level General Fractional Derivatives and its Applications
    M. Alkandari, Y. Luchko
    Year: 2024 | Citations: 2

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Xuefeng Mao | Algebra | Best Researcher Award

Published on by Math Scientist

Prof. Xuefeng Mao | Algebra | Best Researcher Award

Professor at Shanghai University, China

Professor Xuefeng Mao is a distinguished mathematician specializing in homological algebra, DG categories, algebraic geometry, and rational homotopy theory. He currently serves as a Professor at Shanghai University and has held various academic positions, including Associate Professor and Senior Lecturer. His extensive academic background includes a Ph.D. from Fudan University and postdoctoral research at Fudan and the University of Washington. Professor Mao has made significant contributions to the study of DG algebras, homological invariants, and representation theory, with numerous publications in renowned mathematical journals. He has been awarded substantial funding from the National Natural Science Foundation of China for his projects focused on the properties, constructions, and applications of homologically smooth DG algebras. In addition to his research, Professor Mao has mentored several graduate students, contributing to the development of future scholars in the field. His work continues to shape the landscape of modern algebra and geometry.

Professional Profile 

Scopus Profile

Education

Professor Xuefeng Mao earned his Ph.D. in Mathematics from Fudan University in 2008, where he focused his dissertation on homological invariants for connected cochain DG algebras. His foundation in mathematics was built at Zhejiang Normal University, where he obtained his Bachelor’s degree in 2002. During his academic journey, Professor Mao acquired a deep understanding of algebraic structures and their applications. His education laid the groundwork for a successful career in academia and research, providing him with the expertise to tackle complex problems in homological algebra, representation theory, and rational homotopy theory. His Ph.D. work at Fudan University, particularly in the area of homologically smooth DG algebras, was instrumental in pushing the boundaries of knowledge in the field. Over the years, Professor Mao has cultivated a passion for academic exploration and research, inspiring many students in the process.

Professional Experience

Professor Xuefeng Mao is a distinguished faculty member at Shanghai University, where he has been serving as a Professor in the Department of Mathematics & School of Science since 2020. Prior to this, he held the position of Associate Professor at the same institution from 2015 to 2020, and Senior Lecturer from 2010 to 2015. His academic journey also includes postdoctoral fellowships at renowned institutions. From 2013 to 2014, Professor Mao was a Visiting Scholar at the University of Washington in Seattle, USA. Before that, he completed his postdoctoral research at Fudan University from 2008 to 2010. His vast professional experience, coupled with his commitment to advancing mathematical research and teaching, has made him a respected figure in the mathematical community. Through various roles, Professor Mao has contributed to both the academic environment at Shanghai University and the wider global research community.

Research Interests

Professor Xuefeng Mao’s research interests are centered on homological algebras, DG categories, algebraic geometry, representation theory of algebras, rational homotopy theory, and probability and statistics. His work focuses on understanding the properties, constructions, classifications, and homological invariants of homologically smooth DG algebras, which are a class of algebraic structures with a strong influence on algebraic geometry and representation theory. Professor Mao has significantly contributed to the study of DG algebras and their applications, such as their role in noncommutative algebraic geometry and rational homotopy theory. Additionally, his interest in probability and statistics has allowed him to explore the connection between algebraic structures and probabilistic models. His research has led to several important papers published in top mathematical journals, and his work continues to be influential in the study of algebraic and geometric structures, contributing to the growth of both theoretical and applied mathematics.

Awards and Honors

Professor Xuefeng Mao has received numerous accolades for his outstanding contributions to mathematics, particularly in the areas of homological algebra and algebraic geometry. He has been awarded funding by the National Natural Science Foundation of China for multiple research projects, showcasing the recognition of his work by the academic community. His research projects, such as “The research on the properties, constructions, classifications, and homological invariants of homologically smooth DG algebras,” have garnered support due to their significant impact on advancing mathematical knowledge. These prestigious awards highlight his ability to secure competitive funding and produce groundbreaking work. Additionally, Professor Mao’s research projects have been well-received internationally, further solidifying his reputation as a leading scholar in his field. His accomplishments reflect both his expertise in advanced mathematics and his dedication to enhancing the understanding of complex algebraic structures.

Conclusion

Professor Xuefeng Mao is a leading scholar in the field of mathematics, particularly in the areas of homological algebras, DG categories, algebraic geometry, and representation theory. His extensive educational background, coupled with years of professional experience at Shanghai University, has enabled him to make substantial contributions to the understanding of mathematical structures. Through his research, he has significantly advanced the study of DG algebras, rational homotopy theory, and their applications in algebraic geometry. In addition to his impressive research achievements, Professor Mao has been instrumental in mentoring MSc students, contributing to the development of future scholars in the field. His ability to secure competitive research funding, his global collaborations, and his publications in prestigious journals further solidify his stature as an exceptional researcher. Professor Mao’s work continues to inspire and impact the field of mathematics, making him a valuable asset to the academic and research communities.

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