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

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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 

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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

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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 

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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

  • A new modification of an iterative method based on inverse polynomial for solving Cauchy problems
    A.H. Ali, O. Alabdali, M.T. Yaseen, M. Al-Kandari, O. Bazighifan
    Year: 2023 | Citations: 2

 

Xuefeng Mao | Algebra | Best Researcher Award

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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 

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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.

Publications Top Noted

 

Slobodanka Galovic | Mathematical Modeling | Best Researcher Award

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Dr. Slobodanka Galovic | Mathematical Modeling | Best Researcher Award

Professor of Research at Vinca Institute of Nuclear Sciences-National Institute of the Republic of Serbia, Belgrade University, Serbia

Slobodanka Galovic is a Full Professor of Research at the Vinca Institute of Nuclear Sciences, part of the National Institute of Nuclear Sciences in the Republic of Serbia. With extensive expertise in applied mathematics, set theory, and mathematical modeling, she has made significant contributions to her field through both independent and collaborative research. As a senior academic leader, she plays a crucial role in mentoring and guiding graduate students and researchers, further fostering scientific growth within her institution. Her work has earned recognition within the academic community, especially in the areas of theoretical and applied mathematics. Professor Galovic’s position at a renowned research institution showcases her leadership and influence in advancing mathematical sciences. Her research, though focused primarily in academia, could benefit from increased international collaboration and broader industry engagement to enhance the practical application of her work. Nonetheless, her academic accomplishments make her an outstanding candidate for prestigious awards in research.

Professional Profile:

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Education:

Slobodanka Galovic holds an extensive academic background, having earned a doctoral degree in a specialized field from a renowned institution. Her academic journey showcases a strong foundation in nuclear sciences, where she focused on advancing knowledge through rigorous research. Galovic’s education has been instrumental in shaping her understanding of complex scientific concepts and methodologies. She has also attended numerous workshops and training sessions, continuously enhancing her expertise in applied physics and nuclear sciences. Her dedication to lifelong learning has enabled her to contribute significantly to her field and mentor aspiring researchers with precision and clarity.

Professional Experience:

Professor Slobodanka Galovic brings over several years of professional experience to her role at the Vinca Institute of Nuclear Sciences. As a Full Professor of Research, she has been pivotal in leading groundbreaking research in nuclear sciences, mentoring young researchers, and developing academic programs. Her expertise spans multiple areas of nuclear research, with her collaborative and leadership skills enhancing the institute’s academic reputation. Through her work, she has made invaluable contributions to both national and international scientific communities.

Research Interest:

Professor Galovic’s primary research interest lies in nuclear science, particularly in applied nuclear physics, radiation protection, and quantum mechanics. Her innovative work includes exploring the intersection of these disciplines with real-world applications in industries such as energy, healthcare, and environmental protection. By focusing on advancing our understanding of nuclear materials, radiation interactions, and developing new technologies for improved safety, Galovic has contributed to the development of novel methodologies that hold practical implications. Her research not only pushes the boundaries of science but also addresses significant global challenges.

Awards and Honors:

Throughout her illustrious career, Professor Slobodanka Galovic has been the recipient of various prestigious awards and honors in recognition of her outstanding contributions to nuclear sciences. Her work in both research and academia has earned her a place among leading scientists, with accolades that affirm her influence and impact. Her research-driven approach to solving complex scientific problems has led to widespread recognition at national and international levels. Galovic’s ability to publish high-impact research has made her a respected figure in the global scientific community.

Conclusion:

Professor Slobodanka Galovic’s professional journey exemplifies exceptional leadership in the field of nuclear sciences. With an established academic background, a rich research portfolio, and a strong commitment to pushing the frontiers of science, Galovic has undoubtedly made a lasting impact on both her field and the students she mentors. Her work continues to inspire and shape the future of scientific inquiry. As a dedicated and passionate academic, her contributions will undoubtedly remain influential for years to come.

Publications Top Noted:

  • Title: Photothermal wave propagation in media with thermal memory
    Authors: S Galović, D Kostoski
    Year: 2003
    Citations: 112
    Source: Journal of Applied Physics, 93 (5), 3063-3070

  • Title: Crystallinity changes and melting behavior of the uniaxially oriented iPP exposed to high doses of gamma radiation
    Authors: Z Stojanović, Z Kačarević-Popović, S Galović, D Miličević, E Suljovrujić
    Year: 2005
    Citations: 76
    Source: Polymer Degradation and Stability, 87 (2), 279-286

  • Title: Thermal and crystallization behaviour of gamma irradiated PLLA
    Authors: D Milicevic, S Trifunovic, S Galovic, E Suljovrujic
    Year: 2007
    Citations: 63
    Source: Radiation Physics and Chemistry, 76 (8-9), 1376-1380

  • Title: Photoacoustic signal and noise analysis for Si thin plate: Signal correction in frequency domain
    Authors: DD Markushev, MD Rabasović, DM Todorović, S Galović, SE Bialkowski
    Year: 2015
    Citations: 53
    Source: Review of Scientific Instruments, 86 (3)

  • Title: Theory of photoacoustic effect in media with thermal memory
    Authors: S Galović, Z Šoškić, M Popović, D Čevizović, Z Stojanović
    Year: 2014
    Citations: 46
    Source: Journal of Applied Physics, 116 (2)

  • Title: Effect of the absorption coefficient of aluminium plates on their thermoelastic bending in photoacoustic experiments
    Authors: DD Markushev, J Ordonez-Miranda, MD Rabasović, S Galović, …
    Year: 2015
    Citations: 45
    Source: Journal of Applied Physics, 117 (24)

  • Title: Helmholtz resonances in photoacoustic experiment with laser-sintered polyamide including thermal memory of samples
    Authors: MN Popovic, MV Nesic, S Ciric-Kostic, M Zivanov, DD Markushev, …
    Year: 2016
    Citations: 36
    Source: International Journal of Thermophysics, 37, 1-9

  • Title: Photothermal thermoelastic bending for media with thermal memory
    Authors: M Nesic, S Galovic, Z Soskic, M Popovic, DM Todorovic
    Year: 2012
    Citations: 33
    Source: International Journal of Thermophysics, 33, 2203-2209

  • Title: Conduction of heat in inhomogeneous solids
    Authors: MD Dramićanin, ZD Ristovski, V Djoković, S Galović
    Year: 1998
    Citations: 32
    Source: Applied Physics Letters, 73 (3), 321-323

  • Title: Effects of the photogenerated excess carriers on the thermal and elastic properties of n-type silicon excited with a modulated light source: Theoretical analysis
    Authors: DK Markushev, DD Markushev, S Aleksić, DS Pantić, S Galović, …
    Year: 2019
    Citations: 29
    Source: Journal of Applied Physics, 126 (18)

  • Title: Influence of thermal memory on thermal piston model of photoacoustic response
    Authors: DD Markushev, MD Rabasović, M Nesic, M Popovic, S Galovic
    Year: 2012
    Citations: 29
    Source: International Journal of Thermophysics, 33, 2210-2216

  • Title: Photoacoustic response of a transmission photoacoustic configuration for two-layer samples with thermal memory
    Authors: MN Popovic, MV Nesic, M Zivanov, DD Markushev, SP Galovic
    Year: 2018
    Citations: 28
    Source: Optical and Quantum Electronics, 50, 1-10

  • Title: An extension to the methodology for characterization of thermal properties of thin solid samples by photoacoustic techniques
    Authors: Z Šoškić, S Ćirić-Kostić, S Galović
    Year: 2016
    Citations: 27
    Source: International Journal of Thermal Sciences, 109, 217-230

  • Title: Computationally intelligent description of a photoacoustic detector
    Authors: MI Jordovic-Pavlovic, AD Kupusinac, KL Djordjevic, KL Galovic, …
    Year: 2020
    Citations: 24
    Source: Optical and Quantum Electronics, 52, 1-14

  • Title: Influence of orientation and irradiation on stress relaxation of linear low-density polyethylene (LLDPE): a two-process model
    Authors: V Djokovic, D Kostoski, S Galovic, MD Dramicanin, Z Kacarevic-Popovic
    Year: 1999
    Citations: 24
    Source: Polymer, 40 (10), 2631-2637

  • Title: Optically induced temperature variations in a two-layer volume absorber including thermal memory effects
    Authors: MN Popovic, DD Markushev, MV Nesic, MI Jordovic-Pavlovic, SP Galovic
    Year: 2021
    Citations: 23
    Source: Journal of Applied Physics, 129 (1)

  • Title: Experimental photoacoustic observation of the photogenerated excess carrier influence on the thermoelastic response of n-type silicon
    Authors: DK Markushev, DD Markushev, SM Aleksić, DS Pantić, SP Galović, …
    Year: 2020
    Citations: 23
    Source: Journal of Applied Physics, 128 (9)

  • Title: Nature of the vibron self-trapped states in hydrogen-bonded macromolecular chains
    Authors: D Čevizović, S Galović, Z Ivić
    Year: 2011
    Citations: 22
    Source: Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 84 (1)

  • Title: Analysis of photothermal response of thin solid films by analogy with passive linear electric networks
    Authors: SP Galović, ZN Šoškić, MN Popović
    Year: 2009
    Citations: 22
    Source: Thermal Science, 13 (4), 129-142

  • Title: Influence of data scaling and normalization on overall neural network performances in photoacoustics
    Authors: КL Djordjević, MI Jordović-Pavlović, ŽM Ćojbašić, SP Galović, …
    Year: 2022
    Citations: 21
    Source: Optical and Quantum Electronics, 54 (8), 501

 

Ramesh Sharma | Geometry | Best Researcher Award

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Prof. Ramesh Sharma | Geometry | Best Researcher Award

Professor at University of New Haven, United States

Professor Ramesh Sharma is a distinguished academic in the field of Mathematics, currently serving as a Professor at the University of New Haven. With expertise in Differential Geometry and General Relativity, his research contributions have been highly influential. He has authored 118 research papers, many of which have been published in prestigious journals, and co-authored two books, including works with Springer. His ongoing research includes studies on Ricci and Yamabe solitons, ambient obstruction solitons, and rigidity results on q-solitons. In addition to his impressive publication record, Professor Sharma has delivered over 60 invited talks at renowned awards and academic institutions, including two talks at the International Congress of Mathematicians. He has also co-organized special sessions for the American Mathematical Society. A respected figure in the academic community, Professor Sharma is a member of the American Mathematical Society and the International Society of General Relativity and Gravitation.

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Education

Professor Ramesh Sharma completed his advanced studies in mathematics with a focus on differential geometry and general relativity. His education provided him with a strong foundation in both theoretical and applied aspects of mathematics, enabling him to explore intricate geometric structures and their applications in physics. Throughout his academic journey, he has worked under esteemed mentors and has accumulated a wealth of knowledge that has shaped his research and teaching methodologies. His robust educational background has empowered him to contribute extensively to the academic community.

Professional Experience

Professor Sharma has a distinguished professional career, currently serving as a Professor at the University of New Haven. With over two decades of experience in teaching, research, and academic leadership, he has become a respected figure in his field. His career includes contributions to academic publications, serving on editorial boards, and collaborating with renowned mathematicians globally. Additionally, his role as a speaker at numerous awards, including two sessions at the International Congress of Mathematicians, highlights his influence in the academic world.

Research Interest

Professor Sharma’s research interests primarily lie in differential geometry, general relativity, and the study of solitons in mathematical physics. His work on Ricci and Yamabe solitons in contact geometry, as well as ambient obstruction solitons, has had significant implications in the field. His research also delves into the mathematical modeling of spacetime symmetries and their connection to the fundamental laws of physics. He has published extensively in leading journals and continues to explore innovative methods and solutions in the realm of geometric analysis.

Award and Honor

Professor Sharma’s contributions to mathematics have been recognized through numerous honors and awards, including invited talks at prestigious awards and the publication of his books by leading academic presses like Springer. His collaborative research efforts have been highly regarded, and he has received recognition from prominent organizations such as the American Mathematical Society. His sustained excellence in research and academia has earned him an esteemed reputation, with numerous accolades from both national and international academic institutions.

Conclusion

In conclusion, Professor Ramesh Sharma is a highly accomplished mathematician whose work in differential geometry and general relativity continues to impact the scientific community. His research, publications, and educational contributions have not only advanced mathematical theory but also inspired a generation of students and scholars. With a career marked by continuous achievements, Professor Sharma remains a key figure in his field, contributing significantly to both academia and the advancement of mathematical knowledge. His extensive academic background and ongoing work ensure that his legacy will continue to influence future generations of researchers.

Publications Top Noted

  • Title: Multicenter epidemiologic study of coronavirus disease–associated mucormycosis
    Authors: A Patel, R Agarwal, SM Rudramurthy, M Shevkani, I Xess, R Sharma, …
    Year: 2021
    Citation: 480
    Source: Emerging Infectious Diseases 27 (9), 2349

  • Title: Certain Results on K-Contact and (k, μ)-Contact Manifolds
    Authors: R Sharma
    Year: 2008
    Citation: 328
    Source: Journal of Geometry 89, 138-147

  • Title: A review on mechanical properties of natural fiber reinforced hybrid polymer composites
    Authors: KP Ashik, RS Sharma
    Year: 2015
    Citation: 272
    Source: Journal of Minerals and Materials Characterization and Engineering 3 (05), 420

  • Title: A classification of 3-dimensional contact metric manifolds with Qφ = φQ
    Authors: DE Blair, T Koufogiorgos, R Sharma
    Year: 1990
    Citation: 180
    Source: Kodai Mathematical Journal 13 (3), 391-401

  • Title: Symmetries of spacetimes and Riemannian manifolds
    Authors: KL Duggal, R Sharma
    Year: 2013
    Citation: 172
    Source: Springer Science & Business Media

  • Title: Oculomotor dysfunction in amyotrophic lateral sclerosis: a comprehensive review
    Authors: R Sharma, S Hicks, CM Berna, C Kennard, K Talbot, MR Turner
    Year: 2011
    Citation: 157
    Source: Archives of Neurology 68 (7), 857-861

  • Title: Talent management–competency development: key to global leadership
    Authors: R Sharma, J Bhatnagar
    Year: 2009
    Citation: 132
    Source: Industrial and Commercial Training 41 (3), 118-132

  • Title: Grey matter abnormalities in multiple sclerosis: proton magnetic resonance spectroscopic imaging
    Authors: R Sharma, PA Narayana, JS Wolinsky
    Year: 2001
    Citation: 131
    Source: Multiple Sclerosis Journal 7 (4), 221-226

  • Title: In vivo nanoparticle imaging of innate immune cells can serve as a marker of disease severity in a model of multiple sclerosis
    Authors: K Kirschbaum, JK Sonner, MW Zeller, K Deumelandt, J Bode, R Sharma, …
    Year: 2016
    Citation: 109
    Source: Proceedings of the National Academy of Sciences 113 (46), 13227-13232

  • Title: Plasma cell balanitis: clinical and histopathological features–response to circumcision
    Authors: B Kumar, R Sharma, M Rajagopalan, BD Radotra
    Year: 1995
    Citation: 88
    Source: Sexually Transmitted Infections 71 (1), 32-34

  • Title: Second order parallel tensor in real and complex space forms
    Authors: R Sharma
    Year: 1989
    Citation: 88
    Source: International Journal of Mathematics and Mathematical Sciences 12 (4), 787-790

  • Title: Eye-tracking in amyotrophic lateral sclerosis: a longitudinal study of saccadic and cognitive tasks
    Authors: M Proudfoot, RAL Menke, R Sharma, CM Berna, SL Hicks, C Kennard, …
    Year: 2016
    Citation: 87
    Source: Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 17 (1-2), 101-111

  • Title: Almost Ricci solitons and -contact geometry
    Authors: R Sharma
    Year: 2014
    Citation: 86
    Source: Monatshefte für Mathematik 175 (4), 621-628

  • Title: Myelin imaging in amyotrophic and primary lateral sclerosis
    Authors: S Kolind, R Sharma, S Knight, H Johansen-Berg, K Talbot, MR Turner
    Year: 2013
    Citation: 77
    Source: Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 14 (7-8), 562-573

  • Title: Contact metric manifolds with η-parallel torsion tensor
    Authors: A Ghosh, R Sharma, JT Cho
    Year: 2008
    Citation: 77
    Source: Annals of Global Analysis and Geometry 34, 287-299

  • Title: Investigation of moisture absorption and mechanical properties of natural/glass fiber reinforced polymer hybrid composites
    Authors: KP Ashik, RS Sharma, VLJ Guptha
    Year: 2018
    Citation: 76
    Source: Materials Today: Proceedings 5 (1), 3000-3007

  • Title: Biochar as a means to improve soil fertility and crop productivity: a review
    Authors: A Kapoor, R Sharma, A Kumar, S Sepehya
    Year: 2022
    Citation: 74
    Source: Journal of Plant Nutrition 45 (15), 2380-2388

  • Title: Polyphenols in health and disease: Practice and mechanisms of benefits
    Authors: R Sharma
    Year: 2014
    Citation: 73
    Source: Polyphenols in Human Health and Disease, 757-778

  • Title: Malaria paradigms in India and control strategies
    Authors: S Pattanayak, VP Sharma, NL Kalra, VS Orlov, RS Sharma
    Year: 1994
    Citation: 67
    Source: Indian Journal of Malariology 31 (4), 141-199

  • Title: Production of extracellular alkaline lipase by a new thermophilic Bacillus sp
    Authors: P Sidhu, R Sharma, SK Soni, JK Gupta
    Year: 1998
    Citation: 57
    Source: Folia Microbiologica 43, 51-54

 

Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

Associate Prof at College of Science and Engineering /Hamad Bin Khalifa University, Qatar

Dr. Samir Brahim Belhaouari is an accomplished Associate Professor at Hamad Bin Khalifa University, specializing in applied mathematics, optimization, pattern recognition, and machine learning. He holds a Ph.D. in Mathematical Sciences from the prestigious Federal Polytechnic School of Lausanne and a Master’s degree in Networks and Telecommunications from INP/ENSEEIHT in France. Dr. Belhaouari has over 300 published research papers and has made significant contributions to areas such as sustainable AI, bio-inspired neural networks, time-frequency transformations for prediction, and cryptography. His work has earned him numerous accolades, including Gold and Silver Medals at international exhibitions. He has been actively involved in global academic initiatives, with research collaborations in Europe, the USA, and the Middle East, and has led impactful research projects, such as AI solutions for medical imaging. With over 3,800 citations and an H-index of 32, Dr. Belhaouari’s innovative work continues to shape the future of applied mathematics and AI.

Professional Profile 

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ORCID Profile

Education

Dr. Samir Brahim Belhaouari completed his Ph.D. in Mathematical Sciences, focusing on stochastic processes and their applications, at the prestigious Federal Polytechnic School of Lausanne (EPFL) in Switzerland in 2006. Prior to that, he earned a Master’s degree in Networks and Telecommunications, specializing in signal and image processing, from INP/ENSEEIHT in France in 2000. This strong educational foundation has been key to his outstanding career in applied mathematics, optimization, and machine learning. His educational journey reflects a commitment to excellence and a deep understanding of complex mathematical and computational theories, which he continues to apply in his innovative research projects.

Professional Experience

Dr. Belhaouari is an Associate Professor in the Division of Information and Computing Technology at Hamad Bin Khalifa University, Qatar. His career includes previous academic positions at the University of Sharjah, Radiological Technologies University-VT, and INNOPOLIS University in Russia. He has also worked with top institutions such as EPFL and INP. His professional experience spans various continents, providing a global perspective on educational and research practices. Additionally, his extensive involvement in research projects and university leadership showcases his dedication to advancing both academic and practical knowledge.

Research Interest

Dr. Samir Brahim Belhaouari’s research interests encompass a wide array of topics, primarily focusing on applied mathematics, AI, machine learning, and optimization. His work delves into stochastic processes, bio-inspired neural networks, time-frequency transformations for time-series prediction, cryptographic algorithms, and sustainable AI. Notable projects include the development of green AI technologies, new neural network architectures, and advanced algorithms for feature extraction and video summarization. His research aims to bridge theoretical mathematics with real-world applications, particularly in fields like medical imaging, bioinformatics, and cryptography, thus contributing to the advancement of science and technology.

Award and Honor

Dr. Belhaouari’s groundbreaking research has been recognized globally with multiple awards, including Gold and Silver Medals at international exhibitions. His contributions to the field of applied mathematics and AI have earned him high regard in academia. With an impressive citation index exceeding 3,800 and an H-index of 32, his work is highly influential in both theoretical and applied contexts. Furthermore, his leadership in various international academic initiatives and his role in establishing INNOPOLIS University highlight his commitment to advancing education and research worldwide.

Conclusion

Dr. Samir Brahim Belhaouari is a distinguished academic and researcher whose work has made a significant impact on applied mathematics, AI, and machine learning. His expertise spans a wide range of subjects, from stochastic processes and optimization to cryptography and bioinformatics. His extensive professional experience and global research collaborations have cemented his reputation as a thought leader in his field. Through his dedication to both teaching and groundbreaking research, Dr. Belhaouari continues to contribute to the advancement of knowledge and the development of innovative solutions to real-world challenges. His recognition with numerous awards and honors serves as a testament to his excellence and lasting influence.

Publications Top Noted

  • Title: t-SNE-PSO: Optimizing t-SNE using particle swarm optimization
    Authors: M. Allaoui, S. Birahim Belhaouari, R. Hedjam, K. Bouanane, M.L. Kherfi
    Year: 2025
    Source: Expert Systems with Applications

  • Title: KNNOR-Reg: A python package for oversampling in imbalanced regression
    Authors: S. Birahim Belhaouari, A. Islam, K. Kassoul, A.I. Al-Fuqaha, A. Bouzerdoum
    Year: 2025
    Source: Software Impacts

  • Title: Intelligent mask image reconstruction for cardiac image segmentation through local–global fusion
    Authors: A. Boukhamla, A. Nabiha, S. Birahim Belhaouari
    Year: 2025
    Source: Applied Intelligence

  • Title: G-EEGCS: Graph-based optimum electroencephalogram channel selection
    Authors: I. Faye, M.Z. Yusoff, S. Birahim Belhaouari
    Year: 2024
    Source: Biomedical Signal Processing and Control

  • Title: Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
    Authors: A.U. Rehman, S. Birahim Belhaouari, A. Bermak
    Year: 2024
    Citations: 2
    Source: Swarm and Evolutionary Computation

  • Title: Defense against adversarial attacks: robust and efficient compressed optimized neural networks
    Authors: I. Kraidia, A. Ghenai, S. Birahim Belhaouari
    Year: 2024
    Citations: 3
    Source: Scientific Reports

  • Title: Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
    Authors: N.S. Amer, S. Birahim Belhaouari
    Year: 2024
    Citations: 6
    Source: Scientific Reports

  • Title: A novel few shot learning derived architecture for long-term HbA1c prediction
    Authors: M.K. Qaraqe, A. Elzein, S. Birahim Belhaouari, M.S. Ilam, G. Petrovski
    Year: 2024
    Citations: 2
    Source: Scientific Reports

  • Title: Elevating recommender systems: Cutting-edge transfer learning and embedding solutions
    Authors: A. Fareed, S. Hassan, S. Birahim Belhaouari, Z. Halim
    Year: 2024
    Citations: 1
    Source: Applied Soft Computing Journal

  • Title: FairColor: An efficient algorithm for the Balanced and Fair Reviewer Assignment Problem
    Authors: K. Bouanane, A.N. Medakene, A. Benbelghit, S. Birahim Belhaouari
    Year: 2024
    Citations: 1
    Source: Information Processing and Management