Peng Yue | Pure Mathematics | Best Researcher Award

Prof. Dr. Peng Yue | Pure Mathematics | Best Researcher Award

Dr. at Ocean University of China, China

Prof. Dr. Peng Yue is a distinguished academic currently serving as a professor at the School of Physics and Optoelectronic Engineering, Ocean University of China. With a solid educational foundation, he earned his bachelor’s, master’s, and Ph.D. degrees in mechanics from the National Aerospace University “Kharkov Aviation Institute.” Prof. Yue’s research focuses on developing mathematical and mechanical theories and models related to nonlinear and complex systems, bridging mathematics, physics, and engineering. His notable contributions include several publications in prestigious journals, including works on fluid dynamics, aerodynamics, and mathematical models for flow field separation. Additionally, Prof. Yue has been an active participant in international awards, often presenting as a keynote speaker. He is a member of several academic societies, including the Chinese Mathematical Society and the Chinese Society of Industrial and Applied Mathematics. His interdisciplinary work and leadership in the field make him a prominent figure in applied mathematics and engineering.

Professional Profile 

Scopus Profile
ORCID Profile 

Education

Prof. Dr. Peng Yue’s educational journey reflects his dedication to advancing the fields of mathematics, mechanics, and physics. He began his academic path at the National Aerospace University “Kharkov Aviation Institute” where he earned his bachelor’s degree in theoretical and applied mechanics in 2011. His passion for mechanics led him to pursue a master’s degree in the same field, which he completed in 2013. Demonstrating exceptional academic ability and a deep interest in complex systems, Prof. Yue continued his studies at the same institution and earned his Ph.D. in mechanics in 2017. This rigorous academic foundation laid the groundwork for his subsequent research career. His advanced education provided him with a comprehensive understanding of mathematical and mechanical theories, equipping him with the skills necessary to develop models and algorithms for nonlinear and complex systems.

Professional Experience

Prof. Dr. Peng Yue has an extensive professional background that spans academia and research in the fields of mathematics, mechanics, and engineering. He currently serves as a professor at the School of Physics and Optoelectronic Engineering, College of Information Science and Engineering, Ocean University of China. Prior to 2023, he held significant academic and research positions at the University of Electronic Science and Technology of China and the China Aerodynamics Research and Development Center, where he contributed extensively to the study of nonlinear and complex systems. Prof. Yue’s expertise also includes developing practical models and algorithms for mathematical and mechanical theories. He earned his bachelor’s, master’s, and Ph.D. degrees from the National Aerospace University “Kharkov Aviation Institute.” Throughout his career, Prof. Yue has been actively involved in numerous projects and awards, including as a keynote speaker at prestigious international events like the 13th International Conference on Computational Mechanics.

Research Interest

Prof. Dr. Peng Yue’s research interests primarily focus on the development of mathematical and mechanical theories applied to nonlinear and complex systems. He explores practical models and algorithms that bridge the gap between theoretical mechanics and real-world engineering problems. His work is at the intersection of mathematics, physics, and engineering, with particular emphasis on the modeling and analysis of fluid dynamics, flow separation, and multi-field coupling mechanisms. Prof. Yue is also dedicated to advancing numerical methods such as the boundary element method for determining aerodynamic characteristics and improving techniques in Cartesian tensor analysis. His research aims to enhance understanding of the behavior of complex physical systems, with applications in aerodynamics, mechanics, and technology. By developing new mathematical models, he strives to solve practical challenges faced by modern engineering, contributing to the broader understanding of nonlinear phenomena and pushing the boundaries of applied mathematics and mechanical systems.

Award and Honor

Prof. Dr. Peng Yue has earned significant recognition throughout his academic career, marking him as a distinguished figure in the fields of applied mathematics, mechanics, and engineering. As a member of the Chinese Mathematical Society, the Chinese Society for Industrial and Applied Mathematics, and the Chinese Society of Mechanics, his contributions to mathematical modeling and nonlinear systems have been widely acknowledged. He has held important academic positions, including as a professor at the Institute of Space Technology at the China Aerodynamics Research and Development Center, and more recently at Ocean University of China. His research has led to numerous high-impact journal publications, with key articles on complex fluid dynamics, aerodynamics, and tensor analysis. Prof. Yue has also made significant contributions to international awards, delivering keynote addresses, such as at the 13th International Conference on Computational Mechanics. His honors reflect both his scholarly achievements and his leadership in advancing scientific and engineering knowledge.

Conclusion

Prof. Dr. Peng Yue has proven to be an exceptional researcher, blending advanced mathematical, mechanical, and physical theories with practical models and algorithms. His academic journey, from earning a Ph.D. at the National Aerospace University “Kharkov Aviation Institute” to holding prominent positions at renowned institutions like the University of Electronic Science and Technology of China and the Ocean University of China, showcases his deep expertise. Prof. Yue’s extensive publication record, including high-quality journal articles on nonlinear systems and fluid dynamics, as well as his role as a keynote speaker at international awards, reflects his influential contributions to his fields. His involvement in major scientific societies such as the Chinese Mathematical Society further emphasizes his academic prominence. While continuing to expand the reach of his research, Prof. Yue’s exceptional scholarship, leadership, and interdisciplinary work solidify his standing as a distinguished figure in applied mathematics and mechanics.

Publications Top Noted

  • Title: Surface Pressure Calculation Method of Multi-Field Coupling Mechanism under the Action of Flow Field
    Authors: Zhang, J., Wei, S., Yue, P., Kulik, A.S., Li, G.
    Year: 2023
    Citations: 1
  • Title: Mathematical Model for Excited State Fluid Dynamics
    Authors: Yue, P., Zhang, J., Wei, S.
    Year: 2023
    Citations: 0
  • Title: Mathematical Principle Analysis of Transition Point Prediction
    Authors: Yue, P., Zhang, J., Peng, D., Wei, S.
    Year: 2022
    Citations: 0
  • Title: Mathematical Principle Analysis of Separation Point Prediction
    Authors: Yue, P., Zhang, J., Peng, D., Wei, S.
    Year: 2021
    Citations: 0
  • Title: Mathematical Model and Analysis Method for Flowfield Separation and Transition
    Authors: Yue, P., Xiao, J., Xu, K., Lu, Y., Peng, D.
    Year: 2021
    Citations: 5
  • Title: Numerical Implementation of Boundary Element Method for Determining Aerodynamic Characteristics around Airfoil System by Viscous Media
    Authors: Xu, K., Yue, P., Liu, Q., Lu, Y., Zhang, J.
    Year: 2020
    Citations: 3
  • Title: Extension of Calculus Operations in Cartesian Tensor Analysis
    Authors: Lu, Y., Yue, P., Wei, S.
    Year: 2020
    Citations: 1

 

B. Meenakshi Sundaram | Computational Mathematics | Best Researcher Award

Dr. B. Meenakshi Sundaram | Computational Mathematics | Best Researcher Award

Professor at T. John Group of Institutions India

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with over 25 years of experience in teaching, research, and administration across India and the UAE. He has made significant contributions to computer science, specializing in machine learning, IoT, cloud security, and semantic web mining. With 25+ publications in SCOPUS and IEEE-indexed journals and presentations at 20+ international awards, his research has garnered global recognition. He actively supervises PhD scholars and has mentored over 100 undergraduate and postgraduate research projects. As a curriculum developer, he has aligned academic programs with national and international standards. He holds key research identifiers, including a Scopus ID and an h-index of 4. His expertise extends to industry collaborations, technical writing, and consultancy services. While enhancing high-impact research and funded projects could further strengthen his profile, his vast academic and research contributions make him a strong contender for the Best Researcher Award.

Professional Profile:

Google Scholar
ORCID Profile 

Education:

Prof. Dr. B. Meenakshi Sundaram holds a Ph.D. in Computer Science from Bharathiar University, Coimbatore (2017), showcasing his expertise in advanced computing research. He earned his M.Tech in Information Technology (2009) from Manonmaniam Sundaranar University, securing First Class with Distinction. His academic journey began with a B.Sc. in Physics with Electronics (1996) and an M.Sc. in Computer Science (1998), both from Madurai Kamaraj University, where he excelled with distinction. Additionally, he pursued an M.Phil in Computer Science (2006) to deepen his research acumen. Beyond formal degrees, he has completed specialized professional certifications, including NPTEL courses from IIT Kharagpur and IIT Madras, as well as industry-relevant training from Infosys, Wipro, and IBM. His diverse educational background, spanning core science, engineering, and computing disciplines, has enabled him to make significant contributions to academia, research, and curriculum development at both national and international levels.

Professional Experience:

Prof. Dr. B. Meenakshi Sundaram has over 25 years of extensive experience in teaching, research, and academic administration across India and the UAE. He has served as a Professor, Associate Professor, Academic Program Manager, and Exam Controller at prestigious institutions, including New Horizon College of Engineering, Karunya University, and Syscoms College, Abu Dhabi. His expertise lies in curriculum development, faculty enrichment, industry-academic collaboration, and research supervision. He has played a key role in designing and aligning Bachelors and Masters programs with national and international accreditation standards. As a researcher, he has supervised PhD scholars, guided 100+ postgraduate and undergraduate research projects, and published 25+ research papers in SCOPUS and IEEE-indexed journals. He has also been actively involved in consultancy services, technical writing, and faculty training programs. With a strong commitment to academic excellence, he continues to contribute to cutting-edge research in computer science, artificial intelligence, and cloud computing.

Research Interest:

Prof. Dr. B. Meenakshi Sundaram’s research interests encompass a wide range of cutting-edge areas in computer science, artificial intelligence, and cybersecurity. His work primarily focuses on semantic web mining, machine learning, IoT, cloud security, and data analytics, addressing critical challenges in intelligent systems and computational frameworks. He has made significant contributions to ontology-based information retrieval, cloud integration, and security frameworks, with an emphasis on developing efficient and scalable solutions for real-world applications. His research also extends to imbalanced data classification, deep learning, and digital innovation in education, exploring novel methodologies to enhance computational intelligence and cybersecurity mechanisms. With a strong commitment to interdisciplinary research, he actively engages in AI-driven enterprise security, intelligent decision-making systems, and web service optimizations, aiming to bridge the gap between academia and industry. His research efforts contribute to advancing smart computing, digital transformation, and next-generation AI technologies.

Award and Honor:

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with a remarkable career spanning over 25 years in teaching, research, and administration. His contributions to computer science, particularly in machine learning, IoT, cloud security, and semantic web mining, have earned him recognition in national and international forums. He has published 25+ research papers in reputed SCOPUS and IEEE-indexed journals, presented at 20+ awards, and actively mentors PhD scholars and postgraduate students. As a professional member of IEEE and Institution of Engineers (India), he has contributed to global research collaborations and curriculum development initiatives. He has received certifications from IIT Madras, IIT Kharagpur, and other reputed institutions, further showcasing his dedication to academic excellence. His significant contributions to academia, research supervision, and international collaborations make him a highly deserving candidate for prestigious awards in research and innovation.

Conclusion:

Prof. Dr. B. Meenakshi Sundaram is a distinguished academician and researcher with 25 years of experience in teaching, research, and administration. His extensive contributions to computer science, particularly in semantic web mining, IoT, and cloud security, are reflected in his 25+ publications in reputed journals, including SCOPUS and IEEE-indexed papers. As a mentor, he has guided numerous research scholars and postgraduate students, fostering academic excellence. His involvement in curriculum development, international collaborations, and industry-academia partnerships further solidifies his impact on higher education. While his research credentials are strong, expanding high-impact publications, securing funded projects, and increasing citation metrics can enhance his global research standing. Nevertheless, his academic leadership, interdisciplinary research, and commitment to knowledge dissemination make him a highly deserving candidate for the Best Researcher Award. His dedication to innovation and scholarly excellence continues to shape the future of computing and technology-driven education.

Publications Top Noted:

  • Face recognition based automated remote proctoring platform
    • Authors: N Sasikala, BM Sundaram, VN Kumar, J Sumanth, S Hrithik
    • Year: 2022
    • Citations: 7
  • Survey of latest technologies on Decentralized applications using Blockchain
    • Authors: N Sasikala, BM Sundaram, S Biswas, AS Nikhil, VS Rohith
    • Year: 2022
    • Citations: 6
  • Disaster relief compensation computational framework
    • Authors: BM Sundaram, B Rajalakshmi, BA Singh, RS Kumar, R Arsha
    • Year: 2022
    • Citations: 6
  • More Accurate Organ Recipient Identification Using Survey Informatics of New Age Technologies
    • Authors: BM Sundaram
    • Year: 2021
    • Citations: 6
  • Fall detection among elderly using deep learning
    • Authors: BM Sundaram, B Rajalakshmi, RK Mandal, S Nair, SS Choudhary
    • Year: 2023
    • Citations: 4
  • An Analysis on Security Threats in Cloud Computing
    • Authors: AP Nirmala, R Prema, BM Sundaram
    • Year: 2019
    • Citations: 4
  • A Roadmap to Application Integration using IoT Cloud Platform
    • Authors: DT Dr. BM Sundaram
    • Year: 2020
    • Citations: 3
  • Cross Domain Composition of Web Service Workflows using a Provenance Ontology with an automated Re-planning
    • Authors: BM Sundaram, D Manimegalai
    • Year: 2015
    • Citations: 3
  • Semantic Interoperable EHR mapping with syndromic surveillance to anticipate regional outbreak
    • Authors: BM Sundaram
    • Year: 2020
    • Citations: 2
  • Fuzzy-XDDS: A Fuzzy Based Cross-Domain Services Matchmaker for Semantic Web Services
    • Authors: BM Sundaram, D Manimegalai
    • Year: 2015
    • Citations: 2
  • AirGuard AI: Revolutionizing Air Cargo Inspection through Pygame and YOLOv8 Simulation
    • Authors: BM Sundaram, B Rajalakshmi, A Saxena, B Vasumati
    • Year: 2024
    • Citations: 1
  • Deep learning implemented communication system for the auditory and verbally challenged
    • Authors: B Chempavathy, BM Sundaram, A Shaynam, A Goswami, S Bindya
    • Year: 2023
    • Citations: 1
  • Malware Exposed: An In-Depth Analysis of its Behavior and Threats
    • Authors: C Anand, S Korada, S Raksha, BM Sundaram, B Rajalakshmi
    • Year: 2023
    • Citations: 1
  • Modeling crime prediction using ML
    • Authors: BM Sundaram, B Rajalakshmi, B Anusha, MK Bindu, BL Keerthi
    • Year: 2022
    • Citations: 1
  • Cardiovascular disease detection using machine learning-a survey
    • Authors: BM Sundaram, B Rajalakshmi, Eshwar, Tanith, L Emmanuel
    • Year: 2022
    • Citations: 1
  • A holistic redesign of web elements using CATWOE analysis
    • Authors: R Jayakumar, BM Sundaram, MA Sankaridevi
    • Year: 2019
    • Citations: 1
  • Dual Tree Complex Wavelet based Regularized Deconvolution for Medical Images
    • Authors: R Murugesan, V Thavavel, BM Sundaram
    • Year: 2007
    • Citations: 1
  • Smart City Traffic Management
    • Authors: BM Sundaram, JG Chowdary, R Gonela, B Rajalakshmi
    • Year: 2024
    • Citations: 1
  • Retinal Authentication for E-Voting
    • Authors: LS Hanne, BM Sundaram, M Rakshitha, V Kishore, A Meenakshi
    • Year: 2024
    • Citations: 1
  • DRS-UNET: A Deep Learning Approach for Diabetic Retinopathy Detection and Segmentation from Fundus Images
    • Authors: RS Gound, BM Sundaram, SK BV, PA Azmat, MNU Habib, A Garg
    • Year: 2023
    • Citations: 1