Mr. Xinjie Liu | Analysis Awards | Best Researcher Award

Mr. Xinjie Liu | Analysis Awards | Best Researcher Award

Mr. Xinjie Liu, Henan University of Technology, China

Xinjie Liu,  is a driven student pursuing a Bachelor’s degree in Food Science and Engineering at Henan University of Technology. He specializes in storage insect pest control and is passionate about food safety and agricultural innovation. Liu has made significant contributions to his field, with two patents granted for “Method for Improving Quality of Aged Peanuts” and “Low-Temperature Sampling Device for Micro-Tissue Samples.” His academic achievements include publishing a paper in the journal Foods, where he explored the use of volatile organic compounds (VOCs) for early detection of wheat pests. Liu’s innovative research and strong academic performance demonstrate his dedication to advancing food security and pest management solutions.

Professional Profile:

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Suitability for Best Researcher Award

Xinjie Liu is an exceptional young researcher currently pursuing his Bachelor’s degree in Food Science and Engineering at Henan University of Technology. Despite his early academic stage, Liu has already made significant contributions to research, particularly in the area of pest detection and food security. His published paper, “Volatile Organic Compounds as Early Detection Indicators of Wheat Infected by Sitophilus oryzae”, in the journal Foods, exemplifies his ability to apply advanced analytical techniques such as gas chromatography-mass spectrometry (GC-MS) in agricultural science. Liu’s work introduces a novel approach for pest monitoring using volatile organic compounds (VOCs), a breakthrough that has the potential to transform pest management and improve food security in agricultural systems.

🎓 Education

Liu is currently pursuing a Bachelor’s degree in Food Science and Engineering (2022–Present) at Henan University of Technology. His studies specialize in storage insect pest control, with coursework covering food processing, safety, nutrition, and pest management. Liu has developed a strong theoretical foundation with a practical approach to research. He has published a paper in Foods, investigating the use of volatile organic compounds (VOCs) for detecting wheat pest infestations, showcasing his expertise in food safety and pest management.

🏢 Professional Experience

Liu has contributed to innovative research projects aimed at improving food quality, such as enhancing the quality of aged peanuts. He has also designed a low-temperature sampling device for collecting micro-tissue samples efficiently. His research on VOCs as biomarkers for early detection of wheat pests, published in Foods, offers a promising new tool for pest management in grain storage. Additionally, Liu actively engages in outreach activities, including workshops and seminars, to promote the application of VOC-based detection methods in agriculture and food science. His focus on integrated pest management and food safety highlights his commitment to solving real-world agricultural challenges.

🏅 Awards and Honors

Liu’s innovative work has earned him several recognitions, including a nomination for the Best Researcher Award for his pioneering research on pest detection. He holds two patents: “Method for Improving Quality of Aged Peanuts” and “Low-Temperature Sampling Device for Micro-Tissue Samples.” Additionally, his paper, “Volatile Organic Compounds as Early Detection Indicators of Wheat Infected by Sitophilus oryzae”, published in Foods, further solidifies his contributions to the field of pest management in agriculture, showcasing his ability to develop practical solutions to real-world challenges.

🔬 Research Focus

Liu’s research is centered on environmental monitoring for grain storage, specifically using volatile organic compounds (VOCs) to detect pest infestations. By identifying specific VOC profiles, he aims to develop real-time monitoring systems that provide timely interventions for pest management. His work focuses on creating cost-effective and scalable pest control solutions and integrated pest management strategies for wheat and grain storage. Liu’s research seeks to enhance food security by providing agricultural professionals with effective tools to monitor and manage pests, with the potential to revolutionize pest control systems globally.

Publication Top Notes:

  • Title: Volatile Organic Compounds as Early Detection Indicators of Wheat Infected by Sitophilus oryzae
  • Year: 2024

 

 

 

Dr. Kailiang Lu | Numerical Simulation | Best Researcher Award

Dr. Kailiang Lu | Numerical Simulation | Best Researcher Award

Dr. Kailiang Lu, China University of Mining and Technology, China

Kailiang Lu is a dedicated Ph.D. candidate in Geological Resources and Geological Engineering at Chang’an University, where he also completed his Bachelor’s in Geophysics. Known for his academic excellence, Kailiang progressed directly from his Master’s studies to a doctoral program, reflecting his strong performance and commitment to research. His work focuses on 3D transient electromagnetic forward modeling and transient electromagnetic migration imaging, contributing valuable insights to the field of geophysics. Kailiang has received several awards, including the National Scholarship for Postgraduate Students and the Outstanding Graduate Student Scholarship at Chang’an University in 2018 and 2019.

Professional Profile:

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Suitability for the Award:

Kailiang’s research directly aligns with the objectives of the Best Researcher Award, as he has demonstrated both technical innovation and a strong publication record in geophysical methods. His achievements in developing computational algorithms for transient electromagnetic data modeling position him as an influential researcher in the field of geological engineering.

Academic Background:

Kailiang Lu is a Ph.D. candidate in Geological Resources and Geological Engineering at Chang’an University, where he also completed his Bachelor’s and Master’s studies in Geophysics. Due to his exceptional academic performance, Kailiang transitioned directly to his doctoral studies, bypassing the requirement for a formal master’s degree.

Research Focus:

Kailiang’s research specializes in 3D Transient Electromagnetic Forward Methods and Transient Electromagnetic Migration Imaging, where he advances imaging and analysis techniques in geological studies.

Awards & Honors:

His academic journey is marked by multiple recognitions, including the Outstanding Graduate Student Scholarship (2018, 2019) and the prestigious National Scholarship for Postgraduate Students. These accolades underscore his dedication and achievements in geophysical research and innovation.

Publication Top Notes:

  • New multi-resolution and multi-scale electromagnetic detection methods for urban underground spaces
    • Citations: 19
    • Year: 2018
  • A precise integration transform algorithm for transformation from the transient electromagnetic diffusion field into the pseudo wave field
    • Citations: 16
    • Year: 2021
  • The application of multi-grounded source transient electromagnetic method in the detections of coal seam goafs in Gansu Province, China
    • Citations: 15
    • Year: 2021
  • Second-order Born approximation imaging algorithm for transient electromagnetic pseudo wave-field
    • Citations: 10
    • Year: 2022
  • A new method for space-based detecting small-scale space debris with high-resolution using transient electromagnetism
    • Citations: 9
    • Year: 2018

 

 

Prof Dr. Zhenyu Zhao | Computational Mathematics | Best Researcher Award

Prof Dr. Zhenyu Zhao | Computational Mathematics | Best Researcher Award

Prof Dr. Zhenyu Zhao, Shandong University of Technology, China

Prof. Dr. Zhenyu Zhao is a distinguished professor at Shandong University of Technology in Zibo, China, since October 2019, following a notable academic tenure at Guangdong Ocean University, where he served as a professor and associate professor from 2008 to 2019. He completed his postdoctoral research at Fudan University (2010-2012) and earned his Doctor of Science degree at Shanghai University (2004-2008), along with a Master of Science from Hebei University of Technology (2001-2004). A dedicated researcher, Prof. Zhao has led significant projects, including a National Natural Science Foundation of China initiative and an innovation project in Guangdong, securing substantial funding for both. His commitment to mathematics and statistics not only advances scholarly research but also inspires the next generation of students in his field.

Professional Profile

Scopus

Suitability for the Best Researcher Award:

Prof. Zhenyu Zhao’s long-standing contributions to the field of applied mathematics, his successful leadership in significant national research projects, and his impactful publications make him a strong candidate for the Best Researcher Award. His work on numerical differentiation and inverse problems, along with his innovative application of regularization methods, highlights his role as a leader in advancing computational mathematics. His ability to secure research funding and his influence in mathematical research through highly cited publications further underscore his importance in the academic community.

Academic Background:

Prof. Dr. Zhenyu Zhao is a distinguished professor at Shandong University of Technology in Zibo, China, since October 2019. He previously served at Guangdong Ocean University in Zhanjiang, China, where he held professorship roles from December 2015 to September 2019 and served as an associate professor from October 2008 to November 2015. He completed his postdoctoral research at Fudan University in Shanghai (2010-2012) and earned his Doctor of Science degree at Shanghai University (2004-2008). Additionally, he holds a Master of Science degree from Hebei University of Technology (2001-2004).

Research Contributions:

Prof. Zhao has actively contributed to the field through several significant research projects, including a National Natural Science Foundation of China project (2013-2015) with total funding of 220,000 RMB and an innovation project in Guangdong (2018-2022) that received 600,000 RMB in funding.

Impact and Legacy:

With a strong commitment to mathematics and statistics, Prof. Zhao continues to inspire students and advance research in his field, showcasing excellence in both education and scholarly contributions. 🌟

Publication Top Notes:

  • Title: Numerical differentiation for two-dimensional scattered data on arbitrary domain based on Hermite extension with an implicit iteration process
    • Publication Year: 2022
    • Citations: 1
  • Title: A numerical differentiation method based on Legendre expansion with super order Tikhonov regularization
    • Publication Year: 2021
    • Citations: 2
  • Title: A Hermite extension method for numerical differentiation
    • Publication Year: 2021
    • Citations: 5
  • Title: Identifying an Unknown Source in the Poisson Equation with a Super Order Regularization Method
    • Publication Year: 2020
    • Citations: 3
  • Title: Numerical differentiation for two-dimensional functions by a Fourier extension method
    • Publication Year: 2020
    • Citations: 8

 

 

 

Dr. Olumuyiwa Otegbeye | Numerical Methods | Best Researcher Award

Dr. Olumuyiwa Otegbeye | Numerical Methods | Best Researcher Award

Dr. Olumuyiwa Otegbeye, University of the Witwatersrand, South Africa

Dr. Olumuyiwa Otegbeye is a dedicated academic with a rich background in applied mathematics. He earned his Ph.D. in Applied Mathematics from the University of KwaZulu-Natal, where he also completed his M.Sc. and B.Sc. Hons. degrees, and holds a B.Sc. Hons. in Pure and Applied Mathematics from Bowen University. Dr. Otegbeye has served as a Lecturer at the University of the Witwatersrand, Johannesburg, and held postdoctoral and teaching positions at the University of KwaZulu-Natal. His early career included teaching mathematics at Nigeria Defence Academy Primary School. He boasts an H-Index of 7 on Google Scholar, 6 on Scopus, and 4 on Web of Science, reflecting his significant scholarly impact. Additionally, Dr. Otegbeye contributes as a reviewer for prominent journals such as Mathematics (MDPI), Axioms, International Journal of Modern Physics B, and Mathematics and Computers in Simulation.

🌍 Professional Profile

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Suitability for Best Researcher Award:

Dr. Olumuyiwa Otegbeye is a strong candidate for the Best Researcher Award due to his comprehensive achievements in applied mathematics, evidenced by his research impact, teaching roles, and contributions to postgraduate supervision. His active participation in academic communities and his notable bibliometric performance further affirm his qualifications for this recognition.

🎓 Academic Qualifications:

Dr. Otegbeye earned his Ph.D. in Applied Mathematics from the University of KwaZulu-Natal, following an M.Sc. and B.Sc. Hons. in Applied Mathematics from the same institution. He also holds a B.Sc. Hons. in Pure and Applied Mathematics from Bowen University.

🌍 Ratings and Citations:

His scholarly impact is notable, with an H-Index of 7 on Google Scholar, 6 on Scopus, and 4 on Web of Science, along with significant citations across these platforms.

📈 Reviewer Experience:

Dr. Otegbeye reviews for prominent journals including Mathematics (MDPI Publishing House), Axioms, International Journal of Modern Physics B, and Mathematics and Computers in Simulation.

📚 Current and Previous Positions:

Dr. Olumuyiwa Otegbeye has held several academic roles, including Lecturer at the University of the Witwatersrand, Johannesburg, from January 2021 to March 2024. Prior to this, he was a Postdoctoral Fellow at the University of KwaZulu-Natal (May 2019 – December 2020) and served as an Adhoc Mathematics Lecturer and Demonstrator/Tutor at the same institution. He began his academic career as a Mathematics Teacher at Nigeria Defence Academy Primary School.

Publication Top Notes:

  • Title: Magnetohydrodynamic Bio-Convective Casson Nanofluid Flow: A Numerical Simulation by Paired Quasilinearisation
    • Cited by: 33
    • Year: 2020
  • Title: A Machine Learning Solution Framework for Combatting COVID-19 in Smart Cities from Multiple Dimensions
    • Cited by: 32
    • Year: 2020
  • Title: A Novel Smart City-Based Framework on Perspectives for Application of Machine Learning in Combating COVID-19
    • Cited by: 29
    • Year: 2021
  • Title: A Paired Quasi-Linearization on Magnetohydrodynamic Flow and Heat Transfer of Casson Nanofluid with Hall Effects
    • Cited by: 20
    • Year: 2019
  • Title: Wind Energy Resource Assessment in South Western of Algeria
    • Cited by: 19
    • Year: 2019

 

 

 

Dr. Majeed Ahmad Yousif | Numerical Methods Awards | Best Researcher Award

Dr. Majeed Ahmad Yousif | Numerical Methods Awards | Best Researcher Award

Dr. Majeed Ahmad Yousif, University of Zakho, Iraq

Dr. Majeed Ahmad Yousif is a dedicated researcher and lecturer in Mathematics at the University of Zakho in Duhok, Iraq, where he has been contributing to academia since October 25, 2011. Currently pursuing a Ph.D. in Mathematics at the same institution, Dr. Yousif focuses his research on Numerical Differential Equations, Numerical Methods, Numerical Fluid Mechanics, Non-polynomial spline methods, and Numerical Fractional Differential Equations. His scholarly work aims to advance computational techniques for solving intricate mathematical problems, particularly in fluid mechanics and differential equations, making notable contributions to the field of numerical analysis.

Professional Profile:

Orcid

🎓 Education:

Dr. Majeed Ahmad Yousif is currently pursuing a Ph.D. in Mathematics at the University of Zakho in Duhok, Iraq. His academic journey underscores his dedication to advancing knowledge in mathematics, focusing on specialized research and scholarly pursuits at the university.

💼 Employment:

Dr. Majeed Ahmad Yousif has been a dedicated Lecturer in Mathematics at the University of Zakho in Duhok, Iraq, since October 25, 2011. With over a decade of experience in academia, he has contributed significantly to the university’s educational mission, imparting knowledge and fostering intellectual growth among students. Dr. Yousif’s commitment to mathematics education underscores his passion for teaching and his role in shaping the next generation of scholars in Iraq.

🔍 Research Focus:

Dr. Majeed Ahmad Yousif is a distinguished researcher specializing in Numerical Differential Equations, Numerical Methods, Numerical Fluid Mechanics, Non-polynomial spline methods, and Numerical Fractional Differential Equations. His expertise lies in advancing computational techniques to solve complex mathematical problems, particularly in fluid mechanics and differential equations. Dr. Yousif’s research contributions have significantly impacted the field of numerical analysis, emphasizing innovative approaches to enhance accuracy and efficiency in computational modeling and simulations.

Publication Top Note:

  • Title: Efficient Simulation of Time-Fractional Korteweg-de Vries Equation via Conformable-Caputo Non-Polynomial Spline Method
    • Date: 2024-06-26
  • Title: A Computational Study of Time-Fractional Gas Dynamics Models by Means of Conformable Finite Difference Method
    • Date: 2024-06-19
  • Title: On Multiple-Type Wave Solutions for the Nonlinear Coupled Time-Fractional Schrödinger Model
    • Date: 2024-05-03
  • Title: The Fractional Non-Polynomial Spline Method: Precision and Modeling Improvements
    • Date: 2024-04
  • Title: Some New Fractional Inequalities Defined Using cr-Log-h-Convex Functions and Applications
    • Date: 2024-04-01

 

 

 

 

Dr. Yasir Nawaz | Computational Method | Best Researcher Award

Dr. Yasir Nawaz | Computational Method | Best Researcher Award

Dr. Yasir Nawaz, Comwave Institue, Pakistan

Dr. Yasir Nawaz is an esteemed mathematician and Assistant Professor at Comwave Institute of Science & Information Technology, Pakistan, where he has been serving since November 2023. He completed his Ph.D. in Mathematics, specializing in Computational & Applied Mathematics, from Air University Islamabad, focusing on Numerical Techniques for Boundary Layer Problems. Prior to his doctoral studies, he earned an M.Phil in Pure Mathematics as a Gold Medalist from Quaid-i-Azam University Islamabad and an M.Sc. in Mathematics from the same institution. Dr. Yasir’s research proficiency extends to Matlab, Mathematica, and Comsol, where he applies his expertise in coding, simulations, and algebraic computations. With a strong academic background and a commitment to teaching, he has held various positions, including Lecturer at Hitec University Taxila, Visiting Faculty Member at Nu-Fast, and an online instructor for international students, garnering top honors throughout his educational and professional journey.

Professional Profile:

Scopus

🏫 Academic Qualifications:

Dr. Yasir Nawaz completed his Ph.D. in Mathematics, specializing in Computational & Applied Mathematics, from Air University Islamabad, Pakistan (2017-2020), achieving a perfect C.G.P.A of 4/4. His doctoral thesis focused on Numerical Techniques for Boundary Layer Problems. Prior to this, he earned an M.Phil in Pure Mathematics (Gold Medalist) from Quaid-i-Azam University Islamabad, Pakistan (2006-2008), with a thesis on (α, β)-Fuzzy Ideals in Semigroups, and an M.Sc. in Mathematics from the same institution (2004-2006).

📜 Educational Achievements:

  • First Position in M.Phil at the Department of Mathematics and the Faculty of Natural Sciences, Quaid-i-Azam University.
  • Second Position in B.Sc-II Punjab University Exam 2004 at F.G. Sir Syed College, The Mall Rawalpindi Cantt.

👨‍🏫 Professional Experience:

Dr. Yasir has held various academic positions, including:

  • Lecturer at the Department of Mechanical Engineering, Hitec University Taxila, Pakistan.
  • Visiting Faculty Member at Nu-Fast.
  • Online Teacher for international students.
  • Assistant Professor at Comwave Institute of Science & Information Technology (since November 2023).

💻 Research and Skills:

His research expertise includes Numerical Techniques for Boundary Layer Problems, with proficiency in software tools such as Matlab, Mathematica, and Comsol for coding, simulations, and algebraic computations.

🌍 Distinctions and Honors:

  • Achieved first positions in M.Phil at both the departmental and faculty levels.
  • Secured top positions in B.Sc. and intermediate exams.

Publication Top Notes:

  • Title: A two-stage multi-step numerical scheme for mixed convective Williamson nanofluid flow over flat and oscillatory sheets
    • Year: 2024
  • Title: Fractal Numerical Investigation of Mixed Convective Prandtl-Eyring Nanofluid Flow with Space and Temperature-Dependent Heat Source
    • Year: 2024
  • Title: A two-stage reliable computational scheme for stochastic unsteady mixed convection flow of Casson nanofluid
    • Year: 2024
  • Title: A Hybrid SIR-Fuzzy Model for Epidemic Dynamics: A Numerical Study
    • Year: 2024
  • Title: Precision in disease dynamics: Finite difference solutions for stochastic epidemics with treatment cure and partial immunity
    • Year: 2024