Mr. Feng Wang | Computational Analysis | Best Researcher Award

Mr. Feng Wang | Computational Analysis | Best Researcher Award

Mr. Feng Wang, China Three Gorges University, China

Mr. Feng Wang is an Associate Professor at China Three Gorges University, specializing in bridge and tunnel engineering. With a Ph.D. from Wuhan University of Technology, he has conducted groundbreaking research on nonlinear dynamic responses of long-span cable structures. His work has been applied in major engineering projects, contributing significantly to seismic design and wind/ice resistance of overhead transmission lines. As a visiting scholar at The University of Queensland, he collaborated with leading experts to enhance computational analysis methods. With over 50 academic publications and 60 patents, Mr. Wangโ€™s contributions have had a lasting impact on structural engineering. His interdisciplinary approach integrates AI-driven assessment models, vibration suppression techniques, and disaster protection strategies, making him a leader in modern civil engineering. Recognized with multiple teaching awards, he continues to mentor young engineers while advancing critical infrastructure development. ๐Ÿš€๐Ÿ—๏ธ

๐ŸŒ Professional Profile

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๐Ÿ† Suitability for Best Researcher Awardย 

Mr. Feng Wang is a highly accomplished researcher whose work in structural engineering has led to significant advancements in bridge safety, vibration control, and AI-driven assessment models. His contributions address critical engineering challenges, including dynamic catastrophe protection and seismic resistance for large-scale structures. Having led and participated in over 30 research projects funded by prestigious organizations, he has demonstrated exceptional expertise and innovation. His 50+ publications in high-impact journals, 60 patents, and multiple software copyrights reflect his leadership in applied research. His work aligns with global infrastructure development strategies, including the Belt and Road Initiative. Additionally, his recognition as an “Excellent Instructor” underscores his dedication to academia. Mr. Wang’s research not only pushes theoretical boundaries but also translates into real-world applications, making him an outstanding candidate for the Best Researcher Award. ๐Ÿ…๐Ÿ”ฌ

๐Ÿ“š Education

  • Ph.D. in Bridge and Tunnel Engineering (2007โ€“2010) โ€“ Wuhan University of Technology ๐ŸŽ“

    • Dissertation: “Geometric Nonlinear Analysis of Long-Span Three-Tower Composite Girder Cable-Stayed Bridges”
    • Awarded Outstanding PhD Dissertation Award
    • Supervised by Prof. Liu Muyu, Director of the Hubei Provincial Key Laboratory of Road and Bridge Engineering
  • Visiting Scholar (2019โ€“2020) โ€“ The University of Queensland, Australia ๐ŸŒ

    • Fully funded by the China Scholarship Council
    • Collaborated with Prof. Chien Ming Wang on nonlinear dynamics of long-span cable structures

His education provided a strong foundation in computational mechanics, structural stability, and interdisciplinary engineering applications, enabling his impactful research in bridge safety and AI-driven assessment methods. ๐ŸŽ“๐Ÿ“–

๐Ÿ‘จโ€๐Ÿ”ฌ Experienceย 

  • Associate Professor, China Three Gorges University (2015โ€“Present) ๐Ÿ—๏ธ

    • Conducts research in bridge engineering, computational analysis, and AI-driven infrastructure assessment
    • Supervises Master’s students in civil and electrical engineering
  • Lecturer, China Three Gorges University (2011โ€“2015) ๐Ÿ“š

    • Promoted to Associate Professor in 2015
  • Assistant Engineer, China Communications Construction Company (2002โ€“2004) ๐Ÿšง

    • Worked on highway base and surface construction
  • Visiting Researcher, The University of Queensland (2019โ€“2020) ๐ŸŒ

    • Specialized in long-span cable structure dynamics

With over two decades of experience in academia and industry, Mr. Wang has contributed to major engineering projects and advanced computational methods in structural analysis. ๐Ÿ”๐Ÿ—๏ธ

๐Ÿ… Awards and Honors

  • Outstanding PhD Dissertation Award (2010) โ€“ Wuhan University of Technology ๐ŸŽ“๐Ÿ†
  • Excellent Instructor Award (2014, 2017, 2018) โ€“ “Gaojiao Cup” National College Students’ Advanced Drawing Technology Competition ๐Ÿ…๐Ÿ‘จโ€๐Ÿซ
  • National Natural Science Foundation of China (NSFC) Grant Recipient โ€“ Led multiple funded research projects ๐Ÿ’ฐ๐Ÿ”ฌ
  • China Scholarship Council Award (2019โ€“2020) โ€“ Fully funded visiting scholar at The University of Queensland ๐Ÿ‡จ๐Ÿ‡ณ๐ŸŒ
  • 60+ Patents & 5 Software Copyrights โ€“ Innovations in bridge engineering, AI models, and disaster protection ๐Ÿ—๏ธ๐Ÿ’ก

Mr. Wangโ€™s recognitions highlight his research excellence, innovation, and contributions to structural engineering and education. ๐ŸŒŸ๐ŸŽ–๏ธ

๐Ÿ”ฌ Research Focusย 

Mr. Feng Wangโ€™s research revolves around computational structural analysis, AI-driven assessment models, and disaster protection technologies for large-scale infrastructure. His work in geometric nonlinear analysis enhances bridge safety and longevity, while his vibration suppression techniques improve the stability of ultra-long stay cables. He has pioneered AI-based models to assess bridge components, ensuring optimal maintenance and damage prevention. His research extends to dynamic catastrophe protection, helping safeguard overhead transmission lines from extreme environmental conditions. ๐ŸŒ‰๐Ÿ’ก

By integrating Big Data Analytics, AI, and engineering mechanics, he develops predictive models that optimize bridge resilience. His interdisciplinary approach aligns with Chinaโ€™s Belt and Road Initiative, focusing on sustainable infrastructure. His contributions advance both fundamental research and practical applications, making a lasting impact on structural engineering. ๐Ÿ—๏ธ๐Ÿ”

Publication Top Notes:

Title : Coupled Parametric Vibration Model and Response Analysis of Single Beam and Double Cable Under Deterministic Harmonic and Random Excitation
Published Year : 2024

 

 

 

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,ย  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:

Google Scholar
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Suitability for Best Researcher Award

Xinjie Liu is an exceptional young researcher currently pursuing his Bachelorโ€™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.

๐ŸŽ“ Education

Liu is currently pursuing a Bachelorโ€™s degree in Food Science and Engineering (2022โ€“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.

๐Ÿข 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.

๐Ÿ… Awards and Honors

Liuโ€™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: โ€œMethod for Improving Quality of Aged Peanutsโ€ and โ€œLow-Temperature Sampling Device for Micro-Tissue Samples.โ€ 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.

๐Ÿ”ฌ Research Focus

Liuโ€™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

 

 

 

Mrs. Devi Latha S | Performance Analysis | Best Researcher Award

Mrs. Devi Latha S| Performance Analysis | Best Researcher Award

Mrs. Devi Latha S, Vel Tech Rangarjan DR.Sagunthalaย  R&D Instituteย  Of ScienceCIENCE Andย  Technology , India

S. Devi Latha is a dedicated academic and researcher in the field of mathematics education, currently pursuing her Ph.D. at Vel Tech University, Chennai. With a career spanning over a decade, she has served as an assistant professor at Vel Tech RangaSanku Arts College. Her research interests include queueing theory, differential equations, and complex analysis. Latha has consistently excelled in her academic journey, having secured top ranks in both her M.Sc. and B.Sc. examinations. Her passion for teaching and research has led her to contribute significantly to both theoretical and applied mathematics. She has also participated in various international conferences and faculty development programs, continually seeking to enhance her knowledge and skills.

Professional Profile:

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๐ŸŽ“Education:

Latha holds a B.Sc. and M.Sc. in Mathematics from V.H.N.S.N. College, Virudhunagar, where she achieved first rank in both. She completed her M.Phil. in Mathematics in 2008, graduating with an impressive 90% at M.K. University. Currently, she is pursuing a Ph.D. in Mathematics at Vel Tech University, Chennai. Latha also holds a B.Ed. degree, equipping her with a well-rounded approach to teaching. Her educational background is complemented by ongoing participation in faculty development programs and workshops to stay updated in the field. This dedication to learning enhances her teaching and research capabilities.

๐ŸขExperience:

S. Devi Latha has amassed over 16 years of experience in teaching mathematics at various prestigious institutions. She started her career as a Lecturer at Kavery Engineering College in 2008 and has since held teaching positions at Sardar Raja College of Engineering and Balaji Institute of Engineering and Technology. Since 2016, Latha has been serving as an Assistant Professor at Vel Tech RangaSanku Arts College in Chennai, where she has significantly contributed to the department’s growth. In addition to teaching, Latha’s leadership roles in faculty development programs and her ongoing involvement in research make her a well-rounded educator and academic contributor.

๐Ÿ…Awards and Honors:

Latha has consistently demonstrated excellence in her academic pursuits. She secured the first rank in both her M.Sc. and B.Sc. examinations at the college level, showcasing her exceptional academic abilities. In addition, she earned third place in the SSLC examination at the school level. Her dedication to research and teaching has been recognized with numerous accolades, including awards for her academic performance and presentations at international conferences. Latha has received honors in the form of multiple first-place ranks, which reflect her commitment to excellence in education and research.

๐Ÿ”ฌResearch Focus:

S. Devi Lathaโ€™s research interests lie in the areas of queueing theory, differential equations, and complex analysis. She focuses on exploring mathematical models for optimization in real-world systems, with applications in various industries. Lathaโ€™s recent work has delved into queueing systems, particularly those involving multiple control policies, breakdowns, and feedback mechanisms. She is also engaged in the study of bulk queueing systems and performance analysis. Her ongoing research aims to further the understanding of mathematical modeling in industrial and technological contexts.

Publication Top Notes:ย 

  • “Analyzing the Two-Phase Heterogeneous and Batch Service Queuing System with Breakdown in Two Phases, Feedback, and Vacation”
    • Cited by: 2
  • “Multiple Control Policy in Unreliable Two-Phase Bulk Queueing System with Active Bernoulli Feedback and Vacation”
    • Cited by: 1
  • “Performance Analysis of Rdx Mechanism in Data Transmission Using IBM Web Sphere, AI, and Tandem Queue”
  • “Groups Whose Intersection Graphs Are Complete”
  • “Intersection Graph of Finite Abelian Group and Subgroups of Finite Groups”

 

 

 

Dr. Elisabeta Irina Geana | Performance Analysis Award | Best Researcher Award

Dr. Elisabeta Irina Geana | Performance Analysis | Best Researcher Award

Dr. Elisabeta Irina Geana, National R&D Institute for Cryogenics and Isotopic Technologiesโ€”ICSI Ramnicu Valcea, Romania

Dr. Elisabeta-Irina Geanฤƒ is a distinguished Romanian chemist and Principal Scientific Researcher at the National R&D Institute of Cryogenics and Isotopic Technologies (ICSI) in Rรขmnicu Vรขlcea. Dr. Geanฤƒ has over 15 years of experience in analytical chemistry, specifically focusing on food quality and environmental monitoring. Since 2008, she has advanced from Assistant Scientific Researcher to leading roles within ICSI, including heading the Laboratory of Liquid Chromatography. Dr. Geanฤƒ has an impressive academic background, holding a Ph.D. in Chemistry from the University of Bucharest, along with extensive postdoctoral work at the Polytechnic University of Bucharest. With a publication portfolio comprising 64 ISI-indexed articles and involvement in 37 research projects, she is recognized as a leading expert in the identification and valorization of bioactive compounds. Dr. Geanฤƒ is also a Topic Editor for scientific journals, a reviewer for ISI journals, and a highly awarded researcher.

Professional Profile:

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๐ŸŽ“Education :

Dr. Geanฤƒ’s educational journey is rooted in the University of Bucharest, where she pursued a B.S. in Chemistry (2001โ€“2005) and an M.S. in Therapeutic Chemistry (2005โ€“2007). Her curiosity and commitment to advancing knowledge led her to undertake a Ph.D. in Chemistry, which she completed in 2015. She further broadened her expertise with a Postdoctoral Program (2019โ€“2021) at the Faculty of Applied Chemistry and Materials Science, Polytechnic University of Bucharest. This postdoctoral work provided her with a platform to refine her research in bioactive compounds, agro-industrial waste valorization, and advanced analytical techniques for food quality control. Additionally, she has pursued specialized training, including certifications in GMP, ISO/IEC 17025:2018 standards, metrology in chemistry, and seminars on two-dimensional gas chromatography, enhancing her technical and professional credentials.

๐ŸขExperience :

Dr. Geanฤƒ has a rich professional background in analytical chemistry, having joined ICSI Rรขmnicu Vรขlcea in 2008. She has progressed through several roles, beginning as an Assistant Scientific Researcher and advancing to her current position as Principal Scientific Researcher (CS I). Since 2010, she has led the Laboratory of Liquid Chromatography, where she manages studies on natural compound investigations in foods and beverages. Her work at ICSI has earned her leadership roles in significant national and international research projects. Prior to joining ICSI, Dr. Geanฤƒ worked at SC Biofarm SA as a Quality Control Chemist Analyst, focusing on analytical assessments in pharmaceutical settings, and at the National Institute for Chemical Pharmaceutical Research and Development as a Chemist in Organic Synthesis. Her experience across industries and academia has shaped her as a leader in food quality control, environmental monitoring, and the development of innovative analytical methods.

๐Ÿ…Awards and Honors :

Dr. Geanฤƒ’s contributions to analytical chemistry have garnered numerous awards and accolades. She has received 24 CNCSIS Awards, honoring her impactful publications in top-tier scientific journals. Her research presentations, particularly at international conferences, have been celebrated with 10 awards for best oral and poster presentations. These recognitions underscore her influence in fields such as food chemistry, environmental safety, and bioactive compound analysis. Dr. Geanฤƒโ€™s editorial roles with MDPI journals, including Antioxidants and Separations, further highlight her standing in the research community, where she is known for her expertise and scientific rigor. Her commitment to excellence is evident not only in her own work but also in her contributions as a peer reviewer for renowned ISI journals, where she supports the advancement of research in applied science, sustainability, and environmental science.

๐Ÿ”ฌResearch Focus :

Dr. Geanฤƒโ€™s research centers on the identification and valorization of bioactive compounds, especially those derived from agro-industrial waste, contributing to a sustainable bioeconomy. Her work in food quality control focuses on developing analytical methods to authenticate and assess the safety of food and beverages. Key areas of her research include the detection of environmental contaminantsโ€”such as PAHs, heavy metals, and pesticidesโ€”thereby ensuring public health and environmental safety. Dr. Geanฤƒโ€™s technical expertise encompasses advanced chromatographic and spectrometric techniques, including UHPLC-MS/MS and ICP-MS, which she employs to precisely characterize complex food and plant matrices. Her research projects range from soil conservation and organic food resilience to wine and honey authenticity assessment, making significant strides in safeguarding food quality and supporting sustainable agricultural practices.

Publication Top Notes:

  • “Electrochemical Detection of Glyphosate in Surface Water Samples Based on Modified Screen-Printed Electrodes”
    • Citations: 1
  • “Integrated Nanozyme Electrochemical Sensor for the Detection of Tannic Acid: An Advanced Approach to Rapid and Efficient Environmental Monitoring”
    • Citations: 2
  • “Impact of Encapsulated Saccharomyces cerevisiae Yeasts on the Chemical and Sensory Profiles of Sparkling Cider Produced by the Champenoise Method”
  • “Bee Bread: A Promising Source of Bioactive Compounds with Antioxidant Propertiesโ€”First Report on Some Antimicrobial Features”
    • Citations: 3
  • “Recent Progresses in Compound-Specific Isotope Analysis of Halogenated Persistent Organic Pollutants. Assessing the Transformation of Halogenated Persistent Organic Pollutants at Contaminated Sites”
    • Citations: 5

 

 

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 Zhaoโ€™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. ๐ŸŒŸ

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. 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

๐Ÿซ 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 (ฮฑ, ฮฒ)-Fuzzy Ideals in Semigroups, and an M.Sc. in Mathematics from the same institution (2004-2006).

๐Ÿ“œ 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.

๐Ÿ‘จโ€๐Ÿซ 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).

๐Ÿ’ป 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.

๐ŸŒ 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