Tsaijung Chen | Mathematical modeling | Best Researcher Award

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Assist. Prof. Dr. Tsaijung Chen | Mathematical modeling | Best Researcher Award

Tsaijung Chen , Assistant Professor , National Pingtung University of Science and Technology , Taiwan.

Dr. Tsai-Jung Chen is an accomplished Assistant Professor at National Pingtung University of Science and Technology, Taiwan. With a Ph.D. in Mathematics, her career seamlessly bridges theoretical mathematical modeling with practical engineering solutions. She has led or co-led 28 industrial-academic research projects, displaying her capability in both academia and industry. Her focus includes AI algorithms, numerical computation, and mathematical physics, contributing significantly to regenerative combustion, steelmaking optimization, and mechanical system design. Dr. Chen’s innovations result in tangible industrial applications through software development. Her dynamic contributions make her a valuable leader in the interdisciplinary intersection of applied mathematics and engineering.

Publication Profile

Scopus

ORCID

🎓 Education Background

Dr. Tsai-Jung Chen earned her Ph.D. in Mathematics, specializing in mathematical physics, numerical computation, and algorithmic programming. Her academic journey laid a strong foundation in analytical thinking, enabling her to pursue innovative research in AI modeling, engineering computation, and algorithm development. Her academic training is enriched with advanced applied mathematics and simulation, which she leverages to address real-world industrial challenges. This robust education has positioned her as a thought leader, combining deep theoretical knowledge with forward-looking practical application in cross-disciplinary fields such as mechanical engineering and fluid dynamics.

💼 Professional Experience

Currently serving as an Assistant Professor at National Pingtung University of Science and Technology, Dr. Tsai-Jung Chen has extensive academic and research experience. She has actively contributed to 28 industry and government-funded projects, with 13 led as Principal Investigator and 15 as Co-PI. Her collaborations span multiple sectors, including partnerships with CSC, MIRDC, and Chih Lien Industrial Co. She has served as an evaluator for academic theses and is a dedicated educator and software developer. Her expertise also includes conference presentations, journal publications, and patent innovations, all reflective of a strong academic-industrial synergy.

🏆 Awards and Honors

Dr. Chen was invited to review top academic theses at the 23rd CSMMT in 2020, demonstrating her recognition in the field of mathematics and computer-aided engineering. Her induction into the prestigious Phi Tau Phi Honor Society further illustrates her academic distinction. Additionally, her contributions to industrial mathematics and applied AI have been recognized through funded projects by Taiwan’s National Science and Technology Council (NSTC) and private industries. Though modest about her accolades, her consistent project leadership and publication record are proof of her recognition in both scholarly and practical domains.

🔬 Research Focus

Dr. Chen’s research spans regenerative combustion, low-carbon steelmaking, AI/metaheuristics, thermal-fluid simulation, and PDE-based mechanical modeling. Her projects aim to tackle engineering inefficiencies using high-precision mathematical frameworks. She designs optimization tools powered by AI and develops user-friendly Windows-based software for industries. Her publications and research outputs target solving real-world engineering problems through advanced computation, and her cross-disciplinary approach enables groundbreaking work in mechanical design and energy systems. Through these efforts, she continues to push the envelope on merging abstract mathematical theory with applied industrial innovation.

📌 Conclusion

Dr. Tsai-Jung Chen exemplifies academic excellence and innovation through her diverse expertise in mathematics, AI, and industrial engineering. Her passion for converting complex theories into practical applications makes her a pioneer in research that drives sustainable and efficient technologies. From education to execution, Dr. Chen delivers impactful contributions to academia and industry alike, setting a strong example of interdisciplinary excellence. Her continued dedication, collaborative efforts, and intellectual leadership make her an outstanding candidate for the Best Researcher Award in Computer Scientists Awards.

📚 Top Publications by Tsai-Jung Chen

  1. Simulation of Staged Combustion Function in Double P-Type Radiant Tubes
    🔹 Year: 2022 | Journal: Journal of the Energy Institute
    🔹 Cited by: 3 articles on Scopus

  2. Optimization of Arrangements of Heat-Storage Bricks in a Regenerative Combustion System by Tree Search
    🔹 Year: 2021 | Journal: Applied Thermal Engineering
    🔹 Cited by: 6 articles on Scopus

  3. Computer Numerical Simulations of Gas-Fired Radiant Tubes
    🔹 Year: 2020 | Journal: Energy Reports
    🔹 Cited by: 8 articles on Scopus

  4. Optimization on Linkage System for Vehicle Wipers by the Method of Differential Evolution
    🔹 Year: 2019 | Journal: Mechanism and Machine Theory
    🔹 Cited by: 11 articles on Scopus

  5. Parametric Analysis of a High-efficient Heat Exchanger
    🔹 Year: 2018 | Journal: International Journal of Heat and Mass Transfer
    🔹 Cited by: 4 articles on Scopus

  6. Geometric Analysis of the Vibration of Rubber Wiper Blade
    🔹 Year: 2017 | Journal: Journal of Sound and Vibration
    🔹 Cited by: 7 articles on Scopus

  7. Geometric Aspects of the Lame Equation and Plate Theory
    🔹 Year: 2016 | Journal: Applied Mathematics and Computation
    🔹 Cited by: 5 articles on Scopus

  8. Mathematical Formulae for the Vibration Frequencies of Rubber Wiper on Windshield
    🔹 Year: 2015 | Journal: Mechanical Systems and Signal Processing
    🔹 Cited by: 10 articles on Scopus

 

MANIKANDAN S | Mathematics | Best Researcher Award

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MANIKANDAN S | Mathematics | Best Researcher Award

Research Scholar, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India

Mr. Manikandan S is an aspiring academic and researcher in the field of applied mathematics, currently pursuing his Ph.D. in Fractional Mathematical Modelling at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai. With a passion for mathematical research and a keen interest in fractional calculus, he has made significant contributions to the mathematical modelling of real-world problems such as epidemic disease transmission. His expertise spans across various tools like MATLAB, SCILAB, R-Language, SPSS, and LaTeX, coupled with proficiency in programming languages like C and C++. He is a dedicated researcher recognized for his presentations at international conferences and has publications in high-impact Q1 journals indexed in Scopus and Web of Science.

Publication Profile

📘 Education Background

Mr. Manikandan completed his B.Sc. in Mathematics from Government Arts and Science College, Veppanthattai (Bharathidasan University) in 2018 with 58%, followed by an M.Sc. in Mathematics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, graduating with a CGPA of 8.2 in 2022. He is presently pursuing his Ph.D. in Fractional Mathematical Modelling at the same institute since January 2023. His academic journey reflects his progressive dedication to research in applied mathematics and control theory.

💼 Professional Experience

While currently focused on doctoral research, Mr. Manikandan has actively engaged in professional development through numerous workshops, FDPs, and conference presentations. He has attended national and international-level events including FDPs on numerical techniques and Python for engineering applications, as well as workshops on research methodology and applied mathematical research hosted by prestigious institutions like VIT and SRM Institute of Science and Technology.

🏅 Awards and Honors

Mr. Manikandan is a Life Member of the International Association of Engineers (IAENG) and was honored with the Best Paper Presentation Award for his paper on Zika virus control using fractional-order models at the 7th International Conference on Mathematical Modelling, Applied Analysis, and Computation (ICMMAAC-24). His commitment to knowledge enhancement is evident from his completion of multiple international MOOCs from platforms like Coursera and CISCO in areas ranging from Python to Cybersecurity and Differential Equations.

🔬 Research Focus

His core research revolves around Differential Equations, Control Theory, and advanced topics like Fractal-Fractional Mathematical Modelling and Stochastic Analysis. He is especially focused on modeling infectious diseases using fractional differential systems like Atangana–Baleanu and Caputo–Fabrizio operators. His recent patent titled “A Statistical Method for Parkinson’s Disease Prognosis Using Clinical Data” also highlights his interdisciplinary innovation in mathematical applications for healthcare.

✅ Conclusion

Mr. Manikandan S is a motivated and evolving researcher whose work integrates deep mathematical theory with impactful real-world applications. With growing recognition in the academic community, a strong publication record, and an interdisciplinary approach, he continues to pave the way in the domain of fractional mathematical modelling and epidemiological research.

📚 Top Publications 

Fractal-fractional mathematical modeling of monkeypox disease and analysis of its Ulam–Hyers stability
Boundary Value Problems, 2025 (Q1, SCI – WoS – Scopus)
 Cited by: 3 articles

A Fractal-Fractional Mathematical Model for COVID-19 and Tuberculosis using Atangana–Baleanu Derivative
Mathematical and Computer Modelling of Dynamical Systems, 30(1), 2024 (Q1, SCI – WoS – Scopus)
Cited by: 6 articles

Mathematical Modelling of HIV/AIDS Treatment using Caputo–Fabrizio Fractional Differential Systems
Qualitative Theory of Dynamical Systems, 23(149), 2024 (Springer, Q1, SCI – WoS)
Cited by: 4 articles

Optimal Control Strategies for Dengue Fever Transmission Using Atangana-Baleanu Fractional Order Models
Indian Journal of Natural Sciences, 15(87), 2024 (WoS Indexed)
Cited by: 2 articles

Symmetry Analyses of Epidemiological Model for Monkeypox Virus with Atangana–Baleanu Fractional Derivative
Symmetry, 2023 (SCI Journal)
Cited by: 5 articles

João Maurício de Carvalho | Mathematics | Best Researcher Award

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Prof Dr. João Maurício de Carvalho | Mathematics | Best Researcher Award

Associate member, CMUP, Portugal

João Paulo Simões Maurício de Carvalho is an accomplished mathematician specializing in applied mathematics and dynamical systems. As an Associate Member of the Centre for Mathematics at the University of Porto (CMUP), his research delves into complex mathematical models, particularly in epidemiology. With a strong background in mathematical engineering and astronomy, João Paulo is dedicated to advancing knowledge in his field through innovative research and active participation in academic conferences.

Publication Profile

Assessment for Researcher Award Consideration: João Paulo Simões Maurício de Carvalho

Strengths for the Award:

  1. Academic Excellence: João has a robust academic background, including a Ph.D. in Applied Mathematics and a MSc in Mathematical Engineering from prestigious institutions. His education aligns well with his research focus, particularly in the areas of mathematical modeling and dynamical systems.
  2. Publication Record: João has a solid portfolio of publications in reputable journals, including contributions to the SIR model in epidemiology, fractional models for diseases like COVID-19 and Type 1 Diabetes, and studies on AIDS-defining malignancies. His work is well-cited, indicating its impact in the field.
  3. Conference Contributions: He has been an active participant in several national and international conferences, both as a speaker and attendee. His invitations to speak at various events highlight his recognition in the academic community.
  4. Research Grants and Memberships: João has been the recipient of multiple research grants, demonstrating his ability to secure funding for his research projects. He is also an Associate Member of the Centre for Mathematics at the University of Porto (CMUP), further validating his standing in the academic community.
  5. Peer Review Contributions: His role as a peer reviewer for the International Journal of Applied and Computational Mathematics shows his expertise is trusted by peers, adding to his credibility.

Areas for Improvement:

  1. Broader Impact: While João’s research is highly specialized, expanding the application of his work to broader fields or interdisciplinary areas could increase its impact and appeal for broader recognition.
  2. Collaborative Projects: Engaging in more collaborative research projects, especially those with international partners or in emerging fields, could enhance his research profile and global visibility.
  3. Outreach and Public Engagement: Increasing his involvement in public outreach or applied research that directly benefits society could strengthen his case for awards that value practical contributions alongside academic achievements.

 

Education 🎓

João Paulo earned his Ph.D. in Applied Mathematics in 2024 from the MAP-PDMA program, a collaboration between the Faculty of Sciences, University of Porto (FCUP), Aveiro, and Minho. Prior to this, he completed a Master’s degree in Mathematical Engineering in 2016 and a Bachelor’s degree in Astronomy in 2014, both from FCUP. He also pursued advanced studies in Estimation, Control, Optimization, and Data Science, with applications to cyber-physical systems, at the Faculty of Engineering, University of Porto (FEUP) in 2020/2021.

Experience 💼

João Paulo has gained extensive research experience as an Associate Member at CMUP, where he has contributed to various projects focused on chaos and stabilization in epidemiological models with seasonal variations. He has also held research grant positions at CMUP and participated in international training programs and summer courses. His expertise in mathematical modeling has led to several invited speaker roles at prestigious conferences and seminars.

Research Focus 🔬

João Paulo’s research primarily revolves around the qualitative analysis of epidemiological models, particularly in understanding chaos, bifurcations, and stability. His work often intersects with applied mathematics in life sciences, where he explores the dynamics of diseases through mathematical modeling. His notable contributions include studies on the SIR model with vaccination, fractional models for Type 1 Diabetes, and the role of the immune system in AIDS-defining malignancies.

Awards and Honours 🏆

Throughout his academic journey, João Paulo has received several grants and scholarships, including a Ph.D. scholarship from CMUP for his project on chaos in epidemiological models. He was also a recipient of the MAGIC project grant and participated in a COST Action training school in Turkey. His academic excellence was recognized by the unanimous approval of his Ph.D. thesis in Applied Mathematics.

Publication Top Notes 📝

Pulse vaccination in a SIR model: global dynamics, bifurcations and seasonality (2024) – Accepted
Authors: João P.S. Maurício de Carvalho, Alexandre A. Rodrigues
SIR model with vaccination: bifurcation analysis (2023) – Qualitative Theory of Dynamical Systems
DOI: 10.1007/s12346-023-00802-2
Strange attractors in a dynamical system inspired by a seasonally forced SIR model (2022) – Physica D: Nonlinear Phenomena
DOI: 10.1016/j.physd.2022.133268
Role of the immune system in AIDS-defining malignancies (2022) – Springer Proceedings in Mathematics & Statistics
DOI: 10.1007/978-3-030-77306-9_9
A fractional-order model for CoViD-19 dynamics with reinfection and the importance of quarantine (2021) – Chaos, Solitons & Fractals
DOI: 10.1016/j.chaos.2021.111275

Fractional Model for Type 1 Diabetes (2020) – Springer Proceedings in Mathematics & Statistics
DOI: 10.1007/978-3-030-37062-6_9

Conclusion:

João Paulo Simões Maurício de Carvalho demonstrates a strong and focused research profile, particularly in applied mathematics and dynamical systems related to epidemiology. His academic qualifications, publications, and conference contributions make him a solid candidate for a Researcher Award. However, to strengthen his profile further, he could benefit from expanding the applicability of his research, engaging in more interdisciplinary projects, and increasing public outreach efforts. Overall, João is a strong contender for the Best Researcher Award, particularly in fields related to mathematical modeling and applied mathematics.