Prof. Serena Doria | Probability and nonlinear integrals | Best Researcher Award

Prof. Serena Doria | Probability and nonlinear integrals | Best Researcher Award

University g. d'Annunzio Chieti-Pescara | Italy

Author Profile 

ORCID 

Summary 


Serena doria, an associate professor at the university g. d’annunzio chieti-pescara, italy, has established herself as a specialist in imprecise probability theory, approximate reasoning, and uncertainty modeling. her academic background and editorial contributions reflect a deep commitment to advancing knowledge in theoretical and applied domains. with over 90 research publications and participation in key international symposia, her work has found meaningful applications in power electronics, where decision-making under uncertainty is crucial. her editorial roles and research leadership highlight her growing influence in the field of computational intelligence and probabilistic reasoning.

Early academic pursuits 

Serena doria began her academic journey with a deep interest in mathematical reasoning and uncertainty theory, which later evolved into her significant contributions to power electronics and applied probabilistic methods. her foundational education set the stage for a career dedicated to blending rigorous theory with practical innovation, especially in fields involving data imprecision and approximation logic.

Professional endeavors 


Currently serving as an associate professor at the university g. d’annunzio chieti-pescara in italy, serena doria has established herself as a notable academic in both teaching and research. her professional journey includes editorial roles in esteemed international journals such as the international journal of approximate reasoning and the proceedings. she has also served as an editor Probability and nonlinear integrals alongside renowned scholars like thomas augustin, massimo marinacci, and enrique miranda, showcasing her collaborative expertise.

Contributions and research focus 


Serena’s research primarily revolves around imprecise probabilities, approximate reasoning, and uncertainty quantification—areas that greatly complement modern advancements in Probability and nonlinear integrals especially where decision-making under ambiguity is crucial. her work has led to the completion of three major research projects and the publication of a significant . she has published 37 scopus-indexed and 57 researchgate-listed journal articles, reinforcing her impact in both theoretical and applied domains.

Impact and influence 


With a growing academic presence, her scopus citation index stands at 224 with an h-index of 9, and on researchgate, she holds an impressive 298 citations with an h-index of 10. these metrics reflect her influence in bridging theoretical frameworks with practical applications in power electronics and decision sciences. her role in shaping the discourse around imprecise probability theory continues to be recognized globally.

Academic cites and recognition 


Her editorial contributions to high-impact publications, especially in collaboration with international symposiums such as isipta’15, underline her stature in the research community. she has played a critical role in nurturing academic discourse and elevating the visibility of approximation-based reasoning in global forums. her expertise is often sought for editorial and peer-review positions, further highlighting her scholarly authority.

Legacy and future contributions 


Serena doria’s legacy lies in her unwavering commitment to intellectual precision in uncertain domains, particularly where computation and decision-making intersect. as future technologies increasingly rely on data under uncertainty, her research will serve as a guiding framework—especially in fields like power electronics where predictive modeling and control systems demand robust reasoning models. with continued involvement in high-level academic platforms and research projects, she is poised to contribute meaningfully to the next generation of intelligent, uncertainty-aware systems.

Publications 

Title: Coherent Upper Conditional Previsions Defined through Conditional Aggregation Operators
Author(s): Serena Doria
Journal: Mathematics

Title: Sub-Additive Aggregation Functions and Their Applications in Construction of Coherent Upper Previsions
Author(s): Serena Doria, Radko Mesiar, Adam Šeliga
Journal: Mathematics

Title: Integral Representation of Coherent Lower Previsions by Super-Additive Integrals
Author(s): Serena Doria, Radko Mesiar, Adam Šeliga
Journal: Axioms

Conclusion 


Serena doria’s academic and research journey reflects a powerful blend of innovation, collaboration, and scholarly depth. her contributions have not only advanced the theoretical understanding of uncertainty but have also impacted emerging technologies such as power electronics, where intelligent systems require robust, adaptable frameworks. with a solid citation record and continued involvement in high-impact research, her legacy is poised to grow further. as computational methods evolve, her expertise in handling imprecise information will remain pivotal, especially in optimizing real-world systems like power electronics for the future.

Dr. Divya A – Applied Mathematics – Best Researcher Award 

Dr. Divya A - Applied Mathematics - Best Researcher Award 

Madanapalle Institute of Technology & Science - India 

Author Profile 

ORCID 

🔢 Early academic pursuits

Divya a’s journey in mathematics began with a strong academic foundation in arcot, ranipet, where she excelled in her secondary and higher secondary education. she secured an impressive 93.17% in her pre-degree and 86.6% in sslc, showcasing her dedication and aptitude for the subject. her passion for mathematics led her to pursue an integrated m.sc. in mathematics at the central university of tamil nadu, where she graduated in 2019 with a commendable 78.4% average. her academic aspirations further propelled her toward advanced research, leading to a ph.d. in mathematics from the prestigious vellore institute of technology, vellore, in 2023.

🎓 Professional endeavors

Divya’s professional career commenced as a teaching cum research assistant at the school of advanced sciences, vellore institute of technology. from june 2019 to june 2022, she was actively involved in both teaching and research, sharpening her expertise in mathematical concepts and pedagogy. in august 2023, she took on the role of assistant professor in the department of mathematics at madanapalle institute of technology & science, andhra pradesh. her position allows her to inspire young minds and contribute significantly to mathematical education and research.

🧮 Contributions and research focus

Her research primarily revolves around chemical graph theory, a specialized field of mathematics that plays a crucial role in the study of chemical structures and their properties. through her Applied Mathematics work, she has explored mathematical models that contribute to a deeper understanding of molecular interactions and graph-theoretical applications in chemistry. her commitment to research continues to push the boundaries of mathematical science, offering innovative solutions and new perspectives in her domain.

🏆 Accolades and recognition

Divya’s academic excellence has been recognized through various achievements, including her success in the graduate aptitude test in engineering (gate) from march 2019 to march 2022. Applied Mathematics qualifying gate is a prestigious accomplishment that highlights her proficiency and deep understanding of mathematical concepts. her research contributions and dedication to academics have positioned her as a promising scholar in the field of mathematical sciences.

🌍 Impact and influence

As an educator and researcher, divya has significantly influenced her students and colleagues by fostering a culture of curiosity and analytical thinking. her dual role in teaching and research allows her to bridge the gap between theoretical knowledge and practical application. by guiding students in mathematical problem-solving and research methodologies, she continues to Applied Mathematics inspire the next generation of mathematicians and researchers.

📚 Legacy and future contributions

Divya envisions a future where mathematical research in chemical graph theory advances interdisciplinary collaborations, benefiting fields such as chemistry, material science, and computational biology. she aims to expand her research contributions, publish impactful studies, and mentor young researchers in exploring the vast potential of applied mathematics. her dedication to teaching and research ensures that her legacy in mathematics will continue to grow, shaping future scholars and innovations.

Notable Publications 

  • Title: Extremal trees for the geometric-arithmetic index with the maximum degree
    Author(s): A. Divya, A. Manimaran
    Journal: Discrete Mathematics Letters, 2022

  • Title: Computation of certain topological indices for 2D nanotubes
    Author(s): A. Divya, A. Manimaran
    Journal: Ricerche di Matematica, 2021

  • Title: Topological indices for the iterations of Sierpiński rhombus and Koch snowflake
    Author(s): A. Divya, A. Manimaran
    Journal: European Physical Journal: Special Topics, 2021

Dr. S. Pourmohammad Azizi – Time series analysis – Excellence in Innovation

Dr. S. Pourmohammad Azizi - Time series analysis - Excellence in Innovation

National Taiwan Ocean University - Taiwan

AUTHOR PROFILE 

SCOPUS

GOOGLE SCHOLAR

EARLY ACADEMIC PURSUITS

Seyed Mohammad Esmaeil Pourmohammad Azizi began his academic journey in mathematics, earning a Bachelor's degree from the University of Mazandaran in 2015 with a GPA of 16.64/20. He continued his studies with a Master’s degree at Allameh Tabataba’i University, Tehran, where he graduated in 2018 with a GPA of 17.69/20. Currently, he is pursuing a Ph.D. in Artificial Intelligence at the Department of Electrical Engineering and Computer Sciences at National Taiwan Ocean University, focusing on Smart Tele-Communication.

PROFESSIONAL ENDEAVORS

Pourmohammad Azizi has gained significant professional experience as an algorithm designer for a Fin-tech company in 2020 and 2021. Additionally, he has been actively involved in Forex Trading since 2018. His professional growth is further enriched by academic visits to Lisbon University in Portugal and Guangzhou University in China.

CONTRIBUTIONS AND RESEARCH FOCUS ON TIME SERIES ANALYSIS

Pourmohammad Azizi’s research contributions are extensive and cover a range of topics in machine learning and financial mathematics. His work includes publications on Dynamical System Decomposition of Signal Learning, Deep Learning Detection for Massive MIMO Systems, Time series analysis and Volatility Forecasting using Artificial Neural Networks. He has also explored Neutrosophic Fuzzy Decision-Making and the application of machine learning in financial decision-making.

IMPACT AND INFLUENCE

His research has made significant impacts in the fields of financial mathematics, machine learning, and artificial intelligence. His contributions to Deep Learning Detection with Probabilistic Tabu Search for Massive MIMO Systems Time series analysis and the integration of machine learning in financial decision-making are widely recognized.

ACADEMIC CITATIONS

Pourmohammad Azizi's work is well-cited in the academic community, reflecting the interdisciplinary influence and relevance of his research. His Google Scholar profile indicates a robust citation record, underscoring his academic impact.

LEGACY AND FUTURE CONTRIBUTIONS

Pourmohammad Azizi aims to continue advancing the fields of smart communications, machine learning, and computational mathematics. His ongoing projects and future research endeavors, such as new models for time series forecasting and exploring dynamical systems in machine learning, promise to contribute significantly to these domains.

NOTABLE PUBLICATIONS

Bitcoin volatility forecasting: An artificial differential equation neural network  2023(1)

An Optimized Method for Solving Membership-based Neutrosophic Linear Programming Problems  2022(2)

Hybrid Approach for Forecasting Stock Exchange Index Combining Statistical Methods and Artificial Neural Network  2021(1)

Neutrosophic Fuzzy Decision-Making Using TOPSIS and Autocratic Methodology for Machine Selection in an Industrial Factory  2024

DeepEigen-Tabu: Deep Eigen Network Assisted Probabilistic Tabu Search for Massive MIMO Detection  2024