Dr. Divya A - Applied Mathematics - Best Researcher Award

Madanapalle Institute of Technology & Science - India

Author Profile

🔢 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

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.

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.