María Andrea Arias Serna | Applied Mathematics | Best Researcher Award

Prof. Dr. María Andrea Arias Serna | Applied Mathematics | Best Researcher Award

Professor, Universidad de MEdellín, Colombia

📌 Prof. Dr. María Andrea Arias Serna is an Associate Professor at the School of Engineering, University of Medellín, Colombia 🇨🇴, where she has been contributing since 2010. She holds a degree in Mathematics (2004) from the University of Antioquia and a Master’s in Applied Mathematics (2009) from Universidad EAFIT. Currently, she is pursuing a Ph.D. in Modeling and Scientific Computing at the University of Medellín. She is certified in Risk Management and Derivatives from esteemed institutions 🎓. Her research focuses on applied mathematics, financial risk measures, optimization, matrix-variate distributions, and shape theory. 📊🔢

Publication Profile

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Work Experience

Prof. Dr. María Andrea Arias Serna is an esteemed Associate Professor at the School of Engineering, University of Medellín, Colombia 🇨🇴, where she has been contributing since 2010. With extensive expertise in applied mathematics, financial risk measures, and optimization 📊🔢, she plays a key role in academic research and teaching. Her dedication to advancing mathematical modeling and scientific computing has significantly impacted her field. Passionate about risk assessment and matrix-variate distributions, she integrates theoretical knowledge with practical applications. Through her work, she continues to shape the future of engineering and mathematics education. 🎓✨

Academic Background

Prof. Dr. María Andrea Arias Serna is a dedicated mathematician and researcher from Colombia 🇨🇴. She earned her degree in Mathematics (2004) from the University of Antioquia and later completed a Master’s in Applied Mathematics (2009) at Universidad EAFIT with an outstanding score of 4.6 🎓. Currently, she is pursuing a Ph.D. in Modeling and Scientific Computing at the University of Medellín. Her academic journey reflects a strong foundation in mathematical sciences, focusing on advanced computational techniques, optimization, and financial risk analysis 📊🔢. She continues to contribute to academia through research and teaching. ✨

Expertise & Certifications

Prof. Dr. María Andrea Arias Serna is a distinguished mathematician and researcher from Colombia 🇨🇴, specializing in applied mathematics, financial risk measures, and optimization 📊🔢. She holds a certification in Risk Management (2013) from the International Institute of Professional Education and Research and a certification in Derivatives and Risk (2014) from the University of Illinois at Urbana-Champaign 🎓. These qualifications enhance her expertise in financial modeling and risk assessment. With a strong academic and research background, she integrates theoretical knowledge with real-world applications, contributing significantly to the fields of mathematics and finance. ✨

Research Interests

Prof. Dr. María Andrea Arias Serna is deeply engaged in the fields of applied mathematics and financial risk analysis 📊🔢. Her research focuses on financial risk measures, optimization techniques, and matrix-variate distributions, contributing to advancements in mathematical modeling and data analysis. She also explores shape theory, enhancing geometric and statistical applications 📐📈. Through her work, she aims to develop innovative solutions for complex mathematical and financial challenges. Her expertise bridges theoretical mathematics with real-world applications, making significant contributions to academia and industry. 🚀✨

Fellowships & Awards

Prof. Dr. María Andrea Arias Serna has been recognized for her outstanding academic and research achievements 🎓✨. She received the Honor Tuition Award from the University of Antioquia in both 2002 and 2003 for her exceptional performance in mathematics 🏅📊. In 2014, she was honored with the Best Investigation Award by the University of Medellín for her remarkable contributions to research and innovation 🔬📈. Her accolades highlight her dedication to advancing mathematical sciences and financial risk analysis, reinforcing her reputation as a leading researcher in applied mathematics and optimization. 🚀🔢

Research Focus

Prof. Dr. María Andrea Arias Serna specializes in financial risk analysis, applied mathematics, and optimization 📊🔢. Her research explores quantitative risk modeling, liquidity and operational risk, and matrix-variate distributions, contributing significantly to financial decision-making. She has developed information systems for risk quantification, integrating advanced statistical and computational techniques 🖥️📈. Her studies on Wasserstein barycenter risk measures, beta-Kotz distributions, and matrix-variate Value-at-Risk have advanced risk assessment methodologies in finance and economics 💰📉. Through her extensive publications, she bridges theoretical mathematics with real-world financial applications, solidifying her impact in academia and industry. 🚀🏦

Publication Top Notes

📘 Riesgo Operativo: Técnicas de modelación cuantitativa
📑 Cited by: 16 | 📅 Year: 2014

💻 Design of information system for the Liquidity Risk Management in financial institutions
📑 Cited by: 10 | 📅 Year: 2015

🔢 Algoritmos genéticos: una solución alternativa para optimizar el modelo de inventario (Q; r)
📑 Cited by: 8 | 📅 Year: 2009

📊 Risk measures: a generalization from the univariate to the matrix-variate
📑 Cited by: 7 | 📅 Year: 2021

💾 Information system for the quantification of financial risk
📑 Cited by: 6 | 📅 Year: 2017

🏦 Sistema de información para la cuantificación de pérdidas esperadas: Una aplicación en las entidades del sector solidario colombiano
📑 Cited by: 5 | 📅 Year: 2021

📈 Information system for the quantification of operational risk in financial institutions
📑 Cited by: 5 | 📅 Year: 2016

📉 Information system for the quantification of operational risk in financial institutions
📑 Cited by: 4 | 📅 Year: 2016

📊 (Q, r) MODEL WITH CVaR (alpha) OF COSTS MINIMIZATION
📑 Cited by: 3 | 📅 Year: 2017

💰 Desarrollo de una aplicación para el cálculo del riesgo de crédito en entidades del sector solidario colombiano
📑 Cited by: 2 | 📅 Year: 2022

📊 Development of an application for the calculation of credit risk in entities of the Colombian solidarity sector
📑 Cited by: 2 | 📅 Year: 2022

📈 Risk measures estimation under Wasserstein Barycenter
📑 Cited by: 2 | 📅 Year: 2020

📉 Risk measures and credit risk under the beta-kotz distribution
📑 Cited by: 2 | 📅 Year: 2018

🖥 Arquitectura de software para la medición del riesgo operacional en entidades del sector financiero
📑 Cited by: 2 | 📅 Year: 2017

📊 Matrix‐variate risk measures under Wishart and gamma distributions
📑 Cited by: 1 | 📅 Year: 2024

🖥 Desarrollo de una plataforma tecnológica para la gestión integral del riesgo financiero en el Sector Solidario Colombiano
📑 Cited by: 1 | 📅 Year: 2023

💰 Sistema de Información para la Medición del Riesgo de Liquidez en el Sector Solidario Colombiano
📑 Cited by: 1 | 📅 Year: 2021

🖥 Software suite for the measurement of financial risk
📑 Cited by: 1 | 📅 Year: 2018

📘 Modelación y estrategias en finanzas
📑 Cited by: 1 | 📅 Year: 2012

📊 Matrix-Variate Value-at-Risk: Generalized Beta and F Distributions
📑 Cited by: – | 📅 Year: 2024

Saheb Pal | Mathematics | Best Researcher Award

Dr. Saheb Pal | Mathematics | Best Researcher Award

Post Doctoral Fellow at Indian Institute of Technology Kanpur, India

Dr. Saheb Pal, currently a Postdoctoral Fellow at the Indian Institute of Technology Kanpur, has a prolific academic and research career. With a Ph.D. in mathematical biology and nonlinear dynamics, he has authored numerous high-impact publications in Q1 and Q2 journals. His research focuses on ecological modeling, predator-prey dynamics, and mathematical epidemiology, addressing globally relevant issues such as environmental sustainability and public health. Dr. Pal’s expertise spans mathematical software, advanced computational techniques, and interdisciplinary applications.

Publication Profile

Scopus

Orcid

Google Scholar

🎓Education

Dr. Saheb Pal’s academic journey showcases a consistent pursuit of excellence. He completed his Ph.D. in Mathematics from Visva-Bharati University in 2021, where his thesis, Hunting Cooperation Among Predators: A Mathematical Study of Ecological Models, delved into advanced ecological modeling under the guidance of Dr. Nikhil Pal. His postgraduate studies include an M.Sc. in Mathematics from Visva-Bharati University with a stellar CGPA of 8.28. Before that, he earned his B.Sc. in Mathematics (Honors) from Burdwan University with an impressive 71.12%. His academic endeavors were marked by a deep interest in mathematical biology, nonlinear dynamics, and computational modeling, laying a strong foundation for his research career.

💼Experience

Dr. Saheb Pal brings a wealth of experience as a researcher and educator. Since December 2023, he has been a Postdoctoral Fellow at IIT Kanpur, contributing to cutting-edge mathematical research. He has served as a tutor and teaching assistant for courses such as Introduction to Ordinary Differential Equations and Linear Algebra, mentoring undergraduate and postgraduate students. His involvement in workshops and conferences, including the Advanced Training in Mathematical Biology at IMSc Chennai and the National Conference on Mathematical Biology, reflects his active engagement with the academic community. Dr. Pal’s research collaborations span multiple disciplines, emphasizing his ability to integrate mathematical theory with real-world applications.

🏆Awards and Honors

Dr. Saheb Pal has garnered numerous accolades throughout his academic journey. He secured the prestigious Rank 37 in the CSIR-UGC NET for Mathematical Sciences in 2017 and Rank 193 in the GATE Mathematics Examination in 2018, highlighting his strong foundational knowledge. His research excellence is reflected in invitations to review manuscripts for high-impact journals such as Chaos and Nonlinear Dynamics. Additionally, his participation in international conferences and workshops showcases his commitment to scholarly exchange. Dr. Pal’s achievements underline his expertise in mathematical biology and nonlinear dynamics, making him a recognized figure in the global academic community.

🔬Research Focus

Dr. Saheb Pal’s research focuses on mathematical biology and nonlinear dynamics, addressing critical ecological and epidemiological questions. His work on predator-prey dynamics has revealed insights into phenomena like the hydra effect and multistability. He also explores the role of fear and group defense in ecological systems, contributing to a deeper understanding of species interactions. His innovative use of mathematical models to study human-to-human disease transmission, including COVID-19, underscores the interdisciplinary impact of his research. By employing advanced computational tools and analytical techniques, Dr. Pal aims to develop predictive models that inform sustainable ecosystem management and public health strategies.

Conclusion

Dr. Saheb Pal’s research portfolio, academic achievements, and contributions to the mathematical biology field make him a strong contender for the Best Researcher Award. By addressing areas like funding and community engagement, his candidacy could be further strengthened. His innovative approach and dedication to advancing science align perfectly with the award’s objectives, positioning him as an exemplary researcher in his domain.

Publications

  • Effect of hunting cooperation and fear in a predator-prey model
    • Authors: S. Pal, N. Pal, S. Samanta, J. Chattopadhyay
    • Citations: 188
    • Year: 2019
  • Role of fear in a predator–prey model with Beddington–DeAngelis functional response
    • Authors: S. Pal, S. Majhi, S. Mandal, N. Pal
    • Citations: 116
    • Year: 2019
  • Fear effect in prey and hunting cooperation among predators in a Leslie-Gower model
    • Authors: S. Pal, N. Pal, S. Samanta, J. Chattopadhyay
    • Citations: 110
    • Year: 2019
  • Hunting cooperation in a discrete-time predator-prey system
    • Authors: S. Pal, N. Pal, J. Chattopadhyay
    • Citations: 57
    • Year: 2018
  • Impact of fear effect in a discrete-time predator-prey system
    • Authors: K. Kundu, S. Pal, S. Samanta, A. Sen, N. Pal
    • Citations: 33
    • Year: 2018
  • Chaos control in a discrete-time predator-prey model with weak Allee effect
    • Authors: S. Pal, S.K. Sasmal, N. Pal
    • Citations: 26
    • Year: 2018
  • Cooperation delay induced chaos in an ecological system
    • Authors: S. Pal, M. Hossain, P. Panday, N.C. Pati, N. Pal, J. Chattopadhyay
    • Citations: 25
    • Year: 2020
  • A discrete-time model with non-monotonic functional response and strong Allee effect in prey
    • Authors: Z. AlSharawi, S. Pal, N. Pal, J. Chattopadhyay
    • Citations: 20
    • Year: 2020
  • Bifurcations, chaos, and multistability in a nonautonomous predator–prey model with fear
    • Authors: M. Hossain, S. Pal, P.K. Tiwari, N. Pal
    • Citations: 19
    • Year: 2021
  • Bifurcations and multistability in a food chain model with nanoparticles
    • Authors: M. Hossain, N.C. Pati, S. Pal, S. Rana, N. Pal, G.C. Layek
    • Citations: 18
    • Year: 2021
  • Bistability and tristability in a predator-prey model with strong Allee effect in prey
    • Authors: R. Kumbhakar, S. Pal, N. Pal, P.K. Tiwari
    • Citations: 9
    • Year: 2023
  • A mechanistic model for airborne and direct human-to-human transmission of COVID-19
    • Authors: S. Pal, I. Ghosh
    • Citations: 8
    • Year: 2022
  • Impact of fear on searching efficiency of prey: A prey–predator model with weak Allee effect
    • Authors: S.K. Sasmal, S. Pal, N. Pal, Y. Takeuchi
    • Citations: 7
    • Year: 2023
  • Impact of fear and group defense on the dynamics of a predator–prey system
    • Authors: S. Pal, S. Karmakar, S. Pal, N. Pal, A.K. Misra, J. Chattopadhyay
    • Citations: 5
    • Year: 2024
  • Dynamics of a coupled socio-environmental model: An application to global CO2 emissions
    • Authors: S. Pal, I. Ghosh
    • Citations: 5
    • Year: 2023