María Andrea Arias Serna | Applied Mathematics | Best Researcher Award

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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

Google Scholar

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

KAVIARASAN BOOMIPALAGAN | Mathematics | Young Scientist Award

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Assist. Prof. Dr. KAVIARASAN BOOMIPALAGAN | Mathematics | Young Scientist Award

Assistant Professor At KL Deemed to be University,India

Dr. Kaviarasan Boomipalan is an exceptional young researcher with an impressive academic background, outstanding research output, and significant recognition in the field of control theory and mathematics. His work on multi-agent systems and time-delay systems has contributed to significant advancements in these areas. His extensive postdoctoral experience and contributions to the academic community as a reviewer and editor highlight his dedication and expertise.

Profile

Scopus

🎓 Education

User holds a Doctor of Philosophy (Ph.D.) in Control Theory, Mathematics from Anna University, Chennai, India, which they completed in 2018. Their thesis was titled “Studies on Consensus Analysis of Multi-Agent Systems with Time-Varying Delay.” They also earned a Master of Philosophy (M.Phil.) in Mathematics from Bharathiar University, Coimbatore, India, in 2014, and a Master of Science (M.Sc.) in Mathematics from the same institution in 2012, where they graduated with a percentage of 81.67%. Their Bachelor of Science (B.Sc.) in Mathematics was completed at Vivekananda College, Madurai Kamaraj University, Madurai, India, in 2010, where they achieved a percentage of 91.44%.

💼 Experience 

User has accumulated a total of 6 years of teaching and research experience after completing their Ph.D. They are currently serving as an Assistant Professor in the Department of Mathematics at Koneru Lakshmaiah Education Foundation (Deemed to be University), Andhra Pradesh, India, since July 2024. Prior to this, they held several postdoctoral research positions at Chungbuk National University, South Korea, from 2018 to 2024, including roles under the Brain Korea 21 Program and at the Research Institute of Green Energy.

🏆 Awards and Honors 

User has been ranked among the top 2% of scientists in the world by Elsevier and Stanford University in 2021 and 2024, specifically in the fields of Engineering and Industrial Engineering & Automation. They are a life member of the Indian Mathematical Society (IMS) and the Indian Society of Industrial and Applied Mathematics (ICIAM). They are also a member of the Institution of Engineering and Technology (IET), the Internet Society (ISOC), and the International Association of Engineers (IAENG).

🔬 Research Focus

User has received several prestigious research grants, including ICIAM grants for attending international congresses, as well as awards for their outstanding research contributions from Chungbuk National University.

🏆Conclusion 

Dr. Kaviarasan is undoubtedly a strong candidate for the Research for Young Scientist Award. His research productivity, international recognition, and contributions to both academia and the scientific community are noteworthy. Focusing on expanding the application of his work and further mentoring young scientists could make him an even more influential figure in his field.

Publication:

  • “Polynomial inequality-based consensus pinning control approach to time-delayed second-order multi-agent systems via betweenness centrality”
    • Authors: Lee, Y.-G., Kaviarasan, B., Park, M.-J., Kwon, O.-M.
    • Published: 2025, Communications in Nonlinear Science and Numerical Simulation
    • Focus: This paper discusses a consensus pinning control approach that utilizes polynomial inequalities to address time-delayed second-order multi-agent systems, incorporating betweenness centrality for better efficiency in achieving consensus.

 

  • “Distributed Bipartite Consensus of Multi-Agent Systems via Disturbance Rejection Control Strategy”
    • Authors: Manickavalli, S., Parivallal, A., Kavikumar, R., Kaviarasan, B.
    • Published: 2024, Mathematics
    • Focus: A disturbance rejection control strategy for achieving distributed bipartite consensus in multi-agent systems. This method improves the stability and performance of the system under disturbances.

 

  • “Imperfect premise matching finite-time filter design for continuous-time Takagi–Sugeno fuzzy systems”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Sakthivel, R.
    • Published: 2024, Journal of the Franklin Institute
    • Focus: This work presents a finite-time filter design approach for continuous-time Takagi–Sugeno fuzzy systems with imperfect premise matching.

 

  • “Dissipative Constraint-Based Saturation Control for Fuzzy Markov Jump Systems Within a Finite-Time Interval”
    • Authors: Kavikumar, R., Kaviarasan, B., Kwon, O.-M., Sakthivel, R.
    • Published: 2024, International Journal of Fuzzy Systems
    • Focus: The paper focuses on a dissipative constraint-based saturation control approach for fuzzy Markov jump systems, ensuring stability within a finite-time interval.

 

  • “A delay-product-type Lyapunov functional approach for enhanced synchronization of chaotic Lur’e systems using a quantized controller”
    • Authors: Kaviarasan, B., Kavikumar, R., Kwon, O.-M., Sakthivel, R.
    • Published: 2024, AIMS Mathematics
    • Focus: This study uses a delay-product-type Lyapunov functional approach to improve the synchronization of chaotic Lur’e systems using quantized controllers.

 

  • “Stabilization of Periodic Piecewise Time-Varying Systems with Time-Varying Delay under Multiple Cyber Attacks: An Augmented Lyapunov Functional Approach”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Sakthivel, R.
    • Published: 2024, IEEE Transactions on Cybernetics
    • Focus: This paper addresses the stabilization of periodic piecewise time-varying systems with time-varying delays in the presence of multiple cyber attacks.

 

  • “Event-triggered finite-time admissibilization of bio-economic singular semi-Markovian jump fuzzy systems”
    • Authors: Kavikumar, R., Kaviarasan, B., Kwon, O.-M., Sakthivel, R.
    • Published: 2023, Journal of the Franklin Institute
    • Focus: This paper explores the event-triggered finite-time admissibilization of bio-economic singular semi-Markovian jump fuzzy systems.

 

  • “Combined H∞ and anti-disturbance control for semi-Markovian jump systems via a nonlinear disturbance observer”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Lee, S., Sakthivel, R.
    • Published: 2023, International Journal of Robust and Nonlinear Control
    • Focus: The paper combines H∞ and anti-disturbance control strategies for semi-Markovian jump systems, leveraging a nonlinear disturbance observer to enhance performance.

 

  • “Antidisturbance Control Design for Interval Type-2 Fuzzy Stochastic Systems With Input Quantization”
    • Authors: Kavikumar, R., Kwon, O.-M., Kaviarasan, B., Sakthivel, R.
    • Published: 2023, IEEE Transactions on Fuzzy Systems
    • Focus: The authors present antidisturbance control design techniques for interval type-2 fuzzy stochastic systems with input quantization, addressing system stability and robustness.

 

  • “Reduced-order filtering for semi-Markovian jump systems against randomly occurring false data injection attacks”
    • Authors: Kaviarasan, B., Kwon, O.-M., Park, M.J., Sakthivel, R.
    • Published: 2023, Applied Mathematics and Computation
    • Focus: This article discusses reduced-order filtering techniques for semi-Markovian jump systems to protect against false data injection attacks.

 

Getachew Tilahun | Applied Mathematics | Best Researcher Award

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Getachew Tilahun|Applied Mathematics | Best Researcher Award

👨‍🏫Getachew Tilahun,  Dr at University of Haramaya University Ethiopia, stands as a distinguished Academician/Research Scholar in the domain of Mathematics. Holding a Ph.D. in Mathematics Pan African University and Jemo Kenyatta University of Agriculture and Technology, Kenya, their professional journey exemplifies dedication and expertise. 📚

🌐 Professional Profiles:

Educational Background 🎓

Ph.D. in Mathematics (Computational Option) Pan African University and Jomo Kenyatta University of Agriculture and Technology, Kenya. MSc in Mathematics (Numerical Analysis) Haramaya University, Ethiopia Postgraduate Diploma in Teaching Methodology Haramaya University, Ethiopia. BEd (Major Mathematics, Minor Physics) Bahir Dar University, Ethiopia.

Professional Summary👨‍🏫

Teaching Expertise: Proficient in teaching mathematics to students across various academic levels, from undergraduates to Ph.D. candidates. Taught a broad spectrum of courses, including Calculus, Differential Equations, Numerical Analysis, and Advanced Algebra.  Simulation & Validation: Skilled in developing numerical simulation methods using Python and Matlab. Proficient in fitting models to existing data for validation purposes, utilizing the R programming language. Ongoing Research: Currently involved in the development of spatial models for infectious diseases, particularly concentrating on agent-based modeling. Emphasizing within-host pathogen dynamics and employing Environmental Factor, Agent-based Model, and Geospatial Modeling Dynamics. Leadership & Grants: Led various local and international research projects, securing multiple research grants. Demonstrated strong leadership abilities as a Research Program Coordinator, Head of Department in Mathematics, and Director of the Freshman Program Directorate at Haramaya University.

Research Focus🦠

Published numerous research articles specializing in mathematical models for a diverse range of infectious diseases, such as HIV-AIDS, malaria, rabies, rubella, COVID-19, hepatitis B, TB, cholera, measles, meningitis, pneumonia, and typhoid fever. Developed cost-effective strategies for disease control.Actively engaged in modeling various infectious diseases, including seasonal, air-borne, water-borne, vector-borne, and eco-epidemiological diseases. Also exploring within-host pathogen dynamics using sophisticated modeling techniques.

Scholarship Awards 🏅

Pan African University Ph.D. in Mathematics Scholarship, Kenya, 2015, African Institute of Mathematics, Cameroon, 2014.

Research Grant Awards 💡

Various research grants focusing on disease modeling and analysis, traffic flow, and study skills in mathematics for high school students in Ethiopia.

Management and Leadership 🌟

Research Program Coordinator in 2012 Head of Department of Mathematics from 2013-2015 Director, Freshman Program Directorate, Haramaya University, from 2019 to present

Statement of Research Interest 🧬

Currently focusing on modeling various infectious diseases including seasonal, air-borne, water-borne, vector-borne, and eco-epidemiological diseases. Also delving into within-host dynamics of different pathogens using environmental factors, agent-based models, and geospatial modeling dynamics.

 

Top Noted Publications 📚:

Modelling and optimal control of typhoid fever disease with cost-effective strategies Paper Published in 2017 Cited by 106

Co-dynamics of pneumonia and typhoid fever diseases with cost effective optimal control analysis Paper Published in 2018 Cited by 71

Modeling co-dynamics of pneumonia and meningitis diseases Paper Published in 2019 Cited by 35

Stochastic model of measles transmission dynamics with double dose vaccination Paper Published in 2020 Cited by 27

Stochastic and deterministic mathematical model of cholera disease dynamics with direct transmission Paper Published in 2020 Cited by 12

A fractional order model for the transmission dynamics of hepatitis B virus with two-age structure in the presence of vaccination Paper Published in 2021 Cited by 11

Modeling the dynamics of tuberculosis with drug resistance in North Shoa Zone, Oromiya Regional State, Ethiopia Paper Published in 2021 Cited by 9

Eco-epidemiological model and analysis of potato leaf roll virus using fractional differential equation Paper Published in 2021 Cited by 3

Modeling the dynamics of rubella disease with vertical transmission Paper Published in 2022 Cited by 1

Within-host mathematical model of malaria parasite with cell-mediated and antibody-mediated immune systems Paper Published in 2023