Raiha Imran | Mathematics | Academic Innovator Young Achiever Award

Published on by Young Scientists Awards

Ms. Raiha Imran | Mathematics | Academic Innovator Young Achiever Award

Ms. Raiha Imran is an accomplished MPhil scholar in Mathematics at Riphah International University, Lahore, Pakistan, with a strong focus on fuzzy set theory and its applications in decision-making and mathematical modeling. Her research explores innovative solutions in the Fuzzy framework, including the development of Bonferroni mean operators for circular intuitionistic fuzzy sets and their applications in multi-criteria group decision-making. Raiha has published multiple high-quality research papers in reputed journals, addressing topics such as interval-valued intuitionistic fuzzy information, neutrosophic hesitant fuzzy aggregation operators, and distance measures for intuitionistic fuzzy hypersoft sets with practical applications like air quality evaluation. She has received 126 citations for her work, with an h-index of 5, reflecting her impactful contributions to the field. Raiha completed her Master’s degree in Mathematics from Riphah International University with a focus on fuzzy set theory and her Bachelor’s degree from Lahore Garrison University, where she also investigated multi-attribute group decision-making under cubic intuitionistic fuzzy soft environments. Her academic foundation is complemented by earlier schooling under the BISE Lahore and Faisalabad boards, achieving excellent grades throughout. Raiha’s research interests encompass generalizations of fuzzy sets, aggregation operators, similarity and distance measures, entropy measures, pattern recognition, cluster analysis, artificial intelligence, neuro computing, and data sciences. She has collaborated internationally with scholars from India, Serbia, Saudi Arabia, and Taiwan. Beyond research, Raiha has experience teaching mathematics and physics at both intermediate and matriculation levels, contributing to educational development. She has earned several certifications, participated in international conferences, and gained skills in data analysis and machine learning, reflecting her commitment to continuous learning. Raiha combines rigorous analytical expertise with a passion for advancing applied mathematics, aiming to develop innovative methodologies and decision-support tools that bridge theoretical research with practical applications, demonstrating dedication, intellectual curiosity, and a proactive approach to academic excellence.

Featured Publications

1. Imran, R., Ullah, K., Ali, Z., & Akram, M. (2024). A multi-criteria group decision-making approach for robot selection using interval-valued intuitionistic fuzzy information and Aczel-Alsina Bonferroni means. Spectrum of Decision Making and Applications, 1(1), 1–32.

2. Saqlain, M., Riaz, M., Imran, R., & Jarad, F. (2023). Distance and similarity measures of intuitionistic fuzzy hypersoft sets with application: Evaluation of air pollution in cities based on air quality index. Journal Name, Volume(Issue), pages.

3. Imran, R., Ullah, K., Ali, Z., & Akram, M. (2024). An approach to multi-attribute decision-making based on single-valued neutrosophic hesitant fuzzy Aczel-Alsina aggregation operator. Neutrosophic Systems with Applications, 22, 43–57.

4. Imran, R., Ullah, K., Ali, Z., Akram, M., & Senapati, T. (2023). The theory of prioritized Muirhead mean operators under the presence of complex single-valued neutrosophic values. Decision Analytics Journal, 7, 100214.

5. Imran, R., & Ullah, K. (2023). Circular intuitionistic fuzzy EDAS approach: A new paradigm for decision-making in the automotive industry sector. Spectrum of Engineering and Management Sciences, 3(1), 76–92

Kabir Oluwatobi Idowu | Mathematics | Young Scientist Award

Published on by Young Scientists Awards

Mr. Kabir Oluwatobi Idowu | Mathematics | Young Scientist Award

Purdue University | United States

Kabir Oluwatobi Idowu is a mathematics researcher and academic with a strong foundation in mathematical modeling, artificial intelligence, stochastic processes, and mathematical biology. He is currently pursuing doctoral studies at a leading research university in the United States. Kabir holds advanced degrees in mathematics, graduating with top honors and multiple academic awards. He has extensive experience in teaching undergraduate and graduate-level mathematics, supervising student research, and developing curricula. His research output includes numerous peer-reviewed publications in areas such as disease modeling, artificial intelligence in education, and numerical solutions to complex equations. Kabir has delivered invited talks at international conferences and actively contributes to academic communities through leadership, peer review, and professional memberships. He is passionate about using mathematics as a tool to solve real-world problems and is committed to academic excellence, interdisciplinary collaboration, and social impact through research, teaching, and community service.

Profile

Orcid 

Education

Kabir Oluwatobi Idowu holds a strong academic background in mathematics and mathematics education. He earned both undergraduate and postgraduate degrees in mathematics with distinction from a prominent university in Nigeria, graduating as the best student in his department at both levels. His outstanding academic performance earned him several awards for academic excellence. Currently, he is pursuing a Ph.D. in Mathematics at a major research university in the United States, where he is also engaged in teaching and research. Kabir’s education has equipped him with a deep understanding of mathematical theory and its practical applications. His coursework and research span various domains including mathematical biology, numerical analysis, and artificial intelligence. His academic training reflects a combination of theoretical rigor and applied problem-solving, preparing him to contribute meaningfully to the advancement of knowledge in mathematics and its interdisciplinary applications.

Experience

Kabir Oluwatobi Idowu has gained extensive academic and research experience across institutions in Nigeria and the United States. He currently serves in both teaching and research roles at a renowned mathematics department, where he assists in delivering courses, mentoring students, and contributing to advanced mathematical research. Previously, he worked as an assistant lecturer and research assistant at a public university in Nigeria, where he taught courses in statistics, stochastic processes, and functional analysis, and supervised student research projects. His work experience also includes curriculum development, data analysis, numerical simulations, and the application of control theory in dynamic systems. Additionally, he has served as a research officer and mathematics instructor in academic institutions, contributing to institutional planning and exam coordination. His teaching and research experience highlight a well-rounded profile marked by technical expertise, instructional innovation, and a deep commitment to student learning and applied mathematics.

Awards and Honors

Kabir Oluwatobi Idowu has been recognized with numerous academic awards for excellence in both undergraduate and graduate studies. He graduated as the best student in his department at both levels, earning institutional honors for academic distinction. He also received a prestigious university-wide award for achieving a perfect grade point average during his postgraduate studies. His academic excellence has earned him competitive assistantship positions for teaching and research at his current institution. Kabir’s scholarly achievements have been further acknowledged through merit-based recognitions from professional organizations and academic departments. These honors underscore his intellectual rigor, dedication to mathematics, and consistent performance across various academic stages. His awards reflect not only his academic capabilities but also his leadership and contributions to the advancement of mathematical knowledge through research and teaching. Kabir continues to uphold academic excellence as a core value in all aspects of his professional journey.

Research Focus

Kabir Oluwatobi Idowu’s research integrates mathematical modeling, artificial intelligence, stochastic analysis, and numerical computation to address real-world challenges in public health, education, and biological systems. His work involves developing and analyzing mathematical models that explain disease dynamics, environmental health interactions, and behavioral trends. He employs a wide range of analytical and computational tools including differential equations, optimization techniques, and hybrid numerical schemes. He is also actively exploring the role of AI and large language models in educational technology and human decision-making. Kabir’s publications demonstrate a strong focus on interdisciplinary applications, including predictive modeling for disease transmission, simulation of public health interventions, and application of machine learning in social systems. His research contributes to theoretical understanding as well as practical solutions. Currently, he is working on advanced stochastic models and numerical algorithms that aim to improve the accuracy and efficiency of simulations used in complex systems.

Publications

Title: Mathematical modelling of pneumonia dynamics of children under the age of five
Year: 2021
Citations: 21

Title: Qualitative analysis of the transmission dynamics and optimal control of COVID-19
Year: 2023
Citations: 18

Title: Semi-analytic approach to solving Rosenau-Hyman and Korteweg-de Vries equations using integral transform
Year: 2023
Citations: 18

Title: Impact of contaminated surfaces on the transmission dynamics of coronavirus disease (COVID-19)
Year: 2023
Citations: 16

Title: On the interaction of the human immune system with foreign body: mathematical modeling approach
Year: 2023
Citations: 15

Title: Laplace Homotopy Perturbation Method (LHPM) for solving systems of N-dimensional non-linear partial differential equation
Year: 2023
Citations: 12

Conclusion

Kabir Oluwatobi Idowu is an exceptionally talented young researcher whose academic brilliance, active publication record, interdisciplinary expertise, and community engagement strongly align with the criteria for the Young Scientist Award. His research journey reflects passion, consistency, and a forward-looking vision. His leadership roles, outreach efforts, and professional memberships further attest to his well-rounded profile. With continued focus on publishing in higher-impact venues, increasing the real-world application of his work, and enhancing global research collaboration, Kabir is poised to make significant contributions to both academic science and societal progress. He is a highly suitable candidate for the Young Scientist Award and exemplifies the qualities of an emerging leader in the scientific community.

Kavikumar Ramasamy | Mathematics | Young Scientist Award

Published on by Young Scientists Awards

Dr. Kavikumar Ramasamy | Mathematics | Young Scientist Award

Assistant Professor at VIT-AP, India 

Dr. Ramasamy Kavikumar is an Assistant Professor Senior Grade-1 at VIT-AP University, Andhra Pradesh, India, with over nine years of research and teaching experience. He holds a Ph.D. in Mathematics from Anna University, specializing in the robust stabilization of Takagi-Sugeno fuzzy systems. His research spans various fields, including fuzzy control systems, event-triggered stabilization, and disturbance rejection strategies, with a focus on nonlinear dynamics and system stability. Dr. Kavikumar has published numerous papers in high-impact journals, such as IEEE Transactions on Fuzzy Systems and the Journal of the Franklin Institute, with significant contributions to fuzzy systems, Markov jumps, and semi-Markovian models. He has received several research grants and awards, including funding from Chungbuk National University, South Korea, and the International Congress on Industrial and Applied Mathematics (ICIAM). His academic achievements and impactful research make him a distinguished scholar in the field of applied mathematics.

Professional Profile 

Education

Dr. Kavikumar Ramasamy has a strong academic background, which began with his Bachelor’s degree in Mathematics from the University of Madras, India. He further advanced his education by earning a Master’s degree in Applied Mathematics from Anna University, India. Building on his expertise, Dr. Kavikumar pursued a Doctoral degree in Mathematics at Anna University, where he focused on the robust stabilization of Takagi-Sugeno fuzzy systems. His research during the Ph.D. program led to several notable contributions in the fields of fuzzy control, nonlinear systems, and event-triggered stabilization. Dr. Kavikumar’s advanced studies provided him with a solid foundation in mathematical theory and its practical applications, leading him to become a recognized academic figure in the field of applied mathematics. His educational journey reflects his commitment to mastering complex mathematical concepts and applying them to solve real-world problems in system dynamics and control theory.

Professional Experience

Dr. Kavikumar Ramasamy has an extensive and distinguished professional experience in the field of applied mathematics and control theory. He began his career as an Assistant Professor in the Department of Mathematics at Anna University, where he contributed to both teaching and research. Over the years, Dr. Kavikumar has held various academic positions, focusing on the application of mathematical principles to real-world systems, particularly in fuzzy control and nonlinear dynamics. He has worked on several research projects related to robust stabilization, event-triggered systems, and the analysis of fuzzy logic systems. His expertise in these areas has led to numerous publications in respected international journals. In addition to his academic roles, Dr. Kavikumar has also collaborated with industry partners, applying his research findings to improve systems in areas like automation and robotics. His professional experience reflects a strong commitment to advancing knowledge in applied mathematics and its interdisciplinary applications.

Research Interest

Dr. Kavikumar Ramasamy’s research interests are primarily focused on applied mathematics, particularly in the areas of control theory, fuzzy logic systems, and nonlinear dynamics. His work delves into the development and analysis of robust stabilization techniques for control systems, aiming to enhance the stability and performance of complex systems. He is also deeply involved in the study of event-triggered control systems, where the timing of control actions is optimized to reduce resource consumption and improve efficiency. Another key aspect of his research is the application of fuzzy logic to systems that involve uncertainty or imprecision, with a focus on designing advanced control algorithms for such systems. Dr. Kavikumar has made significant contributions to understanding the behavior of nonlinear systems and their stabilization through innovative mathematical models. His interdisciplinary research has applications in diverse fields, including automation, robotics, and systems engineering, making a lasting impact on both theory and practice.

Award and Honor

Dr. Kavikumar Ramasamy has received numerous awards and honors in recognition of his significant contributions to the field of applied mathematics and control systems. His academic achievements include prestigious fellowships and grants that have enabled him to conduct groundbreaking research in nonlinear dynamics, control theory, and fuzzy logic systems. He was awarded the Best Research Paper Award at several international conferences, showcasing his expertise in advancing mathematical techniques for complex systems. In addition to academic accolades, Dr. Ramasamy has been recognized for his exceptional teaching and mentoring skills, earning awards for excellence in education and supervision of graduate students. His innovative work in event-triggered control systems and fuzzy logic has earned him a prominent reputation in both academia and industry. These honors highlight his profound impact on mathematical research and its real-world applications, further cementing his standing as a leading expert in his field.

Conclusion

Dr. Kavikumar demonstrates the academic excellence, research productivity, and international recognition that makes him a strong candidate for the Young Scientist Award. His contributions to fuzzy systems, robust control, and applied mathematics are highly impactful, with his work influencing both theoretical advancements and practical applications. With further focus on expanding his interdisciplinary collaborations and public outreach, he has the potential to become a prominent figure in his field, making him well-suited for the award.

Publications Top Noted

  • Fault Estimation for Mode-Dependent IT2 Fuzzy Systems with Quantized Output Signals
    • Authors: R Sakthivel, R Kavikumar, A Mohammadzadeh, OM Kwon, B Kaviarasan
    • Year: 2021
    • Citation: 54
  • Reliable Non-Fragile Memory State Feedback Controller Design for Fuzzy Markov Jump Systems
    • Authors: R Kavikumar, R Sakthivel, OM Kwon, B Kaviarasan
    • Year: 2020
    • Citation: 49
  • Finite-Time Boundedness of Interval Type-2 Fuzzy Systems with Time Delay and Actuator Faults
    • Authors: R Kavikumar, R Sakthivel, OM Kwon, B Kaviarasan
    • Year: 2019
    • Citation: 45
  • Non-Fragile Control Design for Interval-Valued Fuzzy Systems Against Nonlinear Actuator Faults
    • Authors: R Kavikumar, R Sakthivel, B Kaviarasan, OM Kwon, SM Anthoni
    • Year: 2019
    • Citation: 44
  • Robust Tracking Control for Fuzzy Markovian Jump Systems with Time-Varying Delay and Disturbances
    • Authors: R Sakthivel, S Harshavarthini, R Kavikumar, YK Ma
    • Year: 2018
    • Citation: 36
  • Sliding Mode Control for IT2 Fuzzy Semi-Markov Systems with Faults and Disturbances
    • Authors: R Kavikumar, OM Kwon, R Sakthivel, SH Lee, SG Choi, S Priyanka
    • Year: 2022
    • Citation: 29
  • Design of H∞-Based Sampled-Data Control for Fuzzy Markov Jump Systems with Stochastic Sampling
    • Authors: R Kavikumar, R Sakthivel, Y Liu
    • Year: 2021
    • Citation: 25
  • Input-Output Finite-Time IT2 Fuzzy Dynamic Sliding Mode Control for Fractional-Order Nonlinear Systems
    • Authors: R Kavikumar, OM Kwon, SH Lee, R Sakthivel
    • Year: 2022
    • Citation: 22
  • Event-Triggered Input-Output Finite-Time Stabilization for IT2 Fuzzy Systems Under Deception Attacks
    • Authors: R Kavikumar, OM Kwon, SH Lee, S Lee, R Sakthivel
    • Year: 2023
    • Citation: 21
  • Robust Tracking Control Design for Fractional-Order Interval Type-2 Fuzzy Systems
    • Authors: R Kavikumar, R Sakthivel, OM Kwon, P Selvaraj
    • Year: 2022
    • Citation: 18
  • Observer-Based Repetitive Control for Fractional-Order Interval Type-2 TS Fuzzy Systems
    • Authors: R Sakthivel, R Kavikumar, YK Ma, Y Ren, SM Anthoni
    • Year: 2018
    • Citation: 17
  • Faulty Actuator-Based Control Synthesis for Interval Type-2 Fuzzy Systems via Memory State Feedback Approach
    • Authors: R Kavikumar, R Sakthivel, OM Kwon, B Kaviarasan
    • Year: 2020
    • Citation: 16
  • Robust Model Reference Tracking Control for Interval Type-2 Fuzzy Stochastic Systems
    • Authors: R Kavikumar, R Sakthivel, O Kwon, K Boomipalagan
    • Year: 2020
    • Citation: 15
  • Anti-Disturbance Control Design for Interval Type-2 Fuzzy Stochastic Systems With Input Quantization
    • Authors: R Kavikumar, OM Kwon, B Kaviarasan, R Sakthivel
    • Year: 2023
    • Citation: 10
  • Design of Uncertainty and Disturbance Estimator-Based Tracking Control for Fuzzy Switched Systems
    • Authors: R Sakthivel, S Harshavarthini, DJ Almakhles, R Kavikumar
    • Year: 2021
    • Citation: 6

KAVIARASAN BOOMIPALAGAN | Mathematics | Young Scientist Award

Published on by Young Scientists Awards

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.