Joseph Odunayo Braimah | Mathematics | Young Scientist Award

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Dr. Joseph Odunayo Braimah | Mathematics
| Young Scientist Award

Ambrose Alli University, Ekpoma, Nigeria | Nigeria

Dr. Joseph Odunayo Braimah is a Nigerian statistician and academic whose expertise spans industrial statistics, reliability engineering, acceptance sampling, biostatistics, and applied statistical modelling. He holds a Ph.D. in Statistics from the University of Ilorin, Nigeria, where his doctoral research focused on evaluating the performance of truncated sampling plans. He also earned an M.Sc. and B.Sc. in Statistics from the same institution, along with a Postgraduate Diploma in Education from the National Teachersā€™ Institute, Kaduna. He currently serves as a Lecturer I in the Department of Mathematics and Statistics at Ambrose Alli University, Ekpoma, Nigeria. In 2024, he completed a competitive Postdoctoral Research Fellowship at the University of the Free State, South Africa, within the Department of Mathematical Statistics and Actuarial Sciences. His earlier academic roles at Al-Hikmah University and AROIF College of Advanced Studies reflect his strong contributions to teaching, curriculum development, and student mentorship. Dr. Braimahā€™s research covers statistical quality control, time-to-event modelling, medical statistics, epidemiology, time series analysis, and probability distributions. He has authored over 70 Scopus-indexed publications in reputable international journals and has collaborated extensively with scholars across Africa, including South Africa and Zimbabwe. His work advances understanding in public health analytics, product reliability, epidemic monitoring, and industrial process optimization. He has also developed multiple new probability distributions and innovative acceptance sampling schemes that support decision-making in quality management and risk assessment. His current project, the National Road Traffic Crash Risk Index (NRTCRi), employs spatial and multiscale statistical modelling to assess and predict road-traffic crash risks across Nigeria, contributing to improved national safety policies. He also holds the Google Data Analytics Professional Certificate and is a registered member of the Teachersā€™ Registration Council of Nigeria.

Featured Publications

Braimah, J. O., Sule, I., Bello, O. A., & Correa, F. M. (2025). A new modified extended generalized inverted exponential (NMEGIEx) distribution: A distribution for flexible and accurate data analysis. Contemporary Mathematics, 6. https://doi.org/10.37256/cm.6620257771

Braimah, J. O., & Correa, F. M. (2025). Reliability assessment of products with Weibull lifetimes: A two-sided linked lots deferred sampling plan (T-SLLDSP). Scientific African. https://doi.org/10.1016/j.sciaf.2025.e03039

Omaku, P. E., Braimah, J. O., & Correa, F. M. (2025). Bayesian accelerated failure time model for zero-inflated survival data with application to liver cirrhosis. Journal of Probability and Statistics, (Wiley), 1ā€“12. https://doi.org/10.1155/jpas/5562074

Hemalatha K | Mathematics | Best Researcher Award

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Dr. Hemalatha K | Mathematics
| Best Researcher Award

Chennai Institute of Technology, Chennai | India

Dr. Hemalatha K is an accomplished mathematician and researcher specializing in theoretical seismology and wave propagation, currently serving as an Assistant Professor at the Center for Nonlinear Systems, Chennai Institute of Science and Technology, Tamil Nadu, India, since February 2025. She earned her Ph.D. in Mathematics (2024) from SRM Institute of Science and Technology, Chennai, with her thesis titled ā€œTheoretical Study of Elastic Wave Propagation in Anisotropic and Functionally Graded Layered Media.ā€ Her academic foundation includes an M.Sc. in Mathematics with outstanding distinction from Bishop Heber College, Trichy and a B.Sc. in Mathematics from Holy Cross College, Trichy. With over three years of research experience, Dr. Hemalatha has made significant contributions to the field through 17 peer-reviewed international journal publications, achieving a cumulative impact factor. Her recent research includes advanced studies on flexoelectric coupling, interfacial imperfections, and wave behavior in functionally graded and piezoflexoelectric materials, published in reputed Q1ā€“Q3 indexed journals such as Mathematics (MDPI) and Journal of Mechanical Science and Technology (Springer). She holds professional identifiers including ORCID (0000-0002-9355-5747) reflecting her growing international academic recognition.

Profile: Google Scholar | Orcid

Featured Publication

1. Hemalatha, K., Kumar, S., & Prakash, D. (2023). Dispersion of Rayleigh wave in a functionally graded piezoelectric layer over elastic substrate. Forces in Mechanics, 10, 100171. https://doi.org/10.1016/j.finmec.2023.100171

2. Hemalatha, K., Kumar, S., & Kim, I. (2024). Study of SH-wave in a pre-stressed anisotropic magnetoelastic layer sandwich by heterogeneous semi-infinite media. Mathematics and Computers in Simulation, 222, 225ā€“241. https://doi.org/10.1016/j.matcom.2024.01.015

3. Hemalatha, K., Kumar, S., & Akshaya, A. (2023). Rayleigh wave at imperfectly corrugated interface in FGPM structure. Coupled Systems Mechanics, 12(4), 337ā€“364. https://doi.org/10.12989/csm.2023.12.4.337

4. Akshaya, A., Kumar, S., & Hemalatha, K. (2024). Behaviour of transverse wave at an imperfectly corrugated interface of a functionally graded structure. Physics of Wave Phenomena, 32(2), 117ā€“134. https://doi.org/10.3103/S1541308X24020023

5. Hemalatha, K., & Kumar, S. (2024). Propagation of SH wave in a rotating functionally graded magneto-electro-elastic structure with imperfect interface. Journal of Vibration Engineering & Technologies, 12(7), 8383ā€“8397. https://doi.org/10.1007/s42417-024-01007-5

6. Akshaya, A., Kumar, S., & Hemalatha, K. (2025). Propagation of shear horizontal wave at magneto-electro-elastic structure subjected to mechanically imperfect interface. Mechanics of Advanced Composite Structures, 12(1), 97ā€“114. https://doi.org/10.22075/macs.2025.32784.1550

 

Kavikumar Ramasamy | Mathematics | Young Scientist Award

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Dr. Kavikumar Ramasamy | Mathematics | Young Scientist Award

Assistant Professor at VIT-AP, IndiaĀ 

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 ProfileĀ 

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. Kavikumarā€™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 Hāˆž-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

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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

šŸŽ“ 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%.

šŸ’¼ ExperienceĀ 

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.

šŸ† Awards and HonorsĀ 

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).

šŸ”¬ 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.

šŸ†ConclusionĀ 

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 Takagiā€“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 Takagiā€“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 Lurā€™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 Lurā€™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 Hāˆž 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 Hāˆž 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.