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 Teachers’ 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. Braimah’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 Teachers’ 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), 1–12. https://doi.org/10.1155/jpas/5562074

Prabakaran Raghavendran | Differential Equations | Young Scientist Award

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Mr. Prabakaran Raghavendran | Differential Equations |Young Scientist Award

Research Scholar | Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology , India

Prabakaran Raghavendran is a Ph.D. scholar in Mathematics at Vel Tech R&D Institute, specializing in Fractional Differential Equations and Control Theory, with 33 research publications, 12 patent publications, and diverse interdisciplinary research internships in AI, neuroscience, and energy forecasting.

Profile

Scopus

Orcid

Scholar

🎓 Education 

He is currently pursuing a Ph.D. in Mathematics from Vel Tech R&D Institute; completed his M.Sc. Mathematics with 9.79 CGPA from the same institute in 2022; earned a B.Sc. in Mathematics with 9.25 CGPA from Loyola College, Chennai, in 2020; passed Class XII in 2017 with 87.5% and Class X in 2015 with 94% from Velammal Matriculation School.

💼 Experience 

He interned as a software engineer at CGI Infosys, a Python and LaTeX trainee at Loyola College, and in Finance & Accounts at Falcon Enterprises; participated in two major research internships involving AI in neuroscience and energy forecasting; also conducted academic research on fuzzy algebra and COVID-19 employment effects.

🏅 Awards and Honors 

Recipient of the Young Scientist Award 2025, Young Researcher Award 2024, and two cash awards from Vel Tech University for patent excellence; awarded Rank 1 in SRASS 2025; life member of ISFSEA, IOASD, and IAENG; presented at ICMMAAC-24 in Lebanon with international recognition.

🔬 Research Focus 

His core research lies in Fractional Differential Equations, Control Theory (linear, nonlinear, stochastic, fuzzy), Integral Transforms, Cryptography, Fuzzy Algebra, and AI applications, with practical emphasis on solving boundary value problems, signal processing, robotics, and real-world optimization challenges.

📝 Conclusion

Prabakaran Raghavendran has shown exceptional promise as a researcher, with outstanding academic performance and a rich research portfolio that includes a variety of innovative patents. His interdisciplinary approach, along with his accolades such as the Young Scientist Award and Best Paper Presentation Award, clearly position him as a strong candidate for future awards and recognition in the scientific community. By expanding his research collaboration and focusing on the real-world applications of his work, he has the potential to make significant contributions to both academic and applied sciences.

Publication

    • Title: Analyzing existence, uniqueness, and stability of neutral fractional Volterra-Fredholm integro-differential equations
      Year: 2024
      Authors: T. Gunasekar, P. Raghavendran, S.S. Santra, M. Sajid

    • Title: Solving fractional integro-differential equations by Aboodh transform
      Year: 2024
      Authors: P. Raghavendran, T. Gunasekar, H. Balasundaram, S.S. Santra

    • Title: Application of Laplace transform to solve fractional integro-differential equations
      Year: 2024
      Authors: B.H. Gunasekar T., Raghavendran P., Santra Sh. S., Majumder D., Baleanu D.

    • Title: Advancing Cryptographic Security With Kushare Transform Integration
      Year: 2024
      Authors: R. Prabakaran, T. Gunasekar

    • Title: Applications of the R-Transform for Advancing Cryptographic Security
      Year: 2024
      Authors: T. Gunasekar, P. Raghavendran

    • Title: The Mohand transform approach to fractional integro-differential equations
      Year: 2024
      Authors: T. Gunasekar, P. Raghavendran

    • Title: Existence and controllability results for neutral fractional Volterra-Fredholm integro-differential equations
      Year: 2024
      Authors: T. Gunasekar, P. Raghavendran, S.S. Santra, M. Sajid

    • Title: Study of non-linear impulsive neutral fuzzy delay differential equations with non-local conditions
      Year: 2023
      Authors: T. Gunasekar, J. Thiravidarani, M. Mahdal, P. Raghavendran, A. Venkatesan

    • Title: Application of artificial neural networks for existence and controllability in impulsive fractional Volterra-Fredholm integro-differential equations
      Year: 2024
      Authors: P. Raghavendran, T. Gunasekar, S. Gochhait

 

Kavikumar Ramasamy | Mathematics | Young Scientist Award

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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