Dr. T Raja Rani is a distinguished researcher and academician with extensive contributions to mathematics, artificial intelligence, IoT, and biomedical engineering. With 65 research papers, a book published by Taylor & Francis (CRC Press, UK), and multiple international award presentations, she has established herself as a leader in her field. She has served as a reviewer and editorial board member for reputed journals and has supervised PhD scholars and student research projects. As the Principal Investigator for government-funded projects from the Ministry of Higher Education and Ministry of Defence, she has led innovative studies in AI-driven healthcare and smart automation. She has also held key academic roles, contributing to institutional research development. Recognized for her interdisciplinary expertise and global collaborations, Dr. Raja Rani is a strong candidate for the Best Researcher Award, with future potential in high-impact publications, industry partnerships, and international research funding.
Professional Profile
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Education
Dr. T Raja Rani holds a strong academic background in mathematics and computational sciences, equipping her with expertise in applied mathematics, artificial intelligence, and IoT-based systems. She earned her degrees from prestigious institutions, specializing in differential equations, machine learning applications, and biomedical engineering research. Her academic journey has been marked by a passion for interdisciplinary research, combining theoretical and practical knowledge to address complex real-world challenges. With a commitment to continuous learning, she has also actively participated in professional development programs, workshops, and research collaborations to enhance her expertise. Her educational foundation has played a crucial role in shaping her research contributions, enabling her to publish high-quality journal articles, lead innovative projects, and mentor students in advanced research fields. Dr. Raja Rani’s dedication to academia and research has made her a respected scholar in her domain, contributing significantly to advancements in mathematical modeling, AI, and IoT applications.
Professional Experience
Dr. T Raja Rani has an extensive academic and research career spanning over two decades in reputed institutions across India and Oman. She has served as a lecturer, associate professor, and research coordinator, contributing to curriculum development, student mentorship, and institutional research initiatives. She worked at Military Technological College, Higher College of Technology, and Ibri College of Technology in Oman, where she played a pivotal role in mathematics program coordination, research development, and quality assurance. She has also contributed as an interview panelist for academic recruitment and has mentored several undergraduate and PhD scholars in AI-driven biomedical and IoT projects. In addition, she has actively participated in international awards, journal editorial boards, and funded research projects. Her career is marked by a dedication to bridging the gap between theoretical research and practical applications, making her an invaluable contributor to academia and industry collaborations.
Research Interest
Dr. T Raja Rani’s research interests lie at the intersection of applied mathematics, artificial intelligence, IoT, and biomedical engineering. She specializes in differential equations, machine learning algorithms, and computational modeling, applying these techniques to solve real-world problems in healthcare, automation, and smart city infrastructure. Her work explores AI-driven predictive analytics for medical diagnosis, IoT-based automation systems, and mathematical simulations for engineering applications. She has led multiple interdisciplinary projects, including the development of IoT-based home automation, hydroponic farming solutions, and AI models for cardiovascular disease prediction. Her passion for cutting-edge research is reflected in her numerous publications, book authorship, and government-funded projects. By integrating AI and mathematics, she aims to develop smart, efficient, and sustainable solutions for various industries. Moving forward, she seeks to expand her research into high-impact AI applications, industry collaborations, and global research partnerships to further drive technological innovation.
Awards and Honors
Dr. T Raja Rani has received significant recognition for her research contributions, academic leadership, and interdisciplinary expertise. She has authored 65+ research papers in reputed international journals and awards, securing funded projects from the Ministry of Higher Education and Ministry of Defence in Oman. Her book publication with Taylor & Francis (CRC Press, UK) highlights her expertise in differential equations and computational analysis. As a reviewer and editorial board member for international journals, she has played a key role in shaping academic research in her field. Her award presentations, including at WCE-2014 in London, have established her as a global researcher. Her work in IoT, AI-driven healthcare solutions, and mathematical modeling has positioned her as a leading scholar. These achievements make her a deserving candidate for prestigious research awards and further opportunities in high-impact global collaborations and research funding.
Conclusion
Dr. T Raja Rani is an accomplished researcher and academician, with a career dedicated to mathematical modeling, AI, and IoT applications. With extensive research contributions, government-funded projects, and academic leadership, she has significantly advanced interdisciplinary research. Her expertise spans machine learning, biomedical applications, and automation technologies, leading to impactful innovations in healthcare, engineering, and smart infrastructure. She has also been a mentor, reviewer, and institutional research coordinator, fostering academic excellence. Moving forward, she aims to strengthen industry collaborations, high-impact journal publications, and international research funding to further elevate her contributions. With her proven track record, Dr. Raja Rani is a strong candidate for the Best Researcher Award, and her work will continue to shape advancements in AI-driven research and technological innovation.
Publications Top Noted
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Title: ML-based Approach to Predict Carotid Arterial Blood Flow Dynamics
Authors: TR Rani, A Al Shibli, M Siraj, W Srimal, NZS Al Bakri, TSL Radhika
Year: 2009
Citations: 2
Source: Contemporary Mathematics
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Title: Approximate Analytical Methods for Solving Ordinary Differential Equations
Authors: TSL Radhika, TKV Iyengar, TR Rani
Year: 2014
Citations: 25
Source: CRC Press
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Title: Econophysics and Fractional Calculus: Einstein’s Evolution Equation, the Fractal Market Hypothesis, Trend Analysis, and Future Price Prediction
Authors: J Blackledge, D Kearney, M Lamphiere, R Rani, P Walsh
Year: 2019
Citations: 15
Source: Mathematics, 7 (11), 1057
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Title: Effect of Radiation and Magnetic Field on Mixed Convection at a Vertical Plate in a Porous Medium with Variable Fluid Properties and Varying Wall Temperature
Authors: TR Rani, CNB Rao, VL Prasannam
Year: 2010
Citations: 6
Source: Proceedings of the International Multiaward of Engineers and Computer Science
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Title: The Effects of Viscous Dissipation on Convection in a Porous Medium
Authors: TR Rani, TSL Radhika, JM Blackledge
Year: 2017
Citations: 5
Source: Mathematica Aeterna, 7 (2), 131-145
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Title: MHD Free Convective Heat Transfer Flow Past a Vertical Plate Embedded in a Porous Medium with Effects of Variable Fluid Properties in the Presence of Heat Source
Authors: TR Rani, R Palli
Year: 2014
Citations: 4
Source: Proceedings of the World Congress on Engineering
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Title: Measuring Software Design Class Metrics: A Tool Approach
Authors: T Rani, M Sanyal, S Garg
Year: 2012
Citations: 4
Source: International Journal of Engineering Research & Technology (IJERT)
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Title: Free Convection in a Porous Medium with Magnetic Field
Authors: V Lakshmi Prasannam, T Raja Rani, R CNB
Year: 2009
Citations: 4
Source: International Journal of Computational Mathematical Ideas
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Title: Quantile Loss Function Empowered Machine Learning Models for Predicting Carotid Arterial Blood Flow Characteristics
Authors: TR Rani, W Srimal, A Al Shibli, NZS Al Bakri, M Siraj, TSL Radhika
Year: 2023
Citations: 3
Source: WSEAS Transactions on Biology and Biomedicine
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Title: On a Study of Flow Past Non-Newtonian Fluid Bubbles
Authors: TSL Radhika, TR Rani
Year: 2021
Citations: 3
Source: WSEAS Transactions on Fluid Mechanics
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Title: Creeping Flow of a Viscous Fluid Past a Pair of Porous Separated Spheres
Authors: TSL Radhika, T Raja Rani, D Dwivedi
Year: 2020
Citations: 3
Source: BPAS Publications, 39 (1), 58-76
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Title: Stochastic Modelling for Lévy Distributed Systems
Authors: J Blackledge, TR Rani
Year: 2017
Citations: 3
Source: Technological University Dublin
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Title: Time-Dependent Flow of a Couple Stress Fluid in an Elastic Circular Cylinder with Application to the Human Circulatory System
Authors: TSL Radhika, TR Rani, A Karthik
Year: 2020
Citations: 2
Source: Academic Journal of Applied Mathematical Sciences, 6 (7), 126-135
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Title: Comparison of HAM and Numerical Solutions for a Free Convection Problem with Variable Fluid Properties, Heat Source/Sink, and Radiation
Authors: T Raja Rani, TSL Radhika, R Palli
Year: 2016
Citations: 2
Source: Journal of Information and Optimization Sciences, 37 (3), 405-422
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Title: An Application of HAM for MHD Heat Source Problem with Variable Fluid Properties
Authors: TR Rani, TSL Radhika, R Palli
Year: 2014
Citations: 2
Source: Advances in Theoretical and Applied Mechanics, 7 (2), 79-89
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Title: Mixed Convection in a Porous Medium with Magnetic Field, Variable Viscosity, and Varying Wall Temperature
Authors: CNB Rao, VL Prasannam, T Raja Rani
Year: 2010
Citations: 2
Source: International Journal of Computational Mathematical Ideas, 2 (1), 13-21
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Title: Shor’s Algorithm – How Does It Work on Perfect Squares
Authors: TSL Radhika
Year: 2024
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Title: Enhancing Crude Oil Pipeline Design Efficiency Through Explainable AI: A COMSOL Simulation Approach
Authors: BJ Jose, P Jain, TR Rani
Year: 2025
Source: Innovative and Intelligent Digital Technologies