Sarishti Singh | Mathematics | Best Researcher Award

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Dr. Sarishti Singh | Mathematics | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Dr. Sarishti Singh is a researcher in Mathematics at the Indian Institute of Technology Kharagpur, specializing in interval analysis and matrix theory. Her work focuses on understanding uncertainty in real-world computational models by developing analytical tools for interval matrices, generalized eigenvalue problems, singular value decomposition enclosures, and sensitivity behavior in portfolio optimization models. She has contributed to several international, peer-reviewed journals in applied mathematics and computational sciences, with her research gaining a steady academic impact. According to Google Scholar, she has 14 citations, an h-index of 2, and 2 indexed documents, reflecting growing recognition in her research domain. She completed her Bachelor’s and Master’s degrees in Mathematics from Panjab University before pursuing a doctoral research program at IIT Kharagpur under experienced academic guidance. During her doctoral period, she served as a Teaching Assistant and gained experience mentoring students in mathematics coursework. She has also been awarded prestigious competitive national fellowships supporting her research progress. Additionally, she has presented her findings at international conferences and contributes to scholarly reviewing activities. Her ongoing work continues to extend interval analytical techniques to optimization and linear algebraic systems, aiming to support more robust computational modeling and decision-making under uncertainty.

Profile: Google Scholar

Featured Publications

Singh, S., & Panda, G. (2023). Generalized eigenvalue problem for interval matrices. Archiv der Mathematik, 121(3), 267–278.

Singh, S., & Panda, G. (2024). SVD enclosure of a class of interval matrices. Information Sciences, 666, 120386.

Singh, S., & Panda, G. (2025). Eigenvalue bounds and Perron-Frobenius theory for nonnegative or positive interval matrices. Applied Mathematics and Computation, 495, 129329.

Singh, S., & Panda, G. (2025). Bounding the solution set of overdetermined system of interval linear equations. Bulletin of the Iranian Mathematical Society, 51(2), 23.

Singh, S., & Panda, G. (2025). On the sensitivity of some portfolio optimization models using interval analysis. OPSEARCH, 62(1), 77–103.

Dilbag Singh | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Dilbag Singh | Mathematics | Best Researcher Award

Panjab University | India

Dr. Dilbag Singh Kahlon is an accomplished academic and researcher in the field of mathematics, currently serving as an Assistant Professor at Panjab University, Chandigarh. With a strong foundation in applied mathematics, his work primarily focuses on wave propagation, elasticity, and ultrasonic methods for structural health monitoring. He has been actively involved in international research collaborations and has contributed extensively to scholarly literature. His academic journey and global research exposure have positioned him as a recognized expert in mathematical modeling related to nondestructive evaluation, earning respect in both academic and research communities.

Professional Profile

Google Scholar

Education

Dr. Kahlon pursued his education in mathematics from Panjab University, where he completed his undergraduate and postgraduate studies with honors. He later earned his doctorate in mathematics, focusing on dynamical problems in micropolar elasticity. His academic training has been deeply rooted in mathematical theories and their applications, particularly in wave mechanics. Throughout his educational journey, he was supported by prestigious national fellowships and maintained a consistent academic record. His academic background laid a strong foundation for his later research in applied mathematics, particularly in elasticity, wave propagation, and computational methods.

Professional Experience

Dr. Kahlon has held teaching and research positions in both India and Europe. He is presently a faculty member in the Department of Mathematics at Panjab University. Prior to this, he was engaged in postdoctoral research in France at prestigious institutions, where he developed mathematical models using ultrasonic guided waves. His research also involved solving inverse problems in defect sizing of composite materials. These professional experiences have equipped him with practical skills in finite element modeling and a deep understanding of mathematical applications in physical systems, which he integrates into both teaching and research.

Awards and Recognition

Dr. Kahlon has received numerous fellowships and recognitions throughout his academic and research career. He was awarded postdoctoral fellowships by premier French institutions and received national research fellowships during his doctoral studies. Additionally, he was granted a startup research fund and participated in an international research grant, contributing as a co-investigator. He has also earned academic distinctions during his undergraduate studies and secured travel grants to present his work at international conferences. His achievements reflect his dedication to scientific excellence and his growing influence in applied mathematics and engineering research.

Research Skills

Dr. Kahlon’s research skills span a wide range of mathematical and computational techniques. He is an expert in finite element modeling and has applied these methods extensively to study wave propagation in elastic and microstructured media. His work includes the use of guided waves for detecting structural defects, modeling wave interactions in complex materials, and solving inverse problems. He is proficient in scientific computing using tools such as MATLAB, FORTRAN, Mathematica, and COMSOL. His multidisciplinary research is supported by strong collaborations with international institutions, enhancing the practical impact of his theoretical contributions.

Notable Publications

Waves in Nonlocal Elastic Solid with Voids
Author: D Singh, G Kaur, SK Tomar
Journal: Journal of Elasticity, 1-30
Year: 2017
Citations: 132

Sizing of Impact Damages in Composite Materials Using Ultrasonic Guided Waves
Author: M Castaings, D Singh, P Viot
Journal: NDT & E International 46, 22-31
Year: 2012
Citations: 95

Rayleigh-Type Wave in a Nonlocal Elastic Solid with Voids
Author: G Kaur, D Singh, SK Tomar
Journal: European Journal of Mechanics – A/Solids 71, 134-150
Year: 2018
Citations: 59

Love Waves in a Nonlocal Elastic Media with Voids
Author: G Kaur, D Singh, SK Tomar
Journal: Journal of Vibration and Control, 1-14
Year: 2019
Citations: 41

Sizing Strip-Like Defects in Plates Using Guided Waves
Author: D Singh, M Castaings, C Bacon
Journal: NDT & E International 44 (5), 394-404
Year: 2011
Citations: 32

Conclusion

Dr. Kahlon’s academic and research journey reflects a deep commitment to advancing mathematical science and its practical applications. Through teaching, mentoring, and collaborative research, he continues to contribute to the field of applied mathematics with a special focus on elasticity and wave mechanics. His international exposure and interdisciplinary collaborations have enriched his perspective and broadened the scope of his work. As a dedicated educator and researcher, he remains actively engaged in both academic and scientific communities, striving to develop innovative solutions in mathematical modeling and structural health monitoring.

Kanika | Mathematics | Best Researcher Award

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Ms. Kanika | Mathematics | Best Researcher Award

National Institute of Technology, Agartala, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Ms. Kanika laid a strong foundation in science and mathematics through her formal education in Haryana. Her academic interests matured further during her undergraduate studies in Mathematics, Physics, and Computer Science at Banasthali Vidyapith, Rajasthan. Recognizing her aptitude in mathematical sciences, she pursued a Master’s degree in Mathematics and Computing from the National Institute of Technology (NIT), Agartala. These formative years were instrumental in shaping her analytical abilities and fueling her passion for solving real-world challenges through mathematical principles.

🏢 PROFESSIONAL ENDEAVORS

Kanika’s academic path is enriched by practical engagements in computing and research. She contributed to the development of an Admission Management System during her undergraduate years, streamlining administrative processes and enhancing digital access in higher education institutions. At NIT Agartala, her postgraduate thesis focused on portfolio optimization under uncertainty, guided by Prof. Debasish Bhattacharya, aligning theoretical research with financial applications.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN MATHEMATICS

Ms. Kanika’s research interests are deeply rooted in applied mathematics, with a focus on:

  • Optimization Techniques

  • Uncertainty Theory

  • Graph Theory

  • Numerical Analysis

  • Scientific Computing

  • Machine Learning Integration

Her postgraduate research proposed a novel uncertain mean semi-absolute deviation model for portfolio optimization problems. This work introduced a new approach to evaluating financial risk and return under uncertain environments, incorporating transaction costs and cardinality limitations—contributing significantly to computational finance and mathematical modeling in economics.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • Selected for national-level mathematics training programs including MTTS (IISER-Thiruvananthapuram)

  • Qualified prestigious entrance examinations like IIT JAM, BHU M.Sc. Entrance, and NCERT CEE

  • Recognized by Association of Mathematics Teachers of India (AMTI) through the NMTC

  • Invited for oral presentations on mathematics applications at institutional conclaves

  • Active participation in academic workshops such as:

    • Mathematics: Concepts, Motivation and Applications

    • Research Trends in Mathematics and Technology

    • DigitALL: Innovation and Technology for Gender Equality

🌍 IMPACT AND INFLUENCE

Kanika’s work contributes to evidence-based decision-making in uncertain and data-intensive environments. Her models provide a deeper understanding of risk-return trade-offs, offering potential benefits for both individual investors and institutional finance sectors. With her multidisciplinary approach, she bridges mathematical modeling and machine learning, aiming to impact fields such as financial technology, predictive analytics, and strategic investment planning.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Kanika envisions her academic journey extending into impactful research that unifies mathematics with artificial intelligence, addressing real-world uncertainty problems in finance, healthcare, and public systems. She is committed to expanding her research into data-driven optimization, contributing to academic literature, mentoring students, and fostering mathematical thinking across disciplines.

 ✅CONCLUSION

Ms. Kanika represents a new era of mathematically-grounded, forward-thinking researchers. With her strong foundation, interdisciplinary orientation, and commitment to societal problem-solving, she is poised to make enduring contributions in academia, applied research, and scientific innovation.

🔬NOTABLE PUBLICATION:

Prediction of eco sustainability component using fuzzy Z numbers based ratio analysis and interval type 3 fuzzy logic system
Authors: A. Tarafdar, Kanika, A. Shaikh, P. Majumder, D. Pamucar, V. Simic, U.K. Bera
Journal: Journal of Cleaner Production
Year: 2024

Portfolio adjusting model using uncertainty theory: an application to real finance market
Authors: S. Chhatri, D. Bhattacharya, S. Priyadarshini, K. Kanika
Journal: 2023 IEEE Silchar Subsection Conference (SILCON)
Year: 2023

PRIYA RAO | Mathematics | Best Researcher Award

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Ms. PRIYA RAO | Mathematics | Best Researcher Award

NIT Rourkela, India

Author Profile

SCOPUS

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Ms. Priya Rao’s academic foundation is rooted in mathematics, developed through rigorous undergraduate and postgraduate training. She completed her education from reputed Indian institutions, demonstrating a consistent focus on theoretical and applied aspects of mathematical sciences. This academic background laid a solid groundwork for her doctoral research at the National Institute of Technology Rourkela, where she delved into advanced modeling techniques in uncertain environments.

🏢 PROFESSIONAL ENDEAVORS

Priya Rao has amassed over five years of intensive research experience, specializing in fuzzy uncertainty modeling and vibration analysis of robotic manipulators. Her academic tenure at NIT Rourkela is complemented by her role as a reviewer for top-tier journals in applied mathematics. She has actively participated in numerous international conferences and workshops, reflecting her commitment to interdisciplinary collaboration and academic growth.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN MATHEMATICS

Her core research revolves around:

  • Dynamic modeling and vibration analysis of flexible robotic manipulators under uncertain (fuzzy/interval) environments.

  • Investigating inverse vibration problems, and evaluating the impact of structural damage and material variability.

  • Modeling multi-degree-of-freedom systems using advanced mathematical and computational tools like Galerkin method, Higher-order Shear Deformation Theory, and Timoshenko beam theory.

  • Application of soft computing, numerical techniques, and non-linear ODE/PDE solvers for robotics systems.

🏅 ACCOLADES AND RECOGNITION

Her research has been published in prestigious journals such as Applied Mathematical Modelling, Journal of Vibration Engineering and Technologies, and book chapters with CRC Press and IOP Publishing. Key highlights include:

  • GATE Qualification (2020), awarded by the National Coordination Board, MHRD, Government of India.

  • Multiple international conference presentations across India and abroad (e.g., IIT Ropar, IIT Indore, University of Sharjah).

Her work has already started gaining citations from both academic and applied research communities due to its interdisciplinary nature and practical relevance.

🌍 IMPACT AND INFLUENCE

Through a series of high-impact publications and collaborative research, Ms. Rao has contributed significantly to the advancement of computational mathematics in the domain of robotic system dynamics. Her work bridges the gap between theoretical mathematics and its application in real-world robotic systems, especially in areas of assistive robotics, flexible automation, and material-sensitive modeling.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Having submitted her dissertation in April 2025, Priya Rao is poised to take on postdoctoral or independent research roles in the fields of robotics mathematics, uncertainty quantification, and dynamic modeling. Future goals include:

  • Building computational frameworks for multi-link manipulators under complex boundary conditions.

  • Extending vibration and uncertainty models to bio-inspired robotics and nanomechanical systems.

  • Leading collaborative research in AI-integrated robotics, especially focusing on uncertain, variable, and soft structures.

 ✅CONCLUSION

Priya Rao is a rising scholar in applied mathematics, whose specialized expertise in uncertainty modeling and vibration analysis for flexible robotic systems has opened new pathways in both academic research and applied robotic design. Her work stands at the intersection of mathematics, engineering, and artificial intelligence, promising valuable contributions to science, technology, and innovation.

 🔬NOTABLE PUBLICATION:

Title: Vibration analysis of single-link flexible manipulator in an uncertain environment
Authors: P. Rao, D. Roy, S. Chakraverty
Journal: Journal of Vibration Engineering & Technologies
Year: 2024

Title: Vibration analysis of single-link robotic manipulator by polynomial based Galerkin method in uncertain environment
Authors: P. Rao, S. Chakraverty, D. Roy
Journal: Polynomial Paradigms: Trends and Applications in Science and Engineering
Year: 2022

Title: Dynamics of slender single-link flexible robotic manipulator based on Timoshenko beam theory
Authors: P. Rao, S. Chakraverty, D. Roy
Journal: Mathematical Methods in Dynamical Systems
Year: 2023

Title: Vibration analysis of non-homogenous single-link flexible manipulator in uncertain environment
Authors: P. Rao, D. Mohapatra, S. Chakraverty, D. Roy
Journal: Applied Mathematical Modelling
Year: 2025

Title: Oscillation characteristics of single-link flexible manipulator using design parameters in fuzzy domain
Authors: P. Rao, S. Chakraverty, D. Roy
Journal: Journal of Vibration Engineering & Technologies
Year: 2024