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.

Shravan Kumar Rudrabhatla | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Shravan Kumar Rudrabhatla | Mathematics | Best Researcher Award

Anurag University | India

Dr. Shravan Kumar R is an emerging researcher in the field of Fluid Dynamics and Artificial Neural Networks, currently serving as an Assistant Professor at Anurag University. He earned his Ph.D. from the National Institute of Technology, Warangal, where his work focused on the artificial neural network treatment of Casson fluid flow over a radially stretching sheet. His academic foundation includes an M.Sc. in Applied Mathematics from NIT Warangal and a B.Ed. and B.Sc. from Kakatiya University. His research interests encompass fluid dynamics, differential equations, and computational modelling using deep learning techniques. Dr. Kumar has published several impactful papers in reputed journals such as the Journal of Thermal Analysis and Calorimetry, International Journal of Applied and Computational Mathematics, and European Journal of Mechanics – B/Fluids. His scholarly output has achieved an h-index of 3, i10-index of 2, and 50 citations as per Google Scholar. A recipient of strong academic distinctions, including qualifying the SET and securing a top rank in GATE, he has actively participated in conferences, FDPs, and workshops on mathematics, AI, and machine learning. Dr. Kumar continues to integrate neural networks with fluid mechanics, contributing toward advancing computational mathematics and intelligent simulation methods.

Profile: Google Scholar

Featured Publications

Srinivasacharya, D., & Kumar, R. S. (2022). Artificial neural network modeling of the Casson fluid flow over unsteady radially stretching sheet with Soret and Dufour effects. Journal of Thermal Analysis and Calorimetry, 147(24), 14891–14903. https://doi.org/10.1007/s10973-022-XXXXX-X

Srinivasacharya, D., & Kumar, R. S. (2023). An artificial neural network solution for the Casson fluid flow past a radially stretching sheet with magnetic and radiation effect. Mathematical Models and Computer Simulations, 15(5), 944–955. https://doi.org/10.1134/S207004822305XXX

Srinivasacharya, D., & Kumar, R. S. (2023). Neural network analysis for bioconvection flow of Casson fluid over a vertically extending sheet. International Journal of Applied and Computational Mathematics, 9(5), 80. https://doi.org/10.1007/s40819-023-016XX-X

Nallpu, S., Sneha, G. S., & Kumar, R. S. (2018). Effect of slip on Jeffrey fluid flow through an inclination tube. Journal of Physics: Conference Series, 1000(1), 012041. https://doi.org/10.1088/1742-6596/1000/1/012041

Rudrabhatla, S. K., & Srinivasacharya, D. (2025). Deep learning framework for Casson fluid flow: A PINN approach to heat and mass transfer with chemical reaction and viscous dissipation. European Journal of Mechanics – B/Fluids, 204401. https://doi.org/10.1016/j.euromechflu.2025.204401

Sk Safique Ahmad | Mathematics | Best Researcher Award

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Prof. Sk Safique Ahmad | Mathematics | Best Researcher Award

Indian Institute of Technology Indore | India

Sk Safique Ahmad is a distinguished professor of mathematics with a research focus on numerical linear algebra, eigenvalue problems, quaternion algebra, and applications in control theory and data science. His academic journey reflects a strong dedication to advancing both theoretical and applied mathematics. He has contributed significantly through publications in reputed journals, invited talks at global conferences, and mentoring of doctoral scholars. His work emphasizes bridging fundamental mathematics with interdisciplinary applications. With extensive research projects, administrative roles, and outreach initiatives, he has emerged as an influential figure in the mathematical sciences community.

Professional Profile

Google Scholar

Education

Prof. Ahmad pursued a comprehensive academic path in mathematics, beginning with undergraduate and postgraduate studies in Utkal University, where he built a strong foundation in pure and applied mathematics. He further advanced with an MPhil degree from Revenshaw University, focusing on deeper aspects of mathematical theories. His scholarly pursuits culminated with a doctoral degree in mathematics from IIT Guwahati, where he specialized in numerical linear algebra and related problem-solving frameworks. His education reflects a consistent trajectory of academic excellence and a commitment to research-driven learning, shaping his later contributions to mathematics and scientific computing.

Professional Experience

Prof. Ahmad has held academic and research positions across leading institutions. He began his career as a research associate at IISc Bangalore and later pursued postdoctoral research at TU Berlin, where he explored advanced aspects of linear algebra and eigenvalue problems. His journey continued at IIT Indore, where he has served in progressive roles as assistant professor, associate professor, and currently as professor of mathematics. Alongside teaching, he has supervised doctoral students, organized international workshops, and contributed actively to departmental development. His career highlights his ability to integrate research, teaching, and academic leadership effectively.

Awards and Recognition

Prof. Ahmad has received recognition from national and international bodies through research grants, travel fellowships, and invitations to global mathematical forums. He has secured funding from agencies such as the Department of Science and Technology and received support from international foundations including Simons Foundation and Chebyshev grants for research interactions. His selection for participation in major international congresses reflects his academic standing. In addition, he has been invited to deliver keynote lectures, organize workshops, and serve as a reviewer for reputed journals. These honors reflect his scholarly impact and contribution to advancing mathematics.

Research Skills

Prof. Ahmad specializes in numerical linear algebra with expertise in linear and nonlinear eigenvalue problems, multiparameter eigenvalue frameworks, and quaternion algebra. His skills extend to structured perturbation analysis, saddle point problems, and their applications in control systems, aeroelasticity, and machine learning. He has supervised doctoral theses addressing advanced computational and algebraic methods, ensuring both theoretical innovation and practical applications. His ability to bridge computational methods with real-world systems demonstrates his versatility as a researcher. With numerous peer-reviewed publications, collaborative projects, and conference engagements, his research skills continue to shape advancements in modern mathematical sciences.

Notable Publications

Pseudospectra, critical points and multiple eigenvalues of matrix polynomials
Author: SS Ahmad, R Alam
Journal: Linear Algebra and its Applications 430 (4), 1171-1195
Year: 2009
Citations: 32

On pseudospectra, critical points, and multiple eigenvalues of matrix pencils
Author: SS Ahmad, R Alam, R Byers
Journal: SIAM Journal on Matrix Analysis and Applications 31 (4), 1915-1933
Year: 2010
Citations: 31

Perturbation analysis for complex symmetric, skew symmetric, even and odd matrix polynomials
Author: SS Ahmad, V Mehrmann
Journal: Electronic Transactions on Numerical Analysis 38, 275-302
Year: 2011
Citations: 22

Pseudospectra of matrix pencils and their applications in perturbation analysis of eigenvalues and eigendecompositions
Author: SS Ahmad
Journal: –
Year: 2007
Citations: 19

The fully implicit stochastic-α method for stiff stochastic differential equations
Author: SS Ahmad, NC Parida, S Raha
Journal: Journal of Computational Physics 228 (22), 8263-8282
Year: 2009
Citations: 18

Conclusion

Prof. Sk Safique Ahmad represents a blend of academic depth, research innovation, and professional leadership in the field of mathematics. His scholarly contributions in numerical linear algebra and eigenvalue problems have established him as a leading researcher, while his commitment to teaching and mentoring has shaped the next generation of mathematicians. His global collaborations, recognition from scientific bodies, and dedication to interdisciplinary applications reinforce his stature. By integrating research, teaching, and service, he continues to contribute meaningfully to the development of mathematical sciences and its role in addressing contemporary scientific and engineering challenges.

Deepak Kumar Mahanta | Mathematics | Best Researcher Award

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Mr. Deepak Kumar Mahanta | Mathematics | Best Researcher Award

Indian Institute of Technology Jodhpur, Rajasthan | India

Deepak Kumar Mahanta is a dedicated researcher in mathematics, currently pursuing a Ph.D. at the Indian Institute of Technology Jodhpur under the guidance of esteemed faculty members. His academic journey reflects a strong foundation in pure mathematics, complemented by active engagement in research on partial differential equations and related areas. He has authored multiple research papers in reputed international journals and contributed to the mathematical community through workshops, seminars, and collaborative projects. His work is characterized by rigor, depth, and originality, aiming to address complex mathematical problems with both theoretical insights and potential practical applications.

Professional Profiles

Scopus | Orcid 

Education

Deepak Kumar Mahanta holds a strong academic background in mathematics, beginning with a Bachelor of Science degree in Mathematics (Hons) from North Odisha University, followed by a Master of Science in Pure Mathematics from Dr. B R Ambedkar National Institute of Technology Jalandhar. He is presently pursuing his doctoral studies in mathematics at the Indian Institute of Technology Jodhpur under the supervision of experienced mentors. His education has been marked by consistent excellence and a focus on advanced mathematical theories, particularly in the domain of nonlinear analysis, variational methods, and partial differential equations, building a solid base for his research endeavors.

Professional Experience

Deepak Kumar Mahanta has actively contributed to academia as a Teaching Assistant at the Indian Institute of Technology Jodhpur, assisting in both undergraduate and postgraduate mathematics courses. His teaching responsibilities have included subjects such as Mathematics-I, Mathematics-II, and Complex Analysis, working alongside various faculty members. In addition to teaching, he has been involved in organizing and participating in numerous national and international workshops, seminars, and symposiums on partial differential equations and related topics. His professional engagement demonstrates a balance of research, teaching, and academic service, fostering a collaborative and intellectually stimulating learning environment.

Awards and Recognition

Deepak Kumar Mahanta has been honored with prestigious academic recognitions for his outstanding performance and dedication to mathematics. He has been awarded a fellowship from the Department of Science and Technology to support his doctoral research. He has also been recognized as a gold medalist for securing the top position in his postgraduate program in mathematics. His consistent academic achievements and success in competitive examinations highlight his strong analytical skills and deep subject understanding. These accolades reflect his commitment to academic excellence and his potential to contribute significantly to the advancement of mathematical research and education.

Research Skills

Deepak Kumar Mahanta possesses a diverse range of research skills, particularly in nonlinear analysis, variational methods, and the study of partial differential equations. His expertise includes working on Schrödinger-Kirchhoff equations, singular and exponential nonlinearities, Trudinger-Moser type inequalities, and anisotropic elliptic systems. He has experience in applying advanced mathematical techniques such as the fibering method and Nehari manifold approach to establish existence and multiplicity results. His work involves both independent problem-solving and collaborative research with international and national experts, leading to publications in respected journals. His proficiency in exploring complex mathematical models underlines his ability to address challenging research problems effectively.

Notable Publications

On (p,n)-Laplace Schrödinger equations with Stein-Weiss convolution parts in Rn
Author: Deepak Kumar Mahanta; Patrick Winkert
Journal: Applied Mathematics Letters
Year: 2026

On coupled nonlocal Schrödinger–Kirchhoff system with singular exponential nonlinearity in RN
Author: Deepak Mahanta; Tuhina Mukherjee; Thin Nguyen
Journal: Electronic Journal of Qualitative Theory of Differential Equations
Year: 2025

Existence and multiplicity of solutions for a class of quasilinear anisotropic elliptic systems via fibering method
Author: Deepak Kumar Mahanta
Journal: The Journal of Analysis
Year: 2025

Degenerate Schrödinger-Kirchhoff (p,N)-Laplacian problem with singular Trudinger-Moser nonlinearity in ℝ^N
Author: Deepak Kumar Mahanta; Tuhina Mukherjee; Abhishek Sarkar
Journal: Forum Mathematicum
Year: 2024

Conclusion

Deepak Kumar Mahanta exemplifies a blend of academic excellence, research innovation, and teaching competence. His educational foundation, research contributions, and professional activities underscore his dedication to advancing mathematical sciences. By engaging in rigorous studies, producing impactful publications, and participating in academic events, he continues to enhance his expertise and contribute to the global research community. His achievements in both theoretical and applied mathematics position him as a promising scholar with the capability to address complex mathematical challenges, inspire students, and foster academic growth. His career trajectory reflects a commitment to knowledge, collaboration, and scholarly excellence.

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.

Assist. Prof. Dr. Dipesh | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Dipesh | Mathematics | Best Researcher Award

SR University, India

Author Profile

GOOGLE SCHOLAR

EARLY ACADEMIC PURSUITS

Dr. Dipesh embarked on his academic journey with a strong foundation in science, demonstrating excellence from high school through higher education. He pursued Applied Mathematics with passion, completing his doctoral studies at Lovely Professional University, Punjab, where his research was recognized for innovation and impact. His commitment to advanced learning led him to a Postdoctoral Research Fellowship at Harran University, Turkey, specializing in Mathematical Modelling.

PROFESSIONAL ENDEAVORS

With a career devoted to teaching, research, and institutional development, Dr. Dipesh has served as an Assistant Professor in reputed institutions, including Lovely Professional University, Punjab and SR University, Warangal. His professional journey includes significant roles such as Coordinator of the Department of Intellectual Property Rights, where he contributed to academic growth through lectures, workshops, and patent drafting. He has also successfully coordinated national-level programs, including the RAFAS 2024 and the National Workshop on MATLAB and LaTeX (NWML-2016).

CONTRIBUTIONS AND RESEARCH FOCUS IN PSYCHIATRIC NURSING

Dr. Dipesh’s research lies at the intersection of Mathematical Modelling, Differential Equations, and Applied Analysis, with a special emphasis on stability analysis, bifurcation theory, and allelopathic interactions in plant populations. His work extends to signal processing algorithms and applied numerical simulations, showcasing a multidisciplinary approach. He has authored multiple copyrighted works, including MATLAB programs and innovative models addressing ecological and technological challenges.

ACCOLADES AND RECOGNITION

  • Best Thesis Award (2023) for outstanding doctoral research.

  • Best Reviewer Award (2023) by the Asian Research Journal of Mathematics.

  • Scientists Research Award (2025) for remarkable academic contributions.
    His work is widely cited across platforms such as Google Scholar and ResearchGate, reflecting the recognition and utilization of his research by the global academic community.

IMPACT AND INFLUENCE

Dr. Dipesh’s contributions have had a profound academic and scientific impact. His research has provided valuable insights into ecological systems and applied mathematics, enhancing understanding in both theoretical and practical contexts. Through his teaching and mentorship, he has inspired students to engage deeply with mathematics and pursue advanced studies. His involvement in intellectual property rights further underscores his influence in shaping research innovation and academic growth within institutions.

LEGACY AND FUTURE CONTRIBUTIONS

Dr. Dipesh envisions creating a legacy of high-quality teaching, impactful research, and institutional excellence. His future goals include expanding his work in Mathematical Modelling for environmental and technological systems, fostering collaborations across international borders, and contributing to ranking, admissions strategy, quality teaching, and student placements to strengthen institutional goodwill.

NOTABLE PUBLICATION:

A Novel Approaches to 6th-Order Delay Differential Equations in Toxic Plant Interactions and Soil Impact: Beyond Newton-Raphson
Authors: Dipesh, P Kumar
Journal: Physica Scripta
Year: 2024

Status and Prospects of GdIG Garnet Ferrites for Energy Storage Devices: A Review
Authors: A Sharma, Dipesh, H Mahajan, AK Srivastavaa
Journal: Next Generation Materials for Sustainable Engineering
Year: 2024

Mathematical Model of Cynodon Dactylon’s Allelopathic Effect on Perennial Ryegrass for Exploring Plant-Plant Interactions Based Upon Ordinary Differential Equations
Authors: Dipesh, P Kumar, A Sharma
Journal: Partial Differential Equations in Applied Mathematics
Year: 2025

Optimizing Allelopathic Interactions: Stability Analysis with Time Delay in Plant Populations
Authors: Dipesh, P Kumar, G Kaur
Journal: Palestine Journal of Mathematics
Year: 2025

On the Hopf Bifurcation and Equilibrium Points of Partial Benefit Symbiosis of Financial Market Using Delay Differential Equations
Authors: D Li, Dipesh, SP Atmaca, P Kumar
Journal: Fractals
Year: 2025

Modelling the Role of Delay in Blood Flow Dynamics in Human Body Using Delay Differential Equations
Authors: Dipesh, P Kumar
Journal: Physica A: Statistical Mechanics and its Applications
Year: 2025

CONCLUSION

In summary, Dr. Dipesh stands out as a dedicated academician, researcher, and innovator whose work bridges theoretical mathematics with real-world applications. His passion for knowledge dissemination, research excellence, and academic leadership continues to make a lasting impact on both students and the wider scientific community.

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

Nagaraju Gajjela | Mathematics | Best Researcher Award

Published-on by Indian Scientist

Dr. Nagaraju Gajjela | Mathematics | Best Researcher Award

SR University, India

Author Profile

ORCID

🎓 EARLY ACADEMIC PURSUITS

  • Bachelor of Science (B.Sc.) in Mathematics, Physics, and Chemistry from University Arts & Science College, Hanamkonda, affiliated with Kakatiya University (2002).

  • Master of Science (M.Sc.) in Applied Mathematics from the National Institute of Technology (NIT), Warangal (2004).

  • Doctor of Philosophy (Ph.D.) in Mathematics from NIT Warangal (2010).

🏢 PROFESSIONAL ENDEAVORS

Dr. Gajjela has amassed over 18 years of teaching and research experience across various esteemed institutions:

  • SR University, Warangal: Assistant Professor in the Department of Computer Science and Engineering (AI & ML) since September 2022.

  • Vaagdevi College of Engineering, Warangal: Assistant Professor (March 2022 – September 2022).

  • Amity University, Tashkent, Uzbekistan: Associate Professor (September 2021 – January 2022).

  • ICFAI University, Hyderabad: Assistant Professor (October 2020 – August 2021).

  • Lebanese French University, Erbil, Iraq: Assistant Professor (September 2018 – July 2020).

  • GITAM University, Hyderabad: Assistant Professor (June 2010 – June 2019).

  • NIT Warangal: Research Scholar and Teaching Assistant (January 2007 – April 2010).

  • SR Engineering College, Warangal: Assistant Professor (September 2004 – December 2006).

📚 CONTRIBUTIONS AND RESEARCH FOCUS ON MATHEMATICS

Dr. Gajjela’s research primarily revolves around Fluid Dynamics, with specific interests in:

  • Magnetohydrodynamics (MHD)

  • Non-Newtonian Fluids

  • Heat and Mass Transfer

  • Flow Dynamics around Cylindrical Structures

🏅 ACADEMIC CITES, ACCOLADES AND RECOGNITION

According to the AD Scientific Index:

  • Publications: 22

  • Citations: 576

  • World Ranking: #650,072 in Natural Sciences – Mathematical Sciences

  • Institutional Affiliation: IBS Hyderabad

Note: While the index lists “G Nagaraju” affiliated with IBS Hyderabad, the alignment with Dr. Nagaraju Gajjela should be verified for accuracy.

🌍 IMPACT AND INFLUENCE

Dr. Gajjela’s work has significantly contributed to the understanding of complex fluid behaviors, especially in the context of MHD and non-Newtonian fluids. His research findings are instrumental in various engineering applications, including thermal management systems and industrial fluid processes.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Gajjela’s extensive teaching experience across multiple countries and institutions underscores his commitment to mathematics education and research. His work in fluid dynamics continues to inspire and pave the way for future research in the field.

 ✅CONCLUSION

Dr. Nagaraju Gajjela stands out as a dedicated mathematician and educator, with a rich background in fluid dynamics and a passion for teaching. His contributions have not only advanced academic understanding but also have practical implications in engineering and applied sciences.

 🔬NOTABLE PUBLICATION:

Title: Impact on induced magnetic field over a second-grade hybrid nanofluid in unsteady thermal systems
Authors: Dr. Nagaraju Gajjela et al.
Journal: Case Studies in Thermal Engineering
Year: 2025

Title: Regression analysis of thermophysical effects in Casson nanofluid flow: Entropy generation, magnetic induction, and mixed convection in an inclined geometry
Authors: Dr. Nagaraju Gajjela et al.
Journal: International Journal of Thermofluids
Year: 2025

Title: Entropy-optimized flow of couple stresses in a porous inclined pipe with uniform magnetic field and mixed convection
Authors: Dr. Nagaraju Gajjela et al.
Journal: Physica Scripta
Year: 2024

Title: MHD Maxwell dusty fluid in thermally stratified radiative flow with temperature-dependent thermal conductivity and Cattaneo-Christov model
Authors: Dr. Nagaraju Gajjela et al.
Journal: Heliyon
Year: 2024

Title: Heat transfer in couple stress two-fluid flow model: Effects of modified heat flux, electromagnetic force, and uneven heat source/sink
Authors: Dr. Nagaraju Gajjela et al.
Journal: Computational Thermal Sciences
Year: 2023

Rupchand Sutradhar | Mathematics | Young Scientist Award

Published-on by Indian Scientist

Dr. Rupchand Sutradhar | Mathematics | Young Scientist Award

Indian Institute of Technology Kanpur, India

Author Profile

GOOGLE SCHOLAR

ORCID

🎓 EARLY ACADEMIC PURSUITS

Dr. Rupchand Sutradhar began his academic journey in West Bengal, completing a B.Sc. in Mathematics with a strong academic record. He went on to pursue an M.Sc. in Applied Mathematics, achieving high distinction and building a solid foundation in applied mathematical modeling.

Continuing his pursuit of academic excellence, he joined the Indian Institute of Technology (IIT) Guwahati for a Ph.D. in Mathematics. Under the guidance of a faculty advisor, his research focused on mathematical biology, particularly the dynamics of hepatitis B virus (HBV) infection.

🏢 PROFESSIONAL ENDEAVORS

Dr. Sutradhar’s transition into postdoctoral research and executive roles reflects his trajectory of growth:

  • Project Executive Officer, IIT Kanpur (Feb 2025 – Apr 2025)

  • Senior Project Executive Officer, IIT Kanpur (May 2025 – Present)

Teaching Experience:

He has contributed significantly as a Teaching Assistant for foundational undergraduate and postgraduate courses such as:

  • Real Analysis

  • Linear Algebra

  • Complex Analysis

  • Numerics of PDEs

Also mentored students under the Peer Assistance Learning (PAL) program and taught on Coursera for B.Sc. in Data Science & AI.

📚 CONTRIBUTIONS AND RESEARCH FOCUS ON MATHEMATICS

Dr. Sutradhar’s research stands out in the interdisciplinary space of Mathematical Biology, with emphasis on:

  • HBV infection modeling

  • Fractional calculus

  • Wave propagation in infectious systems

  • Virology-informed neural networks

  • Capsid recycling and rcDNA dynamics

🧠 Technical Skills:
Proficient in Matlab, C, LaTeX, Mathematica, and computational modeling.

🌍 IMPACT AND INFLUENCE

His work bridges the domains of applied mathematics, virology, and computational science. By introducing new frameworks and numerical schemes, his models offer critical insights for therapeutic strategies against HBV, emphasizing capsid recycling and combination therapies.

As a reviewer for reputed journals such as:

  • The European Physical Journal Plus

  • Mathematical Biosciences

  • Exploration of Digestive Diseases

He is shaping academic discourse in his field.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Sutradhar is actively working on:

  • Triangular domain modeling to reflect liver morphology – a novel integration of biological structure into mathematical simulation.

  • AI-integrated epidemiological models, pushing the boundaries of traditional modeling.

His efforts are poised to inform policy, public health models, and pharmaceutical strategies for chronic infectious diseases.

 ✅CONCLUSION

Dr. Rupchand Sutradhar’s journey epitomizes the synergy of theoretical rigor and practical relevance. With deep engagement in mathematical modeling, he contributes meaningfully to the global scientific discourse on virology and disease dynamics. His blend of academic excellence, technical proficiency, and emerging leadership in applied mathematics positions him as a rising force in interdisciplinary research.

 🔬NOTABLE PUBLICATION:

  • Title: Fractional‐order models of hepatitis B virus infection with recycling effects of capsids
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Mathematical Methods in the Applied Sciences
    Year: 2023

  • Title: Cytoplasmic Recycling of rcDNA-containing Capsids Enhances HBV Infection
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Nonlinear Dynamics
    Year: 2024

  • Title: The Roles of Continuous and Discontinuous Proliferations on Hepatitis B Virus Infection
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Mathematical Biosciences
    Year: 2025

  • Title: On existence of traveling wave of an HBV infection dynamics model: A novel approach
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: The European Physical Journal Plus
    Year: 2024

  • Title: Combination Therapy for Chronic Hepatitis B Using Capsid Recycling
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Proceedings of the 2nd International Conference on Nonlinear Dynamics and …
    Year: 2024