Dr. Sarishti Singh 🎓, an emerging scholar from the Department of Mathematics at IIT Kharagpur 🇮🇳, exemplifies brilliance in the realm of interval analysis and matrix theory. With a Ph.D. focused on uncertainty modeling through interval matrices, her research explores sophisticated domains such as generalized eigenvalue problems, singular value decomposition, and portfolio optimization under imprecise conditions 📊. Backed by prestigious fellowships like UGC-JRF and GATE (AIR 44) 🏅, she has authored impactful publications in leading international journals, showcasing innovation and mathematical rigor 🧠. Dr. Singh’s global academic footprint is evident through her contributions to top-tier conferences including SIAM LA24 in Paris 🌍. Her technical fluency in Python, MATLAB, and R, combined with a strong foundation in teaching, adds to her multifaceted academic persona 💻📚. Guided by eminent mentors and driven by curiosity, she stands as a dynamic force in applied mathematics, poised to shape the future of quantitative sciences 🔍🚀.
Professional Profile
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Scopus Profile
📘 Education
Dr. Sarishti Singh’s academic journey reflects her unwavering commitment to mathematical sciences. She earned her Ph.D. in Mathematics from the esteemed Indian Institute of Technology Kharagpur 🎓, where she specialized in interval matrices under the mentorship of Prof. Geetanjali Panda. Prior to that, she completed her Master’s and Bachelor’s degrees in Mathematics from Panjab University, Chandigarh 🧮, solidifying a strong theoretical foundation. Her academic brilliance is evident through her 8.84 CGPA in Ph.D. coursework and consistently high scores throughout her education. From school achievements to advanced research training, Dr. Singh has demonstrated exceptional focus and dedication 📚, making her a standout figure in the mathematical community.
Professional Experience
Dr. Singh brings a wealth of research and teaching experience from IIT Kharagpur 🏫. She served as a Senior Research Fellow from 2021 to 2025 and as a Junior Research Fellow from 2019 to 2021, actively contributing to academic research and mentoring undergraduate students as a Teaching Assistant 🧑🏫. Her roles have equipped her with deep insights into both theoretical and applied mathematics, as well as pedagogical experience in guiding young minds. Her consistent engagement with faculty and students reflects her strong communication skills and leadership in collaborative environments 🤝. These professional experiences underscore her versatility and commitment to advancing mathematical science on both research and academic fronts.
🔬 Research Interest
Dr. Singh’s research is grounded in the theory and application of interval matrices—a robust framework for modeling uncertainty in real-world data 💡. Her work explores generalized eigenvalue problems, singular value decomposition, and solution bounds for overdetermined systems using interval analysis 🔎. These pursuits have not only advanced mathematical understanding but also offer powerful tools for computational modeling, portfolio optimization, and decision-making under imprecision. Dr. Singh is particularly focused on creating methodologies that bridge abstract mathematics with tangible outcomes, making her work relevant across fields like finance, engineering, and data science 📈. Her passion lies in decoding complex systems through structured uncertainty and insightful computations.
🏆 Awards and Honors
Dr. Sarishti Singh has garnered distinguished accolades that celebrate her scholarly excellence 🏅. She is a recipient of the highly competitive UGC Junior Research Fellowship, awarded by the Ministry of Education, Government of India 🎖️. Additionally, she cleared the Graduate Aptitude Test in Engineering (GATE 2019) with an impressive All India Rank of 44, reflecting her academic prowess 🧠. Her successful qualification in UGC-NET (JRF, December 2019) further emphasizes her research aptitude and national standing. These honors have not only supported her academic journey but also recognize her as one of the most promising young minds in mathematical research 📜.
🧾 Conclusion
In sum, Dr. Sarishti Singh stands as a compelling exemplar of mathematical excellence, innovation, and scholarly dedication 🌟. Her impressive educational credentials, dynamic professional journey, and research breakthroughs in interval analysis illustrate a scholar who is both technically proficient and intellectually curious 🔬✨. With prestigious honors and international academic engagements, she continues to contribute to high-impact mathematical discourse and applications. Dr. Singh’s trajectory suggests not just academic brilliance, but also leadership potential in shaping the future of applied mathematics 🧭. Her fusion of theory and practice, paired with a passion for learning, makes her exceptionally deserving of recognition such as the Best Researcher Award 🏆.
Publications Top Notes
🔹 Generalized Eigenvalue Problem for Interval Matrices
Authors: S. Singh, G. Panda
📅 Year: 2023
📖 Journal: Archiv der Mathematik, 121(3), 267–278
🔁 Citations: 5
🧩 Focus: Explores eigenvalue computation within uncertainty models using interval matrices.
🔹 SVD Enclosure of a Class of Interval Matrices
Authors: S. Singh, G. Panda
📅 Year: 2024
📖 Journal: Information Sciences, 666, Article 120386
🔁 Citations: 4
🔍 Insight: Enhancing accuracy of singular value bounds under parametric uncertainty.
🔹 Bounding the Solution Set of Overdetermined System of Interval Linear Equations
Authors: S. Singh, G. Panda
📅 Year: 2025
📖 Journal: Bulletin of the Iranian Mathematical Society, 51(2), 23
🔁 Citations: 1
📐 Contribution: Provides tight bounds for inconsistent interval linear systems.
🔹 On the Sensitivity of Some Portfolio Optimization Models Using Interval Analysis
Authors: S. Singh, G. Panda
📅 Year: 2025
📖 Journal: OPSEARCH, 62(1), 77–103
🔁 Citations: 1
💼 Application: Examines how interval uncertainty affects financial portfolio strategies.
🔹 Estimation of Lower Bound for the Smallest Singular Value Enclosure of Interval Matrices
Authors: S. Singh, G. Panda
📅 Year: 2024
📖 Journal: Journal of Applied Mathematics and Computing, 70(6), 5543–5556
🔁 Citations: 1
🔧 Result: Delivers techniques for computing robust singular value bounds.
🔹 Singular Value Decomposition of Matrices with Uncertain Parameters
Authors: S. Singh, G. Panda
📅 Year: 2022
📖 Conference: INCOFT – International Conference on Futuristic Technologies
🔁 Citations: 1
⚙️ Scope: Applying SVD to real-world systems with vague or variable inputs.
🔹 Eigenvalue Bounds and Perron-Frobenius Theory for Nonnegative or Positive Interval Matrices
Authors: S. Singh, G. Panda
📅 Year: 2025
📖 Journal: Applied Mathematics and Computation, 495, Article 129329
📊 Theory: Extends classical eigenvalue theory to handle interval matrix positivity.