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.