• Machine Learning and Predicting Clinical Outcomes 

  Chandrani Kumari (IMSc, 2025)
• Pre- and Postselected Measurements, and Uncertainty Relations [HBNI Th258] 

  Sahil (The Institute of Mathematical Sciences, 2025)

  In this thesis, we focus on two well-connected topics: quantum measurement and quan- tum uncertainty relation. The first topic is the well-known “pre- and postselected mea- surements”. Aharonov, Bergmann, and Lebowitz ...
• On combinatorial models for q-Whittaker and modified Hall–Littlewood polynomials [HBNI Th257] 

  Ratheesh T V (The Institute of Mathematical Sciences, 2025)

  This thesis is structured into two distinct parts. The first part addresses two special cases of a conjecture proposed by Ayyer, Mandelshtam, and Martin concerning a bijection between two different combinatorial models for ...
• On holomorphy and special values of Artin L-functions [HBNI Th256] 

  Dhananjaya Sahu (The Institute of Mathematical Sciences, )

  In this thesis, we investigate holomorphy and special values of Artin L-functions. Let K/F be a Galois extension of number fields with Galois group G. Artin conjectured that Artin L-functions associated to non-trivial ...
• Rare events in cluster-cluster aggregation [HBNI Th255]  

  Subashri V (The Institute of Mathematical Sciences, 2024)

  To summarize, we developed a biased Monte Carlo algorithm to compute probabili- ties of rare events in irreversible cluster-cluster aggregation for an arbitrary collision kernel. In particular, the algorithm measures P (M, ...

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