Mathematics: Recent submissions

  • Enhanced state of health prediction of battery using machine learning and digital twin 
    Sharma, Raghav; Kumar, Shobhit; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2023-11-29)
    In the digital age, use of batteries has increased manifold and thus, our dependence on them. It becomes critical that we are able to accurately predict the remaining charge and the state of health of the battery for safe ...
  • Functionally redundant genome clusters 
    Reddy, Vemula Thushar; Arvind; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    This project aims to develop computational pipelines to cluster genomes based on the similarity in their functional signatures and to identify functionally redundant genome clusters. This initiative has built an extensive ...
  • Maternal and child healthcare 
    Azam, Mohammad Sufyan; Bajpai, Ishit; Singh, Siddhant; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-30)
    This project endeavors to establish a framework for knowledge-based digital intervention targeting improved health outcomes for mothers and children. Leveraging WhatsApp chats and Zoom audio transcripts, a web app is under ...
  • Computational gastronomy: novel recipe generation with constraint optimization 
    Sindhwani, Ishita; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-05-09)
    In response to the escalating demand for the generation of novel and diverse cooking recipes, this research in Natural Language Processing introduces a new tool—Ratatouille. The tool utilizes various Deep Learning models, ...
  • Gamification for learning 
    Gupta, Aishani; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-10-29)
    This project aims to develop a framework to automate the gamification process of educational content. The framework shall be based on stories from NCERT textbooks for creation purposes. There are three main steps in the ...
  • On some special classes of linear and additive codes over finite commutative chain rings 
    Yadav, Monika; Sharma, Anuradha (Advisor) (IIIT-Delhi, 2024-05)
    Self-orthogonal codes, self-dual codes, and linear codes with complementary duals (LCD codes) constitute the three most important and well-studied classes of linear codes. These codes have nice algebraic structures and are ...
  • Spatio-temporal linear stability of viscoelastic saffman-taylor flows 
    Ghosh, Dipa; Sircar, Sarthok (Advisor) (IIIT-Delhi, 2024-03)
    This thesis is about an analytical study of viscoelastic fingering that solves the problem of predicting the finger width when a Newtonian fluid (with negligible viscosity) drives a non-Newtonian (power-law) fluid. The ...
  • Unimodular polynomial matrices and partial linear transformations over finite fields 
    Arora, Akansha; Ram, Samrith (Advisor) (IIIT-Delhi, 2022-11)
    This thesis consists of some interesting combinatorial problems on matrix poly- nomials over finite fields. Using results from control theory, we give a proof of a result of Lieb, Jordan and Helmke (2016) which solves the ...
  • HoppaQ : self checkout shopping cart 
    Sarkar, Arka; Singla, Utsav; Jerripothula, Koteswar Rao (Advisor) (IIIT-Delhi, 2021-05)
    With the growing population in major cities the need of groceries is essential for everyone, this makes the supermarkets get flooded with consumers looking for a quick shop, but all comes to a halt when one realises a huge ...
  • Reinforcement learning in network survivability, routing, modulation and spectrum allocation in elastic optical networks 
    Buxy, Sudarshan; Mitra, Abhijit (Advisor) (IIIT-Delhi, 2021-12)
    The report provides an overview of the motivation behind using reinforcement learning in network survivability and routing, modulation and spectrum allocation. The reinforcement learning algorithms that were explored ...
  • Predictors of countries' positions on lethal autonomous weapons systems 
    Soni, Prabhat; Priyadarshi, Praveen (Advisor) (IIIT-Delhi, 2022-05)
    Finding what does (and doesn't) predict countries' positions on lethal autonomous weapons systems (LAWS) could be very valuable in informing the decisions of countries and NGOs. This report tests the predictive power of ...
  • A repository of wheels for embedded systems 
    Kushwah, Nikhil; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2022-12)
    A wheel file is a pre-compiled package that can be installed with pip, which is the package manager for Python. This can make installing and using certain modules on a Raspberry Pi much easier, eliminating the need to ...
  • Building ontology models and knowledge graphs for healthcare data 
    Garg, Yuvraj; Balooja, Mudit; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-12)
    Medical information from various sources has to be integrated and compiled together to provide a better understanding of a patient’s health. Mappings between different standards and domain ontologies are constructed to ...
  • Introducing ‘nocoalias’ attribute to improve context-sensitive alias analysis in LLVM 
    Manas; Kedia, Piyus (Advisor) (IIIT-Delhi, 2022-12)
    The technique of alias analysis enables us to determine which memory locations can be accessed via different access paths. But finding objects satisfying aliasing sets is hard. We present a context-sensitive approach to ...
  • A SPARQL to cypher transpiler 
    Agrawal, Lakshya A; Singhal, Nikunj; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-05)
  • Population / patient phenotype similarity based GCN for survival analysis 
    Kirtani, Chhavi; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2020-12)
    Survival Analysis is an important field of research and has its application in medical fields. Researchers have been experimenting with multiple methods to provide a better predicting model for survival analysis, yet ...
  • A study on the BKZ lattice reduction algorithm 
    Sharma, Pravek; Samajder, Subhabrata (Advisor) (IIIT-Delhi, 2020-12)
  • Graph sub isomorphism 
    Rajgaria, Abhishek; Rastogi, Preyansh; Goyal, Vikram (Advisor) (IIIT-Delhi, 2020-06)
    Subgraph isomorphism problem is one of the most frequently encountered and extensively studied in the big graph database model and in Graph Theory. Graph Sub isomorphism problem is approached with machine learning techniques ...
  • Mass problems 
    Dahal, Sameep; Basu, Sankha S. (Adviosr) (IIIT- Delhi, 2020-12)
    There are several known problems that are algorithmically unsolvable such as the Halting problem, Hilbert’s 10th problem for Diophantine equations and so on. We are interested in the degree of insolvability of the problems ...
  • Detection and prediction of hypothermia in ICUs using thermal images 
    Wason, Mahika; Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2020-12)
    Hypothermia is a critical condition in which the human body starts to lose heat faster than it can produce resulting in extremely low body temperatures. Specifically, when the core body temperature drops below 95 degrees, ...

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