DSpace at IIIT-Delhi: Recent submissions

  • Distributed stream processing at edge 
    Choudhary, Aditya; Chak, Ayush Raje; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-23)
    A vast amount of data is produced by billions of modern devices each year. An effective Stream Processing Engine (SPE) is needed to arrange and handle this data. Among the well-known SPEs are Apache Hadoop, Apache Spark, ...
  • KG quality metrics 
    Sharma, Pranav; Mutharaju, Vijaya Raghava (Advisor); Mukherjee, Manuj (Advisor) (IIIT-Delhi, 2023-11-27)
    In the burgeoning field of knowledge representation, the construction and maintenance of highquality knowledge graphs (KG’s) play a pivotal role in ensuring the accuracy and reliability of information. This research endeavors ...
  • DIKE: blockchain based e-voting 
    Aggarwal, Naman; Chakravarty, Sambuddho (Advisor); Samajder, Subhabrata (Advisor); Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-23)
    DIKE: is an online voting system which uses a private blockchain to securely cast and count the votes . The system addresses the issues in existing offline voting system revealing/compromising voter anonymity, partial vote ...
  • Fairness in machine learning 
    Budhija, Kuber; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-01)
    In a world where machine learning and AI play an increasing role in decision-making across various sectors, concerns about fairness have emerged. This report delves into the journey of understanding fairness in machine ...
  • Web development on different interesting systems 
    Hanoon, Ahmed; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    The project is aimed at enhancing a collection of web portals within the broader framework of the Facility Hub application. Comprising of eight distinct portals, each either ready for production or in the final stages of ...
  • Parameterized algorithms to find cohesive subgraphs with small diameter 
    Sakhuja, Raghav; Majumdar, Diptapriyo (Advisor) (IIIT-Delhi, 2023-11-24)
    Given an undirected graph G = (V,E), an s-club is a vertex subset S ⊆ V (G) such that G[S] has diameter at most s. Formally, an s-Club problem asks if the input graph has an s-club with at least k vertices. There have been ...
  • Benchmarking ML/DL libraries 
    Tyagi, Jatin; Rastogi, Nishaant; Jain, Pratyush; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    The exponential growth of machine and deep learning applications across diverse domains has led to the proliferation of machine and deep learning libraries. As these libraries offer various algorithms, tools, and ...
  • AI for software development: refactoring code-bases 
    Vohra, Aryan; Patel, Hardik; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2023-11-29)
    Code refactoring, in which an existing module is modified for satisfying some property while maintaining the functionality, is often needed as software evolves. Since refactoring is tedious and error prone, it is sometimes ...
  • Implementation and evaluation of QUIC on serverless architectures 
    Ambooken, Alvin Joseph; Maity, Mukulika (Advisor) (IIIT-Delhi, 2023-11-29)
    Serverless computing has emerged as a tranformative field in the cloud computing world. It is being increasingly adopted in the industry due to the energy and cost savings associated with it. However, communications withing ...
  • Real-time covert communication 
    Kumar, Anirudh S.; Kumar, Prateek; Chakravarty, Sambuddho (Advisor) (IIIT-Delhi, 2023-11-29)
    In recent years, the censorship measures taken by various countries have introduced large-scale and sophisticated apparatuses to prevent citizens from accessing the internet freely. Numerous efforts have been made in this ...
  • Text-to-talking face: emotionally rich facial animation synthesis 
    Maini, Sarthak; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2023-11-29)
    Given the facial image of an individual along with audio, Talking face generation aims to synthesize portrait videos of the individual that are conditioned by the given audio. Existing methods focus on generating talking ...
  • Building a risk scoring system using ML for cardiovascular risk for Indian population 
    Gupta, Akshat; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-12-03)
    Cardiovascular diseases (CVD) include a variety of conditions affecting the heart and blood vessels, often arising from complex interplay of genetic predisposition, lifestyle factors, and environmental influences. Myocardial ...
  • Innovative graph based transformer model for ECG data analysis 
    Raj, Aditya; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    In this research, we attempt to create a state-of-the-art model for the classification of the PTBXL dataset and improve upon already established metrics. Firstly, we use the previous best model, ST-CNN-GAP-5 and introduce ...
  • Unsupervised pre-trained vitals signals embeddings for fine-tuned prognostication: a multi-resolution approach 
    Sheoran, Ashwin; Patil, Vedant; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The project introduces an innovative method for predicting shock in ICU patients by leveraging unsupervised pre-trained embeddings from vital signs. Utilizing the extensive eICU and MIMIC datasets, the research focuses on ...
  • Activation functions in neural networks 
    Narayan, Anupam; Pandey, Ashish Kumar (Advisor) (IIIT-Delhi, 2023-12-12)
    Artificial neural networks (ANNs) are pivotal in deep learning, with activation functions introducing crucial non-linearity. An ideal activation function should generalize well across datasets, expedite convergence, and ...
  • AI based sketch animation 
    Gupta, Shreyas; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-11-29)
    Animation of hand-drawn sketches can be a challenge for artists with little to no dedicated experience in animation, even when working with reference videos for movement. information. An inaccurate animation can make the ...
  • Meta-analysis of oral microbiome datasets 
    Abhishek; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    The oral microbiome is a complex ecosystem of bacteria, viruses, fungi, and other microorganisms that reside in the mouth. There has been growing interest in studying the oral microbiome in recent years, as it has been ...
  • Differentiable rendering 
    Bhattacharya, Aishiki; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-11-29)
    Differentiable Rendering combines the principles of differentiable programming and rendering pipelines. This report studies this emerging field by going through research papers and the functionalities of the Mitsuba renderer. ...
  • Metric learning 
    Goyal, Harsh; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-11-28)
    Similarity metric learning is a sub-field of machine learning domain that focuses on developing techniques to measure the similarity between data points in a meaningful way. This project aims to design and develop a new ...
  • Understanding online protests : unveiling strategies, collective narratives, and harmful behaviors 
    Neha, Kumari; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2024-02)
    Protests (or movements) are a form of collective sociopolitical action in which mem- bers with similar beliefs express their objections to a cause or situation. Often, a heated debate during protests on social media, such ...

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