DSpace at IIIT-Delhi: Recent submissions

  • Scientific workflow optimisation 
    Jain, Aakarsh; Kumar, Vivek (Advisor) (IIIT-Delhi, 2023-11-29)
    With the constant widespread of computing devices, improving the efficiency of tasks has increasingly significant ramifications towards decreasing the power consumption, and reducing the overall cost toward operation of ...
  • Post-hoc explainable methods: uncertainty in counterfactual explanations 
    Reddy, Mortala Gautam; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)
    With the introduction of the EU’s GDPR in 2017, lawmakers have emphasized the importance of algorithmic decisions being explainable to people affected by those decisions. This has led to a major focus being put on Explainable ...
  • Smartphone-based pupil dynamics analysis for neurodevelopmental disorder diagnosis 
    Raina, Samarth; Sharma, Swati; Yadav, Muskan; Shukla, Jainendra (Advisor); Ray, Sonia Baloni (Advisor); Chakrabarty, Mrinmoy (Advisor) (IIIT-Delhi, 2023-12-30)
    This research aims to improve the diagnosis of neurodevelopmental disorders by using smartphones, focusing on the psychology of eyes through pupil dynamics analysis. We are developing a user-friendly smartphone app to track ...
  • Uncovering intellectual property threats to language models 
    Singh, Srishti; Goyal, Vikram (Advisor) (2023-11-29)
    The commercial use of Natural Language Processing (NLP) has gained significant popularity in recent years. Many companies train and deploy language models to perform tasks like Sentiment classification, Machine Translation ...
  • Prediction of antimicrobial resistance in E.coli based on genome sequence 
    Sista, Anurag; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-11-29)
    This study addresses the critical issue of antimicrobial resistance (AMR) in Escherichia coli through machine learning techniques. Our methodology includes using already available E.coli strains that are susceptible and ...
  • 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 ...
  • Design of a novel interpretability analysis method to handle out-of-distribution samples 
    Arora, Srijan; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-05-09)
    With the growing introduction of machine learning in critical domains such as healthcare, finance, law and other public services, the need for increased trust and understanding of these models is becoming paramount for ...
  • Meme analysis 
    Agarwal, Siddhant; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Memes are highly prevalent in online social media content, making them a vital source for analysing their power in diffusing ideas online. Memes combine the appeal of visuals with compelling messages, which have the potential ...
  • Utilizing image processing to create an app for cell image counting and characterization 
    Lal, Shubham; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-10-25)
    Organ transplantation represents a beacon of hope for individuals facing end-stage organ failure, with the success hinging on donor-recipient compatibility. Complement-dependent cytotoxicity (CDC) crossmatch imaging and ...
  • Teacher-student collaborative knowledge distillation 
    Dixit, Shantanu; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Knowledge distillation is a technique that involves transferring knowledge from a larger teacher model to a smaller student model. The latest developments in meta-learning-based knowledge distillation emphasize the ...
  • Socio-economic analysis - caste and entrepreneurship in India 
    Haider, Mohammad Faizan; Sharma, Ananya; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-29)
    Numerous policies have been implemented without thorough impact analysis. We focus on evaluating the effectiveness of reservation in uplifting the Scheduled Castes (SC) and Scheduled Tribes (ST) communities. In this study, ...
  • Improving energy efficiency of nvidia GPUs 
    Parashar, Varun; Kumar, Vivek (Advisor) (IIIT-Delhi, 2023-12-11)
    The project focuses on enhancing the energy efficiency of Nvidia GPUs, crucial for graphics, AI, and high-performance computing. The rising demand for GPUs has led to increased energy consumption, necessitating optimization ...
  • Contextual analysis of (DE) serialization overheads 
    Chaurasia, Yashasvi; Rangwani, Vishesh; Shah, Rinku (Advisor) (IIIT-Delhi, 2023-12-05)
    With an increase in use of applications that require custom data to be moved across networks and devices, there is an increasing use of different serialization techniques. There are several serialization alternatives ...
  • Combating digital video piracy: safeguarding intellectual property rights 
    Arora, Chaitanya; Sambuddho (advisor) (IIIT-Delhi, 2023-11-24)
    This research introduces an advanced watermarking methodology designed to combat digital video piracy, specifically targeting traitor tracing and identifying piraters within digital media distribution platforms. The study ...
  • Visual question answering 
    Garg, Prakrit; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    Visual Question Answering(VQA) has applications in various rising areas ranging from Medical Imagery to Video Surveillance and Assistance[1]. VQA problem is a central component of the Artificial General Intelligence problem, ...
  • Early prediction of rumors 
    Choudhary, Harshit; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-24)
    In this study, we address the widespread issue of rumor propagation on social media. Current automated systems primarily rely on analyzing the stance made in tweets to predict the veracity of rumors. To enhance the ...
  • Medical image segmentation 
    Jangu, Kushiluv; Yadav, Abhinn; Gupta, Anubha (Advisor) (2023-11-29)
    Medical image segmentation is a pivotal technique in modern medical imaging, essential for enhancing diagnosis accuracy and patient care. This study explores the application of four advanced deep learning models - DermoSegDiff, ...
  • Wifi sensing v/s Wifi networking: a tug of war in optimizing application performance 
    Sharma, Devraj; Maity, Mukulika (Advisor); Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2023-11-29)
    Wifi has become an omnipresent technology these days. We can find Wifi connection almost everywhere from public spaces like restaurants, educational institutions, transport stations to private homes and offices. Despite ...
  • An emotion annotated dataset of code-mixed mental health counseling and relevant baselines 
    Tiwari, Anusha; Kushagra; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    In India, the realm of mental health is overshadowed by stigma, lack of awareness, and outdated methods, worsened by a scarcity of accessible well-being and counseling solutions. This challenge is particularly prominent ...
  • Optimisation of tail latency in Edge computing 
    Pal, Utkarsh; Kumar, Aman; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2023-05-10)
    Edge computing has emerged as a promising paradigm for meeting the requirements of resourceintensive applications by processing data at the network edge. The aim of our project is to optimise the end to end tail latency ...

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