Computer Science and Engineering: Recent submissions

  • 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 ...
  • Understanding and explaining affective traits in english and code-mixed conversations 
    Kumar, Shivani; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2024-03)
    In the past decade, Natural Language Processing has undergone a transformative journey, marked by profound changes. The realm of conversational discourse, in particular, has witnessed remarkable advancements, with contemporary ...
  • Realising AQM algorithms on programmable network switch hardware 
    Bothra, Vedant; Peer, Aditya; Shah, Rinku (Advisor); Maity, Mukulika (Advisor) (IIIT-Delhi, 2023-11-29)
    In the world of computer networks, if we think of the internet , there is always a tradeoff between speed and how much data can be sent through the network which often leads to the use of large storage areas called buffers. ...
  • Dynamic stochastic general equilibrium -heterogenous agent new keynesian (DSGE-HANK) models for monetary and fiscal policy analysis 
    Sarmah, Deepam; Kanjilal, Kiriti (Advisor) (IIIT-Delhi, 2023-11-29)
    Dynamic Stochastic General Equilibrium (DSGE) models are the workhorse of modern macroeconomics. They are used to study the effects of monetary and fiscal policy, and to understand the sources of business cycle fluctuations. ...
  • In-network processing for 5G crypto using FPGA-based NICs 
    Nagar, Ritika; Shah, Rinku (Advisor); Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    The latest advancements in the field of 5G telecommunications have proposed the requirements of high speeds (~1 Gbps per user) and low latency (< 1 ms) for a new world of possible applications such as AR/VR, autonomous ...
  • Learning algorithms for multi-tasks of unconstrained fingerprint recognition 
    Malhotra, Aakarsh; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2024-01)
    Attributed to extensive acceptance and research, lives can and inked fingerprints are successfully used for human recognition. However, applications such as contactless biometrics amidst the pandemic and crime scene ...
  • Leveraging machine learning in identification of biomarkers for cancer diagnosis and personalized therapy recommendation 
    Goswami, Chitrita; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-02)
    In an era where machine learning (ML) is changing the landscape of financial markets, education, security and privacy, the retail sector, and many other crucial aspects of human life, it is only fitting that we should use ...
  • Implementing ChaCha-based crppto primitives on programmable smartNICs 
    Kottur, Shaguftha Zuveria; Shah, Rinku (Advisor); Tammana, Praveen (Advisor); Kadiyala, Krishna (Advisor) (IIIT-Delhi, 2023-05)
    Control and management plane applications such as serverless function orchestration and 4G/5G control plane functions are offloaded to smartNICs to reduce communication and processing latency. Such applications involve ...
  • Enabling rapid prototyping of tangible augmented reality experiences 
    Monteiro, Kyzyl John; Parnami, Aman (Advisor) (IIIT-Delhi, 2023-05)
    We introduce Teachable Reality, an augmented reality (AR) prototyping tool for creating interactive tangible AR applications with arbitrary everyday objects. Teachable Reality leverages vision-based interactive machine ...

Search Repository


Advanced Search

Browse

My Account