BTech Projects: Recent submissions

  • 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 ...
  • 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 ...
  • Co-speech gesture generation for a hindi conversing virtual agent/robot 
    Khan, Ruhma Mehek; Gupta, Ria; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2021-03-17)
    Humans make use of gestures while interacting to enhance the effectiveness of their communication. With the increasing use of humanoid robots and virtual agents, researchers have been trying to make the robots more human-like, ...
  • Co-speech gesture generation for a conversing virtual agent 
    Khan, Ruhma Mehek; Gupta, Ria; Shukla, Jainendra (Advisor); Bera, Aniket (Advisor) (IIIT-Delhi, 2021-12-14)
    Humans make use of gestures while interacting to enhance the effectiveness of their communication. With the increasing use of virtual agents and humanoid robots, researchers have been trying to make the virtual agents more ...
  • Design of FMS application 
    Singh, Arihant; Chhabra, Smiti; Mohania, Mukesh (Advisor) (IIIT-Delhi, 2022-12)
    Facility Management Services, commonly known as FMS, is the body that manages various services provided by the Institute for the welfare of the IIIT-D family. It is mainly responsible for providing a smooth experience to ...
  • Legal text processing 
    Wadhwa, Pritish; Satija, Gitansh Raj; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-07)
    Legal Domain has been explored by the scientific community only upto a limited extent. While there is some amount of research available in the United States of America, the amount of research in India in the same domain ...
  • Uncanny valley effect : an EEG study 
    Kaur, Gursimran; Arora, Ishaan; Ray, Sonia Baloni (Advisor); Chakrabarty, Mrinmoy (Advisor) (IIIT-Delhi, 2022-05)
    Facial expressions are widely used for interpersonal communication as they reflect the internal affective or emotional state of an individual. Humans are highly dependent on facial cues and expressions to judge the effective ...
  • Geometry driven disentangled representation learning 
    Gupta, Devansh; Chhabra, Parth; Anand, Saket (Advisor); Kalyanaraman, Kaushik (Advisor) (2021-11)
    In machine learning, disentangling factors of variation lead to robust latent space representations and improve the efficacy of various downstream tasks like classification, prediction etc. Disentangling representations ...
  • Minute papers in ALT (active learning and teaching) 
    Khandade, Om; Trivedi, Sanchit; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2022-05)
    Minute paper or One minute paper is one of the old exercises that is commonly used in classroom assessment. In this technique, students are asked to fill out responses based on their learnings at the end of a lecture in ...
  • Saksham project BackEnd system 
    Nandini; Singh, Pushpendra (Advisor); Gupta, Swati (Advisor) (IIIT-Delhi, 2022-05)
    Mental illness is one of the growing concerns across the world. According to WHO, mental health patients are more likely to receive lower quality of health and social care. Many researchers have leveraged mobile technology ...
  • Web development for different interesting systems 
    Shokeen, Rasagya; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    My B.Tech project is based on Web development, wherein I was supposed to build a website and deploy an NLP model to implement text processing and generate reports based on the interpretation of the processed text. The ...
  • Hate speech detection in social media 
    Patel, Rhythm; Agrawal, Mohnish; Shah, Rajiv Ratn (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2022-05)
    Hate speech has been defined as the act of offending, insulting, or threatening individuals or a group of people based on their religion, race, caste, orientation, gender, or belongingness to a specific stereotyped community ...

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