Computer Science and Engineering: Recent submissions

  • 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; 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 ...
  • Computational creativity: artificial intelligence models for the generation and classification of affective artwork and their human evaluation 
    Raj, Yash; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-06)
    Visual artwork is among the most salient forms of human expression. From prehistoric cave paintings to Renaissance and modern art, paintings have been a powerful medium for expressing emotions. With the advent of computing ...
  • Extreme abstractive text summarization 
    Simran; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-12)
    Extreme Abstractive Summarization of long scientific papers requires domain knowledge and a concise summary maintaining faithfulness to the source and covering novel aspects presented in the paper. Human annotations are ...
  • Federated learning for commercial image sources 
    Jain, Shreyansh; Jerripothula, Koteswar Rao (Advisor) (IIIT-Delhi, 2023-05)
    With the growing awareness regarding user privacy and the demand for transparency, traditional distributed machine learning algorithms are becoming taboo that uses the user’s data without any restriction or privacy. The ...
  • Sarcasm explanation in multimodal dialogues 
    Vaibhav, Shashwat; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-12)
    Sarcasm is a means to convey ridicule or contempt. There has been a plethora of work in sentiment analysis, of which sarcasm is one of the most challenging tasks due to the incongruity between the surface level and the ...
  • Policy document summarization with controlled abstractive techniques 
    Fazili, Sehban; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-05)
    Privacy policies are often lengthy and complex, hindering individual’s ability to make informed decisions about their data privacy. Abstractive summarization techniques can improve accessibility and transparency, but there ...
  • Few quantum cryptanalysis techniques 
    Saha, Sanchita; Bera, Debajyoti (Advisor) (IIIT-Delhi, 2021-05)
    Quantum algorithms like Shor’s and Grover’s algorithms have proven to break several cryptographic schemes theoretically. Shor’s algorithm, which can factor numbers exponentially faster than classical computers, can break ...
  • Microservice-based in-network AES solution for FPGA NICs 
    Hussain, Lasani (IIIT-Delhi, 2022-12)
    Data centers demand high throughput (100 to 400 Gbps) and sub-millisecond latency. The performance of data center applications heavily depends on the efficiency of the underlying TCP stack. Despite several optimizations, ...
  • Harmful meme diffusion 
    Vigneshwar, Palani; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2023-05)
    With the widespread use of social media platforms, virality has become a fascinating subject for researchers. Content-based research emphasizes the role of content characteristics in predicting virality, such as the type ...
  • Multimodal sarcasm explanation and target generation 
    S, Giridhar; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-05)
    Sarcasm is a nuanced and context-dependent communication that poses a significant challenge for natural language processing (NLP) systems. This study proposes a novel approach to improving sarcasm understanding by generating ...
  • Knowledge graph assisted extreme summarization of scientific documents in hyperbolic space 
    Mukherjee, Asmita; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-12)
    A research paper is a document that presents an original work and introduces new concepts and makes interconnections between them via arguments and statements. Extreme Summarization involves high compression of the information ...
  • 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, ...

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