DSpace at IIIT-Delhi: Recent submissions

  • Explorized filter-based on-policy adaptive optimal lqr with unknown dynamics 
    Chhillar, Jayant; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-08)
    Conventionally, optimal control solutions demand offline a priori knowledge of the system dynamics. Adaptive optimal control methods have been advantageous in allowing for dynamic controllers to approximate optimal control ...
  • An artificial neural network based incremental placer for wire length reduction 
    Gagandeep; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2022-08)
    The total wire length of a design affects various QoR measures such as timing, power, and routability. Hence, it is a critical parameter to optimize in physical design. Post global routing, the total wire length can be ...
  • A sense amplifier based bulk built-in current sensor for detecting laser-induced currents 
    Batabyal, Debjit; Grover, Anuj (Advisor); Kumar, Ashish (Advisor) (IIIT-Delhi, 2022-07)
    Soft errors can occur when integrated circuits (ICs) are subjected to hostile conditions in space, the upper atmosphere, or even on Earth. For more than four decades, researchers have been studying similar phenomena. Among ...
  • To study the impact of process variations on NoC performance: a circuit-centric approach 
    Anushka; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-12)
    Due to technology scaling, achieving increasing bandwidth demands has become challenging and has led to the preference of Network-On-Chips (NoCs) over bus architecture as the communication infrastructure in multi-core ...
  • Hardware software co-design of deep learning augmented wireless channel estimation 
    Sharma, Animesh; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2022-12)
    The feasibility study of deep learning (DL) approaches for reliable, flexible, and high throughput wireless physical layer (PHY) has received significant interest from academia and industry. In this direction, 3GPP has set ...
  • 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, 2023-05)
    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 ...
  • Machine learning and deep learning models for solvation energy prediction 
    Tejas; Murugan, N Arul (Advisor) (IIIT-Delhi, 2023-08)
    Drug discovery is divided into 4 phases. The first phase is in-silico processes beginning with target identification and validation, followed by the hit discovery process, assay development, high throughput screening, ...
  • ThpPred: an ML based tool for predicting therapeutic proteins/peptides 
    Gupta, Srijanee; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2023-07)
    ThpPred is a web-based tool, developed for predicting druggable proteins/peptides. The main dataset used in this study contained 356 therapeutic proteins/peptides and 356 random proteins/peptides, curated from DrugBank, ...
  • Analysis of gene expression and structural variations in common genes across populations: implications for cardiovascular disease and reverse cholesterol pathway 
    Verma, Shivansh; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-08)
    Cardiovascular disease (CVD) remains a significant global health challenge, influenced by a complex interplay of genetic and environmental factors. Dysregulated lipid metabolism, a key contributor to CVD, disrupts cholesterol ...

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