DSpace at IIIT-Delhi: Recent submissions

  • 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 ...
  • Signatures and utility of epigenetic memory at enhancers 
    Talukdar, Rajat; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-05)
    Epigenetic memory is a vital cellular process. It regulates the inheritance of certain efficient traits of normal cells and the traits attained lately by the cells affected by diseases like Cancer from parents to daughter ...
  • Machine learning aided cancer drug response prediction using chemo-genomic data 
    Sharma, Prashant; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-07)
    The intricate nature of tumor heterogeneity and the personalized responses of cancer patients to drug treatments present significant challenges in the field of oncology. In this thesis, I aim to address such challenges by ...
  • Identification of yeast strains for anti-cancer drug screening 
    R, Padmasini; Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2023-04)
    The cellular mechanisms in yeast are highly conserved with humans making it an inexpensive, rapid and easier model organism to work with. Cell cycle checkpoints, DNA repair pathways and CDKs are well studied in yeast and ...
  • Designing circulating-tumor cells (CTCs) detection method using co-measurement data of single-cell RNA and targeted DNA sequencing 
    R, Omkar Chandra; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    Detection of cancer for diagnosis and tracking the prognosis of the patients using liquid biopsy procedure: the extraction of blood for the detection of cells is the least invasive procedure and relatively fast process ...
  • A mobile application for dish detection in food platters by deploying an object detection computational protocol 
    Narwade, Nitesh; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-06)
    The training and deployment of YOLOv4 and YOLOv5 models in an Android application play a vital role in achieving real-time object detection on mobile devices. This abstract overviews the critical steps in training and ...
  • Deciphering genetic bias underlying in global population for lipid homeostasis 
    Garg, Himanshi; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-03)
    Lipid homeostasis refers to the balance of the levels of various lipids, such as fats and cholesterol, within cells and organisms. This balance is crucial for many physiological functions. Disruptions to lipid homeostasis, ...
  • Structural, kinetic, and dynamical analysis of receptor-activated proteolysis 
    G L, Harika; K, Sriram (Advisor) (IIIT-Delhi, 2023-08)
    One of the challenging tasks in systems-level modeling is determining the bistable dynamics from the networks constructed from the experiments. A necessary but not sufficient condition for bistability is the presence of ...
  • Compilation and mining of peptide hormones and their receptors 
    Kaur, Dashleen; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-12)
    Hormones play a crucial role in communicating information between cells and organs; responsible for regulating almost all the physiological processes of organisms. Thus, it is important to collect, compile and mine hormones ...
  • Dceiphering the heterogeneity of three-dimensional volumes using cryo-electron microscopy 
    Saini, Chandan; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-05)
    The cryo-electron microscopy (cryo-EM) technique captures 2D projections of biological structures, revealing their inherent Heterogeneity arising from structural flexibility, conformational changes, and distinct functional ...
  • Finding unique patterns in transcriptome and epigenome of cancer cells 
    Mathur, Arpit; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    Background: Studying Chromatin Architecture is paramount to an understanding of cells or nuclei in disease and normal state. With recent advances in genomic technologies and computational power, new domains like Topologically ...
  • Studying priming and poising of cells 
    Ansari, Ariba; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    An increase in research and development of single-cell genomics led to various insights into cells and their function, it has become a primary focus of research leading to many great discoveries. RNA velocity is one such ...

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