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Characterization of non-antibiotic medication associated microbiome module in the human gut microbiome

Regonda, Vindhya; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2024-05-18)

Pharmacomicrobiomics, an emerging field at the intersection of microbiology and pharmacology, explores the intricate relationship between drug response and the gut microbiome, offering new avenues for precision medicine. ...

Machine learning based design of multi-targeting inhibitors for Alzheimer disease and structure based validation

Kumar, Virendra; Murugan, N Arul (Advisor) (IIIT-Delhi, 2024-06-01)

Neurodegenerative diseases are one of the major problems in today's world, and Alzheimer's is one of them. The disease-associated symptoms are not diagnosed earlier, and also very few FDA-approved disease-reversing drugs ...

Development of the scoring function for protein ligand binding affinity by implementing graph-theory based approaches

Singh, Shikha; Murugan, N Arul (Advisor) (IIIT-Delhi, 2024-05-01)

Scoring functions are essential to computational drug discovery since they evaluate or predict a ligand's binding affinity to its target protein. These functions rank the goodness of fit of a ligand into the binding site ...

Developing machine learning and deep learning models for predicting the folding rate of proteins and peptides

Tyagi, Reegina; Murugan, N Arul (Advisor) (IIIT-Delhi, 2024-05-21)

In order to comprehend the functionality and stability of proteins and peptides, it is essential to forecast their folding rates. This thesis explores the construction of sophisticated machine learning (ML) and deep learning ...

Unveiling E. coli adaptation dynamics with protein language model and random walk

Jaiswal, Nancy; Sengupta, Debarkar (Advisor) (IIIT-Delhi, 2024-05-21)

Biological processes rely on intricate interactions among multiple genes, forming diverse networks like protein-protein interaction networks, gene regulation networks, gene co-expression networks, and metabolic networks. ...

Data-driven exploration of cross-body site interactions between oral and gut microbiome

Mahajan, Sakshi; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2024-05-20)

This study investigates the link between the oral and gut microbiome, two highly diverse microbial communities with established connections to human health. We per formed meta-analysis on across those studies containing ...

Microbiome surfaceome and secretome atlas : building a dictionary of putative surface and secreted proteins on the human microbiome

CB, LAVANYA; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2024-05-18)

Microbial effectors like genotoxins have been shown to play a crucial role in the pathogenesis of diseases like colorectal cancer. These effectors are agents capable of causing DNA damage within cells and are pivotal in ...

Identify, inspect and intervene multimodal fake news

Singhal, Shivangi; Shah, Rajiv Ratn (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2023-06)

Fake news refers to intentionally and verifiably false stories created to manipulate people’s perceptions of reality. Fake news is destructive and has been used to influence voting decisions and spread hatred against ...

On the distribution and applications of Ramanujan sums

Goel, Shivani; Chaubey, Sneha (Advisor) (IIIT-Delhi, 2024-05)

While studying the trigonometric series expansion of certain arithmetic functions, Ramanujan, in 1918, defined a sum of the nth power of the primitive qth roots of unity and denoted it as cq(n). These sums are now known ...

Modeling online user interactions and their offline effects on socio-technical platforms

Hitkul; Shah, Rajiv Ratn (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2024-03)

Do online interactions trigger reactions back in the offline world? How can these reactions be detected and quantified? Specifically, what insights can be extracted for users, platform owners, and policymakers to minimize ...

Overcoming biases and injuries : tackling challenges in facial analytic systems

Majumdar, Puspita; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2024-06)

The remarkable achievements and the robust performance of deep models have been instrumental in the evolution of facial analysis systems. Employed across a wide array of applications, these systems assist in making crucial ...

Language models for temporal decisions in health datasets

Pal, Ridam; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-07)

Healthcare has been undergoing a data-driven transformation, further accelerated by the COVID-19 pandemic. A significant amount of healthcare data is unstructured and underutilized. The success of Large Language Models ...

Audio visual consistency detection

Pathak, Harsh; Govil, Shreedhar; Subramanyam, A V (Advisor) (IIIT-Delhi, 2019-11-16)

With recent advancement in deep learning, it has been made possible to create fake images and videos with near perfect precision. This has led to a growing concern about the possible misuse of this technology in context ...

Fine-grained unsupervised tracklet matching

Arora, Ansh; Subramanyam, A V (Advisor) (IIIT-Delhi, 2022-05)

Re-identification offers a useful tool for non-invasive biometric validation, surveillance, and human-robot interaction in a broad range of applications from crowd traffic management to personalised healthcare. Given the ...

Subspace learning for person Re-identification

Roy, Neelabhro; Subramanyam, A V (Advisor) (IIIT-Delhi, 2019-11)

Person Re-Identi cation (PRID) has been one of the most prominent problems in intelligent video surveillance in the recent past. PRID is the task of retrieving all the instances of a person given a single shot or a sequence ...

Semi dense adversarial LSTM for unsupervised video summarization

Sharma, Kunal; Chaudhary, Vipin; Subramanyam, A V (Advisor) (IIIT-Delhi, 2019-11)

Video summarization is an important step in analysing video feeds in various scenarios such as surveillance, events and other applications. However, it is a challenging task due to inherent dynamic nature of video due to ...

Decoding the DNA of code: an AI-infused approach to detect code cloning in software systems

Mehrotra, Nikita; Purandare, Rahul (Advisor) (IIIT-Delhi, 2024-06)

Code clones, duplicate code fragments sharing similar syntax or semantics, have become increasingly prevalent due to the success of software management tools like GitHub and advancements in Open Source Software (OSS). ...

Efficient surveillanve video compression using dictionary/transform learning

Nayeem, Mohammad; Subramanyam, A V (Advisor) (IIIT-Delhi, 2017-11-18)

Techniques used for sparsifying the signal in dictionary or transform domain are quite popular in signal processing. In this work, we propose a method for e cient compression of surveillance videos. We observe that in these ...

Unsupervised cross-domain adaptation of person re-identification

Dhawan, Siddharth; Subramanyam, A V (Advisor) (IIIT-Delhi, 2019-11-16)

Person re-identi cation is the task of retrieving images of a query person, from a gallery of images obtained from a non-overlapping camera network. Many supervised deep learning methods have been proposed for person ...

Empowering autism diagnosis : an artificial intelligence-assisted assessment in the Indian context

B, Ashwini; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2024-03)

The diagnostic process for Autism Spectrum Disorder (ASD) is complex,requiring extensive expertise to integrate information from diverse sourcessuch as parental reports and clinical observations. However, limited accessto ...

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