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  • MAB on hardware 
    Pareek, Animesh; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    The Multi Armed Bandit (MAB) problem in the Reinforcement Learning field refers to the problem of allocating resources in certain choices for achieving an overall goal with the objective of maximizing expected gain. Our ...
  • 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 ...
  • Machine learning and deep learning models for prediction of protein-ligand binding affinity 
    Kaur, Parneet; Murugan, N Arul (Advisor) (IIIT-Delhi, 2024-05-01)
    In recent years, there has been significant interest in using Machine Learning and Deep Learning to predict protein-ligand binding affinity. This is due to the rapid growth of the computational approaches that have evolved ...
  • 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, ...
  • Machine learning and tanimoto similarity based virtual screening of chemical libraries to develop novel PD therapeutics 
    Singhal, Divyanshi; Murugan, N Arul (Advisor) (IIIT-Delhi, 2024-05-01)
    Parkinson's disease is a prevalent neurodegenerative disorder that affects a significant portion of the aging population worldwide. The etiology of Parkinson's disease involves the accumulation of misfolded proteins, ...
  • Machine learning approaches in cancer detection and treatment 
    Sarita; Sengupta, Debarka (Advisor); Kumar, Lalit (advisor) (IIIT-Delhi, 2023-12)
    Cancer has become the second leading cause of mortality worldwide, and early de-tection and adequate treatment are crucial in reducing the cancer burden. Metastasis,which involves malignant cells detaching from the primary ...
  • Machine learning assisted EDFA modelling for gain and ASE prediction 
    Singh, Kshitiz; Mitra, Abhijit (Advisor) (IIIT-Delhi, 2022-05)
    Machine Learning methods and algorithms have found use in a vast number of industries, including the optical networks industries. One of the key components of any optical network is the Erbium Doped Fibre Amplifier, or ...
  • 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 ...
  • Machine learning for intensive care units 
    Sehgal, Rahul; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Intensive Care Units (ICUs) generate extensive time series data, particularly patient vitals, holding immense potential for meaningful insights crucial for timely interventions and enhanced patient outcomes. Conventional ...
  • Machine learning for intensive care units 
    Deeptanshu; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-05-09)
    Intensive Care Units (ICUs) collect vast amounts of data, including patient vitals which are often recorded as time series data. This data can be analysed to extract meaningful data, which can aid in timely intervention, ...
  • Machine learning in cancer genomics 
    Gupta, Taejas; Gupta, Anubha (Advisor) (IIITD-Delhi, 2019-04-28)
    Cancer is caused by an increased amount of cell growth in an area due to alterations in protein synthesis caused by mutations in certain genes known as cancer driver genes. Determining the gene regulatory network for the ...
  • Maginot lines and tourniquets : on the defendability of national cyberspace 
    Gosain, Devashish; Rawat, Madhur; Sharma, Piyush Kumar; Acharya, Hrishikesh Bhatt (IIIT-Delhi, 2020-01)
    National governments know the Internet as both a blessing and a headache. On the one hand, it unlocks great economic and strategic opportunity. On the other hand, government, military, or emergency-services become vulnerable ...
  • Malware detection through behavioral analysis 
    Anand, Mrinal; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-29)
    As the usage of Android mobile devices has increased rapidly, so has the occurrence of Android malware. To mitigate the risk posed by Android malware, it is important to develop effective detection techniques. In this ...
  • Malware detection through binary analysis 
    Maheshwary, Yashit; Kurian, Deepak; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2020-05-29)
    Malware Detection is an important problem in modern day due to the increasing frequency of malware attacks using unknown malware strains. Unlike traditional detection techniques which require a signature for each sample, ...
  • Manual curation of virus based vaccines and prediction of B-cell epitopes using machine learning technique 
    Tripathi, Sadhana; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-06)
    Unprecedented rise of newly emerging and re-emerging cases of infectious viral diseases have threatened humanity throughout. Vaccines stand as the safest and effective way to manage scale and spread of infectious diseases. ...
  • Manzar: issues with cyber censorship in India 
    Shekhawat, Sahil; Chakravarty, Sambuddho (Advisor) (2017-07-06)
    Last semester we found that the Indian government delegates censorship policies at ISP level which is inconsistent and disorganized. We filed multiple RTIs to Department of Telecommunication seeking censorship policies of ...
  • Mapping the maze : a study of internet shutdowns across the world 
    Malik, Ritik; Chakravarty, Sambuddho (Advisor); Khan, Aasim (Advisor) (IIIT-Delhi, 2021-06)
    The government regimes have frequently used internet shutdowns to curb the freedom of expression and devoice people worldwide. There could be other unintentional reasons, like power failure, device rupture, regional outages, ...
  • Mass problems 
    Dahal, Sameep; Basu, Sankha S. (Adviosr) (IIIT- Delhi, 2020-12)
    There are several known problems that are algorithmically unsolvable such as the Halting problem, Hilbert’s 10th problem for Diophantine equations and so on. We are interested in the degree of insolvability of the problems ...
  • Maternal and child healthcare 
    Azam, Mohammad Sufyan; Bajpai, Ishit; Singh, Siddhant; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-30)
    This project endeavors to establish a framework for knowledge-based digital intervention targeting improved health outcomes for mothers and children. Leveraging WhatsApp chats and Zoom audio transcripts, a web app is under ...
  • Matrix completion techniques in bioinformatics 
    Mongia, Aanchal; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2020-09)
    Data analytics and computational techniques applied to biological sciences aid rapid technological advances, swift discoveries, and reliable analysis. A broad range of bountiful tools and algorithms have played pivotal ...

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