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  • Development of an open IE benchmark 
    Bisht, Manak; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-05)
    Open Information Extraction (Open IE) is the task of extracting triples (subject, predicate, object) from plain text. Tools that perform these extractions are called Open IE extractors. While benchmarks to evaluate the ...
  • Development of chemsules 
    Pankajbhai, Rathod Kunal; Tyagi, Sarthak (IIIT-Delhi, 2023-11-29)
    Chemsules introduces a revolutionary approach to carcinogenicity assessment, anchored by the precision-driven Metabokiller machine learning model. Catering to a diverse user base, including researchers, scientists, industry ...
  • Development of harmonic radar for insect detection 
    Mumtaz, Fatima; Ram, Shobha Sundar (Advisor); Purandare, Swapna (Advisor) (IIIT-Delhi, 2019-07)
    Harmonic radar technology has been researched and developed for studying the foraging behaviour of insects such as honey bees in order to study their decline in the ecosystem. The traditional radar fails to detect the bees ...
  • Development of in silico models for predicting Alzheimer’s disease from single cell genomics 
    Srivastava, Aman; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2023-02)
    Alzheimer’s disease is progressing as the most prevalent neurological disorder world- wide. It is the most common cause of dementia in ageing society. An artificial Neural Network (ANN) is a set of neural networks which ...
  • Development of in silico tools for designing cancer immunotherapy or subunit vaccine 
    Dhall, Anjali; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-10)
    One of the major challenges in designing the cancer vaccine or immunotherapy is to predict the cancer-specific peptides or neopeptides that can stimulate the immune system to fight against the cancer cells. Human leukocyte ...
  • Dictionary based time series modelling 
    Sharma, Shalini; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2022-09)
    Time series analytics is the practice of determining future values of correlated signals. In seminal works, time series were modeled using classical techniques such as ARMA (autoregressive moving average), and its variants ...
  • Differentiable rendering 
    Bhattacharya, Aishiki; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-11-29)
    Differentiable Rendering combines the principles of differentiable programming and rendering pipelines. This report studies this emerging field by going through research papers and the functionalities of the Mitsuba renderer. ...
  • Digital cryptomarkets 
    Agrawaal, Taneea S; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2017-07-07)
    Darknet markets, also known as cryptomarkets, are websites located on the Darknet and designed to allow the traffcking of illicit products, mainly drugs. Over the past decade, online advertising became the principal ...
  • Digital forensics 2.0: an automated, efficient, and privacy preserving digital forensic investigation framework 
    Verma, Robin; Gupta, Gaurav (Advisor); Chang, Donghoon (Advisor) (IIIT-Delhi, 2018-05)
    The current state of digital forensic investigation is continuously challenged by the rapid technological changes, the increase in the use of digital devices (both the heterogeneity and the count), and the sheer volume of ...
  • Digital LDO with analog-assisted dynamic reference correction 
    Bansal, Shrestha; Hashmi, Mohammad S. (Advisor) (2017)
    Most modern circuit designs have a mix of analog and digital circuit blocks integrated on a single chip. Such designs require a dedicated power man- agement unit to provide a stable, regulated and clean power supply. This ...
  • Digital solution to predict and relieve stress 
    Jain, Ananya; Natarajan, Kirthana; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2022-05)
    Stress is the physical and psychological reaction to situations or demands. It is a natural and inevitable part of life. However, experiencing consistent stress over long periods of time can be harmful for health and may ...
  • Digitizing urban neighborhoods in Delhi 
    Ranjan, Saurav; Vikrant; Priyadarshi, Praveen (Advisor) (IIIT-Delhi, 2022-07)
    Delhi is divided into eleven districts which have a total of thirty-three sub-districts. The website has a map starting from the district level and later going to the sub-district level as performed by the user. Digitizing ...
  • DIKE: blockchain based e-voting 
    Aggarwal, Naman; Chakravarty, Sambuddho (Advisor); Samajder, Subhabrata (Advisor); Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-23)
    DIKE: is an online voting system which uses a private blockchain to securely cast and count the votes . The system addresses the issues in existing offline voting system revealing/compromising voter anonymity, partial vote ...
  • DirectShare : a fast and secure peer to peer file sharing protocol 
    Jati, Arpan; Sanadhya, Somitra Kumar (Advisor) (2013-07-09)
    Many Peer to Peer (P2P) protocols and applications have become popular in the recent years and P2P accounts for a very large portion of the internet traffic. But, most protocols are designed with speed and efficiency in ...
  • Disaster simulation 
    Munagala, Deepak; Sujit, PB (Advisor) (IIIT-Delhi, 2017-07-25)
    Disaster simulations can be used to better prepare the disaster management relief forces. Through simulation, we can find out how buildings and people react to oods, measure the scale of destruction during disasters, and ...
  • Discriminative framework for single channel audio source separation 
    Gang, Arpita; Biyani, Pravesh (Advisor) (2016-09-13)
    Sound sources are a very common everyday occurrence. But a single audio source is seldom heard alone. There is a sea of applications, like speech recognition, where an isolated sound source is desirable. This makes audio ...
  • Disease diagnostic classifier for chronic lymphocytic leukemia using genomic data 
    Grover, Sonakshi; Gupta, Anubha (Advisor); Gupta, Ritu (Advisor) (IIIT-Delhi, 2017-11-16)
    This project involves the identification of miRNAs that are differentially expressed across Indolent Vs Progressive and Case Vs Control samples in Chronic Lymphocytic Leukemia (CLL). For this, we have analysed miRNA ...
  • Disentangling latent factors of variation for visual data 
    Talwar, Divyanshu; Anand, Saket (Advisor) (IIITD-Delhi, 2018-12-31)
    Disentangling higher level generative factors as disjoint latent dimensions offer several benefits such as ease of deriving invariant representations, targeted data augmentation with style transfer, better interpretability ...
  • A distributed strategy for human-in-the-loop task servicing using multiple robots with stationary base station connectivity constraint 
    Maini, Parikshit; Sujit, PB (Advisor) (IIIT Delhi, 2014-09-05)
    Mobile robots are increasingly being used for tasks like remote surveillance, sensing and maintenance. Some of these tasks are critical and require intelligent decision making for successful completion. It is not always ...
  • Distributed stream processing at edge 
    Choudhary, Aditya; Chak, Ayush Raje; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-23)
    A vast amount of data is produced by billions of modern devices each year. An effective Stream Processing Engine (SPE) is needed to arrange and handle this data. Among the well-known SPEs are Apache Hadoop, Apache Spark, ...

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