Institutional Repository

This Repository has created and designed to collect, preserve and disseminate the scholarly intellectual output of Indraprastha Institute of Information Technology - Delhi (IIIT-Delhi). Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.

Communities in Repository

Recently Added

  • Wavelet transform learning and applications 
    Ansari, Naushad; Gupta, Anubha (Advisor) (IIIT-Delhi, 2017-12)
    Transform learning (TL) is currently an active research area. It has been explored in several applications including image/video denoising, compressed sensing (CS) of magnetic resonance images (MRI), etc. and is observed ...
  • Citadels in cyberspace 
    Rawat, Madhur; Chakravarty, Sambuddho (Advisor) (2017-06)
    Cyberwarfare remains a sparsely explored domain of cybersecurity research, most often involving targeted attacks by one nation against another, using botnets. These botnets use malware to launch various kinds of attacks ...
  • Middleware systems and analytics for energy management in buildings 
    Arjunan, Pandarasamy; Singh, Amarjeet (Advisor); Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018-03)
    As one of the largest consumers of overall energy, buildings have emerged as attractive targets for using information and communications technologies to advance large-scale sustainability goals. With increasing availability ...
  • A Systems Approach to Understand the ICU Co-morbidome 
    Kaur, Dilraj; Sethi, Tavpritesh (Advisor); Ramachandran, Srinivasan (Advisor) (2017-11)
    Sepsis is one of biggest causes of mortality in patients admitted to the Intensive Care Units across the world. Its incidence in the developing countries including India is expected to be much higher than the developed ...
  • Integration of multi-omics datasets in cancer 
    Sood, Sphoorti; Bagler, Ganesh (Advisor) (2017-11)
    High-throughput technologies have revolutionized scientific research by producing copious amounts of data at a low cost. These large-scale biological data offers tremendous opportunities to understand the molecular mechanisms ...

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