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  • Characterizing poor quality context specific content on online social media 
    Grover, Karan; Kumaraguru, Ponnurangam (Advisor) (2017-04-18)
    In social psychology, a rumor is defined as a story or statement in general circulation without confirmation or certainty to facts. Rumors are known to arise in the context of ambiguity, when the meaning of a situation is ...
  • Chipless RFID reader 
    Vithalkar, Amogh; Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2018-04-18)
    Radio Frequency Identification(RFID) has been gaining popularity recently over barcodes for a wide range of applications like inventory control, supply chain management, manufacturing,etc. With the increasing popularity ...
  • Chipless RFID systems 
    Ummalaneni, Vahini; Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2017-04-18)
    In the course of this BTP,low cost chipless RFID tags have been designed. The proposed RFID tags are fully passive devices. They do not require chip assembly or any power supply. In the previous semester, the tag studied ...
  • Circularly polarized fabry perot cavity antennas with peripheral roughness in superstrate unit cells 
    Jain, Sagar; Ram, Shobha Sundar (Advisor) (IIIT-Delhi, 2019-09)
    A Fabry Perot cavity (FPC) antenna consists of a primary radiator at the base of a dielectric cavity sealed with a partially reflecting surface at the other end. Excitation from the radiator is partially reflected by the ...
  • 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 ...
  • Class-wise deep dictionary learning 
    Khurana, Prerna; Majumdar, Angshul (Advisor) (2016-09-13)
    In this work we propose a classification framework called class-wise deep dictionary learning (CWDDL). For each class, multiple levels of dictionaries are learnt using features from the previous level as inputs (for first ...
  • Classification of agonist and antagonist using machine learning 
    Aggarwal, Bhavay; Ray, Arjun (Advisor) (IIIT-Delhi, 2021-05)
    Proteins are essential for carrying out the activities our cells perform. Agonist and Antagonist molecules are essential in dictating cell activities and hence the Identi cation of the action of such complexes will help ...
  • Classifying stack overflow questions based on bloom’s taxonomy 
    Dubey, Manisha; Goyal, Vikram (Advisor) (2016-09-15)
    Bloom’s Taxonomy is a framework which acts as a reference for classification of questions across different cognitive levels such as Knowledge, Comprehension, Application, Analysis, Synthesis, and Evaluation. It can be used ...
  • Clique counting in graph streams 
    Vinayak (IIIT- Delhi, 2021-06)
    Clique counting is a well studied problem in low memory models like graph streaming. There are algorithms which provide good space complexity bounds for general graphs. For constant pass, approximation algorithms counting ...
  • Clonal reconstruction of cancer from single cell expression based CNV inferences 
    Sethi, Kiran; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2022-08)
    Human cancers are composed of cells with varying genotypes, epigenetic states, and gene expression profiles. Intra and inter-tumor clonal heterogeneity is now recognized as one of the biggest drawbacks for therapeutic ...
  • Clotho : saving programs from malformed strings and incorrect string-handling 
    Dhar, Aritra; Purandare, Rahul (Advisor) (2014-12-12)
    Programs are susceptible to malformed data coming from untrusted sources. Occasionally the programming logic or constructs used are inappropriate to handle all types of constraints that are imposed by legal and well-formed ...
  • Cloud based temperature monitoring solution 
    Sharma, Siddhant; Naik, Vinayak (Advisor) (2017-04-18)
    With the term coined in 1985, Internet of Things (IoT) has been an idea that was always on the minds of researchers, but not quite there yet in implementation. However, with the heavy penetration of the Internet in the ...
  • Co-Designing CNN & FPGA architectures using compression techniques for classifi cation & detection networks. 
    Goel, Pulkit; Anand, Saket (Advisor); Fell, Alexander (Advisor) (IIITD-Delhi, 2019-04-28)
    Deep learning neural networks have revolutionized the elds of Computer Vision, Robotics, Artifi cial Intelligence. However, these State of the art algorithms come at a high computational cost, huge memory requirements and ...
  • Co-speech gesture generation for a conversing virtual agent 
    Khan, Ruhma Mehek; Gupta, Ria; Shukla, Jainendra (Advisor); Bera, Aniket (Advisor) (IIIT-Delhi, 2021-12-14)
    Humans make use of gestures while interacting to enhance the effectiveness of their communication. With the increasing use of virtual agents and humanoid robots, researchers have been trying to make the virtual agents more ...
  • Co-speech gesture generation for a hindi conversing virtual agent/robot 
    Khan, Ruhma Mehek; Gupta, Ria; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2021-03-17)
    Humans make use of gestures while interacting to enhance the effectiveness of their communication. With the increasing use of humanoid robots and virtual agents, researchers have been trying to make the robots more human-like, ...
  • Code clone detection framework based on domain adaptation 
    Malhotra, Hrithik; Purandare, Rahul (Advisor) (IIIT-Delhi, 2021-12)
    Code clones are duplicate code fragments that share (nearly) similar syntax or semantics. Code clone detection plays an important role in software maintenance, code refactoring, and reuse. Most of the techniques for code ...
  • Code variants and their retrieval using knowledge discovery based approaches 
    Vinayakarao, Venkatesh; Purandare, Rahul (Advisor) (IIIT-Delhi, 2018-04)
    Code variants represent alternative implementations of a code snippet, where each alternative provides the same functionality, but has different properties that make some of them better suited to the overall project ...
  • Coexistence between heterogeneous wireless networks 
    Gopal, Sneihil; Kaul, Sanjit Krishnan (Advisor) (IIIT-Delhi, 2020-12)
    The proliferation of data-intensive applications has led to an exponential growth in wireless data traffic over the last decade. Solutions to accommodate this increase in traffic demand include (a) improvements in technology, ...
  • Cognitive inferencing using MEG brain data analysis 
    Tanwar, Tanmay Prashansa; Gupta, Anubha (Advisor) (IIIT-Delhi, 2021-05)
    Working Memory is the small amount of information that is stored in the brain long enough for humans to use it. It is important in many cognitive functions and aids in problem solving. The Working memory task performance ...
  • Cognitive spectrum sharing protocols for energy harvesting wireless sensor nodes 
    Peer, Mansi; Bohara, Vivek Ashok (Advisor) (2016-12-06)
    Energy consumption is one of the primary concerns in the deployment of futuristic wireless sensor networks. On one hand due to advent of technologies such as Internet of Things (IoT), there has been tremendous growth in ...

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