IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Title

Browsing Computer Science and Engineering by Title

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  • Bot analysis on social media 
    Caur, Samiya; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    Ever since the 2014 Lok Sabha election, social media platforms such as Twitter, Facebook etc.have become a vital part of election campaigns in India with political parties investing heavily in the expansion of their ...
  • Brain MRI segmentation 
    Agarwal, Ayush; Sinha, Akshat; Arora, Chetan (Advisor); Gupta, Anubha (IIIT-Delhi, 2017-04-18)
    The automated segmentation of Brain MRI is an important initial step in the application of anomaly detection and pain localization due to neurological diseases. In this view, we aim to segment the sub structures (Caudate, ...
  • Building efficient mobile systems and applications for supporting information exchange in resource limited settings 
    Asthana, Siddhartha; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2017-01)
    Enabling support for information exchange has a great impact on the development of different sections of the society. Mobile phones using telecommunication services have enabled such support in several scenarios including ...
  • Building management system extension 
    Prakash, Divay; Kumar, Hemant (Advisor) (IIIT-Delhi, 2017-04-18)
    The building management HVAC(heating, ventilation and air conditioning) system for Phase II of IIIT-Delhi campus is designed to take care (and advantage) of diversity of use. Instead of using large AHUs(Air Handling ...
  • Building performant, privacy-enhancing, and blocking-resistant communication systems 
    Kumar, Piyush; Chakravarty, Sambuddho (Advisor); Maity, Mukulika (Advisor) (IIIT- Delhi, 2021-08)
    Free and open communication over the Internet is essential for the overall advancement of modern societies. However, there are numerous ways with which malevolent adversaries try to control the flow of information, by ...
  • Cairn : identifying network locations for large scale censorship by resource-constrained adversaries 
    Agarwal, Anshika; Gosain, Devashish; Acharya, Hrishikesh Bhatt; Chakravarty, Sambuddho (2016-09-23)
    Censorship of the Internet by government is a hotly contested topic. Some nations lean more toward free speech; others are much more conservative. How feasible is it for a government to censor the Internet? What mechanisms ...
  • Cairn:identifying network locations for large scale censorship by resource-constrained adversaries 
    Agarwal, Anshika; Chakravarty, Sambuddho (Advisor) (2016-09-15)
    Censorship of the Internet by government is a hotly contested topic. Some nations lean more towards free speech; others are much more conservative. How feasible is it for a government to censor the Internet? What mechanisms ...
  • Call Me MayBe : understanding nature and risks of sharing mobile numbers on online social networks 
    Jain, Prachi; Kumaraguru, Ponnurangam (Advisor) (2014-07-10)
    There is a great concern about the potential for people to leak private information on social networks. There are many anecdotal examples of this, but few quantitative studies. This research explores the activity of ...
  • Camera pose estimation 
    Verma, Ishita; Saran, Nitika; Arora, Chetan (Advisor) (IIIT-Delhi, 2017-04-18)
    Pose estimation is a fundamental problem in computer vision and is prevalent in numerous applications such as object-detection, tracking etc. Generally, in pose estimation between two camera views, we have 6 degrees of ...
  • Can humans and automatic algorithms recognize look-alike faces? 
    Lamba, Hemank; Sarkar, Ankit; Vatsa, Mayank; Singh, Richa (2012-03-26)
    One of the major challenges of face recognition is to de- sign a feature extractor that reduces the intra-class vari- ations and increases the inter-class variations. The fea- ture extraction algorithm has to be robust ...
  • Can we predict propensity of sharing of multimedia content among Indian ethnicity 
    Prasad, Yashdeep; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2021-12)
    Billions of online video ads are viewed every month. We aim present a large scale dataset of the response of Indian audience to the online advertisements. The project is an attempt to find a causality between popularity ...
  • Capturing mannerisms in speech data 
    Nambiar, Pranav; Arora, Chetan (Advisor); Anand, Saket (Advisor) (IIITD-Delhi, 2018-04-30)
    Text-to-speech systems generally require large amounts of annotated speech data with the quality of both the annotations and speech being a huge factor. As a result, most of the research performed has been on highly curated ...
  • ChaMAILeon simplified email sharing like never before 
    Dewan, Prateek; Gupta, Mayank; Kumaraguru, Ponnurangam (2012-03-14)
    While passwords, by de nition, are meant to be secret, recent trends in the Internet usage have witnessed an increasing number of people sharing their email passwords for both personal and professional purposes. As ...
  • Channel-graph regularized correlation filter for visual object tracking 
    Tyagi, Arjun; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-08)
    Correlation filter (CF) based tracker often disregard or weakly incorporate the importance of feature channels as well as channel similarity. To address this, we propose a channel-graph regularization correlation filter-based ...
  • Characterization of novel short proteins in the human microbiome 
    Mrinal; Gautam, Prutyay; Ray, Arjun (Advisor) (IIIT-Delhi, 2020-12)
    The project is based on applying Machine Learning tools and di erent analysis techniques to identify which protein features in metagenomes sampled from Human and Non-Human (other mammal species) microbiomes help them impart ...
  • Characterizing mobility patterns of people in developing countries using their mobile phone data 
    Yadav, Kuldeep; Kumar, Amit; Bharti, Aparna; Naik, Vinayak (2013-10-10)
    Location data collected from mobile phone users provide an ideal platform to generate human mobility patterns. These patterns give us insights into how people travel in their dayto- day lives.With availability of cellular ...
  • 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 ...
  • 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 ...
  • 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 ...

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