• 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 ...
• Action recognition in egocentric videos 

  Verma, Sagar; Arora, Chetan (Advisor) (2017-07)

  With an increase in usage and availability of wearable devices like GoPro, Microsoft Hololens, Google Glass, etc, egocentric video analysis has become essential. An interesting application is action recognition in egocentric ...
• Design and analysis of password-based authentication systems 

  Mishra, Sweta; Chang, Donghoon (Advisor); Sanadhya, Somitra Kumar (Advisor) (IIIT-Delhi, 2017-10)

  Passwords are the most widely deployed means of human-computer authentication since the early 1960s. The use of passwords, which are usually low in entropy, is delicate in cryptography because of the possibility of launching ...
• Detecting activities at metro stations using smartphone sensors 

  Mongia, Aanchal; Gunturi, Venkata M. V.; Naik, Vinayak (IIIT-Delhi, 2017-11-29)

  Our paper aims to build a classification-model which delineates the typical motion-related activities performed at a metro station using smart phone sensors. We focus on typical movements, such as climbing the stairs or ...
• Pushing boundaries of face recognition : adversary, heterogeneity, and scale 

  Dhamecha, Tejas Indulal; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2017-07)

  Due to the unconstrained nature of data capture and non-cooperative subjects, automatic face recognition is still a research challenge for application scenarios such as law enforcement. We observe that challenges of face ...
• Techniques for automating quality assessment of context-specific content on social media services 

  Dewan, Prateek; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2017-08)

  Online Social Networks have become a cornerstone of Web 2.0 era. Internet users around the world use Online Social Networks as primary sources to consume news, updates, and information about events around the world. However, ...
• Face recognition for forensics 

  Jain, Arushi; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2017-04-18)

  Face Recognition involves a wide range of applications, many of which are centered around forensic applications. Dead bodies in large-scale calamities like foods and earthquakes require to be identified. However, the bodies ...
• Preliminary diagnosis of sleep apnea using a mobile app 

  Gupta, Shuchita; Sharma, Yashovardhan; Naik, Vinayak (Advisor) (2016-11-17)

  We are building a low-cost and portable device, which can be controlled by patient's Android smartphone, to measure sleep. The device is easy to use and consists of Airow (Rate of respiration), Pulse Oximeter (Heart rate ...
• #PunOKPlease 

  Gupta, Tushar; Kumaraguru, Ponnurangam (Advisor) (2017-04-18)

  We study the use of creative content in the tweets made by Mumbai Police and its impact on user-engagement. Showing that the use of creative content by police departments actually helps them in reaching more number of ...
• Escort bot for the visually challenged 

  Maji, Kartik; Sinha, Shubham; Aggarwal, Taruvar; Singh, Pushpendra (Advisor) (2017-04-30)

  The present invention, generally relates to a navigation aid for visually challenged people, and is essentially an escort bot system and method for providing navigational aid to the visually challenged and senior citizens.
• Coupled deep learning for multi-modal retrieval 

  Keswani, Sumit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2017-04)

  In past few years, cross-modal information retrieval has drawn much attention due to significant growth in the multimodal data. It takes one type of data as the query to retrieve relevant data of multiple modalities. For ...
• Firewall for internet of things 

  Sengupta, Srishti; Gupta, Naman; Naik, Vinayak (Advisor) (2017-04-18)

  With the advent of the Internet of things, privacy and security of sensitive data has become a major concern. IoT devices generate a lot of data, and we need this data to go over the Internet in a secure manner. To solve ...
• Deep learning based 3D reconstruction of indoor scenes 

  Hegde, Srinidhi; Anand, Saket (Advisor); Sharma, Ojaswa (Advisor) (2017-04-18)

  Recent advancement in deep learning techniques has opened doors for wide variety of applications. With growing interests in deep learning and geometry, lots of computer vision problems have been tackled using deep learning. ...
• Comparing 4G internet speeds provided by different ISPs 

  Sharma, Soumya; Naik, Vinayak (Advisor) (2016-11-17)

  With multiple mobile applications for a single function in the market, there is a need to look into the resources the application utilizes as well. In this study, we focus on which resources a particular mobile application ...
• Physically based volume rendering 

  Gupta, Ojaswi; Sharma, Ojaswa (Advisor) (2016-04-28)

  Physically Based Volume Rendering involves solving the Radiative Transfer Equation (with the Rendering Equation as its boundary condition) in-silico to produce images that are indistinguishable from reality. Graphics ...
• Cross-spectral cross-resolution face recognition in videos 

  Gupta, Nikita; Gupta, Sanchit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2017-04-24)

  One of the challenging applications in face recognition is video surveillance, where unconstrained low-resolution video data is captured both in day and night time (visible and near-infrared) with multiple subjects in ...
• Understanding Indian driver behavior for autonomous vehicle path planning 

  Deka, Namrata; Kaul, Sanjit (Advisor); Anand, Saket (Advisor) (2017-04-18)

  This report outlines my work in continuation to last semester on understanding human behavior when it comes to driving on Indian streets. Since traffic in India is not governed by lane-markings, zebra crossings and proper ...
• Multi-agent task planning and allocation 

  Wadhwa, Mohit; Sujit, PB (Advisor) (2017-04-18)

  We study the problem of multi-agent task allocation and planning with local communication between agents. Centralized planning algorithms for task allocation limits the range of the mission and the fixed location where the ...
• Augmented reality from 3d architectural models 

  Rathee, Gaurav; Pandey, Jalaj; Akhtar, Mohammad Hammad; Sharma, Ojaswa (Advisor) (2017-04-18)

  Usually in new places sign boards are used to provide directions or infrastructural information, this approach is quite rudimentary and limited. These boards can provide us with fixed and limited information and require ...

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