Computer Science and Engineering: Recent submissions

  • Social network analysis: incorporating real world message passing in GRLs 
    Dargar, Shashank; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-12)
    With social media becoming the primary source of how information is created, consumed and distributed, it is essential for the learning models to utilize the flow in order to get better understanding which can be later ...
  • E-Nav: route augmentation platform : a geo-locative audio playback platform for toursim 
    Monga, Sargam; Mohania, Mukesh (Advisor); Mondal, Anirban (Advisor) (IIIT-Delhi, 2021-12)
    Starting from the location of the desired destination, how far it is or other tourism services around the destination to the booking of various travel services and accommodation, GIS along with the power of information ...
  • Aerial pedestrian detection using vision based approach 
    Chaudhuri, Yashwardhan; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2022-12)
    Aerial object detection is becoming increasingly popular since images with a large field of view provide higher information per pixel than images with a short field of view. It is popularly used for pedestrian detection ...
  • 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 ...
  • Implicit and explicit hate speech detection 
    Aggarwal, Yash; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-05)
    With an increasing amount of hate on online social media platforms, automatic detection of toxic language plays a protecting role for online users and content moderators. Hence, it be- comes important to ensure that these ...
  • Analysis of social media movements 
    Kumar, Vishwesh; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2021-12)
    Political campaigns recently use social media networks as an important environment to gain visibility for causes such as policy disagreement. Users often show divided opinions on the enacted policy, which sparks intense ...
  • HopOn chatbot: front-end development 
    Kamat, Ankit Kumar; Yadav, Vikhyat; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-12)
    HopOn India by Desiwalks Tours Pvt. Ltd., uses the power of modern cloud technology to enhance visitor experiences and tell stories about destinations like Museums and Monuments. Museums are organisations that collect and ...
  • Performance evaluation of OFDMA in IEEE 802.11ax 
    Sikka, Utkrisht; Maity, Mukulika (Advisor) (IIIT-Delhi, 2022-12)
    High speed WiFi has become a necessity now-a-days. The latest standard of WiFi, IEEE 802.11ax, makes use of OFDMA, MU-MIMO, frame aggregation from different access categories, edca protocol, special Trigger frames that ...
  • Remedium - a platform to connect doctors, insurance and patients 
    Sharma, Utkarsh; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2022-05)
    We propose a platform that connects Doctors, Insurance and Patients and in doing so provides them value that won’t be possible otherwise. We use the platform to store the longitudinal health record of the patient (with ...
  • Development of a stream reasoning benchmark (engineering track) 
    Arora, Udit; Kumar, Shashikant; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-05)
    The emergence of stream reasoning accompanies the expansion of the semantic web. A stream is data that is continuously being generated from various sources, such as the stock markets and social networks. The growing number ...
  • Low resource language processing 
    Kumar, Tanya Sanjay; Shah, Rajiv Ratn (Advisor); K, Sarveswaran (Advisor) (IIIT-Delhi, 2022-05)
    Natural Language Processing has been one of the most important domain in computer linguistics in today’s world. Though there are various efficiently performing tools and models for various NLP subtasks for English, Indic ...
  • Analysis of online mental health counselling conversations 
    Gupta, Tanya; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-05)
    Social media websites like Twitter and Reddit have gradually emerged as platforms for seek- ing help when it comes to a spectrum of mental disorders from depression, ADHD and bipolar disorder to drug addiction. This form ...
  • 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 ...
  • Understanding covid-19 strain emergence in the light of mobility patterns 
    Dudeja, Hardik; Modi, Meet; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2022-12)
    In response to the Covid 19 pandemic, countries have sought to control the spread through restricting population movement and social distancing protocols. It was found that with the decrease in mobility of the people, the ...
  • Joint graph learning and prediction 
    Akhtar, Mohammad Hamzah; Sheoran, Shikhar; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2021-12)
    Estimating the structure of directed acyclic graphs (DAGs, also known as Bayesian networks) is a challenging problem since the search space of DAGs is combinatorial and scales super exponentially with the number of nodes. ...
  • NATIVE: Network Aggregation-based Tiled LIve Video strEaming 
    Rajore, Tanmay; Gambhir, Keshav; Maity, Mukulika (Advisor); Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2022-12)
    Live Video conferencing has become an essential part of day-to-day lives, especially during the covid times. Due to the Pandemic, there has been a significant increase in video calling applications for official meetings, ...
  • Personalized federated self supervised multitask learning 
    Rastogi, Divyansh; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-12)
    Federated learning has been a popular research subject in allowing diverse people and businesses to collaborate on machine learning model training while maintaining privacy. Additionally, in today’s world there is an ...
  • Studying evolution of fake news to hate speech 
    Goel, Vasu; Sahnan, Dhruv; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-05)
    Curbing hate speech is undoubtedly a major challenge for online microblogging platforms like Twitter. While there have been studies around hate speech detection, it is not clear how hate speech _nds its way into an online ...
  • Fraud detection in the google playstore and apple appstore 
    Jain, Ayushi; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2022-05)
    Millions of mobile apps are downloaded and used by users throughout the world. For many developers, these apps are the source of their income. Given that there is monetary aspect attached to applications, this gives rise ...
  • Self-similarity in complex networks 
    Jain, Atishay; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-12)
    Complex networks have been studied and modeled extensively due to their relevance in various real-world systems such as the world-wide-web, telecommunication network and a variety of social networks. A large number of ...

Search Repository


Advanced Search

Browse

My Account