MTech Theses: Recent submissions

  • Exploiting the tradeoff between energy consumption and execution time in mixed cpu-gpu edge-cloud environment 
    Rathee, Ravi; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2022-06)
    Mobile devices like smartphones can augment their low-power processors by offloading GPU- heavy applications to cloud servers. However, cloud data centers consume a lot of energy and have high latency. To mitigate the ...
  • Detection of doctored speech : towards an end-to-end parametric learn-able filter approach 
    Arora, Rohit; Anand, Saket (Advisor); Mohan, Aanchan (Advisor) (IIIT-Delhi, 2022-05)
    The Automatic Speaker Verification (ASV) systems have potential in biomet- rics applications for logical control access and authentication. A lot of things happen to be at stake if the ASV system is compromised. The questions ...
  • User-centric power optimization in smart home environments 
    Gupta, Saurabh; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2022-07)
    Rapid advancements in the Internet of Things (IoT) have facilitated efficient de- ployments of smart environment solutions for specific user requirements. With the increase in the number of IoT devices, it has become ...
  • Information extraction in user's complaints 
    T G, Narayanan; Akhtar, Md. Shad (Advisor) (IIITD, 2022-08)
    The task of Named Entity Recognition is one of the most explored fields in the Natural Language Processing domain. Numerous existing works have tried to uncover different aspects of this common yet unique field. The NER ...
  • A sketch-based approach towards scalable and efficient attributed network embedding 
    Chakraborty, Tapadeep; Bera, Debajyoti (Advisor) (IIIT-Delhi, 2021-12)
    With the advent of big data, graphs have gained popularity as one of the most efficient data storage mechanisms. A graph can not only capture relationships between entities, but it can also store attributes associated with ...
  • A comprehensive understanding of code-mixed language semantics using hierarchical transformer 
    S, Tharun; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-05)
    Being a popular mode of text-based communication in multilingual communities, code-mixing in online social media has became an important subject to study. Learn- ing the semantics and morphology of code-mixed language ...
  • HostileNet: multi-label hostile post detection in Hindi 
    Bhardwaj, Mohit; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT- Delhi, 2021-07)
    The swift escalation in hostile content on the web and specifically on Online Social Media (OSM) has lately become a matter of concern that we must tackle. The situation worsens to a whole different level with recent events ...
  • Forecasting hate intensity of reply threads on twitter 
    Snehil; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT- Delhi, 2021-07)
    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 finds its way into an online ...
  • Multimodal sarcasm explanation 
    Desai, Poorav; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT- Delhi, 2021-08)
    Sarcasm is a pervading linguistic phenomenon and highly challenging to explain due to its subjectivity, lack of context and deeply-felt opinion. In the multimodal setup, sarcasm is conveyed through the incongruity between ...
  • A recommendation system involving human-in-the-loop to improve the quality of ontologies 
    Bhattacharyya, Pramit; Mutharaju, Vijaya Raghava (Advisor) (2020-07)
    Building an ontology is not only a time-consuming process, but it is also confusing, especially for beginners and the inexperienced. Although ontology developers can take the help of domain experts in building an ontology, ...
  • Real-time congestion detection using public transport data 
    Pandey, Yogesh; Goyal, Vikram (Advisor) (IIIT-Delhi, 2019-12)
    Congestion is one of the biggest problems which affects life quality and has an impact on social and economic conditions. Tackling traffic congestion has always been a challenge. The situation is more aggravated for ...
  • Spatio-temporal-history model : a deep learning model to predict traffic speed using public transport data 
    Gola, Nikhil; Goyal, Vikram (Advisor) (IIIT-Delhi, 2020-06)
    Traffic speed prediction is one of the challenging task and has many applications. Existing solutions either use crowd-sourced data or sophisticated technologies to perform the task, and hence are costly and unreliable. ...
  • Melody generation from lyrics using three branch conditional LSTM-GAN 
    Srivastava, Abhishek; Shah, Rajiv Ratn (Advisor); Yu, Yi (Advisor) (IIIT-Delhi, 2020-07)
    Automating the process of melody generation from lyrics has been a challenging research task in the field of artificial intelligence. Lately, however, music-related datasets have become available at large-scale, and with ...
  • Representing dimensional model in MongoDB 
    Gupta, Neha; Prakash, Naveen (Advisor) (IIIT-Delhi, 2020-05)
    Conventional data warehouse systems are implemented either on a multi-dimensional database or a relational database. While the earlier supports MOLAP operations, the other supports ROLAP operations. In this work, we used ...
  • An ontology design pattern recommendation system 
    Yasvi, Maleeha Arif; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2020-07)
    Ontologies evolve over time due to changes in the domain and the requirements of the application. Maintaining an ontology over time and keeping it up-to-date with respect to the changes in the domain and the requirements ...
  • Upper and lower bounds of various centrality measures on planar and sparse graphs 
    Bhattacharya, Sudatta; Bera, Debajyoti (Advisor) (IIIT-Delhi, 2020-08-03)
    In this thesis we address the problem of computing closeness centrality, Harmonic centrality and a few related centrality measures that operate on the shortest paths in a graph. We consider sparse graphs, especially ...
  • Applications of open transit data 
    Srivastava, Kshitij; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2020-06)
    The concept of open data has become quite popular in recent times among governments and public-facing organizations promoting transparency and collaboration. In a similar expedition, the Open Transit Data Platform for Delhi ...
  • Semi-supervised learning via triplet network based active learning 
    Sundriyal, Divyanshu; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-06)
    Deep learning systems require a large amount of labelled training dataset. However large amount of labelled data is not available in many cases as it requires considerable human effort to label each sample correctly. In ...
  • SWaP : meta analysis of static analyzer reports for accurate warning prioritization 
    Yadav, Khushbu; Purandare, Rahul (Advisor) (IIIT-Delhi, 2020-08)
    Java being designed in a flexible and user-friendly demeanour, makes it the most accepted programming language for the development of web applications and platforms. Due to the immense popularity, there comes the responsibility ...
  • Simultaneous detection of face attributes via multi-task learning 
    Sundriyal, Himanshu; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-06)
    Identifying face attributes is an ongoing problem of research which is used in bio-metrics, surveillance etc. In past, researchers have proposed methods which predict single facial attribute at a time. Real-time applications ...

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