Year-2021: Recent submissions

  • Long document keyphrase extraction 
    Gautam, Dibya; Agrawal, Navneet (IIIT-Delhi, 2021-11)
    Keyphrase extraction is the task of automatically extracting a set of phrases from a document that represents the overall context of the given document. Such keyphrases can be used in multiple ways in Information retrieval, ...
  • Queer HCI in India 
    Rana, Bhavika; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2021-12)
    Academic work that looks at designing for queer populations has gained traction in the HCI community over the years but most of it is predominantly based in the Global North. This project responds to the call for work ...
  • Design and development of smartphone based health monitoring system 
    Kochar, Adwit Singh; Bansal, Pabitra; Singh, Rahul; Agrawal, Yashwin; Deb, Sujay (Advisor) (IIIT-Delhi, 2021-12)
    Critical health parameters such as SpO2 and Blood Pressure play a massive role in determining a person’s health condition, and hence their tracking and monitoring are essential. Currently, the problem with health monitoring ...
  • Privacy and security in online social media-studying political settings and protests in online space 
    Agrawal, Vibhu; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2021-12)
    India is a diverse country with very active politics. In recent times (2014-2021), a lot of polit- ical activities have stirred activities in the online space. These political activities range from Elections to Protests ...
  • Tools for educating maternal healthcare workers in rural areas 
    Aggarwal, Ira; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2021-12)
    Through its agship program of Community Health Workers or (CHWs), the Government of India appoints some the local people from the rural areas and trains them to make regular home visits to newly turned mothers and to provide ...
  • NLP based predictions in ICU 
    Bhatnagar, Akshala; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2021-05)
    Treatment notes from the pediatric ICU can be effectively used to construct a predictive model for the onset of shock with a lead time of 24 hours. If this disease is not diagnosed at an early stage, it can create multiple ...
  • IIIT Delhi - enterprise resource planning development 
    Singh, Dashmesh; Gautam, Gaurav; Sarda, Vaibhav; Ali, Adnan; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2021-05)
    ERP is an integral system in our Institute for managing academic data pertaining to students and professors. The current ERP system has certain issues in functionality, usability concerns, redundancies. We propose to ...
  • Fragmentation mitigation for C+L band in elastic optical networks 
    Singh, Abhishek Pratap; Mitra, Abhijit (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2021-05)
    The extensive growth in the demand for network bandwidth has created new challenges for net- work operators in the last few years. Traditional optical network technology is no longer enough to handle the massive bandwidth ...
  • Where and what to comment 
    Sharma, Abhinav; Purandare, Rahul (Advisor) (IIIT-Delhi, 2021-05)
    Commenting is described as the process of placing Human Readable Descriptions within a com- puter program/code that summarizes the functionality of the code within which the description is written. The strength of a good ...
  • Fairness in entity matching 
    Agrawal, Sankalp; Rawal, Jay; Mohania, Mukesh (Advisor); Padmanabhan, Deepak (Advisor) (IIIT- Delhi, 2021-05)
    Entity matching (EM) has been one of the long-standing challenges in databases domain. Tra- ditionally, the approaches for EM focuses on developing matching algorithms and works on pairwise similarity between attributes. ...
  • 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 ...
  • State representation learning for reinforcement learning setting 
    Thakral, Shubham; Anand, Saket (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT- Delhi, 2021-06)
    Most of the Reinforcement Learning(RL) tasks in today's world involve high dimensional data. Training deep reinforcement learning based models is already a very challenging task and varies lot with the choice of hyper ...
  • Recursive modeling for automated speech scoring 
    Bagga, Shaurya; Shah, Rajiv Ratn (Advisor) (2021-03)
    A lot of people are learning English around the world and take assessments every year. With the rise of candidates taking these assessments and the shortage of qualified experts rating these assessments, there is a need ...
  • Operationalizing the data quality framework : tindering datasets 
    Chug, Sezal; Kaushal, Priya; Kumaraguru, Ponnurangam (Advisor); Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2021-05)
    Data is expanding at an unimaginable rate, and with this development comes the responsibility of the quality of data. Data Quality refers to the relevance of the information present and helps in various operations like ...
  • Developing a clustering algorithm to analyse flow cytometric data 
    Vashisht, Piyush; Gupta, Anubha (Advisor) (IIIT- Delhi, 2021-05)
    The analysis of flow cytometry data requires identification of cell clusters. This clustering is done manually by applying gating techniques and by analyzing the plot scatter across each dimension. Since all of this is ...
  • Edge AI for 5G 
    Sahoo, Piyush Ranjan; Rajoria, Romesh; Darak, Sumit Jagdish (Advisor); PAU, Danilo (Advisor) (IIIT- Delhi, 2021-05)
    With recent advancements in AI algorithms, data processing for AI applications is primarily done in a cloud-based data center with deep-learning models that require massive computing capacity. The decision-making process ...
  • Fingerprinting fine-tuned language models in the wild 
    Diwan, Nirav; Chakraborty, Tanmoy (Advisor) (IIIT- Delhi, 2021-05)
    There are concerns that the ability of language models (LMs) to generate high quality synthetic text can be misused to launch spam, dis-information, or propaganda. Therefore, the re-search community is actively working on ...
  • Deployable dashboard for ICU models 
    Somannagari, Neha Reddy; Sethi, Tavpritesh (Advisor) (2021-05)
    Health care systems all around the world have an ever-growing burden of intensive care on them. Complications such as sepsis, organ failure and shock contribute to a large portion of the deaths. However they can be treated ...
  • Explainability of black box deep learning models and bias detection 
    Arora, Kushagr; Goyal, Vikram (Advisor) (IIIT- Delhi, 2021-05)
    Explanation of predictions made by black-box deep learning models has been rather challenging, especially when neither the model details nor its training data are known. Various techniques based on shadow-model have been ...
  • Analysis and modeling of content and coherence for automatic scoring of L2 speakers 
    Aggarwal, Gaurav; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    This study focuses on understanding content and coherence for Automated Oral Proficiency Scoring and Feedback Generating System in the context of spontaneous speech of non-native(L2) English learners. We aim to understand ...

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