Publications

For an updated list of publications please visit my Google Scholar link

SleepSensei - An automated sleep quality monitor and sleep duration estimator


Abstract - SleepSensei is an automated sleep quality monitor and estimates the sleep duration for a user. It essentially builds a personalized model for determining the apt sleep duration for a given user. In our model, with the help of multiple inter-connected devices, we combine features related to user surroundings and those related to user movements during sleep. We use regression models in our system to calculate “sleep share” of a user, and report an MSE as low as 0.0041 when tested on 7 users, with more than a week’s data. We also develop a smart alarm based on the notion of “sleep quota” from the model. The alarm has an average precision of 0.87 from the survey conducted. We also present an in- depth feature analysis to give further insights of individual sleep behavior.

FeRoSA: A Faceted Recommendation System for Scientific Articles

Paper | Live Demo

Abstract - The overwhelming number of scientific articles over the years calls for smart automatic tools to facilitate the process of literature review. Here, we propose for the first time a framework of faceted recommendation for scientific articles (abbreviated as FeRoSA) which apart from ensuring quality retrieval of scientific articles for a query paper, also efficiently arranges the recommended papers into different facets (categories). Providing users with an interface which enables the filtering of recommendations across multiple facets can increase users’ control over how the recommendation system behaves. FeRoSA is precisely built on a random walk based framework on an induced subnetwork consisting of nodes related to the query paper in terms of either citations or content similarity. Rigorous analysis based an experts’ judgment shows that FeRoSA outperforms two baseline systems in terms of faceted recommendations (overall precision of 0.65). Further, we show that the faceted results of FeRoSA can be appropriately combined to design a better flat recommendation system as well.

Towards automating the generation of derivative nouns in Sanskrit by simulating Panini

Paper | Slides

About 1115 rules in Astadhyayi from A.4.1.76 to A.5.4.160 deal with generation of derivative nouns called as the Taddhita section owing to the head rule A.4.1.76. This section is a systematic arrangement of rules that enumerates various affixes that are used in the derivation under specific semantic relations. We propose a system that automates the process of generation of derivative nouns as per the rules in Astadhyayi. The proposed system follows a completely object oriented approach, that models each rule as a class of its own and then groups them as rule groups. The rule groups are decided on the basis of selective grouping of rules by virtue of anuvrtti. The grouping of rules results in an inheritance network of rules which is a directed acyclic graph. Every rule group has a head rule and the head rule notifies all the direct member rules of the group about the environment which contains all the details about data entities, participating in the derivation process.

Automatic Generation and Insertion of Assessment Items in Online Video Courses

Paper

In this paper, we propose a prototype system for automatic generation and insertion of assessment items in online video courses. The proposed system analyzes text transcript of a requested video lecture to suggest self-assessment items in runtime through automatic discourse segmentation and question generation. To deal with the problem of question generation from noisy transcription, the system relies on semantically similar Wikipedia text segments. We base our study on a popular video lecture portal - National Programme on Technology Enhanced Learning (NPTEL). However, it can be adapted to other portals as well.

SleepSensei - An automated sleep quality monitor and sleep duration estimator

Amrith Krishna, Madhumita Mallick and Bivas Mitra
In IoT of Health Workshop, Mobisys 2016

FeRoSA: A Faceted Recommendation System for Scientific Articles

Tanmoy Chakraborty, Amrith Krishna Mayank Singh, Niloy Ganguly, Pawan Goyal and Animesh Mukherjee.
In PAKDD 2016

Towards automating the generation of derivative nouns in Sanskrit by simulating Panini

Amrith Krishna, Pawan Goyal
In 16th World Sanskrit conference, Sanskrit and the IT world, 2015

Automatic Generation and Insertion of Assessment Items in Online Video Courses.

Amrith Krishna, Plaban Bhowmick, Archana Sahu, Krishnendu Ghosh, Subhayan Roy.
In Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, pp. 1-4. ACM, 2015.