BITS Pilani

  • Page last updated on Tuesday, October 02, 2018


Innovate. Achieve. Lead.

Sponsored project as Principal investigator

 1. Brain Computer Interface Project funded by Department of Science and Technology (DST), Govt. of India sponsored research project, titled “Home automation and smart wheel chair based on Electroencephalography (EEG) signals produced in brain
  A Brain-Computer Interface (BCI) is of great benefit to the differently abled, as it allows those with restricted freedom of movement to perform various actions which enable them to live an uncompromised, independent life. Such BCIs are possible by capturing and analysing electroencephalography (EEG) based potential responses to various stimuli. BCIs can be used for a host of activities, including cursor control, with spellers, to control wheelchairs and for home automation and control of various devices. A novel BCI-based home automation system and smart wheel chair that works with two responses - Steady State Visually Evoked Potential (SSVEP) and the eye-blink artifact is proposed. These two responses together facilitate a robust and efficient system that can serve the largest section of society to varying degrees. This system can be used without having to train the user in advance and is free from the fatigue and long delays usually associated with P300 or GUI-based systems.

2. Project Title: Protein-Ranking and Novel Intervention Strategies against Mycobacterium tuberculosis using Graph Theory and Bioinformatics Resources
Funding Agency:
Department of Science & Technology

One third of the world population is the carrier of Mycobacterium tuberculosis and each year millions of multidrug resistant cases are reported. This deadly pathogen is causing two million deaths every year, roughly one in twenty second. This bacterium is slow growing, very difficult to culture and remains dormant. Arsenal to fight this disease is very weak and antibiotic resistance is a serious threat to global health security because of global trade and travel. People suffering from tuberculosis become resistant to the first line drugs and so doctors are forced to move those patients to second line drugs. These second line drugs are six times expensive than the first line drugs, so fighting this disease is not going to be difficult but also very expensive, so the need of the hour is to find an efficient and novel intervention strategies to combat this deadly pathogen. Data driven-Knowledge based drug discovery, graph theory and Systems biology approaches are proving to be very significant in addressing the shortcomings of conventional drug targeting methods.
Systems Biology and Graph Theory: A Game Changer in Mycobacterial Network Analysis
The present research focus on the integrity and robustness of the fatty acid biosynthesis pathway in Mycobacterium tuberculosis. Betweenness centrality analysis will help in finding the most strategic node in the fatty acid network. Maximum damage to the fatty acid network of Mycobacterium can be achieved on removal of the most strategic or most influential node. Closeness centrality will help in finding the most important protein in the given network i.e. protein with maximum number of connections. Page rank is a connection analysis algorithm named after Larry Page, and used by Google Internet search engine. This will enable to prioritize proteins on the basis of linkage and finally explore its potential for suitable drug targets and can be  modified and used in biomolecular systems because of the similar scale free nature of networks like protein-protein interaction network and metabolic network in Mycobacterium tuberculosis

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