Data Analytics & Network Science (DANeS) Lab at Department of Computer Science and Engineering, Indian Institute of Technology Patna has started its offical journey in August, 2014. We work on a very diverse set of real world problems involving social networks, computation journalism, digital libraries, healthcare as well as intelligent transportation systems. The core emphasis of our group is dealing with problems related to Network & Data Science along with Machine Learning and Artificial Intelligence techniques under the able guidance of three faculty members of IIT Patna, Dr. Joydeep Chandra, Dr. Abyayananda Maiti and Dr. Sourav Kumar Dandapat. We are interested in understanding the structure and dynamics of large networked system, mining social media, modeling of social networks, studying diffusion of information, identifying influentials. Application domains include journalism, disaster, healthcare and crimes on the Web. We are also working on link prediction, recommendation system, traffic flow prediction in big cities. Our group also consists of around twenty other members including research scholars, project members and M.Tech students of IIT Patna.
Name of the research project: HealthChain: Blockchain-Based Decentralized Framework with AI-based Predictive Capabilities for Tracking Long-Term Impact of Health Pandemic.
Interested and eligible candidates are strongly encouraged to apply. For more information about application process and essential qualification, please refer
here.
Positions are open in our lab for full-time Institute Ph.D. Fellows as well as Project Fellows. Eligible candidates who are interested and
motivated in pursuing full time Ph.D are strongly encouraged to apply. For more information about application process and essential qualification, please visit
here.
The candidates who are interested to work with our group please email your CV to
joydeep@iitp.ac.in.,
abyaym@iitp.ac.in and
sourav@iitp.ac.in. The core emphasis of our group is dealing with problems related to Network & Data Science along with Machine Learning and Artificial Intelligence techniques. For details of our current research please visit our
Research Area section.