Category Archives: Sponsored Project

Sponsored projects at WSL.


Gooru honors the human right to education by creating technology that enables educators and researchers to “open-source” effective practices and content to improve learning outcomes for all.

The Gooru model of learning is a Computer Aided Instruction (CAI) environment that aims to provide effective, individualized learning experiences at scale, by utilizing both adaptive tutoring as well as community interactions. User interaction is modeled around a “Navigation” paradigm, where the subject matter is represented as learning activities scattered across a logical space called the “learning map.” Lessons are modeled as learning pathways in this logical space. The logical space metaphor enables the student to obtain different levels of overview of the subject matter by perusing the landscape, and understand semantic relatedness of topics based on their visual proximity. The learning map is also a social space, where students interact with other learners (other students, human tutors and teachers), rather than only an algorithmic agent.

The underlying paradigm of such a system is called a social machine. The social machine approach is characteristically different from both scalable classroom models like MOOCs and personalized learning environments like Intelligent Tutoring Systems

Sub Projects

Gooru – Narrative Arc towards Digital Empowerment

Narrative Arc is one of the research projects under the umbrella of research projects at Gooru Labs, IIITB.

In this research, we propose a methodology for providing self directed and personalised education to the individuals at a large scale. A characteristic property of personalisation is “elasticity” in the system, even though designed for the mythical average student, it needs to adapt to the actual individual student to various degrees.

We propose a model to automatically generate “learning pathways” between different competencies or topics. The learning pathways are a sequence of competencies that learners can take to reach their learning goal. These learning pathways can be selected and personalised to each student according to their zone of proximal development, profiles and preferences, forming a “Narrative Arc”.

The Narrative Arc refers to the semantic structure of a sequence of learning activities suggested to the user for learning. The suggested sequence of learning activities that are presented to the user need to result in a coherent narrative and it should be engaging to the user for a greater learning experience.  A Narrative Arc hence comprises of two elements: Semantic coherence and Cognitive engagement.

Following link has the presentation for the project in RISE 2019 workshop held at IIITB on 14-16 Feb 2019. The title of the presentation is “Narrative Arc Computation towards Digital Empowerment”.

  • Lead Researcher
  • Current Project Members
    • Rochan Avlur ( Intern)
    • Niharika Chaudhari (Intern)
  • Previous Project Members
    • Nikhil Bukka Sai
    • Vibhav Agarwal
    • Abhiramon R
    • Sanket Kutumbe
    • Karan Kumar Gupta
    • Srinivasan P.S
  • Publications
    • Chaitali Diwan, Srinath Srinivasa, and Prasad Ram. Computing Exposition Coherence of Learning Resources, In Proceedings of The 17th International Conference on Ontologies, Databases and Applications of Semantics (ODBASE 2018), Valletta, Malta, October 22-26, 2018, Springer International Publishing.

Co-creation of a Center of Excellence in Big Data Engineering

This project aims to establish a collaboration between the International Institute of Information Technology (IIIT-B), with City University London, as the UK partner and Siemens Research, India, as the industry partner, to set up a centre of excellence in Big Data Engineering. With emerging trends like Web Science and the Internet of Things, expertise in Big Data is going to be in high demand in the future. As part of our initiatives to create a talent pool of research and engineering expertise, IIIT-B has collaborated with several partners in this area on specific projects. This project aims to consolidate our disparate activities in this area and create a Centre of Excellence in Big Data Engineering. The term “Big Data” is defined here to mean any kind of data management problem for which, conventional RDBMS based solutions are inadequate. The “Big” refers to not just the volume of data, but also challenges concerning variety, veracity and velocity of the data.


  • Dr. Srinath Srinivasa IIIT Bangalore
  • Prof Muttukrishnan Rajarajan, City University, Northampton Square , London,
    United Kingdom
  • Dr. Amarnath Bose, Siemens Technology and Service, Bangalore
  • Praseeda , Research Scholar, IIIT Bangalore
  • Raksha, Research Scholar, IIIT Bangalore
  • Anish, Mtech. Thesis Student, IIIT Bangalore


  • A two day workshop on Big Data on April 18th and 19th at IIIT Bangalore

Associated Projects




  • Srinivasa S., Pavagada Subbanarasimha R. (2018) Design of the Cogno Web Observatory for Characterizing Online Social Cognition. In: Anirban Mondal, Himanshu Gupta, Jaideep Srivastava, P.Krishna Reddy, D.V.L.N. Somayajulu. (eds) Big Data Analytics. BDA 2018. Lecture Notes in Computer Science. Springer, Cham. (To appear)
  • Raksha Pavagada Subbanarasimha, Lokesh Todwal, Mamillapalli Rachana, Aditya Naidu, and Srinath Srinivasa. 2018. Mithya: A Framework For Identifying Opinion Drivers On Social Media. Demo at ACM IKDD Conference on Data Science and International Conference on Management of Data, Goa, India, Jan 2018 (CODS-COMAD 2018).
  • Anish Bhanushali, Raksha Pavagada Subbanarasimha, and Srinath Srinivasa. 2017. Identifying Opinion Drivers on Social Media. In On the Move to Meaningful Internet Systems. OTM 2017 Conferences: Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part II. Springer International Publishing, Cham, 242–253.


Sponsors and Collaborators: Horizon 2020, European Commission

Time Frame: Jan 2016 – Dec 2020

Status – Active

The REACH project aims to develop solution to avail the provision for high speed Internet access in rural India using unlicensed TV white space spectrum and designing the Geolocation database for it. With the wide increase of population and use of Internet in India, the efficient utilization and management of spectrum is needed. The utilization of TV white space spectrum is emerging as a best alternative to fulfill this need since there are many unused channel in TV spectrum due to migration from analog to digital transmission technology.

At IIIT-B, we are working on Distributed Algorithms for Spectrum Assignment for White Space Devices. Spectrum assignment for devices in white-space spectrum is challenging due to the fact that, white-space spectrum has temporal and spatial variations and is most often fragmented. We have created an autonomous agent model for spectrum assignment of white space devices at a given location. Each white space device (WSD) acts autonomously out of self-interest, choosing a strategy from its bag of strategies. It obtains a payoff based on its choice and choices made by all other agents. WSDs interact with each other using a central shared memory located at a “Master” device. Based on payoffs received by different strategies, WSDs evolve their strategic profile over time. This has the effect of “demographic changes” in the population. The system is said to have reached a state of equilibrium (or, in a state of evolutionary best-response) when the demographic profile stabilises. The system is trained on different load profiles to compute their respective evolutionary best responses.

Project Outcomes

  1. Chaitali Diwan. Autonomous Spectrum Assignment of White Space devices. MTech thesis. June 2016.
  2. Chaitali Diwan, Srinath Srinivasa, Bala Murali Krishna. Autonomous Spectrum Assignment of White Space Devices. Proceedings of the 12th EAI International Conference on Cognitive Radio Oriented Wireless Networks. Lisbon, Portugal. September 2017.
  3. Simulation dashboard for autonomous spectrum allocation algorithm

Other Relevant Links


An Open Architecture for Smart Cities

Sponsor and Collaborator: Siemens India

Time Frame: May 2015 — Apr2016

Status: Active

Smart cities are an upcoming area of growth in the region and provide a large gamut of technical challenges in the area of wide area distributed sensing and processing. A significant part of these challenges can be addressed by leveraging upcoming technologies in the fog computing area where edge devices not only collect data and provide control signals but perform local optimizations based on global optimization requirements. However, to implement rapid growth of smart campus/city requires applications. These applications may be on different devices, software, middleware etc. As a result, this heterogeneity is a huge challenge at present to integrate to available system, collect data etc. Hence, one needs to develop a platform agnostic to above complex heterogeneous environment.

This provides an opportunity for both Siemens and IIIT Bangalore to create an open platform to share data and expose relevant APIs using which smart applications can be built by anyone.

Establishing a Web Science Research Centre and a Web Observatory in India

Time Frame: June 2015 — May 2016

Sponsor: UK Royal Academy of Engineering (Newton Research Collaboration Programme)

Collaborator: University of Southampton, UK

Status: Active

The Web Science Trust (WST) is a charitable body, originally founded as a collaboration between the University of Southampton and the Massachusetts Institute of Technology, Boston. It’s aims include articulating a global research agenda for studying the growth and impact of the World Wide Web on humanity in general. An important element of this is the Web Observatory (WO) Project, which aims to create a global grid of datasets pertaining to the Web and its use, coming from different parts of the world. This proposal aims to extend the WO grid to India, beginning with IIIT Bangalore as the collaboration partner. This collaboration also aims to nurture research excellence in the Web Sciences in India. Given that India constitutes the third largest, and one of the fastest growing bases for Web users across the world, the proposed collaboration assumes critical significance to meet a pressing need that is likely to emerge over the years.


Aastha Madaan, Tiropanis Thanassis, Srinath Srinivasa, Wendy Hall. Observlets: Empowering Analytical Observations on Web Observatory, WWW’16 Companion Volume, April 11–15, 2016, Montréal, Québec, Canada.