Shyam Kumar V N

Shyam is a Part-time MS by Research student at Web Science Lab, IIIT Bangalore. He holds a PG Diploma in Data Analytics from IIIT Bangalore & UpGrad and a B.E in Computer Science and Engineering from VTU. He has around 4 years of industry experience and has worked in Hewlett Packard Enterprise (now DXC Technologies) as a Data Engineer and is currently employed at Societe Generale Global Solution Centre. He works in the areas of Data Warehousing, Big Data & Analytics, Machine Learning.

His research interests are Natural Language Understanding, Natural Language Processing, Knowledge representation and management, Data Governance.

Prakhar Mishra

Prakhar Mishra is a Full-time MS by Research student at WSL, IIIT-Bangalore. He holds a bachelors degree in CSE from The LNM Institute of Information Technology, Jaipur. He has a total industry work experience of 3 years in the field of Data Science, particularly in NLP and Text Analytics. His areas of interest includes Unsupervised Learning, Natural Language Understanding and Generation. He also owns a blog which you can find here.

For more, please visit his LinkedIn profile.


  1. Song year prediction using Apache Spark published in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Pooja Bassin

I am working as a Research Associate at Web Science Lab, IIIT Bangalore. I have done my Master of Technology in Computer Science and Master of Computer Applications from Banasthali Vidyapith, Jaipur. I have a total of 4 years of teaching experience.

My research interests are Natural Language Processing, Data Mining, Semantic Web.

Naman Churiwala

Naman Churiwala is a Research Assistant at Web Science Lab, IIIT Bangalore. He holds a B.Tech in Material Science from IIT Kanpur. His research interests include Computer Vision in Medical Images, Speech Recognition and Knowledge Graphs.

He has one year of industry experience at Quantiphi Analytics, where he worked on Medical Image Classification, Automated Drug Discovery, and Toxicity Prediction of Molecules.

Aparna Lalingkar

Aparna is a postdoctorate research fellow in Web Science Labs. She is working on social learning paradigm of Navigated Learning. Along with her research, she is working as research program manager for Mphasis CoE for Cognitive Computing. For a year she had also worked as a research project manager on Gooru project. Before joining Web Science labs, She was a postdoctorate research fellow at University of Haifa, Israel under the fellowship of Planning and Budgeting Commission of Israeli Higher Education.

She is a mathematician and educational technologist with PhD in Information Technology. For PhD she had proposed an ontology for teaching problem solving in mathematics. Her research interest include: application of Information Technology to Education specifically mathematics and science education, application of semantic web technology to education, ontological engineering and management, online assessment, automation of applications, educational technology and management.

She earned an MPhil in math education research from Cambridge University, UK and have received several academic fellowships and awards including HP Labs fellowship for PhD, DFID & CCT fellowship for MPhil.

She has wide range of teaching and work experience. She has taught to tribal students as well as intellectually gifted students. She has also taught graduate level and master’s level students. During PhD at IIITB, she has mentored MTech students for some projects.

She  is also interested in social work, Indian culture and ancient Indian knowledge. She has worked as a Sevavrati for Vivekanand Kendra in the North Eastern region of India. She had worked as a joint secretary for Vivekanand Kendra Pune and during her association with VK, she had organized youth camps, personality development camps, conducted workshops and delivered lectures on life and work of Swami Vivekananda. She is a voracious reader in both Marathi and English and write regularly blog articles as well as articles in newspapers and magazines in Marathi and some times in English.

Her LinkedIn profile can be accessed here

Her ResearchGate profile can be accessed here

Publications: (Publications can be downloaded from my ResearchGate profile)

Journal Publications:

  1. Aparna Lalingkar, Srinath Srinivasa, PrasadRam (2019), Characterization of Technology-based Mediations for Navigated Learning, Advanced Computing and Communications, Vol 3 (2), June 2019, ACCS  Publications, pp. 33-47. (Paper Link)
  2. Lalingkar, A. (2017). Applet Ontology as a Tool for Automatic Assessment of Applet-based Assessment Tasks, Journal of Computers in Education, Vol 5 (1), Dec 2017.  (Cited by 2 as per GoogleScholar citation index) (Paper Link )
  3. Lalingkar, A.; Chandrashekar, R. & Ramani, S. (2015). MONTO: Machine Readable Ontology for Teaching Word Problems in Mathematics, Journal of Educational Technology and Society, Vol 18 (3), July 2015, pp. 197-213. (SSCI indexed journal with 5-year impact factor of 1.34 as per Thomson Scientific Journal Citations Reports, and with Google Scholar h5-index of 39) (Cited by 6 as per GoogleScholar) (Paper Link )
  4. Lalingkar, A.; Chandrashekar, R. & Ramani, S. (2014). Ontology-based Smart Learning Environment for Teaching Word Problems in Mathematics, Journal of Computers in Education, 1 (4), December 2014, Springer, pp. 313-334. (Cited by 11 as per GoogleScholar citation index) (Paper Link )
  5. Lalingkar, A. (2007). Comprehensive Review of Research in Comparative Education, Perspectives in Education, Vol 23 (3), October 2007, PP. 249-257. (Paper Link)
  6. Lalingkar, A. (2007). Comparison of geometry curricula with respect to objectives and content in India and England for the age group 14 to 16 years, Perspectives in Education, Vol 23 (2), April 2007, pp. 122-129. (Paper Link)

Conference Publications:

  1. Lalingkar, A., Mishra, P., Mandyam, S., Pattanayk, J. and Srinivasa, S. (2020), Building a Model for Finding Quality of Affirmation in a Discussion Forum, In Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies (ICALT), IEEE, 6th July to 9th July, Turtu, Estonia (Digital Conference). (Paper Link)
  2. Lalingkar, A.; Srinivasa, S. & Ram, P. (2018). Deriving Semantics of Learning Mediations, In Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies (ICALT), IEEE, pp. 54-55. (Cited by 1 as per GoogleScholar citation index) (Paper Link)
  3. Lalingkar, A.; Chandrashekhar, R. & Ramani, S. (2014). Ontology-based Smart Learning Environment for Teaching Word Problems in Mathematics, In G. Chen, V. Kumar, Kinshuk, R. Huang & S. C. Kong (Eds) Emerging Issues in 3 Smart Learning, Lecture Notes In Educational Technology, Berlin Heidelberg, pp. 251-258. (Cited by 4 as per GoogleScholar citation index) This paper has won the best paper award!
  4. Lalingkar, A.; Chandrashekhar, R. & Ramani, S. (2011). An Educational Resources Broker System for Collaborative Sharing of Knowledge-Centric Content, In the Proceedings of International Conference on Technology for Education, July 14-16, 2011, Chennai, India. (Cited by 1 as per GoogleScholar citation index) (Paper Link )
  5. Lalingkar, A., & Ramani, S. (2010). A Web-based Study Facilitation System. In the Proceedings of ED-MEDIA 2010: World Conference on Educational Multimedia, Hypermedia and Telecommunications, June 28- July 2, 2010, Toronto, Canada. (Cited by 3 as per GoogleScholar citation index) (Paper Link )
  6. Lalingkar, A., & Ramani, S. (2009). A Student’s Assistant for Open e-learning. In the Proceedings of T4E’09: International Conference on Technology for Education, August 4-6, 2009, Bangalore, India, 62-67. (Cited by 4 as per GoogleScholar citation index) (Paper Link )

Anurag Mohanty

Anurag is a MS Research (Part-time) Student at Web Science Lab, IIT- Bangalore.His research interests are in Cognitive computing, Semantic analysis, NLP, Knowledge and Learning systems.

He has around 14+ years of working Industry Experience in Software Development, Solution Architecture, Machine Learning and Data Science. He is currently working as a Data Scientist in IBM Pvt. Ltd. His prior formal education background includes B.E. in Computer Science and MBA (Finance).

Sharath Srivatsa

Sharath Srivatsa is a MS by Research (part-time) student at Web Science Lab. He has Bachelor’s degree in Information Science and Engineering from B.M.S. College of Engineering, Bangalore. He has 12 years of work experience in software development using Web Technologies and from past 3 years he is working in Data Analytics projects with current employer. He has worked on Sentiment Analysis using Natural Language Processing (NLP), Web Crawlers and Big Data. His areas of interest include Natural Language Understanding (NLU), Natural Language Processing (NLP) and Web Science. For more, please visit his Linkedin Profile.

Course work

  • Distributed Computing (CS/DS 702)
    • Project report: Analysis of Distributed Snapshot Algorithms pdf
  • Data Analytics (DS 707)
  • Network Science for the web (DS 608)
  • Foundations for Big Data Algorithms (CS/DS 812)


  1. Sharath Srivatsa, Srinath Srinivasa. Narrative Plot Comparison Based on a Bag-of-actors Document Model in Proceedings of the 29th ACM Conference on Hypertext and Social Media (ACM HT’18), Baltimore, USA, ACM Press, July 2018.

Academic Magazine Articles

  1. Sharath Srivatsa, Shyam Kumar V N, Srinath Srinivasa. The Story Of Computational Narratology. In Quaterly Publication of  “Advanced Computing and Communications Society” (ACCS), December, 2018.

Jaya Appukuttan

Jaya is a PhD (part-time) student at Web Science Lab. She holds a M.Tech in Computer & Information Science and B.Tech in Computer Science & Engineering from Cochin University of Science & Technology (CUSAT), Cochin. She has been working at the Centre for Artificial Intelligence and Robotics (CAIR), Bangalore since 2009. She has worked on the design and development of systems based on Natural Language Text Processing and Knowledge Management technologies. Currently she is working on semantic summarization from user generated text reports. Her research interests include: Natural Language Text Processing with emphasis on Information Extraction and summarization, Knowledge Representation and Machine Learning.


I am pursuing research from International Institute of Information Technology, Bangalore. I am interested in Information Retrieval, Data mining, Modelling real world data.

I have worked in Manipal Institute of Technology as Assistant professor for 2.5 years. I completed my masters from IIIT Bangalore specializing in database and information systems.

I am part of the Web Sciences Lab (WSL) at IIIT Bangalore.