Aparna Lalingkar

I am postdoctorate research fellow at Gooru Labs in Web Science Labs. Before joining Gooru Labs, I was a postdoctorate research fellow at University of Haifa, Israel under the fellowship of Planning and Budgeting Commission of Israeli Higher Education.

I am a mathematician and educational technologist with PhD in Information Technology. For my PhD I had proposed an ontology for teaching problem solving in mathematics. My research interest are: 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.

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

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

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

My LinkedIn profile can be accessed here

My ResearchGate profile can be accessed here 

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

Journal Publications:

  1. 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.  (Paper Link )
  2. 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 3 as per GoogleScholar) (Paper Link )
  3. 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 5 as per GoogleScholar citation index) (Paper Link )
  4. Lalingkar, A. (2007). Comprehensive Review of Research in Comparative Education, Perspectives in Education, Vol 23 (3), October 2007, PP. 249-257.
  5. 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.

Conference Publications:

  1. 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!
  2. 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 )
  3. 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 )
  4. 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 )

Chaitali Diwan

Chaitali Diwan is a PhD student at Web Science Lab, IIIT Bangalore. She holds a MTech in Data Science from IIIT Bangalore and B.E in Computer Science from VTU. Her research interests are web science, education technologies, NLP, multi-agent systems, semantic and web mining.

She has around 10 years of software development experience and has worked in MNCs like Samsung India Research Centre, Qwest Telecom Software Services and Accenture Services. She has majorly worked on web technologies, data-centric applications, data workflows during her tenure in the software industry.

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 (CROWNCOM 2017), Lisbon, Portugal. September 2017. pdf.


1 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.

Asha Subramanian

AshaProfilePicI am pursuing research in Data Science at the International Institute of Information Technology, Bangalore. The Semantic Web, Knowledge Representation and Inference problems over arbitrary data sets are my research interests. Currently, I am working largely on structured datasets and associated inferencing and interpretation of knowledge that can be gleaned from datasets on data.gov.in and other public domain. My focus is on developing unique models that can bring Knowledge Representation and Reasoning models, Semantic Web technologies, Machine Learning and Graph Networks together to better understand data
and it’s context.

Prior to entering academics, I was working in the industry. I have over 20 years of IT experience that includes Large Program Management in the Retail, Telecom and Financial domains spanning diverse technologies (Business Intelligence and Analytics, Custom Applications, Managed Services Engagements) worth multi-million dollar revenues & spread across multiple geographies, Customer Acquisition and Retention, Process & Product Quality Assurance across delivery units, Managing Competency Groups / Centre of Excellence and Stakeholder Management covering Finance & Legal units & Partner Ecosystems.

I am part of the Web Sciences Lab (WSL) at IIIT Bangalore. Please checkout linkedin profile for more details.

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Sharath Srivatsa

MyPic 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.

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Jaya Appukuttan

Jaya 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.

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Raksha P S

Raksha P S Raksha P.S is a PhD Student at Web Science Lab. She has a Master’s degree in Web Technology from PES Institute Of Technology, Bangalore and Bachelor’s degree in Computer Science from K S Institute Of Technology, Bangalore. Prior to joining IIITB she has worked as a Big Data Engineer at Cogknit Semantics Pvt Ltd, Bangalore. Previously she has worked on Ontology Based Semantic Data Validation, Big Data, Data Visualization using D3.js, Web Crawlers and Developing Learning Management System. Currently she is working on Characterizing online social cognition as a marketplace of opinions. For more, please visit her Linkedin Profile.

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