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.
Gaurav is pursuing his Integrated M.Tech at IIIT Bangalore. He is currently working on a research project titled “Goodwill Currency” for quantifying goodwill on the Internet as a measure of time.
Gaurav is an regular Open Source Contributor and is a member of Zense @ IIIT-B. His interests lie in Data Science, Systems Design, Dev-Ops and Artificial Intelligence.
Aparna is a postdoctorate research fellow at Gooru Labs in Web Science Labs. Before joining Gooru Labs. Before joining Gooru 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)
- 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 )
- 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 )
- 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 )
- Lalingkar, A. (2007). Comprehensive Review of Research in Comparative Education, Perspectives in Education, Vol 23 (3), October 2007, PP. 249-257.
- 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.
- 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.
- 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!
- 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 )
- 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 )
- 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 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, 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), Springer LNCS, Valletta, Malta, October 22-26, 2018.
- 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.
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.
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.
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.
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. Her research interests are Web Science, Network Science, Data Mining and Social Cognition. For more, please visit her Linkedin Profile.