2025
Apurva Kulkarni, Ifrah Abdul Khadar Ramadurg, Srinath Shrinivasa and Sanket Patil. “Introspecting Policy Documents through Semantic Lenses of Sustainable Development Goals”. In Proceedings of the Big-data-analytics in Astronomy, Science and Engineering (BASE) 2024, Lecture Notes in Computer Science (LNCS) series. [to appear]
Apurva Kulakrni, Riya Ptidar, Srinath Srinivasa and Sanket Patil. Semantic SDG-Mapper: Browser Extension for Mapping Sustainable Development Goals to Open Webpages. In Proceedings of the 8th Joint International Conference on Data Science & Management of Data (12th ACM IKDD CODS and 30th COMAD) (CODS-COMAD 2025). [to appear]
Sharath Srivatsa, Aparna M, Samarth P, Malavika V, and Srinath Srinivasa. 2025. Parichaya: Rural Colloquial Knowledge AI Interface. In Proceedings of the 8th Joint International Conference on Data Science & Management of Data (12th ACM IKDD CODS and 30th COMAD) (CODS-COMAD ’25). Association for Computing Machinery, New York, NY, USA. [to appear]
2024
Praseeda, Srinath Srinivasa. ” Gaining Insights into Learner’s Proficiency at Scale using the Learning Map” at T4E 2024, The International Conference on Technology for Education, IIT Gandhinagar, Dec 2024 [to appear]
Janvi Chhabra, Jayati Deshmukh, Arpitha Malavalli, Karthik Sama, Srinath Srinivasa. “Modeling the Dynamics of Identity and Fairness in Allocation Games.” In Proceedings of the 25th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2024), Kyoto, Japan, Nov 2024 (to appear).
Apurva Kulkarni, Srinath Srinivasa, and Sanket Patil. “SDG Aligned Data Warehouse Implementation over Open Government Data” at the DEXA, Electronic Government and the Information Systems Perspective (EGOVIS) 2024, Naples, Italy.
Janvi Chhabra, Karthik Sama, Jayati Deshmukh, and Srinath Srinivasa. “Evaluating computational models of ethics for autonomous decision making”. In: AI and Ethics 2024 (Aug. 2024), pp. 1–14. issn: 2730-5961. https://doi.org/10.1007/s43681-024-00532-4 [pdf]
Pooja Bassin, Abraham G K, Srinath Srinivasa. 2024. Design of a Data-driven Intervention Dashboard for SDG Localization. In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI’24) Jeju Island, South Korea.[link]
Niharika Sri Parasa, Chaitali Diwan, Srinath Srinivasa and Prasad Ram. 2024. An Automated Approach to Generating Conceptual Riddles. The 28th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Taipei, Taiwan, May 7-10,2024. [arXiv : https://arxiv.org/pdf/2310.18290.pdf]
Asilata Karandikar. 2024. What Makes Consent Meaningful? In 16th ACM Web Science Conference (Websci Companion ’24), May 21–24, 2024, Stuttgart, Germany. ACM, New York, NY, USA 5 Pages. https://doi.org/10.1145/3630744.3658616
Janvi Chhabra, Jayati Deshmukh and Srinath Srinivasa. 2024. Modelling the Dynamics of Subjective Identity in Allocation Games. In Proceedings of the 2024 International Conference on Autonomous Agents and Multiagent Systems (AAMAS ’24). [link]
Karthik Sama, Jayati Deshmukh and Srinath Srinivasa. 2024. Social Identities and Responsible Agency. In Proceedings of the 2024 International Conference on Autonomous Agents and Multiagent Systems (AAMAS ’24). [link]
Balambiga Ayappane, Rohith Vaidyanathan, Srinath Srinivasa, Santosh Kumar Upadhyaya, and Srinivas Vivek. 2024. Consent Service Architecture for Policy-Based Consent Management in Data Trusts. In Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD) (CODS-COMAD ’24). Association for Computing Machinery, New York, NY, USA, 155–163. https://doi.org/10.1145/3632410.3632415
Sharath Srivatsa, Aparna M, Sai Madhavan G, and Srinath Srinivasa. 2024. Knowledge Management Framework Over Low Resource Indian Colloquial Language Audio Contents. In Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD) (CODS-COMAD ’24). Association for Computing Machinery, New York, NY, USA, 553–557. https://doi.org/10.1145/3632410.3632483 .
2023
Bhoomika A P, Srinath Srinivasa, Vijaya Sarathi Indla, and Saikat Mukherjee. Vector-Based Semantic Scenario Search for Vehicular Traffic. International Conference on Big-Data-Analytics in Astronomy, Science and Engineering, BASE 2023, Springer LNCS.
Aparna, M., Srivatsa, S., Sai Madhavan, G., Dinesh, T.B., Srinivasa, S. (2024). AI-Based Assistance for Management of Oral Community Knowledge in Low-Resource and Colloquial Kannada Language. In: Sachdeva, S., Watanobe, Y. (eds) Big Data Analytics in Astronomy, Science, and Engineering. BDA 2023. Lecture Notes in Computer Science, vol 14516. Springer, Cham. https://doi.org/10.1007/978-3-031-58502-9_1
Mishra, P., Diwan, C., Srinivasa, S., Srinivasaraghavan, G.. AI based approach to trailer generation for online educational courses. CSIT (2023). https://doi.org/10.1007/s40012-023-00390-1
Pooja Bassin, Srinath Srinivasa, Mukund Raj. Representation and Intervention Constructs for SDG Localisation. Proceedings of the 1st International Conference on Artificial Intelligence Applications in Environmental, Social and Governance(AIESG), December 08-09, 2023 at IIM Bangalore. [link]
Pooja Bassin, Srinath Srinivasa, Mukund Raj. Addressing Modelling Challenges for SDG Localisation. International Conference on Sustainable Development (ICSD), September 18-20, 2023 [link]
Jayati Deshmukh, Nikitha Adivi, and Srinath Srinivasa. (2023). Resolving the Dilemma of Responsibility in Multi-agent Flow Networks. In: Mathieu, P., Dignum, F., Novais, P., De la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection. PAAMS 2023. Lecture Notes in Computer Science(), vol 13955. Springer, Cham. https://doi.org/10.1007/978-3-031-37616-0_7
Janvi Chhabra, Karthik Sama, Jayati Deshmukh, and Srinath Srinivasa. (2023). When Extrinsic Payoffs Meet Intrinsic Expectations. In: Mathieu, P., Dignum, F., Novais, P., De la Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection. PAAMS 2023. Lecture Notes in Computer Science(), vol 13955. Springer, Cham. https://doi.org/10.1007/978-3-031-37616-0_4
Sowmith Nandan Rachuri, Arpitha Malavalli, Niharika Sri Parasa, Pooja Bassin, Srinath Srinivasa. Modeling the Impact of Policy Interventions for Sustainable Development. IJCAI Macao 2023. Demo Track [link]
Jayati Deshmukh, Emergent Responsible Autonomy in Multi-Agent Systems. AAMAS 2023 Doctoral Consortium, London, UK, May 2023. [link]
Jayati Deshmukh, Nikitha Adivi and Srinath Srinivasa. Modeling Application Scenarios for Responsible Autonomy using Computational Transcendence. AAMAS 2023, London, UK, May 2023. [link]
Praseeda, “Representing assimilation patterns for learning”, LAK23: 13th International Learning Analytics and Knowledge Conference. Association for Computing Machinery, 272-278, March 2023, Arlington, Texas, USA.
Praseeda, M. N. Choudhury, B. S. Chadha and S. Srinivasa, “A Systematic Review of Online Learning Platforms for Computer Science Courses,” 2023 IEEE World Engineering Education Conference (EDUNINE), Bogota, Colombia, 2023, pp. 1-6, [ link ]
2022
Apurva Kulkarni, Pooja Bassin, Niharika Sri Parasa, Srinath Srinivasa, Vinu EV, Chandrashekar Ramanathan. Ontology Augmented Data Lake System for Policy Support. 10th International Conference on Big Data Analytics in Astronomy, Science and Engineering (BASE) December 05 – 07, 2022
Chaitali Diwan, Srinath Srinivasa, Gandharv Suri, Saksham Agarwal, Prasad Ram. “AI-based Learning Content Generation and Learning Pathway Augmentation to Increase Learner Engagement“, Computers and Education: Artificial Intelligence, 2022,100110,ISSN 2666-920X, doi: https://doi.org/10.1016/j.caeai.2022.100110.
Deshmukh J and Srinivasa S (2022) Computational Transcendence: Responsibility and agency. Front. Robot. AI 9:977303. doi: 10.3389/frobt.2022.977303
Pooja Bassin. “Network Learning on Open Data to aid Policy Making”, Ph.D. Symposium track at “41st International Conference on Conceptual Modeling (ER 2022) Online (Virtual), October 17-20, 2022”
Pooja Bassin, Srinath Srinivasa, Sridhar Mandyam. “A Data-driven Approach for Supporting Policy Intervention in Sustainable Development”. Theme “Connecting Science and Policy”, Track “Collaboration Models for the SDGs” at “International Conference on Sustainable Development, September 19-20, 2022 [Online]” Conference Proceedings can be found here
Niharika Sri Parasa, Chaitali Diwan and Srinath Srinivasa. “Automatic Riddle Generation for Learning Resources”. Proceedings of International Conference on Artificial Intelligence in Education (AIED), Durham University, UK, 2022.
Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa and G.Srinivasaraghavan. “A Semi-automatic approach for Generating Video Trailers for Learning Pathways”. Proceedings of International Conference on Artificial Intelligence in Education (AIED), Durham University, UK, 2022.
J. Deshmukh and S. Srinivasa, “Cooperation and the Globalization-Localization Dilemmas,” Complex Systems, 31(1), 2022 pp. 59–85.
https://doi.org/10.25088/ComplexSystems.31.1.59 [pdf]
Aparna Lalingkar, Vyom Audichya, Prakhar Mishra, Sridhar Mandyam and Srinath Srinivasa. Models for finding quality of affirmation and points of intervention in an academic discussion forum. Computers and Education: Artificial Intelligence, ISSN 2666-920X, 2022.
Aparna Lalingkar, Parithimalan A, Advait Lonkar, Prakhar Mishra, Sridhar Mandyam and Srinath Srinivasa. Discussion Forum Analyzer: A tool for finding the quality of affirmation and identifying points of intervention in an academic discussion forum. Demo Track at ACM IKDD Conference on Data Science and International Conference on Management of Data (CODS-COMAD), Bangalore, India, January 8-10, 2022.
2021
Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa and G.Srinivasaraghavan. Automatic Title Generation for Learning Resources and Pathways with Pre-trained Transformer Models. International Journal of Semantic Computing (IJSC), Volume No. 15, Issue No. 04, pp. 487 – 510, Year 2021.
Pooja Bassin, Niharikasri Parasa, Srinath Srinivasa, Sridhar Mandyam. Big Data Management for Policy Support in Sustainable Development. Proceedings of the 9th International Conference on Big Data Analytics in Science and Engineering (BASE 2021), Springer LNCS, Aizu, Japan, December 2021.
J. Deshmukh, S. Srinivasa and S. Mandyam, “What Keeps a Vibrant Population Together?,” Complex Systems, 30(3), 2021 pp. 347–373.
https://doi.org/10.25088/ComplexSystems.30.3.347 [pdf]
Srinath Srinivasa, Jayati Deshmukh. Legitimate Open-ended Dissemination of Personal Information. International Semantic Intelligence Conference (ISIC) 2021, New Delhi, India, February 25-27, 2021
Prakhar Mishra, Chaitali Diwan, Srinath Srinivasa and G.Srinivasaraghavan. Automatic Title Generation for Text with Pre-trained Transformer Language Model. 15th IEEE Interantional Conference on Semantic Computing, Virtual, January 27-29, 2021. [nominated for best paper award]
Shyam Kumar V N, Chaitali Diwan, Srinath Srinivasa and Prasad Ram. Creating Navigable Competency Maps from Learning Resource Corpora. International Conference on Data Science and Management of Data (CODS-COMAD) 2021, Bangalore, India, January 2-4, 2021.
Jayati Deshmukh, Raksha Pavagada Subbanarasimha, Pooja Bassin, Venkat Suprabath Bitra, Srinath Srinivasa and Anupama Sharma. An Interactive Simulator for COVID-19 Trend Analysis. Demo Track at International Conference on Data Science and Management of Data (CODS-COMAD) 2021, Bangalore, India, January 2-4, 2021.
2020
Gaurav Koley, Jayati Deshmukh, Srinath Srinivasa. Social Capital as Engagement and Belief Revision. Social Informatics – 12th International Conference, SocInfo 2020, Pisa, Italy, October 5–9, 2020. [Best paper award]
Raksha Pavagada Subbanarasimha, Srinath Srinivasa and Sridhar Mandyam, “Invisible Stories That Drive Online Social Cognition,” in IEEE Transactions on Computational Social Systems, vol. 7, no. 5, pp. 1264-1277, Oct. 2020, doi: 10.1109/TCSS.2020.3009474.
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).
2019
Aparna Lalingkar, Srinath Srinivasa, and Prasad Ram. (2019). Characterizing Technology-based Mediations for Navigated Learning, Advanced Computing and Communications, 3(2), ACCS Publication, pp. 33-47.
Chaitali Diwan, Srinath Srinivasa, and Prasad Ram. Automatic Generation of Coherent Learning Pathways for Open Educational Resources, In Proceedings of the Fourteenth European Conference on Technology Enhanced Learning (EC-TEL 2019), Springer LNCS, Delft, Netherlands, 16-19 September 2019.
Praseeda, Srinath Srinivasa and Prasad Ram “Validating the Myth of Average through Evidences” In: The 12th International Conference on Educational Data Mining, Michel Desmarais, Collin F. Lynch, Agathe Merceron, & Roger Nkambou (eds.) 2019, pp. 631 – 634
Raksha Pavagada Subbanarasimha. 2019. Designing the Cogno-Web Observatory: To Characterize the Dynamics of Online Social Cognition. In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (WSDM ’19). ACM, New York, NY, USA, 814-815. DOI: https://doi.org/10.1145/3289600.3291600.
2018
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.
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.
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.
Lalingkar. A., Srinivasa, S. and Ram, P. (2018). Deriving semantics of learning mediation, In Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies (ICALT), IEEE, 9th July to 13th July, IIT Bombay.
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).
Sumant Kulkarni, Srinath Srinivasa, Tahir Dar. 2018. Syncretic Matching: Story Similarity Between Documents. In Proceedings of ACM IKDD Conference on Data Science and International Conference on Management of Data, Goa, India, Jan 2018 (CODS-COMAD 2018).
2017
S. K. Gudla, J. Bose, V. Gajam and S. Srinivasa, “Relevancy Ranking of User Recommendations of Services Based on Browsing Patterns,” 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), Cancun, 2017, pp. 765-768. doi: 10.1109/ICMLA.2017.00-66
Lalingkar, A. (2017). Applet Ontology as a Tool for Automatic Assessment of Applet-based Assessment Tasks. Journal of Computers in Education, 1-19, https://doi.org/10.1007/s40692-017-0096-3
Asha Subramanian, Anmol Garg, Omang Poddar and Srinath Srinivasa. Towards Semantically Aggregating Indian Open Government Data from data.gov.in. Proceedings of the 16th International Semantic Web Conference (ISWC 2017), Posters and Demos, CEUR-WS, October 2017.
Anish Bhanushali, Raksha Pavagada Subbanarasimha, and Srinath Srinivasa. Identifying Opinion Drivers on Social Media. In Proceedings of ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Springer International Publishing, Cham, 242–253.
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.
2016
Asha Subramanian, Ved Kurien Mathai, Vikkurthi Manikanta, Janaki Vinesh Joshi and Srinath Srinivasa. Semantic Integration of Open Data Tables. Proceedings of the 15th International Conference on Ontologies, Databases and Applications of Semantics (ODBASE 2016), Rhodes, Greece, October 2016.
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. Tahir Ahmad Dar, Sumant Kulkarni, Srinath Srinivasa, and Ullas Nambiar. UCliDSS: An Unsupervised Clinical Decision Support System for Text. Proceedings of the 21st International Conference on Management of Data (COMAD 2016), March 11-13, 2016 Pune, India.
2015
Asha Subramanian. Inferencing in the Large: Characterizing Semantic Integration of Open Tabular Data. Doctoral Consortium of the International Semantic Web Conference (ISWC 2015), Pennsylvania, US, October 2015.
Anoop Kumar Pandey and Srinath Srinivasa. Entity Resolution using Co-occurrence Graph and Continuous Learning. In International Workshop on Applications in Information Technology (IWAIT 2015). University of Aizu Press, 2015.
Asha Subramanian, Srinath Srinivasa, Vignesh S, Pavan Kumar R R. Semantic Integration of Structured Data Powered by Linked Open Data. Proceedings of 5th International Conference on Web Intelligence, Mining and Semantics (WIMS 15), Limassol, Cyprus, July 2015.
Nirmal Kumar Sivaraman, Srinath Srinivasa. Abstractions, Expressions and Online Collectives. Proceedings of ACM Web Science 2015, Oxford University, UK, June 2015.
Jayati Deshmukh, Srinath Srinivasa. Evolution of Cooperation with Entrenchment Effects. Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2015), Istanbul, Turkey, ACM Press, May 2015.
Chinmay Jog, Sweety Agrawal, Srinath Srinivasa. Distributing a Trust Framework for Utilitarian Data Exchanges in Inter-Organizational Collaborations.Proceedings of the Second ACM iKDD Conference on Data Sciences (CoDS 2015), March 2015, Bangalore, India.
2014
MS Srinivasan, Srinath Srinivasa, Sunil Thulasidasan. A comparative study of two models for celebrity identification on Twitter. In proceedings of the 20th International Conference on Management of Data (COMAD 2014), Hyderabad, India, December 2014.
Sumant Kulkarni, Priyanka Shukla, Srinath Srinivasa. Akshaya: A Framework for Mining General Knowledge Semantics From Unstructured Text. Demo Paper in the 20th International Conference on Management of Data (COMAD 2014), Hyderabad, India, December 2014.
Sumant Kulkarni, Srinath Srinivasa. SortingHat: A Deep Matching Framework to Match Labeled Concepts. Demo Paper in the 20th International Conference on Management of Data (COMAD 2014), Hyderabad, India, December 2014.
Chinmay Jog, Sweety Agrawal, Srinath Srinivasa. RootSet: A Distributed Trust-based Knowledge Representation Framework For Collaborative Data Exchange. Demo Paper in the 20th International Conference on Management of Data (COMAD 2014), Hyderabad, India, December 2014.
Sweety Agrawal, Chinmay Jog, Srinath Srinivasa. Integrity Management in a Trusted Utilitarian Data Exchange Platform. Proceedings of the 13th International Conference on Ontologies, Databases and Applications of Semantics (ODBASE 2014), Amantea, Italy, October 2014.
Aditya Ramana Rachakonda, Srinath Srinivasa, Sumant Kulkarni, M S Srinivasan. A Generic Framework and Methodology for Extracting Semantics from Co-occurrences. Data & Knowledge Engineering, Elsevier, Volume 92, July 2014, Pages 39–59. DOI: 10.1016/j.datak.2014.06.002.
Sumant Kulkarni, Srinath Srinivasa, Jyotiska Nath Khasnabish, Karthikay Nagal, Sandeep Kurdagi. SortingHat: A Framework for Deep Matching Between Classes of Entities. Proceedings of 10th International Workshop on Information Integration on the Web (IIWeb 2014) co-located with ICDE 2014, Chicago, Illinois, USA, March 2014.
Srinath Srinivasa, Sweety Agrawal, Chinmay Jog and Jayati Deshmukh. Characterizing Open Utilitarian Knowledge. Proceedings of the First IKDD Conference on Data Sciences (CoDS 2014), New Delhi, India, March 2014.
Rajeev Arora, Srinath Srinivasa. A Faceted Classification of the Opinion Mining Landscape. COMSNETS Workshop on Science and Engineering of Social Networks (SCINSE), Bangalore, India, Jan 2014.
2013
Sumant Kulkarni, Srinath Srinivasa. TRIEIR: Indexing and Retrieval Engine for Kannada Unicode Text. Proceedings of ICADL 2013, Springer LNCS, Bangalore, India, Dec 2013.
Sweety Agrawal, Chinmay Jog, Srinath Srinivasa. A Semantic Data Mesh for Publishing of and Knowledge Aggregation from Open Data. Proceedings of NSDI 2013, Mumbai, India, Nov 2013 (editorial review).
Sweety Agrawal, Jayati Deshmukh, Srinath Srinivasa, Chinmay Jog, Sri Sayi Bhavani Kakarla, Rahul Dhek, Sneha Deshpande, Sana Javed and Vikas Mohandoss. A Survey of Indian Open Data. Proceedings of IBM ICARE 2013. ACM Press. New Delhi, India, Oct 2013.
M S Srinivasan, Srinath Srinivasa, Sunil Tulasidasan. Exploring Celebrity Dynamics on Twitter. Proceedings of IBM ICARE 2013. ACM Press. New Delhi, India. Oct 2013.
Sumant Kulkarni, Srinath Srinivasa, Rajeev Arora. Cognitive Modeling for Topic Expansion. Proceedings of ODBASE 2013, Springer LNCS, Graz, Austria, Sep 2013.
