Dr Thushari Atapattu Mudiyanselage

• Appointments

  Date	Position	Institution name
  2017 - ongoing	Lecturer	University of Adelaide
  2015 - ongoing	Post-doctoral Research Fellow	University of Adelaide
  2010 - 2015	Software Engineer	Globe Medical

• Awards and Achievements

  Date	Type	Title	Institution Name	Country	Amount
  2017	Award	Adelaide Women's Research Excellence Award	University of Adelaide	Australia	$5000
  2015	Recognition	Dean's Commendation for Doctoral Thesis Excellence	University of Adelaide	Australia	-
  2013	Nomination	Google Anita Borg scholarship	Google	-	-
  2012	Award	Google PhD Travel Award	Google	-	$2500
  2011	Scholarship	University of Adelaide PhD scholarship	University of Adelaide	Australia	-

• Education

  Date	Institution name	Country	Title
  2011 - 2014	University of Adelaide	Australia	Doctor of Philosophy
  2004 - 2008	University of Colombo	Sri Lanka	Bachelor of Computer Science (Hons)

• Research Interests

  Computational Linguistics Educational Technology and Computing Information Retrieval and Web Search Learning Sciences Natural Language Processing

• Journals

  Year	Citation
  2023	Sridhara, A., Falkner, N., & Atapattu, T. (2023). Leveraging Inference: A Regression-Based Learner Performance Prediction System for Knowledge Tracing. IEEE Access, 11, 123458-123475. DOI
  2022	Atapattu, T., Herath, M., Elvitigala, C., de Zoysa, P., Gunawardane, K., Thilakaratne, M., . . . Falkner, K. (2022). EmoMent: An Emotion Annotated Mental Health Corpus from two South Asian Countries. Proceedings - International Conference on Computational Linguistics, COLING, 29(1), 6991-7001. Scopus5
  2020	Atapattu, T., Falkner, K., Thilakaratne, M., Sivaneasharajah, L., & Jayashanka, R. (2020). What Do Linguistic Expressions Tell Us about Learners' Confusion? A Domain-independent Analysis in MOOCs. IEEE Transactions on Learning Technologies, 13(4), 878-888. DOI Scopus14 WoS4
  2019	Prana, G. A. A., Treude, C., Thung, F., Atapattu, T., & Lo, D. (2019). Categorizing the Content of GitHub README Files. Empirical Software Engineering, 34(3), 1296-1327. DOI Scopus86 WoS53
  2019	Atapattu, T., Thilakaratne, M., Vivian, R., & Falkner, K. (2019). Detecting cognitive engagement using word embeddings within an online teacher professional development community. Computers and Education, 140, 14 pages. DOI Scopus45 WoS21
  2019	Thilakaratne, M., Falkner, K., & Atapattu Mudiyanselage, T. (2019). A systematic review on literature-based discovery workflow. PEERJ COMPUTER SCIENCE, 5, 40 pages. DOI Scopus31 WoS18 Europe PMC12
  2019	Thilakaratne, M., Falkner, K., & Atapattu Mudiyanselage, T. (2019). A systematic review on literature-based discovery: General overview, methodology, & statistical analysis. ACM Computing Surveys, 52(6), 34 pages. DOI Scopus41 WoS18
  2018	Atapattu, T., & Falkner, K. (2018). Impact of Lecturer's Discourse for Student Video Interactions: Video Learning Analytics Case Study of MOOCs. JOURNAL OF LEARNING ANALYTICS, 5(3), 182-197. DOI WoS14
  2017	Atapattu, T., Falkner, K., & Falkner, N. (2017). A comprehensive text analysis of lecture slides to generate concept maps. Computers and Education, 115, 96-113. DOI Scopus58 WoS36

• Conference Papers

  Year	Citation
  2024	Mahdi, M. D., Atapattu, T., & Thilakaratne, M. (2024). Advancing Community Directories: Leveraging LLMs for Automated Extraction in MARC Standard Venue Availability Notes. In ALTA 2024 - Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association (pp. 118-129). Canberra: Association for Computational Linguistics (ACL).
  2021	Atapattu, T., Herath, M., Zhang, G., & Falkner, K. (2021). Automated Detection of Cyberbullying AgainstWomen and Immigrants and Cross-domain Adaptability. In Proceedings of the Australasian Language Technology Workshop Vol. 18. Virtual, Online: Australasian Language Technology Association.
  2020	Thilakaratne, M., Falkner, K., & Atapattu Mudiyanselage, T. (2020). Connecting the Dots: Hypotheses Generation by Leveraging Semantic Shifts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12085 LNAI (pp. 328-340). Switzerland: Springer. DOI Scopus1
  2020	Treude, C., Middleton, J., & Atapattu Mudiyanselage, T. (2020). Beyond accuracy: Assessing software documentation quality. In Proceedings of the 28th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020) (pp. 1509-1512). New York, NY, United States: Association for Computing Machinery (ACM). DOI Scopus19 WoS6
  2020	Thilakaratne, K., Falkner, K., & Atapattu Mudiyanselage, T. (2020). Information extraction in digital libraries: First steps towards portability of lbdworkflow. In Proceedings of the 2020 ACM/IEEE Joint Conference on Digital Libraries (JCDL) (pp. 345-348). online: ACM. DOI Scopus2
  2020	Atapattu Mudiyanselage, T., Falkner, K., & Thilakaratne, K. (2020). Garbage in, garbage out? an empirical look at information richness of lbd input types. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL) (pp. 369-372). online: ACM. DOI
  2020	Herath, M., Atapattu, T., Dung, H. A., Treude, C., & Falkner, K. (2020). AdelaideCyC at SemEval-2020 Task 12: Ensemble of Classifiers for Offensive Language Detection in Social Media. In Proceedings of the Fourteenth Workshop on Semantic Evaluation (pp. 1516-1523). Barcelona, Spain (online): ASSOC COMPUTATIONAL LINGUISTICS-ACL. Scopus4
  2020	Sivaneasharajah, L., Atapattu, T., & Falkner, K. (2020). Linguistic Changes across Different User Roles in Online Learning Environment. What do they tell us?. In A. N. Rafferty, J. Whitehill, C. Romero, & V. Cavalli-Sforza (Eds.), Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020) (pp. 667-671). Montreal, Canada: International Educational Data Mining Society.
  2020	Sivaneasharajah, L., Falkner, K., & Atapattu, T. (2020). Investigating Students’ Learning in Online Learning Environment. In A. N. Rafferty, J. Whitehill, C. Romero, & V. Cavalli-Sforza (Eds.), Proceedings of the 13th International Conference on Educational Data Mining, EDM 2020 (pp. 806-809). Online: Institute of Education Sciences.
  2018	Thilakaratne, M., Falkner, K., & Atapattu, T. (2018). Automatic detection of cross-disciplinary knowledge associations. In ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop (pp. 45-51). online: Association for Computational Linguistics. DOI Scopus5
  2017	Atapattu, T., & Falkner, K. (2017). Discourse analysis to improve the effective engagement of MOOC videos. In ACM International Conference Proceeding Series (pp. 580-581). online: ACM. DOI Scopus10 WoS4
  2016	Atapattu Mudiyanselage, T., & Falkner, K. (2016). A framework for topic generation and labeling from MOOC discussions. In Proceedings of the Third (2016) ACM Conference on Learning @ Scale (pp. 201-204). NY, USA: ACM New York. DOI Scopus22 WoS15
  2016	Atapattu Mudiyanselage, T., Falkner, K., & Tarmazdi, H. (2016). Topic-wise classification of MOOC discussions: a visual analytics approach. In T. Barnes, M. Chi, & M. Feng (Eds.), Proceedings of the 9th International Conference on Educational Data Mining (pp. 276-281). Raleigh, NC, USA: IEDMS. Scopus28
  2015	Atapattu, T., Falkner, K., & Falkner, N. (2015). Educational question answering motivated by question-specific concept maps. In C. Conati, N. Heffernan, A. Mitrovic, & M. Verdejo (Eds.), Artificial Intelligence in Education, 17th International Conference, AIED 2015 Vol. 9112 (pp. 13-22). Madrid, Spain: Springer. DOI Scopus8 WoS8
  2015	Atapattu, T., Falkner, K., & Falkner, N. (2015). Task-adapted concept map scaffolding to support quizzes in an online environment. In Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education Vol. 2015-June (pp. 272-277). Vilnius, Lithuania: Association for Computing Machinery. DOI Scopus1 WoS1
  2015	Atapattu Mudiyanselage, T., Falkner, K., & Falkner, N. (2015). An evaluation methodology for concept maps mined from lecture notes: an educational perspective. In S. Zvacek, M. Restivo, J. Uhomoibhi, & M. Helfert (Eds.), Communications in Computer and Information Science Vol. 510 (pp. 68-83). Barcelona, Spain: Springer International Publishing. DOI Scopus1 WoS1
  2014	Atapattu Mudiyanselage, T., Falkner, K., & Falkner, N. (2014). Evaluation of concept importance in concept maps mined from lecture notes: computer vs human. In S. Zvacek, M. Restivo, J. Uhomoibhi, & M. Helfert (Eds.), Proceedings of the 6th International Conference on Computer Supported Education Vol. 2 (pp. 75-84). Barcelona, Spain: SciTePress. DOI Scopus9
  2014	Atapattu Mudiyanselage, T., Falkner, K., & Falkner, N. (2014). Acquisition of triples of knowledge from lecture notes: a natural language processing approach. In Stamper, J., Pardos, Z., & M. Mavrikis (Eds.), Proceedings of the 7th International Conference on Educational Data Mining (pp. 193-196). London, United Kingdom: International Educational Data Mining Society (IEDMS).
  2012	Atapattu Mudiyanselage, T., Falkner, K., & Falkner, N. (2012). Automated extraction of semantic concepts from semi-structured data: supporting computer-based education through the analysis of lecture notes. In Proceedings of the 23rd International Conference on Database and Expert Systems Applications, DEXA 2012 Vol. 7446 LNCS (pp. 161-175). Germany: Springer-Verlag. DOI Scopus8
  2009	Atapattu, T., & De Zoysa, K. (2009). v-Learning: Using voice for distant learning in emerging regions. In CSEDU 2009 - Proceedings of the 1st International Conference on Computer Supported Education Vol. 1 (pp. 217-222).

• Conference Items

  Year	Citation
  2012	Atapattu, T. (2012). Automated generation of practice questions from semistructured lecture notes. Poster session presented at the meeting of ICER'12 - Proceedings of the 9th Annual International Conference on International Computing Education Research. ACM. DOI

2019 (Semester 2): COMP SCI 1106 - Introduction to Software Engineering

2017 (Semester 1): COMP SCI 7098 - Master of Computing & Innovation Project

2017 (Semester 2): COMP SCI 1106 - Introduction to Software Engineering

• Current Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2022	Co-Supervisor	Cyberbullying Causes Detection and Model Advancement through User Knowledge Integration	Doctor of Philosophy	Doctorate	Full Time	Isuru Mahagani Arachchige
  2020	Co-Supervisor	A Framework for Enhancing the Student Experience Through Automated Analysis	Doctor of Philosophy	Doctorate	Full Time	Mr Hamzah Arishi

• Past Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2021 - 2025	Co-Supervisor	Improving MOOCs Through the Development of Automated Tools for Learner Modelling	Doctor of Philosophy	Doctorate	Full Time	Mr Abhilash Sridhara
  2018 - 2022	Co-Supervisor	Investigating Students’ Learning through Learner roles and Linguistic Expressions in Massive Open Online Courses	Doctor of Philosophy	Doctorate	Full Time	Miss Lavendini Sivaneasharajah
  2017 - 2021	Co-Supervisor	In Search of a Common Thread: Enhancing the LBD Workflow with a view to its Widespread Applicability	Doctor of Philosophy	Doctorate	Full Time	Dr Menasha Thilakaratne

• Memberships

  Date	Role	Membership	Country
  2016 - ongoing	-	Society for Learning Analytics Research (SOLAR)	-
  2014 - ongoing	-	International Educational Data Mining Society (IEDM)	-
  2014 - ongoing	Member	International Artificial Intelligence in Education Society (IAIED)	-

• Position: Grant-Funded Researcher (A)
• Phone: 83139077
• Email: thushari.atapattu@adelaide.edu.au
• Fax: 83134366
• Campus: North Terrace
• Building: Ingkarni Wardli, floor 4
• Org Unit: Computer Science