Senior Lecturer
- About
-
- Email Address
- yaji.sripada@abdn.ac.uk
- Telephone Number
- +44 (0)1224 272597
- Office Address
- School/Department
- School of Natural and Computing Sciences
Biography
I am a Senior Lecturer in the Department of Computing Science. I joined the department as a PDRA (Post-Doctoral Research Associate) in 2000. I was promoted to Lecturer in 2003. Before joining the university, I worked as a Research Scientist for Tata Consultancy Services, India, after completing my PhD in Computer Science and Engineering from the Indian Institute of Technology, Madras, India, in 1998.
Qualifications
- PhD Computer Science and Engineering1998 - Indian Institute of Technology, Madras, India
- MTech Computer Science1991 - Indian Institute of Technology, Roorkee
- BSc Electrical Engineering1989 - National Institute of Technology, Kurukshetra, India
Memberships and Affiliations
- Internal Memberships
-
Current:
Enterprise and Innovation Champion for the School of Natural and Computing Sciences
Industrial Placements Coordinator for Computing Science
Previous:
Interim Head of Computing Science
Director of Undergraduate Pathways in Computing Science
Outreach Director for Computing Science
- External Memberships
-
Member of the Engineering and Physical Sciences Research Council (EPSRC) Peer Review College since 2016.
Reviewer for the European Research Council (ERC) since 2021.
- Research
-
Research Overview
My research focuses on supporting two-way communication between humans and machines in the context of automating machine learning (ML)/data science life cycle tasks such as data engineering and reporting to stakeholders about fitted models and their fairness, accountability, and transparency (FAT). My research brings together ML/data science, knowledge-based programming, natural language technology and information visualization (InfoVis). I am an inventor on several US patents related to natural language-based AI technology. I am one of the founders of Arria (www.arria.com), a company specializing in data-to-text (D2T) natural language generation (NLG).
- Teaching
-
Programmes
- Undergraduate, 4 year, September start
- Undergraduate, 4 year, September start
- Undergraduate, 4 year, September start
- Undergraduate, 4 year, September start
- Undergraduate, 4 year, September start
- Undergraduate, 5 year, September start
- Postgraduate, 3 semester, September start
- Postgraduate, 3 semester, January start
- Postgraduate, 3 stage, September start
- Publications
-
Page 4 of 4 Results 76 to 94 of 94
Trends in semen parameters in the northeast of Scotland
Journal of Andrology, vol. 28, no. 2, pp. 313-319Contributions to Journals: ArticlesAtlas.txt: Linking Geo-referenced Data to Text for NLG
Contributions to Conferences: PapersAutomatic Generation of Textual Summaries from Neonatal Intensive Care Data
Lecture Notes in Computer Science, vol. 4594, pp. 227-236Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1007/978-3-540-73599-1_30
Generating spatio-temporal descriptions in pollen forecasts
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] View publication in Scopus
Evaluating an NLG system using post-editing
Contributions to Journals: Conference Articles- [ONLINE] View publication in Scopus
Choosing Words in Computer-Generated Weather Forecasts
Artificial Intelligence, vol. 167, pp. 137-169Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1016/j.artint.2005.06.006
Lessons from deploying NLG technology for marine weather forecast text generation
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsContextual influences on near-synonym choice
The Third International Conference on Natural Language Generation (INLG). Springer, 10 pagesChapters in Books, Reports and Conference Proceedings: ChaptersGenerating English Summaries of Time Series Data Using the Gricean Maxims
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2003). ACM Press, pp. 187-196Chapters in Books, Reports and Conference Proceedings: Chapters- [ONLINE] DOI: https://doi.org/10.1145/956750.956774
Acquiring Correct Knowledge for Natural Language Generation
Journal of Artificial Intelligence Research, vol. 18, pp. 491-516Contributions to Journals: ArticlesAcquiring and using limited user models in NLG
Contributions to Conferences: Papers- [ONLINE] https://aclanthology.org/W03-2312.pdf
- [ONLINE] View publication in Scopus
Recognising visual patterns to communicate gas turbine time-series data
Applications and Innovations in Intelligent Systems X: Proceedings of ES2002, the Twenty-Second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence. Macintosh, A. L., Ellis, R., Coenen, F. (eds.). Springer, pp. 105-118, 14 pagesChapters in Books, Reports and Conference Proceedings: ChaptersSegmenting time series for weather forecasting
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsSummarizing neonatal time series data
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] View publication in Scopus
SumTime-Turbine: A knowledge-based system to communicate gas turbine time-series data
Developments in Applied Artificial Intelligence: International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Loughborough, UK, June 23-26, 2003: proceedings. Chung, P. W. H., Hinde, C., Ali, M. (eds.). Springer Verlag, pp. 379-384, 6 pagesChapters in Books, Reports and Conference Proceedings: ChaptersHuman Variation and Lexical Choice
Computational Linguistics, vol. 28, pp. 545-553Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1162/089120102762671981
Should corpora texts be gold standards for NLG?
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] View publication in Scopus
An approach to generating summaries of time series data in the gas turbine domain
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsModelling the Task of Summarising Time Series Data using KA Techniques
Applications and Innovations in Intelligent Systems IX. Macintosh, A., Moulton, M., Preece, A. (eds.). Springer Verlag, pp. 183-196, 14 pagesChapters in Books, Reports and Conference Proceedings: Chapters