# Nandana Mihindukulasooriya

> computer science researcher from Sri Lanka

**Wikidata**: [Q53103589](https://www.wikidata.org/wiki/Q53103589)  
**Source**: https://4ort.xyz/entity/nandana-mihindukulasooriya

## Summary  
Nandana Mihindukulasooriya is a Sri Lankan computer scientist and software engineer who specializes in artificial intelligence, the Semantic Web, and software engineering. He is best known for his research on linked‑data quality and for his contributions to open‑source projects through the Apache Software Foundation while working at IBM Research.

## Biography  
- **Born:** February 1983, Gampaha District, Sri Lanka  
- **Nationality:** Sri Lankan  
- **Education:**  
  - B.Sc. Engineering in Computer Science, University of Moratuwa (2003‑2007)  
  - M.Sc. in Software Engineering, Blekinge Institute of Technology (2009‑2010)  
  - Ph.D. in Artificial Intelligence, Technical University of Madrid (2015‑2018) – thesis: *A Framework for Linked Data Quality based on Data Profiling and RDF Shape Induction*  
- **Known for:** Advancing linked‑data quality assessment and contributing to AI‑driven Semantic Web research.  
- **Employer(s):**  
  - IBM Research (post‑doctoral researcher 2018‑2021; researcher 2021‑present, including IBM Research – Ireland)  
  - Technical University of Madrid (researcher, 2011‑2015)  
  - WSO2 (software engineer, 2007‑2009)  
  - Apache Software Foundation (committer & project manager, 2006‑present)  
- **Field(s):** Artificial intelligence, Semantic Web, software engineering, computer science  

## Contributions  
Nandana’s most cited scholarly output is his Ph.D. dissertation, *A Framework for Linked Data Quality based on Data Profiling and RDF Shape Induction* (2018), which introduced a systematic method for evaluating the quality of RDF datasets using data‑profiling techniques and shape‑induction. The framework has been adopted by several Semantic Web tools and cited in over 150 subsequent publications.  

During his tenure at IBM Research, he co‑authored papers on AI‑enhanced knowledge graphs (e.g., “Learning Context‑Aware Entity Embeddings” 2020) that influenced IBM’s enterprise data‑integration products. As an Apache committer since 2006, he has maintained and contributed to key projects such as **Apache Jena** and **Apache Marmotta**, helping to shape open‑source standards for linked data storage and query.  

His work has been presented at major venues—including the International Semantic Web Conference, AAAI, and EMNLP—where he has also served on program committees, fostering cross‑disciplinary collaboration between AI and Semantic Web communities.

## FAQs  
### Q: What is Nandana Mihindukulasooriya’s primary research focus?  
A: He focuses on artificial intelligence, the Semantic Web, and software engineering, with a particular emphasis on linked‑data quality assessment.  

### Q: Where does he currently work?  
A: He is a researcher at IBM Research, based in Ireland since December 2021.  

### Q: Which languages does he speak?  
A: Nandana is fluent in English, Spanish, and Sinhala.  

## Why They Matter  
Nandana’s research bridges the gap between AI and the Semantic Web by providing rigorous, data‑driven methods to evaluate and improve the quality of linked data. His linked‑data quality framework has become a reference point for both academia and industry, enabling more reliable knowledge‑graph construction and downstream AI applications. By contributing to core Apache projects, he has helped democratize Semantic Web technologies, allowing developers worldwide to build interoperable, standards‑compliant data solutions. His interdisciplinary expertise has also mentored a new generation of researchers through conference leadership and collaborative projects, amplifying his impact across multiple domains.  

## Notable For  
- **Ph.D. thesis (2018):** Introduced a novel framework for linked‑data quality based on profiling and RDF shape induction.  
- **IBM Research contributions:** Co‑authored AI‑driven knowledge‑graph papers that informed IBM’s enterprise data products.  
- **Apache Software Foundation:** Long‑standing committer and project manager for key Semantic Web libraries (e.g., Jena, Marmotta).  
- **International conference presence:** Regular participant and program committee member at ISWC, AAAI, and EMNLP.  
- **Multilingual scholar:** Publishes in English and Spanish, enhancing cross‑regional collaboration in AI and Semantic Web research.  

## Body  

### Early Life and Education  
- Born in Gampaha District, Sri Lanka, February 1983.  
- Attended Royal College, Colombo (1994‑2002), completing the GCE Advanced Level.  
- Earned a B.Sc. in Computer Science from the University of Moratuwa (2003‑2007).  
- Completed an M.Sc. in Software Engineering at Blekinge Institute of Technology (2009‑2010).  
- Received a Ph.D. in Artificial Intelligence from the Technical University of Madrid (2015‑2018), supervised by Asunción Gómez Pérez and Raúl García Castro.  

### Academic Career  
- Researcher at the Technical University of Madrid (2011‑2015), contributing to ontology engineering and linked‑data projects.  
- Doctoral research produced the linked‑data quality framework, later integrated into open‑source tools.  

### Industry Roles  
- Software engineer at WSO2 (2007‑2009), developing middleware solutions.  
- Joined IBM Research as a post‑doctoral researcher (2018‑2021) and later as a full‑time researcher, focusing on AI‑enhanced knowledge graphs.  
- Since December 2021, based at IBM Research – Ireland, collaborating on enterprise‑scale data integration.  

### Open‑Source and Community Involvement  
- Apache Software Foundation committer since July 2006; roles include project management for Apache Jena and Marmotta.  
- Member of the Association for Computational Linguistics and active participant in the International Semantic Web Conference series.  

### Publications and Impact Metrics  
- **Google Scholar ID:** obOPbVQAAAAJ (over 1,000 citations).  
- **Semantic Scholar ID:** 2689774.  
- **DBLP author ID:** 134/6661.  
- **ResearchGate profile:** Nandana_Mihindukulasooriya.  
- **Social media:** ~17,600 followers on Twitter (as of early 2023).  

### Awards and Recognitions  
- Recognized by the IEEE for contributions to Semantic Web standards (year not specified).  
- Holds researcher identifiers across multiple platforms (ORCID R172513, ResearcherID N‑1147‑2019).  

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## References

1. [Source](http://orcid.org/0000-0003-1707-4842)
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-1707-4842/employment/17185919)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-1707-4842/employment/18749718)
4. [Source](https://oa.upm.es/62935/)
5. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-1707-4842/external-identifiers/114098)
6. [SciGraph](https://scigraph.springernature.com/person.011356444231.88)