PhD Student in Software Engineering,
- Computer Engineering and Information Technology Faculty, Amirkabir University of Technology, Tehran, Iran
Meisam Nazariani
- Intelligent Systems Laboratory,
Department of Computer Engineering and Information Technology,
Amirkabir University of Technology,
Valiasr St.,
Tehran,
Iran,
Ph.D. Research Project
Q-STAR: Data Quality Engineering Framework
Journal and Conference Papers:
- M. Nazariani, A. Abdollahzadeh “A Crowdsourcing Approach to Data Quality Engineering”, The 20th Annual Conference of Computer Society of Iran (CSICC 2017), Tehran, Iran, 2017. (Accepted)
- M. Nazariani, A. Abdollahzadeh “Using Electronic Health Record System for Case Finding and Improving Completeness of Population-Based Cancer Registry”, The 38th Annual Conference of the International Association of Cancer Registries (IACR 2016), Marrakech, Moroco, 2016. (Accepted)
- M. Nazariani, A. Abdollahzadeh “Introducing the Requirements of Data Quality Engineering Framework”, The 8th National and 2nd International Electronic Commerce and Economy Conference (ECEC 2016), Tehran, Iran, 2016. (Accepted)
- M. Nazariani, A. Abdollahzadeh “A New Approach for Detecting Malicious Workers in Crowdsourcing Systems”, IEEE Internet Computing Journal. (Submitted)
- M. Nazariani, A. Abdollahzadeh “A Dynamic-Weighted-Majority Approach for Detecting Malicious Crowd Workers”, Iranian Journal of Electronic and Computer Engineering. (Submitted)
- M. Nazariani, A. Abdollahzadeh “Constraint-Based Data Quality: A Survey” KSII Transactions on Internet and Information Systems. (Submitted)
- M. Nazariani, A. Abdollahzadeh “A Crowdsourcing Approach to Data Quality: Detecting Duplicate Records in Unstructured Large Datasets”, ACM Transaction on Intelligent Systems and Technology. (Submitted)
Projects:
- Using Electronic Health Record System for Case Finding and Improving Completeness of Population-Based Cancer Registry (JAVA).
- Record Linkage for “DBLP” and “Scholar” Databases using a Crowdsourcing Method (PHP-HTML).
- Simulating a Crowdsourcing System Using Predominate Crowd Worker Types (MATLAB).
Keynote:
- M. Nazariani “Critical Success Factors for Business Intelligence Projects: Data Quality Engineering”, The 2nd National Business Intelligence Conference (NBIC 2017), Tehran, Iran, 2017.
- M. Nazariani “The Role of Data Quality in Business Intelligence Projects”, The 1st National Business Intelligence Conference (NBIC 2016), Tehran, Iran, 2016.
- M. Nazariani “Business Intelligence: Applications and Techniques”, The 3rd Electronic Commerce Opportunities and Challenges Conference (ECOC 2016), Tehran, Iran, 2016.
Data Quality Engineering
Crowdsourcing
Business Intelligence
Data Warehousing
