Broadly speaking, I am interested in the interface of computer science and business management. In particular, I am very interested to examine how data analytics and machine learning techniques can tackle real world problems, e.g. business and marketing decision making problems. I was a research intern at Yahoo! Research Labs in Barcelona, Spain in 2012. Here are my most recent publications:
- Nalchigar, S., Yu, E., Keshavjee, K. (2021). Modeling machine learning requirements from three perspectives: a case report from the healthcare domain. Requirements Engineering, Springer. [PDF]
- Nalchigar, S., Yu, E., Obeidi, Y., Carbajales, S., Green, J., Chan, A. (2019). Solution Patterns for Machine Learning. 31st International Conference on Advanced Information Systems Engineering (CAiSE'19), Rome, Italy. [PDF]
- Nalchigar, S., Yu, E. (2020). Designing Business Analytics Solutions. Business & Information Systems Engineering, Springer. [PDF]
- Nalchigar, S., Yu, E. (2018). Business-driven data analytics: A conceptual modeling framework. Data & Knowledge Engineering, Elsevier. [PDF]
- Nalchigar, S., Yu, E. (2017). Conceptual Modeling for Business Analytics: A Framework and Potential Benefits. 19th IEEE International Conference on Business Informatics (CBI'17), Thessaloniki, Greece. [PDF]
- Nalchigar, S., Yu, E., Ramani, R. (2016). A Conceptual Modeling Framework for Business Analytics. 35th International Conference on Conceptual Modeling (ER'16), Gifu, Japan. [PDF]