PHAM Viet Nga

PHAM Viet Nga is a researcher specializing in Modeling and Optimization in Finance and Data Mining. Her work focuses on DC Programming, portfolio optimization, and mixed-integer programming applications. Currently based in Vietnam (EC), she has contributed to academic conferences and submitted journal articles in optimization fields. She previously directed a doctoral thesis from 2009-2013 under the supervision of Pham DT.

Key research areas include discrete optimization techniques, financial modeling with transaction cost analysis, and applications in shift scheduling. Her methodologies combine DC Programming with DCA (Difference of Convex functions Algorithm) to address complex problems in bounded variable spaces and multiobjective scenarios.

Selected contributions include presentations at the ICOTA 2010, ROADEF 2011, and EURO 2012, focusing on portfolio optimization, linear least squares problems, and shift scheduling solutions. Publications include submitted journal work on concave transaction costs and in-preparation manuscripts on multiobjective programming applications.