Heuristic algorithms for maximising the total profit of end-of-life computer remanufacturing. - Sangje Cho; Hong-Bae Jun; Dimitris Kiritsis (Int. J. Prod. Res., 2017)

A Hybrid Machine Learning Approach for Predictive Maintenance in Smart Factories of the Future. - Sangje Cho; Gökan May; Ioannis Tourkogiorgis; Roberto Perez; Óscar Lázaro; Borja de la Maza; Dimitris Kiritsis (APMS (2), 2018)

Predictive Maintenance Platform Based on Integrated Strategies for Increased Operating Life of Factories. - Gökan May; Nikos Kyriakoulis; Konstantinos Apostolou; Sangje Cho; Konstantinos Grevenitis; Stefanos Kokkorikos; Jovana Milenkovic; Dimitris Kiritsis (APMS (2), 2018)

A Semantic-driven Approach for Industry 4.0. - Sangje Cho; Gökan May; Dimitris Kiritsis (DCOSS, 2019)

Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach. - Lohithaksha M. Maiyar; Sangje Cho; Manoj Kumar Tiwari; Klaus-Dieter Thoben; Dimitris Kiritsis (Int. J. Prod. Res., 2019)

Toward a reference terminology for product-service systems in the manufacturing domain. - Gökan May; Sangje Cho; Ana Teresa Correia 001; Rebecca Siafaka; Dragan Stokic; Dimitris Kiritsis (Comput. Ind., 2022)