Smart adaptive run parameterization (SArP): enhancement of user manual selection of running parameters in fluid dynamic simulations using bio-inspired and machine-learning techniques. - Hatem Ghorbel; Nicolas Zannini; Salma Cherif; Florian Sauser; David Grunenwald; William Droz; Mahamadou Baradji; Djamel Lakehal (Soft Comput., 2019)

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries. - Lakmal Meegahapola; William Droz; Peter Kun; Amalia de Götzen; Chaitanya Nutakki; Shyam Diwakar; Salvador Ruiz-Correa; Donglei Song; Hao Xu 012; Miriam Bidoglia; George Gaskell; Altangerel Chagnaa; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores. - Alexandre Nanchen; Lakmal Meegahapola; William Droz; Daniel Gatica-Perez (AIES, 2023)

Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK. - Karim Assi; Lakmal Meegahapola; William Droz; Peter Kun; Amalia de Götzen; Miriam Bidoglia; Sally Stares; George Gaskell; Altangerel Chagnaa; Amarsanaa Ganbold; Tsolmon Zundui; Carlo Caprini; et al. (CHI, 2023)