معرفی
Shahina Begum is a Professor in Artificial Intelligence at Mälardalen University (MDU), leading the Artificial Intelligence and Intelligent Systems group. She focuses on developing intelligent systems for medical and industrial applications, with expertise in multimodal machine learning, explainable AI, and decision support systems. She holds a PhD in AI from MDU (2011) and has led numerous research projects, including initiatives funded by the Swedish Knowledge Foundation and KK-Stiftelsen.
Her teaching roles include designing and leading over 21 courses/learning modules in AI and machine learning, both on-campus and distance-based. She is the main responsible for AI content in MDU's 'Bachelor program in Applied AI' and has spearheaded MOOC courses like 'Basic Knowledge on ML' and AIClass. She also leads industrial collaboration projects such as IntoDeep, KIT, and PROMPT, addressing Industry 4.0 challenges.
Research interests span sustainable AI development, trustworthy AI systems, and AI for manufacturing/predictive maintenance. She has received notable recognition, including the Prospect grant (2011) and inclusion in the Royal Swedish Academy's top 100 sustainable AI researchers (2020). Her work emphasizes bridging academic research with industry needs through collaborative initiatives.
She has published extensively on multimodal learning, explainable AI, and applications in transportation, healthcare, and manufacturing. Her awards include the Best Paper Award at the 2024 conference for work on second-order learning. She actively contributes to academic governance, serving on evaluation committees, conference organizing committees, and funding review boards.
