ELENA MARIA BARALIS

Elena Baralis is full professor in the Computer Engineering Department of the Politecnico di Torino since January 2005. She holds a laurea degree in Electrical Engineering (1986) and a Ph.D. in Computer and Systems Engineering (1994), both from Politecnico di Torino. She lectures on , data science and machine learning, database systems and related technologies, data warehousing.

She is currently chair of the Control and Computer Engineering Department and was chair of the Computer Engineering School of the Politecnico di Torino from October 2012 to October 2018. She is currently a member of the Senato Accademico (managing board of the Politecnico di Torino), and also was has been member from February 2002 to December 2004.

Her current research interests are in the field of database systems and data mining, more specifically on explainable AI, bias detection in data analytics, and machine learning algorithms for big data. Her research activity also focuses on the study of algorithms for various data mining tasks on diverse application domains (e.g., predictive maintenance, industry 4.0, health). She has published over 200 papers in international journals (IEEE TKDE, ACM TODS, ACM TOIS) and conference proceedings (IEEE ICDE, IEEE ICDM, VLDB). She visited IBM Almaden Research Labs (California), Stanford University Computer Science Department, and recently Narus Inc. (California).

She has been area-chair of several editions of IEEE Int. Conf. on Data Mining ('08,’12, ICDM’14 - ICDM’22), ACM Knowledge Discovery in Data - Applied Data Science Track (’17-19, ’22), ECML-PKDD'11. She has served on the program committees of several international conferences and workshops.