Thursday - September 12th

11:50 - 13:20 | Diversity Equity and Inclusion Workshop @ IEEE ETFA 2024

Clara has over 25 years of experience in the automotive semiconductor industry, from complex SoCs and software for digital TVs, to wireless payments in mobile phones and radar system for cars. Shortly after she graduated with a Master of Science in Physics by the University of Santiago de Compostela she started working as research scientist at Philips Research Labs in Eindhoven and later continued growing her career at NXP in various leading R&D roles.

Clara was a key driver behind NXP’s company-wide system strategy envisioning, developing and releasing a broad set of automotive system innovations for Electric, Connected and Safe vehicles. Most recently she took over the role as Sr. Director of System Marketing, focusing on software defined electric vehicles closely collaborating with customers to address electrification challenges, increasing efficiency and reuse, extending battery range and lifetime in a safe and secure way. Next to her technical leadership, she has held roles for the Eindhoven Site Management and as a Board Member for NXP’s European Women’s Leadership team.

Chiara Masiero is a Senior Data Scientist and Lead R&D Scientist at Statwolf, a company focused on Decision Support Systems and production-grade Machine Learning solutions. She has a PhD in Information Engineering from the University of Padova and an M.Sc. in Control Systems Engineering. She specializes in applying Machine Learning across various sectors, including Industry 4.0/5.0 and Digital Marketing. She is actively involved in national and international research projects, contributing to the design of Predictive Maintenance, Interpretable Anomaly Detection, Virtual Metrology, and Generative AI solutions. Her previous work includes developing sensor fusion algorithms for motorsport telemetry and designing Business Intelligence solutions. She is enthusiastic about transforming data into actionable insights and enjoys sharing her knowledge of Machine Learning through training activities and advising students.

Roberto Oboe obtained the Laurea degree in Electrical Engineering and the Doctorate degree from the University of Padova in 1988 and 1992, respectively. From 1993 to 2003, he has been with the Dipartimento di Elettronica e Informatica of the University of Padova. From 2003 to 2008 he has been Associate Professor in Automatic Control at the Department of Mechanical and Structural engineering, University of Trento. In 2008 he moved back to the University of Padova, Dep.t of Management and Engineering, where he is currently Full Professor of Automatic Control. His interests are in the fields of Motion Control, Control and applications of MEMS devices, Applied Digital Control, Telerobotics, Virtual Mechanism, Haptic Devices, Biomedical Equipments. He is author/coauthor of more than 250 contributions, plus 8 international patents.

He is a Fellow of the IEEE and, for the IES, he served as VP for Planning and Development, VP for Technical Activities, Founder and Chair of the Technical Committee on Motion Control, Chair of the Management Committee of the IEEE/ASME Transactions on Mechatronics and Associate Editor of OJEIES. He is currently voting AdCom member, Co-Editor-in-chief of the IEEE Transactions on Industrial Electronics. For the IEEE, he is serving as a volunteer in the IEEE Societies and Councils Review Committee and the IEEE Conference Portfolio Review Committee.

Prof. Silvana Badaloni is an Associate Professor of Artificial Intelligence (out of role) at the Department of Information Engineering, University of Padua. She holds a degree in Physics from the University of Padova and a D.E.A. in "Artificial Intelligence and Pattern Recognition" from the Ecole National des Ponts et Chausses in Paris.
Since 2004, Dr. Badaloni has been actively involved in promoting gender equality in science and engineering. She served as the scientific director for the University of Padua's unit in the European GenderTIME Project and has held key roles in the University's Equal Opportunities Committee and Observatory.

As a Studiosa Senior of the Studium Patavinum, Dr. Badaloni teaches Gender Knowledge and Ethics in Artificial Intelligence. Her research spans AI and gender studies, with over 60 scientific publications. She is a board member of the Elena Cornaro Center at the University of Padua and the Italian Association Women & Science. Her current focus is on Gender Innovation, exploring the integration of gender dimensions into innovation across disciplines, particularly in AI. This multifaceted career has established Dr. Badaloni as a respected figure in both AI research and gender equality advocacy in STEM fields.