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Prof. Mariagrazia Dotoli Full Professor in Automation Politecnico di Bari |
Biography
Mariagrazia Dotoli is a Full Professor in Automation at Politecnico di Bari, Italy.
Dotoli currently serves as the President of SIDRA, the Italian Association of University Professors and Researchers in Automation. She is also the Founder and Coordinator of the Italian National PhD Program on Autonomous Systems (DAUSY, http://dausy.poliba.it/phd/).
She is the founder and director of the Decision&Control Laboratory of Politecnico di Bari (http://dclab.poliba.it/) and the founder of Politecnico di Bari spin-off company Innolab S.r.l.
She has authored over 300 international publications in the field of automation. Her Google Scholar h-index is 52, with over 8,800 citations.
Dotoli is an IEEE Fellow and serves as VP for Membership&Student Activities of IEEE SMCS and AdCom member of IEEE RAS.
She is included in the world’s top 2% scientists list for both career-long impact and single-year categories in the fields of Industrial Engineering & Automation and Artificial Intelligence & Image Processing, according to the standardized citation metrics database developed by Ioannidis et al. and released by Stanford University and Elsevier BV.
Dotoli currently serves as the President of SIDRA, the Italian Association of University Professors and Researchers in Automation. She is also the Founder and Coordinator of the Italian National PhD Program on Autonomous Systems (DAUSY, http://dausy.poliba.it/phd/).
She is the founder and director of the Decision&Control Laboratory of Politecnico di Bari (http://dclab.poliba.it/) and the founder of Politecnico di Bari spin-off company Innolab S.r.l.
She has authored over 300 international publications in the field of automation. Her Google Scholar h-index is 52, with over 8,800 citations.
Dotoli is an IEEE Fellow and serves as VP for Membership&Student Activities of IEEE SMCS and AdCom member of IEEE RAS.
She is included in the world’s top 2% scientists list for both career-long impact and single-year categories in the fields of Industrial Engineering & Automation and Artificial Intelligence & Image Processing, according to the standardized citation metrics database developed by Ioannidis et al. and released by Stanford University and Elsevier BV.