Past Collaborators

Alessandro Davoli received the B.S. and M.S. degrees (cum laude) in electronic engineering from the University of Modena and Reggio Emilia, Italy, in 2016 and 2018, respectively, and the Ph.D. degree in automotive for an intelligent mobility from the University of Bologna, in October 2021. His main research interests include MIMO radars, with emphasis on the development of novel detection and estimation algorithms for automotive applications. (Based on document published on 6 July 2023)

Eugenio Chiavaccini

Filippo Zuccardi Merli was born in Correggio, Italy, in July 1980. He received the Dr. Ing. degree (cum laude) in electronic engineering and the Ph.D. degree from the University of Modena and Reggio Emilia, Modena, Italy, in 2004 and 2008, respectively.,From 2006 to 2007, he was a Research Assistant with the Department of Electrical Engineering, Columbia University, New York, NY, focusing on digital communication and statistical signal processing. More recently, he was with Deloitte for one year, providing technology services for both the industrial and financial sectors. Since October 2008, he has been a Management Consultant with KPMG, advising clients and participating in several projects regarding information security. His scientific interests are in the broad areas of communication theory and information management, with applications to information technology compliance and governance (Based on document published on 9 September 2009).

Francesco Montorsi (S’06) received both the Laurea degree (cum laude) and the Laurea Specialistica degree (cum laude) in Electronic Engineering from the University of Modena and Reggio Emilia, Italy, in 2007 and 2009, respectively. He received the Ph.D. degree in Information and Communications Technologies (ICT) from the University of Modena and Reggio Emilia in 2013. He is employed as embedded system engineer for
an ICT company since 2013. In 2011 he was a visiting PhD student at the Wireless Communications and Network Science Laboratory of Massachusetts Institute of Technology (MIT). His research interests are in the area of localization and navigation systems, with emphasis on statistical signal processing (linear and non-linear filtering, detection and estimation problems), model-based design and modelbased performance assessment.
Dr. Montorsi is a member of IEEE Communications Society and served as a reviewer for the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, IEEE TRANSACTIONS ON SIGNAL PROCESSING, IEEE WIRELESS COMMUNICATIONS LETTERS, and several IEEE conferences. He received the GTTI Award for Ph.D. theses in the field of Communication Technologies in 2013 from the Italian Telecommunications and Information Theory Group (GTTI) (Based on document published on 2014).

Fabio Gianaroli was born in Formigine, Italy, in 1986. He received the M.S. degree in electrical engineering and the Ph.D. degree in information and communication technology from the University of Modena and Reggio Emilia, Italy, in 2010 and 2014, respectively. His main research interests are in the field of home and building automation for smart grid, with a particular emphasis on power-line channel modeling and characterization.(Based on document published on 2 June 2016)

Francesca Facchini

Luca Puviani received the BSc (cum Laude) and MSc (cum Laude) degrees in telecommunications engineering from the University of Modena and Reggio Emilia, Italy, in 2005 and 2007, respectively. He is working toward the PhD degree in information communication technologies at the University of Modena and Reggio Emilia, focusing on computational behavioral science and machine learning techniques applied to neuroscience. He has worked in private companies as consultant and project manager for innovation, machine learning and R&D projects and as a consultant for projects worldwide. His primary research interests include the cognitive and affective sciences, artificial intelligence, human-computer interaction, unconscious brain processing. More specific interests include computational models of emotional processing, machine learning, affective computing, artificial intelligence, and computational models of human cognition.(Based on document published on 18 December 2018).

Emilio Sirignano (M’16) received the B.Sc. and M.Sc. degrees in electrical engineering from the University of Naples Federico II, Naples, Italy, in 2009 and 2013, respectively, and the Ph.D. degree in information and communications technologies from the University of Modena and Reggio Emilia, Modena, Italy, in 2018. From October 2013 to June 2014, he was with the Electronics Research Group, Delft University, The Netherlands, as a Graduate Researcher. He is currently a Research Assistant with the Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia. His main research interests lie in the broad area of statistical signal processing and sensor array processing.(Based on document published on 12 September 2019).

Davide Bombarda