Politecnico instructors for summer STEM courses
Allow us to introduce the team of professors and researchers who make up the teaching staff of our STEM courses organized by Politecnico di Milano in June and aimed at high school students.
A hallmark of our courses is excellence in teaching. All courses are taught by professors from Politecnico who regularly conduct classes in their respective undergraduate or graduate degree programs.
The instructors committed to the upcoming June 2024 courses are:
AI Bootcamp:
Prof. Matteo Matteucci:
Full Professor at the Department of Electronics, Information, and Bioengineering of Politecnico di Milano, he earned his Bachelor’s degree in Computer Engineering in 1999 from the same institution and later a Master of Science in Knowledge Discovery and Data Mining from Carnegie Mellon University. In 2003, he obtained a Ph.D. in Computer Engineering and Automation from Politecnico di Milano. His primary research areas include machine learning, automatic learning, automatic perception, robotics, computer vision, and signal processing. He is a co-author of over 50 articles in international journals, 25 articles in international books, and more than 150 contributions to international conferences and workshops. He has been involved in initiatives such as the Euron Special Interest Group on Good Experimental Methodologies and Benchmarking and is part of the IEEE RAS Standard Group for defining the IEEE P1873/D1 Draft Standard for Robot Map Data Representation for Navigation. In the past, he was coordinator of the European project RAWSEEDS, a support action for the development of a benchmarking toolkit for multi-sensor SLAM algorithms, as well as the National Scientific Coordinator of the ROAMFREE project funded by the Ministry of University and Research.
Giacomo Boracchi:
Associate Professor at the Department of Electronics, Information, and Bioengineering of Politecnico di Milano, he focuses on image analysis and processing, as well as machine learning. His research, published in high-level journals and conferences, ranges from mathematical and statistical techniques for image processing to machine learning, with a particular emphasis on image restoration and analysis, as well as the detection of changes and anomalies in non-stationary environments.
Boracchi has led or participated in numerous industrial research projects with companies such as Gilardoni X-rays and STMicroelectronics. He has supervised several doctoral students and thesis projects and has secured significant funding for his projects. Additionally, he has established research collaborations with renowned international institutions and has received several awards for his work, including the IEEE TNNLS Outstanding Paper Award.
Cybersecurity:
Stefano Zanero:
Full Professor at the Department of Electronics, Information, and Bioengineering of Politecnico di Milano, he is an expert in cybersecurity, with a particular focus on malware analysis, cyber-physical security, and financial fraud. He has amassed a considerable amount of academic publications, with over 131 articles in high-level journals and conferences in the field of cybersecurity. In addition to his research activities, he has played an active role in organizing conferences, both as a chair and as a member of the program committee. He has also served as an elected member of the board of the IEEE Computer Society and held leadership roles in the ISSA (Information Systems Security Association), where he was appointed Fellow in 2014.
He has extensive teaching experience, having taught courses at the undergraduate, graduate, and doctoral levels, and has supervised numerous doctoral and undergraduate students. Furthermore, he has founded three startups in the cybersecurity sector. Zanero has also contributed to knowledge dissemination in the hacker and industrial communities, participating as an invited speaker at numerous conferences worldwide. Additionally, he has played an active role in the review and editorial management of major academic journals in the field of cybersecurity.
Lorenzo Binosi:
Ph.D. Student at Dipartimento di Elettronica, Informazione e Bioingegneria and received the master’s degree both from Politecnico di Milano. His main research is about new approaches and methodologies for the security analysis of embedded devices, specifically focusing on software components. However, I am interested in various topics of Computer Security and, during his free time, he either plays Computer security competitions called CTF (Capture The Flag) or expands his knowledge by reading the latest research. Lorenzo also teaches cyber-security to students ranging from high school to M.Sc.
His research mainly focuses on the security of Embedded Devices. There are several challenges when it comes to assessing the security of these devices, especially because the approaches that we use nowadays for modern computers, like fuzzing, cannot be applied as they are on Embedded Devices. As a result, he is investigating new methodologies and approaches for the security of these devices, mainly leveraging reverse engineering and automated vulnerability discovery tools, that can be used during the analysis of binaries, especially those coming from C/C++ projects.
Green Energy:
Paolo Gaetani:
Full Professor at the Department of Energy of Politecnico di Milano, specializes in the field of hydraulic machinery. He graduated in Mechanical Engineering from Politecnico di Milano and obtained a Ph.D. in Energy Engineering, with a focus on the analysis of three-dimensional unstable flow in centrifugal fans. His career began with a scholarship for the design of a test bench for centrifugal and axial fans, followed by work as a researcher in the development of measurement techniques for unstable flows. Currently, he teaches Turbomachinery to Master’s degree students.
His research focuses on the aerodynamics of hydraulic machinery and measurement techniques, with expertise in stator-rotor interaction and interaction between impellers and diffusers. His interests are particularly focused on measurement techniques such as pressure probes, LDV, and PIV, and he is developing fast-response micro-thermocouples for high-frequency measurements. In addition to teaching and research, Gaetani coordinates working groups on measurement techniques for hydraulic machinery, participates in international projects, and collaborates with industrial partners. He serves as a reviewer for journals and conferences and is involved in organizing committees for congresses and conferences.
Python:
Francesco Bruschi:
Researcher at the Department of Electronics, Information, and Bioengineering, he teaches ADVANCED CODING TOOLS AND METHODOLOGIES at Politecnico.
Gianluca Palermo:
He received the M.S degree in Electronic Engineering, in 2002, and the Ph.D degree in Computer Engineering, in 2006, from Politecnico di Milano. He is currently Full Professor at Department of Electronics, Information and Bioengineering in the same University. Previously, he was consultant engineer in the Low Power Design Group of AST – STMicroelectronics (Agrate, Italy) working on network on-chip and research assistant at the Advanced Learning and Research Institute (ALaRI) of the Universita’ della Svizzera Italiana (Lugano, Switzerland). His research interests include design methodologies and architectures for Embedded and High Performance Computing systems, focusing on multi/many-cores architectures, application autotuning, and high throughput virtual screening. Since 2003, he published over 150 peer-reviewed papers including top-level conferences and journals ( > 3700 total citations and h-index of 32 according to Google Scholar). He is ACM, HiPEAC and EuroLab4HPC member, IEEE senior member and PoliMi representative within EIT Digital.
Race car dynamics:
Stefano Melzi:
Full Professor, he graduated in Mechanical Engineering in 1999 from the Politecnico di Milano, and obtained a Doctor of Research degree in Applied Mechanics in 2003. Currently, he teaches Vehicle Mechanics for students in the Mechanical Engineering Bachelor’s degree program. His research activities, generally associated with the dynamics of mechanical systems, are primarily focused on the dynamics of land vehicles. In the automotive field, the research is directed towards experimental analysis and modeling of cars, motorcycles, and their components, with particular attention to tire behavior and control systems for active safety or driver assistance. In this context, research has been focused in recent years on the development of control logic combined with innovative sensor technology (smart tires) for the active safety of the vehicle itself. In the railway sector, the investigation focuses on the study of running safety, particularly of freight trains, focusing on the effect of train composition, load distribution, braking forces, and the response of traction and buffer hooks; the activity is conducted from both numerical and experimental perspectives. In the railway field, several studies have been completed on the pantograph-catenary interaction and the related wear phenomena associated with sliding contact with power transfer. Overall, research activities have led to the publication of approximately 70 international publications.
Autonomus vehicles:
Matteo Corno:
Full Professor at Politecnico di Milano, where he has been leading a research group since January 2015. His main research areas include vehicle dynamics control, autonomous vehicles, state estimation of batteries in electric vehicles, and hybrid vehicles. In the field of wheeled vehicle dynamics control, Corno closely collaborates with industry leaders such as Maserati and Ferrari. His publications balance theory and application, with significant contributions to traction control systems for sports motorcycles, including the APRC. Corno’s research in battery state estimation is funded by industrial partnerships and government grants. His work applies semi-separable structure algebra for real-time use of electrochemical models.
He has initiated innovative research on the “human-in-the-loop” approach to vehicle dynamics, designing traction control systems and optimization strategies, and exploring human-powered electric hybrid vehicles. In the realm of autonomous vehicles, he is particularly involved in autonomous racing cars and has distinguished himself by winning international races with real racing vehicles on tracks, such as the Indy Autonomous Challenge. His entrepreneurial initiatives include startups focused on sustainable electric bicycles charging, mechatronic braking systems for bicycles, and autonomous delivery robots. His academic experience includes roles at Delft University of Technology and Politecnico di Milano, where he has established strong links between academia and industry, facilitating research transfer.
Robotics:
Rocco Paolo:
Full Professor at Politecnico di Milano, he is an expert in Systems and Control. He graduated with honors in Electronic Engineering and obtained his Ph.D. in Computer Science and Automation from Politecnico di Milano in 1991 and 1995, respectively. After a research period at Georgia Tech, Atlanta, USA, he joined the Department of Electronics, Information, and Bioengineering (DEIB) of Politecnico di Milano in 1996. He teaches courses in Automatic Control and Robotics. He served as Coordinator of the Automation Engineering Study Program from 2013 to 2018 and currently sits on the Board of Directors of Politecnico di Milano for the term 2022-24. Since 2023, he has led the research area in Systems and Control at the Department of Electronics, Information, and Bioengineering.
He has held leadership roles in SIDRA and ANIPLA, national associations in Automatic Control and Automation. He contributes to industrial development as scientific coordinator for projects at MADE, the Competence Center for Industry 4.0 in Milan. Additionally, he sits on the boards of euRobotics and I-RIM, promoting robotics in Europe and Italy, respectively. He is a consultant for the CLC-South of EIT-Manufacturing. A prominent researcher, Rocco’s work in industrial robotics, particularly in collaborative robotics, is widely recognized. He is the author of nearly 200 publications and oversees the Mechatronics and Industrial Robotics Laboratory (MERLIN), facilitating technology transfer through research contracts and publicly funded projects. This commitment has led to patent applications and the Smart Robots startup.
Gian Paolo Incremona:
Gian Paolo Incremona was born in Comiso, Italy, in 1988. He was a student of the Almo Collegio Borromeo of Pavia and of the class of Science and Technology of the Institute for Advanced Studies (IUSS) of Pavia. He received his B.Sc. and M.Sc. degrees summa cum laude in Electric Engineering in 2010 and 2012, respectively, from the University of Pavia, where he also obtained his Ph.D. degree in Electronics, Computer Science, and Electrical Engineering in 2016. Since then, he has been with the Identification and Control Systems Dynamics Laboratory of the University of Pavia as a postdoc, and, from October to December 2014, he was with the Dynamics and Control Group of the Eindhoven University of Technology, The Netherlands.
He is currently an associate professor of Automatic Control with the Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy. Gian Paolo Incremona has carried out research in the area of variable structure control and optimal control and he is active in the following topics: sliding mode control, model predictive control, switched systems, rail control systems, industrial robotics and power systems..