جستجوی استاد راهنمای دانشگاهی

Luca Onetoمشاهده پروفایل

استاد

• Statistical Learning Theory
• Trustworthy Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Luca Oneto is a Full Professor in the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at the University of Genoa's Polytechnic School, serving on the Department Board and ICT Commission. His academic trajectory spans from Postdoc (2014-2016) to Assistant Professor (2016-2019), Associate Professor at both University of Genoa (2019-2024) and University of Pisa (2019), culminating in his current Full Professor role. His educational foundation includes: BSc in Electronic Engineering (2008, University of Genoa) MSc in Electronic Engineering (2010, University of Genoa) PhD in Computer Engineering (2014, University of Genoa) Professor Oneto's research is anchored in Statistical Learning Theory and Trustworthy Artificial Intelligence , with pioneering work on reliable, interpretable machine learning systems. He bridges theoretical advancements with practical applications in Data Science , developing cutting-edge AI algorithms for real-world problem solving across industrial and European Union frameworks. His expertise spans foundational learning theory, robust AI deployment, and ethical algorithm design. His exceptional contributions are recognized by: Amazon AWS Machine Learning Award Somalvico Award for Italy's best young AI researcher As coordinator and local responsible for industrial projects, Horizon 2020, and Horizon Europe initiatives, he drives high-impact research translation. Co-founding the spin-off ZenaByte s.r.l. (2018), he actively commercializes AI innovations. His teaching portfolio includes graduate courses in Machine Learning, Deep Learning, Data Analysis, and Trustworthy AI across Computer and Management Engineering programs at the University of Genoa.

Alessandro Rizzoمشاهده پروفایل

دانشیار

• Automatic controls
• Complex networks and systems
• Digital epidemiology
• +۱۹ مورد دیگر

Alessandro Rizzo is an Associate Professor in Automation Engineering at the Politecnico di Torino , affiliated with the Department of Electronics and Telecommunications (DET) and the PIC4SeR Interdepartmental Centre for Service Robotics . He holds a PhD from the University of Catania and has held academic roles at Polytechnic University of Bari (2002–2015) and NYU Tandon School of Engineering (visiting roles). His work spans complex networks , robotics , epidemic modeling , and distributed control systems . Education : Laurea summa cum laude in Computer Engineering (University of Catania, 1996), PhD in Electronic and Control Engineering (University of Catania, 2000). Research Interests include data-driven control of autonomous vehicles, network dynamics , cooperative robotics , and epidemic modeling for public health. His recent articles focus on Koopman-based predictive control , adaptive bio-inspired architectures , and distributed localization algorithms . Scientific Awards include the IFAC Best Application Paper Award (2002) , IEEE Distinguished Lecturer (2007) , IEEE Senior Member (2008) , and APS Highlight in Physics (2014) . PhD Supervision : Mentoring research on AI for robotics, epidemic control, and autonomous systems, with students like Lorenzo Calogero and Zhipeng Ding . Editorial Roles : Associate Editor for journals such as IEEE Transactions on Control of Network Systems and IEEE Robotics and Automation Letters .

• Aerospace Engineering
• Control Engineering
• Robotics
• +۴ مورد دیگر

Fausto Francesco Lizzio is a Fixed-term Researcher at the Department of Mechanical and Aerospace Engineering (DIMEAS) within the College of Mechanical, Aerospace and Automotive Engineering at the Polytechnic University of Turin . His work focuses on consensus protocols , distributed control , and unmanned aerial systems (UAVs) . Research Interests: Multi-agent systems, time-delay networks, robotics, and aerospace engineering. Teaching Roles: Course instructor for advanced flight dynamics and collaborator in courses on spacecraft control, flight mechanics, and aerospace simulation. His recent research explores stability-switching properties in multi-agent systems, decentralized target estimation for UAV swarms, and digital twin applications for prognostic health management. These studies intersect aerospace engineering, control theory, and networked robotics. Scientific Contributions: He has been recognized with an open badge for participating in research funding calls through the Rimini School 2025. His publications span journals like IEEE Control Systems Letters , Drones , and conference proceedings for SICE and EASN events.

• Administrative Law
• Public Law
• Constitutional Law
• +۲ مورد دیگر

Francesco Siciliano is an Associate Professor in the Department of Law at the University of Messina, specializing in Administrative and Public Law (Disciplinary Sector GIUR-06/A). His research examines the intersection of technology and governance, constitutional frameworks for public administration, and legal aspects of migration. Recent publications analyze robotization in public services, pandemic emergency law, and migrant integration frameworks. His research interests include: Constitutional dimensions of administrative systems Public sector automation and algorithmic governance Legal frameworks for migrant integration Public finance and municipal accounting reforms Expropriation law and public easements Professor Siciliano leads community initiatives including a coastal heritage preservation project with Giardini Naxos municipality and participates in interdisciplinary research events like the 2023 MEDNIGHT. He teaches core courses in Administrative Law and State Accounting at both undergraduate and graduate levels.

• Computer Vision
• Human-Computer Interaction
• IoT
• +۶ مورد دیگر

Roberto Vezzani is an Associate Professor at the University of Modena and Reggio Emilia's Enzo Ferrari Department of Engineering, specializing in information processing systems (ING-INF/05). Previously Director of the Artificial Intelligence Research and Innovation Center (2018-2021), he holds a PhD in Information Engineering from the same institution. As senior member of AimageLab, he coordinates research on human-computer interaction using multi-sensor systems. His research spans: Computer vision for IoT and video surveillance Motion detection and action classification 3D vision with depth/thermal/event cameras Sensor fusion and automatic video annotation He leads competitive projects funded by Toyota, Ferrari, and EU programs, focusing on industrial applications of computer vision. Recent publications (2024-2025) demonstrate strong focus on 3D pose estimation, robot perception, and efficient embedded vision systems, with applications in automotive, robotics, and UAVs. Awards include: Best Paper - ICPR 2020 (IAPR) Best Paper - VISAPP 2020 Best Paper - THEMIS'2008 Industrial collaborations feature multi-year projects with Ferrari (RedVision lab), Toyota Europe, and Tetra Pak. Teaching includes courses on Computer Architecture, IoT systems, and industrial AI.