جست‌وجوی استاد و پژوهشگر

Graziana Cavoneمشاهده پروفایل

دانشیار

• Automatic Control
• Model Predictive Control
• Cyber-Physical Systems Security
• +۵ مورد دیگر

Associate Professor Graziana Cavone is with the Department of Civil, Computer and Aeronautical Technologies Engineering at Roma Tre University, Rome, Italy. Her research integrates automatic control, optimisation and AI to guarantee safe, secure and efficient operations of cyber-physical systems ranging from industrial robots and drones to water networks and intermodal freight terminals. Education & affiliation: Department of Civil, Computer and Aeronautical Technologies Engineering, Roma Tre University Scientific disciplinary sector ING-INF/04 – Automatic Control Research interests revolve around four pillars: (i) model-predictive and data-driven control of complex dynamic systems, (ii) safe and ergonomic human-robot/human-drone interaction in logistics 4.0 environments, (iii) cyber-security and resilience of industrial control and water-supply networks, and (iv) stochastic optimisation and Petri-net modelling for railway traffic and intermodal freight terminals. Recent 2024-2025 publications exhibit a clear trend toward AI-enabled anomaly detection, digital-twin security frameworks, and socio-technical studies on robot acceptance, while earlier work concentrated on COVID-19 mitigation control and collaborative-robot motion planning. Scientific awards & editorial activity: Guest-editor for IEEE CASE 2018 special section, publicity chair for IEEE CASE 2023; specific prizes not listed in supplied text. Advising & grants: No explicit student lists or funded-project details are provided in the source. Labs & teams: No dedicated laboratory designation is mentioned; research is conducted within the departmental laboratories of Roma Tre University.

Gabriele Pannocchiaمشاهده پروفایل

استاد

• Process Modeling
• Control Systems
• Optimization Techniques
• +۳ مورد دیگر

Prof. Gabriele Pannocchia is a Full Professor at the Department of Civil and Industrial Engineering at the University of Pisa, where he has held roles from Assistant (2006–2015) to Associate (2015–2020) before becoming Full Professor in 2020. He also serves as President of the School of Engineering since November 2022. His research focuses on process modeling, control optimization, and advanced control strategies for industrial systems. He teaches courses in Reaction Engineering, Process Simulation, and Advanced Process Control at the MS level in Chemical and Energy Engineering programs. Education: Laurea (1998) and PhD (2002) in Chemical Engineering from the University of Pisa. PostDoc at the Department of Chemical Engineering (2002–2006). Key research interests include Model Predictive Control (MPC), process optimization, and data-driven modeling for energy systems, industrial automation, and sustainability. He has contributed to advancements in valve stiction mitigation, economic MPC formulations, and Industry 4.0 integration in chemical processes. Editorial Roles: Senior Editor for Journal of Process Control , Associate Editor for Automatica and Processes . Organized international conferences such as IFAC DYCOPS 2013 and IFAC ADCHEM 2021. His work integrates theoretical developments with practical applications in energy, chemical, and environmental engineering sectors. Notable projects include developing MPC tools for industrial PLCs, optimizing lithium-ion battery recycling, and enhancing sustainability of waste-to-energy systems through advanced control methodologies. His research emphasizes bridging computational models with real-world industrial challenges.

Claudio Scaliمشاهده پروفایل

استاد

• Process Control
• Chemical Engineering
• Industrial Plant Performance Monitoring
• +۳ مورد دیگر

Claudio Scali is a Full Professor at the Department of Civil and Industrial Engineering, University of Pisa, specializing in Chemical Engineering. He has held academic roles since 1978, progressing from Assistant to Full Professor since 2001. His primary affiliations include the University of Pisa, where he serves as President of the PhD Council in Chemical Engineering and Materials (2009–2016) and representative in the Administrative Board of Consorzio Polo Tecnologico Magona. He is also President of CLUI AS (Club Utilizzatori Italiani Automazione e Strumentazione) since 2017, focusing on Industry 4.0 training. Education: Graduated in Chemical Engineering (1975, University of Pisa). Visiting roles include California Institute of Technology (1985–87) and Université de Picardie (1996). Teaching focuses on Process Control and Chemical Plant Design, with past roles in Aerospace and Energy Engineering courses. Research interests: Modeling and Control of Chemical Processes, Robust Process Control, Performance Monitoring, and Advanced Diagnosis of Control Loops. Current work emphasizes cloud-based monitoring and Industry 4.0 integration. Collaborations include ENI R&M and ENEL Research. Over 180 publications in journals and conferences, with recent foci on valve stiction analysis, closed-loop monitoring, and cloud architectures. Editorial roles: Associate Editor of the Journal of Process Control (2001–2012), member of IFAC committees. Organized major conferences like IFAC-ADCHEM 2000 in Pisa and contributed to events in Mumbai, Hiroshima, and Milan. Grants/Advising: Collaboration with industrial partners on performance monitoring and diagnostics. Research labs include Polo Magona and IdroLab4.0 for cloud-monitoring applications.

• Mechatronics
• Automotive Engineering
• Hybrid and Electric Vehicles
• +۵ مورد دیگر

Nicola Amati is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Coordinator of the Interdepartmental Center CARS@PoliTO and Director of a test rig facility for electric/hybrid vehicles. Academic Roles: Full Professor since 2020, previously Associate Professor (2014-2020) and Researcher (2002-2014) Key Research Areas: Mechatronic systems for automotive, magnetic levitation, hybrid/electric powertrains, vibration control His recent publications focus on energy-efficient automotive systems, electromagnetic actuation, and mechatronic prosthetics. He has led 21 industry-funded and 12 public-funded research projects. He supervises multiple PhD students and holds 15 patents in automotive mechatronics. His work aligns with SDG Goal 9 and ERC sectors in mechanical engineering.

Marco Storaceمشاهده پروفایل

استاد

• Nonlinear Circuits
• Power Electronics
• Model Predictive Control
• +۴ مورد دیگر

Marco Storace is a Full Professor at the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa. His research focuses on nonlinear circuits, power electronics, and control systems, with a particular emphasis on inductor modeling for switch-mode power supplies (SMPS), model predictive control (MPC) algorithms, and synchronization phenomena in adaptive networks. Recent research highlights include the development of nonlinear behavioral models for ferrite-core and amorphous-core inductors, FPGA implementations of nonlinear MPC for power converters, and studies on cluster synchronization in networks with neural plasticity. His work bridges theoretical advancements in nonlinear dynamics with practical applications in energy systems and biomedical engineering. Marco Storace has received recognition for his contributions to modeling techniques, control system design, and neural connectivity analysis. He has developed toolboxes such as MOBY-DIC for embedded MPC and BAL for dynamical system analysis, advancing methodologies in circuit design and computational neuroscience. He teaches courses on circuit theory, nonlinear circuits and systems, and power management at both undergraduate and master's levels. His teaching integrates advanced concepts with hands-on laboratory work, emphasizing the design and analysis of nonlinear and programmable systems.

• Control Engineering
• Biomedical Engineering
• Pharmacokinetics/Pharmacodynamics (PK/PD)
• +۵ مورد دیگر

Mattia Laurini is a Fixed-term Researcher at the Department of Engineering and Architecture , University of Parma. His academic work focuses on control engineering, biomedical applications, and optimization algorithms, with teaching assignments in Computer Engineering for Master's Degree programs since 2023. Research Interests: Control systems for anesthesia Pharmacokinetics/Pharmacodynamics (PK/PD) modeling Traffic flow estimation Dynamic programming applications Vehicle motion optimization Medical device automation Research Trends: Recent publications (2025) demonstrate interdisciplinary work merging control theory with biomedical applications, particularly in automating anesthesia delivery. Key methodologies include Branch and Bound optimization, dynamic programming for traffic systems, and hybrid control paradigms combining MPC with PID strategies. Research spans both theoretical advances (e.g., acceleration-constrained shortest path algorithms) and clinical applications (e.g., propofol/remifentanil co-administration optimization). Teaching: Laboratory of Control Engineering (2023-2025) Multivariable Systems (2023-2025) Reference teacher for Computer Engineering program Contact: mattia.laurini@unipr.it | Office: Building 1, Parco Area delle Scienze, 181/A 43124 Parma | Phone: 906183

Matteo Scandellaمشاهده پروفایل

استادیار

• Control Systems
• System Identification
• Machine Learning
• +۳ مورد دیگر

Matteo Scandella is an Assistant Professor at the University of Bergamo , Italy, since February 2024. Previously, he served as a post-doctoral researcher at Imperial College London (2020–2024). He holds a PhD in Control Systems (2019) and advanced degrees in Computer Science Engineering from the University of Bergamo (Bachelor 2014, Master 2016). His research focuses on kernel-based machine learning techniques applied to system identification , nonlinear dynamics , and control systems , with emphasis on aerospace applications and mechatronics. He has developed methods for stable nonlinear system modeling, continuous-time system identification, and data-driven control strategies like SelfMPC. Education: Bachelor Degree in Computer Science Engineering (2014) – University of Bergamo Master Degree in Computer Science Engineering (2016) – University of Bergamo PhD in Control Systems (2019) – University of Bergamo Research interests span kernel methods (e.g., manifold regularization, RKHS), stability analysis of nonlinear systems, and data-driven control . His work bridges theoretical advancements with engineering applications such as health monitoring of aerospace actuators and urban traffic optimization. Recent publications highlight innovations in automated MPC tuning and graph-based system identification techniques. Teaching includes courses like Automatica (6 CFU) and laboratory modules in sustainable industrial systems. His research has been published in top journals like Automatica and conferences such as L4DC and SYSID.

Gianni Bianchiniمشاهده پروفایل

دانشیار

• Control Systems Theory
• Aerospace Control
• Smart Grids
• +۵ مورد دیگر

Gianni Bianchini is an Associate Professor at the University of Siena, affiliated with the Department of Information Engineering and Mathematics. His research focuses on control systems theory, aerospace control, smart grids, and haptics. He holds a PhD in Control Systems Engineering from the University of Bologna (2001) and a bachelor's degree in Electronic Engineering from the University of Florence (1997). He teaches courses on Advanced Control Systems and Digital Control at the master's and undergraduate levels. His research emphasizes Model Predictive Control (MPC), spacecraft trajectory optimization, renewable energy systems, and energy management in smart buildings. Notable contributions include robust MPC algorithms for autonomous rendezvous, optimal solar energy storage systems, and haptic interface design. His work often bridges theoretical control methodologies with practical applications in aerospace and energy sectors. Recent publications (2022–2025) highlight advancements in variable-horizon MPC for spacecraft guidance, solar battery optimization, and renewable energy communities. He collaborates with groups like the Systems and Control, Smart Grids, and Aerospace teams at his department. No scientific awards are explicitly mentioned, though his extensive publication record underscores his scholarly impact.

Mir Farooq Aliمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Robotics and Automation
• Materials Science
• +۴ مورد دیگر

Mir Farooq Ali is a Research Fellow at the Department of Information Engineering, Università Politecnica delle Marche, Italy. He is supervised by Professor Andrea Monteriù and is part of the XXXIX cycle of the IIGA (Computer, Management, and Automation Engineering) Ph.D. program. His research focuses on biomedical instrumentation, smart home automation, and ferroelectric materials. He holds a BE in Biomedical Engineering from Hamdard University (Karachi, Pakistan) and an M.Sc. from Università Politecnica delle Marche (2020). Key research projects include developing intelligent robotic systems for home automation platforms aiding frail populations, contactless breathing monitoring systems, and human walking analysis. In 2021, he contributed to a study on ferroelectric nematic liquid crystals, resulting in a PNAS publication on electrostatic instabilities. His work integrates hardware-software design for patient care advancements. Publications span control systems, materials science, and assistive robotics. He is affiliated with the Materials Engineering Laboratory and actively involved in interdisciplinary projects. Contact: m.f.ali@pm.univpm.it .

Stefania Santiniمشاهده پروفایل

استاد

• Nonlinear Control
• Cyber-Physical Systems
• Time-Delayed Systems
• +۷ مورد دیگر

Stefania Santini is a Professor of Systems and Control Engineering at the University of Naples Federico II, leading the Distributed Automation Systems (DAiSY) Lab. Her research focuses on nonlinear control, cyber-physical systems, time-delayed systems, and their applications in automotive engineering, transportation, smart manufacturing, and energy. She has held roles in the Academic Senate (2013–2021) and serves as Senior Editor for IEEE Transactions on Intelligent Transportation Systems and Associate Editor for IEEE Transactions on Control Systems Technology. She actively collaborates with industry on national/international projects, emphasizing resilience and innovation in distributed control systems. Her research investigates distributed automation challenges in multi-agent systems, networked control, and cyber-physical security. Notable areas include fault-tolerant control for autonomous vehicles, resilient microgrid management under cyber-physical threats, and digital twin-based predictive maintenance. Recent work explores AI-driven solutions in smart manufacturing and energy systems, combining domain-specific expertise with advanced control methodologies. Publications span control theory advancements (e.g., time-delay systems stability, event-triggered control) and applied domains (autonomous vehicle platoons, telescope tracking, healthcare analytics). She leads projects addressing real-world challenges like eco-driving optimization for electric vehicles and cyber-resilient infrastructure. Current efforts emphasize sustainability in smart cities and railway automation through hybrid reinforcement learning and optimal control architectures. Her contributions include over 150 peer-reviewed articles and patents, with active engagement in IEEE ITS initiatives. Research outcomes are validated through industry partnerships, lab experiments, and high-fidelity cyber-physical platforms. Key projects involve SME collaboration on predictive maintenance frameworks and microgrid resilience under communication delays/attacks.

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 .

Alessandro Di Giorgioمشاهده پروفایل

دانشیار

• Smart grids and micro-grids control
• Model Predictive Control for energy systems
• Integration of renewable generation and storage
• +۳ مورد دیگر

Alessandro Di Giorgio is Associate Professor of Automatic Control at the Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG) , Sapienza University of Rome, where he teaches courses on Automation, Network Control and Handling, and Modeling & Simulation. He coordinates the Smart Energy Research Group of the Consorzio per la Ricerca nell’Automatica e nelle Telecomunicazioni and acts as scientific referent of the university start-up Applied Research to Technologies . Education Ph.D. in Systems Engineering, Sapienza University of Rome, 2010 M.Sc. in Physics (110/110 cum laude), Sapienza University of Rome, 2005 Research interests revolve around advanced control architectures for future power systems, with particular emphasis on smart-grid planning and real-time operation , model-predictive control of micro-grids , large-scale integration of renewable generation and storage , stochastic optimisation of electric-vehicle charging infrastructures , and cyber-physical security against malicious attacks . His work combines systems theory with practical implementations validated within several European and national projects. Recent publications (2023-24) demonstrate a clear trend toward data-driven and stochastic model-predictive strategies that coordinate millions of grid-edge resources—electric vehicles, batteries, renewable plants—while guaranteeing economic efficiency, reliability and resilience of distribution networks. Projects & Technology Transfer Scientific responsible in 10 EU-funded research projects on smart grids and electromobility Principal Investigator of Italian academic and Industria 2015 programmes Co-founder & scientific reference, start-up Applied Research to Technologies (technology transfer on EV-charging optimisation) He is member of the Networked Systems Cybersecurity initiative and serves as reviewer and organiser for major IEEE conferences on power systems and control.