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Anna Chiara LaiView profile

Researcher

• Control Systems
• Fractional Calculus
• Optimal Control
• +3 more

Anna Chiara Lai is a Researcher at the Department of Basic and Applied Sciences for Engineering at Sapienza University of Rome. Her academic work focuses on control systems, fractional calculus, and robotics modeling. She teaches courses in Mathematical Analysis and Mathematical Methods for Engineering students. Her research explores topics such as optimal control strategies for soft manipulators, fractional differential equations in epidemic modeling, and stability analysis of unbounded control systems. Her research interests include control theory applications (e.g., robotic arms, hyper-redundant systems), fractional calculus (e.g., generalized binomials, SIS models), and mathematical modeling in epidemiology and mechanics. Recent work emphasizes bio-inspired robotics, such as octopus tentacle mechanics and soft manipulator optimization. Her publications span journals like Acta Mathematica Hungarica , Journal of Optimization Theory and Applications , and SIAM Journal on Control and Optimization . She contributes to projects like Mathematical control models and applications , aiming to bridge theoretical control systems with practical engineering solutions. Dr. Lai’s advising and grants are not explicitly detailed, but her teaching and research reflect a strong commitment to both academic instruction and applied scientific exploration. She maintains an institutional email (annachiara.lai@uniroma1.it) and actively engages with students via Google Classroom for course materials and office hours (Mondays 1:30–3:30 PM).

• Fractional-order controllers
• Non-integer-order controllers
• Fractional-order PID controllers
• +11 more

Guido Maione is an Associate Professor in the Department of Electrical and Information Engineering at the Polytechnic University of Bari. His academic specialization is Systems and Control Engineering (SSD IINF-04/A). His research spans multiple advanced areas in control systems engineering: Fractional-order controllers and non-integer-order systems Automotive systems modeling and control of engines and injection systems Machine learning applications in agriculture and food industry robotics Fault detection and identification systems Industrial automation and Industry 4.0 technologies Professor Maione teaches Control Systems (9 ECTS) for third-year Bachelor's students in Electrical Engineering, Digital Control (6 ECTS) for Master's students, and has taught Non-integer order systems in the Doctoral School for multiple academic years (2021-2024). His scientific work bridges theoretical control methodologies with practical implementations across automotive, agricultural, and industrial domains, with particular emphasis on fractional-order control approaches that offer advantages over traditional control systems in complex applications. Professor Maione maintains an active scholarly presence documented through IRIS, Scopus, Google Scholar, and ORCID academic platforms. He holds regular office hours on Tuesdays and Wednesdays from 9:00-11:00 and can be contacted at guido.maione@poliba.it or +39 080 596 3247.

• Mathematical Physics
• Network Theory
• Kinetic Theory
• +4 more

Jonathan Franceschi serves as a Visiting Professor in the Department of Mathematics at the University of Pavia, maintaining an office in room C11. His academic profile is anchored in the Mathematical Physics research group, with active contributions to interdisciplinary mathematical modeling. His research spans Mathematical Physics, Network Theory, Kinetic Theory, and Fractional Calculus, with pronounced applications in social dynamics and public health. Key focus areas include epidemic modeling, opinion polarization mechanisms, and fake news diffusion—particularly examining Italian vaccination hesitancy during the Covid-19 pandemic. His methodological toolkit integrates kinetic equations, graph theory, and optimal control frameworks for complex networked systems. Analysis of his 15 publications (2019–2025) reveals a cohesive trajectory: early work established foundations in fractional calculus and numerical methods, while recent research pivots toward data-driven social modeling. Dominant themes include consensus optimization with condensation phenomena, graphon-based opinion dynamics, and uncertainty quantification in epidemic control—all demonstrating rigorous mathematical formalism applied to real-world sociotechnical challenges. Franceschi actively supports academic community initiatives including Five o'clock TeX (offering LaTeX courses via Zoom), The break bridge (curating educational handouts), and the CompMat poster template project. His digital scholarship footprint is visible through arXiv, ResearchGate, ORCID, and Google Scholar profiles.