Analog, Mixed-mode and Power integrated circuits and Systems Group
AMPS
The AMPS Group (Analog, Mixed-mode and Power integrated circuits and Systems Group), operates in the field of analog, mixed-signal, and power electronics, developing advanced and unconventional solutions at the integrated circuit and system level for intelligent and highly energy-efficient integrated systems. The research activities cover the entire design flow, from high-level exploration of innovative architectures to circuit design, up to prototyping and experimental characterization of integrated circuits.
A distinctive feature of the group is the investigation of innovative digital-based solutions for the design of analog and mixed-mode circuits and systems, which overcome the bottlenecks of traditional analog design (e.g., static power consumption, sensitivity to process, voltage, and temperature (PVT) variations, etc...), which are especially critical in advanced technology nodes. Such innovative approaches are key enablers to meet the tight area and power requirements of emerging applications such as next-generation biosensors (wearables, Body Dust) and Internet of Things (IoT) sensor nodes, intended to be powered by energy harvesters and/or millimeter-scale batteries.
In this perspective, the group’s activities are focused on the development of circuits and systems suitable for operation at ultra-low supply voltage (ULV, <0.5V) and ultra-low power consumption (ULP, nW-range), capable of intelligent (self-)reconfiguration and compatible with a digital design flows (standard cell-based). A relevant research area concerns advanced analog interfaces for electrochemical biosensors, where accuracy, robustness, and energy consumption represent key design constraints.
In the field of data conversion, the group studies and develops innovative analog-to-digital and digital-to-analog conversion solutions (e.g., relaxation-based D/A converters and dyadic digital pulse modulation (DDPM)-based solutions), optimized in terms of performance, power consumption, and integration.
In parallel, the group develops advanced solutions for power management (<1 kW), including switching-mode DC-DC converters and renewable energy conversion systems based on partial-power processing (PPP), with the goal of maximizing energy efficiency over a wide range of operating conditions, and ensuring reliability throughout the entire lifecycle. The activities also include modeling and control techniques for power converters and innovative digital pulse-width modulators (DPWM), which are fundamental in high-performance power electronic systems featuring power devices in emerging GaN and SiC technologies.
A further distinctive element of the group is the focus on electromagnetic compatibility (EMC) issues and performance at both integrated circuit and system level, with particular emphasis to immunity to RF interference of analog integrated circuits, and the reduction of electromagnetic emissions in power circuits. In this context, the group develops methodologies that integrate accurate modeling of electromagnetic phenomena with interference mitigation techniques, such as spread-spectrum approaches, contributing to the realization of robust systems compliant with regulatory standards.
A distinctive feature of the group is the investigation of innovative digital-based solutions for the design of analog and mixed-mode circuits and systems, which overcome the bottlenecks of traditional analog design (e.g., static power consumption, sensitivity to process, voltage, and temperature (PVT) variations, etc...), which are especially critical in advanced technology nodes. Such innovative approaches are key enablers to meet the tight area and power requirements of emerging applications such as next-generation biosensors (wearables, Body Dust) and Internet of Things (IoT) sensor nodes, intended to be powered by energy harvesters and/or millimeter-scale batteries.
In this perspective, the group’s activities are focused on the development of circuits and systems suitable for operation at ultra-low supply voltage (ULV, <0.5V) and ultra-low power consumption (ULP, nW-range), capable of intelligent (self-)reconfiguration and compatible with a digital design flows (standard cell-based). A relevant research area concerns advanced analog interfaces for electrochemical biosensors, where accuracy, robustness, and energy consumption represent key design constraints.
In the field of data conversion, the group studies and develops innovative analog-to-digital and digital-to-analog conversion solutions (e.g., relaxation-based D/A converters and dyadic digital pulse modulation (DDPM)-based solutions), optimized in terms of performance, power consumption, and integration.
In parallel, the group develops advanced solutions for power management (<1 kW), including switching-mode DC-DC converters and renewable energy conversion systems based on partial-power processing (PPP), with the goal of maximizing energy efficiency over a wide range of operating conditions, and ensuring reliability throughout the entire lifecycle. The activities also include modeling and control techniques for power converters and innovative digital pulse-width modulators (DPWM), which are fundamental in high-performance power electronic systems featuring power devices in emerging GaN and SiC technologies.
A further distinctive element of the group is the focus on electromagnetic compatibility (EMC) issues and performance at both integrated circuit and system level, with particular emphasis to immunity to RF interference of analog integrated circuits, and the reduction of electromagnetic emissions in power circuits. In this context, the group develops methodologies that integrate accurate modeling of electromagnetic phenomena with interference mitigation techniques, such as spread-spectrum approaches, contributing to the realization of robust systems compliant with regulatory standards.
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Scientific coordinator
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Research team
Research area
Research topics
- Analog electronics
- Mixed mode analog-digital electronics
- Design of analog integrated circuits and mixed-mode
- Analog circuits based on digital techniques
- Ultra-low voltage (<500mV) and/or ultra-low power (nW range) integrated circuits
- Analog interfaces for IoT sensors and biosensors
- A/D and D/A advanced converters
- Power Electronics
- Switching DC-DC converters
- Advanced techniques for modelling and control of DC-DC converters
- Power converters for renewable sources
- Power converters for energy harvesting
- Advanced techniques for power management
- Electromagnetic compatibility
- Electromagnetic compatibility (EMC) in analog and power electronic systems
- Spread-Spectrum techniques for mitigating electromagnetic interference (EMI)
Skills
ERC sectors
SDG
Keywords
Pubblicazioni da archivio istituzionale
Publications from the institutional repository
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Pasero, EROS GIAN ALESSANDRO; Raimondo, Giovanni; Ruffa, S. (In stampa)
MULP: a Multi-Layer Perceptron application to long-term, out-of-sample time series prediction.. In: INTERNATIONAL JOURNAL OF FORECASTING. ISSN 0169-2070 -
Simone, Silvia; Pareschi, Fabio; Lena, Davide; Setti, Gianluca (2026)
Complete Flow for PCB Design Consideration and Power/Signal Integrity Analysis Based on Broadband Model of Parasitic Elements. In: INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, vol. 52, pp. 1216-1222. ISSN 0098-9886 -
Di Benedetto, Marco; Randazzo, Vincenzo; Lidozzi, Alessandro; Accetta, Angelo; Ghione, ... (2026)
Enhanced Neural Real-Time Digital Twin for Electrical Drives. In: APPLIED SCIENCES, vol. 16. ISSN 2076-3417 -
Prono, Luciano; Dhieb, Najmeddine; Bich, Philippe; Boretti, Chiara; Pareschi, Fabio; ... (2026)
FOREST-GC: A conFOrmable Rendering Engine for Synthetic Tree Generation and Counting. In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, vol. 19, pp. 9868-9880. ISSN 1939-1404 -
Simone, Silvia; Hosseini, Amirali; Gabriele, Francesco; Pareschi, Fabio (2026)
Impact of QSW-ZVS on Input EMI Filter Design in DC-DC Converters. In: INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS. ISSN 0098-9886 -
Cavazzana, R.; Haliuk, S.; Ascoli, A.; Vovchuk, D.; Salgals, T.; Bobrovs, V.; Pareschi, ... (2026)
Preserving the Confidentiality of Clinical Images Through a Chaotic Low-Power Hardware Platform and DNA Coding-Based Encryption. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, pp. 1-14. ISSN 1549-8328 -
Prono, Luciano; Bich, Philippe; Boretti, Chiara; Mangia, Mauro; Pareschi, Fabio; ... (2025)
A Multiply-And-Max/Min Neuron Paradigm for Aggressively Prunable Deep Neural Networks. In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 36, pp. 14414-14427. ISSN 2162-237X -
Gabriele, Francesco; Gisonno, Samuele; Fiori, Filippo; Lena, Davide; Musumeci, Salvatore ... (2025)
A Novel Bypass Architecture for RB-COT Buck Converters. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS, vol. 72, pp. 793-797. ISSN 1549-7747 -
Gabriele, Francesco; Carlucci, Antonio; Lena, Davide; Pareschi, Fabio; Rovatti, ... (2025)
A Unified Sampled-Data Small-Signal Model for a Ripple-Based COT Buck Converter With Arbitrary Ripple Injection Network. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, vol. 72, pp. 2942-2955. ISSN 1549-8328 -
Randazzo, V.; Caligari, S.; Pasero, E.; Giustetto, C.; Saglietto, A.; Bertarello, W.; ... (2025)
A Vision Transformer Model for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome. In: SENSORS, vol. 25. ISSN 1424-8220 -
Spinazzola, E.; Picaud, G.; Becchi, S.; Pittarello, M.; Ricci, E.; Chaumont, M.; Subsol, ... (2025)
Chronic Ulcers Healing Prediction through Machine Learning Approaches: Preliminary Results on Diabetic Foot Ulcers Case Study. In: JOURNAL OF CLINICAL MEDICINE, vol. 14. ISSN 2077-0383 -
Abdullah, A.; Musolino, F.; Crovetti, P. S. (2025)
Detection and Suppression of Intentional EMI Attacks to Smart Speakers. In: IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, vol. 67, pp. 545-556. ISSN 0018-9375 -
Crovetti, P.; Dallet, D.; De Vito, L.; Iadarola, G.; Mingotti, A.; Traverso, P. A. (2025)
Fundamentals of Measurement: The IEEE Std. 1658-2023 for Terminology and Test Methods of Digital-to-Analog Converters. In: IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, vol. 28, pp. 7-12. ISSN 1094-6969 -
Bich, Philippe; Prono, Luciano; Boretti, Chiara; Pareschi, Fabio; Rovatti, Riccardo; ... (2025)
MESA: A Dynamical Attention-based Pre-processing Pipeline for High-throughput Event-based Computer Vision Tasks. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS, vol. 72, pp. 2057-2061. ISSN 1549-7747 -
Spinazzola, Elisabetta; Mongardi, Andrea; Rossi, Fabio; Prestia, Andrea; Becchi, Sara; ... (2025)
Motion Tracking for Automatically Controlled Functional Electrical Stimulation System in Mirror Therapy Configuration: The Enhanced Lazarus Solution. In: IEEE ACCESS, vol. 13, pp. 148992-149009. ISSN 2169-3536 -
Gabriele, Francesco; Pareschi, Fabio; Lena, Davide; Rosa Borghi, Maria; Rovatti, ... (2025)
Multi-harmonic EMI reduction optimization of spread spectrum in multiple-RBW environment. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, vol. 72, pp. 3488-3497. ISSN 1558-0806 -
Bich, Philippe; Enttsel, Andriy; Prono, Luciano; Marchioni, Alex; Pareschi, Fabio; ... (2025)
On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons. In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 47, pp. 8297-8304. ISSN 0162-8828 -
Ghione, Giorgia; Randazzo, Vincenzo; Pasero, Eros; Badami, Marco (2025)
Optimal Cogeneration Scheduling: A Comparison of Genetic and POMDP-Based Deep Reinforcement Learning Approaches. In: IEEE ACCESS, vol. 13, pp. 128562-128581. ISSN 2169-3536 -
Rubino, R.; Musolino, F.; Leite Correia de Toledo, P.; Chen, Y.; Richelli, A.; Crovetti, ... (2025)
Relaxation Digital-to-Analog Converters Featuring Self-Calibration and Parasitics-Induced Error Suppression in 180-nm CMOS. In: IEEE ACCESS, vol. 13, pp. 6594-6605. ISSN 2169-3536 -
Meimandi, A.; Barbruni, G. L.; Crovetti, P. S.; Carrara, S. (2025)
Sub- 9 × 29 µm, 1.2nW, Fully Digital Potentiostat Design for Dopamine Sensing. In: IEEE SENSORS JOURNAL, vol. 25, pp. 38792-38799. ISSN 1530-437X