Jacopo Iannacci
Fondazione Bruno Kessler, Fraunhofer Institute for Reliability and Microintegration, Universita degli Studi di Bologna Dipartimento di Informatica Scienza e Ingegneria
Research areas: Engineering · Electrical and Electronic Engineering · Advanced MEMS and NEMS Technologies · Acoustic Wave Resonator Technologies · Microwave Engineering and Waveguides
About
Jacopo Iannacci is Researcher in MEMS technology at the Fondazione Bruno Kessler (FBK) in Trento, Italy, where he focuses on (compact) modeling, design, optimization, integration, packaging and testing for reliability of MEMS/RF-MEMS devices and networks for sensors/actuators, energy harvesting and telecommunication systems. He received the MSc Degree in Electronic Engineering (2003) and the PhD in Information Technology (2007) from the ARCES Research Center at the University of Bologna, Italy, and worked as Visiting Researcher (2005-2006) at the DIMES Technology Center of the Technical University of Delft, the Netherlands, on development of packaging and integration solutions for RF-MEMS devices. Jacopo Iannacci authored and co-authored numerous scientific contributions for international journals and conference proceedings, as well as books and several book chapters in the field of MEMS and RF-MEMS technology.
Employment
- 2016 - 2016
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Autoritatea Nationala pentru Cercetare Stiintifica International Expert Evaluator2015 - 2016
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Fondazione Bruno Kessler Researcher2007 - Present
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Università degli Studi di Bologna Post Doc2007 - 2007
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Technische Universiteit Delft Visiting Reseacher2005 - 2006
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Università degli Studi di Bologna PhD Candidate2004 - 2007
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Università degli Studi di Bologna Research Assistant2003 - 2003
Education
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Universita degli Studi di Bologna Dipartimento di Informatica Scienza e Ingegneria PhD in Information Technologies2004 - 2007
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Universita degli Studi di Bologna Master of Science (MSc) in Electronic Engineering1996 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (393)
- Microsystem technologies briefs: edge intelligence and local self-management Save
- RF-MEMS switches implementing vertical swing variation of contacts for functional diversity and lifetime modulation in view of 6 G, beyond-6G, edge intelligence and future networks Save
- Q3-2026: a magnifying glass on some relevant topics recently published on the journal Save
- Artificial neural networks for the future communication standards: case study of a RF-MEMS switch for W band applications Save
- Microsystem technologies briefs: centralization vs. distribution of intelligence Save
- Investigation of a bistable nonlinear hybrid energy harvester (NL-HEH) for wideband applications Save
- Microsystem technologies briefs: relentless volume of data increase Save
- Microsystem technologies briefs: densification of physical edge devices Save
- Sputtered Piezoelectric AlN Thin Films: Parameter Optimisation, Deposition Challenges, and Emerging Perspectives—A Review Save
- Artificial Neural Network-Based Analysis of (81–86) GHz E-Band RF-MEMS Switches Save
- Q2-2026: A magnifying glass on some relevant topics recently published on the journal Save
- Q1-2026—A magnifying glass on some relevant topics recently published on the journal Save
- The microsystem technologies journal at the forefront of a groundbreaking ecosystem empowered by microtechnologies and nanotechnologies Save
- A Dual-Band Polarized Reconfigurable MEMS Based Frequency Selective Surfaces (FSS) Save
- A Novel Design and Modelling Procedure for Geometric Optimization of MEMS Proof Mass for Low-Frequency Operation Save
- A Seawater Antenna for Emergency Applications Save
- AI-Driven Modeling of Ultra-Low Power RF-MEMS Switches for 6G and Future Space Networks Save
- Considerations on Novel Network Edge Physical Node Architectures: Leveraging Unprecedented (Bottom-up) Technology-centric Approaches Empowered by Micro/Nanotechnologies (MEMS/NEMS) and Federated Learning, with an Outlook on AI/5G-empowered Applications Save
- Considerations on Transformative Needs at the Edge of 6G and of Future Networks Save
- Design and Analysis of Novel RF MEMS Switch for Smart Sensors and IoT Applications Save