P. Nannipieri et al., "VLSI Design of Advanced-Features AES Cryptoprocessor in the Framework of the European Processor Initiative," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 30, no. 2, pp. 177-186, Feb. 2022, doi: 10.1

This article presents a cryptographic hardware (HW) accelerator supporting multiple advanced encryption standard (AES)-based block cipher modes, including the more advanced cipher-based MAC (CMAC), counter with CBC-MAC (CCM), Galois counter mode (GCM),...

P. Nannipieri, S. Di Matteo, L. Zulberti, F. Albicocchi, S. Saponara and L. Fanucci, "A RISC-V Post Quantum Cryptography Instruction Set Extension for Number Theoretic Transform to Speed-Up CRYSTALS Algorithms," in IEEE Access, vol. 9, pp. 150798-150

In recent years, public-key cryptography has become a fundamental component of digital infrastructures. Such a scenario has to face a new and increasing threat, represented by quantum computers. It is well known that quantum computers in the next years...

De Luca, A., Muratore, L., Raghavan, V.S., Antonucci, D. and Tsagarakis, N.G., 2021. Autonomous Obstacle Crossing Strategies for the Hybrid Wheeled-Legged Robot Centauro. Frontiers in Robotics and AI, 8.

ABSTRACT The development of autonomous legged/wheeled robots with the ability to navigate and execute tasks in unstructured environments is a well-known research challenge. In this work we introduce a methodology that permits a hybrid legged/wheeled...

V. S. Raghavan, D. Kanoulas, D. G. Caldwell and N. G. Tsagarakis, "Reconfigurable and Agile Legged-Wheeled Robot Navigation in Cluttered Environments With Movable Obstacles," in IEEE Access, vol. 10, pp. 2429-2445, 2022, doi: 10.1109/ACCESS.2021.3139

Abstract: Legged and wheeled locomotion are two standard methods used by robots to perform navigation. Combining them to create a hybrid legged-wheeled locomotion results in increased speed, agility, and reconfigurability for the robot, allowing it to...

M. Cococcioni, F. Rossi, E. Ruffaldi, S. Saponara, "Small reals representations for Deep Learning at the edge: a comparison", Conference on Next Generation Arithmetic (CoNGA'22)

Abstract: The pervasiveness of deep neural networks (DNNs) in edge devices enforced new requirements on information representation. Low precision format from 16 bits down to 1 or 2 bits have been proposed in the last years. In this paper we aim to...

M. Cococcioni, F. Rossi, E. Ruffaldi, S. Saponara, "Experimental Results of Vectorized Posit-Based DNNs on a Real ARM SVE High Performance Computing Machine", ApplePies 2021

Abstract: With the pervasiveness of deep neural networks in scenarios that bring real-time requirements, there is the increasing need for optimized arithmetic on high performance architectures. In this paper we adopt two key visions: i) extensive use...

English for Research Publication and Presentation Purposes

E. Rapuano, T. Pacini, L. Fanucci - "A Post-training Quantization Method for the Design of Fixed-Point-Based FPGA/ASIC Hardware Accelerators for LSTM/GRU Algorithms", Hindawi Computational Intelligence and Neuroscience journal, 11 May 2022

Recurrent Neural Networks (RNNs) have become important tools for tasks such as speech recognition, text generation, or natural language processing. However, their inference may involve up to billions of operations and their large number of parameters...

Ciampi, L., Carrara, F., Amato, G., and Gennaro, C.: "Counting or Localizing? Evaluating Cell Counting and Detection in Microscopy Images.", 17th International Conference on Computer Vision Theory and Applications (VISAPP 2021), 6-8 February, 2022

Vecchio A., Anastasi G., Coccomini D., Guazzelli S., Lotano S., Zara G. (2020) Labeling of Activity Recognition Datasets: Detection of Misbehaving Users. In: O'Hare G., O'Grady M., O’Donoghue J., Henn P. (eds) Wireless Mobile Communication and Health

Automatic recognition of user’s activities by means of wearable devices is a key element of many e-health applications, ranging from rehabilitation to monitoring of elderly citizens. Activity recognition methods generally rely on the availability of...

M. Bresciani, G. Peralta, F. Ruscio, S. Tani, V. Manzari, L. Bazzarello, A. Caiti and R. Costanzi - "ASV acoustically tracking and following an AUV: preliminary experimental evaluation”, Oceans Porto 2021

In the robotics field, cooperative approaches involving robot swarms represent a challenging task, in order to guarantee robots safety and accomplish mission goals. This problem becomes more severe when missions involve under-water vehicles, due to...

Bolettieri, S., Bruno, R., and Mingozzi, E. Joint Device Association and Resource Allocation for Time-critical IoT Applications in MEC-empowered 5G Networks. In 2021 IEEE International Conference on Smart Computing (SMARTCOMP 2021). (pp. 175-180)

Multi-access edge computing (MEC) is emerging as an effective solution to fulfil the requirements of time-critical Internet of Things (IoT) applications. However, to improve the network efficiency and QoS support of MEC systems, it is essential to...

Bolettieri, S., Bruno, R., and Mingozzi, E. (2021, 05). Application-aware resource allocation and data management for MEC-assisted IoT service providers. Journal of Network and Computer Applications. (Vol. 181, 103020).

To support the growing demand for data-intensive and low-latency IoT applications, Multi-Access Edge Computing (MEC) is emerging as an effective edge-computing approach enabling the execution of delay-sensitive processing tasks close to end-users....

Bertelli E, Mercatelli L, Marzi C, Pachetti E, Baccini M, Barucci A, Colantonio S, Gherardini L, Lattavo L, Pascali MA, Agostini S, Miele V. Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI

Bertelli E.*, Mercatelli L.*, Marzi C.*, Pachetti E., Baccini M., Barucci A., Colantonio S., Gherardini L., Lattavo L., Pascali M. A., Agostini S. and Miele V. * These authors share the first authorship Prostate cancer (PCa) is the most frequent male...

Vignali, E., Gasparotti, E., Capellini, K., Fanni, B. M., Landini, L., Positano, V., & Celi, S. (2021). Modeling biomechanical interaction between soft tissue and soft robotic instruments: importance of constitutive anisotropic hyperelastic formulati

Vignali, E., Gasparotti, E., Landini, L., & Celi, S. (2021). Development and Realization of an Experimental Bench Test for Synchronized Small Angle Light Scattering and Biaxial Traction Analysis of Tissues. Electronics, 10(4), 386.

Cavallo A, Gasparotti E, Losi P, Foffa I, Al Kayal T, Vignali E, Celi S, Soldani G. Fabrication and in-vitro characterization of a polymeric aortic valve for minimally invasive valve replacement. J Mech Behav Biomed Mater. 2021 Mar;115:104294.

di Bartolo, F., Vignali, E., Gasparotti, E., Malacarne, A., Landini, L., & Celi, S. (2021). Numerical Simulations of Light Scattering in Soft Anisotropic Fibrous Structures and Validation of a Novel Optical Setup from Fibrous Media Characterization.

K. Capellini, E. Gasparotti, U. cella, E. Costa, B.M. Fanni, C. Groth, S. Porziani, M.E. Biancolini and S. Celi. A novel formulation for the study of the ascending aortic fluid dynamics with in vivo data. Medical Engineering & Physics, 91, 68-78.

S. Celi, E. Vignali, K. Capellini and E. Gasparotti. On the role and effects of uncertainties in cardio-vascular in-silico analyses. Frontiers in Medical Technology. (Vol. 65), December 2021.