G. Falzone, G. Giuffrida, S. Panicacci, M. Donati, L. Fanucci, "Simulation Framework to Train Intelligent Agents towards an Assisted Driving Power Wheelchair for People with Disability", Proceedings of the 13th ICAART 2021

M. Marini, S. Panicacci, M. Donati, L. Fanucci, et al., "An Easily Integrable Industrial System for Gamma Spectroscopic Analysis and Traceability of Stones and Building Materials", Sensors 2021, 21, 352

S. Panicacci, M. Donati, F. Profili, P. Francesconi, L. Fanucci, "Trading-Off Machine Learning Algorithms towards Data-Driven Administrative Socio-Economic Population Health Management", Computers 2021, 10, 4

M. Cococcioni, F. Rossi, E. Ruffaldi and S. Saponara. A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications. IEEE Transactions on Emerging Topics in Computing, 2021

Abstract: Nowadays, two groundbreaking factors are emerging in neural networks. Firstly, there is the RISC-V open instruction set architecture (ISA) that allows a seamless implementation of custom instruction sets. Secondly, there are several novel...

N. Bonelli, F. Del Vigna, A. Fais, G. Lettieri, G. Procissi: "Programming Socket-Independent Network Functions with Nethuns", 2022, ACM SIGCOMM Computer Communication Review (CCR), Vol. 52, Issue 2, Pages 35-48. DOI: 10.1145/3544912.3544917.

M. Franchi, A. Bucci, L. Zacchini, A. Ridolfi, M. Bresciani, G. Peralta and R. Costanzi, "Maximum A-Posteriori estimation for AUV localization with USBL measurements”, IFAC CAMS 2021

Bresciani, Peralta, Ruscio, Costanzi, Zacchini, Franchi, Topini, Ridolfi, Bazzarello, Manzari, Krupinksi, Maurelli,"Localisation Approaches for Underwater Autonomy within the EUMarineRobots H2020 project: experimental activity at SEALab”, Oceans 2021

M. Bresciani, G. Peralta, F. Ruscio, L. Bazzarello, A. Caiti and R. Costanzi - "Cooperative ASV/AUV system exploiting active acoustic localization”, IROS 2021

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

M.Basile, G. Nardini, P. Perazzo and G. Dini, "On Improving SimBlock Blockchain Simulator", 2021 IEEE Symposium on Computers and Communications (ISCC), 2021

Bitcoin-based smart city services are an ever increasing up-and-coming reality. For these services, simulating the Bitcoin blockchain is important to parametrize the system and tailor the costs and the economic incentives. In this regard, SimBlock...

N. Biasi, N. Carbonaro, L. Arcarisi, and A. Tognetti. "Combining physics-based simulation and machine learning for EIT-based tactile sensing." 2020 IEEE Sensors. IEEE, 2020.

Abstract This work reports an innovative approach toward the development of tactile sensors based on electrical impedance tomography. Our approach couples the implementation of the forward model through a physics-based general purpose FEM software and...

N. Biasi, and A. Tognetti. "3D Model of the Heart Electrical Activity with Heterogeneous Ventricular Action Potentials." 2020 Computing in Cardiology. IEEE, 2020.

Abstract We developed a three-dimensional finite element model of the electrical activity of the whole heart embedded in the torso that is proposed as an useful tool to simulate ECG signals both in healthy and pathological conditions. The electrical...

N. Biasi, and A. Tognetti. "Modelling whole heart electrical activity for ischemia and cardiac pacing simulation." Health and Technology 10.4 (2020): 837-850.

Abstract We developed a finite element model of the electrical activity of the whole heart embedded in the torso that is proposed as an useful tool to simulate myocardial ischemia and cardiac pacing. The electrical activity of the cardiac tissue is...

G. Erdogan et al., ‘Developing Cyber-risk Centric Courses and Training Material for Cyber Ranges: A Systematic Approach’:, in Proceedings of the 7th International Conference on Information Systems Security and Privacy - ICISS, 2021, pp. 702–713

The use of cyber ranges to train and develop cybersecurity skills and awareness is attracting more attention, both in public and private organizations. However, cyber ranges typically focus mainly on hands-on exercises and do not consider aspects such...

A.Bischi et al., ‘Enabling low-voltage, peer-to-peer, quasi-real-time electricity markets through consortium blockchains’, Appl. Energy, vol. 288, p. 116365, Apr. 2021

Variable renewable energy sources are continuously increasing their share in the world energy mix. However, their uncertainty has a deep impact in the electric grid safe operation. One of the most promising solutions to tackle such challenge at a...

M. Basile, G. Dini, F. Vernia, and L. Lamoglie, “A Secure and Efficient Group Key Management Scheme for Clusters of String Inverters,” Applied Sciences, vol. 10, no. 21, p. 7900, Nov. 2020.

A string inverter converts the low voltage direct current coming from the string of its Photovoltaic (PV) panels into alternating current to be exported to the grid. In today Smart Grid’s context, PV plants feature clusters of cooperating smart string...

M. Basile, G. Dini, and D. Varano, ‘CYBERWISER.eu: Innovative Cyber Range Platform for Cybersecurity Training in Industrial Systems’, Electron. Commun. EASST, vol. 79, no. 0, Art. no. 0, May 2021, doi: 10.14279/tuj.eceasst.79.1114.

Information technologies are nowadays part of industrial systems. Employees in charge of managing these systems typically have little or very little knowledge of cybersecurity. In this work we initially explore the challenges related to cybersecurity...

Lai L., Fiaschi L., Cococcioni M., and Deb K. Solving mixed Pareto-lexicographic multi-objective optimization problems: The case of pri-ority levels.IEEE Transaction on Evolutionary Computation, 2021,doi:10.1109/TEVC.2021.3068816

ABSTRACT This paper concerns the study of Mixed Pareto-Lexicographic Multi-objective Optimization Problems where the objectives must be partitioned in multiple priority levels. A priority level (PL) is a group of objectives having the same importance...

Cococcioni M., Fiaschi L., and Lambertini L. Non-Archimedean zero-sum games. Journal of Computational and Applied Mathematics, 2021,doi:10.1016/j.cam.2021.113483.

ABSTRACT Zero-sum games are a well known class of game theoretic models, which are widely used in several economics and engineering applications. It is known that any two-player finite zero-sum game in mixed-strategies can be solved, i.e., one of its...

Lai L., L. Fiaschi, M. Cococcioni, and Deb K. Handling priority levels in mixed Pareto-lexicographic many-objective optimization problems. 11th Edition of International Conference Series on Evolutionary Multi-Criterion Optimization (EMO2021), 2020

ABSTRACT This paper studies a class of mixed Pareto-Lexicographic multi-objective optimization problems where the preference among the objectives is available in different priority levels (PLs) before the start of the optimization process -- akin to...