Michele Scarpiniti (0000-0002-3164-6256)

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Michele Scarpiniti is currently an Associate Professor at the Department of Information Engineering, Electronics and Telecommunication (DIET) of the University of Rome "La Sapienza", since 2020. Previously, from March 2008, he was an Assistant Professor at the same Department.
Michele Scarpiniti's current research interests are in the field of nonlinear signal processing, circuit and algorithms for audio signal processing, array signal processing and blind source separation. He works on nonlinera adaptive filtering, with a particular emphasis in nonlinear system identification. Other research interests concerned with the monophonic/stereophonic echo cancellation in adverse environment and in presence of strong nonlinear distortion and with the acoustic source localization. He is also interested in machine learning and neural networks for signal processing.
From 2008/2009 Prof. Scarpiniti teaches "Electrical Engineering" in the course of Safe Engineering and from 2009/2010 he teaches "Laboratory for Multimedia Elaboration" in the course of Communication Engineering and in 2012/13 he also teaches “Discrete Time Circuits Theory”.
Moreover Michele Scarpiniti is a member of "Institute of Electrical and Electronics Engineers" (IEEE), of "Audio Engineering Society" (AES), for which he is a member of the Board of the Italian Section, and of "Società Italiana Reti Neuroniche" (SIREN).
From 2006 he has served regularly as a reviewer for several international journals and conferences.

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Università degli Studi di Roma La Sapienza: Roma, Lazio, IT

2020-09-01 to present | Associate Professor (Department of Information Engineering, Electronics and Telecommunications)

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Michele Scarpiniti

https://orcid.org/0000-0002-3164-6256

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Università degli Studi di Roma La Sapienza: Roma, Lazio, IT

Università degli Studi di Roma La Sapienza: Roma, Lazio, IT

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Universita degli Studi di Roma La Sapienza: Roma, Lazio, IT

Works (50 of 78)

Arrhythmia Detection by Data Fusion of ECG Scalograms and Phasograms

Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments

A Scalogram-Based CNN Approach for Audio Classification in Construction Sites

Twinned Residual Auto-Encoder (TRAE)—A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling

How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study

AFAFed—Asynchronous Fair Adaptive Federated learning for IoT stream applications

Exploiting probability density function of deep convolutional autoencoders’ latent space for reliable COVID-19 detection on CT scans

A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection

Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms

A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images

An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease

DeepFogSim: A Toolbox for Execution and Performance Evaluation of the Inference Phase of Conditional Deep Neural Networks with Early Exits Atop Distributed Fog Platforms

Advanced Sound Classifiers and Performance Analyses for Accurate Audio-Based Construction Project Monitoring

Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications

EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications

SmartFog: Training the Fog for the Energy-Saving Analytics of Smart-Meter Data

VirtFogSim: A Parallel Toolbox for Dynamic Energy-Delay Performance Testing and Optimization of 5G Mobile-Fog-Cloud Virtualized Platforms

Fog-Supported Delay-Constrained Energy-Saving Live Migration of VMs Over MultiPath TCP/IP 5G Connections

Steady-State Performance of an Adaptive Combined MISO Filter Using the Multichannel Affine Projection Algorithm

Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers

Q *: Energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers

Steady-State Performance of Spline Adaptive Filters

Improving nonlinear modeling capabilities of functional link adaptive filters

Integration of audio and video clues for source localization by a robotic head

Intelligent Acoustic Interfaces with Multisensor Acquisition for Immersive Reproduction

Novel Cascade Spline Architectures for the Identification of Nonlinear Systems

Online selection of functional links for nonlinear system identification

Online Sequential Extreme Learning Machine with Kernels

Significance-based pruning for reservoir’s neurons in echo state networks

A preliminary study on Transductive Extreme Learning Machines

Advanced intelligent acoustic interfaces for multichannel audio reproduction

An effective criterion for pruning reservoir's connections in Echo State Networks

GP-based kernel evolution for L2-Regularization Networks

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties

Microphone array based classification for security monitoring in unstructured environments

Nonlinear acoustic echo cancellation based on sparse functional link representations

Nonlinear system identification using IIR Spline Adaptive Filters

Proportionate algorithms for Blind Source Separation

Security monitoring based on joint automatic speaker recognition and blind source separation

Combined adaptive beamforming schemes for nonstationary interfering noise reduction

Combined adaptive beamforming techniques for noise reduction in changing environments

Convergence properties of nonlinear functional link adaptive filters

Convex combination of MIMO filters for multichannel acoustic echo cancellation

Functional link adaptive filters for nonlinear acoustic echo cancellation

Intelligent acoustic interfaces for immersive audio

Interactive quality enhancement in acoustic echo cancellation

Localization of audio sources by multiple binaural sensors

Music classification using extreme learning machines

Nonlinear spline adaptive filtering

Peer review (92 reviews for 29 publications/grants)