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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information
LecturerRoveri Manuel
QualificationFull professor full time
Belonging DepartmentDipartimento di Elettronica, Informazione e Bioingegneria
Scientific-Disciplinary GroupIINF-05/A - Information Processing Systems
Curriculum VitaeDownload CV (458.73Kb - 25/07/2022)
OrcIDhttps://orcid.org/0000-0001-7828-7687

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Office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Dipartimento di Elettronica, Informazione e Bioingegneria - Edificio 20------MondayFrom 11:
To 12:
------It is possible to schedule a meeting by email in a different day of the week/time of the day.
E-mailmanuel.roveri@polimi.it
Personal websitehttp://roveri.faculty.polimi.it

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2026 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic (Show >>)
InfoQ: Mixed-Precision Quantization via Global Information Flow (Show >>)
Journal Articles
Cerberus: Advancing Continuous On-Device Learning with Multi-Head Object Detection (Show >>)
EmbBERT: Attention under 2 MB memory (Show >>)
Long-Term Time Series Forecasting: The Good, the Bad, and the Ugly (Show >>)
Measuring Methane Emissions in Ambient Air with a Low-Cost, Portable Sensor System: Focus on Scalability and Transferability of the Model (Show >>)
Training TFHE-Based Neural Networks with Approximated Floating-Point Arithmetic (Show >>)


List of publications and reserach products for the year 2025 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Patents
SYSTEM AND COMPUTER-IMPLEMENTED METHOD FOR PROCESSING INPUT DATA THROUGH A NEURAL NETWORK USING A DYNAMIC NESTED QUANTIZATION, WEARABLE DEVICE COMPRISING SUCH A SYSTEM (Show >>)
Contributions on scientific books
Sensitivity Analysis Exploration of ML Architectures to TinyML Techniques (Show >>)
Conference proceedings
A Survey of Quantization Techniques in Embedded AI Toolchains (Show >>)
CEED: Collaborative Early Exit Neural Network Inference at the Edge (Show >>)
DYNAMAX: Dynamic computing for Transformers and Mamba based architectures (Show >>)
Dendron: Enhancing Human Activity Recognition With on-Device Tinyml Learning (Show >>)
Enhancing Privacy-Preserving Cancer Classification with Convolutional Neural Networks (Show >>)
HEDEL: Homomorphically Encrypted Distributed Ensemble Learning (Show >>)
Low-cost portable sensor toolbox for methane emissions quantification in landfills (Show >>)
NITRO-D: Native Integer-Only Training of Deep Convolutional Neural Networks (Show >>)
On-Sensor Convolutional Neural Networks with Early-Exits (Show >>)
Preliminary evaluation of a portable electronic nose for landfill odours classification and quantification (Show >>)
Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting (Show >>)
TActiLE: Tiny Active LEarning for wearable devices (Show >>)
Unveiling the Potential of Tiny Machine Learning for Enhanced People Counting in UWB Radar Data (Show >>)
VETT: VectorDB-Enabled Transfer-Learning for Time-Series Forecasting (Show >>)
Journal Articles
Advancements in Context Recognition for Edge Devices and Smart Eyewear: Sensors and Applications (Show >>)
Architecture-aware minimization (A2M): how to find flat minima in neural architecture search (Show >>)
Big Data, Machine Learning, and Personalization in Health Systems: Ethical Issues and Emerging Trade-Offs (Show >>)
NACHOS: Neural Architecture Search for Hardware-Constrained Early-Exit Neural Networks (Show >>)
SELA: Smart Edge LLM Agent to Optimize Response Trade-offs of AI Assistants (Show >>)
Training multi-layer binary neural networks with random local binary error signals (Show >>)


List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Integrated modelling for water resource management during droughts (Show >>)
Poster
Innovative approach to monitor GHG emissions from landfills and brownfield sites by combining ground measurements and satellite observations: first research activities for the development of a low-cost sensor toolbox (Show >>)
Patents
COMPUTER IMPLEMENTED METHOD FOR OBTAINING AN OUTPUT RESPONSE TO A NATURAL LANGUAGE INPUT PROMPT (Show >>)
WEARABLE DEVICE WITH A HUMAN ACTIVITY RECOGNITION SYSTEM AND A HUMAN ACTIVITY RECOGNITION METHOD FOR DETERMINING THE HUMAN ACTIVITY OF A USER WEARING THE WEARABLE DEVICE (Show >>)
Contributions on scientific books
ChainNet: A Customized Graph Neural Network Model for Loss-Aware Edge AI Service Deployment (Show >>)
Conference proceedings
A Layer-Wise Personalization Approach for Transformer-Based Federated Anomaly Detection (Show >>)
An Efficient Neural Architecture Search Model for Medical Image Classification (Show >>)
FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness (Show >>)
Modellazione integrata per la gestione urbana delle risorse idriche durante periodi di siccità (Show >>)
StreamTinyNet: video streaming analysis with spatial-temporal TinyML (Show >>)
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World (Show >>)
TinySV: Speaker Verification in TinyML with On-device Learning (Show >>)
Training Encrypted Neural Networks on Encrypted Data with Fully Homomorphic Encryption (Show >>)
Scientific Books
RECKON: Tecnologie abilitanti per il monitoraggio degli elementi di contesto (Operatore-Macchina-Ambiente) per la prevenzione di incidenti sul lavoro (Show >>)
Journal Articles
EVAD: encrypted vibrational anomaly detection with homomorphic encryption (Show >>)
Evolving Fuzzy Prediction Intervals in Nonstationary Environments (Show >>)
INNOVATIVE APPROACH TO MONITOR GHG EMISSIONS FROM LANDFILLS AND BROWNFIELD SITES BY COMBINING GROUND MEASUREMENTS AND SATELLITE OBSERVATIONS (Show >>)
Scheduling Inputs in Early Exit Neural Networks (Show >>)
The ESCAPE Project: Sensor Selection for the Development of a Portable System for Landfill Surface Emission Monitoring (Show >>)
Tiny Machine Learning for Concept Drift (Show >>)


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting (Show >>)
Conference proceedings
EDANAS: Adaptive Neural Architecture Search for Early Exit Neural Networks (Show >>)
GreenTea: Time-series Exploration as-a-Service for environmental science (Show >>)
Is Tiny Deep Learning the New Deep Learning? (Show >>)
TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment (Show >>)
To Personalize or Not To Personalize? Soft Personalization and the Ethics of ML for Health (Show >>)
Journal Articles
A Tiny Transformer-Based Anomaly Detection Framework for IoT Solutions (Show >>)
TyBox: an automatic design and code-generation toolbox for TinyML incremental on-device learning (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
AI, Machine Learning e Data Mining (Show >>)
Conference proceedings
CNAS: Constrained Neural Architecture Search (Show >>)
On-device Subject Recognition in UWB-radar Data with Tiny Machine Learning (Show >>)
Privacy-preserving time series prediction with temporal convolutional neural networks (Show >>)
T4C: A Framework for Time-Series Clustering-as-a-Service (Show >>)
TinyML for UWB-radar based presence detection (Show >>)
Journal Articles
A transfer-learning approach for corrosion prediction in pipeline infrastructures (Show >>)
Leak detection and localization in water distribution networks by combining expert knowledge and data-driven models (Show >>)
Privacy-Preserving Deep Learning With Homomorphic Encryption: An Introduction (Show >>)
manifesti v. 3.15.1 / 3.15.1
Area Servizi ICT
13/10/2026