Development of a Multi-Core RISC-V SoC for Harsh EnvironmentsPersona da contattare:
LUCA CASSANOEmail:
luca.cassano@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica
Altri membri del gruppo di ricerca:
Dr. Luigi Dilillo (University of Montpellier, France)Pagina Web:
https://cassano.faculty.polimi.it/Descrizione
Descrizione:
Radiation-induced effects, such as Single Event Upsets (SEU) and Total Ionizing Dose (TID), pose significant challenges for electronic systems operating in space and other harsh environments. This internship will focus on extending an existing RISC-V-based System-on-Chip to a multi-core architecture in order to enhance performance and fault tolerance against radiation effects. The work involves modifying the existing VHDL design to support multiple cores, implementing inter-core communication and synchronization, and integrating fault-mitigation techniques. Candidates should have experience in VHDL, processor architecture, C programming, and microcontrollers.
Nascondi Descrizione
End-to-end simulation of 5G non-terrestrial positioningPersona da contattare:
MATTIA BRAMBILLAEmail:
mattia.brambilla@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
Starting from a review on the state of the art about the technical possibilities on the use of cellular technology for positioning with non-terrestrial networks (NTN), the activity of the thesis aims to identify the most appropriate simulation tool for an end-to-end analysis of the 5G NTN positioning service. The MSc student should deeply study the 3GPP Rel-17 and its enhancements in order to parametrize the simulator and assess the system configurations according to the most impacting parameters. Then, once the simulator is ready, the MSc student has to identify the literature gaps and propose an approach for solving one of them.
Nascondi Descrizione
Exploiting GPU Microarchitectures for Novel Hardware Attacks: Investigating Memory Leaks and Arbitrary Code Execution Without Physical AccessPersona da contattare:
LUCA CASSANOEmail:
luca.cassano@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica
Altri membri del gruppo di ricerca:
Elia LazzeriPagina Web:
https://cassano.faculty.polimi.it/Descrizione
Descrizione:
This thesis will investigate how modern Graphics Processing Units (GPUs) can be exploited to reveal sensitive data or run unauthorized code, all without requiring physical access or elevated permissions. By studying GPU-specific features, such as caching techniques, memory management, and parallel processing pipelines, the project aims to uncover new attack vectors and demonstrate them through proof-of-concept exploits. Finally, the research will suggest countermeasures and improved design strategies to enhance GPU security against these emerging threats.
Nascondi Descrizione
Development of a Linux Kernel Module for Fault Injection in ProcessorsPersona da contattare:
LUCA CASSANOEmail:
luca.cassano@polimi.it Corso di Studio in Ingegneria Informatica
Altri membri del gruppo di ricerca:
Elia LazzeriPagina Web:
https://cassano.faculty.polimi.it/Descrizione
Descrizione:
This thesis aims to develop a Linux kernel module enabling fault injection into selected processes or programs running on a processor. The tool will simulate adverse conditions, such as ionizing radiation, that affect memory and computation. The solution may involve a kernel module, a small fork, or a patch to the Linux kernel, allowing controlled or random fault injection for automated and repeatable testing. The system will help evaluate application resilience to faults and will include a configurable logging mechanism at multiple levels to track performance and events.
Nascondi Descrizione
5G Non-Terrestrial Networks With OpenAirInterfacePersona da contattare:
MATTIA BRAMBILLAEmail:
mattia.brambilla@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
This thesis aims to implement a 5G physical layer emulation in software defined radios (SDR) such as the Ettus x310 of the non-terrestrial network. By considering at least one SDR acting as satellite in a lab environment, and another one acting as user termina, it is goal of the thesis to evaluate the properties of 5G communication with the recently-defined non-terrestrial implementation. The following reference for approaching the research topic is suggested: https://ieeexplore.ieee.org/abstract/document/10723292
Nascondi Descrizione
Optimization Algorithms for Continual Deep LearningPersona da contattare:
FABRIZIO PITTORINOEmail:
fabrizio.pittorino@polimi.it Corso di Studio in Ingegneria Informatica
Pagina Web:
https://www.deib.polimi.it/eng/people/details/1696874Descrizione
Descrizione:
In this thesis project, we will investigate optimization algorithms for deep learning with a focus on continual learning, aiming to develop robust, adaptive training strategies that mitigate catastrophic forgetting in neural networks and enhance model performance across evolving tasks. This project explores Efficient, no-waste ML scenarios, optimizing energy usage and memory footprint, with possible applications to resource-constrained environments, employing both algorithmic and hardware considerations.
Nascondi Descrizione
Auditing social media platforms for Teen usage via sockpuppet accountsPersona da contattare:
FRANCESCO PIERRIEmail:
francesco.pierri@polimi.it Corso di Studio in Ingegneria Informatica
Pagina Web:
pierri.faculty.polimi.itDescrizione
Descrizione:
This thesis explores the use of automated and human-operated sockpuppet accounts to audit social media platforms’ policies and practices regarding teen users. It proposes a methodology for systematically testing age verification, exposure to harmful content, and engagement-driven algorithmic biases. By combining experimental digital ethnography with LLM-assisted content analysis, the research evaluates platform compliance, risk factors, and potential regulatory gaps.
Nascondi Descrizione
Understanding memes with Large Language ModelsPersona da contattare:
FRANCESCO PIERRIEmail:
francesco.pierri@polimi.it Corso di Studio in Ingegneria Informatica
Pagina Web:
pierri.faculty.polimi.itDescrizione
Descrizione:
This thesis investigates the application of large language models (LLMs) to analyze internet memes, leveraging KnowYourMeme.com as a structured dataset. It proposes a framework for categorizing memes based on linguistic, visual, and cultural features, assessing their evolution, virality, and ideological impact. By applying natural language processing, semiotic analysis, and network modeling, the study aims to decode how memes propagate, adapt, and influence digital discourse.
Nascondi Descrizione
Opportunistic positioning with STARLINK satellitesPersona da contattare:
MATTIA BRAMBILLAEmail:
mattia.brambilla@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Prof. Monica NicoliDescrizione
Descrizione:
This thesis aims to decode broadcast signals from STARLINK LEO satellites and use them to perform opportunistic positioning. Opportunistic means to passively detect (in a passive way) signals that are used for communication purposes and use them for positioning. Literature works have demonstrated the feasibility of this approach, reaching an accuracy better than 5 m. The MSc student should is requested to carry out an experimal activity with Software Defined Radio hardware for the simultaneous detection of 100+ STARLINK satellites, record data, and perform signal processing algorithms for improving the detection and appropriately estimate the position of the receiver.
Nascondi Descrizione
Impact of dataset reuse in web and data miningPersona da contattare:
FRANCESCO PIERRIEmail:
francesco.pierri@polimi.it Corso di Studio in Ingegneria Informatica
Pagina Web:
pierri.faculty.polimi.itDescrizione
Descrizione:
Publicly shared datasets are crucial for research in web and data mining, yet their reuse remains understudied. Many conferences now feature dataset or resource tracks, highlighting the growing importance of data sharing. This project seeks to quantify dataset reuse by analyzing research papers, tracking dataset mentions, and identifying key trends in adoption. We aim to determine which datasets are most influential and what factors impact their reuse, such as accessibility and documentation. Understanding these patterns will inform best practices for dataset sharing and encourage greater transparency in research.
Nascondi Descrizione
Exploiting Software Obfuscation to prevent Transient Execution Attacks in RISC-V processorsPersona da contattare:
LUCA CASSANOEmail:
luca.cassano@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica
Altri membri del gruppo di ricerca:
Elia LazzeriPagina Web:
https://cassano.faculty.polimi.it/Descrizione
Descrizione:
This thesis focuses on the design and development of software obfuscation engine to enhance the security of computing systems. The idea is to modify the control and data flows of a program in order to make Transient Execution Attacks like Spectre and Meltdown more difficult to be executed or even impossible.
Nascondi Descrizione
Collective Attention and Misinformation: the Case of Hepstein SuicidePersona da contattare:
FRANCESCO PIERRIEmail:
francesco.pierri@polimi.it Corso di Studio in Ingegneria Informatica
Altri membri del gruppo di ricerca:
Gianmarco De Francisci Morales (CENTAI)Pagina Web:
pierri.faculty.polimi.itDescrizione
Descrizione:
r/conspiracy is a community dedicated to discussing perceived conspiracies in our world (e.g., deep state, chem trails, JFK, and UFOs). The Hepstein alleged suicide brought the community to the forefront of the attention on Reddit, and even in mainstream media (e.g., https://www.ft.com/content/8f406516-0c9e-11ea-b2d6-9bf4d1957a67). This event brought a large number of users from the rest of Reddit into the r/conspiracy community.
The question we want to explore is how collective attention affects such a niche community which often spreads hoaxes and is usually marginalized by the mainstream media.
Requirements: Good knowledge of Python (pandas, scikit-learn), statistics, and some basics of machine learning.
Plus: Interest in computational social science, pyspark
Nascondi Descrizione
Real-Time Heart Signal Anomaly Detection and Prevention Using Radar TechnologyPersona da contattare:
SILVIA MURAEmail:
silvia.mura@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Biomedica, Ingegneria Elettrica, Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Francesco LinsalataDescrizione
Descrizione:
This thesis focuses on developing algorithms to detect anomalies in heartbeat signals captured by radar, with an emphasis on decoupling cardiac signals from respiration to enhance detection accuracy. The research incorporates Integrated Sensing and Communication (ISAC), enabling radar systems to seamlessly combine physiological monitoring with communication functionality.
The student will design and implement methods for detecting or preventing heart rate anomalies, such as arrhythmias, and validate their performance through measurement campaigns using real radar data. The ultimate goal is to deliver a low-complexity, real-time solution for healthcare applications and preventative monitoring.
Nascondi Descrizione
Semantic Signal Reconstruction for Restoring Nerve Signal PropagationPersona da contattare:
SILVIA MURAEmail:
silvia.mura@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Biomedica, Ingegneria Elettrica, Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Maurizio MagariniDescrizione
Descrizione:
This thesis explores a novel approach to restoring nerve function through semantic signal reconstruction, designed to act as a relay system for damaged nerves. By focusing on the "semantic meaning" of neural signals—the critical information necessary for physiological responses—this method bypasses the need to replicate the entire signal, enabling efficient and targeted signal propagation across injured sections. The work emphasizes low-complexity algorithms and real-time processing, making the approach suitable for implantable devices like cuff electrodes. These devices capture, interpret, and regenerate nerve signals, ensuring seamless communication despite nerve damage.
Nascondi Descrizione
Simulating social media platforms with LLMsPersona da contattare:
FRANCESCO PIERRIEmail:
francesco.pierri@polimi.it Corso di Studio in Ingegneria Informatica
Pagina Web:
pierri.faculty.polimi.itDescrizione
Descrizione:
This thesis explores using LLMs to simulate social media interactions, enabling controlled studies of digital discourse, misinformation, and user behavior. It proposes a framework for generating artificial social media environments, analyzing emergent behaviors, and assessing realism. The research applies reinforcement learning and network analysis to model interactions, offering insights for policy-making, marketing, and cybersecurity. The study aims to enhance understanding of algorithmic influence, misinformation spread, and engagement patterns in online communities.
Nascondi Descrizione
5G SLAM - simultaneous localization and mappingPersona da contattare:
MATTIA BRAMBILLAEmail:
mattia.brambilla@polimi.it Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
This thesis aims to experimentally demonstrate the ability of 5G signals to perform SLAM operation. Starting from a review of the state of the art on the methodologies, the MSc thesis is oriented to collect Channel Impulse Response (CIR) data from the 5G network available in the campus and perform an experimental validation of the SLAM algorithm on real data. The student will be supervised in the use of hardware for data collection, while he/she will process the acquired data offline using Matlab or Python.
Nascondi Descrizione
Communication beam alignment and tracking for motorsport applicationsPersona da contattare:
MATTIA BRAMBILLAEmail:
mattia.brambilla@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
The thesis focuses on the design and assessment of a beam alignment and tracking technique (e.g. for 6G communication systems) to guarantee an optimal V2X communication between a motorbike and a base station. The challenges to be addressed include the compensation of motorbike tilting (especially while turning) and the estimate of the beam pointing direction. An approach based on retrieving the information from on-board sensors is to be preferred. The activity is partially in cooperation with the automation group of DEIB.
Nascondi Descrizione
Signal processing for 6G - MSc thesis in collaboration with Universitat de ValènciaPersona da contattare:
MATTIA BRAMBILLAEmail:
mattia.brambilla@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
This thesis should be carried out in collaboration with the Universitat de València.
The research topic should be jointly agreed with the candidate and the abroad professor.
The student is requested to have signal processing skills.
Preference is given to the following topics: positioning, channel estimation, integrated sensing and communication
Nascondi Descrizione
Joint positioning and synchronization in 5G and beyond networksPersona da contattare:
MATTIA BRAMBILLAEmail:
mattia.brambilla@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Monica NicoliDescrizione
Descrizione:
The inter-base station (BS) and BS-user synchronization errors pose a serious challenge to highly accurate positioning using5G cellular network. The objective of this thesis is to review state of the art approach on the topic, compare them from an implementation point of view and simulate the impact of synch errors. It is primary objective to use a Matlab-based simulator, however it is also possible to evaluate the algorithms with real 5G network data.
Nascondi Descrizione
Learning to localize a vehicle in a tunnelPersona da contattare:
MATTIA BRAMBILLAEmail:
mattia.brambilla@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Monica NicoliDescrizione
Descrizione:
This thesis aims to investigate signal processing and learning algorithm to localize a vehicle traveling inside a tunnel without GPS coverage, using an on-site infrastructure of antennas.
First, the student will consider a ray tracing software tool for modeling the propagation of a wireless signal in the tunnel. Then, the student will develop algorithms exploiting the features of the received signal for positioning. At the end, if possible, the student should evaluate the feasibility of applying the "simulated-data-driven algorithm" on real measurements, assessing the portability from simulation to the real world of the algorithm.
Nascondi Descrizione
5G-enabled passive radar for detecting unauthorized dronesPersona da contattare:
MAURIZIO MAGARINIEmail:
maurizio.magarini@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Elettrica, Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Davide ScazzoliDescrizione
Descrizione:
The goal of the proposed master's thesis is to investigate the detection of unauthorized drones using a passive bistatic radar (PBR) system that leverages a 5G base station as the transmitter. This method utilizes existing infrastructure, making it a cost-effective solution for drone surveillance. The detection process involves modeling the communication environment between the 5G base station and the drone, and analyzing the signals reflected from the drone. A crucial aspect of the study is calculating the Radar Cross Section (RCS) to measure how the drone scatters radar signals. By combining signal analysis with RCS calculations, the system can detect small, agile drones in complex environments. The thesis evaluates the system's performance with a specific drone model under various conditions, demonstrating that integrating PBR with 5G networks can effectively detect and track unauthorized drones, enhancing security in critical areas.
Nascondi Descrizione
Cellular infrastructure for weather monitoringPersona da contattare:
DARIO TAGLIAFERRIEmail:
dario.tagliaferri@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Biomedica, Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
The thesis aims at studying the potential of the cellular infrastructure for the retrieval and monitoring of rain.
The goal of the work is to investigate the potential of the cellular network to be use for weather forecasting, towards greener environments.
The student will learn how to model and process the cellular signals to estimate the rain precipitation rate, and validate the simulations on experimental data acquired with a 5G cellular base station.
Nascondi Descrizione
LEO satellites for communication and environment monitoringPersona da contattare:
DARIO TAGLIAFERRIEmail:
dario.tagliaferri@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Francesco LinsalataDescrizione
Descrizione:
Low Earth orbit (LEO) satellites, e.g., Starlink, will be a keystone in future 6G non-terrestrial wireless networks. In addition to the communication functionality, LEO fleets can also serve for accurate Earth monitoring, with applications ranging from infrastucture monitoring, public security, surveillance and environmental reconstruction.
The thesis consists of exploring the use of LEO satellites to jointly ensure broadcast connectivity while obtain an accurate environment mapping.
The work will involve practical activities within the framework of the PNRR project "RESTART".
Nascondi Descrizione
AI for Cooperative Perception in Vehicular Radar NetworksPersona da contattare:
DARIO TAGLIAFERRIEmail:
dario.tagliaferri@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
The road towards autonomous driving expects vehicles will be equipped with more and more heterogeneous sensors (cameras, lidars, radars, sonars) to perceive the surroundings. Cameras and lidars are the golden standard for autonomous driving, providing high-resolution representations of the environment, but they are sensitive to illumination levels and weather conditions (fog, rain,etc).
Radars, instead, are robust to adverse weather conditions, but are typically characterized by low spatial resolution in the description of the environment and they are currently used for limited purpose (emergency braking).
To improve the reliability of the perception of the environment, future autonomous vehicles are expected to mutually cooperate, exchanging local measurements and features to augment perception.
The thesis aims at using artificial intelligence for cooperative perception based on radars. In particular, the goal of the thesis is to investigate novel AI architectures for aligning, synchronizing and fusing radar images generated at the single vehicles. The proposed thesis can be specialized to generic distributed radar networks, e.g., made of drones.
Nascondi Descrizione
Integrated sensing and communication for future 6G wireless systems in the upper mid-bandPersona da contattare:
DARIO TAGLIAFERRIEmail:
dario.tagliaferri@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Marco MezzavillaPagina Web:
Pi-Radio website: https://www.pi-rad.io/homeDescrizione
Descrizione:
Integrated Sensing and Communication (ISAC) systems combine wireless communication and radar sensing capabilities within the same infrastructure. These systems leverage shared hardware, spectrum, and signal processing techniques to perform tasks like data transmission and environmental sensing simultaneously. ISAC enables applications such as autonomous driving, smart cities, publoc safety and surveillance. It is acquainted that the next generation (6G) of wireless systems will use the so-called upper mid-band (6-24 GHz), currently not used for communication systems. The upper mid-band that offer large bandwidth over a wide range of frequencies, opening the striking possibility of centimeter-level environment sensing and unprecedented .
The thesis aims at addressing the innovative design of an ISAC systems in the future 6G frequencies. The student can choose to address the 6G ISAC from the methodological perspective , finding new ways to integrate communication and sensing over multiple disaggregated bandwidths, or developing custom signal processing algorithms that can be validated with in-lab experimental measurements with the Pi-Radio hardware.
Nascondi Descrizione
DEFINIZIONE DI UN PROTOCOLLO PER PRODURRE UNA INTERFACCIA NEURALEPersona da contattare:
MAURIZIO MAGARINIEmail:
maurizio.magarini@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Biomedica, Ingegneria Elettronica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Antonio CovielloDescrizione
Descrizione:
La tesi si concentra sulla progettazione e la manifattura di una cuff electrode, un’interfaccia neurale da posizionare attorno a un nervo periferico per il campionamento del segnale nervoso. Lo studente sarà coinvolto in attività pratiche di laboratorio, con focus su biomateriali avanzati, tecniche di produzione, parziale progettazione circuitale e aspetti normativi. L’obiettivo è sviluppare un protocollo e un metodo di produzione che garantiscano un campionamento stabile ed efficace del segnale nel tempo.
Nascondi Descrizione
REALIZZAZIONE HARDWARE DI UN CHIP IMPIANTABILE PER APPLICAZIONI MEDICALIPersona da contattare:
MAURIZIO MAGARINIEmail:
maurizio.magarini@polimi.it Corso di studio in Ingegneria Biomedica, Ingegneria Elettrica, Ingegneria Elettronica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Antonio CovielloDescrizione
Descrizione:
La tesi si concentra sulla progettazione e sviluppo hardware di un chip impiantabile, con focus sull’acquisizione e trasferimento dei segnali biomedicali. Lo studente sarà coinvolto nella scelta, configurazione e integrazione delle componenti elettroniche per la realizzazione del dispositivo. L’ottimizzazione si orienterà verso applicazioni mediche future sull’uomo, puntando a miniaturizzazione del segnale medicale, efficienza energetica e affidabilità a lungo termine.
Nascondi Descrizione
Design of an eye tracking device exploiting mmWaves radarPersona da contattare:
MAURIZIO MAGARINIEmail:
maurizio.magarini@polimi.it Corso di studio in Ingegneria Biomedica, Ingegneria Elettrica, Ingegneria Elettronica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Davide ScazzoliDescrizione
Descrizione:
Eye-tracking capabilities have applications across a wide range of fields, including entertainment, medicine, and security. This thesis proposes the development of novel algorithms and devices that exploit mmWave radars for visual gaze analysis. The candidate will focus on both the practical aspects and the more abstract algorithmic components of the problem. The work includes an experimental phase involving the design of PCBs using commercial sensors to validate the developed algorithms. Additional extensions of this thesis will explore integrated sensing and communication using the same device.
Nascondi Descrizione
Exploring Bluesky's Role in Decentralized Social Media EcosystemsPersona da contattare:
FRANCESCO PIERRIEmail:
francesco.pierri@polimi.it Corso di Studio in Ingegneria Informatica
Pagina Web:
pierri.faculty.polimi.itDescrizione
Descrizione:
This thesis investigates Bluesky, a decentralized social media initiative, as a transformative platform within the digital communication landscape. The research aims to assess Bluesky's technological foundation, its impact on user autonomy, and its potential to disrupt traditional, centralized social media monopolies. This study will analyze Bluesky's technical architecture, user experience, and community-driven governance to determine its viability as a sustainable alternative to current platforms like Twitter or Facebook.
Nascondi Descrizione
Exploration of custom floating-point accelerators through evolutionary design methodsPersona da contattare:
SERENA CURZELEmail:
serena.curzel@polimi.it Corso di Studio in Ingegneria Informatica
Descrizione
Descrizione:
The open-source HLS tool Bambu, developed at Polimi, features a framework to customize floating-point encodings and obtain more efficient FPGA/ASIC accelerators (see https://hdl.handle.net/11311/1254959). The objective of this thesis is to use evolutionary design methods to select the best possible encoding for a given application under a given target accuracy.
Nascondi Descrizione
Predictive Smart Irrigation Systems for Optimizing Plant Health Using Electrophysiological and Environmental Sensors with Deep LearningPersona da contattare:
IMEN BEKKARIEmail:
imen.bekkari@polimi.it Corso di studio in Ingegneria dell'Automazione, Ingegneria Biomedica, Ingegneria Elettrica, Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Imen BekkariDescrizione
Descrizione:
This thesis aims to develop a predictive smart irrigation system by integrating electrophysiological sensors, electronic noses, and environmental sensors to monitor and analyze plant health. The model will optimize irrigation practices through neural networks to enhance water efficiency and promote sustainable agriculture in controlled and natural environments.
Nascondi Descrizione
Studying human behavior in Online Multiplayer Games (e.g., League of Legends, DOTA)Persona da contattare:
FRANCESCO PIERRIEmail:
francesco.pierri@polimi.it Corso di Studio in Ingegneria Informatica
Pagina Web:
https://pierri.faculty.polimi.itDescrizione
Descrizione:
This thesis focuses on analyzing patterns of human behavior in online multiplayer games like League of Legends and DOTA. By examining player interactions, cooperation, competition, and toxic behavior,we want to understand how game mechanics and community dynamics influence player psychology and social engagement.
Nascondi Descrizione
Leveraging Large Language Models (ChatGPT et al.) to counter online misinformation and hate speechPersona da contattare:
FRANCESCO PIERRIEmail:
francesco.pierri@polimi.it Corso di Studio in Ingegneria Informatica
Pagina Web:
https://pierri.faculty.polimi.itDescrizione
Descrizione:
This thesis explores the potential of large language models, such as ChatGPT, to identify, flag, and mitigate online misinformation and hate speech. It aims to evaluate their effectiveness in real-time monitoring, content moderation, and counter-messaging, while addressing ethical considerations such as bias and free speech.
Nascondi Descrizione
User-Centric IT Sustainability – Balancing Environmental Impact and User Experience in Adaptive Web ApplicationsPersona da contattare:
MONICA VITALIEmail:
monica.vitali@polimi.it Corso di Studio in Ingegneria Informatica
Descrizione
Descrizione:
The urgent need to reduce environmental impact has driven IT providers to reevaluate the management and allocation of physical resources for applications. While infrastructure-focused solutions have been prioritized, application developers also play a key role in achieving greener IT by designing applications that adapt dynamically to the availability of renewable energy. This flexibility, however, introduces a trade-off between environmental impact and user experience. For instance, a task could be executed in multiple ways, each with a different computational and energy cost, where the optimal version might be selected based on the availability of renewable energy sources. Such a selection, however, could influence the user experience and, subsequently, customer satisfaction.
This thesis seeks to understand this balance by taking a user-centric approach to IT sustainability, investigating which strategies can encourage consumers to actively support sustainable choices. Specifically, we aim to explore two key research questions:
- What factors influence users when they face a trade-off between sustainability and user experience?
- Can heightened sustainability awareness among consumers make them more receptive to minor reductions in user experience?
Our research will involve user studies to identify the actions and types of information that increase users’ willingness to accept slight QoS trade-offs for sustainability gains. By examining user preferences and the impact of sustainability-awareness strategies, this thesis will provide insights into how consumers can be empowered to support greener applications.
Nascondi Descrizione
Balancing Privacy, Utility, and Sustainability: A Comparative Analysis of Synthetic Data Generation and Traditional Privacy-Preserving TechniquesPersona da contattare:
MONICA VITALIEmail:
monica.vitali@polimi.it Corso di Studio in Ingegneria Informatica
Descrizione
Descrizione:
Generative AI enables the creation of synthetic datasets that can address privacy concerns in sensitive data contexts, such as healthcare, finance, and social science research. By generating artificial data that mimics real data distributions without disclosing individual data points, these synthetic datasets promise a powerful alternative to traditional privacy-preserving methods like differential privacy and anonymization. However, this approach comes at an environmental cost. The creation and training of generative models require substantial computational resources, leading to significant energy consumption and, consequently, a notable carbon footprint. At the same time, traditional privacy-preserving methods are not without energy demands, particularly when applied to large and complex datasets. Thus, understanding the trade-offs in energy consumption, utility, and privacy risk between these approaches is crucial for sustainable and effective data privacy practices.
The primary objective of this thesis is to conduct a comprehensive comparison of the environmental and practical implications of synthetic dataset generation and traditional privacy-preserving techniques. This study will focus on three key areas: (1) energy consumption, measured through computational load and resource demands; (2) "fit to use," or the utility and fidelity of the datasets in maintaining representational accuracy; and (3) the risk profile, assessing each method’s effectiveness in safeguarding privacy.
The findings of this thesis will contribute to the emerging discourse on sustainable AI by providing data-driven insights into the environmental impact of privacy-preserving data practices. Given the increasing adoption of AI in sensitive fields and the rising concerns over its carbon footprint, this research aims to offer guidance on balancing data utility, privacy, and environmental responsibility.
Nascondi Descrizione
AI’s Hidden Footprint: What It Really Takes to Power Large Language Models Like ChatGPTPersona da contattare:
MONICA VITALIEmail:
monica.vitali@polimi.it Corso di Studio in Ingegneria Informatica
Descrizione
Descrizione:
Large Language Models (LLMs) like ChatGPT are increasingly integrated into our daily lives, from assisting with information retrieval and content creation. As their popularity grows, so does the demand for training these models on massive datasets and frequently updating them in response to the evolving nature of knowledge. However, the computational requirements for training and updating LLMs results in considerable energy consumption. This raises concerns over the sustainability of data centers, especially as they strive to achieve carbon neutrality in the coming years.
Unlike traditional machine learning models, LLMs impose a continuous environmental impact that extends beyond the training phase. The inference phase, where models generate responses in real-time to meet high user demand, is similarly energy-intensive, often consuming as much or more power as training due to the computational complexity of each generated response. A balance between LLMs performance and sustainability needs to be studied to mitigate their environmental impact.
This thesis aims to systematically analyze the energy consumption patterns of popular LLMs, identifying key factors that drive their computational and environmental costs. We will evaluate the impact of various fine-tuning techniques on power consumption, investigating the trade-offs between model accuracy, efficiency, and resource demands.
Additionally, this study will develop a predictive model to estimate the energy consumption of both the training and inference phases for LLMs. This model aims to provide actionable insights to model developers and end-users alike, fostering awareness about the environmental footprint of using LLMs and encouraging more sustainable practices in AI deployment. Ultimately, this research will contribute to a better understanding of how we can optimize LLM usage while minimizing their ecological impact, helping to align technological advancement with environmental responsibility.
Nascondi Descrizione
Empowering Sustainable Applications to Reduce Data Center Environmental ImpactPersona da contattare:
MONICA VITALIEmail:
monica.vitali@polimi.it Corso di Studio in Ingegneria Informatica
Descrizione
Descrizione:
As the demand for computational resources accelerates, the environmental impact of data centers is becoming increasingly significant. Efforts to address this impact have largely focused on infrastructural solutions, such as improving data center cooling efficiency, optimizing hardware, and transitioning to renewable energy sources. However, this infrastructure-centric approach overlooks an essential dimension: application design and development. Applications themselves, if designed with sustainability in mind, can play a pivotal role in reducing resource consumption and enhancing data center efficiency. This thesis proposes a framework that engages application designers and developers in creating adaptive, sustainable applications to contribute to greener, more environmentally-friendly cloud ecosystems.
This research introduces a novel architecture aimed at embedding sustainability features directly into cloud-native application components and provides a pathway for applications to dynamically adapt their workflows in response to environmental and resource constraints, enabling real-time adjustments based on available energy sources, data center load, and sustainability targets.
The proposed framework will focus on integrating sustainability as a core element in the design and development phases. Specifically, we will explore techniques for embedding adaptability features into application components, allowing them to modify their operations based on environmental conditions, such as shifting processing loads during times of low energy availability or optimizing computational intensity during peak periods. This approach moves beyond static, infrastructure-focused sustainability measures, paving the way for applications that can actively contribute to environmental goals.
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Cascaded Foundation Models for the Segmentation of Abdominal OrgansPersona da contattare:
ANDREA MOGLIAEmail:
andrea.moglia@polimi.it Corso di studio in Ingegneria Biomedica, Corso di Studio in Ingegneria Informatica
Altri membri del gruppo di ricerca:
Pietro Cerveri; Luca MainardiPagina Web:
https://www.deib.polimi.it/eng/people/details/1991524Descrizione
Descrizione:
Multimodal large language models (MLLMs) were proposed over the last two years to generate text output from a prompt combining different input types, for instance, text and images. If applied to medicine, they are expected to generate new applications to support clinicians, e.g. in the decision-making when a medical doctor needs advice from a more experienced colleague. Some MLLMs specific to the medical domain were developed, like LLaVA-Med, PeFoMed, and Med-Flamingo. However, those MLLMs can only be used for visual question answering but not other tasks, like image segmentation, which is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease progress monitoring. Segment Anything Model (SAM) was developed as the first foundational model for the segmentation of natural images. SAM automatically generates segmentation masks by selecting a point, drawing a bounding box around objects to segment, or even using a text prompt. SAM was not specifically developed for medical images, e.g., computed tomography scans, which are traditionally more challenging. Initial studies have shown that its performance was lower than that of deep learning models in the segmentation task of medical images. However, the recent release of MedSAM, a fine-tuned version of SAM on an unprecedented quantity and variety of datasets for medical images, outperforming state-of-the-art deep learning models, disrupted the field. Medical SAM 2, based on SAM 2, outperformed deep learning models, SAM-based ones, and even MedSAM in medical image segmentation.
This thesis work aims to combine MLLMs and foundation models like MedSAM/ Medical SAM 2 to build a tool enabling users to type a prompt like “Segment the pancreas” and visualize the segmentation mask. This thesis will build upon a recent research work at the Politecnico di Milano on a fine-tuned MLLM outputting a bounding box for the localization of the pancreas, given a question like “Where is the pancreas”. The automatically generated bounding box could serve as a prompt for MedSAM/Medical SAM 2 to segment the abdominal organs. Since current MLLMs need improvements in the localization of medical organs, the student(s) will need to optimize the MLLM architecture, for instance by replacing the vision encoder with a novel component, like MedNeXt .
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Machine Learning for Quantum ComputingPersona da contattare:
MAURIZIO FERRARI DACREMAEmail:
maurizio.ferrari@polimi.it Corso di Studio in Ingegneria Informatica
Altri membri del gruppo di ricerca:
Riccardo Nembrini; Riccardo Pellini; Gloria Turati; Paolo CremonesiPagina Web:
https://mauriziofd.github.io/Descrizione
Descrizione:
Quantum Computing (QC) has the potential to shape the future of high performance computing and Machine Learning (ML) applications thanks to the speed-ups it promises for certain tasks. However, ML techniques can also help to overcome some of QC's current technological limitations. This research aims to study how QC and ML can be best combined in practice and how they can be of help to each other. Examples of topics are the development of ML methods to design and optimize quantum circuits for specific architectures.
Nascondi Descrizione
Good graphs versus bad graphs in 3D reconstructionPersona da contattare:
FEDERICA ARRIGONIEmail:
federica.arrigoni@polimi.it Corso di Studio in Ingegneria Informatica
Descrizione
Descrizione:
A powerful tool to study and solve relevant problems in Computer Vision (and, more precisely, in the sub-field of multi-view geometry) is representing cameras/images and their pairwise relations as vertices and edges of a graph. In this context, a prominent problem is 3D reconstruction from images and a relevant question is the following: which graphs are good and which graphs are bad for 3D reconstruction? This thesis will develop novel methods aimed at answering this question. A strong mathematical background is preferred but not mandatory. Reference: F. Arrigoni, A. Fusiello, T. Pajdla. A direct approach to viewing graph solvability. ECCV 2024
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Music Deepfake DetectionPersona da contattare:
LUCA COMANDUCCIEmail:
luca.comanducci@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
Deep learning-based music generation has been recently revolutionized by the introduction of Text-To-Music models.
These models are characterized by being good in terms of performance and also simple to use, lowering the technical proficiency needed to successfully interact with them. This combination of factors has made them extremely appetible to the general public and of interest by private industries.
In Fact several commercial TTMs have been proposed, which recently have been sued by major record companies and have consecutively admitted to copyright infringement, by training their respective models also using unlicensed music. As both the capabilities and the commercial interest of these models grow it is becoming increasingly necessary to try to develop forensic approaches to detect and analyze music generated via TTMs.
In this thesis we aim at exploring the problem of: can we detect if some music is AI-generated or not?
Nascondi Descrizione
Fast simulation of a CPU+FPGA system through open-source toolsPersona da contattare:
SERENA CURZELEmail:
serena.curzel@polimi.it Corso di Studio in Ingegneria Informatica
Descrizione
Descrizione:
The goal of this thesis is to improve the design of FPGA-accelerated systems by building a faster simulation environment than the one provided by AMD/Xilinx, building upon existing open-source tools such as gem5 and Bambu HLS. Knowledge of hardware design is not required (but it could help).
Nascondi Descrizione
Development of Novel Transient Execution Attacks (TEAs): Exploiting Microarchitectural VulnerabilitiesPersona da contattare:
LUCA CASSANOEmail:
luca.cassano@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica
Pagina Web:
https://cassano.faculty.polimi.it/Descrizione
Descrizione:
This thesis investigates the development of new transient execution attacks (TEAs) that exploit microarchitectural vulnerabilities in modern processors. The research will focus on identifying weaknesses in the execution pipeline, speculative execution mechanisms, and related hardware features, demonstrating how these can be leveraged to bypass traditional security measures. Additionally, the thesis will aim to propose countermeasures and mitigations to defend against these emerging threats, enhancing the security of future processor architectures.
Nascondi Descrizione
Development of Novel Trusted Execution Environments (TEEs)Persona da contattare:
LUCA CASSANOEmail:
luca.cassano@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica
Pagina Web:
https://cassano.faculty.polimi.it/Descrizione
Descrizione:
This thesis focuses on the design and development of new Trusted Execution Environments (TEEs) to enhance the security of computing systems. The research will explore innovative TEE architectures that provide improved protection for sensitive data and operations, particularly in embedded systems, ensuring that security is maintained even in the presence of malicious attacks (Transient Execution Attacks like Spectre and Meltdown, for example) or software vulnerabilities.
Nascondi Descrizione
Design of Integrated GPU Architectures for RISC-V System-on-Chip (SoC) PlatformsPersona da contattare:
LUCA CASSANOEmail:
luca.cassano@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica
Pagina Web:
https://cassano.faculty.polimi.it/Descrizione
Descrizione:
This thesis explores the development of new integrated GPU architectures within RISC-V SoC platforms. By designing GPU modules that are seamlessly integrated with the RISC-V architecture, the research will focus on improving graphical processing efficiency and enabling more powerful and energy-efficient SoC solutions for diverse applications.
Nascondi Descrizione
Analysis and Improvement of RISC-V Memory Models: Performance Limitations and BottlenecksPersona da contattare:
LUCA CASSANOEmail:
luca.cassano@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica
Pagina Web:
https://cassano.faculty.polimi.it/Descrizione
Descrizione:
This thesis will conduct a comprehensive study of the RISC-V memory models, identifying potential performance limitations and bottlenecks. The research will aim to propose improvements that can enhance memory management, consistency, and overall system performance, with a focus on scalability and reliability in complex computing environments.
Nascondi Descrizione
Development of Machine Learning for Real-Time Error Detection and Attack Prevention in RISC-V Processors Based on System MeasurementsPersona da contattare:
LUCA CASSANOEmail:
luca.cassano@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica
Pagina Web:
https://cassano.faculty.polimi.it/Descrizione
Descrizione:
This thesis focuses on developing a machine learning (ML) system for detecting errors and potential attacks in real-time by analyzing various system measurements, including microarchitectural data. The research will explore which system metrics are most effective for accurate detection and how the ML system can interact directly with hardware to perform error correction, reconfiguration, or deactivation in response to detected issues.
Nascondi Descrizione
Integrated Sensing and Communication for Vehicle to Anything (V2X) CommunicationPersona da contattare:
MAROUAN MIZMIZIEmail:
marouan.mizmizi@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
As 6G networks advance, integrating sensing and communication in vehicular scenarios is critical for the development of autonomous driving. In these environments, vehicles must not only communicate with each other and with infrastructure but also sense and interpret their surroundings in real-time. This dual functionality introduces significant challenges in how communication and sensing are managed, especially in fast-moving, complex vehicular environments.
This thesis will focus on the challenges of enabling effective communication and sensing in vehicular scenarios to support autonomous driving. Key research areas will include developing strategies for real-time data exchange between vehicles and infrastructure, ensuring that both sensing and communication tasks can be performed reliably at high speeds. The research will explore how to optimize the sharing of sensor data among vehicles, enabling them to interpret their environment and make driving decisions collaboratively. Additionally, the study will address the limits of current technologies in handling the vast amount of data generated in these scenarios, exploring ways to enhance both the bandwidth and reliability of vehicular communication networks.
The ultimate goal of this thesis is to contribute to the development of 6G-enabled vehicular networks by addressing the technical challenges of integrating communication and sensing for autonomous driving. This involves creating new models, protocols, and algorithms that ensure vehicles can effectively collaborate, sense their environment, and communicate critical information in real-time, all within the dynamic and demanding context of autonomous driving scenarios.
Nascondi Descrizione
Perceptive 6G Wireless Cellular NetworkPersona da contattare:
MAROUAN MIZMIZIEmail:
marouan.mizmizi@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
As 6G networks evolve into perceptive mobile networks that integrate sensing and communication, a key challenge lies in enabling distributed nodes to collaborate effectively. These networks aim not only to transmit data but also to sense and interpret the environment, which requires new approaches to both communication and sensing. The shift to a perceptive network model introduces significant challenges in how these distributed nodes interact, share information, and operate cohesively to achieve both sensing and communication goals.
This thesis will focus on the critical challenges of making 6G networks capable of sensing and communication using distributed nodes. A major area of investigation will be how to enable these nodes to collaborate efficiently, ensuring that sensing tasks do not compromise communication performance and vice versa. The research will explore strategies for distributed sensing, cooperative communication, and the coordination mechanisms needed to manage these dual functions across the network. Additionally, the study will address the limitations of current technologies in supporting such a collaborative, multi-functional network, identifying potential bottlenecks and proposing innovative solutions.
The ultimate goal of this thesis is to contribute to the development of 6G perceptive mobile networks by addressing the technical challenges of distributed sensing and communication. This involves creating new models and algorithms that allow for efficient collaboration among distributed nodes, ensuring that the network can operate effectively within the constraints of real-world environments.
Nascondi Descrizione
Signal Processing for Near-Field 6G SystemsPersona da contattare:
MAROUAN MIZMIZIEmail:
marouan.mizmizi@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Umberto SpagnoliniDescrizione
Descrizione:
As 6G networks evolve to use higher frequencies and larger MIMO arrays, communication will increasingly occur in the near-field, unlike today’s far-field systems. This shift has significant implications for how channels are modeled, estimated, and how communication systems are designed. Near-field communication introduces unique challenges, such as the need for new channel models that account for spatial variations over short distances and more complex, yet critical, channel estimation techniques. Precoding and equalization strategies must also be reimagined to address the non-uniform distribution of signals and the potential for increased interference in dense network environments.
This thesis will explore these challenges by developing advanced signal processing techniques tailored for near-field conditions in 6G networks. It will focus on improving channel modeling, estimation, precoding, and equalization for high-frequency, dense scenarios. Additionally, the research will investigate the use of machine learning to enhance these techniques, offering more adaptive and robust solutions. The goal is to make a significant contribution to 6G technology by addressing the critical challenges of near-field communication with both traditional and machine learning-based approaches.
Nascondi Descrizione
Enhancing Spatial Audio with Advanced Neural Network Models for Sound field reconstructionPersona da contattare:
MIRCO PEZZOLIEmail:
mirco.pezzoli@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
This thesis proposal focuses on advancing the field of spatial audio by addressing the challenges of sound field reconstruction. Central to many 3D audio and virtual reality applications, accurate sound field reconstruction enhances the immersive experience by providing realistic auditory environments. The research aims to integrate innovative neural network models, including advanced kernel interpolation techniques, to overcome existing limitations in the field.
Nascondi Descrizione
Compiler-assisted real-time schedulingPersona da contattare:
FEDERICO REGHENZANIEmail:
federico.reghenzani@polimi.it Corso di Studio in Ingegneria Informatica
Descrizione
Descrizione:
This thesis wants to explore the possibility to use the compiler to provide scheduling hints to the real-time operating system, especially on the Worst-Case Execution Time (WCET). This thesis aims at modying the open source LLVM compiler to instrument the final code with proper mechanisms.
Please contact me for further details.
Nascondi Descrizione
Real-time scheduling for SIHFT approachesPersona da contattare:
FEDERICO REGHENZANIEmail:
federico.reghenzani@polimi.it Corso di Studio in Ingegneria Informatica
Descrizione
Descrizione:
This thesis aims at studying novel scheduling approaches for real-time operating systems that run Software-Implemented Hardware Fault Tolerance (SIHFT) mechanisms. SIHFT are a set of techniques that detect and recover from hardware faults by using software methods. However, their computational overhead is huge and novel scheduling algorithms must be invented to efficiently schedule the real-time tasks.
The thesis is highly innovative and composed of both theoretical and practical parts. The scheduling algorithm will be implemented and tested on a real system.
No particular pre-requisites exist other than being self-motivated: the background of any POLIMI student will be sufficient. The programming language that will be used to implement the scheduler is C.
Nascondi Descrizione
[Tesi senza Controrelatore] Analysis and comparison of real-time performance of GPGPU librariesPersona da contattare:
FEDERICO REGHENZANIEmail:
federico.reghenzani@polimi.it Corso di Studio in Ingegneria Informatica
Altri membri del gruppo di ricerca:
Tomas Antonio LopezDescrizione
Descrizione:
Using the GPU for general-purpose computing (GPGPU) has become common in many fields thanks to the parallelism of GPU and the emerging of novel applications. Some systems are, however, safety-critical systems with strict timing and functional correctness requirements to be satisfied. This thesis will analyse the available libraries for GPGPU in terms of real-time performance with a special focus to open source safety-critical libraries.
Please contact me for further details.
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INTERACTION DESIGN FOR LIVE PERFORMANCE OF ACOUSMATIC MUSIC (In collaboration with Fondazione Culturale San Fedele)Persona da contattare:
LUCA COMANDUCCIEmail:
luca.comanducci@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Francesca RonchiniDescrizione
Descrizione:
Experimental music and technology developments have always went hand in hand, from the development of the synthesizer to the recent introduction of artificial intelligence in music production practices. INNER SPACES is a series of events related to experimental electronic music and audiovisual arts realized in the exclusive context of the San Fedele Auditorium, in Milan. The objective of the thesis is to develop tools for augmented performance in the context of acousmatic/electronic music, with the possibility of including the developed software in the second season of INNER SPACES (spring). While the project will be focused on scientific developments related to audio and programming, a keen interest and motivation for art and experimental music is highly desired. For any information please contact: luca.comanducci@polimi.it or francesca.ronchini@polimi.it
Preferred Requirements:
Experience in python/supercollider/MaxMsp
Interest for acousmatic/experimental electronic music
Nascondi Descrizione
Design fault recovery strategies for FreeRTOSPersona da contattare:
FEDERICO REGHENZANIEmail:
federico.reghenzani@polimi.it Corso di Studio in Ingegneria Informatica
Pagina Web:
https://reghenzani.faculty.polimi.it/Descrizione
Descrizione:
Embedded systems are often subject to reliability requirements against transient faults that usually occur due to high-energy particles striking memory cells and causing data corruption. This is a problem in space applications, where the atmosphere and the magnetic field of the Earth have a lower shield effect, but it is also a problem on Earth for safety-critical applications. In current research projects, we developed a mechanism to detect faults occurring not only in the application but also in the operating system, specifically FreeRTOS. The objective of this thesis would be to implement novel mechanisms to perform the recovery of such faults occurring in the operating systems.
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Sviluppo software di generazione e acquisizione di trame 5G per strumentazione da laboratorioPersona da contattare:
DAVIDE SCAZZOLIEmail:
davide.scazzoli@polimi.it Corso di studio in Ingegneria delle Telecomunicazioni
Altri membri del gruppo di ricerca:
Maurizio Magarini, Umberto Spagnolini, Christian MazzuccoDescrizione
Descrizione:
Questa tesi verterà principalmente sullo sviluppo di codice per l'acquisizione, la sincronizzazione e la decodifica di trame 5G acquisite tramite oscilloscopi Lecroy di ultimissima generazione. Nella tesi sarà inclusa anche la parte duale sulla generazione di suddette trame mediante generatori arbitrari Tektronix. Lo sviluppo del codice avverrà principalmente in MATLAB, con l'ausilio dei toolbox 5G per la generazione e decodifica delle trame standard compliant. Questo codice MATLAB verrà quindi caricato sull'oscilloscopio ed eseguito in tempo reale dalla macchina su segnali reali.
Nascondi Descrizione
Deep Learning-based attack detection in RISC-V microprocessorsPersona da contattare:
LUCA CASSANOEmail:
luca.cassano@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica
Pagina Web:
https://cassano.faculty.polimi.it/Descrizione
Descrizione:
Modern microprocessors have advanced features like cache hierarchies, acceleration units, out-of-order and speculative execution: on the one hand, all these features dramatically increase systems performance but, on the other hand, they expose the system to a new menace: the so-called Microarchitectural Side-Channel Attacks (MSCAs), such as Spectre and Meltdown. Protecting a system from these attacks is extremely challenging, and this becomes even harder in the embedded scenario, where Operating System support and multiple cores may be unavailable.
This thesis aims at exploring the feasibility of adopting hardware performance counters (HPCs) monitoring and deep learning (DL)-based anomaly detection (for example Recurrent Neural Networks) to identify the execution of MSCAs in embedded microprocessors. The basic idea is to add a Security Checking module between the microprocessor and the main memory to observe the fetching activity and the HPCs. The introduced checker shal neither interferes with the nominal activity of the microprocessor nor requires any modification of the microprocessor itself. Existing RISC-V microprocessors could be considered as a target hardware platform.
Nascondi Descrizione
Enhancing Space Launcher Safety with Telemetry Anomaly Detection (in collaboration with the European Space Agency)Persona da contattare:
LUCA CASSANOEmail:
luca.cassano@polimi.it Corso di studio in Ingegneria Elettronica, Corso di Studio in Ingegneria Informatica
Altri membri del gruppo di ricerca:
Marco Ottavi (University of Twente, The Netherlands)Pagina Web:
https://cassano.faculty.polimi.itDescrizione
Descrizione:
The Imperative for Anomaly Detection in Space Applications, particularly in launcher systems, is critical. Space missions represent high-stakes endeavors where even minor anomalies can lead to mission failure, causing significant financial losses and scientific setbacks. Furthermore, anomalies within launcher systems pose substantial safety hazards, potentially leading to catastrophic events.
Within the domain of launchers, telemetry data serves as a cornerstone, providing real-time insights into the vehicle's operational status. The Avio telemetry avionics, meticulously designed to capture crucial data, can transmit to ground stations by monitoring the communication bus or acquiring I/O signals. This setup ensures comprehensive data retrieval, addressing both software and hardware elements of aircraft systems.
Anomalies within this data stream can indicate potential issues, ranging from equipment malfunctions to trajectory deviations or unforeseen complications. Timely identifying these anomalies allows for proactive intervention, mitigating the risk of mission failure or catastrophic incidents.
Integrating Artificial Intelligence (AI) into Anomaly Detection presents a promising avenue for overcoming these challenges. AI algorithms can analyze vast quantities of telemetry data in real time, identifying patterns and anomalies that may elude human operators. This capability not only enhances the safety and success rate of space missions but also propels advancements in space exploration technology. This proposal outlines a project to harness AI for telemetry anomaly detection in Space Transportation systems, focusing on both the identification of suitable AI models and the hardware implementation on platforms.
This proposal outlines a two-part project to detect launcher telemetry anomalies using Artificial Intelligence (AI). The first part involves the identification of the most suitable AI model and the consequent design and development of an AI-based engine for anomaly detection. The second part focuses on the hardware implementation of the previously designed AI-based engine on an embedded architecture, e.g., a RISC-V platform.
Nascondi Descrizione
Advanced communications for autonomous systems (vehicle-vehicle, drone-vehicle) in emergency situations.Persona da contattare:
FRANCESCO LINSALATAEmail:
francesco.linsalata@polimi.it Corso di studio in Ingegneria dell'Automazione, Corso di Studio in Ingegneria Informatica, Ingegneria delle Telecomunicazioni
Descrizione
Descrizione:
The thesis entails the study and analysis of vehicular communications utilization in emergency scenarios. This research is a component of the RESTART project and is conducted in partnership with an Italian company specializing in the field.
Nascondi Descrizione
