2018-I Call
Application deadline: March 30-th 2018Requirements: students enrolled at the second semester of the first year of the MSc track, with 25 CFUs and 28 GPA
Application: website
Available positions:
- 8 Automation and Control Engineering
- 7 Biomedical Engineering
- 17 Computer Science and Engineering
- 0 Electric Engineering
- 0 Electronic Engineering
- 6 Telecommunication Engineering
Research topics in Automation and Control Engineering
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Proposers: E. Amaldi, M. Corno, L. Fagiano, M. Prandini, S. Savaresi, R. Scattolini, M. Tanelli
Topic: Theory and Application of Control and Optimization Description: The research area includes all the topics related to the theory and application of modeling, control, identification, learning, and optimization methods for dynamic systems. Applications include, but are not limited to, energy systems, smart grids, vehicles. Compatible tracks: ATM, CSE, MTM Positions available: 5 |
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Proposers: L. Bascetta, L. Ferrarini, G. Gruosso, P. Rocco
Topic: Robotics, Mechatronics, and Industrial Automation Description: The research area includes topics related to modelling and control of robots (industrial, mobile, aerial) and mechatronic systems in general. The broader area of industrial automation is included as well.Experimental facilities to validate the theoretical results will be available. Compatible tracks: ATM, CSE, MEC Positions available: 3 |
Research topics in Biomedical Engineering
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Proposers: A. Redaelli, E. Votta
Topic: Development of Novel Methods for Visualization and Navigation of Clinical Data in Virtual/augmented Reality Environment Description: The candidate will develop skills in GPU-based algorithms for 3D volume rendering techniques to visualize volumetric clinical imaging data (CT, MRI, Ultrasound) and implementation of efficient methods and algorithms for the navigation of 3D volumetric imaging data (e.g., clip-Plane, plane interpolations, shaders). Coding and methods implementation will be based on the Unity environment (C# programming language) for compatibility with virtual/augmented reality projects (e.g., Microsoft HoloLens). The use and integration of the developed methods with the visualization toolkit (VTK) open-source libraries are envisioned. The candidate will pursue the development of a stand-alone App to be used by clinical end-users. This App will help in performing diagnosis and procedural planning of mini-invasive approaches of patient-specific cases. Compatible tracks: BIO, CSE Positions available: 1 |
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Proposers: A. Gautieri
Topic: Development of in Silico Methods for Rational Enzyme Engineering Description: Increasing enzyme stability is of great interest to improve their applicability as biocatalyst, therapeutic molecules, biosensors and nanomaterials. Available experimental methods to improve enzyme stability are powerful but highly cost- and time-consuming. Computational methods to design thermostable enzymes are thus highly appealing. In this project the student will contribute to the further development and validation of an in silico method for thermostable enzyme engineering, developed at the Biomolecular Engineering Lab of PoliMi. The tasks will consist in the collection and analysis of information from the ProTherm data bank, and their use to improve the computational algorithm to assess the effect of mutations on the enzyme stability. The improved method will then be validated on a specific enzyme, by proposing engineered variants that will be experimentally produced and characterized to verify the increased stability over the wild-type enzyme. Compatible tracks: BIO, CSE Positions available: 1 |
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Proposers: S. Ferrante, E. Ambrosini
Topic: Smart Objects for Monitoring Elderly During Daily Life Activities Description: The research activity is part of the European project MOVECARE (http://www.movecare- project.eu/), which aims at developing an innovative multi-actor platform to support the independent life of elderly people living in their home through supervision, assistance and promotion of activities to prevent physical and cognitive decline, and social exclusion. This work is about the possibility to extract and analyse indicators of gesture degeneration from the use of smart objects (such as a pen, a handle) equipped with built-in pressure sensors, accelerometer and gyroscopes. Data will be collected in an ecological setting, i.e., while monitoring daily life activities. Real end-users will be monitored at home for four months in a pilot study, and longitudinal data will be available. Compatible tracks: BIO, CSE Positions available: 1 |
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Proposers: L. Pattini
Topic: Genomic Data Analysis of Cells Resistant to Chemotherapeutic Drug Treatments Description: The project aims at identifying mutations that confer resistance to treatment with antimitotic drugs. Population of yeast cells have been evolved in conditions that mimick the treatment with antimitotics. Resistant clones will be analyzed by sequencing their whole genome to identify and characterize patterns of mutations that are responsible for the resistant phenotype. DNA sequences will be obtained by means of Next Generation Sequencing techniques. Research activity concerns both low level analysis for experimental raw data processing and explorative analyses of mutation patterns through integrative bioinformatics and genomic data mining. Compatible tracks: BIO, CSE Positions available: 1 |
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Proposers: R. Barbieri, L. Mainardi
Topic: Extraction of Biological Signals from Video Camera Recordings Description: There is a fast growing interest in the use of non-contact devices for health and performance assessment in humans. Video-photoplethysmography (vPPG) is a non-invasive, optical technique able to remotely detect blood volume changes in humans using ambient light and a consumer-level digital camera. Of note, the use of non-contact video-photoplethysmography (vPPG) has been recently demonstrated as a feasible way to extract cardiovascular information. Nevertheless, several technological and methodological issues need to be addressed to transfer the technology to the clinical and commercial market. The candidate will be required to develop novel algorithms, both for the extraction of the vPPG signal and for identification of physiological parameters, in order to improve the performances of existing methods. Performances from the new methods will be compared with results obtained from symultaneously recorded physiological variables (i.e. ECG, PPG, GSR etc.) using traditional physiological signal processing methods. The Candide will be required to partecipate to experimental campaigns. The recordings will be initially performed on healthy control subjects in different indoor experimental settings eliciting controlled autonomic responses. In accordance to the level of experimental development, further recordings in less controlled settings and clinical environment could be considered. The candidate will be involved in both experimental and methodological developments. At the end of the project, the candidate will own state-of-the art expertize in advanced signal processing techniques. Depending on the level of improvement of the newly developed techniques, the project will lead to original publications in international journal, as well as possible patent applications for new biosignal recording devices. Compatible tracks: BIO, CSE Positions available: 1 |
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Proposers: P. Cerveri
Topic: Development of Statistical Shape Model for Rigid and Non-Rigid Anatomical Surfaces Description: Context Statistical shape models (SSM) have emerged as promising tools in the biomedical field for their ability to represent continuous morphologic variations of anatomical shapes, reconstructed from CT and MRI scans (see in appendix for technical details). They were proved to address both global and local variations, including pathologic abnormalities. SSM, have been recently taken into account to represent the morphologic variability intrinsic to both soft and rigid body parts with applications in medical image processing and analysis, computer graphics, anatomic quantification, computer-assisted planning and surgery. Coping with rigid anatomic shapes requires addressing physiological and pathological variabilities. For examples, when considering a femur shape dataset we have to address variabilities due to overall size (e.g. due to age), bending of the shaft (male vs female), condylar profiles (young vs aged people), pathologic conditions affecting the articular facets and so on. Considering soft shapes like the liver for instance we have to take into account biomechanical modifications (due for instance to the actual position of the CT/MRI scan acquisition, the surrounding organ pressure, the pathologic condition, ..) meaning that such large morphologic variability can disturb actually the construction of the SSM. The aim of this thesis is to develop shape alignment methodologies for computing robust SSM of soft anatomical shapes. The work might take advantage of the collaboration with Ospedale Niguarda Ca? Granda di Milano and University of British Columbia where the student could spend a period during the thesis. The work will start from a set of custom SW tools developed in previous works. The student will investigate different approaches including the use of finite element modelling to compute deformation from the acquired shape to a template shape before SSM construction. Liver raw data will be collected from Radiology Unit, Ospedale Niguarda Ca? Granda di Milano. Compatible tracks: BIO, CSE, TLC Positions available: 1 |
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Proposers: E. De Momi
Description: Variable Impedance Control for Human-Robot Cooperative Tasks Description: Human robot collaboration is one of the pillars of the Industria 4.0 revolution, as it allows getting rid of the safety fences, increasing the production flexibility and performing complex tasks in unstructured environments. A typical example of this cooperation is the human robot physical interaction that in the industrial and biomedical domains (e.g. in assistive robotics or surgery) gives rise to hands-on control, allowing the operator to freely move the robot through the task for task teaching and/or execution purposes. Though this control technique has been extensively studied in the robotics literature, only a few researchers have considered the problem of stability and quality of the human-robot interaction, two issues crucial to achieve a safe interaction and an accurate execution of the planned task. The main goals of this research are the development of: a) accurate and experimentally validated human arm model, for a safe preliminary assessment of the developed control algorithms and simplified models, including all the control relevant dynamics, to support stability analysis and control design in real time; b) variable impedance control strategy, that allows to improve interaction stability and accuracy through an online estimation of the human arm impedance; c) indexes to assess the quality of the executed task, suitable for typical industrial and biomedical tasks; d) experimental protocol and a set of tests that allow to assess the validity of the proposed control approach (using compliant serial robots available in the laboratories). The work will exploit Matlab facilities as the robotics toolbox and Simulink. Compatible tracks: BIO, CSE, TLC Positions available: 1 |
Research topics in Computer Science and Engineering
| Track CSE - Group Advanced Software Architectures and Methodologies |
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Proposers: G. Agosta
Topic: Compiler Construction & Programming Language Implementation Description: The research area covers dynamic and static compiler techniques (including decompilation) aiming at extra-functional goals such as performance, energy efficiency, security, functional and performance portability, as well as the design and implementation of parallel programming models. Compatible tracks: CSE Positions available: 1 |
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Proposers: D. Ardagna
Topic: Machine Learning Methods for Performance Evaluation of Software Systems Description: Nowadays, our society is supported by complex software systems often run in clouds. To obtain an efficient use of resources, a performance model is required. Machine learning techniques are becoming popular, since are both accurate and scalable. This work involves the development of machine learning models for systems spanning from deep learning training on GPGPUs to Big Data. Compatible tracks: ATM, CSE, TLC Positions available: 1 |
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Proposers: L. Baresi
Topic: Mobile Applications and Cloud Computing Description: Cloud computing and virtualised resources impose that software systems be conceived as assemblies of both application and infrastructure software elements. Mobile apps, besides exploiting the cloud, pose additional problems: for example, sensor-rich devices, devices with different characteristics, and cross-platform development. Software engineering must be able to adapt itself, embed these new needs and challenges, and provide appropriate methods and tools. Compatible tracks: CSE Positions available: 1 |
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Proposers: G. Cugola
Topic: Models for Event-based and Streaming Applications Description: Many information systems need to make sense of large streams of events to detect relevant and critical situations. Our research group investigates new models and languages to "reason" on streaming data, while also coping with the volume, velocity, and variety of the events in the stream. Compatible tracks: CSE Positions available: 1 |
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Proposers: A. Margara
Topic: Parallel and Distributed Stream Processing Description: Processing streams of data is crucial in ICT applications, to support decision making and enable timely reactions. Our research group investigates new paradigms to make big data stream processing applications more efficient, by exploiting massively parallel hardware and distributed infrastructures. Compatible tracks: CSE Positions available: 1 |
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Proposers: L. Mottola
Topic: The Battery-less Internet of Things Description: Energy harvesting is redefining the energy constraints of traditional battery-powered IoT devices. However, such sources of energy are generally erratic, causing systems to shutdown unpredictably. We devise new software techniques to render IoT software immune to periods of energy unavailability. Compatible tracks: CSE, ELN, TLC Positions available: 1 |
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Proposers: M. Rossi
Topic: Safety Assessment of Human-Robot Collaboration Applications Description: Human-robot cooperation (HRC) in dynamic workspaces is a core feature of the Industry 4.0 paradigm. Flexible and adaptive manufacturing involves changing configuration of workflows and even of layouts. This area of research focuses on methods and tools for designing HRC application that guarantee the safety for workers under all circumstances. Compatible tracks: CSE, ATM Positions available: 1 |
| Track CSE - Artificial Intelligence and Robotics |
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Proposers: F. Amigoni
Topic: Multirobot Systems Teams of cooperative robots can provide effective and efficient solutions for performing tasks in warehouse management, information gathering, search and rescue, and patrolling. Such multirobot systems present challenges in the development of decision-theoretic planning tools to accomplish the tasks with the appropriate level of autonomy. Compatible tracks: CSE, ATM Positions available: 1 |
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Proposers: A. Bonarini
Topic: Human-robot Interaction An effective interaction between robots and people requires online modeling, learning, and adaptation, in the real world, acquiring data from sensors still far from ideal, and exploiting at best shape and affordances a robot can be designed to have. Applications could be inclusive robogames for all. Compatible tracks: CSE, ATM, BIO Positions available: 1 |
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Proposers: N. Gatti
Topic: Algorithmic Game Theory, Mechanism Design, and Multiagent Learning This area, central in Artificial Intelligence, studies of the strategic interactions among agents, aiming at prescribing the best strategy for the players (Libratus), or at designing interaction mechanisms that are robust when agents are selfish and computationally efficient (kidney exchange), or at learning how to exploit the strategy of an agent that is not playing at the equilibrium. Compatible tracks: CSE, ATM Positions available: 1 |
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Proposers: D. Loiacono
Topic: Machine Learning for Videogames Design and Development Machine learning promises to have a huge impact on the next generation of games, assisting designers and developers to provide highly immersive, complex and rich player experiences. In particular, novel game technologies, such as data-driven design and procedural content generation, can benefit from the recent machine learning developments. Compatible tracks: CSE Positions available: 1 |
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Proposers: M. Matteucci
Topic: Computer Vision for Autonomous Navigation Computer vision is entailed with giving machines the capability of understanding the surrounding. When moving autonomously this means to perceive observer egomotion and the surrounding obstacles simultaneously. This applies to autonomous vehicles and robots, but is also the key for augmented and virtual reality. Compatible tracks: CSE Positions available: 1 |
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Proposers: M. Restelli
Topic: Reinforcement Learning Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. Reinforcement learning is rapidly gaining attention both from academic and industrial communities due to recent successes in a variety of sequential decision-making problems. Compatible tracks: CSE Positions available: 1 |
| Track CSE - Data, Web and Society |
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Proposers: M. Brambilla
Topic: Social Analytics Description: Social Analytics focuses on human-generated content, relations, behaviors and activities. It applies data science methods (big data management, data integration, machine learning, data visualization, and social science) to user profiling, pattern detection (including trends and fake news) and knowledge extraction from multiple sources. Compatible tracks: CSE Positions available: 1 |
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Proposers: S. Ceri
Topic: Data-Driven Genomic Computing Description: Modern genomics is producing masses of data, that need to be stored, extracted, and analysed. Our research addresses new methods of data management, data science and cloud computing for developing innovative tools, languages and frameworks and for applying them to open biological and clinical problems. Compatible tracks: CSE Positions available: 1 |
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Proposers: F. Daniel
Topic: Distributed Computing on the Blockchain Description: Blockchain was born as a static, distributed ledger; today it also allows the execution of code. This is however subject to sever restrictions. The challenge is understanding how to use the blockchain as a distributed computing platform that facilitates trustworthy and cost-efficient reuse of code. Compatible tracks: CSE Positions available: 1 |
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Proposers: D. Martinenghi
Topic: Ranking Queries and Multi-Objective Optimization Description: The simultaneous optimization of different criteria (e.g., attributes of a DB) is a problem naturally arising in recommendation systems, meta-search, nearest neighbors, and many other scenarios. The aim is to discover potentially interesting data in these contexts, with tools such as skylines and top-k queries. Compatible tracks: CSE Positions available: 1 |
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Proposers: M. Masseroli
Topic: Bioinformatics Description: Bioinformatics research is focused on big life science data and information of different types increasingly available in many heterogeneous sources, and their best management, integration, mining and analysis for knowledge discovery, to better understand complex biological phenomena. Compatible tracks: CSE, BIO Positions available: 1 |
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Proposers: M. Matera, V. Zaccaria
Topic: Chatbots for Data Exploration Description: It focuses on chatbots for the exploration of extensive collections of data. The aim is to get to a novel use of such interaction paradigm as intermediary for the users to make sense of data, i.e., facilitating the access to a large body of content and the enactment of actions leading to the achievement of user goals. Compatible tracks: CSE Positions available: 1 |
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Proposers: E. Quitarelli, L. Tanca
Topic: Data, Web, and Society - Ethics in Data Analysis Description: Methods, techniques and tools to recognize whether, when choosing data analysis/exploration procedures, the legal and ethical principles and norms of society have been observed. Compatible tracks: CSE Positions available: 1 |
| Track CSE - Information Systems |
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Proposers: P. Plebani
Topic: Fog Computing in Industry 4.0 Description: Analysis of solutions able to balance between ACID and BASE models for data management in Fog (Cloud+Edge) environments applied to Industry 4.0 solutions for an effective management of high volumes of data collected from sensors to support business processes through data and task movement. Compatible tracks: CSE Positions available: 1 |
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Proposers: C. Francalanci
Topic: Technical Benchmarking and Business Benefits of the Big Data & Analytics Applications Description: The student will develop a methodology and software tools for measuring the business benefits of the main big data & analytics applications. The measurement should be carried out with a quantitative and, if possible, economic approach. The economic benefits must be related to the technological architectural choices and the corresponding performance and cost benchmarks. Compatible tracks: CSE Positions available: 1 |
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Proposers: B. Pernici
Topic: Mining Scientific Data Description: Based on techniques to extract information and to classify scientific papers and experimental data, create an information system based on a knowledge graph for exploring a scientific data repository. The thesis topics will include data and process modeling, big data infrastructures, and machine learning. Compatible tracks: CSE Positions available: 1 |
| Track CSE - System Architectures |
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Proposers: L. Cassano
Topic: Dependability Solutions for Critical Infrastructures Description: The research area focuses on the design and development of methodologies and tools to support the design and deployment of dependable ICT for critical infrastructures. Tolerance, test and diagnosis of faults in the components of a critical infrastructure will be the target activities. Compatible tracks: CSE, ELT, TLC Positions available: 1 |
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Proposers: A. Miele
Topic: Design of Approximation-based Fault Management Strategies Description: The project exploits approximate computing to define fault handling strategies tailored for selected classes of applications (e.g. image processing). The goal is to reduce the area/time/power overhead of traditional redundancy-based hardening and achieve an improved fault classification capability. Compatible tracks: CSE, TLC, BIO Positions available: 1 |
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Proposers: G. Palermo
Topic: Self-Tunable Application in High Performance and Embedded Computing Systems Description: The research area in self-tunable application focuses on the design and development of methodologies, libraries, and tools to always guarantee the efficient execution of the target code. Its importance is increasing in several computing areas requiring high level of specialization, ranging from high-performance computing to embedded and cyber-physical systems. Compatible tracks: CSE Positions available: 1 |
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Proposers: M. Roveri
Topic: Intelligent Embedded and Cyber-Physical Systems Description: The research will address methodological and application-related aspects of intelligent embedded and cyber-physical systems, i.e., embedded and cyber-physical systems endowed with intelligence abilities making them self-adaptive, robust, energy-efficient and able to interact with the environment. Compatible tracks: CSE Positions available: 1 |
Research topics in Telecommunication Engineering
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Proposers: G. Bernasconi
Topic: SW based solutions for pipeline monitoring Description: Pipelines are an important asset in fluid transportation. Current solutions for monitoring their integrity and efficiency are based on the medium/long term analysis of the "multidomain" parameters recorded along the line (pressure, temperature, flow, density, vibrations, etc.), also with machine learning approaches. The research project activities involve the definition of the scenarios/parameters of interest, the design of new prototypal recording systems and layouts, the study and implementation of advanced simulation/monitoring procedures and strategies. Compatible tracks: ATM, CSE, ELN, ELT, TLC Positions available: 1 |
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Proposers: M. Nicoli
Topic: Signal processing techniques for vehicle-to-vehicle communications supporting connected automated driving Description: This area focuses on signal processing methodologies for vehicular communication systems based on millimeter waves (mm-wave) to support cooperative automated driving (CAD). Mm-wave signals (30-300 GHz), currently employed for automotive radar, have the potential to support high data-rate (1 Gbps) and ultra-low latency (1 ms) communications between self-driving vehicles for enabling cooperative perception and maneuvering functionalities. By high data-rate vehicle-to-vehicle (V2V) communications, vehicles can share high-definition maps of the driving environment (radar, camera, lidar) and enlarge their perception range, with huge benefits in road safety. Fast V2V interactions enable the vehicle to exchange the planned trajectories and synchronize the mobility patterns to form tight autonomous convoys with enhanced traffic efficiency. This research area focuses on the design of mm-wave V2V connectivity to support these functionalities. Large antenna arrays are employed at the transceivers to form sharp beams and counterbalance the high path-loss of mm-wave propagation. Main objective is the development of innovative algorithms for fast alignment and tracking of the beam-pointing between vehicles, or between vehicles and infrastructure, exploiting side information on vehicles? dynamics and data fusion with interconnected vehicles Compatible tracks: TLC, ATM, CSE Positions available: 1 |
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Proposers: U. Spagnolini
Topic: Role of 5G wireless communications in vehicle (self)mobility: concept and reuse of on-board radar for V2V communication Description: 5G wireless paradigm will be disruptive in many areas, and one key area will be the way vehicles communicate one-another with extremely low-latency. Tactile-internet is relevant in this field to enable the vehicle to vehicle (V2V) communication, to enable machine learning algorithms for augmented car platooning vision. Radar systems are already on-board of vehicles, the scientific focus of the proposal is to augment the use of these radar by designing specific signatures to enable inter-vehicle synchronization and communication to be paired with 5G infrastructure. Compatible tracks: CSE, ELT, TLC Positions available: 1 |
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Proposers: A. Capone
Topic: Software Defined Networking and Network Virtualization Description: 5G wireless paradigm will be disruptive in many areas, and one key area will be the way vehicles communicate one-another with extremely low-latency. Tactile-internet is relevant in this field to enable the vehicle to vehicle (V2V) communication, to enable machine learning algorithms for augmented car platooning vision. Radar systems are already on-board of vehicles, the scientific focus of the proposal is to augment the use of these radar by designing specific signatures to enable inter-vehicle synchronization and communication to be paired with 5G infrastructure. Compatible tracks: CSE, ELT, TLC Positions available: 1 |
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Proposers: M. Cesana
Topic: Internet of Things for Smart Campus Description: This research topic targets the design and prototyping of Internet of Things solutions to support smart campus applications. Sample applications may include smart thrash bins, smart parking and pedestrian flow tracking. The work will produce in the end a working prototype of a IoT system including the sensors/actuators devices, the communication system to bring the data to a central controller and the backend to store, process and visualize the collected data. Compatible tracks: TLC, CSE Positions available: 1 |
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Proposers: A. Redondi
Topic: Extracting Knowledge from Network Data Analytics Description: Network traffic data traces are precious sources of information to learn and anticipate the network behavior thus being able to adapt the network resources on- the fly. The work will start off from real network traffic data traces from mobile radio network and will consist in applying machine learning tools to extract knowledge from the data traces. Compatible tracks: TLC, CSE Positions available: 1 |
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Proposers: G. Verticale
Topic: Information and Communications Technologies for Smart Energy and Smart Grids Description: The electric power grid is undergoing unprecedented changes that have transformed it to a distributed, user-centric smart grid. Realizing the vision of the smart grid is contingent upon deploying reliable and effective information and communication technology solutions that enable high-speed, two-way communications. Indeed, communication technologies are a key enabler for many of the foreseen smart grid features such as demand response, advanced metering infrastructure (AMI), electric vehicle and storage unity integration, and microgrid control. To this end, a plethora of solutions for smart grid communications have recently emerged that rely on a myriad of wireless communication and power line communication technologies. This includes novel approaches to enable smart meters and other smart grid machine type devices to communicate with the grid, as well as new communication solutions to enable vehicle-to-grid and grid-to-vehicle communications. The integration of information and communication technologies in the grid also raises poses security risks that must be mitigated from a cyber-physical perspective. Compatible tracks: CSE, ELT, TLC Positions available: 1 |
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Proposers: M. Tornatore, F. Musumeci
Topic: Machine Learning Based Management of Optical Networks Description: The work targets the development of machine learning tools and algorithms for failure detection and failure identification in optical networks. Failure detection/identification tools can then be leveraged by the network operators to properly adapt the network by re-routing traffic. Compatible tracks: ATM, TEL, CSE Positions available: 1 |
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Proposers: M. Tornatore, F. Musumeci
Topic: Machine Learning Based Management of Optical Networks Description: The work targets the development of machine learning tools and algorithms for failure detection and failure identification in optical networks. Failure detection/identification tools can then be leveraged by the network operators to properly adapt the network by re-routing traffic. Compatible tracks: ATM, TEL, CSE Positions available: 1 |
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Proposers: A. Melloni
Topic: Photonic Devices Description: Integrated photonic devices for telecom and datacom, signal processing, (bio)-sensing and neuromorphic applications. Technology (materials and processes for fabrication), design, characterisation and testing. Advanced numerical simulators. Work to be done in the framework of European and industrial projects. Compatible tracks: ELN, TLC, CSE Positions available: 1 |
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Proposers: L. Luini, C. Riva
Topic: Advanced satellite communication systems Description: Investigation and modelling of electromagnetic wave propagation oriented to advanced satellite communication systems, which are shifting from broadcast to interactive systems (e.g. Internet via satellite), to higher frequency bands (e.g. from 30 GHz up to 80 GHz), from using geostationary satellites to satellites on Low and Medium Earth. Compatible tracks: TLC, ELN Positions available: 1 |
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Proposers: M. Martinelli
Topic: Optical Communications Description: The research area addresses the latest developments in the field of optical communications including wireless optics, novel modulation and multiplexing techniques and optical sensors. Compatible tracks: ELN, TLC, CSE Positions available: 1 |
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Proposers: M. Magarini
Topic: Molecular and Nanoscale Communication Description: Molecular Communication (MC) is an enabling paradigm for the interconnection of future devices and networks in the biological environment, with applications ranging from bio-medicine to environmental monitoring and control. The research area will focus on the engineering of biological circuits, which allows to manipulate the molecular information processing abilities of biological cells in order to realize MC-enabled devices. The main subject of investigation will be the design and engineering of communication protocols and systems harnessing molecules as the key information carrier. Compatible tracks: BIO, ELN, TLC Positions available: 1 |
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Proposers: A. Spalvieri
Topic: Evaluation of 5G Transmission Description: Experimental research on 5G low-latency links for monitoring and controlling flying drones through beyond visual line of sight approaches. Compatible tracks: TLC, CSE, AUT, ELN Positions available: 1 |
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Proposers: L. Reggiani
Topic: Public Safety Communication in the Context of Emergency Situations Description: The objective is to design and evaluate efficient heterogeneous resource management techniques by adaptive power control, throughput enhancement and interference management for D2D communication on 5G in a decentralized emergency scenario where decentralized means there is no communication or control from base station (gNodeB). The originality is to exploit machine learning (ML) techniques to improve the existing state of the art works. Further, by exploiting unmanned aerial vehicle (UAV) for weak signal detection, and devices accurate position evaluation is an important objective. The deployed setup with UAV assisted connectivity is one of the novel contribution. In addition, context aware and reliable D2D multi-hop routing and network connections to ensure high end-to-end throughout and low end-to-end energy consumption and delay is another core objective. Compatible tracks: TLC, ELN Positions available: 1 |