Empowering Predictive Maintenance in a SHM Digital Twin Framework.
May 2023 - ongoing: HPC Specialist at IFAB - International Foundation Big Data and Artificial Intelligence for Human Development. Focus on the development of Datalake-as-a-Service (DLaaS) and Digital Twin-as-a-Service (DTaaS) for Industry and PA as part of the EuroCC Project.
February- May 2023: Internship in the Technology Transfer group of the High Performance Computing Department of CINECA.
March 2023: Master Degree in Electronics Engineering from Alma Mater Studiorum – University of Bologna. Thesis Title: “Spiking Neural Networks for Structural Health Monitoring based on vibration analysis”. Supervisor: Prof. Luca De Marchi.
March 2020: Bachelor’s Degree in Electronic and Telecommunications Engineering from Alma Mater Studiorum – University of Bologna. Thesis: " Python and Tensorflow implementation of a convolutional neural network for vehicle classification". Supervisor: Prof. Gianni Pasolini.
Her research interests focus on signal processing and machine learning associated with NDT Methods for damage detection, and their application in the creation of cyber-physical systems for SHM. Technical skills include electronic circuit design and machine learning frameworks.
Development of Edge AI solutions for continuous and real-time structural health monitoring.
Giacomo Donati graduated cum laude in electronic engineering in December 2022, with a master degree thesis entitled "Implementation of TinyML algorithms for structural health monitoring via acoustic emissions".
From January 2023 holds the position of research fellow at the Advanced Research Center on Electronic Systems "E. De Castro" (ARCES). His main interests and skills include hardware and firmware development of embedded systems and the implementation of algorithms and models for digital signal processing.
Seismic Fragility Models for Risk Assessment of Infilled Reinforced Concrete Frame Structures.
October 2022: Master’s degree in Structural Engineering at University of Bologna (UNIBO). Thesis Title: “Numerical Prediction of the Lateral Displacement Capacity of Flexural Reinforced Concrete Shear Walls” Supervisor: Prof. Nicola Buratti (University of Bologna), Co-Supervisor: Prof. Gloria Faraone (University of California, San Diego).
January 2023 - November 2023 : Research grant at the centro di ricerca industriale CIRI edilizia e costruzioni. Research Title : “Experimental study and numerical modeling of mechanical behavior of fiber-reinforced concrete”. Advisor Prof. Nicola Buratti.
Particular interests in seismic and nonlinear dynamic analyses of concrete structures. Technical skills include FEM analysis using OpenSees, TCL and Python Languages.
Simulation of Fluid-Structure interaction phenomena using software couplers.
September 2019 - July 2021: Bachelor’s degree in civil engineering at Alma Mater Studiorum (University of Bologna), achieving a final grade of 110/110 cum laude.
September 2021 - October 2023: Master’s degree in Civil Engineering Curriculum Structures at Alma Mater Studiorum (University of Bologna), achieving a final grade of 110/110 cum laude. Master thesis in Automatic Calculation of Structures with the title “Simulation of Fluid-Structure interaction phenomena using software couplers”. Advisor: Prof. Luca Patruno. Co-Advisors: Jin Xing, Gregorio Bertani.
Particular interest in Computational Mechanics, Fluid-Structure interaction and Coupling Simulation.
Electrical Impedance Tomography for non-destructive monitoring of tissue-engineered constructs.
November 2022 – now: Research fellow at Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna. Project: “An EIT system for advanced biohybrid engineered tissue imaging”. Study and design of an electrical impedance tomography system for the reconstruction of biological images.
July 2022 – Master Degree in Biomedical Engineering from University of Bologna. Thesis Title: ‘Electrical Impedance Tomography: strategie algoritmiche per il problema inverso’. Advisor: Serena Morigi, Co-advisor: Damiana Lazzaro. Topic: Numerical Analysis.
December 2018 – Bachelor Degree in Mechanical Engineering from University of Bologna. First experiences in using numerical techniques to solve engineering problems.
Particular interests: sensor technology and electronic measurements, numerical analysis for the development of techniques for image reconstruction. Technical skills: Matlab and Python (especially EIDORS and PyEIT packages), Arduino programming, Kicad, Soldering of electronic components, AutoCAD, SolidWorks
Deep Learning-based Depth Estimation for Safety-critical Automotive In-cabin Applications.
August 2022 – July 2023 Research Fellow at Computer Vision LAB, UNIBO, Italy. In this period, he developed a new deep learning technique for airborne obstacle detection, using a single camera and doubling the performances of pre-existing systems. He studied unsupervised techniques of domain adaptation and designed a strong dynamic Background subtraction algorithm with an accuracy greater than 90% in scenes with a moving camera.
September 2021 – March 2022 Curricular internship, CV lab, UNIBO, Bologna, Italy. He studied depth estimation CNNs (both mono and stereo), gaining deep knowledge of the more popular computer vision software libraries and frameworks. In this period, he was focused on improving a state-of-the-art stereo depth estimation CNN with monocular reasoning.
September 2019 – March 2022, Master’s degree of Computer Engineering, Alma Mater Studiorum, Università di Bologna. Final dissertation: Boosting stereoscopic depth estimation CNNs with monocular reasoning.
September 2015 – March 2019, Bachelor of Computer Engineering, Alma Mater Studiorum, Università di Bologna. Final dissertation: Autonomous drive vehicle based on mono camera system.
Guidance and Control of underwater drones for monitoring and characterization of marine population.
I am Siva Kumar Mallipeddi, an Aerospace Engineer holding a master’s degree from the esteemed University of Bologna. My specialization lies in advanced Guidance and Control Systems, with a focus on Fault Detection and Diagnosis, as well as designing Fault Tolerant and Robust Control Systems. Proficient in MATLAB/Simulink, Microsoft Office, and LaTeX, I'm in the process of honing my skills in programming languages like Python, C, and C+. My professional journey includes research experience at the University of Bologna, where I delved Fault detection and Isolation unit for drones as part of project called Energy ECS. Additionally, I garnered hands-on expertise during my tenure as a Graduate Engineer Trainee at Tata Sikorsky Aerospace Limited. Currently on the path to pursuing a Ph.D., I am enthusiastic about contributing to the forefront of Engineering research.
Monitoring, analysis and interpretation of landslides in Italy: a multi-disciplinary approach between Mathematics and Environmental Engineering.
July 2023: Master degree in Mathematics, University of Bologna. Thesis title:"Mathematical Modeling: Numerical Simulation of Landslides". Supervisor: Prof. Fabiana Zama. Co-Supervisors: Prof. Germana Landi, Prof. Davide Donati.
December 2020 - July 2023: Student, Mathematics, University of Bologna.
December 2020: Bachelor degree in Mathematics, University of Bologna. Thesis title:"Buchi neri: da curiosità matematica alla prima evidenza diretta". Supervisor: Prof. Marcella Brusa.
September 2017 - December 2020: Student, Mathematics, University of Bologna.
Particular interests in Mathematical Modeling and Deep Learning. Technical skills include Matlab and Python languages.
Statistical-based assessment of anthropogenic and climatic influence on long term hydrological series.
I'm Gianluca Lelli and I'm an environmental engineer. During my studies I had found interest in topics relating to water managment and soil protection. With the aim of specializing in these fields, I chose a thesis in Water Resources Management entitled "Studio dell’influenza delle aree urbanizzate e irrigue sulla perdita di risorsa idrica superficiale in Italia’’.
During the realization of the master's thesis, I approached the world of research for the first time, by which I have been strongly fascinated.
I started working as a research fellow in April 2022 in the field of: “Sistemi modellistici per la valutazione della pericolosità idraulica dei corsi d’acqua”. During this period as a research fellow I was able to improve skills related to hydraulic modeling and water management.
Real-Time High-Bandwidth Peripherals For Micro Aerial Vehicles SoCs.
B.S. Degree in Electronic Engineering in China and Finland.
M.S. Degree in Electronic Engineering from Italy and Germany with part-time study in U.S.A.
Her master’s thesis is "Design and Implementation of an FPGA-based CPI CSI2 adapter".
Her research interests are in digital design and hardware architecture.
Development of innovative tools for the identification and characterization of acoustic emissions.
January - October 2023: Research fellow at ARCES - Advanced Research Center on Electronic Systems “Ercole De Castro”, University of Bologna. Research project: "Communications and wireless power transmission with guided waves" Supervisor: Prof. Luca De Marchi
December 2022: Master Degree in Electronics Engineering (110/110 cum laude), from the University of Bologna. Thesis Title: ''Realizzazione di un Energy Harvester ibrido per applicazioni di monitoraggio strutturale" ("Design of an hybrid Energy Harvester for Structural Health Monitoring applications") Supervisor: Prof. Luca De Marchi Co-supervisors: Matteo Zauli, Lorenzo Mistral Peppi
October 2020: Bachelor Degree in Electronics and Telecommunications Engineering (110/110 cum laude), from the University of Florence. Thesis Title: "Analisi di metodi di inversione tomogra ca di tipo algebrico" ("Analysis of algebraic tomographic inversion methods") Supervisor: Prof. Fabrizio Argenti Co-supervisor: Prof. Luca Facheris
Research interests: Wireless Sensor Networks, Ultrasonic Guided Waves, Nondestructive Testing Techniques, Electronic Design.
Sensor Network for structural monitoring in industrial environment.
May 2023 - November 2023: research fellow at DEI - Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi", Alma Mater Studiorum - University of Bologna. Research project: "Intelligent sensor systems for precision agriculture", mainly focused on population and activity monitoring of pollinating insects.
May 2022 - May 2023: research fellow at ARCES - Advanced Research Center on Electronic Systems “Ercole De Castro”, Alma Mater Studiorum - University of Bologna. Research project: "Architecture and IoT devices for electricity pylons monitoring", in collaboration with Ducati Energia.
March 2022: master’s degree in Electronics Engineering (cum laude), Alma Mater Studiorum - University of Bologna. Thesis Title:"Design and development of a Wireless Sensor Node for Structural Health Monitoring", in collaboration with Rete Ferroviaria Italiana (RFI). Advisors: Prof. Luca De Marchi, Co-advisor: Prof. Matteo Zauli.
His research interests are focused on the design of embedded systems for environmental and structural monitoring, hardware and firmware design, prototyping, testing, diagnostics, power optimization, as well as signal processing, data fusion, algorithm implementation and optimization for edge computing in the context of multi-sensor data aggregation.
Spatial data management and visualization for infrastructure monitoring applications.
October 2023 Master’s Degree in Engineering of Building Processes and Systems – curriculum Historic Building Rehabilitation, Alma Mater Studiorum – University of Bologna, 110/110 cum laude. Thesis title: “Preserving the past with modern techniques: Cloud2FEM and Artificial Intelligence for accurate meshing and analysis of historic structures”. Advisor: prof. Giovanni Castellazzi Co-advisor: dott. Nicolò Lo Presti
March 2021 Bachelor’s Degree in Building Engineering, Alma Mater Studiorum – University of Bologna, 110/110 cum laude. Thesis title: “Recupero di un edificio in pietra del castello di Fiagnano”. Advisor: prof. Luca Venturi Co-advisor: dott. Mara Bianchi
November 2021 – December 2022 Degree programme tutor for the Building Construction Engineering bachelor’s degree, Alma Mater Studiorum – University of Bologna.
Since my very beginning I’ve pursued in many themes related to CHs and their preservation processes. With my MSc thesis I had the opportunity to enhance my skills toward new approaches for structural modelling and analysis of historic structures. Meaningful results were achieved with Cloud2FEM software and AI-based coding approach.
Deploying an Interoperable and Scalable Data Platform for Structural Health Monitoring in the Cloud-Edge Continuum.
Leonardo obtained a Master in Management with major in Digital Business from HEC Paris in October 2021.
His Master’s thesis focused on the impact of technology on the news industry and its distribution channels. He also gained valuable experience in the fields of distributed ledger technology, data management and software development during his internships at ING Bank and Amazon, and his freelancing activity.
Currently, Leonardo is a Ph.D. student under the supervision of Professor Marco Di Felice; his research focuses on the interoperability of IoT devices and data management on the cloud/edge continuum.
Development of innovative sensor systems for structural monitoring and prognostics based on smart processes for predictive maintenance of structures and infrastructure.
Research fellow at ARCES - Advanced Research Center on Electronic Systems "Ercole De Castro", University of Bologna, since 2019. From that time, in collaboration with Department of Agriculture and Food Sciences and Technology of Unibo, the main activity concerns the design and development of systems and sensor nodes for crop monitoring in agriculture by means of non-destructive methods.
Other activities concern the development of wearable biomedical systems and the design and implementation of safety systems in the railway sector. His research interests focus on development, testing and realization of electronic systems for a more sustainable environment, infrastructural sector, and industry.
From a personal point of view, a great passion for the field of pro audio has led him to investigate issues and challenges inherent in this field and to develop commercially available devices. Technical skills include a remarkable ability to prototype devices and their engineering. A strong manual skill and an in-depth knowledge, derived from the use, of both laboratory and workshop tools, allowed him to seamlessly move from concepts to prototypes, sometimes resorting to 'out-of-the-box' methodologies.
Arundo donax panels: physical and mechanical characteristics and environmental impact.
October 2017 - March 2023: 5 years Master’s degree in Architecture at Alma Mater Studiorum - University of Bologna, achieving a final grade of 110/110 cum Laude. Master thesis in Sustainable Architecture. Thesis title: “Fiera District of Bologna: redevelopment of public spaces and the tower of the EmiliaRomagna region”. Supervisor: Prof. Andrea Boeri; co-supervisors: Prof. Danila Longo, Prof. Antonio Esposito, Prof. Kristian Fabbri.
September 2021 - November 2021: Intern at Femto-ST Institute (Franche-Comté Électronique Mécanique Thermique et Optique Sciences et Technologies), Besançon (FR). Publication of Internship’s research topics: “Sandwich Panels with core in Arundo donax and skins in flax fibre with resin” presented at the International Conference NOCMAT 2022. Supervisors: Prof. Luisa Molari, Dr. Vincent Placet, Dr. Thomas Jeannin.
Research interests: Structural and Mechanical behaviour of particleboards and honeycomb panels, sustainable and innovative materials, sustainable Architecture.
November 2023-now: PhD of EIT4SEMM at University of Bologna.
August 2022-July 2023: Research Intern in CoRE Lab at Peking University. The main activities can be divided into three parts: (1) Dataset creation for human activity understanding in biolab (2) Challenging benchmarks design (establish benchmarks for specific problems, especially ambiguous actions, and transparent object detection) (3) paper writing (this project is published on NeurIPS).
September 2021-June 2022: perception algorithm engineer at Beijing Tage IDriver Technology Co., Ltd, Beijing. The main tasks can be divided into three categories: (1) High robust 3D object detection R&D, especially in challenging environments, (2) Dataset creation for 3D object detection R&D, and (3) LiDAR and GPS calibration method development and deployment.
September 2020-February 2023: Master’s degree in Traffic Information Engineering and Control at Beihang University. Mater’s thesis is “Research on Challenging Object Detection using LiDAR for Roadside Perception”. The research aims to address the false alarms caused by challenging objects with limited features in complex environments. To this end, the study proposes a feature enhancement and cascading network for 3D object detection using LiDAR.
September 2016-July 2020: Bachelor’s degree in Traffic Engineering at Wuhan University of Technology.