Students XXXVIII cycle

List of the PhD candidates for the XXXVIII cycle, enrolled in the sixth year of the PhD Programme

Nicola Lowenthal

Nicola Lowenthal

Sensors for real-time health monitoring in automotive.

September 2022: Master’s Degree in Electronic and Telecommunications Engineering for Energy,  110/110,  University of Bologna.  Thesis title: “Sviluppo di un framework di simulazione per la spettroscopia di impedenza elettrochimica su batterie agli ioni di litio”. Advisor: Prof. Ing. Marco Crescentini. Co-advisor: Prof. Ing. Pier Andrea Traverso,  Roberta Ramilli.

November 2019 - September 2022: Student,  Electronics and Telecommunications Engineering for Energy,  University of Bologna.

September 2016 - November 2019: Student,  Electronics Engineering for energy and information,  University of Bologna.

Particular interests in sensor technology,  electronic design,  electronic measurements,  and hardware/software engineering systems.  Technical skills include MATLAB,  LTspice,  KiCad,  Electric VLSI,  VHDL,  and Cadence.

Lidiana Arrè

Lidiana Arrè

3D printing in Construction: Wire-and-Arc Additive Manufacturing technology for structural engineering applications.

April 2022 – August 2022: Research fellow,  University of Bologna. Design and Fabrication of Wire-and-Arc Additively Manufactured metal elements,  which is related to the 3D printing of a tubular object equipped with a guide and an integrated support to print the outcome.

March 2022: International Master’s Degree in Civil Engineering,  curriculum Structural Engineering,  University of Bologna,  with a final grade of 110/110 cum Laude. Thesis: “Design,  Fabrication and Mechanical Characterization studies on Wire-and-Arc Additively Manufactured (WAAM) diagrid elements”. Supervisor: Prof. Tomaso Trombetti,  Co-Supervisors: Dr Michele Palermo PhD,  Dr Vittoria Laghi PhD,  Prof. Harald Kloft. The thesis was partially carried out at Technische Universität Braunschweig (TUB),  Institut für Tragwerksentwurf (ITE),  within the project A07 focused on “Wire-and-Arc Additive Manufacturing (WAAM) of complex individualized steel components”.

March 2019: Bachelor’s Degree in Civil and Environmental Engineering,  curriculum Civil Engineering,  Polytechnic of Bari,  with a final grade of 110/110 cum Laude. Thesis: “Development of a metamaterial with a tensegrity scheme”. Supervisor: Prof. Domenico De Tommasi,  Co-Supervisors: Prof. Francesco Trentadue,  Prof. Giuseppe Puglisi,  Prof. Gianluca Percoco. The prototypes of tensegrity structures were fabricated using the polymer 3D printing process.

Particular interest in Additive Manufacturing,  Computational Design and Structural Optimization Strategies.

Camilla Bahia Larocca

Camilla Bahia Larocca

Use of machine learning algorithms for in-line Structural health monitoring of metallic pressure vessels.

September 2020 – October 2022: Master’s Degree in Electrical Engineering in the area of Information Processing at the Federal University of Bahia/Brazil. Thesis Title: “Ensemble of classifiers for IF steel plates evaluation using pulsed eddy current.”  The thesis contains a study of a set of intelligent techniques focused on feature extraction and signals classification,  with the objective of identifying IF steel samples regarding the modifications of mechanical properties through non-destructive testing using the pulsed eddy current technique (PEC) with an evaluation of different ensemble models for classification optimization. The model building and the signal processing were carried out using Python.

August 2013 - December 2019: Bachelor’s Degree in Industrial Electrical Engineering with an emphasis in Telecommunications at the Federal Institute of Education,  Science,  and Technology of Bahia/Brazil. Between 2015 and 2018 participated in the activities of an NDT research group,  and the application of machine learning and MATLAB for signal processing of Electromagnetic Methods was investigated. Between May 2019 and November 2019 was an intern at Federal Institute for Materials Research and Testing (BAM) in Berlin/Germany,  in Division 8.4 - Acoustic and Electromagnetic Methods.

Her research interests focus on signal processing and machine learning associated with Acoustic and Electromagnetic NDT Methods.

Xiaowei Bai

Xiaowei Bai

Zero Impact MUltifunctional 3D printed composite materials for biomedical and industrial applications in the neXt generation society (ZIMuX).

Xiaowei Bai is a Ph.D. student at University of Bologna,  enrolled in the Prof. Nicholas Fantuzzi's team under the ZIMuX project. After completing his Bachelor's Degree in Engineering Mechanics from Wuhan University,  China in 2019,  he got the qualification to become a postgraduate candidate exempt from admission examination.

During his postgraduate period,  his research interests are as follows: (1) the accurate and efficient solution for the instability analysis of composite materials,  and (2) Data-driven Computational Mechanics (DDCM),  which is proposed as a new computational paradigm in recent years.

The skills he is familiar with include the software of ABAQUS and Matlab.

Luca Bartolomei

Luca Bartolomei

Guided scene perception.

February 2022 - September 2022: tutor at the course of “Fondamenti di Informatica T-1 - Ingegneria gestionale”. 

September 2020 - October 2022: Master's degree in Computer Engineering at Alma Mater Studiorum (University of Bologna),  achieving a final grade of 110/100 cum laude.  Master thesis in Digital Systems with the title ""Percezione depth guidata mediante proiezione virtuale di pattern"". Advisor: Prof. Stefano Mattoccia Co-Advisor: Dott. Matteo Poggi,  Dott. Fabio Tosi. 

September 2017 - July 2020: Bachelor's degree in Computer Engineering at Alma Mater Studiorum (University of Bologna),  achieving a final grade of 110/100 cum laude. 

Particular interests: computer vision,  stereo vision,  deep learning.

Maicol Ciani

Maicol Ciani

Extending RISC-V Embedded System Controllers of Autonomous Nano Drones for Hardware-Assisted Security.

September 2015 – March 2019 Bachelor’s Degree in Electronic and Telecommunication Engineering,  with a particular focus on electronics. Thesis about the Cloud Computing infrastructures.

September 2019 – October 2022 Master’s Degree in Electronic Engineering - Electronic Technologies for Big-Data and Internet of Things with a particular focus on Hardware – Software Design of Embedded Systems. He graduated with 110/110 cum Laude under the supervision of Prof. Davide Rossi. During his master’s thesis,  entitled System-Level Integration of a Security Enclave on a RISC-V based Embedded System on Chip,  he extended the hardware of an SoC (a navigation controller for autonomous nano drones) with a Secure Subsystem based on the Opentitan architecture. He designed a secure communication mechanism between the Host and the Secure Subsystem based on ARM SCMI and he developed bare metal software to test the extended architecture on an FPGA emulation.

During his Master’s Degree,  he developed good hardware and software design skills,  particularly in SystemVerilog and C languages,  as well as good knowledge of embedded architectures for IoT applications and hardware-assisted security.

Paola Di Fluri

Paola Di Fluri

Assessing and modeling human and climate change impacts on quantity and quality status of freshwater bodies.

I'm Paola Di Fluri 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 an 18 CFU thesis in hydrological modeling entitled ""Exposure of natural watercourses to the spill of pollutants: development and application of a fast approach "". 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 September 2021.During my year as a research fellow I was able to improve skills related to hydraulic modeling,  water quality and water management. I  attended in several conferences in Italy and abroad: these experiences showed me a further side of the research that I loved and increased my desire to deepen my knowledge as much as possible.

Valentina Di Talia

Valentina Di Talia

An innovative framework for the quantitative assessment of technological accidents triggered by hydro-meteorological events in the chemical and process industry.

September 2019 - August 2022: Research fellow at CIRI FRAME (University of Bologna) in the context of the Interreg Project E-CITIJENS. Main activities: emergency management and communication,  and application of innovative crowdsourcing techniques. 

February 2019: Master's Degree in Environmental Engineering,  University of Bologna. Thesis title: "Potential use of potted ornamental plants for the abatement of Volatile Organic Compounds in indoor environments". Supervisor: Prof. Giacomo Antonioni. 

January-June 2008: Exchange Student,  Brno University of Technology (Czech Republic). Winner of Erasmus+ call 2007/2008. 

Particular interests: Environmental modelling (oil spill fate and transport models,  indoor air modelling); Industrial and NaTech risk assessment.

Basava L.C. Ghanta

Basava L.C. Ghanta

Reliable damage detection procedures for bridges using heterogeneous data and machine learning algorithms.

Master Thesis: “Structural Damages  Classification & Identification Using Frequency Response Functions and Artificial Neural Networks”. Master's Work: Development of damage classification and identification techniques with Artificial Neural networks and Frequency response functions under Random vibration load to an Aircraft Stiffened Panel. The work involved combination of FEM simulations and Measured Data to train the ANN for immediate and Real Time Damage predictions.

Work Profile: I had more than 8 years experience on working of Bridge structural health monitoring systems including Design,  Install,  commission and Data analysis. Data Analysis to estimate Bridge performance and stability with combination of Strain Gauges,  Vibration and Rotation Monitoring,  Thermal Gradients and Corrosion etc.

Research Interests: Data Management and Analysis,  Reliability and Robustness of the Monitoring System,  Practical SHM Solution to the Bridge Monitoring,  ANN,  Vibration Analysis,  Fiber Optic Strain Gauges.

Amirhossein Kiamarzi

Amirhossein Kiamarzi

HPC Processors’ Ultra-Low-Power Multi-Core Microcontroller for Thermal and Power Control.

Currently engaged in research on the design of an open-source multi-core RTL platform that work as a power control system.

September 2016 - February 2020: Master degree in Computer Engineering majority of Computer Systems Architecture at Shiraz University. Master thesis with the title “A New Approach for High-Level Synthesis of Iterative Computational Algorithm on FPGA”. Advisor: Prof. Reza Sameni.

September 2011 - February 2016: Bachelor degree in Shiraz University in Computer Engineering. During my bachelor thesis,  I Implement an online-sorting platform on FPGA.

Particular interests: Every thing related to hardware such as High-Performance Computing,  Hardware Architecture,  Digital System Design of Signal/Image Processing Algorithm and so on.

Nicolò Lo Presti

Nicolò Lo Presti

Innovative eco-sustainable materials for the energy and seismic improvement of civil buildings.

September 2021 - October 2022: research fellow at DICAM - University of Bologna,  Modeling and analysis of salt crystallization and mechanical damage in porous materials. Tutor: Prof. Stefano de Miranda.

April 2020 - August 2021: research fellow at CIRI EC – University of Bologna,  Existing building information modeling for the management of interventions on heritage buildings. Tutor: Prof. Giovanni Castellazz.

March 2020: Master of Science in Civil-Structural Engineering – University of Bologna. Thesis title: Pushover-based force-displacement description of in-plane collapse mechanisms in masonry structures. Advisor: Prof. Stefano de Miranda,  co-Advisors: Prof. Gabriele Milani,  Prof. Antonio Maria D’Altri,  Dr. Nicola Grillanda.

Interests: finite element modeling of masonry structures,  salt crystallization induced damage in porous materials,  building information modeling,  strengthening systems for existing buildings,  building materials.

Mariano Nerone

Mariano Nerone

Intelligent sensor systems and low power predictive maintenance for automotive applications.

Mariano was born in Mantova in 1997.  He attended Computer Engineering at the University of Bologna,  which let him partecipate to the Formula Student Team UniBo Motorsport,  developing his bachelor degree thesis titled: ""Design and Implementation of an Embedded Driver Interface for Racing Vehicles"". 

During his years in the Computer Engineering Master Degree his research in the field of embedded devices and the automotive continued,  resulting in an internship in HPE Coxa,  an automotive company based in Modena. The internship,  result of a collaboration between HPE Coxa and the University of Bologna,  is a Master Degree Thesis obtained in December 2021,  titled: ""Design and development of an embedded system for electric motor data acquisition"".

In 2022 he presented an improvement of the system at the IEEE MetroAutomotive Conference and a published a paper on the IEEE Xplore gallery: ""A Wirelessly-Powered Embedded System for Temperature Measurements of a High Performance Electric Motor Rotor"".  The success and interest gathered by the project gave him the opportunity to take part to an Industrial PhD programme in collaboration with the University of Bologna and HPE Coxa.

Alice Schiaroli

Alice Schiaroli

Analysis of the response of hydrogen storage and transport vessels in external fire conditions.

I am a 24 year old Italian student. On the 7th of October this year I graduated in chemical and process engineering at the University of Bologna. My master thesis ""Risk assessment of liquid hydrogen tanks for heavy duty vehicles” is a study of the risks linked to the use of hydrogen as a fuel for buses.

In July 2020 I got my bachelor’s degree at the University of Bologna. My thesis concerned the analysis of the indirect environmental impacts of flue gas treatment in waste-to-energy plants. During the university I improved my ability to work in team taking part into a project organized in collaboration with the BASF company. Furthermore,  I also refined my informatic skills and I am now able to use software like Matlab,  Autocad,  ALOHA and PHAST.

I got the IELTS C1 certificate in English and I also got the A2 Goethe Zertifikat in German studying on my own. In the past years I experienced two short periods of study abroad to study English,  once in Edinburgh and once in Stratford upon Avon. At the moment,  I give repetitions to younger students to help them in Chemistry,  Math,  and Physics.

Daniele Scocciolini

Daniele Scocciolini

Pervasive sensing and real-time analysis for monitoring potential damage of civil structures.

Particular interests in dynamic identification,  damage detection from vibration measurements,  optimization of structures and targeted planning of maintenance work on existing structures. 

July 2022- current: Research grant at civil,  chemical,  environmental and materials engineering – DICAM,  theme of research: Techniques for the identification of damage in structural elements from vibration measurements,  Advisor Prof. Marco Savoia.

May 2022: Master’s Degree in Civil Engineering 110/110,  curriculum Structural Engineering,  University of Bologna. Thesis title: “Dynamic identification of flexural stiffness variation in a metal beam: experimental investigations and numerical analyses"". Advisor Prof. Cristina Gentilini,  co-advisor: Prof. Antonio Palermo,  Ing. Martina Modesti.

November 2021- July 2022: Master thesis internship at civil,  chemical,  environmental and materials engineering – DICAM"

Mohammad A. Siddiqui

Mohammad A. Siddiqui

Structural health monitoring using operational modal analysis with localization.

Master thesis title: ""Structural Health Monitoring of Composite Materials using Carbon Fiber Sensors""

Experiences: Lecturer(2017 till 2022)

Research Assistant(2014 to 2017)

Skills: Vibrations,  Computational Mechanics,  Sensor development,  FEA

Mattia Sinigaglia

Mattia Sinigaglia

Heterogeneous architecture for nano drones.

Master's degree in Computer Science Engineering at the University of Bologna,  where my main focus was Computer Architecture and hardware design of Embedded Systems. This leads me to do my master's thesis with the title of "Design of a System-on-Chip for audio application" with the support of Prof. Luca Benini and Prof. Davide Rossi. This work aimed to design a SoC which features a single RISC-V core enhanced with an FFT accelerator and the Time Division Multiplexing (TDM) for the I2S peripheral in PULP architecture. The SoC got the name Echoes and has been implemented in TSMC 65nm technology.

Since September 2021 until October 2022 I joined to the research group of Luca Benini as research fellow.

Bachelor's degree in Computer Science Engineering at the University of Bologna. My bachelor thesis aimed to acquire and elaborate images using Zynq architecture.

Sina	Zolfagharysaravi

Sina Zolfagharysaravi

Defect detection and prediction on composite pressure vessels.

Sina was born in Sary,  Iran on 1992. Sina graduated from K.N. Toosi University of Technology (Tehran,  Iran) in 2017 majoring in Earthquake Engineering-Civil Engineering. He completed his master’s thesis under the supervision of Prof. Reza Karami at KNTU. In the thesis,  he worked on the "Design and construction of a Low cost innovative physical framework for Hybrid Simulation and performance assessment of the middleware software".

He also worked on a variety of subjects including: Effective force testing of a Half-Scale two story Steel Moment Resisting Frame(MRF),  Design and construction of vertical TMDs for bridges,  and Performance-Based Design of Structures using strength variation curves. After graduation he started working as Technical Engineer at Structural Lab at K. N. Toosi University of Technology to provide Ph.D. and MSc students with fixture designing,  instrumentation (LVDT,  Accelerometer,  Load cell,  Pressure gauge,  and Strain gauge),  and preparation of data logging network for different experimental studies. 

In April 2021,  he started a research on Vibration-Based Assessment of Concrete Structures using Bayesian Model Updating,  under supervision of Prof. Ebrahimian at University of Nevada Reno. Sina was also involved in an experimental study on the “Use of Fe-SMA tendons as a self-centering element for concrete bridge pier”,  which the test was conducted at the Large Scale Structures Laboratory at the University of Nevada,  Reno (UNR). He was in charge of Data analyzing,  Finite element modeling using OpenSees,  and preparing a report of the whole of the process. The results of his studies are published in peer-reviewed journals and can be found at his google scholar page.

Since November 2022,  he has been working as a Ph.D Researcher at the University of Bologna.

Oumaima Afif

Oumaima Afif

Machine learning-assisted spectral sensors for the environment, structures, and production management.

She received her degree in aerospace engineering from Université Internationale de Rabat (UIR),School of Aerospace, Rabat, Morocco, in July 2022, after completing her thesis on "Routing in CubeSat based on architecture and topology design".

She worked on several projects with foreign universities (Italy ,US and Canada). Her previous work projects included embedded systems (in aerospace renewable energy, and automotive fields), flight control systems, signal and system , and telecommunication for satellites.

Her research interests focus on the application of Machine Learning (ML) in autonomous sensing systems by analyzing ML predictive models based on statistical paradigms (e.g., multivariate analysis ) that require low computational resources and reduced datasets and embedded in electronics with low computational resources using edge computing. The models can be applied to different areas, such as the environment, smart agriculture, mechanical and civil structures, production supply chain control, etc. However, smart and precise agriculture is one application that can benefit from this concept, which can be used to monitor the sap in the trunk trees of an orchard.