DRII SEMINAR DAY PHD PROGRAM IN INFORMATION ENGINEERING DOTTORATO DI RICERCA IN INGEGNERIA DELL'INFORMAZIONE (DRII) NOVEMBER 25, 2021
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PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
DRII SEMINAR DAY
November 25, 2021
Department of Information Engineering
University of Brescia
PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
November 25, 2021
13:30 – 13:45 Welcome from the PhD Coordinator
Curriculum in Telecommunication Engineering:
13:45 – 14:00 Valentina Bonomi, ”Combinatorial Auctions and Nurse Routing Problems for Home Healthcare Applications”
14:00 – 14:15 Marco Cominelli, ”Cognitive Dynamic Systems For Wireless Communications”
14:15 – 14:30 Stefano Della Fiore, ”New Bounds For Perfect k-Hashing”
14:30 – 14:45 Marcello Zanardelli, ”Image/Video Forgery Detection”
Curriculum in Physical Sciences for Engineering:
14:45 – 15:00 Hakimeh Pakdel, ”Fabrication and Characterization of Metal Oxide Semiconductors for Gas Sensors Application”
15:00 – 15:15 Stefano Migliorati, ” Data analysis and simulations for antimatter and hadronic experiments”
15:15 – 15:30 Ruwan J. D. N. Patabendi, ”Development of capacitive base gas detector”
15:30 – 15:45 Giovanni Costantini, ”Neural Network Application Within Antimatter Experiment Asacusa”
15:45 – 16:00 Giammarco Roini, ”Synthesis And Characterization Of Halide-perovskites For Nanophotonics”
16:00 – 16:15 Gayan C. K. Wadumesthree, ”Magnetics Nano-materials/Frameworks For Chemical Gas Sensing”
16:15 – 16:30 Coffee Break
Curriculum in Electronics Engineering, Sensors and Instrumentation:
16:30 – 16:45 Egit Musaev, ”Development of the data acquisition system for PEGS sensing the food spoilage”
16:45 – 17:00 Marco Zini, ”Development of electronic techniques for contactless sensing based on piezoelectric MEMS resonators”
Curriculum in Computer Science/Engineering and Control Systems:
17:00 – 17:15 Luigi Bonassi, ”Effective approaches for handling trajectory constraints in automated planning problems”
17:15 – 17:30 Mattia Chiari, ”A RNN approach for Goal Recognition”
17:30 – 17:45 Leonardo Lamanna, ”Artificial Intelligence And Machine Learning For Autonomous Agents”
17:45 – 18:00 Diego Lorenzi, ”Algorithms For Closed-loop Injection Control In Die-casting Machines”
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 2/18
PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
13:45 – 14:00, 25 November 2021
Curriculum in Telecommunication Engineering
Combinatorial Auctions and Nurse Routing
Problems for Home Healthcare Applications
My research activity concerns the study of an integrated Multi-Period
Combinatorial Auction (MPCA) and Nurse Routing Problem (NRP) to
better support hospital Home Healthcare decisions. The MPCA
allows to entrust part of the visits to external providers while the NRP
generates routes for hospital's nurses. The described problem is
further complicated by the presence of time windows and
consistency constraints which commit the hospital to ensure a high
QoS by limiting the number of nurses providing care to the same
patients.
In addition, we assess the effect of fairness in Healthcare measuring
Valentina the impact of patient-centric and nurse-centric measures in a Single-
BONOMI Period Multi-Visit NRP. We are interested in testing the effect on the
overall solution when the objective function is focused on patients
XXXVI Cycle and nurses well being rather than cost reduction.
For all problems, we provide MILP formulations and effective heuristic
and meta-heuristic procedures with the aim of finding high quality
feasible solutions.
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 3/18
PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
14:00 – 14:15, 25 November 2021
Curriculum in Telecommunication Engineering
Cognitive Dynamic Systems For Wireless
Communications
My research activity is focused on wireless systems that are aware of
the surrounding environment. In particular, I am interested in
evaluating the performance and the security of different positioning
techniques based on Bluetooth and Wi-Fi technologies. In addition, I
am working on accelerating Software-Defined Radio applications
Marco with GPU computing.
COMINELLI
XXXV Cycle
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 4/18
PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
14:15 – 14:30, 25 November 2021
Curriculum in Telecommunication Engineering
New Bounds For Perfect k-Hashing
My current research activity is focused on finding new improved
upper bounds on the cardinality of a set of vectors of length n over
an alphabet of size k, with the property that, for every subset of k
vectors there is a coordinate in which they all differ.
My research is mainly based on the work of Simone Costa and
Stefano Marco Dalai in which they found different new upper bounds for k=4,
DELLA FIORE 5, 6 (2017-2020).
The best known bounds for k > 6 (2018) are due to the work of
Venkatesan Guruswami, in which he improved the previous bounds
XXXV Cycle of Fredman and Komlós (1984).
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 5/18
PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
14:30 – 14:45, 25 November 2021
Curriculum in Telecommunication Engineering
Image/Video Forgery Detection
Our research activity is focused on the authenticity analysis of
images/video or, more in general, media content. In particular, we
want to develop efficient and robust methods for the detection of
malevolous alterations on media contents (ex. Deep-fake videos).
Marcello
ZANARDELLI
XXXV Cycle
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 6/18
PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
14:45 – 15:00, 25 November 2021
Curriculum in Physical Sciences for
Engineering
Fabrication and Characterization of Metal Oxide
Semiconductors for Gas Sensors Application
In today’s globalized world, it is increasingly essential that some
research attends issues related to air pollution due to the effect of
hazardous gases on human health. Hence, the metal oxide
nanostructures owing to high sensitivity and high reproducibility,
simple implantation, excellent response, good reliability, and low-
cost have been intensively studied in the last decade for the
manufacturing of monitoring and security systems. A desire to extend
Hakimeh my knowledge and enthusiasm to develop materials by controlling
their structure and morphology at the nanoscale level, motivated
PAKDEL me to pursue my project on the preparation and characterization of
nanostructured metal-oxide based for Chemical Sensors.
XXXVI Cycle
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 7/18
PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
15:00 – 15:15, 25 November 2021
Curriculum in Physical Sciences for
Engineering
Data analysis and simulations for antimatter and
hadronic experiments
My project consists in simulations and data analysis of experiments
involving antimatter measurements. In particular, I'm dedicated to
the realization of an upgrade of the simulation application of the
ASACUSA experiment with the Geant4 toolkit. This experiment
produces antihydrogen and we reconstruct the events from the
annihilation products. To do that, a detector, short-name DANTE
(Detector for ANnhiliation Tracking Experiments), was designed and
built in Brescia. My main goal is to implement this detector inside the
Stefano simulation program and extract the information we need to
MIGLIORATI reconstruct the events. Parallel to this, I am studying and realizing
simulations of antinucleon-nucleus reactions to calculate the elastic
scattering and annihilation cross-sections, which are useful to design
XXXVI Cycle new experiments with antimatter.
I also did an efficiency analysis of a Cherenkov detector (LTCC) at
JLAB.
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 8/18
PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
15:15 – 15:30, 25 November 2021
Curriculum in Physical Sciences for
Engineering
Development of capacitive base gas detector
There is a vast amount of gas detecting techniques used today and
researchers all over the world are working on this topic. However, not
enough attention is given to the capacitive type gas detectors
since the difficulty in detecting capacitance changes. Among the
reported capacitive type sensors, detection of gas based on a
change in dielectric layer thickness is the most promising. In this work,
we are planning to design and test a device to detect gases based
on capacitive sensing. In addition, we are researching on the
Dehigaspege development of capacitive type gas sensors using metal oxide
Nanayakkarawasam materials.
Patabendi
Ruwan JAYAKANTHA
XXXVI Cycle
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 9/18
PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
15:30 – 15:45, 25 November 2021
Curriculum in Physical Sciences for
Engineering
Neural Network Application For Improvements Of
Data Analysis Within Antimatter Experiment
Asacusa
Fundamental Physics group is one of the founders of ASACUSA
collaboration. The experiment deals with fine spectroscopic anti-
hydrogen measurements to investigate one of the deepest unsolved
questions of physics: the CPT violation. Antimatter experiments deal
with uncountable technical problems: from the production of the
needed antiparticles, to their detection and classification. This last
Giovanni step is of great interest for neural network applications. It involves
large data sets that allow strong machine training. Furthermore, the
COSTANTINI procedure for particle classification relies on data with a high grade
of complexity, fact that gives to neural network a great opportunity
XXXV Cycle of improving existing algorithms. My research carries forward the
application of this technology in the ASACUSA experiment
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 10/18PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
15:45 – 16:00, 25 November 2021
Curriculum in Physical Sciences for
Engineering
Synthesis And Characterization Of Halide-
perovskites For Nanophotonics
Fields such as photonics and sensors have greatly benefited from the
innovative push due to the creation of new materials.
In these areas, the most innovative devices arise from the use of a
class of semiconductors called Perovskite.
My PhD activity concerns the integration of inorganic perovskites in
photonic structures for applications in the sensor field. In particular,
we are studying the class of inorganic Perovskites CsPbX3 (X = Cl, I,
Br) which adapt to this type of application. The optimization of this
Giammarco type of materials passes from the search for the appropriate
ROINI combinations between substrate and perovskite film, also trying to
optimize the thickness and roughness of the films in view of sensor
applications.
XXXV Cycle
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 11/18PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
16:00 – 16:15, 25 November 2021
Curriculum in Physical Sciences for
Engineering
Magnetics Nano-materials/Frameworks For
Chemical Gas Sensing
This study is focused on growing and developing several magnetic
nano materials for possible gas sensing applications. To fill the gap of
finding low cost solutions for accurate measurements of magnetic
characteristics of the newly developed materials, the following goals
will be pursued:
01. Synthesis of Co, Fe, Ni based ZnO magnetics nanomaterials.
02. Carry out morphological, structural and magnetics
characterization of the grown materials.
Gayan 03. Fabricate nano magnetic gas sensors and study their
Chathuranga characteristics and performance.
Kumarage 04. Optimize device performance by optimizing the material
properties by changing the synthesis parameters.
WADUMESTHREE
XXXV Cycle
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 12/18PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
16:30 – 16:45, 25 November 2021
Curriculum in Electronics Engineering,
Sensors and Instrumentation
Development of the data acquisition system for
PEGS sensing the food spoilage
This project proposes the development of innovative smart
packaging, in which a paper-based gas sensor can monitor in real-
time the status of perishable food. Called paper-based electrical gas
sensors (PEGS), the sensors can detect gases such as trimethylamine
and ammonia, which signals spoilage in chicken and fish. Combined
with near-field communication (NFC) tags, the developed sensors
could replace traditional "use-by" expiration dates. During the first
year, the electronic data acquisition was developed for paper
Egit sensors, prototype of the NFC board, and a simulation model of the
MUSAEV sensor in MATLAB and Proteus. Also, it was conducted a set of
successful experiments with the fish fillets.
XXXVI Cycle
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 13/18PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
16:45 – 17:00, 25 November 2021
Curriculum in Electronics Engineering,
Sensors and Instrumentation
Development of electronic techniques for contactless
sensing based on piezoelectric MEMS resonators
A contactless interrogation technique and electronic system for
piezoelectric MEMS resonators based on time-gated excitation has been
studied. The proposed technique adopts an electronic interrogation unit
electromagnetically coupled through a readout coil to a sensor coil
directly connected to the MEMS resonator. An electronic circuit
manages the periodic switching between the excitation phase, where it
generates the excitation signal driving the readout coil, and the
detection phase, where it senses the transient decaying response of the
resonator. A TPoS (thin-film piezoelectric-on-silicon) MEMS resonator
Marco operating in contour-mode has been adopted as the reference device
ZINI for characterization. The developed system has been successfully tested
employing the MEMS resonator as a temperature sensor within the range
XXXVI Cycle of 20-60°C with contactless interrogation.
As a complementary activity, commercial radar sensors for industrial
applications have been studied and characterized to perform level
measurements in closed environments.
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 14/18PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
17:00 – 17:15, 25 November 2021
Curriculum in Computer Science/Engineering
and Control Systems
Effective approaches for handling trajectory
constraints in automated planning problems
Automated planning addresses the problem of synthesizing a plan
that reaches a set of goals. In real-world applications, a user may
need to formulate complex specifications on how to reach the goal,
intermediate objectives to achieve, and properties of the world to
be avoided. These specifications can be modeled by formulating
state trajectory constraints or action constraints. We define a new
formalism to express action constraints, while we focus on the PDDL3
language to formulate state trajectory constraints. We study how
Luigi planning problems with these types of constraints can be translated
BONASSI into classical planning problems that can be solved by any classical
planner. Experimental results show that our approach performs
better with respect to other state-of-the-art systems.
XXXVI Cycle
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 15/18PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
17:15 – 17:30, 25 November 2021
Curriculum in Computer Science/Engineering
and Control Systems
A RNN approach for Goal Recognition
My research activities focus on:
- APPLICATION OF MACHINE LEARNING TECHNIQUES FOR ESTIMATING
THE PROGNOSIS OF COVID-19 PATIENTS FROM SPEDALI CIVILI DI BRESCIA
Due to the outbreak of the Covid-19 pandemic, in the last year we
studied the application of machine learning techniques (Random
Forest, ExtraTrees, Boosting Algorithms, Feed-forward Neural Networks
and Recurrent Neural Networks) for estimating the prognosis and the
length of stay of Covid-19 patients who were hospitalized in Spedali Civili
di Brescia from February to May 2020.
- APPLICATION OF RECURRENT NEURAL NETWORKS FOR GOAL
RECOGNITION PROBLEMS
Mattia Goal recognition problems are usually solved by applying algorithms
CHIARI used in the automated planning domain. We studied this problem from
a new perspective by using Recurrent Neural Networks. We studied both
XXXVI Cycle the input formalisation (word2vec encoding, oneHot encoding,
embedding layer) and the network implementations (hyperparamenters
tuning, input dimension, loss functions). We also designed a new heuristic
called Uniqueness to enhance the network prediction.
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 16/18PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
17:30 – 17:45, 25 November 2021
Curriculum in Computer Science/Engineering
and Control Systems
Artificial Intelligence And Machine Learning For
Autonomous Agents
My major research activity focuses on the integration of acting,
learning and planning. The main objective is to build a system that is
capable to learn how to plan and act in a dynamic and complex
environment. On the learning side, I’m interested in developing
algorithms that allow an artificial agent to learn an abstract model
of the dynamics of the environment (e.g. an explicit model like a
deterministic finite state machine or a model description in a
language to express planning domains). In addition to learning the
Leonardo abstract model, I’m interested in learning probabilistic (generative)
LAMANNA models that connects the abstract model with the perceptions of
the artificial agents.
On the acting and planning side, the artificial agent decides how to
XXXV Cycle act by means of state-of-art planners (e.g. Fastforward). With its own
experience, it enriches the planner knowledge, as well as the
learned model of the environment.
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 17/18PhD program in Information Engineering
Dottorato di Ricerca in Ingegneria dell’Informazione (DRII)
17:45 – 18:00, 25 November 2021
Curriculum in Computer Science/Engineering
and Control Systems
Algorithms For Closed-loop Injection Control In
Die-casting Machines
Die- casting machines are well established instruments for the
industrial production of light alloy objects. Today’s challenges in die-
casting concern the continuous increase in the forces necessary to
machines for producing ever bigger objects with strict mechanical
properties, such as structural components for the automotive
industry.
The aim of my research is the development of a new algorithm for
the control of the die- casting process, which consists of the injection
Diego of molten metal following given speed and pressure pro[iles,
LORENZI exploiting a high-performance hydraulic system characterized by
some varying or partially known parameters, thus requiring some
degree of adaptation in the controller.
XXXV Cycle In this project I’m collaborating with IDRA, a leading die-casting
machine manufacturer.
DRII Seminar Day - November 25, 2021
Sala Consiliare – Via Branze, 38 - Brescia 18/18You can also read
