Bioengineering in the Industrial Informatics Lab http://www.en.poliba.it/research/industrial-informatics

Prof. Eng. Vitoantonio Bevilacqua, Ph.D.
Associate Professor, Scientific Coordinator

Vitoantonio Bevilacqua is Associate Professor of Electronic and Information Bioengineering at the Electrical and Information Engineering Department of Polytechnic University of Bari (DEI-POLIBA) where obtained the Laurea Degree in Electronic Engineering, the Ph.D. in Electrical Engineering and the Post-Doc in Industrial Informatics and is the Head of Industrial Informatics Lab. In March 2019, he got the National Scientific Habilitation (ASN) as Full Professor of Information Processing Systems. In May 2021, he got the ASN as Full Professor of Bioengineering (09/G2).


MAIN RESEARCH ACTIVITIES

Since 1996 he has been working and investigating in the field of computer vision and image processing, bioengineering, human-machine interaction based on machine learning and soft computing techniques (neural networks, evolutionary algorithms, hybrid expert systems, deep learning). The main applications of his research are in medicine, in biometry, in bioinformatics in ambient assisted living and industry. In July 2000 he was involved as Visiting Researcher in an EC funded TMR (Trans-Mobility of Researchers) network (ERB FMRX-CT97-0127) called CAMERA (CAd Modeling Environment from Range Images) and worked in Manchester (UK) at UK Robotics Ltd, in the field of geometric feature extraction and 3D objects reconstruction. He published more than 190 international papers and chaired several sessions such as Speech Recognition, Biomedical Informatics, Intelligent Image Processing and Bioinformatics in international conferences. In July 2011, he was invited as lecturer at International School on Medical Imaging using Bioinspired and Soft Computing-Miere (Spain) MIBISOC FP7-PEOPLE-ITN-2008. GA N. 238819— where presented his research on Intelligent Tumors Computer Aided Early Diagnosis and Therapy: Neural Network and Genetic Algorithms frameworks.

In March 2019 he founded Apulian Bioengineering srl, a start-up and spin-off company of Polytechnic University of Bari and is currently its Chief Executive Officer.

In September 2019 he joined the BioRobotics Institute of Scuola Superiore Sant’Anna di Pisa as Affiliate Professor.


RECENT DIDACTIC ACTIVITIES

Medical Image Processing, Advanced Bioinformatics,  Systems for Rehabilitation and Assisted Therapy, Bioinformatics and Big Data Analytics, Human Machine Interaction, Medical Informatics, Expert Systems, C/C++ Programming, Algorithms and Data Structure in Java at DEI-POLIBA and Bioengineering: Analysis of Movement, Bioengineering and Information for Rehabilitation at School of Medicine – University of Bari.


For a complete list of publications: Scopus, PubMed and Google Scholar.

Prof. Eng. Stefano Mazzoleni, PhD
Assistant Professor

Stefano Mazzoleni is Assistant Professor in Electronic and Information Bioengineering at the Department of Electrical and Information Engineering of Polytechnic University of Bari (DEI-POLIBA). He received the University degree (Laurea) in Computer Engineering from the University of Pisa (Italy) in 2002 and the Ph.D. in Biomedical Engineering from the University of Genoa (Italy) in 2007. In 2005 he received the “Student Travel Award” at the IEEE 9th International Conference on Rehabilitation Robotics in Chicago, USA. From May 2015 to March 2020 he was Assistant Professor at the BioRobotics Institute of Scuola Superiore Sant’Anna (Pisa, Italy). He was head of the joint “Rehabilitation Bioengineering Laboratory” between Scuola Superiore Sant’Anna and “Auxilium Vitae” Rehabilitation Centre in Volterra (Italy) from January 2011 to March 2020.


MAIN RESEARCH ACTIVITIES

His research interests include rehabilitation robotics, bioengineering, human-machine interfaces, motor control, motor recovery, human-robot interaction, ICT systems for telerehabilitation and telemonitoring applications. He is author of more than 100 scientific publications in peer-reviewed journals and international conferences. He is member of several Editorial Boards of international scientific journals in the fields of robotics, bioengineering and automation.

He is member of the IEEE Robotics and Automation Society (IEEE RAS), IEEE Engineering in Medicine and Biology Society (EMBS), IEEE Brain Community and Italian Robotics NeuroRehabilitation Group (IRNRG). He is member of research group in Neurobioethics coordinated by the Ateneo Pontificio Regina Apostolorum in Rome, Italy.


TEACHING ACTIVITIES

Bioinformatics and Big Data Analytics, Rehabilitation Robotics, Robot Companions for Assisted Living, Human Robot Interaction, Rehabilitation Bioengineering.


For a complete list of publications: Scopus and Google Scholar.

Eng. Antonio Brunetti, PhD
Post-Doc Researcher

Antonio Brunetti is a Post-Doc Researcher in Electronic and Information Bioengineering at the Department of Electrical and Information Engineering of Polytechnic University of Bari. He received the Bachelor Degree in Computer Science and Automation Engineering, and the Master Degree (cum laude) in Computer Science Engineering at the Polytechnic University of Bari. His final dissertation in Human-Computer Interaction concerned the design and implementation of an intelligent system able to adapt the living environment of subjects with mild cognitive impairment based on the cognitive event-related potential on the EEG signal.

In 2020, he received the Ph.D. degree in Electrical and Information Engineering at the Doctoral School of the Polytechnic University of Bari. His Ph.D. thesis, under the supervision of Prof. Vitoantonio Bevilacqua, dealt with Intelligent Frameworks for Diagnosis in the Precision Medicine Era.

In 2016, he worked as Research Fellow at the Polytechnic University of Bari working on GCESYS – “Green Community Efficiency Systems” project dealing with optimization algorithms applied to energy consumptions scheduling in smart buildings with systems supplied by mixed traditional and renewable sources.


PROFESSIONAL EXPERIENCE

Some of his professional experience includes several collaborations at the Department of Electrical and Information Engineering (DEI) of the Polytechnic University of Bari where he worked on the design and development of intelligent algorithms for image and signal processing, working on different research projects, such as RESCAP – “Residual Capabilities” (LINK), and PRE.C.I.O.U.S. – “PREdictive Computer aIded scOring sUpport System” (LINK) and Recall (LINK).

He also had several collaborations on contracts from external companies, such as PRE.MED – “PREdictive MEDicine” project, where he has to design and develop an operating environment for the extraction and processing of morphological features of patients affected by Autosomal Dominant Polycystic Kidney Disease (ADPKD) and to validate the diagnostic classification framework (LINK), or COMAU Robot Company.

On March 2019 he founded Apulian Bioengineering srl, a spin-off of Polytechnic of Bari, as shareholder.


TEACHING ACTIVITIES

He teaches Healthcare Information Systems for the Master’s Degree in Medical Systems Engineering at the Polytechnic University of Bari (from a. y. 2019/2020 to date) and Electronic and Information Bioengineering for the Bachelor’s Degrees in Audiometric Techniques, Audioprosthetic Techniques, Neurophysiopathology Techniques (from a. y. 2019/2020 to date) and Cardiocirculatory and Cardiovascular Perfusion Techniques (a. y. 2019/2020) at the Medical School of the University of Bari.


For a complete list of publications: Scopus, PubMed and Google Scholar.

Eng. Domenico Buongiorno, PhD
Post-Doc Researcher

Domenico Buongiorno is a Post-Doc Researcher in Electronic and Information Bioengineering at the Department of Electrical and Information Engineering of Polytechnic University of Bari. He received the B.Sc. and M.Sc. (cum laude) degrees in automation and control theory engineering from Politecnico di Bari, Bari, Italy, in 2011 and 2014, respectively. His bachelor and master theses, both supervised by the Prof. Vitoantonio Bevilacqua, concerned machine learning-based optimization techniques for energy consumption optimization and human neuromusculoskeletal modeling, respectively.

In 2017, he received the Ph.D. degree in Emerging Digital Technologies from Scuola Superiore Sant’Anna, Pisa, Italy (PERCeptual RObotics laboratory – PERCRO). His PhD thesis concerns the control of robotic interfaces for interaction with virtual environments, robot-aided neurorehabilitation (EMG based control – Myocontrol) and bilateral multi-DoF teleoperation in disaster scenario. In 2017, he has been a visiting PhD Student at the Biorobotics Laboratory, UCI Irvine, California, under the sypervision of the Prof. David Reinkensmeyer.
He is currently working on the research projects SOS and RoboVir, and on two industrial projects in collaboration with COMAU Robot Company.
His research interests include human-machine and human-robot interaction, assistive technologies, muscle synergy analysis and myocontrol for neuro-rehabilitation.

In March 2019, he founded Apulian Bioengineering srl, a spin-off company of the Polytechnic University of Bari.


TEACHING ACTIVITIES

He teaches Computer Science at the Polytechnic University of Bari (a.y. 2017/2018 and 2018/2019) and Electronic and Information Bioengineering at the Medical School of the University of Bari (a.y. 2018/2019).


For a complete list of publications: Scopus, PubMed and Google Scholar.

Eng. Giacomo Donato Cascarano, PhD

Giacomo Donato Cascarano received the B.Sc. and M.Sc. (cum laude) degrees computer in engineering from Politecnico di Bari, Bari, Italy, in 2014 and 2017, respectively. His bachelor and master theses concerned the development of Human Computer Interaction device based on low-cost hardware and image processing algorithms and machine learning-based techniques for biomedical data processing, respectively. Both were supervised by Prof. Vitoantonio Bevilacqua.

On March 2019 he founded Apulian Bioengineering srl, a spin-off of Polytechnic of Bari, as shareholder.

On March 2021, he got Ph.D. in Electrical and Information Engineering at the Politecnico di Bari, Bari. His main research interests include multivariate signal and data processing, machine learning and biomedical data analysis.


For a complete list of publications: SCOPUS, PubMed and Google Scholar.

Eng. Irio De Feudis
PhD Student in Electrical and Information Engineering

Irio De Feudis received the Bachelor Degree in Computer Science and Automation Engineering, and the Master Degree (cum laude) in Computer Science Engineering at the Polytechnic University of Bari. His final dissertation in Human-Computer Interaction concerned the design and development of a framework for automated bin picking in industry.

In 2016, he worked as collaborator at the Polytechnic University of Bari on GCESYS – “Green Community Efficiency Systems” project, with a task concerning the design of a domestic platform for energy consumptions scheduling in a system supplied by traditional and renewable sources.

In 2017, he worked as collaborator at the Polytechnic University of Bari on PRE.C.I.O.U.S. – “PREdictive Computer aIded scoring sUpport System” project working on the design and development of interfaces for the interoperability of medical devices with web applications.

In 2018, he worked as collaborator at the Polytechnic University of Bari on GCESYS – “Green Community Efficiency Systems” project, designing and developing optimization algorithms for energy consumption scheduling on a domestic platform.

He is currently a Ph.D. Student in Electrical and Information Engineering at the Industrial Informatics Laboratory, DEI, Politecnico di Bari, Bari. His main research interests include Smart technologies enabling ergonomic and usable human-machine interaction and computer vision solutions for automation and industrial bioengineering.

On March 2019 he founded Apulian Bioengineering srl, a spin-off of Polytechnic of Bari, as shareholder.


For a complete list of publications: SCOPUS, PubMed and Google Scholar.

Eng. Nicola Altini
PhD Student in Electrical and Information Engineering

Nicola Altini received the B.Sc. degree (cum laude) in Computer Science and Automation Engineering and the M.Sc. degree (cum laude) in Computer Engineering from Politecnico di Bari, Bari, Italy, in 2017 and 2019, respectively. His master’s thesis concerned the development of Image Processing and Computer Vision algorithms with Deep Learning techniques for a Medical Image Analysis task, under the supervision of Prof. Francescomaria Marino and Prof. Vitoantonio Bevilacqua.

Since November 2019, he is a Ph.D. Student in Electrical and Information Engineering at the Industrial Informatics Laboratory, DEI, Politecnico di Bari, Bari. His main research interests include Medical Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks and Evolutionary Computation.

In the period December 2019 – July 2020, he also worked as research assistant at the Polytechnic University of Bari on SOS – “Smart Operating Shelter” project.

In 2021, he was a contract worker at the Polytechnic University of Bari on the research project CT_MASMEC_ARONA, where he analyzed algorithms for segmentation and automatic recognition of vertebrae from Computed Tomography scans.

He has worked as Teaching Assistant at the Polytechnic University of Bari for the course “Bioinformatics and Big Data Analytics”, 6 ECTS, Bachelor’s Degree in Medical Systems in 2020 and for the course “Sistemi per la riabilitazione e la terapia assistita”, 6 ECTS, Master’s Degree in Medical Systems Engineering in 2021.

In September 2020 he received the Master’s Thesis Award “Nearlab” 2020, Politecnico di Milano, during the XXXIX School from Italian National Bioengineering Group (September 6-10, 2020, Bressanone), for his master thesis “Design and Implementation of a Deep Learning-Based Computer-Aided Diagnosis System for Global Glomerulosclerosis Assessment in Kidney Biopsies”.

In September 2020 he was also the Team Leader of the Winning Team in the Datathon organized during the XXXIX School from Italian National Bioengineering Group (September 6-10, 2020, Bressanone).


For a complete list of publications: SCOPUS and Google Scholar.

Eng. Berardino Prencipe
PhD Student in Electrical and Information Engineering

Berardino Prencipe received the B.Sc. degree in Computer Science and Automation Engineering and the M.Sc. degree (cum laude) in Computer Engineering from Politecnico di Bari, Bari, Italy, in 2017 and 2020, respectively. His master’s thesis concerned the adoption of Deep Learning techniques for Liver Parenchyma, Vessels and Segments delineation from CT scans, under the supervision of Prof. Andrea Guerriero and Prof. Vitoantonio Bevilacqua. 

Since November 2020, he is a Ph.D. Student in Electrical and Information Engineering at the Industrial Informatics Laboratory, DEI, Politecnico di Bari, Bari. His main research interests include Medical Imaging, Deep Learning and Bioinformatics.


For a complete list of publications: SCOPUS and Google Scholar.

Dr. Sardar Mehboob Hussain
PhD Student in Electrical and Information Engineering

Mr. Mehboob received his bachelor’s and master’s degrees both in Computer Science from The University of AJK and COMSATS University Islamabad, Pakistan in 2015 and 2017, respectively. He has authored and coauthored over 10 international publications.

Mr. Mehboob has also served as a Lecturer in the Department of Computer Science and Information Technology at The University of Lahore, Pakistan. Prior to this, he has also worked as research assistant at ComSens Lab in COMSATS.

Currently, Mr. Mehboob is a full time PhD student in Electrical and Information Engineering at Politecnico di Bari, Bari, Italy since November 2019. His research interests include Deep Learning, Computer Vision, Biomedical Engineering and Robotic Surgery.


Please refer for his Google Scholar profile for further.

Dr. Elena Sibilano
PhD Student in Electrical and Information Engineering

Elena Sibilano received the B.Sc. degree (cum laude) in 2019 and the M.Sc. degree (cum laude) in 2021 in Medical Systems Engineering from Politecnico di Bari, Bari, Italy. Her master’s thesis focused on the development of Deep Learning algorithms to classify EEG signals for early diagnosis of Alzheimer’s disease. The work was supervised by Prof. Vitoantonio Bevilacqua, Prof. Antonio Brunetti and Prof. Alberto Mazzoni from the BioRobotics Institute at Scuola Superiore Sant’Anna, Pisa. 

Since November 2021, she is a Ph.D. Student in Electrical and Information Engineering at the Industrial Informatics Laboratory, DEI, Politecnico di Bari, Bari. Her main research interests include neurodegenerative diseases, Deep Learning and Medical Imaging.


For a complete list of publications: SCOPUS.

Dr. Vladimiro Suglia
PhD Student in Electrical and Information Engineering

Vladimiro Suglia received the B.Sc. degree in Computer Science and Automation Engineering and the M.Sc. degree in Automation Engineering from Politecnico di Bari (both cum laude), Bari, Italy, in 2018 and 2021, respectively. His master’s thesis concerned the implementation of an EMG-based motion-intent recognition algorithm for gait-mode classification, under the supervision of Prof. David Naso and Prof.ssa Loredana Zollo.

Since November 2021, he is a Ph.D. Student in Electrical and Information Engineering at the Industrial Laboratory, DEI, Politecnico di Bari, Bari. His main research interests include human-robot interaction, assistive and rehabilitative robotics and Machine Learning.

Dr. Francesco Berloco
PhD Student in Electrical and Information Engineering

Francesco Berloco received the B.Sc. degree in Computer Science and Automation Engineering and the M.Sc. degree (cum laude) in Computer Engineering from Polytechnic University of Bari, Bari, Italy, in 2018 and 2021, respectively. His master’s thesis concerned the analysis and the development of a Big Data Processing Pipeline for logistics processes under the supervision of Prof. Simona Colucci and Eng. Enrico Fais.

In 2020, he worked as graduate research fellow at the Lab IoT 4.0 at Polytechnic University of Bari, in collaboration with ISIRES and Elettric80 – “Software Architecture to support IoT Systems for the integrated logistic” project, studying and analysing the information system of Elettric80 to re-engineer it and developing a Machine Learning pipeline using Apache Spark in order to process the big data generated by logistic processes.

Since November 2021, he is a Ph.D. Student in Electrical and Information Engineering at the Industrial Informatics Laboratory, DEI, Polytechnic University of Bari, Bari. His main research interests include Big Data Analysis, Deep Learning and Bioinformatics.

Con il Laboratorio di Informatica Industriale collaborano anche:

Prof. Eng. Leonarda Carnimeo
Associate Professor

Leonarda Carnimeo is Professor at the Engineering Faculty of the Politecnico di Bari, Bari, Italy. Since 1988 her scientific activity has dealt with various aspects in the field of Circuit Theory and Applications. In particular, her research interests concern with various aspects of analysis and decoupling of electric networks of large size, stability analysis of continuous-time and discrete-time cellular neural networks, associative memories design, synchronization of chaotic circuits with applications to secure communications. Her interests deal with various research activities aiming at the development of new techniques for the design of Sparsely-connected NN-based associative memories with application to artificial vision systems. At present, she is Responsible of the PRIN project:”Synthesis of a cellular neural system and development of innovative techniques for a real-time ophthalmic image processing as a support in retinal pathology diagnostics and laser therapy”. She was previously involved in various PRIN projects in the field of neural/nonlinear circuits. Her scientific work is proved by several scientific contributions published on international reviews and proceedings.

Scientific Research

Prof. Eng. Andrea Guerriero
Associate Professor

Andrea Guerriero, born in Padua on 7/8/1962, obtained the Laurea Degree in Electronics Engineering at the University of Bari on June 16, 1989, discussing a thesis titled “Assessments on Multiprocessor Architectures for SAR data processing”. In November 1990 he passed the qualification exams for the profession of engineer. From January 1990 to January 1991 he has been fellow researcherer at INFM as part of research programs on special computer architectures and related algorithms at the Department of Electrotechnics and Electronics at the University of Bari.
In 1990 he participated in the competition for a researcher at the University of Bari for the I250 discipline group, resulting as winner. He has been working at the University of Bari’s Faculty of Engineering from November 1, 1991, at the Politecnico di Bari since May 10, 1991, and later opted for the Department of Electrotechnics and Electronics (DEE). In December 2004, he was the winner of a public competition for the 1st place of Associate Professor (disciplinary field ING-INF/05) currently in service at the Faculty of Engineering of the Politecnico di Bari.

Scientific Research

Prof. Eng. Pietro Guccione
Associate Professor

Pietro Guccione is Assistant Professor at the Electrical and Information Engineering Department of Politecnico di Bari, Italy, since 1999.In the same University he achieved the master degree in Electronic Engineering in 1996 defending a thesis in signal processing of synthetic aperture radar. He qualified to the examination to engineers register in 1997; in 2000 he graduated PhD in Electronic Engineering with a thesis on radar interferometry. Since 1999 his interests concerned synthetic aperture radar processing and interferometry; he designed, developed and implemented systems and algorithms for advanced processing, in the framework of international cooperations; he was involved in projects concerning ERS (European Remote Sensing Satellite), ENVISAT (Environment Satellite), Cryosat, SARAT, Sentinel-1, Cosmo SkyMed and BIOMASS with European Space Agency, Italian Space Agency and other national spatial agencies and international companies.
His interests have touched: radar design, SAR simulation, focusing, interferometric processing, calibration, on-board processing and data compression for Earth Observation sensors, modelling of C- and X-band SAR images. Other research interests concern(ed): multivariate statistical techniques on sensor networks data, Information Theory, biomedical processing and image processing, watermarking, speech signal processing and functional Magnetic Resonance Images, analysis of protein sequences, X-ray diffracted spectra.

Scientific Research

Eng. Nicola Longo

Nicola Longo graduated with full marks in Control Engineering at Electronic and information Department of Polythecnic of Bari.
During this period he spent 8 months in the NYU Tandon School of Engineering where, under the supervision of professors Rizzo A.and M. Porfiri, he carried out researches in multi-agent formation control.
After a period of two years as Vision System engineer in Mermec S.p.a. he moved to Turin where he started working as Technical Leader for Comau S.p.a.
His specialization concerns industrial vision systems, robotics and Industry 4.0.

On March 2019 he founded Apulian Bioengineering srl, a spin-off of Polytechnic of Bari, as shareholder.

Dr. Simona De Summa
Simona De Summa is a molecular biology, whose Bachelor and Master’s Degree were obtained at the University of Study of Parma, respectively in 2003 and 2009. For her Master’s degree worked on a project for thesis regarding the study of gene expression profiling through microarray in prostate cancer cell lines. This was her first contact with high-throughput data and in 2014, after a two-year high specialization course at University of Study of Pavia, she started to work as bioinformatician in IRCC-Istituto Tumori “Giovanni Paolo II”. She is the institutional referent for the working group “ACC-Bioinformatics” for projects related to Alleanza Contro il Cancro, a national network including IRCCS institutes. Her work is specifically dedicated to the analysis of genomic, transcriptomic and epigenomic data coming from next-generation sequencing platforms, as demonstrated by her publication record. Shortly, she is involved in projects in the field of “Precision Medicine”, whose main aims are the integration of multi-level genomic data to improve diagnosis and prognosis of malignancies as melanoma, breast cancer and onco-hematological diseases. Moreover, in the Molecular Diagnostics and Pharmacogenetics Unit (directed by Dr. Stefania Tommasi), she is also involved in clinical bioinformatics, a field related to the setting up of reliable pipelines for molecular diagnostics, from raw data to the clinical report. Indeed, the build-up of a user-friendly annotation tool of alterations in genes related to hereditary/familial cancer syndromes is currently ongoing. For a complete list of publications: SCOPUSPubMed and Google Scholar.
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Dr. Fabio Stroppa
Fabio Stroppa (Eng., Ph.D.) is a researcher in the area of Human-Machine Interaction. He received the B.S. and M.S. degrees in Computer Science Engineering from Polytechnic University of Bari, Bari, Italy, in 2011 and 2013, respectively, and the Ph.D. in Perceptual Robotics from Scuola Superiore Sant’Anna, Pisa, Italy in 2018. He received postdoc training at CHARM Lab, Stanford University, California, USA from 2019 to 2021. He is currently an Assistant Professor in the Department of Computer Engineering at Kadir Has University, Turkey. His publications and main research interests deal with computer vision for control purposes of robotic devices, robotic-based neurorehabilitation, bioinformatics, virtual reality, search and optimization methods, and artificial intelligence. For a complete list of publications: SCOPUSPubMed and Google Scholar.
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Dr. Mine Saraç
Mine Saraç (Eng., Ph.D.) is an Assistant Professor in Mechatronics Engineering at Kadir Has University in Istanbul, Turkey. She has completed her Bachelor degree in Electrical and Electronics Engineering at Yeditepe University (2011, Istanbul, Turkey), MSc degree Mechatronics at Sabancı University (2013, Istanbul, Turkey), and Ph.D. degree in Perceptual Robotics at Scuola Superiore Sant’Anna (2017, Pisa, Italy). During her Ph.D., she joined Multimodal Simulation Lab at Universidad Rey Juan Carlos as a visiting researcher (2016, Madrid, Spain). After receiving her Ph.D. degree, she has worked as a postdoctoral researcher in Perceptual Robotics at Scuola Superiore Sant’Anna (2017-2018, Pisa, Italy) and Mechanical Engineering at Stanford University (2019-2021, Stanford, USA). In 2017, she has received the Best Student Paper award at IEEE World Haptics Conference with one of her international conference articles “Proxy-based haptic rendering for underactuated haptic devices”. Her main research interests are human-machine interaction, haptics, robotics, rehabilitation robots, and haptic-assisted virtual interactions. For a complete list of publications: SCOPUSPubMed and Google Scholar.