Curriculum vitae et studiorum

Updated: Friday, October 22, 2021
Academic Curriculum (ITA) (PDF)

Personal information

Name: Angelo
Surname: Genovese
Birthdate: February 19, 1985
Email: angelo.genovese@unimi.it
Web: www.di.unimi.it/genovese

Contents

1. Short biography
2. Teaching and support activities
3. Education and research activities in national and international institutes
4. National and international research projects
5. Participation in national and international research groups
6. Participation as a speaker in international conferences
7. Awards for the research activities
8. Professional and service activities
9. Research activity
10. Publications

1. Short biography

1.1. Current position

Assistant Professor (tenure track: RTD-B)
Università degli Studi di Milano
Department of Computer Science

1.2. Education

  • March 2014
    Ph.D. in Computer Science (XXVI group) at the Università degli Studi di Milano, Italy.
    Thesis title: "Contactless and less-constrained palmprint recognition".
    Supervisor: Prof. V. Piuri.
    Co-supervisor: Prof. F. Scotti.

  • June 2010
    M.Sc. Degree in Computer Science and Information Technology from the Università degli Studi di Milano.
    Thesis title: "Three-dimensional processing of contactless fingerprints (in Italian)".
    Advisor: Prof. F. Scotti.

  • October 2007
    B.Sc. Degree in Computer Science from the Università degli Studi di Milano.
    Thesis title: "Analysis and design of a sensing circuit for Rad-Hard memories (in Italian)".
    Advisor: Prof. V. Liberali.

  • July 2004
    Scientific high school diploma from the Liceo Scientifico Leonardo da Vinci, Crema, Italy.

1.3. Employment history

  • Assistant Professor (tenure track: RTD-B) at the Università degli Studi di Milano, Italy, Department of Computer Science (July 1, 2019 – Present).

  • Abilitazione Scientifica Nazionale (ASN) in Computer Science, for the sector 01/B1 - Informatica (scientific sector INF/01 - Informatica), II fascia (August 7, 2018 – August 7, 2024).

  • Postdoctoral Research Fellow (type A research grant) in the research program: "Advanced methods for less-constrained highly-usable biometric recognition in security applications", at the Università degli Studi di Milano, Italy, Department of Computer Science (August 1, 2016 – June 30, 2019).

  • Postdoctoral Research Fellow (type B research grant) in the research program: "Analysis of the functional characteristics of adaptive and less-constrained biometric systems", with funding in the research project PRIN 2010/2011 – GenData 2020, at the Università degli Studi di Milano, Italy, Department of Computer Science (January 1, 2015 – July 31, 2016).

  • Postdoctoral Research Fellow (type B research grant) in the research program: "Analysis of the functional characteristics of adaptive and less-constrained biometric systems", with funding in the research project PRIN 2010/2011 – GenData 2020, at the Università degli Studi di Milano, Italy, Department of Computer Science (January 1, 2014 – December 31, 2014).

  • Ph.D. student in Computer Science (XXVI group) at the Università degli Studi di Milano, with three-year scholarship (January 1, 2011 – December 31, 2013).

  • Scholarship in the research project: "Computational intelligence techniques for environmental and infrastructure monitoring", at the Università degli Studi di Milano (September 1, 2010 – December 31, 2010).

2. Teaching and support activities

2.1. Teaching activities for Ph.D. programs

Teacher for the following courses at the Università degli Studi di Milano:

  • Deep Learning for Signal and Image Processing (course held in English), within the Ph.D. program in Computer Science, at the Università degli Studi di Milano (full 10-hour course) (A.Y. 2020/2021).

Teacher for the following courses at the Università degli Studi di Bergamo:

  • Biometric Systems (course held in English), within the Ph.D. program in Applied Science Engineering, at the Università degli Studi di Bergamo (full 10-hour course) (March 2018).

Co-supervisor of the following Ph.D. students, withing the Ph.D. program in Computer Science, at the Università degli Studi di Milano:

  • Mohanad Abukmeil, "Unsupervised generative models for data analysis and explainable artificial intelligence (XAI)", March 2019 – February 2022 (XXXIV group);

  • Abhinav Anand, "Biometric technologies for ambient intelligence", March 2015 – February 2018 (XXX group), date of dicussion: February 2018.

Reviewer of the theses of the following Ph.D. students:

  • Enrico Bacis, "Protecting resources and regulating access in centralized and decentralized cloud systems", Ph.D. course in Applied Science Engineering, Università degli Studi di Bergamo, November 2019 (XXXII group);

  • Angelo Gaeta, "Supporting the intelligence analysis stages with approximate reasoning: Methods and tools based on granular computing", Ph.D. course in Management and Information Technology, Università degli Studi di Salerno, November 2019 (XXXII group).

2.2. Teaching activities for undergraduate and graduate courses

Teacher for the following courses, at the Università degli Studi di Milano, Department of Computer Science:

A.Y. 2020/2021
  • Operating Systems Laboratory (Laboratorio di Sistemi Operativi), Degree courses in Computer Science (48 hours).

  • Operating Systems I (Sistemi Operativi I), Degree courses in Computer Science (on-line edition) (4 hours).

A.Y. 2019/2020
  • Operating Systems Laboratory (Laboratorio di Sistemi Operativi), Degree courses in Computer Science (48 hours).

Teacher for the following courses, at the Università degli Studi di Milano, Department of Mathematics:

A.Y. 2019/2020
  • Programming 1 Laboratory (Laboratorio di Programmazione 1), Degree courses in Mathematics (12 hours).

Teacher for the following courses, at the Università degli Studi di Milano, Department of Pharmaceutical Sciences:

A.Y. 2018/2019
  • Computer Skills (Abilità Informatiche), Degree course in Pharmaceutical Chemistry and Technology (3 CFU).

A.Y. 2017/2018
  • Computer Skills (Abilità Informatiche), Degree course in Pharmaceutical Chemistry and Technology (3 CFU).

2.3. Support to teaching activities

Support to teaching activities for the following courses, at the Università degli Studi di Milano (Art. 45 of the Regolamento Generale di Ateneo, ex-Art. 47 of the Regolamento Generale di Ateneo):

A.Y. 2018/2019
  • Intelligent Systems (Sistemi Intelligenti), M.Sc. Degree course in Computer Science (30 hours);

  • Database Laboratory (Laboratorio di Basi di Dati), Degree course in Computer Science and Systems and Network Security (40 hours).

A.Y. 2017/2018
  • Database Laboratory (Laboratorio di Basi di Dati), Degree course in Computer Science and Systems and Network Security (40 hours);

  • Operating Systems I (Sistemi Operativi I), Degree course in Computer Science and Systems and Network Security (20 hours).

A.Y. 2016/2017
  • Intelligent Systems (Sistemi Intelligenti), M.Sc. Degree course in Computer Science (25 hours).

A.Y. 2015/2016
  • Operating Systems I (Sistemi Operativi I), Degree course in Computer Science and Systems and Network Security (20 hours).

A.Y. 2013/2014
  • Operating Systems I and Operating Systems II (Sistemi Operativi I e Sistemi Operativi II), Degree course in Computer Science and Systems and Network Security (20 hours).

A.Y. 2012/2013
  • Operating Systems II (Sistemi Operativi II), Degree course in Computer Science and Systems and Network Security (10 hours).

Support to exams for the following courses, at the Università degli Studi di Milano (Art. 45 of the Regolamento Generale di Ateneo, ex-Art. 47 of the Regolamento Generale di Ateneo):

A.Y. 2017/2018
  • Operating Systems I (Sistemi Operativi I), Degree course in Computer Science and Systems and Network Security (10 hours).

A.Y. 2015/2016
  • Operating Systems I (Sistemi Operativi I), Degree course in Computer Science and Systems and Network Security (10 hours);

  • Operating Systems I and Operating Systems II (Sistemi Operativi I e Sistemi Operativi II), Degree course in Computer Science and Systems and Network Security (on-line edition) (20 hours).

A.Y. 2013/2014
  • Operating Systems I and Operating Systems II (Sistemi Operativi I e Sistemi Operativi II), Degree course in Computer Science and Systems and Network Security (15 hours).

A.Y. 2012/2013
  • Operating Systems I and Operating Systems II (Sistemi Operativi I e Sistemi Operativi II), Degree course in Computer Science and Systems and Network Security (20 hours).

Teaching tutor for the following courses, at the Università degli Studi di Milano (Art. 45 of the Regolamento Generale di Ateneo, ex-Art. 47 of the Regolamento Generale di Ateneo):

A.Y. 2018/2019
  • Operating Systems I and Operating Systems II (Sistemi Operativi I e Sistemi Operativi II), Degree course in Computer Science and Systems and Network Security (on-line edition) (30 hours).

A.Y. 2017/2018
  • Operating Systems I and Operating Systems II (Sistemi Operativi I e Sistemi Operativi II), Degree course in Computer Science and Systems and Network Security (on-line edition) (30 hours).

A.Y. 2016/2017
  • Operating Systems I and Operating Systems II (Sistemi Operativi I e Sistemi Operativi II), Degree course in Computer Science and Systems and Network Security (on-line edition) (30 hours).

A.Y. 2015/2016
  • Operating Systems I and Operating Systems II (Sistemi Operativi I e Sistemi Operativi II), Degree course in Computer Science and Systems and Network Security (on-line edition) (40 hours).

See also the Teaching page.

2.4. Theses co-supervision

Advisor of the following B.Sc. theses at the Università degli Studi di Milano, Department of Computer Science:
  • I. Fumagalli, "Development of a conversational interface in a business intelligence software", 2020.

Co-supervisor of the following M.Sc. theses at the Università degli Studi di Milano, Department of Computer Science:
  • S. Mena, "Image processing based on Deep Learning for car marketing applications", 2020;

  • M. Pirazzini, "Software systems for efficiently managing an integrated industrial productive process", 2020;

  • D. Zhankulov, "Algorithmic and software providing solutions of partial differential operators with singularities", 2019;

  • G. Nurgaliyeva, "Simulation modeling of water level in canals for decision making in emergency situations", 2019;

  • A. Baibussinov, "Software development for criminalistics research of register of the operating system windows", 2019;

  • K. Amirzhan, "Development of software for centralized management of CHP plants", 2019.

Co-supervisor of the following B.Sc. theses at the Università degli Studi di Milano, Department of Computer Science:
  • C. Governale, "Analisi e confronto di sistemi operativi real-time", 2021;

  • M. Tedoldi, "Security in virtual environments", 2020;

  • G. Galliani, "Cloud computing: resource allocation algorithms", 2020;

  • L. Mattarucchi, "Computer science technologies for smart cities", 2020;

  • L. Tombini, "Security in cloud computing", 2019;

  • M. Flagello, "Cloud storage", 2019;

  • R. Gistaro, "Biometrics in e-commerce", 2019;

  • V. Dinapoli, "Multibiometric detection based on face and palmprint", 2019;

  • D. Marcosano, "Biometric systems for ambient intelligence: features and applications", 2019;

  • M. Luciano, "Biometric sensors in mobile devices: applications and vulnerabilities", 2018;

  • M. De Lorenzis, "Information fusion in multi-modal biometric systems", 2017;

  • L. Graziani, "Privacy protection techniques in cloud computing", 2017;

  • L. Polenghi, "Gait recognition: methodologies and applications for biometric recognition", 2017;

  • L. Festa, "Embedded systems for real-time applications", 2017;

  • G. Robecchi, "Neural Networks for intrusion detection", 2017;

  • M. Cademartori, "Biometric recognition based on palm vein", 2017;

  • M. Dal Degan, "Penetration test: methodologies and analysis of a case study", 2016;

  • E. Rizzi, "State of the art and applications for online biometric authentication by using mobile devices", 2013;

  • M. Cerbini, "Computer science aspects in the capturing and processing of fingerprints in forensic applications", 2013;

  • P. Bonizzoni, "Methods of stereoscopic analysis for the three-dimensional reconstruction of fingerprints", 2012;

  • D. Pedone, "Three-dimensional reconstruction of fingerprints captured using structured light", 2012;

  • C. Leani, "Computational intelligence techniques for fire detection in frame sequences", 2011.

The theses mainly focused on innovative analysis methodologies and original algorithms for the intelligent processing of signals and images, with specific attention to environmental and industrial monitoring, network communication, ambient intelligence, and biometric identification.
In the environmental and industrial monitoring field, the theses mainly focused on new artificial intelligence methods for detecting wildfire from frame sequences, for modeling emergency situations caused by water level, and for managing the industrial productive process.
In the network communication field, the theses mainly focused on advanced methods for resource allocation and data privacy protection in cloud computing applications and on original artificial intelligence techniques for intrusion detection.
In the ambient intelligence field, the theses regarded innovative intelligent technologies for the semantic segmentation of certain types of objects and for smart cities.
In the biometric field, the theses mainly focused on innovative methods for person identification in novel scenarios such as ambient intelligence, new-generation mobile devices, and e-commerce, on advanced techniques for video sequence processing in gait recognition applications, on original image processing algorithms for palm vein recognition, on new methodologies for the three-dimensional reconstruction of touchless fingerprints, on advanced techniques for biometric information fusion, and on forensic aspects related to fingerprint recognition.

3. Education and research activities in national and international institutes

3.1. Visit in international research centers

  • Visiting Researcher at the Multimedia Laboratory, University of Toronto, ON, Canada
    (December 2, 2019 – March 2, 2020).
    The research activities were performed in collaboration with Prof. Konstantinos N. Plataniotis, director of the Multimedia Laboratory, and regarded the study and realization of innovative pattern recognition methods and algorithms based on image processing and artificial intelligence techniques, with a specific focus on biomedical applications. In this context, the research focused on innovative methods based on Convolutional Neural Networks and Explainable Artificial Intelligence for the analysis of histopathological images. The research activities, performed both during the period as a visiting researcher and in the subsequent months, resulted in the publication of two articles in proceedings of international conferences [DOI: 10.1109/ICASSP39728.2021.9414362].

  • Visiting Researcher at the Multimedia Laboratory, University of Toronto, ON, Canada
    (June 1, 2017 – August 31, 2017).
    The research activities were performed in collaboration with Prof. Konstantinos N. Plataniotis, director of the Multimedia Laboratory, and regarded the study and realization of innovative pattern recognition methods and algorithms based on image processing and artificial intelligence techniques, with a specific focus on biometric applications. In this context, the research focused on innovative methods based on Convolutional Neural Networks with unsupervised training for the adaptive analysis of palmprint samples captured using contactless and non ideal acquisition procedures. The research activities, performed both during the period as a visiting researcher and in the subsequent months, resulted in the publication of an article in an international journal [DOI: 10.1109/TIFS.2019.2911165].

3.2. Participation in international schools

  • 2nd Short Spring School in Surveillance (S5), at the University of Modena and Reggio Emilia, Modena, Italy (sponsored by the Gruppo Italiano Ricercatori in Pattern Recognition, GIRPR), May 7–9, 2013.

  • 1st Training School: Intelligent Monitoring of Critical Infrastructure Systems, Albena, Bulgaria (sponsored by the COST action IC0806: IntelliCIS), October 10–13, 2011.

  • 8th Summer School for Advanced Studies on Biometrics for Secure Authentication: New technologies for forensic and security, Alghero, Italy (sponsored by the IEEE Biometrics Council, IAPR, GIRPR, EU COST IC1106, EU Marie Curie action BBFOR2, Morpho), June 6–10, 2011.

3.3. Courses on teaching activities

  • University Teaching: Core Skills, Oxford University Press, January 2021.

  • Faculty Development for University Teaching (28 hours), Università degli Studi di Milano, 2020.

4. National and international research projects

Scientific manager of the research unit of projects funded by the Università degli studi di Milano.
  • PSR 2020 – SEED.
    Title: 3SUN – Real-world assessment of 3rd-generation Solar cells: a UNified scientific approach.
    Project duration: March 2021 – August 2022.
    Financed amount: 30,000 €.

Responsibility of international research projects funded by industries.
  • Industry: NVIDIA Corporation.
    Title: Deep Learning and CUDA for advanced and less-constrained biometric systems.
    Project duration: March 2017 – present.

Participation as a researcher in international research projects funded by the European Commission.
  • Program: EU Horizon 2020 Research and Innovation Programme.
    Title: MARSAL – Machine Learning-based Networking and Computing Infrastructure Management for Beyond 5G.
    Project duration: January 2021 – December 2023.

  • Program: EU Horizon 2020 Research and Innovation Programme.
    Title: MOSAICrOWN – Multi-Owner data Sharing for Analytics and Integration respecting Confidentiality and OWNer control.
    Project duration: January 2019 – December 2021.

  • Program: EU Horizon 2020 Research and Innovation Programme.
    Title: ESCUDOCLOUD – Enforceable Security in the Cloud to Uphold Data Ownership.
    Project duration: January 2015 – December 2017.

  • Program: EU Seventh Framework European research project (FP7).
    Title: ABC4EU – Automatic Border Control for Europe.
    Project duration: January 2014 – March 2018.

  • Program: EU Seventh Framework European research project (FP7).
    Title: I-PAN – Innovative Poplar Low Density Structural Panel.
    Project duration: October 2012 – September 2015.

  • Program: EU Seventh Framework European research project (FP7).
    Title: PrimeLife – Privacy and Identity Management in Europe for Life.
    Project duration: March 2008 – June 2011.

Participation as a researcher in national research projects.
  • Title: PRIN 2017 HOPE – High quality Open data Publishing and Enrichment.
    Project duration: September 2019 – August 2022.

  • Title: PRIN 2015 COSMOS – COntactlesS Multibiometric mObile System in the wild.
    Project duration: February 2017 – February 2020.

  • Title: PRIN 2010-2011 GenData 2020 – Data-driven genomic computing.
    Project duration: February 2013 – January 2016.

  • Title: ASEM – Adaptive Systems for Environmental Monitoring.
    Project duration: March 2010 – February 2012.

  • Title: PRIN 2007 Priv-Ware – Privacy aware processing of encrypted signals for treating sensitive information.
    Project duration: September 2008 – September 2010.

Participation as a researcher in national research projects funded by industries.
  • Industry: Edison S.p.A.
    Title: Computational intelligence and signal processing techniques for predicting electric power production in power plants based on renewable energy.
    Project duration: May 2014 – April 2015.

  • Industry: Edison S.p.A.
    Title: Computational intelligence and signal processing techniques for predicting electric power production in power plants based on renewable energy - Feasibility study.
    Project duration: March 2013 – February 2014.

See also the Projects page.

5. Participation in national and international research groups

5.1. Organizational activities for research laboratories

  • Participation in the activities and management of the Industrial, Environmental, and Biometric Informatics Laboratory (IEBIL) at the Università degli Studi di Milano, Department of Computer Science (June 2015 – present).

  • Participation in the activities and management of the Biometric Systems Laboratory (BMSL) at the Università degli Studi di Milano, Department of Computer Science (September 2010 – June 2015).

  • Participation in the activities and management of the Industrial and Environmental Informatics Laboratory (IEIL) at the Università degli Studi di Milano, Department of Computer Science (September 2010 – June 2015).

5.2. Collaboration with national and international research groups

  • Collaboration with STMicroelectronics, Catania, Italy (September 2020 – present).
    Within the collaboration, with Dr. Francesco Rundo, the research activities focused on the study and realization of innovative pattern recognition approaches based on signal and image processing and on artificial intelligence techniques, with a specific focus on autonomous driving applications. In this context, the research focused on original methods based on Deep Learning, Convolutional Neural Networks and photoplethysmography for the semantic segmentation of images captured by a vehicle-mounted camera, for the estimation of the distance of objects in the scene without requiring additional sensors, and for continuously monitoring the driver's attention level.
    The research activities resulted in the publication of five papers in proceedings of international conferences.

  • Collaboration with the Visual Information Processing and Protection Group, Università degli Studi di Siena, Italy (June 2019 – present).
    Within the collaboration, with the Visual Information Processing and Protection Group, directed by Prof. Mauro Barni, the research activities focused on the study and realization of innovative pattern recognition algorithms based on signal processing and artificial intelligence, in particular for biometric applications. In this context, the research included the study of original image processing methodologies for iris images based on biometric techniques for feature extraction and identity comparison, and on artificial intelligence models based on Deep Learning and Generative Adversarial Networks. The realized method enabled to perform the biometric anonymization of the iris in high-resolution images collected from the internet, while guaranteeing a high visual realism of the anonymized images.
    The research activities resulted in the publication of an article in an international journal.

  • Collaboration with Yildiz Technical University, Istanbul, Turkey (March 2019 – present).
    Within the collaboration, with Prof. Tulay Yildirim, the research activities focused on the analysis of recent cybersecurity methods, with a specific attention to artificial intelligence techniques using Deep Learning for intrusion detection in network communication scenarios. Furthermore, the research included the study of the databases most widely used in the intrusion detection field, with the purpose of highlighting their utility in training intelligent models and their future usefulness in comparion the performance of Deep Learning-based methods.
    The research activities resulted in the publication of an article in an international journal.

  • Collaboration with the Intelligent Sensor, Measurement, and Control Laboratory and with the Visual Intelligence Studio, Carnegie Mellon University, Pittsburgh, PA, USA (November 2018 – present).
    Within the collaboration, with the Intelligent Sensor, Measurement, and Control Laboratory, directed by Prof. Mel Siegel, and with the Visual Intelligence Studio, directed by Prof. Yang Cai, the research activities focused on the study of recent methods for Ambient Intelligence based on last-generation sensors, innovative and adaptive communication infrastructures, and privacy-aware data processing techniques.
    The research activities resulted in the publication of a conference paper.

  • Collaboration with the Multimedia Laboratory, University of Toronto, ON, Canada (June 2017 – present).
    He was Visiting Researcher at the University of Toronto, ON, Canada, from June 1, 2017 to August 31, 2017. In this period, in collaboration with the Multimedia Laboratory, directed by Prof. Konstantinos N. Plataniotis, the research activities focused on the study and realization of innovative pattern recognition methods and algorithms based on image processing and artificial intelligence techniques, with a specific focus on biometric applications. In this context, the research focused on innovative methods based on Convolutional Neural Networks with unsupervised training for the adaptive analysis of palmprint samples captured using contactless and non ideal acquisition procedures. The major contributions consist in the use of Convolutional Neural Networks able to extract highly-discriminative biometric information, while being trained with unlabeled biometric data.
    Subsequently, he was Visiting Researcher at the University of Toronto, ON, Canada, from December 2, 2019 to March 2, 2020. In this period, the research focused on the study and realization of innovative pattern recognition methods and algorithms based on image processing and artificial intelligence, with a specific attention to biomedical applications. In this context, the research focused on innovative methods based on Convolutional Neural Networks and Explainable Artificial Intelligence for the analysis of histopathological images, with a particular attention on image of blood cells affected by tumor.
    The results of the research activities, performed both during the period as a visiting researcher and in the subsequent months, resulted in the publication of an article in an international journal and two papers in proceedings of international conferences.

  • Collaboration with the Biometric and Image Processing Lab (BIPLab), Università degli Studi di Salerno, Fisciano, Italy (February 2017 – February 2020).
    The research activities were performed in collaboration within the project Contactless Multibiometric Mobile System in the Wild (COSMOS), funded by the MIUR. With the Biometric and Image Processing Lab, directed by Prof. Michele Nappi, the research activities focused on the study and realization of innovative pattern recognition methods and algorithms based on signal processing and artificial intelligence. In particular, the research focused on feature extraction methods applied on biometric samples captured in heterogeneous conditions and on information fusion techniques for the recognition of fingerprints, palmprint, and face. The methods have been validated with the application on biometric samples captured using contactless and non-idea acquisition procedures, enabling to perform the recognition in a less-constrained way, with greater usability and social acceptance than the methods currently used.
    The research activities performed within the project have been performed in a coordinated and synergistic way thanks to the collaboration, which enabled both research teams to publish articles in their own research field and within the scope of the project, with mutual exchanges of knowledge. In particular, the collaboration resulted in the publication of an article in an international journal, three conference papers, and two chapters in research books published by international editors.
    The collaboration was carried on also through several visits for short research periods.

  • Collaboration with the Face Recognition and Artificial Vision Research Laboratory for Advanced Security, Universidad Rey Juan Carlos, Madrid, Spain (January 2014 – March 2018).
    The research activities were performed in collaboration within the project Automated Border Control Gates for Europe (ABC4EU), funded by the European Commission. With the Face Recognition and Artificial Vision Research Laboratory for Advanced Security, directed by Prof. Enrique Cabello Pardos, the research activities focused on the study and realization of innovative pattern recognition methods and algorithms based on image processing and artificial intelligence. In particular, the research focused on novel techniques for highly-usable biometric recognition, by studying and realizing innovative methods for the fusion of multi-sensor signals and images. The realized methods have been validated in the context of the high-security, multi-biometric recognition techniques present in recent automated border control systems.
    The research activities performed within the project have been performed in a coordinated and synergistic way thanks to the collaboration, which enabled both research teams to publish articles in their own research field and within the scope of the project, with mutual exchanges of knowledge. In particular, the collaboration resulted in the publication of an article in an international journal and six conference papers.

  • Collaboration with the Laboratory of Applications of Fuzzy Logic and Evolutionary Algorithms, European Centre for Soft Computing, Mieres, Spain (October 2012 – September 2015).
    The research activities were performed in collaboration within the project I-PAN - Innovative Poplar Low Density Structural Panel, funded by the European Commission. With the Laboratory of Applications of Fuzzy Logic and Evolutionary Algorithms, directed by Prof. Sergio Damas Arroyo, the research activities focused on the study and realization of innovative pattern recognition methods and algorithms based on image processing and artificial intelligence. In particular, the research focused on industrial application scenarios, by studying and realizing innovative methods for the granulometric analysis of particles captured using less-constrained acquisition procedures, in the presence of high levels of noise and with frequent occlusions. The realized methods have been validated in the context of the industrial production of panels made with wood strands.
    The research activities performed within the project have been performed in a coordinated and synergistic way thanks to the collaboration, which enabled both research teams to publish articles in their own research field and within the scope of the project, with mutual exchanges of knowledge. In particular, the collaboration resulted in the publication of an article in an international journal and three conference papers.

Some of the research activities have been carried out within national and international projects, in cooperation with the following institutes:

  • Universities and research centers: Università degli Studi di Catania, Italy; Yildiz Technical University, Turkey; Carnegie Mellon University, USA; University of Toronto, ON, Canada; Università degli Studi di Salerno, Italy; Eticas Research & Consulting, Spain; European Centre for Soft Computing, Spain; Laurea University of Applied Sciences, Finland; Universidad Rey Juan Carlos, Spain.

  • National and international industries: STMicroelectronics, Italy; MotorK, Italy; NVIDIA Corporation, U.S.A; Atos, Spain; Cognitec Systems GmbH, Germany; CiaoTech S.r.L, Italy; Dermalog Identification Systems GmbH, Germany; Neurotechnology, Lithuania; Edison S.p.A., Italy; IBL S.p.A., Italy; IDP Ingeniería y Arquitectura Iberia S.L., Spain; IMAL s.r.l, Italy; I-PAN S.p.A., Italy; Indra Sistemas S.A., Spain; SAFE ID Solutions GmbH, Germany; Vision-Box S.A., Portugal.

  • Art galleries: Carlo Virgilio & C. Arte moderna e contemporanea, Italy.

See also the Collaborations page.

6. Participation as a speaker in international conferences

Participation as a speaker in the following international conferences, symposia, and workshops:

  • "Acute Lymphoblastic Leukemia detection based on adaptive unsharpening and Deep Learning", 2021 IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, ON, Canada, June 9, 2021;

  • "Pedestrian/cyclist distance estimation from a single RGB Image: A CNN-based semantic segmentation approach", 22nd IEEE Int. Conf. on Industrial Technology (ICIT 2021), Valencia, Spain, March 10, 2021;

  • "Towards explainable face aging with Generative Adversarial Networks", 26th IEEE Int. Conf. on Image Processing (ICIP 2019), Taipei, Taiwan, September 22, 2019;

  • "Touchless palmprint and finger texture recognition: A Deep Learning fusion approach", 2019 IEEE Int. Conf. on Computational Intelligence & Virtual Environments for Measurement Systems and Applications (CIVEMSA 2019), Tianjin, China, June 15, 2019;

  • "IoT-based architectures for sensing and local data processing in Ambient Intelligence: research and industrial trends", 2019 IEEE Int. Instrumentation and Measurement Tehnology Conf. (I2MTC 2019), Auckland, New Zealand, May 21, 2019;

  • "Towards the prediction of renewable energy unbalance in smart grids", 2018 IEEE 4th Int. Forum on Research and Technology for Society and Industry – Innovation to shape the future (RTSI 2018), Palermo, Italy, September 13, 2018;

  • "Enhancing the performance of multimodal Automated Border Control systems", 15th Int. Conf. of the Biometrics Special Interest Group (BIOSIG 2016), Darmstadt, Germany, September 22, 2016;

  • "Biometric information fusion and accuracy test in ABCs", European Association for Biometrics – Research Projects Conf. (EAB-RPC 2016), Darmstadt, Germany, September 20, 2016;

  • "Analyzing images in frequency domain to estimate the quality of wood particles in OSB production", 2016 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2016), Budapest, Hungary, June 27, 2016;

  • "ABC4EU: Algorithms", European Association for Biometrics – Research Projects Conf. (EAB-RPC 2015), Darmstadt, Germany, September 7, 2015;

  • "ABC4EU: System aspects and usability", European Association for Biometrics – Research Projects Conf. (EAB-RPC 2015), Darmstadt, Germany, September 7, 2015;

  • "Accurate 3D Fingerprint Virtual Environment for Biometric Technology Evaluations and Experiment Design", IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2013), Milan, Italy, July 15, 2013.

Seminars on the following research topics:

  • "News from the IEEE SYP Congress 2018", 2018 IEEE 4th Int. Forum on Research and Technology for Society and Industry – Innovation to shape the future (RTSI 2018), Palermo, Italy, September 11, 2018;

  • "Update of the research activities", ABC4EU Management Board Meeting, Madrid, Spain, December 20, 2017;

  • "Touchless and less-constrained 3D palmprint recognition", University of Toronto, Multimedia Laboratory, Toronto, ON, Canada, July 18, 2017;

  • "Research, development, and dissemination activities", ABC4EU 2nd Technical Review, Brussels, Belgium, March 8, 2017;

  • "Problems tackled, pilot testing, ethical issues", ABC4EU Technical Board Meeting, Barcelona, Spain, December 13, 2016;

  • "Touchless and less-constrained 3D fingerprint recognition", Università degli Studi di Milano, Department of Computer Science, Crema, Italy, December 21, 2015;

  • "Contactless and less-constrained palmprint recognition", Università degli Studi di Milano, Department of Computer Science, Milan, Italy, March 18, 2014;

  • "Anytime Algorithms for Real-time Image Processing", Università degli Studi di Milano, Department of Computer Science, Crema, Italy, March 19, 2013;

  • "Virtual Environment for Synthetic Smoke Clouds Generation", First Training School: Intelligent Monitoring of Critical Infrastructure Systems, Albena, Bulgaria, October 10, 2011;

  • "Measurement of the Principal Singular Point in Contact and Contactless Fingerprint Images by using Computational Intelligence Techniques", 8th Summer School for Advanced Studies on Biometrics for Secure Authentication, Alghero, Italy, June 7, 2011.

Other participations in international conferences:

  • 2018 IEEE R8 Student and Young Professional Congress (SYP 2018), Porto, Portugal, July 25–29, 2018;

  • 2018 IEEE Int. Conf. on Environmental Engineering (EE 2018), Milan, Italy, March 12–14, 2018;

  • 2015 2nd IEEE World Forum on Internet of Things (WF-IoT 2015), Milan, Italy, December 14–16, 2015;

  • 2014 IEEE Int. Symp. on Innovations in Intelligent Systems and Applications (INISTA 2014), Alberobello, Italy, June 23–25, 2014;

  • 2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS 2011), Milan, Italy, September 28, 2011;

  • 2011 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS 2011), Milan, Italy, September 28, 2011.

7. Awards for the research activities

Obtained the following awards for the research activities:

  • The work "PalmNet: Gabor-PCA Convolutional Networks for touchless palmprint recognition" (authors: A. Genovese, V. Piuri, K. N. Plataniotis, F. Scotti), published in the international journal IEEE Transactions on Information Forensics and Security, vol. 14, no. 12, December 2019, pp. 3160–3174 (already published in the online issue in April 2019), was considered by the Editorial Board of the IEEE Biometrics Compendium as one of the most significant works in the field of biometric recognition and therefore was included in the IEEE Biometrics Compendium, no. 38, November 2019 [DOI: 10.1109/biomvj.2019.0000038].

  • The work "Biometric recognition in Automated Border Control: A survey" (authors: R. Donida Labati, A. Genovese, E. Muñoz, V. Piuri, F. Scotti), published in the international journal ACM Computing Surveys, vol. 46, no. 2, November 2016, pp. 24:1–24:39, was considered by the Editorial Board of the IEEE Biometrics Council Newsletter as one of the most significant works in the field of biometric recognition and therefore was included in the IEEE Biometrics Council Newsletter, vol. 29, April 2019 [http://ieee-biometrics.org/images/pdf/Vol29-Newsletter.pdf].

  • The research proposal "Deep Learning and CUDA for advanced and less-constrained biometric systems" was considered by the NVIDIA's Academic Programs Team as a project of relevant interest for the academic community. Such recognition was awarded in March 2017 with a GPU grant, in the form of a GeForce Titan X Pascal donated to the Università degli Studi di Milano.

  • The work "Toward unconstrained fingerprint recognition: a fully-touchless 3-D system based on two views on the move" (authors: R. Donida Labati, A. Genovese, V. Piuri, F. Scotti), published in the international journal IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 46, no. 2, February 2016, pp. 202–219, was considered by the Editorial Board of the IEEE Biometrics Compendium as one of the most significant works in the field of biometric recognition and therefore was included in the IEEE Biometrics Compendium, no. 24, July 2016 [DOI: 10.1109/BIOMVJ.2017.0000024].

Won the following selections, research grants, and scholarships:

  • Assistant Professor (tenure track: RTD-B) at the Università degli Studi di Milano, Department of Computer Science (July 1, 2019 – Present);

  • Abilitazione Scientifica Nazionale (ASN) in Computer Science, for the sector 01/B1 - Informatica (scientific sector INF/01 - Informatica), II fascia (August 7, 2018 – August 7, 2024);

  • Type A research grant at the Università degli Studi di Milano, in the research program: Advanced methods for less-constrained highly-usable biometric recognition in security applications, August 1, 2016 – June 30, 2019;

  • Type B research grant at the Università degli Studi di Milano, in the research program: Analysis of the functional characteristics of adaptive and less-constrained biometric systems, January 1, 2015 – July 31, 2016;

  • Type B research grant at the Università degli Studi di Milano, in the research program: Analysis of the functional characteristics of adaptive and less-constrained biometric systems, January 1, 2014 – December 31, 2014;

  • Ph.D. scholarship funded by the Università degli Studi di Milano, January 1, 2011 – December 31, 2013;

  • Scholarship in the research program: Computational intelligence techniques for environmental and critical infrastructure monitoring, funded by the Università degli Studi di Milano, September 1, 2010 – December 31, 2010.

8. Professional and service activities

8.1. Memberships

  • IEEE Member (since 2015).

  • IEEE Italy Section Member (since 2015).

  • IEEE Computational Intelligence Society (since 2012).

  • IEEE Biometrics Council (since 2015).

  • IEEE Systems Council (since 2017).

  • IEEE Italy Section Systems Council Chapter (since 2017).

  • IEEE Instrumentation and Measurement Society (since 2021).

  • IEEE Graduate student member (2012 – 2014).

  • ACM Member (2021 – 2022).

  • GRIN (Gruppo di Informatica) (since 2017).

  • CINI (Consorzio Interuniversitario Nazionale per l'informatica) Digital Health Laboratory (since 2021).

8.2. Organizational activities for international scientific committees

  • Chair, IEEE Italy Section Systems Council Chapter (April 2021 – Present).

  • Co-Chair, IEEE Instrumentation and Measurement Society, TC-22: Intelligent Measurement Systems (September 2020 – present).

  • Vice-Chair, IEEE Italy Section Systems Council Chapter (December 2017 – March 2021).

  • Member, IEEE Computational Intelligence Society, Neural Networks Technical Committee, Task Force on Deep Learning (April 2020 – present).

  • Member, IEEE Instrumentation and Measurement Society, TC-22: Intelligent Measurement Systems (April 2019 – September 2020).

  • Webmaster, ICTNET project webpage (http://ictnet.di.unimi.it) (January 2016 – present)

8.3. Organization of international conferences

Program chair/co-chair of international conferences:

  • 2020 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2020), Tunis, Tunisia, June 22–24, 2020;

  • 2019 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2019), Tianjin, China, June 14–16, 2019;

  • 2018 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS 2018), Salerno, Italy, June 21–22, 2018;

  • 2018 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2018), Ottawa, Canada, June 12–14, 2018;

  • 2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS 2017), Milan, Italy, July 24–25, 2017.

Tutorial chair of international conferences:

  • 2014 IEEE Int. Symp. on Innovations in Intelligent Systems and Applications (INISTA 2014), Alberobello, Italy, June 23–25, 2014.

Publication chair of international conferences:

  • 2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS 2011), Milan, Italy, September 28, 2011.

Special session organizer in international conferences:

  • "Instrumentation and measurement for ambient intelligence applications", IEEE 2019 Int. Instrumentation and Measurement Technology Conf. (I2MTC 2019), Auckland, New Zealand, May 20–23, 2019.

  • "Environmental monitoring and prediction", 4th Int. Forum on Research and Technologies for Society and Industry – Innovation to shape the future (RTSI 2018), Palermo, Italy, September 10–13, 2018.

Treasurer of international conferences:

  • 2017 IEEE Int. Workshop on Electronic Waste (e-Waste 2017), Mumbai, India, December 17, 2017.

Local arrangement chair of international conferences:

  • 2011 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS 2011), Milan, Italy, September 28, 2011.

Program committee member of international conferences:

  • 2021 Int. Conf. on Intelligent Systems Design and Applications (ISDA 2021), December 13–15, 2021;

  • 2021 IEEE Symp. Series on Computational Intelligence (SSCI 2021), Orlando, FL, USA, December 5–8, 2021;

  • 2021 IEEE Symp. on Deep Learning (DL 2021), Orlando, FL, USA, December 4–7, 2021;

  • 34th Conf. on Graphics, Patterns and Images (SIBGRAPI 2021), October 18–22, 2021;

  • 2021 Int. Conf. on INnovations in Intelligent SysTems and Applications (INISTA 2021), Kocaeli, Turkey, August 25–27, 2021;

  • 18th Int. Conf. on Security and Cryptography (SECRYPT 2021), July 6–8, 2021;

  • 2021 IEEE Int. Conf. on Communications (ICC 2021), Montreal, QC, Canada, June 14–18, 2021;

  • 10th Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM 2021), Vienna, Austria, February 4–6, 2021;

  • 2020 IEEE Symp. on Deep Learning (DL 2020), Canberra, Australia, December 1–4, 2020;

  • 2020 IEEE Symp. Series on Computational Intelligence (SSCI 2020), Canberra, Australia, December 1–4, 2020;

  • 8th Int. Conf. on Mining Intelligence & Knowledge Exploration (MIKE 2020), Thessaloniki, Greece, November 9–11, 2020;

  • 10th Int. Conf. on Pervasive and Embedded Computing and Communication Systems (PECCS 2020), Budapest, Hungary, November 4–5, 2020;

  • 8th Int. Symp. on Security in Computing and Communications (SSCC 2020), Chennai, India, October 14–17, 2020;

  • 2020 IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC 2020), Toronto, ON, Canada, October 11–14, 2020;

  • 2020 Int. Conf. on INnovations in Intelligent SysTems and Applications (INISTA 2020), Novi Sad, Serbia, August 24–26, 2020;

  • 17th Int. Conf. on Security and Cryptography (SECRYPT 2020), Paris, France, July 8–10, 2020;

  • 2020 IEEE Int. Conf. on Communications (ICC 2020), Dublin, Ireland, June 7–11, 2020;

  • 21st Int. Conf. on Engineering Applications of Neural Networks (EANN 2020), Halkidiki, Greece, June 5–7, 2020;

  • 16th Int. Conf. on Artificial Intelligence Applications and Innovations (AIAI 2020), Halkidiki, Greece, June 5–7, 2020;

  • 2020 Asia Human-Computer Interaction Symp. (AHMIS 2020), Shanghai, China, May 29–31, 2020;

  • 2020 IEEE Int. Instrumentation and Measurement technology Conf. (I2MTC 2020), Dubrovnik, Croatia, May 25–28, 2020;

  • 5th Int. Conf. on Internet of Things, Big Data and Security (IoTBDS 2020), Prague, Czech Republic, May 7–9, 2020;

  • 2020 Int. Workshop on Biometrics and Forensics (IWBF 2020), Porto, Portugal, April 29–30, 2020;

  • 2020 2nd Int. Conf. on Image, Video and Signal Processing (IVSP 2020), Singapore, March 20–22, 2020;

  • 9th Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM 2020), La Valletta, Malta, February 22–24, 2020;

  • 2020 5th Int. Conf. on Intelligent Information Technology (ICIIT 2020), Hanoi, Vietnam, February 19–22, 2020;

  • 2020 Int. Conf. on Computer Vision and Computational Intelligence (CVCI 2020), Bali Island, January 17–19, 2020;

  • 4th Int. Conf. on Data Management, Analytics and Innovation (ICDMAI 2020), New Delhi, India, January 17–19, 2020;

  • 7th Int. Symp. on Security in Computing and Communications (SSCC 2019), Trivandrum, India, December 18–21, 2019;

  • 2019 IEEE Int. Conf. on Advanced Networks and Telecommunications Systems (ANTS 2019), Goa, India, December16–19, 2019;

  • 21st Int. Conf. on Information and Communications Security (ICICS 2019), Beijing, China, December 15–17, 2019;

  • 2019 IEEE 5th Int. Conf. on Computer and Communications (ICCC 2019), Chengdu, China, December 6–9, 2019;

  • 2nd IEEE Middle East & North Africa COMMunications Conf. (MENACOMM 2019), Manama, Bahrain, November 19–21, 2019;

  • 2019 19th IEEE Int. Conf. on Communication Technology (ICCT 2019), Xi'an, China, October 16–19, 2019;

  • 9th Int. Conf. on Pervasive and Embedded Computing and Communication Systems (PECCS 2019), Vienna, Austria, September 19–20, 2019;

  • 2019 Int. Conf. on Artificial Neural Networks (ICANN 2019), Munich, Germany, September 17–19, 2019;

  • 11th Int. Joint Conf. on Knowledge Discovery and Information Retrieval (KDIR 2019), Vienna, Austria, September 17–19, 2019;

  • 5th Int. Forum on Research and Technology for Society and Industry (RTSI 2019), Florence, Italy, September 9–12, 2019;

  • 2019 Int. Joint on Deep Learning and Machine Learning in Emerging Applications (DEEP-ML 2019), Istanbul, Turkey, August 26–28, 2019;

  • 17th Annual Int. Conf. on Privacy, Security and Trust (PST 2019), Fredericton, NB, Canada, August 26–28, 2019;

  • 2019 IEEE Smart World Congress (SmartWorld 2019), Leicester, UK, August 19–23, 2019;

  • 2019 Int. Conf. on Information Technology and Computer Communications (ITCC 2019), Singapore, August 16–18, 2019;

  • 2019 Future Vision Int. Congress (ICFV 2019), Oxford, UK, August 5–8, 2019;

  • 16th Int. Conf. on Security and Cryptography (SECRYPT 2019), Prague, Czech Republic, July 26–29, 2019;

  • 2019 Int. Joint Conf. on Neural Networks (IJCNN 2019), Budapest, Hungary, July 14–19, 2019;

  • 12th IEEE Int. Conf. on Internet of Things (iThings 2019), Atlanta, USA, July 14–17, 2019;

  • 2019 4th IEEE Int. Conf. on Image, Vision and Computing (ICIVC 2019), Xiamen, China, July 5–7, 2019;

  • 2019 IEEE Int. Symp. on INnovations in Intelligent SysTems and Applications (INISTA 2019), Sofia, Bulgaria, July 3–5, 2019;

  • 15th Int. Work-Conf. on Artificial Neural Networks (IWANN 2019), Gran Canaria, Spain, June 12–14, 2019;

  • 7th IEEE Black Sea Conf. on Communications and Networking (BlackSeaCom 2019), Sochi, Russia, June 3–6, 2019;

  • 15th Int. Conf. on Artificial Intelligence Applications and Innovations (AIAI 2019), Crete, Greece, May 24–26, 2019;

  • 20th Int. Conf. on Engineering Applications of Neural Networks (EANN 2019), Crete, Greece, May 24–26, 2019;

  • 2019 IEEE Int. Conf. on Communications (ICC 2019), Shanghai, China, May 24–29, 2019;

  • 4th Int. Conf. on Internet of Things, Big Data, and Security (IoTBDS 2019), Heraklion, Greece, May 2–4, 2019;

  • 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), Macau, China, April 14–17, 2019;

  • 2019 2nd Int. Conf. on Computer Applications & Information Security (ICCAIS 2019), Riyadh, Saudi Arabia, March 19–21, 2019;

  • 2019 Int. Conf. on Image, Video and Signal Processing (IVSP 2019), Shanghai, China, February 25–28, 2019;

  • 2019 4th Int. Conf. on Intelligent Information Technology (ICIIT 2019), Da Nang, Vietnam, February 20–23, 2019;

  • 8th Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM 2019), Prague, Czech Republic, February 19–21, 2019;

  • 3rd Int. Conf. on Data Management, Analytics & Innovation (ICDMAI 2019), Kuala Lumpur, Malaysia, January 18–20, 2019;

  • 2018 IEEE 3rd Int. Conf. on Communication and Information Systems (ICCIS 2018), Singapore, December 28–30, 2018;

  • 2018 IEEE Int. Conf. on Advanced Networks and Telecommunications Systems (ANTS 2018), Indore, India, December 16–19, 2018.

  • 11th Int. Conf. on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS 2018), Melbourne, Australia, December 11–13, 2018;

  • 20th Int. Conf. on Information and Communications Security (ICICS 2018), Lille, France, October 29–31, 2018;

  • 4th IEEE Smart World Congress (SmartWorld 2018), Guangzhou, China, October 8–12, 2018;

  • 2018 18th IEEE Int. Conf. on Communication Technology (ICCT 2018), Chongqing, China, October 8–11, 2018;

  • 27th Int. Conf. on Artificial Neural Networks (ICANN 2018), Rhodes, Greece, October 5–7, 2018;

  • 6th Int. Symposium on Security in Computing and Communications (SSCC 2018), Bangalore, India, September 19–22, 2018;

  • 10th Int. Joint Conf. on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR 2018), Seville, Spain, September 18–20, 2018;

  • 15th Int. Conf. on Security and Cryptography (SECRYPT 2018), Porto, Portugal, July 26–28, 2018;

  • 2018 Int. Joint Conf. on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil, July 8–13, 2018;

  • 2018 IEEE Int. Conf. on INnovations in Intelligent SysTems and Applications (INISTA 2018), Thessaloniki, Greece, July 3–5, 2018;

  • 4th IEEE Int. Conf. on Data Science and Systems (DSS 2018), Exeter, UK, June 28–30, 2018;

  • 2018 3rd IEEE Int. Conf. on Image, Vision and Computing (ICIVC 2018), Chongqing, China, June 27–29, 2018;

  • 22nd Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD 2018), Melbourne, Australia, June 3–6, 2018;

  • 2018 IEEE Int. Conf. on Communications (ICC 2018), Kansas City, MO, USA, May 20–24, 2018;

  • 2018 Int. Conference on Intelligent Systems and Wireless Technologies (ICISWT 2018), Bangalore, India, March 22–24, 2018;

  • 2018 Int. Conf. on Intelligent Information Technology (ICIIT 2018), Hanoi, Vietnam, February 26–28, 2018;

  • 2018 Int. Conf. on Communication, Computing & Internet of Things (IC3IoT 2018), Chennai, India, February 15–17, 2018;

  • 2nd Int. Conf. on Data Management, Analytics and Innovation (ICDMAI 2018), Pune, India, January 19–21, 2018;

  • 7th Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM 2018), Funchal, Portugal, January 16–18, 2018;

  • 2017 IEEE Int. Symp. on Signal Processing and Information Technology (ISSPIT 2017), Bilbao, Spain, December 18–20, 2017;

  • 3rd IEEE Int. Conf. on Data Science and Systems (DSS 2017), Bangkok, Thailand, December 18–20, 2017;

  • 2017 IEEE Int. Conf. on Advanced Networks and Telecommunications Systems (ANTS 2017), Bhubaneswar, India, December 17–20, 2017;

  • 2017 Int. Conf. on Computing Analytics and Networking (ICCAN 2017), Bhubaneswar, India, December 15–16, 2017;

  • 2017 Int. Conf. on Machine Learning and Data Science (ICMLDS 2017), Delhi, India, December 14–15, 2017;

  • 10th Int. Conf. on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS 2017), Guangzhou, China, December 12–15, 2017;

  • 13th Int. Conf. on Information Security Practice and Experience (ISPEC 2017), Melbourne, Australia, November 29–December 1, 2017;

  • 9th Int. Conf. on Knowledge Discovery and Information Retrieval (KDIR 2017), Funchal, Portugal, November 1–3, 2017;

  • 2017 17th IEEE Int. Conf. on Communication Technology (ICCT 2017), Chengdu, China, October 27–30, 2017;

  • 3rd Int. Symp. on Intelligent Systems Technologies and Applications (ISTA 2017), Manipal, India, September 13–16, 2017;

  • 5th Int. Symp. on Security in Computing and Communications (SSCC 2017), Manipal, India, September 13–16, 2017;

  • 2nd Symp. on Advances in Applied Informatics (SAI 2017), Manipal, India, September 13–16, 2017.

  • 6th Int. Conf. on Advances in Computing, Communications and Informatics (ICACCI 2017), Manipal, India, September 13–16, 2017;

  • 14th Int. Conf. on Security and Cryptography (SECRYPT 2017), Madrid, Spain, July 24–26, 2017;

  • 2017 IEEE Region 10 Symp. - Technologies for Smart Cities (TENSYMP 2017), Kerala, India, July 14–16, 2017;

  • 2017 IEEE Int. Conf. on INnovations in Intelligent SysTems and Applications (INISTA 2017), Gdynia, Poland, July 3–5, 2017;

  • 2017 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2017), Annecy, France, June 26–28, 2017;

  • 11th Int. Conf. on Frontier of Computer Science and Technology (FCST 2017), Exeter, UK, June 21–23, 2017;

  • 14th Int. Work-Conf. on Artificial Neural Networks (IWANN 2017), Cádiz, Spain, June 14–16, 2017;

  • 2017 2nd Int. Conf. on Image, Vision and Computing (ICIVC 2017), Chengdu, China, June 2–4, 2017;

  • 2nd Int. Conf. on Internet of Things, Big Data and Security (IoTBDS 2017), Porto, Portugal, April 24–26, 2017;

  • 2017 World Symp. on Computer Applications & Research (WSCAR 2017), Istanbul, Turkey, April 2–4, 2017;

  • 6th Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM 2017), Porto, Portugal, February 24–26, 2017;

  • 1st Int. Conf. on Advanced Computing and Intelligent Engineering (ICACIE 2016), Bhubaneswar, India, December 21–23, 2016;

  • 2016 IEEE Int. Symp. on Signal Processing and Information Technology (ISSPIT 2016), Limassol, Cyprus, December 12–14, 2016;

  • 2016 Int. Conf. On Signal Image Processing Communication & Automation (ICSIPCA 2016), Bengaluru, India, December 8–10, 2016;

  • 2016 Int. Conf. on Advances in Computing, Communications and Informatics (ICACCI 2016), Jaipur, India, September 21–24, 2016;

  • 2016 Int. Conf. on Computers, Data Management and Technology Applications (ICCDMTA 2016), Istanbul, Turkey, August 18–20, 2016;

  • 2016 Int. Symp. on INnovations in Intelligent SysTems and Applications (INISTA 2016), Sinaia, Romania, August 2–5, 2016;

  • 2016 Global Summit on Computer & Information Technology (GSCIT 2016), Sousse, Tunisia, July 16–18, 2016;

  • 2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS 2016), Bari, Italy, June 13–16, 2016;

  • 2016 Int. Conf. on Cancer Diagnostic and Medical Treatment Approaches (ICCDMTA 2016), Rome, Italy, April 21–22, 2016;

  • 2016 IEEE World Conf. on Futuristic Trends in Research and Innovation for Social Welfare (WCFTR 2016), Coimbatore, India, February 29–March 1, 2016;

  • 15th IEEE Int. Symp. on Signal Processing and Information Technology (ISSPIT 2015), Abu Dhabi, UAE, December 7–10, 2015;

  • 2015 Int. Conf. on Signal Processing & Data Mining (ICSPDM 2015), Rome, Italy, November 5–7, 2015;

  • 2015 Int. Conf. on Applied and Theoretical Computing and Communication Technology (iCATccT 2015), Davangere, India, October 29–31, 2015;

  • 2015 IEEE Int. Symp. on Innovations in Intelligent Systems and Applications (INISTA 2015), Madrid, Spain, September 2–4, 2015;

  • 4th Int. Conf. on Advances in Computing, Communications and Informatics (ICACCI 2015), Kerala, India, August 10–13, 2015;

  • 2015 Global Summit on Computer & Information Technology (GSCIT 2015), Sousse, Tunisia, June 11–13, 2015;

  • 7th IEEE Symp. on Computational Intelligence for Security and Defense Applications (CISDA 2014), Hanoi, Vietnam, December 14–17, 2014;

  • 2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS 2014), Rome, Italy, October 17, 2014;

  • 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS 2013), Naples, Italy, September 9, 2013;

  • 2012 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS 2012), Salerno, Italy, September 14, 2012;

  • 2012 IEEE Int. Conf. on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS 2012), Tianjin, China, July 2–4, 2012;

Special session chair of international conferences:

  • 2018 IEEE Int. Conf. on Environmental Engineering (EE 2018), Milan, Italy, March 12–14, 2018.

Publicity chair of international conferences:

  • 13th Int. Workshop on Security and Trust Management (STM 2017), Oslo, Norway, September 14–15, 2017;

  • 2014 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS 2014), Naples, Italy, September 17–18, 2014.

Reviewer for international conferences:

  • 2021 Int. Joint Conf. on Neural Networks (IJCNN 2021), July 18–22, 2021;

  • 2020 Int. Joint Conf. on Biometrics 2020 (IJCB 2020), Houston, TX, USA, September 27–30, 2020 (includes the IEEE Int. Conf. on Biometrics: Theory, Applications and Systems, BTAS and the Int. Conf. on Biometrics, ICB);

  • 2020 Int. Joint Conf. on Neural Networks (IJCNN 2020), Glasgow, UK, July 19–24, 2020;

  • 2018 IEEE Int. Conf. on Technology Management, Operations and Decisions (ICTMOD 2018), Marrakech, Morocco, November 21–23, 2018;

  • 11th IEEE Int. Conf. on Open Source Systems and Technologies (ICOSST 2017), Lahore, Pakistan, December 18–20, 2017;

  • 2017 Int. Conf. on Computing, Analytics and Networks (ICAN 2017), Chandigarh, India, October 27–28, 2017;

  • 2017 IEEE Int. Conf. On Smart Technologies For Smart Nation (SmartTechCon 2017), Bengaluru, India, August 17–19, 2017;

  • 21st Pacific Asia Conf. on Knowledge Discovery and Data Mining (PAKDD 2017), Jeju Island, Korea, May 23–26, 2017;

  • 1st Int. Conf. on Innovations in Electrical, Information and Communication Engineering (ICIEICE 2017), Thottiam, India, March 24–25, 2017;

  • 10th IEEE Int. Conf. on Open Source Systems and Technologies (ICOSST 2016), Lahore, Pakistan, December 15–17, 2016;

  • 2nd IEEE Int. Symp. on Systems Engineering (ISSE 2016), Edinburgh, Scotland, October 4–5, 2016;

  • 2nd Int. Symp. on Intelligent Systems Technologies and Applications (ISTA 2016), Jaipur, India, September 21–24, 2016;

  • 2nd Int. Conf. on Applied and Theoretical Computing and Communication Technology (iCATccT 2016), Bengaluru, India, July 21–23, 2016;

  • 1st IEEE Workshop on Security and Privacy in Cybermatics (SPiCy 2015), Florence, Italy, September 30, 2015;

  • 2015 IEEE Int. Conf. on Signal Processing, Informatics, Communication and Energy Systems (SPICES 2015), Kerala, India, February 19–21, 2015;

  • 2014 Int. Conf. on Computational Intelligence and Communication Networks (CICN 2014), Bhopal, India, November 8–10, 2014;

  • 3rd Int. Conf. on Advances in Computing, Communications & Informatics (ICACCI 2014), Delhi, India, September 24–27, 2014;

  • 2014 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2014), Ottawa, Canada, May 5–7, 2014;

  • 2014 Int. Conf. on Communication Systems and Network Technologies (CSNT 2014), Bhopal, India, April 7–9, 2014;

  • 2013 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2013), Milan, Italy, July 15–17, 2013;

  • 2012 IEEE Int. Conf. on Computational Intelligence for Measurement Systems and Applications (CIMSA 2012), Tianjin, China, July 2–4, 2012.

8.4. Editorial activities

Associate Editor of 3 international journals:

  • Elsevier Array (February 2019 – present);

  • Springer Journal of Ambient Intelligence and Humanized Computing (AIHC) (May 2017 – present);

  • The International Journal of Neural Systems Engineering (IJNSE) (October 2016 – present).

Member of the Editorial Committee of the following book published by international editor:

  • Trends in Deep Learning Methodologies – Algorithms, Applications, and Systems, ser. Hybrid Computational Intelligence for Pattern Analysis and Understanding, 1st Edition, Elsevier, 2020.

Reviewer for several international journals:

  • Elsevier Computer Networks (COMNET);
  • Elsevier Image and Vision Computing (IMAVIS);
  • Elsevier Information Sciences (INS);
  • Elsevier Journal of King Saud University – Computer and Information Sciences;
  • Elsevier Neural Networks;
  • Elsevier Neurocomputing;
  • Elsevier Pattern Recognition (PR);
  • Elsevier Pattern Recognition Letters (PRL);
  • IEEE Access;
  • IEEE Internet of Things Journal (IoT);
  • IEEE Sensors Journal;
  • IEEE Signal Processing Letters (SPL);
  • IEEE Trans. on Biometrics, Behavior, and Identity Science (TBIOM);
  • IEEE Trans. on Circuits and Systems for Video Technology (TCSVT);
  • IEEE Trans. on Cybernetics (TCYB);
  • IEEE Trans. on Human-Machine Systems (THMS);
  • IEEE Trans. on Image Processing (TIP);
  • IEEE Trans. on Industrial Informatics (TII);
  • IEEE Trans. on Information Forensics and Security (TIFS);
  • IEEE Trans. on Instrumentation and Measurement (TIM);
  • IEEE Trans. on Multimedia (TMM);
  • IEEE Trans. on Systems, Man and Cybernetics: Systems (TSMC:S);
  • IET Biometrics;
  • IET Signal Processing;
  • IOS Journal of Computer Security (JCS);
  • Springer Artificial Intelligence Review (AIR);
  • International Journal of Automation and Computing (IJAC);
  • Springer International Journal of Computer Vision (IJCV);
  • Springer Journal of Grid Computing (GRID);
  • Springer Machine Vision and Applications (MVAP);
  • Springer SN Computer Science;
  • Springer Soft Computing (SOCO);
  • Applied Artificial Intelligence.

8.5. Service activities

  • Member of the Erasmus and International Students Committee, Università degli Studi di Milano (January 2021 – present).

9. Research activity

The research activities introduced several innovative contributions from the theoretical, methodological, and applicative points of view, in the fields of information technology systems for the acquisition and processing of signals and images by using techniques based on artificial intelligence. Innovative contributions have been realized by studying, high-level designing, and implementing original technologies, hardware systems, and software algorithms. Within the study of artificial intelligence techniques from a theoretical point of view, a particular focus was given on realizing innovative methods based on unsupervised learning, which do not require the ground truth to process data and derive knowledge.
The study of artificial intelligence techniques enabled to design and realize innovative solutions able to process signal and images with a high level of noise, using adaptive methodologies, and reducing operational and environmental constraints, while ensuring a high accuracy of the results. In particular, innovative solutions have been proposed based on high-accuracy pattern recognition algorithms, with limited operational constraints, and that can be applied to signal and images with high levels of noise.
The proposed solutions have been successfully validated in applicative scenarios, both real and simulated, which include the analysis of biomedical images, industrial and environmental monitoring technologies, and biometric recognition systems in security applications, enabling to greatly increase the applicative range of the considered technologies and improve their usability. Regarding the analysis of biomedical images, the original contributions permitted to realize classification systems for histopathological images, using databases with reduced dimensionality and captured with low-cost sensors. Regarding industrial and environmental monitoring systems, the proposed original techniques enabled to realize remote monitoring systems with limited position constraints and able to work with low-cost acquisition devices, greatly increasing the ease of deployment of such systems, at the same reducing management costs. Regarding biometric systems, the proposed innovative methods enabled to realize touchless and less-constrained recognition techniques that significantly improved the usability and user acceptance of the biometric recognition, while keeping a high recognition accuracy.

9.1 Unsupervised techniques for artificial intelligence

The research activities focused on the design and realization of innovative artificial intelligence techniques based on unsupervised learning, with the purpose of processing information without the need to associate each sample to its corresponding ground truth, therefore removing an important constraint that typically reduces the amount of usable data. The introduction of innovative and unsupervised techniques enabled the possibility to process large quantities of data using adaptive algorithms, with limited operational constraints, at the same time maintaining a high accuracy in the results. In particular, recent advances in the field of unsupervised generative models for data analysis and representation learning have been studied and analyzed. Moreover, the research activities resulted in the realization of methods for the adaptive, intelligent, and unsupervised extraction of highly-discriminant data representations with a limited feature dimensionality, for learning models using the inner data structure and not the ground truth, and for interpreting the data transformation process, with the purpose of simulating heterogeneous acquisition conditions.
The innovative techniques have been successfuly applied for signal and image processing in different application scenarios. In particular, the proposed methods include innovative, intelligent, and unsupervised algorithms based on Deep Learning and Convolutional Neural Networks for processing palmprint images, for the high-accuracy recognition of individuals in security applications. The proposed techniques also include innovative and unsupervised artificial intelligence algorithms based on Generative Adversarial Networks and Explainable Artificial Intelligence for interpreting the aging process in face images. The research also focused on designing and realizing an innovative and unsupervised method based on Autoencoders to extract highly-discriminant representations from general purpose images, enabling a classification of the samples with high accuracy, at the same guaranteeing a low dimensionality of the feature space.

9.2. Analysis of biomedical images

The research activities regarded the design and realization of innovative methologies and software algorithms based on multidimensional signal processing and artificial intelligence techniques for the introduction of automated biomedical system, able to classify histopathological images captured with low-cost sensors. In particular, the research focused on the design and realization of original methods based on Deep Learning, Convolutional Neural Networks, Explainable Artificial Intelligence, and transfer learning for the high-accuracy classification of tumoral cells affected by Acute Lymphoblastic Leukemia, by considering low-dimensionality image databases of white blood cells. Moreover, the research focused on the design and realization of innovative methods based on Deep Learning, Convolutional Neural Networks, Reinforcement Learning, and semantic segmentation for the analysis and classification of X-ray chest scans, with the purpose of detecting the presence of COVID-19 using a fast and scarcely intrusive procedure.

9.3. Industrial and environmental informatics

The research has regarded the design and realization of innovative analysis methodologies, original hardware systems, and novel software algorithms for the monitoring, prediction, measurement, and adaptive classification of features extracted from multi-dimensional signals in industrial and environmental applications. The proposed solutions enabled to obtain high-accuracy results using low-cost acquisition technologies able to work at high distances, reducing operational and environmental constraints and enabling a remote deployment and an increased ease of management. In particular, the research has been carried out in the industrial and environmental areas.

  • Industrial informatics
    Innovative algorithms and methods based on multidimensional signal processing, three-dimensional models, and computational intelligence techniques have been studied and realized for the quantitative and qualitative analysis of materials and industrial processes using signals and images captured at high distances. Specific algorithms and methods have been studied and realized for the monitoring of the production process of strand boards with low environmental impact and for the measurement of the volume of the objects captured using multiple view systems. The proposed methods have also been validated with the deployment of a prototype in a factory. Moreover, the research activities focused on the study and realization of innovative pattern recognition approaches based on signal and image processing and on artificial intelligence techniques, with a specific focus on autonomous driving applications. In this context, the research focused on original methods based on Deep Learning, Convolutional Neural Networks, Autoencoders, and Explainable Artificial Intelligence to analyze the driver's attention level, by considering semantic segmentation techniques applied on images captured by a vehicle-mounted camera and methods for estimating the distance of objects in the scene without requiring additional sensors. Moreover, the research focused on methods based on Convolutional Neural Networks and photoplethysmography to perform a continuous monitoring of the driver's attention level.

  • Environmental informatics
    Innovative algorithms and methods based on multidimensional signal processing, computational intelligence techniques, and simulation techniques have been studied and realized for environmental monitoring and prediction systems. In particular, the research has been focused on advanced methods for wildfire detection systems based on the analysis of frame sequences captured at high distances using low-quality cameras and on the prediction of renewable energy using only weather forecasts or the information of energy unbalance in smart grids. Privacy issues and solutions in environmental monitoring systems have also been considered.

9.4. Biometric systems

In the field of biometric systems, the research activities have regarded the design and realization of innovative solutions consisting in original hardware systems, software algorithms, and biometric methodologies for recognizing individuals in security applications using physiological traits and soft biometric features. The proposed methods enabled to reduce operational constraints of traditional biometric systems and allow a high-accuracy recognition using touchless, less-constrained, and high-usability acquisition procedures. In particular, the research focused on touchless and less-constrained biometric systems and on high-usability touch-based systems.

  • Touchless and less-constrained biometric systems
    In this context, the activities have been focused on innovative touchless and less-constrained acquisition procedures with a high usability, on new methods for the encoding of signal and images with a high level of noise, and on original methods for the comparisons of identities. In particular, different biometric traits have been studied.

    • Touchless and less-constrained fingerprint recognition
      Innovative hardware systems, algorithms and biometric methods have been studied and realized for the recognition of fingerprints captured using less-constrained acquisition procedures, without the contact of the finger with the sensor. A particular focus has been given on the techniques for the processing of three-dimensional models for real-time identity comparisons and forensic applications. Methods for the extraction and analysis of features from samples captured using a single camera, mobile devices, as well as captured from heterogeneous sources, have been studied and realized. Methods for the quality estimation and the generation of synthetic of three-dimensional models have also been proposed.

    • Touchless and less-constrained palmprint recognition
      Innovative hardware systems, algorithms and biometric methods have been studied and realized for the recognition of palmprints captured using touchless and less-constrained acquisition procedures, without the contact of the hand with any surface. A specific focus has been given to novel Deep Learning-based techniques using original Convolutional Neural Networks, designed to extract highly-discriminative biometric features from palmprint images, trained using innovative unsupervised procedures. Original techniques based on Convolutional Neural Networks for the fusion of palmprint and finger texture features have also been proposed to increase the accuracy of the biometric recognition. The research also focused on new techniques for processing three-dimensional models and using pattern recognition methods for comparing samples captured with different positions and orientations.

    • Touchless and less-constrained recognition using soft biometric traits
      Innovative hardware systems and algorithms, based on multidimensional signal processing and computational intelligence techniques, have been studied and realized for the estimation of the weight of walking individuals in surveillance applications using touchless and un-obtrusive acquisition procedures. Multidimensional signal processing and computational intelligence techniques have also been used to estimate the age of the individuals using face images captured using un-obtrusive procedures. Explainable Artificial Intelligence techniques have been studied to analyze the learning process of Deep Learning-based methods that use Generative Adversarial Networks to synthetically age face images.

    • Less-constrained iris recognition
      The research focused on studying the problems related to iris recognition and user tracking in security contexts, using public-domain images present on the internet and social media. To this purpose, the research activities also included the collection and publication of the first database, available to the public, of iris samples extracted from face images captured in less-constrained conditions and from images freely downloadable from the internet. The research acitivities included also the realization of an innovative methodology to ensure the biometric anonymization of the iris in such images, at the same time maintaining a high visual realism of the obtained images.

  • Highly-usable touch-based biometric systems
    Recent advances in biometric recognition for Automated Border Control (ABC) systems have been studied along with emerging technologies. Innovative algorithms and original biometric methods based on multidimensional signal processing and computational intelligence techniques have been studied and realized for a more accurate, fast, and highly-usable touch-based fingerprint recognition in new-generation Automated Border Control systems. In these applications, the research has focused on multimodal biometric systems, on techniques for the classification of acquisition problems affecting fingerprint images, and on methods for biometric score normalization.

See also the Research page.

10. Publications

See the Publications page.