Training school on Digital forensics: evidence analysis via intelligent systems and practices


WHAT: Traning School 
WHEN: 15-19 February, 2021
WHERE: Budapest (Hungary)


Training School focused on Mathematics, Computer Science and Digital Forensic tools. The trainees will mainly be young students in order to achieve the needed knowledge and capacities in order to fostering the synergies among Digital Forensics and Artificial Intelligence/Automated Reasoning researchers and, in parallel, achieve the main goals of the Action.

Increase the knowledge and capacities of PhD Students and ECI of the Action on Mathematics, Computer Science and Digital Forensic, and fostering the synergies among Digital Forensics and Artificial Intelligence/Automated Reasoning researchers.

Grant Period Goal(s) it will address
G1. Continue introducing researchers in AI and Automated Reasoning to the main issues and problems in the daily work of digital forensics scientists and the technical, legal and criminological aspects they involve. (O1, O7),G2. Identify more relevant test data for researching. Define more challenges to encourage to researchers in AI and Automated Reasoning to develop some solutions. (O2, O5),G4. Continue creating synergies between Digital Forensic Challenges and AI and AR. (O3 and O4)

Program of the Summer School

Place: Budapest (Hungary)

Venue: to be announced


  • 08:00-08:30 Registration
  • 08:30-09:00 Welcome from COST Action CA17124
  • 09:00-11:00 presentation (to be announced)
  • 11:00-11:30 Break
  • 11:30-13:30 presentation (to be announced)
  • 13:30-14:30 Lunch


  • 09:00-11:00 presentation (to be announced)
  • 11:00-11:30 Break
  • 11:30-13:30 presentation (to be announced)
  • 13:30-14:30 Lunch
  • 15:30-17:30 Tutorial 1: Nanni Bassetti: Introduction to digital forensics, theory, examples with open source tools and some ideas and examples of machine learning


  • 09:00-11:00 presentation / 5th Working Group Meeting (to be announced)
  • 11:00-11:30 Break
  • 11:30-13:30 presentation / 5th Working Group Meeting (to be announced)
  • 13:30-14:30 Lunch
  • 15:30-17:30 Tutorial 2: Stevan Gostojic: Autopsy Tutorial


  • 09:00-11:00 presentation / 5th Working Group Meeting (to be announced)
  • 11:00-11:30 Break
  • 11:30-12:30 Tutorial 3 (part I): Raffaele Olivieri: Evidence analysis through the Answer Set Programming 
  • 12:30-13:30 Tutorial 3 (part II):  Tania Cerasella: Artificial Intelligence between ethical and constitutional profile. The algorithm in judicial decisions : some cases of comparative law in comparison
  • 13:30-14:30 Lunch
  • 15:30-17:30 Tutorial 4: Francesca A. Lisi: Introduction to Inductive Logic Programming


    • 09:00-11:00 Tutorial 5: Paolo Rosso: Author profiling for text forensics: evidence stylometry analysis via intelligent systems
    • 11:00-11:30 Break
    • 11:30-12:30 Tutorial 6: Andrii Shalaginov: Digital Evidences Analysis of embedded devices and IoT Forensics 
    • 12:30-13:30 Tutorial 6: Igor Kotsiuba: Digital Forensic Readiness, practical frameworks for CyberSecurity & Investigation Capability Building

    Short CV of the teachers


    Nanni Bassetti

    Dr. Nanni Bassetti has a degree in Computer Sciences got at University of  Bari and is a digital forensics and cyber security consultant. He has collaborated as a freelancer with many national and international computer science magazines and he was teacher for many courses at institutions, schools and universities, he has also written two books about digital forensics and IT security. Founder of CFI – Computer Forensics Italy – the largest Italian computer forensics community and Secretary of ONIF an important Association dedicated to digital forensics. Project manager of Caine Linux Live Forensic Distro. Curator of the site dedicated to software for computer forensics and others themes like machine learning and encryption.


    Stevan Gostojić

    Prof. dr Stevan Gostojić holds a Ph.D. in electrical and computer engineering from University of Novi Sad. He is an associate professor of applied computer science and informatics at Faculty of Technical Sciences in Novi Sad and a court appointed IT expert witness. Stevan is the head of the Digital Forensics Laboratory at Faculty of Technical Sciences in Novi Sad founded to support teaching, research and provision of digital forensics services. He is a court appointed IT expert witness from 2014, mainly working as a digital forensics examiner in the fields of computer forensics, mobile forensics, and application forensics.


    Raffaele Olivieri

    Ph.D. in Information Engineering and Computer Science at the University of L’Aquila, and employed since 2001 in the Digital Forensics laboratory of Italian Carabinieri. I am one of the main proponents of the European Cost Action DigForASP CA17124 (“Digital forensics: evidence analysis via intelligent systems and practices”), aimed to study and develop new techniques based on Artificial Intelligence for Digital Forensics and Investigations as well as Leader of the “WG1: Digital Forensics requirement analysis” of the same Cost Action.


    Tania Cerasella

    Graduated in Law from the Universitá degli Studi di Roma “La Sapienza”; casation lawyer at the Rome Bar; graduated in Vatican archival at the Schola Vaticana de Re Palaeographica diplomatica archivistica -Civitae Vaticana; member of the research group in neurobioethics (GDN) and member of the research neurolaw subgroup (GDN) a the Pontificical University Regina Apostolorum – Rome; speaker in the Neurobioethics specialization course “neurobioetica e transumanismo” 2017/2018 -edition I-Pontificical University Regina Apostolorum – Rome; speaker in the Neurobioethics specialization course “neurobioetica e roboetica” 2018/2019 -edition II-Pontificical University Regina Apostolorum – Rome; speaker in the Neurobioethics specialization course “neurobioetica e intelligenza artificiale” 2019/2020 -edition III-Pontificical University Regina Apostolorum – Rome; master lecturer in philosophical consultancy and existencial anthropology at Eutopean University in Rome -2020; author of the book “Profumo di vita (la gioia di donarse”)”, participation in numerous conferences as speaker,; participation in the Networking Congress organized by the “European Center for legal Cooperation”.


    Francesca A. Lisi

    Francesca A. Lisi, PhD holder in Computer Science (curriculum of Artificial Intelligence), is currently an Adjoint Professor at the Dept. of Computer Science of the University of Bari (Italy) where she teaches “Database Design” to undergraduate students, and “Information Systems” and “Knowledge Representation and Reasoning” to graduate students. Since her PhD studies, Francesca’s research has been characterized by the cross-fertilization of results obtained in different areas inside AI, in particular the areas of Machine Learning and Knowledge Representation, and also outside AI, notably in the fields of Databases and Computational Logic. As an expert of Inductive Logic Programming (ILP), she has investigated several logic-based methods for learning and mining in complex domains, with applications to Geographic Information Systems, Knowledge Engineering and the Semantic Web. With reference to her research in ILP, Francesca was awarded with the 2006 Cyc Prize for the best research proposal and has been often invited to give talks at prestigious foreign institutions (e.g., TU Dresden and Imperial College London) and tutorials in international conferences (e.g., ESWC 2007, ECML/PKDD 2007, AAAI 2010, ICLP 2015). She is (co-)author of about 100 scientific articles published in journals and peer-reviewed conference proceedings. Francesca serves as PC member in major international AI conferences such as IJCAI, AAAI and ECAI. She has organized several scientific events, also at the international level. In particolar, she was co-organizer and PC co-chair of the 20th International Conference of Inductive Logic Programming (Florence, 27-30 June 2010) and the 16th International Conference of the Italian Association for Artificial Intelligence (Bari, 14-17 Nov. 2017).  Francesca is elected member of the Executive Board of the Italian Association for Artificial Intelligence (AIxIA) since 2013, and of the Italian Chapter of the Association for Logic Programming (GULP) since 2009. Partly under the patronage of AIxIA, she is active in dissemination of AI-related scientific knowledge, by organizing or participating in public events. In 2019 Francesca joined the Management Committee of the COST Action DigForASP as a substitute member for Italy. In DigForASP she also plays the role of Science Communication Manager.


    Paolo Rosso

    Paolo Rosso is full professor at the Universitat Politècnica de València, Spain. His research interests focus mainly on author profiling, irony detection, fake reviews detection, plagiarism detection, and recently hate speech and fake news detection. Since 2009 he has been involved in the organisation of PAN (a series of scientific events and shared tasks on digital text forensics and stylometry) benchmark activities at CLEF and at FIRE evaluation forums, mainly on author profiling and plagiarism/text reuse detection. This year, he is involved in the organisation of the PAN task on Profiling fake News Spreaders on Twitter. At SemEval he has been co-organiser of shared tasks on sentiment analysis of figurative language in Twitter (2015), and on multilingual detection of hate speech against immigrants and women in Twitter (2019). He is co-ordinator of the activities of the IberLEF evaluation forum. He is also involved in a project funded by Qatar National Research Fund on author profiling for cyber-security. He serves as deputy steering committee chair for the CLEF conference and as associate editor for the Information Processing & Management journal. He has been chair of *SEM-2015, and organisation chair of CERI-2012, CLEF-2013 and EACL-2017. He is the author of 400+ papers, published in journals, book chapters, conference and workshop proceedings. He gave several tutorials on plagiarism detection at ICON (2010), on author profiling and plagiarism detection at RuSSIR (2014), and on author profiling in social media at RANLP (2015), FIRE (2016) and CLiC-it (2018) addressing mainly age, gender, personality, and native language identification.


    Andrii Shalaginov

    Dr. Andrii Shalaginov is a Postdoctoral Researcher in Information Security / Digital Forensics at the Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). Andrii had been awarded PhD degree in Information Security from NTNU in February 2018. His PhD research was devoted to the development of new Soft Computing methods for Digital Forensics applications. During the last decade, Andrii has been working with cybercrime investigation, intelligent malware detection in particular. His primary expertise is in static and dynamic malware analysis, development of machine learning-aided intelligent computer viruses detection models and similarity-based categorization of cyberattacks in the Internet of Things. Further, Andrii has been serving as a cybersecurity researcher/consultant for the UNICRI / EUIPO on malware analysis on copyright-infringing websites. He is also nominated representative from Norway at the COST Action CA17124 “DigForAsp – Digital forensics: evidence analysis via intelligent systems and practices”. Moreover, Dr. Shalaginov is member of “Impact of Technology” Expert Group hosted by European Union Intellectual Property Office Observatory with specialization in Artificial Intelligence, Digital Forensics and Internet of Things. In 2018 Andrii together with NTNU team received 1st place award in the “Future of Smart Policing” thinkathon competition by INTERPOL Global Complex for Innovation (Singapore). From before, Andrii is LE-1 / LPIC-1 certified and has a range of industry experience, including Samsung R&D Center.


    Igor Kotsiuba

    Dr. Igor Kotsiuba has served for more than a decade in industry and academia and has completed numerous transnational projects with leading players in Cybersecurity and Industrial IoT. Dr. Kotsiuba is a counsellor in government and industry and founder at cybersecurity agency iSolutions and established a digital forensics lab in Ukraine to build capacity and restore the rule of law in cyberspace. Igor is an evangelist of an inclusive approach to delivering full-stack cybersecurity managed services from initial compromise assessments to digital forensics evidence verifications. He has been advising Ukrainian Businesses and Governmental Institutions on Cybersecurity issues, In the year 2018 Igor Kotsiuba was elected as a Head of Cybersecurity Work Group at the American Chamber of Commerce Ukraine. Igor is an Of Counsel at Asters and supports their team in Brussels on ongoing Joint Activities in European Parliament.


    Training School Committee

    • Aleksandra Dedinec (coordinator)
    • Andrii Shalaginov
    • David Pearce
    • Jesús Medina
    • Pedro Cabalar
    • Raffaele Olivieri
    • Stefania Costantini
    • Szilvia Nagy

    Local Organizing Committee

    • To be announced