Mirko Marras was born on April 19, 1992 in Iglesias (Italy). He is a Postdoctoral Researcher in Computer Science at the Department of Mathematics and Computer Science of the University of Cagliari (Italy). He received a PhD in Computer Science in 2020 and a MSc Degree in Computer Science (summa cum laude, 18 months) in 2016, from the same University. He received the Computer Science Engineering certification from the University of Pisa (Italy) in 2016.
In 2015, he was involved as Researcher within UnitelCagliari (Italy) for the ELIOS project (MIUR, 1ME). In 2017, he spent five months as Visiting Scholar at EURECAT (Spain), collaborating with the Data Science and Big Data Analytics Unit on the DECODE project (EU, 16P, 5ME). In 2018, he spent three months as Visiting Scholar within the University Institute for Intelligent Systems and Digital Applications in Engineering (SIANI) at the Universidad de Las Palmas de Gran Canaria (Spain). In 2019, he spent two months at the Department of Computer Science and Engineering of the New York University: Tandon School of Engineering (U.S.A). He has been involved as Researcher in the ILEARNTV project (MIUR, 6P, 10ME) since 2018. From 2019, he is referral of the University of Cagliari (Italy) for two work packages under the EDUC project (EU, 6P, 5ME). Since 2017, he has been teaching assistant for the “Computer Networks” course provided to BSc students in Computer Science. Furthermore, he has supported several BSc and MSc students in Computer Science during their thesis preparation since 2018.
In 2014, he was recognized as the best third-year student of the BSc Program in Computer Science of the University of Cagliari (Italy). In 2016, he was recognized as the best MSc student of the Faculty of Science and one of the top 12 MSc students of the same University. In 2018, he got to the podium of the Call for Visionary Ideas - Education Section event organized by Nesta Italia. He has received the Best Poster Award at the European Semantic Web Conference 2017 (ESWC2017), the Demo Honorable Mention at The Web Conference 2018 (WWW2018) and the Best Paper Award at Didamatica Conference 2018. He has been awarded two Erasmus+ PlaceDoc scholaships to spend 5 months at EURECAT (Spain) and 3 months at Universidad de Las Palmas de Gran Canaria (Spain), respectively. Moreover, he has been awarded a GlobusDoc scholarship to spend 2 months at New York University: Tandon School of Engineering (U.S.A).
His research interests focus on Data Mining, Machine Learning, and Deep Learning approaches, mostly applied to biometric systems, recommender systems, and knowledge-aware systems, with education and healthcare environments as main applicative contexts. He has co-authored papers in top-tier international journals, such as Pattern Recognition Letters (Elsevier), Computers in Human Behavior (Elsevier), and IEEE Cloud Computing. He has given talks and demostrations at several conferences and workshops, such as TheWebConf 2018, ECIR 2019, INTERSPEECH 2019. He has been involving in the program committee of the main Technology-Enhanced Education conferences, such as AIED, EDM, ITICSE, ICALT, UMAP. He has been also acting as a reviewer for top-tier journals, such as Pattern Recognition Letters and IEEE Transactions on Image Processing. He has been part of the local organizing committee of SITIS 2018. He has been co-chairing the Bias 2020 workshop on algorithmic bias in search and recommendation at ECIR 2020. He is member of several associations, including CVPL, AIxIA, IEEE, and ACM.
PhD in Computer Science, 2020
University of Cagliari (Cagliari, Italy)
Visiting PhD Student, 2019
New York University (New York, USA)
Visiting PhD Student, 2018
Universidad de Las Palmas de Gran Canaria (Las Palmas de Gran Canaria, Spain)
Visiting PhD Student, 2017
EURECAT (Barcelona, Spain)
MSc in Computer Science (cum laude), 2016
University of Cagliari (Cagliari, Italy)
Feb 1, 2020: Our tutorial entitled “Hands on Data and Algorithmic Bias in Recommender Systems” has been accepted at 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2020).
Jan 15, 2020: Our paper entitled “Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews” has been accepted at 1st Workshop on Smart Personal Health Interfaces (SmartPhil 2020).
Nov 01, 2019: I will be involved as a WP referral in the European Digital UniverCity (EDUC) project, a joint initiative of the University of Potsdam (Germany), Université de Rennes 1, Université Paris-Nanterre (France), Masaryk University (Czech Republic), University of Cagliari (Italy), and University of Pécs (Hungary), selected by the European Commission to envision one of the first European Universities. Please visit the project website for more information.
Oct 03, 2019: I will be co-organizing the 1st International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020) to be held as part of the 42nd European Conference on Information Retrieval (ECIR 2020). Please visit the workshop website for more information.
Oct 02, 2019: Our paper entitled “Deep Multi-Biometric Fusion for Audio-Visual User Re-Identification and Verification” has been accepted for publication in the Springer’s book “Selected Papers from the 8th International Conference on Pattern Recognition (ICPRAM 2019)”.
Jun 17, 2019: Our paper entitled “Adversarial Optimization for Dictionary Attacks on Speaker Verification” has been accepted at The 20th Annual Conference of the International Speech Communication Association (INTERSPEECH 2019).
May 24, 2019: Our book chapter entitled “Deep Learning Adaptation with Word Embeddings for Sentiment Analysis on Online Course Reviews” has been accepted for publication in the Springer’s book “Deep Learning based Approaches for Sentiment Analysis”.
May 06, 2019: Our paper entitled “Servizi Intelligenti per il Tracciamento e l’Elaborazione di Dati Multi-Biometrici in Piattaforme di Apprendimento Digitale” has been accepted at Didamatica – Didattica e Informatica (DIDAMATICA2019).
Mar 05, 2019: Our contributions have been accepted at the Convegno Nazionale CINI sull’Intelligenza Artificiale (ITAL-IA2019). The first one is entitled “Sistemi Multi-Biometrici per l’Autenticazione Continua e Trasparente per l’Accesso a Servizi di Erogazione Contenuti”, while the second one is entitled “Analisi e Mitigazione del Pregiudizio Algoritmico nei Sistemi di Raccomandazione di Contenuti Didattici”.
Jan 09, 2019: Our paper entitled “AveRobot: An Audio-Visual Dataset for People Re-Identification and Verification in Human-Robot Interaction” has been accepted at The 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019).
Section 1: Organization and Participation as a Speaker at National and International Events
Section 2: Research Collaborations and Exchanges at National and International Level
Section 3: Reviewing Activities for National and International Conferences and Journals
Section 4: Research Awards, Grants and Memberships at National and International Level
EDUC aims to establish a collaborative, inclusive, integrated and efficient governance that will build on and contribute to the mutual trust between, and the involvement of, our six universities in all areas, from bottom to top. Thematic working groups involving all stakeholder groups at all organisational levels of our European Digital UniverCity will address topics such as Mobility and Exchange Scenarios, European Skills and Competencies Sustainability and Outreach. EDUC will also establish new communication and coordination flows which will allow the different university services to collaborate horizontally and, ultimately, harmonize work flows. Structures will be brought together in order to establish direct communication between the different services inside the universities – such as international offices, student and research administration offices, and centers for students with special needs.
ILEARNTV will promote the evolution of school communities towards a new paradigm based on shared knowledge and collaborative production. In order to support the current transition phase experienced by over 700,000 teachers in Italy, ILEARNTV will define new models for their training inside an innovative platform as well as new methods for providing multi-channel digital learning content via PCs, tablets and smartphones. Within an advanced Software-as-a-Service Learning Content Management System (LCMS), the Cloud infrastructure will be responsible of managing hardware resources, while the software infrastructure will provide the platform’s application functions to end users. Learning material will be indexed into a digital repository and made available for re-use. Collaborative creation of multi-format and multi-media training content will be based on predefined and customizable templates. In this way, ILEARNTV will support teachers in facing the current technological changes, reducing costs and time generally required for their traditional training.
DECODE will increase digital sovereignty of European citizens by enabling them to produce, access and control their data and exchange contextualised information in real-time, and in a confidential, and scalable manner. DECODE will develop a modular privacy-aware IoT hub with a free and open source operating system backed by a state of the art blockchain infrastructure supporting smart-contracts and privacy protections.The architecture will be demonstrated through four pilots in Barcelona and Amsterdam, in the field of digital democracy, citizen sensing, and collaborative economy. The pilots will be run with the active involvement of social entrepreneurs, hackers, and makers. Innovators will be able to build solutions on top of the platform through hackathons and open challenges, while ensuring their security, resilience and privacy preserving qualities. This aims to create a decentralised innovation ecosystem that will attract a critical mass able to shift the current centralised data-driven economy towards a decentralised, sustainable and commons-based economy. DECODE puts agency and data control in the hands of citizens, to improve citizens’ well-being and society for the collective benefit of all.
ELIOS will promote the adoption of e-learning within the University of Cagliari. With ELIOS, students will be able to attend one of the following degree programmes in blended-learning settings: (i) Administration and Organization, (ii) Cultural Heritage and Entraitainment, (iii) Economics and Business Administration, (iv) Electrical Electronic and Computer Engineering. Students enrolled within ELIOS will share the same study programmes and final exams taken by traditionally-enrolled students. Moreover, they will receive the same qualification at the end of the programme. Large part of the courses will be available online through a dedicated Learning Management Systems (LMS), anywhere, any time. The LMS will also provide both asynchronous and synchronous learning tools. Students within ELIOS will benefit from a multi-channel technical assistance service aimed at supporting them during distance learning activites.
Thesis Assistance, University of Cagliari (Italy)
Final Project Assistance, Ney York University (U.S.A.)
EURECAT - Technology Center of Catalonia (Spain)
Fondazione Bruno Kessler (Italy)
Joint Research Centre European Commission (Italy)
Lattanzio Advisory (Italy)
Lattanzio Learning (Italy)
New York University (U.S.A.)
University of Cagliari (Italy)
University of Las Palmas de Gran Canaria (Spain)
University of Salerno (Italy)