Mic'hela Bertozzi is a Research Fellow at the Department of Interpretation and Translation of the University of Bologna, with academic ties to the Forlì campus. She holds the National Scientific Qualification as an associate professor in the Spanish Language, Translation, and Linguistics sector. Her roles include teaching interpreting, tutoring, and research. Education: PhD in Translation, Interpreting, and Intercultural Studies (2018) Master's in Conference Interpreting (Forlì, 2011) Bachelor's in Applied Interlinguistic Communication (Forlì) Research focuses on Anglicisms in interpreting/translation , remote interpreting technologies , pedagogy for interpreters , and corpus-based analysis . She co-leads the Shift in Orality project and contributes to the Interdisciplinary Research Group on Interpreting (GRIINT) . Teaching spans conference interpreting , dialogical interpreting , and intercultural communication across undergraduate and graduate programs. She also serves as an educational tutor for linguistics mediation students. Professional experience includes 14+ years as a freelance conference interpreter and translator, specializing in technical and publishing sectors. She is a member of AISPI, Tradinfo, and other professional associations.
Giorgio Taricco is a Full Professor at the Department of Electronics and Telecommunications (DET) of Polytechnic University of Turin. His research focuses on 6G communications, information theory, and MIMO systems, with expertise spanning telecommunications, signal processing, and wireless communication. He leads the Advanced techniques for digital transmission (CommGroup) research group and has been a Scientific Responsible for multiple projects, including EU-funded MASCOT and HICCUP, and commercial contracts like JEANS and NEXT GEN DATALINK. Research Interests: 6G networks, MIMO systems, information theory, satellite communication, energy-efficient coding Notable Projects: MASCOT (2006-2009), HICCUP (2002-2003), JEANS (2022-2024), WORK ITEM 4.4 (2024-2025) His recent publications analyze secrecy energy efficiency in metasurface-aided networks, IRS-NOMA for integrated sensing, and advanced precoding techniques, reflecting trends in wireless security and next-generation communication systems. As an IEEE Fellow since 2010, he contributes to editorial boards, including Entropy (2025-). He supervises PhD students like Agbotiname Lucky Imoize and Aysegul Ilay Tunali, integrating education with cutting-edge research in telecommunications.
Alessandro Checco is an Assistant Professor in the Computer Science Department at University of Rome La Sapienza. His research focuses on crowdsourcing, distributed systems, and privacy-preserving technologies, bridging theoretical computer science with practical applications that consider human factors in technological systems. He has established himself as a significant contributor to the field of human computation and privacy-aware systems. His educational background includes: 2020: Fellowship of Higher Education from The University of Sheffield, Higher Education Academy 2015: Ph.D. in Mathematics from Hamilton Institute (Design of decentralised algorithms applied to channel/code selection and convex optimisation for throughput fairness of 802.11 networks) 2010: M.Sc. in Mathematical Engineering from University of Roma "Tor Vergata" (110/110 with great distinction) 2009: Erasmus Scholarship at Universiteit Gent, Department of Telecommunications 2007: B.Sc. in Mathematical Engineering from University of Roma "Tor Vergata" (110/110 with great distinction) Checco's research spans multiple areas at the intersection of computer science and social implications of technology. He is particularly interested in Crowdsourcing for Human Computation, Distributed Private Recommender Systems, Information Retrieval, Data Privacy, Distributed Systems, User Data Obfuscation in Web Systems, Societal and Economic Analysis of Online Work, Crowd Workers Unionisation, and Algorithmic Bias. His work often examines how technological systems can be designed to respect user privacy while maintaining functionality, and how crowd work can be structured to be more equitable for workers. His recent publications demonstrate a clear evolution in research focus, beginning with foundational work in wireless networks and distributed algorithms, then shifting toward human computation and privacy-preserving systems. His most recent work increasingly addresses the societal implications of crowd work, including investigations into crowd worker unionization and cooperative models. Several publications examine gender bias in algorithmic systems, reflecting growing attention to fairness and ethical considerations in his field. Among his notable achievements: All That Glitters is Gold-An Attack Scheme on Gold Questions in Crowdsourcing (Best Paper Award) Checco has secured significant research funding and led important projects including the H2020-funded FashionBrain project as Research Director and the EPSRC-funded BetterCrowd project as Research Associate. His work on the FashionBrain project demonstrates his ability to lead large-scale, interdisciplinary research initiatives. He has also received the Technology Innovation Development Award (TIDA) from Science Foundation Ireland. His research has practical applications across multiple domains including recommendation systems (BLC: Private Matrix Factorization Recommenders), peer review assistance using AI, smart farming technologies, and cooperative models for crowd workers (CrowdCO-OP). He has developed frameworks for understanding worker behavior in crowdsourcing platforms and created methods for improving quality control in human computation systems.
Matteo Di Tullio serves as a Visiting Associate Professor in the Department of Social and Political Sciences at Bocconi University, maintaining his primary academic appointment as Associate Professor at the University of Pavia. He actively teaches the course 'Economic History' (code 30067) for the 2025/2026 academic year, contributing to Bocconi's social sciences curriculum through institutionally recognized faculty channels. His scholarly focus centers on Economic History, examining long-term economic evolution through interdisciplinary lenses spanning Economics, Historical Analysis, and Political Science. This research integrates socio-political contexts with economic development patterns, emphasizing historical methodologies to understand contemporary economic systems and policy frameworks within broader social science paradigms. No scientific awards or honors are documented in the available institutional records. Academic mentorship activities and research grant acquisitions remain unspecified in current university materials, with teaching responsibilities constituting his primary documented contribution at Bocconi. The absence of elaborated supervision roles suggests a teaching-focused visiting engagement. Operational research infrastructure including laboratories, dedicated teams, or collaborative projects is not referenced in the provided faculty profile, indicating a teaching-centric appointment without specialized research facilities at Bocconi.
Alessandro Massolo serves as a Full Professor in the Department of Biology at the University of Pisa, specializing in Zoology (scientific-disciplinary sector BIOS-03/A). His academic role encompasses teaching, research, and departmental responsibilities within the university's biological sciences framework. His research focuses on core zoological disciplines including animal physiology, taxonomy, ethology, and biodiversity studies. As a leading scholar in Zoology, Professor Massolo contributes to advancing fundamental biological knowledge through empirical research and academic collaboration. His work bridges classical zoological methods with contemporary biological research approaches. Professor Massolo maintains active communication channels for academic inquiries through his official university email alessandro.massolo@unipi.it and telephone (+39 050 2211383). His office is physically located at Via Luca Ghini 13 in Pisa (postal code 56126), serving as his primary institutional base for research supervision and academic administration.
Antonio Parisi serves as a Researcher in the Department of Economics and Finance at the Faculty of Economics, University of Rome Tor Vergata. His academic work centers on economic statistics within the SECS-S/03 sector, contributing to both research and teaching missions of the institution. For the 2025-2026 academic year, he instructs "Coding for Economic Applications" for Master's students and "Quantitative Methods I" for undergraduate programs. His research portfolio emphasizes Economic Statistics as the foundational discipline, with specialized expertise in Bayesian Inference for probabilistic modeling, Statistical Theory and Methods for econometric frameworks, and Computational Methods for algorithmic implementation. This triad of interests positions him at the intersection of theoretical statistics and practical economic data analysis. Available for student consultations on Thursdays at 11am during class sessions or by prior arrangement, Dr. Parisi maintains office presence in Room 59. Direct communication channels include email antonio.parisi@uniroma2.it and telephone extension 5914, facilitating academic collaboration and mentorship within the department's vibrant scholarly community.
