Domenico MUNDO is a Full Professor at the Department of Mechanical, Energy and Management Engineering, University of Calabria. His research focuses on mechanical transmissions, vehicle dynamics, vibration analysis, and mechatronic systems. As Head of the Dynamics of Mechanical Systems Lab and Department Deputy for Research, he leads multiple EU-funded projects. PhD in Computational Mechanics (2004) 5-year Degree in Mechanical Engineering cum Laude (1999) Research interests span: Design of advanced mechanical transmissions Noise & vibration characterization in composite materials Kinematic synthesis for automotive and rehabilitation applications Multibody simulation techniques for vehicle dynamics Recent publications emphasize biomechanical rehabilitation devices and composite material modeling. He has coordinated major EU projects like DEMETRA (€1.235M) and INTERACTIVE (€1.344M), focusing on transmission optimization and vehicle concept modeling. Active in editorial roles (Mechanism and Machine Theory) and international conferences, he supervises 9 PhD students and 13 research fellows.
Giuseppe Carbone is an Associate Professor at the Department of Mechanical, Energy and Management Engineering , Università della Calabria. His research focuses on robotics, mechatronics, and mechanical systems for rehabilitation and wearable devices. Research Areas: Dynamics of mechanical systems (vibration control, energy recovery) Biomedical mechatronic tools and virtual reality applications Kinematic design of mechanisms and flexible multibody formulations Recent Publications explore rehabilitation robotics, 3D-printed wearables, and actuator innovations. He collaborates on projects involving genetic algorithms for biological sample handling and dynamic fixing systems for robotics. Laboratories include the MATTER - STAR prototyping lab and the Dinamica dei Sistemi Meccanici research infrastructure.
Michele Perrelli is a Researcher at the University of Calabria , affiliated with the Department of Mechanical, Energy and Management Engineering . His work bridges robotics, biomedical engineering, and applied mechanics, focusing on innovative rehabilitation technologies and mechanical system optimization.
Arkaitz Zubiaga is a Senior Lecturer (Associate Professor) at Queen Mary University of London, where he co-leads the Social Data Science lab and serves as Director of Graduate Studies. He is also part of the leadership team of the Centre for Human-Centred Computing. His research sits at the intersection of Computational Social Science and Natural Language Processing, focusing on developing NLP and LLM methods for processing social media and Web data to tackle societal harms. Zubiaga's research interests concentrate on addressing problematic issues with damaging societal effects, including hate speech, misinformation, inequality, biases, and other forms of online harm. He investigates how LLMs can be misused for malicious purposes such as spreading misinformation, generating abusive content, or exacerbating societal biases. His work emphasizes detecting and addressing irresponsible AI use where content is falsely claimed to be human-generated. His publication record shows a clear trend toward addressing bias in detection systems, particularly in cyberbullying detection where swearing bias has been identified as a critical issue. His recent work explores zero-shot and few-shot learning approaches for cross-lingual applications, stance detection, and claim verification. The research spans multiple disciplines including computational linguistics, social computing, and AI ethics, with a growing focus on multimodal approaches and longitudinal model evaluation. 2024 OSNEM best survey award for work on session-based cyberbullying detection Zubiaga actively mentors PhD students, with Peiling Yi recently passing her viva (April 2025) and welcoming new PhD students Alaa Bazaid and Ali Khairallah. He serves as senior area chair for ACL 2025 and leads the HYBRIDS MSCA Doctoral Network. His work demonstrates a strong commitment to developing responsible AI systems that can detect and mitigate online harms while addressing critical issues of bias and fairness in computational approaches.
Evgenia Christoforou is a Research Fellow at CYENS Centre of Excellence (formerly known as RISEup), specifically within the TAG MRG research group in Nicosia, Cyprus. Previously, she held a postdoctoral position at Politecnico di Torino, Italy, and during her PhD studies was employed by IMDEA Networks Institute in Madrid, Spain. Her educational background includes: PhD in Mathematical Engineering from Universidad Carlos III de Madrid (2017) Master's degree in Computer Science from University Cyprus (2012) Dr. Christoforou's research primarily focuses on improving quality and increasing reliability in crowdsourcing environments, with particular attention to data bias generated through crowdsourcing. She has also investigated mechanisms for imposing fairness conditions among rational players without monetary incentives and studied the performance of ranking algorithms operating under noisy comparisons. Her work bridges theoretical computer science with practical applications in human-computer interaction and data analysis. Her recent publications demonstrate a strong focus on algorithm design for ranking systems, pandemic-related data analysis, and visual content interpretation. The work shows a consistent theme of addressing reliability and bias issues in data collected through human input, with applications spanning from theoretical network science to real-world pandemic response. Her notable scientific achievements include: Best Thesis Award from her department during PhD studies for "Achieving Reliability and Fairness in Online Task Computing Environments" FPU Scholarship from the Spanish Ministry of Education, Culture and Sports (MECD) Membership in IEEE professional organization During her academic career, Dr. Christoforou has been involved in significant research projects, including a six-month internship at MIT during her PhD studies. She has contributed to multiple interdisciplinary research efforts that combine theoretical computer science with practical applications in data analysis and human-computer interaction, demonstrating strong methodological rigor and relevance to contemporary challenges. She is currently part of the TAG MRG research group at CYENS, which focuses on technology, algorithms, and graphics-related research with applications in interactive media and emerging technologies, contributing to the center's mission of advancing smart systems research in the Eastern Mediterranean region.
Professor Matt Jones is a leading computer scientist at Swansea University and IT Livery Company Professor of Information Technology at Gresham College (2025–present). His research focuses on human-centred digital technologies, with applications in mobile information systems, pedestrian navigation, and inclusive AI design. Key collaborations include Swansea colleagues Jen Pearson, Simon Robinson, and Thomas Reitmaier International partnerships with Dani Raju (India) and Minah Radebe (South Africa) Current funding from EPSRC/UKRI including a Fellowship for interactive AI research His work emphasizes responsible AI and human-in-the-loop systems , addressing ethical challenges in AI governance and societal integration. He actively explores: Trustworthiness and explainability in AI systems Impacts of AI-human fusion on human agency Design processes for equitable digital futures Notable lectures include: "Born Supremacy – AI as a Pale Shadow of Real Humanity" (2026) "Taming AI" (2026) on regulatory frameworks "Becoming AI – Your Journey to Assimilation?" (2025) He serves on the Foreign and Commonwealth Development Office’s Research Advisory Group and Welsh Government’s AI reviews.
Robin May is the Gresham Professor of Physic (2022–present), Chief Scientific Adviser at the Food Standards Agency (FSA), and Professor of Infectious Disease at the University of Birmingham. His career focuses on human infectious diseases, pathogens, and their interactions with host organisms. Education: Early training in Plant Sciences at the University of Oxford, followed by a PhD in mammalian cell biology from University College London and the University of Birmingham (2005). Professor May's research spans human infectious diseases, pathogen survival mechanisms, and immunology. His work integrates microbiology, technology, and computational approaches to address challenges in public health and disease prevention. He holds prestigious fellowships, including the Academy of Medical Sciences, Wolfson Royal Society Research Merit, and the American Academy of Microbiology. These accolades reflect his contributions to advancing medical and microbiological sciences.
Gian Marco Revel is a Professor at Marche Polytechnic University (Università Politecnica delle Marche), affiliated with the Faculty of Engineering and the Department of Industrial Engineering and Mathematical Sciences. His academic role centers on mechanical and thermal measurements (scientific sector IMIS-01/A), with extensive contributions to sensor systems development and structural health monitoring applications. Based at Via Brecce Bianche in Ancona, Italy, Professor Revel maintains active research leadership while teaching within the university's engineering programs. Professor Revel's research program demonstrates remarkable breadth across multiple engineering domains while maintaining focus on measurement science fundamentals. His work bridges traditional mechanical engineering with cutting-edge applications in sustainable construction, elderly care technology, and structural monitoring systems. Key research thrusts include the development of non-invasive sensor networks for human activity recognition, advanced techniques for construction waste characterization, and innovative approaches to thermal property measurement. His methodology consistently integrates metrological rigor with practical engineering solutions, particularly evident in his work on uncertainty analysis in measurement systems and calibration of novel sensing technologies. Recent projects show increasing sophistication in combining multiple sensor modalities with artificial intelligence for complex measurement challenges. An analysis of Professor Revel's recent publication trajectory reveals a strategic expansion from fundamental measurement techniques toward interdisciplinary applications addressing societal challenges. His 2024-2025 publications show strong emphasis on translating engineering measurement principles into healthcare solutions (particularly for elderly care and dementia monitoring) and sustainable construction practices. The research demonstrates evolving integration of artificial intelligence with traditional metrology, especially in structural health monitoring and activity recognition systems. While maintaining core expertise in mechanical and thermal measurements, his work increasingly addresses real-world problems like construction waste management, building energy efficiency, and aging-in-place technologies through collaborative, multidisciplinary approaches. Professor Revel leads several significant research initiatives including the GUARDIAN ecosystem for elderly care and the SOCIO-BEE project for citizen science air quality monitoring. His laboratory activities focus on sensor development, system integration, and practical field validation of measurement technologies. Current projects indicate active collaboration across engineering disciplines and with healthcare professionals, particularly in developing non-invasive monitoring solutions for aging populations. His work on the e-VITA virtual coaching system demonstrates commitment to creating practical technology solutions that improve quality of life while maintaining scientific rigor in measurement and validation.
Fabio Abbattista is an Associate Professor at the University of Bari Aldo Moro (UniBA), affiliated with the Department of Computer Science. His teaching activities include courses on Programming, Computer Science Laboratory, and Video Game Development for the three-year degree program in Computer Science. Teaching Activities: Programming Computer Science Laboratory Video Game Development Office Hours: Tuesdays from 4:00 PM to 5:00 PM in room 666 of the Department of Computer Science.
Oronzo Altamura is a Lecturer in the Department of Computer Science at the University of Bari Aldo Moro. He can be contacted via telephone at +390805443273 (extension 3273) and by email at oronzo.altamura@uniba.it. His research interests align with the Department of Computer Science, encompassing broad and specific areas such as Artificial Intelligence, Data Science, Software Engineering, Human-Computer Interaction, and Networks. No further details about his academic activities, publications, or awards are provided in the available information.
Fanny Ficuciello serves as an Associate Professor of Robotics at the University of Naples Federico II, concurrently directing the SUR Lab at the ICAROS Centre (Interdepartmental Centre for Advances in Robotic Surgery) and the Biomimetic and Biohybrid Robotics Lab (B2RL) within the Department of Electrical Engineering and Information Technology (DIETI). Her academic foundation includes a Laurea degree earned magna cum laude in Mechanical Engineering followed by a PhD in Computer and Automation Engineering, both completed at the University of Naples Federico II. Research priorities center on surgical and rehabilitation robotics with emphasis on human-robot interaction dynamics. She pioneers biomechanical design methodologies and bio-aware control frameworks for anthropomorphic systems, while advancing grasping and manipulation capabilities in medical robotics contexts. This work bridges engineering precision with biological sensitivity to enhance robotic applications in clinical environments. Scientific Awards: No awards or honors are referenced in the provided documentation. Advising and Grants: While laboratory leadership implies graduate student mentorship and research funding oversight, specific advisees, grant titles, or funding amounts remain undocumented in the source material. Laboratory operations are anchored in two specialized facilities: the SUR Lab drives innovation in robotic surgical techniques through the ICAROS Centre, while the B2RL at DIETI develops biomimetic and biohybrid robotic systems that emulate biological structures and functions for medical applications.
Mariagrazia Fugini is a full Professor of Computer Engineering at Politecnico di Milano's Department of Electronics, Information and Bioengineering. Her office is located at Building 20, Floor 1, Room 105, Piazza Leonardo da Vinci 32, 20133 Milano, Italy. Research Focus: Her work spans: Core domains: Data security, enterprise systems, and digital public services Emerging intersections: AI ethics, human-robot interaction, and geospatial-temporal analytics Applied research: Risk management frameworks and assistive technologies for smart environments Projects & Collaborations: She leads EU initiatives like WorkingAge (2019-2022) and partners with institutions worldwide including: University of California-Berkeley Technical University of Vienna Luxembourg Institute of Science and Technology Research Council of Norway Teaching (2024-2025): Information Systems (BSc Computer Science) Digital Security Management (MSc Management Engineering) Computer Engineering Project (BSc Geoinformatics)
Giorgio Stefano Gnecco is a Full Professor in Mathematical Methods of Economics and of Actuarial and Financial Sciences at IMT School for Advanced Studies Lucca, where he works within the Analysis of compleX Economic Systems (AXES) research unit. His academic career spans multiple disciplines including optimization, machine learning, game theory, and their applications in economics, finance, and engineering. His research interests focus on optimization applied to actuarial sciences, economics, finance, and engineering; game theory; statistics; machine learning theory and applications; causal inference for economic policy evaluation; and environmental economics. His work demonstrates interdisciplinary connections between mathematical theory and practical applications across diverse fields, with particular emphasis on developing computational methods for complex economic systems. His publication record shows consistent output across multiple domains, with recent work spanning machine learning algorithms, image processing techniques, economic modeling, and applications in music performance analysis. The breadth of his research indicates strong methodological foundations in mathematical optimization and statistical learning, applied to problems ranging from flood hazard assessment to Parkinson's disease classification. Among his notable achievements are five Italian National Scientific Qualifications for professorial positions in various fields, demonstrating his recognized expertise across multiple academic disciplines. He serves as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems, Action Editor for Neural Networks, and Associate Editor for Neurocomputing. Professor Gnecco leads numerous research projects including the "PRIN PNRR 2022" project "MOTUS - Automated Analysis and Prediction of Human Movement Qualities," the "INdAM-GNAMPA 2023" project on machine learning methods for Shapley Value estimation, and the "ROBOFARM" project on edge computing for precision agriculture. He has coordinated multiple international research collaborations between Italy and France through the Galileo program. His research unit (AXES) focuses on complex economic systems analysis, with applications spanning environmental economics, financial systems, and human movement analysis. The collaborative nature of his work is evident through his extensive network of domestic and international collaborators across multiple universities and research institutions.
Barbara Henry is a full Professor of Political Philosophy at the Sant'Anna School of Advanced Studies (SSSUP) in Pisa, Italy. She has held research and lecturing positions at numerous international institutions, including the University of Bochum, Humboldt University of Berlin, and Peking University. Her scholarly work focuses on German classical philosophy, political judgment, hermeneutics, and posthuman studies. She currently coordinates the PhD program in Human Rights and Global Politics at SSSUP and leads the Laboratory in Global Security and Human Rights. Research Interests: German classical philosophy and Neokantianism Political and cultural globalization Philosophy of technology and digital ethics Posthumanism and artificial life studies Intercultural political theory Collaborations and Leadership: Former Director of the Confucio Institute in Pisa Member of scientific committees for 'Politica e società', 'Iride', and 'Rivista Italiana di Filosofia Politica' Participated in European research programs and Jean Monnet projects
Dr. Damiano Perri serves as an Adjunct Professor in the Department of Mathematics and Computer Science at the University of Perugia. With a strong background in computer science research and teaching, his work spans multiple cutting-edge domains with practical applications. His academic profile demonstrates a consistent commitment to both theoretical research and real-world implementation. His research interests encompass a broad spectrum of computer science disciplines including Virtual Reality, Augmented Reality, Artificial Intelligence, Cloud Computing, Machine Learning, High Performance Computing, Quantum Computing, and Health Informatics. His work often bridges multiple domains, such as applying VR/AR technologies to healthcare problems like Visual Snow Syndrome treatment, or combining quantum computing principles with machine learning approaches. Professor Perri's publication record shows consistent output with 37 publications spanning from 2018 to projected 2026, demonstrating his active research trajectory. His work appears in high-impact venues including IEEE Access and Lecture Notes in Computer Science, often in collaboration with colleagues like Osvaldo Gervasi and Marco Simonetti. His research has evolved from foundational work in parallel computing and VR to increasingly interdisciplinary applications including health informatics and quantum computing. As an educator, Professor Perri has supervised numerous students, contributing as co-author to 7 master's theses and 52 bachelor's theses since 2019. He teaches several courses including Elements of Computer and Operating System Architecture, Virtual and Augmented Reality Laboratory, Computer Networks: Protocols, and Informatics across different degree programs. He serves as the technical manager of the LibreEOL project since 2015, which appears to be an important electronic assessment platform used at the university. Additionally, he is currently participating in a PRIN research project focused on analyzing Italian language corpora using artificial intelligence techniques. Professor Perri has developed several practical tools to support teaching and research, including a Confusion Matrix generator, Timezones tool, Countdown Timer, Banker's Algorithm solver, Money Calculator, and Break Timer. These tools reflect his commitment to practical applications of computer science concepts and enhancing the educational experience.
