جست‌وجوی استاد و پژوهشگر

• Corpus-Assisted Discourse Analysis
• Legal Communication
• Political Communication
• +۶ مورد دیگر

Giovanni Garofalo is a Full Professor of Spanish Language and Translation at the Department of Foreign Languages, Literatures, and Cultures at the University of Bergamo. He held previous positions as Associate Professor (2014–2020) and Assistant Professor at the University of Trieste (2004–2008) and the University of Bergamo (2008–2014). His research focuses on corpus-assisted discourse analysis , legal and political communication , and the discursive construction of gender in Spanish . University of Bergamo Department of Foreign Languages, Literatures, and Cultures Garofalo’s research explores specialized fields, including Spanish legal communication in criminal law, legislative language, and terminography. He has authored monographs on these topics and investigates argumentation across business , medicine , and politics . His recent publications analyze textual complexity, hate speech, and urban heritage discourses. Key trends in his work include the intersection of corpus linguistics with legal/political discourse, gender representation in Spanish media, and interdisciplinary collaborations with Spanish universities. Garofalo is a member of the Center for Research on Specialized Languages (CERLIS) and associations like AISPI and AELINCO . His teaching emphasizes Spanish discourse analysis , textual genres, and argumentation frameworks. Students engage with real-world texts and are trained in pragmatic and metadiscursive skills at C1+ proficiency. Garofalo’s methodological approach combines theoretical lectures with practical analysis via e-learning platforms.

• GIS
• Remote Sensing
• Digital Twin
• +۱۳ مورد دیگر

Luigi La Riccia is a researcher at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) within Politecnico di Torino . He specializes in GIS, remote sensing, and digital twins for environmental planning, with a focus on landscape and territorial resilience. Research Interests : Digital twins, participatory GIS, blue/green infrastructure, climate action, sustainable cities Teaching Roles : PhD and master’s courses in urban and regional development (2024/25-2019/20) His work addresses the intersection of geospatial technologies and sustainable development goals (SDG 11, 13, 14, 15). Recent research explores semi-supervised LiDAR segmentation, ecological networks in marginal areas, and climate-adaptive urban design. Articles highlight innovations in satellite big data analysis and AI-driven tools for territorial planning. Scientific Awards : Agritecture and Landscape Awards - Expo Milan (2015) Erasmus+ KA2 Strategic Partnerships (2019) He contributes to editorial boards and international conferences (e.g., IUCN World Conservation Congress, Urban E-Planning conferences). His projects include Turin3D, Turin digital twins, and SDG11Lab initiatives.

• Work & Organisational Psychology
• Human-Computer Interaction
• Eye Tracking
• +۶ مورد دیگر

Patrik Pluchino is an Assistant Professor at the Department of Psychology, University of Padua, affiliated with the Human Inspired Technology Research Centre. His research focuses on cognitive processes in human-computer interaction, psychophysiological measures of attention, and IoT applications in workplace and living environments. He investigates attention allocation, multimedia learning, and ethical decision-making through eye-tracking and neurophysiological methods. Research interests include cognitive workload assessment using EEG/ERP, IoT systems for safety and sustainability, and VR-based training for disaster response. He leads projects like SAFE GYMS and DOMHO, developing smart solutions for elderly care and workplace safety. His work bridges psychology, technology, and design to enhance human-centered systems in Industry 5.0 contexts. Pluchino collaborates on EU-funded initiatives addressing aging workforce needs and accessible technologies for disabled users. His publications span 20+ years, emphasizing interdisciplinary approaches to human factors, educational technology, and assistive systems. Key contributions include studies on attentional blink, implicit learning mechanisms, and ethical behavior through attention dynamics.

• Numerical Abilities in Animals
• Visual Perception in Primates
• Non-symbolic Numerical Estimation
• +۳ مورد دیگر

Christian Agrillo is an Associate Professor at the Department of General Psychology, University of Padova. His research focuses on numerical cognition across species, visual perception in primates, and the psychology of music. He investigates how non-human animals (e.g., zebrafish, guppies) and humans perceive numerical quantities, spatial relationships, and visual illusions. Recent work includes studies on musical perception in professionals and susceptibility to illusions in domestic animals like dogs and cats. His research spans comparative psychology, behavioral ecology, and cognitive neuroscience. Key topics include quantity discrimination in fish, color discrimination in piranhas, and the application of operant conditioning in larval zebrafish. He collaborates on environmental enrichment strategies for captive fish using visual illusions. Agrillo’s articles explore cross-species perceptual mechanisms, emphasizing methodological rigor in studying animal cognition. His work bridges basic science with applied topics like animal welfare and music psychology.

Vincenzo Deufemiaمشاهده پروفایل

استاد

• Cybersecurity
• IoT Security
• Data Analytics
• +۷ مورد دیگر

Vincenzo Deufemia is a Full Professor at the Department of Computer Science of the University of Salerno . His work focuses on cybersecurity, IoT security, data analytics, machine learning, and end-user development in smart environments. He has been actively involved in interdisciplinary research spanning database systems, human-computer interaction, and ethical AI applications. Key research interests include: Automation rule security and coherence Unsupervised learning for IoT interference detection End-user customization of smart systems Functional dependency discovery in data streams Social media analysis for geopolitical perception studies Recent work has explored leveraging generative AI for ethical phishing defense mechanisms and developing tools like EFESTO-5W for non-expert security rule specification. His contributions also include visualization frameworks for dependency analysis and spatial integrity constraints verification. No formal awards are explicitly listed in the provided material, though his extensive publication record indicates significant contributions. His research has practical applications in both academic and industrial contexts, particularly in improving end-user security awareness and system usability in smart environments.

Egidio Faloticoمشاهده پروفایل

استادیار

• Robotics
• Biorobotics
• Computational Neuroscience
• +۴ مورد دیگر

Egidio Falotico is a Tenure Track Assistant Professor (RTD-B) at the BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy. He leads the BRAin Inspired Robotics (BRAIR) Lab and holds roles such as Principal Investigator (PI) for the PROBOSCIS project and co-leader of Sub-Project 10 (Neurorobotics) in the Human Brain Project (HBP). His research focuses on brain-inspired motor control, soft robotics, and neurorobotics, integrating computational neuroscience with robotic systems. Education: Dual PhD in Biorobotics (Scuola Superiore Sant’Anna) and Cognitive Science (University Pierre et Marie Curie). Master’s in Computer Science (University of Pisa). Research interests include control mechanisms for soft robots using AI, bio-inspired motor control, and neuroscientific principles applied to robotics. He has contributed to projects like HBP, where he developed the Neurorobotics Platform, and PROBOSCIS, aiming to create elephant-trunk-inspired robots. Teaching includes leading PhD courses on Brain-Inspired Motor Control and Robotics at the University of Pisa. He has supervised EU-funded students and managed interdisciplinary teams in neurorobotics and soft robotics. Key projects involve HBP’s Neurorobotics Platform, soft robot control (e.g., PROBOSCIS), and collaborations in sensorized systems and adaptive learning algorithms. His work bridges neuroscience, AI, and robotics to advance soft robotic systems and bio-inspired models.

Fausto Marincioniمشاهده پروفایل

استاد

• Disaster Risk Reduction
• Environmental Geography
• Climate Change Adaptation
• +۴ مورد دیگر

Fausto Marincioni is a Full Professor at the Department of Life and Environmental Sciences (University of Marche) with expertise in disaster risk reduction, climate change, and socio-environmental vulnerability. His research focuses on geohazards, flood management, and participatory methodologies for risk mitigation. He leads the Disaster Risk Reduction Laboratory and actively contributes to EU projects like LIFE PRIMES. His work integrates geospatial analysis, policy evaluation, and community engagement to enhance resilience in vulnerable regions. Research interests include: Geo-hydrological hazards and risk perception Climate adaptation strategies in coastal and urban areas Emergency management systems and crowd-sourced data applications Socio-economic dimensions of disaster resilience Disaster education and shared leadership models Publications highlight interdisciplinary approaches to flood simulation, landslide modeling, and policy integration for SDG implementation. He advocates for geoethics principles in environmental decision-making and has advised on disaster preparedness for universities and hospitals. His office hours are held at the Disaster Risk Reduction Lab, focusing on collaborative research and student mentorship.

Milena D'Angeloمشاهده پروفایل

دانشیار

• Quantum Imaging
• Quantum Optics
• Photonics
• +۳ مورد دیگر

Milena D'Angelo is an Associate Professor in the Department of Physics at the University of Bari (UniBA). She leads the Quantum Optical Technologies Lab, established through national competitive projects, which integrates experimental activities into the long-standing quantum research group at UniBA and INFN. Her work focuses on quantum imaging, including quantum optical lithography, ghost imaging with chaotic light, and correlation plenoptic imaging, with 5 patent applications. She has published over 55 papers, accumulating 1,700+ citations. Education: B.Sc. in Physics (UniBA, 1999); Ph.D. in Physics (University of Maryland, Baltimore County, 2004). Research Interests: Quantum imaging technologies, correlation-based imaging systems, plenoptic microscopy, and applications in quantum metrology. Her lab explores robust imaging techniques against environmental disturbances and develops high-resolution volumetric imaging methods. Recent work emphasizes GPU-based data processing, hyperspectral imaging, and turbulence-resistant systems. She has contributed to projects like the Qu3D initiative for quantum 3D imaging devices, advancing remote sensing and Earth observation applications. Her experimental innovations include light-field microscopy with correlated beams and correlation plenoptic tomography. Labs/Teams: Quantum Optical Technologies Lab (QuOTLab), collaborating on national and international projects to bridge quantum foundations with applied imaging technologies.

• Artificial Intelligence
• Multi-Agent Systems
• Robotics
• +۴ مورد دیگر

Stefania Monica is an Associate Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia. She specializes in Artificial Intelligence, Multi-Agent Systems, Robotics, and Programming Languages. Her research focuses on topics such as agent interaction protocols, indoor positioning algorithms, and agent-oriented programming (Jadescript). She teaches courses on Artificial Intelligence, Data Science, Web Technologies, and IoT. Recent work includes studies on stigmergic interactions in multi-agent systems and 3D indoor positioning using optimization algorithms. Her contributions span theoretical frameworks (e.g., kinetic models) and practical implementations (e.g., Jadescript language enhancements for robustness and interoperability). Research interests emphasize synergy between AI and robotics, with applications in localization, swarm intelligence, and neural-symbolic learning. Teaching responsibilities include managing engineering courses on data science, information systems, and IoT development. She actively contributes to academic conferences and journals, curating special issues on computational logic and agent-based systems.

• General Pedagogy
• Social Pedagogy
• Philosophy of Education
• +۸ مورد دیگر

Manuela Gallerani is a Full Professor in the Department of Education Studies at the University of Bologna. She holds a Ph.D. in Education Sciences and teaches General Pedagogy and Theory and Models in Lifelong Learning at the School of Education Sciences. She has been a Chair of Cestriell (Lifelong Learning Centre) since 2015 and is a member of CSGE at the University of Bologna. Her research focuses on theoretical and empirical aspects of critical rationalism in Pedagogical Problematicism, intercultural education, and lifelong learning dynamics. Education: She earned her Ph.D. in Education Sciences and completed research doctorate studies at Humboldt University Berlin. She has held adjunct professor roles at the University of Bolzano and Urbino. Her international collaborations include partnerships with UCLA, Humboldt University Berlin, and Voralberg University. Research Interests: Her work bridges philosophy of education with practical didactics, emphasizing ethical education, intercultural curricula, and adult learning. Key themes include active citizenship through integrated educational systems, gender differences in educational processes, and the concept of 'care' in Medical Humanities. Publications: Over 20 books and chapters, including seminal works on ethical pedagogy and intercultural education. Recent articles focus on lifelong learning frameworks and gender dynamics in educational contexts. Awards: Awarded the prestigious Abilitazione Scientifica Nazionale-ASN for Full Professor in 2015. She has held multiple scholarships including Research Doctorate, Post-Doctorate, and CNR grants.

• Cognitive Psychology
• Neuroscience
• Artificial Intelligence
• +۴ مورد دیگر

Andrea De Cesarei is a Full Professor at the Department of Psychology 'Renzo Canestrari' at the University of Bologna. His research focuses on cognitive processes, emotional perception, and the intersection of artificial intelligence with human behavior. He holds office hours on Fridays 9-11 AM at the Department of Psychology in Bologna, with virtual availability via Teams. His work spans disciplines including cognitive neuroscience, environmental psychology, and AI ethics. Key research interests include: cognitive control mechanisms during scene categorization, emotional responses to natural stimuli, and behavioral drivers behind sustainable choices. He also explores how humans and AI systems process visual information differently, with recent projects involving AI trustworthiness and autonomous planning systems. Recent publications highlight his contributions to understanding neural correlates of emotion (via ERP and EEG studies), the role of spatial frequencies in perception, and motivational factors in pro-environmental behavior. His lab develops tools like the VISTO device for precise exposure time measurement in experiments. Teaching responsibilities include courses on perception and experimental psychology, with active involvement in student disability research methodologies. He maintains an ORCID profile and is accessible via email for scheduling consultations.

Pietro De Lellisمشاهده پروفایل

دانشیار

• Complex Networks
• Automatic Control
• Synchronization and Consensus
• +۷ مورد دیگر

Pietro De Lellis is an Associate Professor of Automatic Control at the University of Naples Federico II, Italy. He holds a PhD in Automation Engineering (2009) from the same institution and has held visiting roles at NYU Polytechnic School of Engineering, including a Visiting Professorship (2010) and Postdoctoral Fellowships (2012–2014). His academic roles also include Adjunct Professor at the Italian Air Force Institute of Technology (2010–2014). His research focuses on complex networks, synchronization, control, and co-evolving systems in finance and biology, with collaborations at NYU and international institutions. Education: PhD in Automation Engineering (2009), University of Naples Federico II. Visiting scholar at NYU Polytechnic Institute (2009). Postdoctoral fellowships funded by Forgiare (2010), MASTRI (2012), and NYU projects on collective behavior and robotics. Research interests span analysis/synchronization of complex networks, collective behavior in animal groups, formation control, co-evolving financial networks, partial control strategies, and networks of discontinuous systems. Recent projects include the ACROSS initiative on stochastic systems and evolving networks. His work bridges theoretical control with experimental validation (e.g., Chua’s circuits experiments). Publications reflect interdisciplinary focus: synchronization in networks, pinning control algorithms, and applications to financial markets, robotics, and epidemiological modeling (e.g., 2020 Italian COVID-19 network analysis). Active in grants and collaborations, including EU-funded projects and industry partnerships. Teaching includes courses on system analysis and control of complex systems at the University of Naples. Labs: NYU Dynamical Systems Lab (collaborations), Electrical Engineering Lab (experimental setups).

• Machine Learning
• Financial Risk Management
• Artificial Intelligence
• +۶ مورد دیگر

Paola Cerchiello is a Full Professor of Statistics at the University of Pavia, Italy. She specializes in integrating machine learning and statistical methodologies into financial risk assessment, ESG analysis, and healthcare management. Her research focuses on topics such as credit risk modeling, cryptocurrency dynamics, greenwashing detection, and the socio-economic impacts of pandemics. She leads the PERISCOPE European project (2020–2023), assessing pandemic impacts, and co-leads the xAIM initiative (2021–2024), developing AI-driven healthcare management programs. Her teaching includes 'Big Data Analysis' in the Master in International Business and Management (MIBE) and 'Machine Learning' at the University of Pavia. She has contributed to over 100 publications since 2009, emphasizing Bayesian models, network analysis, and text mining in finance and public policy. Notable projects include developing tools for real-time pandemic monitoring (PERISCOPE Atlas) and analyzing systemic risk in banking systems through network modeling. Her work bridges academic research with practical applications, addressing global challenges in financial stability, environmental sustainability, and healthcare equity. She collaborates extensively with European institutions on projects like the EU Health Emergency Response Authority impact assessment and anti-corruption compliance frameworks in public administration.

• Intra-Body networks
• 5G Radio Technologies
• Cognitive Radio Networks
• +۳ مورد دیگر

Anna Vizziello serves as Assistant Professor at the Department of Industrial and Information Engineering, University of Pavia, specializing in intra-body networks, 5G radio technologies, and cognitive radio systems. Selected as an EU Commission expert since 2013, she actively referees research proposals and contributes to global telecommunications standards through IEEE committees. Her educational foundation includes a Laurea in Electronic Engineering and Ph.D. in Electronics and Computer Science, both from the University of Pavia. International research experience spans Northeastern University (2023, 2016, 2011), Georgia Tech's Broadband Wireless Lab (2009-2010), and UPC Barcelona (2009-2010), building on earlier work at EUCENTRE on emergency communications. Dr. Vizziello's research program bridges theoretical innovation with practical implementation. Her intra-body communication testbed—requiring only two PCs, a cable, and electrodes—enables accessible experimentation in neural interfaces and implantable devices. In 5G/mmWave systems, she pioneered Kalman-based hybrid precoding techniques that optimize spectral efficiency while reducing hardware complexity. Current investigations integrate neuromorphic computing with wireless networks to achieve unprecedented energy efficiency in biomedical telemetry. Recent publications reveal converging trends across biomedical wireless systems (galvanic coupling for EMG transmission), AI-enhanced communications (spiking neural networks for data compression), and environment-aware networking (weather-impacted LoRaWAN forecasting). These works demonstrate her signature approach: solving real-world constraints through cross-disciplinary innovation. Her recognition includes: N2Women Rising Star in Networking (2018) ACM NanoCom Best Paper Award (2021) Top-Cited Internet Technology Letters Paper (2019-2020) Outstanding Research Visitor at Northeastern University (2015-2016) As N2Women Award Co-chair (2021) and TPC member for 40+ conferences (IEEE ICC, GLOBECOM), she actively shapes the field. Her IEEE senior membership spans WIE and Green Communications committees, while tutorial invitations (IEEE MELECON, LATINCOM, CCNC) highlight her thought leadership in intra-body networks. Though specific grants aren't detailed, her extensive conference leadership and award record indicate substantial research funding. Collaborative frameworks include Northeastern University's GENESYS Laboratory and Georgia Tech's Broadband Wireless Networking Lab, where she develops open-source testbeds shared via IEEE and Code Ocean. Future work targets neural communication interfaces and beyond-6G satellite-terrestrial integration.

• High Performance Computing
• Grid Computing
• Cloud Computing
• +۷ مورد دیگر

Giovanni Aloisio is a Full Professor of Information Processing Systems at the Department of Innovation Engineering, University of Salento, Italy. He is a leading figure at the Euro-Mediterranean Center on Climate Change (CMCC), where he serves as Director of the Supercomputing Center and Director of the Scientific Computing and Operations (SCO) Division. He is also a member of CMCC’s Governance bodies, including the Strategic Council and Executive Committee. His research focuses on High Performance Computing (HPC) , grid and cloud computing , and distributed data management . He has played a pivotal role in major European and international initiatives such as the European Grid Forum (Egrid), the EU FP7 IS-ENES projects, the European Exascale Software Initiative (EESI), and the International Exascale Software Project (IESP). His work bridges advanced computing infrastructure with Earth system modeling and climate science. Recent publications highlight a strong trend toward integrating HPC simulations , big data analytics , and machine learning in climate science. His team develops tools like PyOphidia for scalable data analytics and explores AI-driven methods for weather and climate modeling, pandemic forecasting, and environmental data downscaling. The research spans interdisciplinary domains including climate modeling, epidemiology, and environmental health. He has authored over 100 peer-reviewed journal articles. His leadership in EU-funded projects and international working groups, such as the ENES HPC Task Force and the WCES Working Group, reflects his significant contributions to the scientific community. He leads the HPC laboratory at the University of Salento and oversees advanced computing operations at CMCC. His work supports large-scale scientific workflows, climate data spaces within the European Open Science Cloud, and the convergence of HPC, AI, and data analytics.