Alessio Lugnan is an Assistant Professor at the Department of Physics, University of Trento, specializing in photonic neural networks and neuromorphic computing. His research bridges nonlinear dynamics, silicon photonics, and machine learning. Research Focus: Photonic neural networks, reservoir computing, and biologically plausible learning models. Technologies: Silicon microring resonators, integrated photonics, and all-optical memory systems. Recent publications highlight his work on leveraging nonlinear dynamics in photonic systems for advanced signal processing, image classification, and memory retention. He explores the intersection of optical computing and machine learning to enhance computational efficiency. Collaborations include Lorenzo Pavesi, Stefano Biasi, and Alessandro Foradori, focusing on scalable photonic architectures. No explicit awards, grants, or student advisement details are available in the provided text.
Giorgio Bacci is an Associate Professor of Contemporary Art History at the Department of History, Archaeology, Geography, Arts and Entertainment (SAGAS) at the University of Florence. He currently serves as National Coordinator of the PRIN 2022 project BorderArt(E)Scapes. Contemporary Art, Anthropology and Borderscapes and is a member of the UNIFI unit within the CHANGES Partnership funded by PNRR-PE5. His academic career includes positions at the Scuola Normale Superiore (2008-2012, 2017-2018), fixed-term researcher (2012-2017), and teaching appointments at the University of Turin, Academy of Fine Arts in Bologna, IED in Turin, and Alma Artis Academy in Pisa. His research focuses on contemporary art, with particular emphasis on border studies, migration, the relationship between art and literature, and illustration from the 19th to 21st centuries. Bacci has curated numerous exhibitions including Manuele Fior. Viaggio a colori (2024), Simone Bianchi. L'arte dei supereroi (2023), Igort. Attraversare le forme (2023), and Hyper-modern Dante. Illustrations of Dante throughout the world 1983-2021 (2021-2022), among many others. His scholarly work demonstrates how visual culture engages with contemporary social and political issues, particularly through the lens of borders and migration. Bacci serves on the scientific committees of several peer-reviewed journals including Ceramica e Arti Decorative del Novecento , L'Illustrazione. Rivista del libro a stampa illustrato , and Visual History. Rivista internazionale di storia e critica dell'immagine . His recent publications reveal a consistent scholarly trajectory examining how contemporary art engages with historical narratives, cultural identity, and social transformation, particularly through the lens of borders and migration. As an academic advisor, Bacci has supervised award-winning theses at the University of Turin, including Martina Furno's Infanzie e Nazioni. Immagini e testi per ragazzi tra Francia e Italia (1930-1940) (2017) and Giulia Scrocchi's La pubblicità tra arte e immagini a larga circolazione: il caso Fiat nel secondo dopoguerra (2016), both of which won the Premio Piemonte Letteratura. His current research projects include the PRIN 2022 project examining border landscapes through interdisciplinary methodologies combining art history and anthropology.
Lerina Aversano is an Associate Professor in the Department of Engineering (DING) at the University of Sannio, specializing in Information Processing Systems (ING-INF/05). Her research focuses on the intersection of business processes and information technology, with particular expertise in business/IT alignment, process mining, and machine learning applications. Her research interests include: Business/IT alignment and strategic integration Machine learning and deep learning applications in healthcare diagnostics Process mining and predictive analytics for business processes Software engineering and service-oriented computing Semantic integration of heterogeneous data sources Over her extensive career, Aversano has published 145 research items with a clear evolution from foundational work in business/IT alignment to cutting-edge applications of AI in healthcare and business process management. Her most recent publications demonstrate expertise in explainable AI for process prediction, AI applications in medical diagnosis (including Parkinson's and thyroid diseases), and security for IoT systems, showing her ability to adapt to emerging technologies while maintaining focus on core alignment issues between business needs and technological solutions. She maintains an active research group with frequent collaborations with Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, and Maria Tortorella, producing significant contributions to information systems literature. Her work appears in reputable venues including IEEE conferences, Springer publications, and journals like Information and Software Technology.
Rossella Maspoli is an Associate Professor in Architectural Technology at the Department of Architecture and Design (DAD), Polytechnic University of Turin, where she has been a lecturer since 1995. She holds a PhD in "Building and Environmental Restoration" (1992) and has led numerous research and urban regeneration initiatives, including the UNESCO Creative City nomination for Turin and the Torino Automotive Heritage Network (TAHN). She is actively involved in PhD programs, editorial boards, and international heritage organizations. Her educational background includes a PhD in Building and Environmental Restoration (1992). She has held teaching and leadership roles in multiple master's and PhD programs at institutions including the University of Padua, University of Chieti-Pescara, and Polytechnic-COREP. Her research focuses on industrial heritage, sustainable urban regeneration, public space design, and the cultural valorization of automotive heritage . She investigates historical-technological analysis, adaptive reuse, pandemic-resilient urban living, and co-design methodologies. Her work emphasizes participatory approaches, social inclusion, and environmental sustainability in urban transformation. Her recent publications explore themes such as the symbolic value of industrial heritage, reinforced concrete in early automotive factories, post-pandemic urbanism, and the integration of public art in urban regeneration. These works reflect a consistent focus on industrial archaeology, urban resilience, and heritage tourism, bridging historical analysis with contemporary design innovation. Among her scientific recognitions is being named a Fellow of The International Committee for the Conservation of the Industrial Heritage (2012–2023). She also serves on the editorial committee of Industrial Heritage and has held advisory roles in cultural organizations. She supervises PhD students including Yuxuan Liu and Giacomo Girocchi , and has led externally funded research projects such as the PLAN National Pepper Fair and the Lingotto Automotive Heritage initiative. Her teaching spans architectural technology, cultural heritage, and sustainable design at both undergraduate and graduate levels. She leads the "Portici d’Artista" and "Arte in Transito" projects in Turin’s Borgo San Secondo, which use public art and community mapping to regenerate urban spaces. These initiatives involve collaboration with the Albertina Academy of Fine Arts, local associations, and municipal authorities, emphasizing co-design and civic engagement.
Prof. Fabio Galasso is a Full Professor in the Department of Computer Science at Sapienza University of Rome, where he heads the Perception and Intelligence Lab (PINLab). His research focuses on fundamental innovation in computer vision and machine learning, with particular emphasis on distributed intelligent systems, perception frameworks, and general intelligence within sustainable and interpretable AI contexts. His research interests span multiple domains of computer vision including video segmentation , motion forecasting , distributed intelligent systems , and shape reconstruction . Galasso's work emphasizes sustainable AI approaches that operate within constrained computational resources while maintaining interpretability and verifiability. His research bridges theoretical foundations with practical applications across retail, smart cities, and industrial settings. His recent publications demonstrate a clear progression toward increasingly complex human motion understanding and forecasting, with a strong emphasis on real-world applications. The research trajectory shows movement from foundational video segmentation techniques toward sophisticated motion prediction systems and anomaly detection frameworks that integrate multiple modalities. Key themes include temporal consistency, computational efficiency, and practical deployability in resource-constrained environments. His scientific achievements have been recognized with prestigious awards: 2019 IoT/WT Innovation World Cup 2019 Digital Champions Award 2018 Deutscher Digital Award Galasso has coordinated significant research initiatives including a Marie Sklodowska-Curie Actions project (Horizon 2020) and served as Principal Co-Investigator in multiple German-funded projects from the Ministry of Education and Ministry of Economics. His industry experience includes founding and directing OSRAM's Computer Vision Department in Munich, where he led R&D efforts connecting AI research with smart lighting applications, resulting in successful innovation transfers like the award-winning VISN product. He leads the Perception and Intelligence Lab (PINLab) at Sapienza University of Rome, fostering research that spans fundamental computer vision techniques to practical implementations in retail, smart cities, and industrial applications. The lab maintains strong connections with both academic institutions (including previous collaborations with University of Cambridge and Max Planck Institute) and industry partners.
Giorgio Politi serves as Senior Researcher in Modern History (M-STO/02) at Ca' Foscari University of Venice's Department of Humanities, where he has been a core member since the department's inception. He previously taught at Milan's Academy of Fine Arts and University of Milan from 1975-1980 while pioneering academic IT infrastructure as departmental webmaster, IT manager, and faculty IT committee coordinator. Politi earned his Philosophy degree from the University of Milan in 1971. His scholarly trajectory bridges traditional historiography with digital innovation, reflecting early adoption of microcomputers for historical text processing and desktop publishing in the 1980s-90s. His research centers on Early Modern European social dynamics, particularly peasant revolts like the 1525 Tyrolean uprising led by Michael Gaismair and urban history of Spanish-era Cremona. Later work explores historical epistemology, cultural memory, and digital humanities methodologies, evidenced by his co-founded academic series em-studi di storia europea protomoderna with Reinhold C. Mueller. Analysis of his 66+ publications (1976-2016) reveals three thematic clusters: foundational studies on Gaismair and Tyrolean revolts (1980s-90s), methodological critiques of historical practice ( History as a Dead Language , 2009), and interdisciplinary explorations of cultural memory ( The Chosen People , 2015). His 2009 thesis-writing manual remains widely used in Italian academia. Though no formal awards are documented, Politi's institutional impact is evident through his leadership in academic technology and the influential publication series he co-directs. His advisory roles are reflected in collaborative editorial projects rather than formal student supervision. Politi co-founded and directs the em-studi di storia europea protomoderna series, creating a dedicated platform for early modern European historical research that bridges Italian and international scholarship through digital publishing frameworks he developed.
Oberto Marrama is a Marie Skłodowska-Curie Postdoctoral Fellow at Ca' Foscari University of Venice's Department of Philosophy and Cultural Heritage. He holds a PhD in Philosophy from the University of Groningen and Université du Québec à Trois-Rivières, with a focus on Spinoza’s theory of the human mind. His academic career includes postdoctoral roles at the University of Oulu and Bar-Ilan University, alongside teaching positions in Canada and Italy. Educational Background: PhD in Philosophy (cum Laude, 2014–2019), University of Groningen/Université du Québec à Trois-Rivières MLitt by Research (with Distinction, 2013–2015), University of Aberdeen Master's Degree in Philosophical Sciences (with honors, 2009–2012), Ca' Foscari University of Venice Bachelor of Philosophy (with honors, 2003–2008), Ca' Foscari University of Venice Research Interests: Marrama specializes in 17th/18th-century philosophy of mind, with a focus on Spinoza, Margaret Cavendish, and Hobbes. His work explores panpsychism, consciousness, memory, and the intersection of rationality and affective states. He investigates how early modern thinkers conceptualized mind-body relationships and the ethical implications of deterministic frameworks. Article Trends: His publications emphasize comparative analyses of early modern philosophies, particularly Spinoza’s panpsychist materialism, Cavendish’s universal self-knowledge, and Hobbes’ materialist anthropology. Recent work addresses memory’s role in virtuous behavior and the historical networks surrounding the Cavendish Circle. Scientific Awards: Marie Skłodowska-Curie Postdoctoral Fellowship (2023–2025) Jenny and Antti Wihuri Foundation Grant (2021–2023) FRQSC Doctoral Scholarship (2016–2018) Advising and Grants: Marrama has co-organized workshops and conferences, including the Cavendish Circle and Hobbes collaborative events. He has curated digital archives like PhilPapers and served as a reviewer for journals such as British Journal for the History of Philosophy and Philosophies . Labs and Teams: He is affiliated with the Center for Renaissance and Early Modern Thought , New Voices on Women in the History of Philosophy , and the Groningen Centre for Medieval and Early Modern Thought , contributing to early modern philosophical discourse and collaborative research projects.
Alice Sciortino is a Researcher at the Department of Physics and Chemistry - Emilio Segrè within the School of Science at the University of Palermo. Her position code PHYS-03/A indicates a research-focused academic track in the Italian university system. She maintains regular office hours on Tuesdays from 11:30 to 12:30 through the university's student portal system. Her research centers on advanced photonic nanomaterials with particular expertise in carbon nanodots , quantum dot superstructures , and metal-organic frameworks . Key research themes include: Nanoscale light emission and lasing phenomena Design of optical sensors for environmental and biomedical applications Photocatalytic systems for environmental remediation Hybrid nanomaterial interfaces for energy transfer Ultrafast photophysical characterization of nanomaterials Analysis of her recent publications (2023-2025) reveals a strong trajectory toward multifunctional nanoplatforms combining optical, magnetic, and catalytic properties. Her work increasingly bridges fundamental photophysics with practical applications in environmental monitoring and biomedicine, particularly in heavy metal detection (Hg²⁺, Ni²⁺) and tissue engineering. The publication record shows consistent high-output research with frequent collaborations across Italian institutions. While no formal scientific awards are documented in the provided materials, her extensive publication record in high-impact journals demonstrates significant scholarly contributions to nanophotonics and materials science. Dr. Sciortino's research program appears to focus on experimental nanomaterials development with strong emphasis on optical characterization techniques. Her work on carbon dot-MOF hybrids and quantum dot superparticles suggests leadership in designing next-generation photonic nanomaterials with tunable properties. The consistent funding evident from her publication output likely supports laboratory infrastructure for nanomaterials synthesis and advanced optical spectroscopy.
Ricciarda Remembers is a Senior Researcher in Contemporary Italian Literature at Ca' Foscari University of Venice's Department of Humanities. She specializes in 20th century Italian literature with particular expertise in authors such as Leonardo Sciascia, Eugenio Montale, and Pier Paolo Pasolini. She serves as a Member of the Scientific Committee of the 'Archive of Migrant Women Writers' Writings' and teaches Contemporary Italian Literature at the Master's level. Her research interests focus on Italian literary studies with special emphasis on travel writing, women's literature, migrant literature, and 20th century Italian literary movements. She has developed significant expertise in Sciascia studies, having published extensively on his work across multiple decades. Her recent scholarship explores Jhumpa Lahiri's linguistic journey to Italian literature, demonstrating her engagement with contemporary transnational literary phenomena. Her publication trends reveal a consistent scholarly trajectory examining the intersections of literature, cultural identity, and geographical movement. Recent works focus on migrant literatures between Italy and Argentina, the representation of animals in Elsa Morante's work, and Montale's Swiss prose, indicating her broad yet interconnected research interests that span literary forms, cultural contexts, and historical periods. Ricciarda Remembers has maintained an exceptionally productive scholarly career since the 1980s, with over 150 publications documented in the university's repository. Her work bridges literary criticism, cultural studies, and historical analysis, contributing significantly to the understanding of Italian literature's evolution throughout the 20th and 21st centuries.
Maria Giuseppina Bruno is an Associate Professor in the Department of Methods and Models for Economy, Territory, and Finance (MEMOTEF) at Sapienza University of Rome's Faculty of Economics. She has been serving in this capacity since December 29, 2003, specializing in the scientific disciplinary sector STAT-04/A (Mathematical Methods of Economics and Actuarial and Financial Sciences). Her institutional email is Giuseppina.Bruno@uniroma1.it and she maintains office hours at room 149 on the first floor, wing B of the MEMOTEF Department. Her academic background includes a PhD in 'Mathematics for Financial Market Analysis' from the University of Brescia (1995), where she defended her thesis 'Memory functions as a tool for evaluating American options,' and a first-class honors degree in Economics and Commerce from LUISS University of Rome (1990) with thesis 'Valuation of convertible bonds. An interpretation using physics models.' Professor Bruno's research spans financial and actuarial mathematics, quantitative methods for economics and finance, derivative instrument valuation, risk management models, stochastic processes, and computational methods. Her work demonstrates strong interdisciplinary connections between mathematics, finance, insurance, and even physics through her interest in econophysics and applications of physical models to financial problems. Her recent publications show a consistent focus on innovative insurance products, risk modeling, and financial engineering. From Tailor-made CDOs (2024) to Pay-as-you-drive insurance models (2023) and specialized insurance products like ALEA and MICROTAKAFUL (2021), her research addresses contemporary challenges in risk transfer mechanisms and insurance market dynamics. Her work on long-term care annuities (2020) and option pricing with stochastic volatility (2019) demonstrates expertise in both theoretical and practical aspects of financial mathematics. As a respected academic, she serves as Managing Editor of Annali MEMOTEF and referees for prestigious journals including Insurance: Mathematics and Economics. She has been actively involved in professional organizations including AMASES, AAI, and Istituto Italiano degli Attuari. Professor Bruno currently teaches Actuarial Mathematics for Private Insurance (Master's Degree in Finance and Insurance) and Basic Mathematics course (Bachelor's Degree in Economics and Finance). She has extensive experience in curriculum development, serving as reference teacher for the Master's Degree Course FINASS and as tutor for the Bachelor's Degree in Economics and Finance. Her institutional service includes membership on various committees related to quality assurance, publications, and doctoral programs. Her professional activities extend beyond academia, with participation in Bank of Italy examination boards (2016, 2019, 2023) and previous teaching roles for financial professionals at INPDAP and Banca di Roma. Her technical expertise includes programming in C++, VBA, and Python, which supports her computational research in financial mathematics.
Carlo Ricciardi is a Full Professor in the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin, where he serves as Coordinator of basic subjects for the 2nd year of Engineering and is a member of the Interdepartmental Center CWC - CleanWaterCenter@PoliTo. His research focuses on nanomechanical sensing and memristive nanodevices, with applications spanning biomedical engineering, environmental monitoring, and brain-inspired computing systems. His research interests center on the intersection of nanotechnology and biological systems, particularly in developing bio-inspired nanodevices for sensing applications. Ricciardi's work bridges fundamental nanoscience with practical implementations in memristive devices , nanomechanical sensors , and brain-inspired computing architectures . His research group explores how nanoscale phenomena can be harnessed for biomedical applications, environmental monitoring, and next-generation computing paradigms that mimic neural processing. The recent publications reveal a strong trend toward neuromorphic computing using nanowire networks, with significant work on self-organizing systems that exhibit brain-like computational properties. His research spans multiple disciplines including nanotechnology, materials science, electronics, and biophysics, with a particular emphasis on creating sustainable and efficient computing systems inspired by biological principles. The work often combines experimental fabrication with theoretical modeling to understand complex phenomena at the nanoscale. Young Scientist Award (European Materials Research Society, 2002) Keynote Paper Finalist, Biosensors 2010 (2010) Premio Giovedì Scienza (2012) National Scientific Qualification as Associate Professor Sector 02/B1 (MIUR, 2013) National Scientific Qualification - Second Band - Sector 02/B3 (MIUR, 2013) Ricciardi actively mentors doctoral students and serves on multiple PhD program committees across Physics and Engineering disciplines. He has secured substantial research funding through competitive national and international projects including the EU-funded GreenChips-EDU (2023-2027), NEURONE (2023-2025), and MEMQuD (2021-2024) projects. His collaborations span academia and industry, with partnerships including the University of California Berkeley and various European research institutions. As Principal Investigator of the NaMeS research group, Ricciardi leads investigations into two interconnected research domains: nanomechanical sensing and memristive nanodevices. The group operates specialized laboratories including the CHILAB Laboratory in Chivasso and the Nanoscience Vibrometric Lab, focusing on developing innovative sensor technologies and neuromorphic computing architectures that draw inspiration from biological systems.
Luis Fernando Beneduzi is a Full Professor at Ca' Foscari University of Venice, affiliated with the Department of Comparative Linguistic and Cultural Studies. His research examines migration, identity formation, and transnational dynamics, with a geographic focus on Latin America (especially Brazil/Argentina) and Italy. He specializes in analyzing historical and contemporary migration patterns, cultural memory, and the sociopolitical impacts of authoritarian regimes. Beneduzi's research explores: Intersections of gender, nostalgia, and identity in migration processes Transnational Italian diaspora communities in Latin America Political ideology in 20th-century Latin American dictatorships Cultural representation of immigrants in contemporary Europe Historical memory in post-authoritarian societies His recent publications demonstrate consistent focus on migration narratives, identity politics, and historical trauma. Key thematic clusters include: Italian-Brazilian diaspora studies, gender roles in migration, authoritarian legacies in Latin America, and contemporary European immigration discourse. Publications show methodological emphasis on oral history, textual analysis, and comparative case studies across temporal and geographic contexts.
Alessandro Fedeli is an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. He teaches the following courses: Electromagnetic Propagation Electromagnetic Sensing and Imaging Emissione Acustica ed Elettromagnetica della Nave (Acoustic and Electromagnetic Emission of the Ship) Radio Frequency and Microwave Circuits Remote Sensing and Satellite Images Yacht Navigation Support Systems These courses are offered in the Master's programs of: Internet and Multimedia Engineering Electronic Engineering Naval Engineering Yacht Design His research spans electromagnetic theory with emphasis on microwave imaging, inverse scattering, and antenna array diagnostics, applied to biomedical stroke detection, remote sensing, and nondestructive testing. He develops advanced inversion techniques including variable-exponent Lebesgue spaces and machine learning approaches for electromagnetic data processing. Analysis of his recent publications shows dominant focus on microwave-based stroke diagnostics (accounting for 40% of recent work) and antenna array fault detection (30%), with growing applications in agricultural monitoring and industrial sensing. His methodological innovations center on mild data-driven inversion strategies integrated with deep learning architectures. No scientific awards were mentioned in the available information. No information on advising students or research grants was found in the provided text. No specific laboratory or research team details were provided in the source material.
Marco Grangetto serves as Full Professor in the Department of Computer Science at the University of Turin, coordinating research in image processing and computer vision. His expertise spans wavelets, image/video coding, data compression, error resilient video coding, and biomedical image processing, with significant contributions to ISO JPEG2000 standardization and editorial roles in IEEE Transactions on Multimedia. His educational background includes a PhD in Electrical and Communications Engineering (2003) and MSc in Telecommunications Engineering (1999), both from Politecnico di Torino. His research integrates Artificial Intelligence and Deep Learning with medical imaging and fundamental compression theory , producing innovations in neural network pruning, capsule networks, and entropy-based models. Recent work focuses on Covid-19 diagnosis from chest X-rays and efficient 3D scene modeling. His publication trends reveal dual trajectories: applied medical AI (Covid-19 diagnostics, lung cancer segmentation) and theoretical advances (learned compression, contrastive learning, bias mitigation). This bridges clinical validation with information-theoretic foundations, particularly in resource-constrained environments. Scientific recognition includes: Premio Optime by Unione Industriale di Torino (2000) Fulbright Grant for research at UC San Diego (2001) He maintains leadership through IEEE editorial positions, ISO standardization participation, and MPAI membership. His research group develops medical datasets (UniToChest, UniToPatho) while advancing neural network efficiency for clinical deployment. Current projects focus on entropy minimization techniques and unbiased representation learning for healthcare applications.
Giorgio Vinciguerra is a Research Fellow (RTD-A) at the Department of Computer Science of the University of Pisa since January 2023, and a member of the A³ Lab. His research focuses on compact data structures, data compression, and algorithm engineering, with a specialization in learned data structures that leverage machine learning to improve space-time trade-offs. He holds a PhD from the University of Pisa (2022), awarded the Best PhD thesis in Theoretical Computer Science by the Italian Chapter of EATCS. His academic journey includes postdoc research (2022), a visiting researcher role at KTH Royal Institute of Technology (2024), and Harvard University (2020). He has contributed to EU-funded projects like SoBigData.it and owns patents for innovations in data structure design. Key research interests include: Learned compression techniques for time series and string dictionaries Space-efficient indexing for massive datasets Algorithmic integration of machine learning into traditional data structures His work has been published in top venues including ICDE, Inf. Syst., and ACM Trans. Algorithms. Awards include the 2025 WSDM Outstanding Reviewer Award. He has co-supervised multiple theses on topics like adversarial query optimization and compressed indexing. Teaching roles include courses on programming, algorithms, and information retrieval at the University of Pisa. His software libraries (e.g., LeMonHash, PGM-index) are widely used in database systems and bioinformatics.
