Luigi Palopoli is a Full Professor and Director at the Department of Information Engineering and Computer Science (DISI), University of Trento, Italy. He is also a member of the University Council. His research spans hybrid systems, real-time scheduling, quality of service control, robotics, embedded systems, and cyber-physical systems. His research interests include: Hybrid Systems and Real-Time Scheduling Service and Assistive Robotics for Elderly Support AI Applications in Robotics and Embedded Systems Outlier Detection and Anomaly Explanation Audio Super-Resolution and Signal Processing Biological Network Analysis and Graph Alignment His recent publications reflect a strong interdisciplinary focus, combining AI, robotics, real-time systems, and bioinformatics. Trends show increasing work in explainable AI, assistive technologies, and multimodal learning (e.g., vision transformers for audio). He has made notable contributions to robotic navigation for the elderly, real-time embedded systems, and logic-based outlier detection. Scientific awards include: Outstanding Paper Award at RTAS 2017 He advises students and collaborates widely, especially with Daniele Fontanelli, Luca Abeni, and other researchers in robotics and AI. He maintains an active research group, evidenced by a dedicated YouTube channel for the Embedded Intelligence and Robotic Systems group. He is involved in teaching, including courses on Robot Planning and Real-Time Operating Systems, and participates in AI seminar series. There is no indication of retirement or former status; he is actively engaged in research, teaching, and academic service.
David Scaradozzi is a Researcher at the Department of Information Engineering within Università Politecnica delle Marche (UNIVPM). His work spans robotics, control systems, and AI applications in both environmental monitoring and education. Based in Ancona, Italy, he contributes to underwater robotics, bioinspired design, and STEM education initiatives. Research Focus: Underwater robotics, dolphin vocalization recognition, AI-integrated control systems Projects: ARROWS (underwater archaeology), ROBOAQUARIA (environmental awareness), NGC systems for biomimetic robots His academic contributions leverage max-plus algebra for task coordination and machine learning for real-time acoustic analysis. Scaradozzi actively develops educational robotics curricula for primary schools, emphasizing gender equality and technological accessibility. Recent publications highlight his dual focus: advancing bioinspired robotic platforms and optimizing AI-driven educational tools . His work bridges theoretical control systems with practical applications in marine monitoring and pedagogy.
Dr. Susanna Spinsante is an Associate Professor at the Department of Information Engineering, School of Engineering, Università Politecnica delle Marche (UNIVPM), Italy. Her research focuses on electrical measurements, IoT-enabled sensor systems, and machine learning applications for fault detection and health monitoring. Academic Rank: Associate Professor Department: Information Engineering University: Università Politecnica delle Marche Her research spans wearable devices for physiological signal analysis, radar-based vibration monitoring for UAV/drone security, and IoT applications in digital health. She has published extensively on skin conductance monitoring, radar signal processing, and assisted living technologies. Recent work includes unsupervised learning techniques for physical fatigue detection, mmWave radar applications in vehicle safety, and covert communication channels for UAV security. Her 2025 articles highlight advancements in nitrate detection via Raman spectroscopy and industrial fan quality inspection using 77 GHz radar. Key collaborations involve projects like vINCI and HealthyIoT conferences, emphasizing ambient assisted living and biomedical sensor validation.
Fabrizio Riente is a Fixed-term Researcher at the Department of Electronics and Telecommunications (DET) , Politecnico di Torino. He holds academic responsibilities in multiple programs and contributes to editorial and conference committees. Member of College of Electronic, Telecommunications and Physics Engineering Invited Member of College of Computer, Film, and Mechatronics Engineering His research spans Nanocomputing , Quantum Technologies , and Machine Learning for environmental and healthcare applications, with a focus on: Qubit Control & Readout Systems IoT for Bee Health Monitoring 3D Audio-Visual Reproduction for Hearing Research Hybrid Simulation and Emerging Nanotechnologies Low-Power Electronic Systems His recent publications demonstrate interdisciplinary work bridging Quantum Electronics and Acoustic Ecology , particularly in developing VLSI architectures for novel applications. Notable scientific awards include Associate Editorship at Frontiers in Electronics and program committee roles at international conferences. He supervises PhD students in Quantum Engineering and Electronic Engineering , directing research projects funded by commercial contracts on quantum architectures and automotive technologies. His teaching portfolio includes courses on Microelectronic Systems and Low-Power Electronics .
Vincenzo Spagnolo is a leading researcher affiliated with the PolySense team, focusing on optical gas sensing, photoacoustic spectroscopy, and laser-based sensor development. His work addresses critical challenges in environmental monitoring, energy safety, and industrial applications through advanced photonics technologies. Recognized in the AD Scientific Index World Scientists Rankings 2025 and 2024 Featured in Stanford University's Top 2% Scientists List (Full Career) 2023 Recent research highlights include: Ultra-compact QEPAS sensors for water vapor and greenhouse gases Black Quartz technology for mid-infrared absorption enhancement Remote gas sensing via optical synchronization methods PPB-level SO 2 and CO impurity detection in industrial gases Flow dynamics characterization for optimized sensor chambers His publications demonstrate expertise in: Quartz-Enhanced Photoacoustic Spectroscopy (QEPAS) Laser Diode Systems Waveguide and Fiber Optics Integration Trace Gas Detection High-Power Solid-State Lasers Multi-Heterodyne Spectroscopic Techniques Scientific awards and recognitions: AD Scientific Index World Scientists Rankings 2025 and 2024 Stanford University Top 2% Scientists List (Full Career) 2023 Five consecutive years in the Top 2% Scientists list The PolySense team's work under Spagnolo's contributions continues to push boundaries in optical sensing, with applications spanning hydrogen safety, natural gas analysis, and environmental monitoring through innovations in laser technology and sensor design.
Andrea Bianco is a Full Professor at Politecnico di Torino in the Department of Electronics and Telecommunications. He serves as Vice Rector for Internal Affairs since 2024 and previously held roles such as Department Head and member of the Academic Senate. His research focuses on optical networks, software-defined networking, and networked music performance. He has authored over 220 publications with an h-index of 27 and received the Best Paper Award at IEEE GLOBECOM 2009. Education: Dr.Ing. in Electronics Engineering (1986) and Ph.D. in Telecommunications Engineering (1994), both from Politecnico di Torino. Research Interests: High-speed switching, SDN/NFV, network music performance, and energy-efficient optical networks. His work includes leading projects like SFINGI (virtualization in software routers) and ZeTON (Zero-Touch Optical Networks). He has collaborated with industries like Cisco, Alcatel, and BT. Bianco is an IEEE Senior Member and has co-chaired major conferences such as IEEE GLOBECOM and Networking.
Eliana Pastor is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) , Politecnico di Torino , and a member of the SmartData@PoliTO - Big Data and Data Science Laboratory . She teaches courses including Explainable and Trustworthy AI (Computer Engineering) and Business Intelligence for Big Data (Management Engineering) across academic years 2023-2025. Scientific branch: IINF-05/A - Information Processing Systems (Area 0009 - Industrial and Information Engineering) ERC sectors: Algorithms, Artificial Intelligence, Machine Learning, Software Engineering, Web Systems Her research focuses on Algorithm Fairness , Explainable AI , and Trustworthy AI , with applications in speech processing, computer vision, and ethical AI systems. She leads the commercial research project Root Cause Analysis in Mechatronic Systems via Pattern Recognition and Causal AI (2024-2025) and supervises PhD students Eleonora Poeta (Safe and Trustworthy AI) and Alkis Koudounas (Speech Foundation Models). Recent publications address fairness in speech models, video LLMs for zero-shot summarization, and Kolmogorov-Arnold Networks for language understanding Collaborates with DBDM - Database and Data Mining Group (DAUIN) on AI ethics and data science projects
Paolo Stefano Crovetti is an Associate Professor in the Department of Electronics and Telecommunications at Politecnico di Torino. He is a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and serves on the Joint Committee for Teaching. His research and teaching focus on cutting-edge areas of electrical engineering, particularly in analog and mixed-signal circuit design for ultra-low power applications and sustainable energy systems. Dr. Crovetti's research spans digital-based analog and mixed signal circuits, digital-to-analog converters, electromagnetic compatibility, and ultra-low power and ultra-low voltage electronics. His work addresses critical challenges in power electronics for Internet of Things applications, photovoltaic systems, and sustainable energy conversion, aligning with UN Sustainable Development Goals for health, sustainable cities, and responsible consumption. His publication record demonstrates consistent innovation in circuit design, particularly in digital-based analog techniques, power optimization for renewable energy systems, and electromagnetic compatibility solutions. Key research themes include ultra-low voltage operational transconductance amplifiers, advanced digital pulse width modulation techniques, and novel approaches to power conversion for sustainable applications. IEICE Symposium Excellent Paper Award (2009) ICECS Best Student Paper Award (2019) IEEE Fellow (2020-) Dr. Crovetti actively supervises seven PhD students working on advanced topics in power electronics and integrated circuit design. He leads multiple significant research projects including MicroBioNIC (2025-2027), NEUROPULS (2023-2027), and ULPIoT (2017-2020), securing substantial funding from national and international sources. His editorial roles include serving as Associate Editor for IEEE Transactions on VLSI Systems and as Guest Editor for Electronics Letters. He is an active member of the Microwave and Optoelectronics Group (MOG) within the Department of Electronics and Telecommunications, contributing to the university's research excellence in advanced electronic systems for power conversion and sustainable energy applications.
Michele Mancusi is a Senior Research Scientist at Sony and holds a Ph.D. in Computer Science from Sapienza University of Rome, where he remains affiliated with the GLADIA research group under Prof. Emanuele Rodolà. He earned dual degrees in Physics (Quantum Information) from Sapienza, blending computational and theoretical expertise. His research focuses on deep learning applications in audio signal processing, including source separation techniques for music and ecological monitoring. Notable contributions include data-driven methods for marine biodiversity assessment via fish vocalization analysis and innovations in diffusion models for high-resolution audio generation. His work bridges academia and industry, with publications in top venues like ISMIR, ICASSP, and ICLR. Research interests emphasize generative models (autoregressive/diffusion), music technology, and interdisciplinary applications in environmental science. Recent efforts explore coherence-oriented audio representation learning (COCOLA) and inference-time optimizations for music mastering processors (ITO-Master). Publications reflect a trend toward real-world impact, such as accelerating transformer-based translation systems and developing latent diffusion techniques for timbre transfer. Collaborations include cross-disciplinary projects with marine biologists to advance biodiversity tracking through passive acoustic monitoring.
Riccardo Marin is a Post-Doctoral Researcher at the University of Tuebingen, supported by the Humboldt Post-Doctoral Fellowship. He is part of the Real-Virtual Humans group led by Prof. Gerard Pons-Moll. Previously, he conducted post-doctoral research at Sapienza University of Rome in the GLADIA group under Prof. Emanuele Rodolà, contributing to the SPECGEO ERC project. He earned his Ph.D. in Computer Science from the University of Verona under Prof. Umberto Castellani, winning the Best PhD Thesis Award by EG-Italy. He holds a Master's degree in Computer Science and Engineering from the University of Verona (2017). His research focuses on Spectral Shape Analysis, Geometric Deep Learning, and Virtual Humans, with contributions to top-tier conferences and journals (NeurIPS, IJCV, CVPR). Key achievements include a Best Student Paper Award at 3DV 2020 and five Outstanding Reviewer Awards. He actively serves as a reviewer for leading journals and conferences (PAMI, TCVG, CVPR, NeurIPS) and has organized events like Siggraph RCD and 3DV 2018. Collaborations include institutions like École Polytechnique, Max-Planck Institute, INRIA Strasbourg, UCL, and the University of Milan. His work is supported by grants from Google and the European Research Council (ERC). His research bridges geometry processing with machine learning, emphasizing spectral methods and shape correspondence. Notable projects include MoMaS (real-time procedural texturing), FARM (3D human body registration), and contributions to latent space analysis for shape modeling. He maintains an active GitHub profile with repositories like NICP and InstantRecoveryFromSpectrum .
Gianluca Ciattaglia is an Assistant Professor (RTDa) in Electrical and Electronics Measurements at the Department of Electrical and Electronic Engineering, Università Politecnica delle Marche, Italy. Previously, he served as a Research Fellow at the same institution from 2022 to 2024 and worked at Ferrari S.p.A. as an Electronic Support Engineer for Formula 1 test teams (2018–2022). He holds a B.Sc. (2014), M.Sc. (2017), and Ph.D. (2021) in Electronic Engineering and Information Engineering from Università Politecnica delle Marche. His research focuses on radar-based measurement techniques for industrial, automotive, and aerospace applications, including radar signal processing, vibration analysis, and sensor fusion. He has contributed to projects involving drone detection, elderly telemonitoring, and automotive radar optimization. His work bridges theoretical advancements in signal processing with practical implementations in safety, health, and environmental monitoring. Publications span radar-based physiological sensing, autonomous drone identification, and mmWave radar applications in structural health monitoring. His recent work emphasizes machine learning integration with radar data for improved accuracy in activity recognition and environmental control systems. No scientific awards are explicitly listed, but his contributions to automotive and aerospace radar technologies reflect significant industry-academia collaboration. Professional activities include advising on radar sensor deployments and collaborating with automotive firms like Ferrari. His lab focuses on developing edge-node systems for real-time monitoring and smart environmental solutions. Current projects include optimizing radar configurations for energy efficiency and enhancing indoor air quality through smart ventilation systems.
Lorenzo Porcaro is a Marie Skłodowska-Curie Postdoctoral Fellow at the Department of Computer, Control, and Management Engineering (DIAG) at Sapienza University of Rome, where he leads the project Algorithmic Auditing for Music Discoverability (AA4MD) in collaboration with Professor Tiziana Catarci of the HCI group and Professor Fabrizio Silvestri of the RSTLess research group. He completed his PhD cum laude at Universitat Pompeu Fabra (UPF) in Barcelona, with research conducted at the Music Technology Group, Department of Information and Communication Technologies. Prior to his postdoctoral role, he served as a Scientific Project Officer at the European Commission’s Joint Research Centre (JRC), contributing to the Human Behaviour and Machine Intelligence (HUMAINT) team and the European Centre for Algorithmic Transparency (ECAT). Education: Bachelor's in Applied Mathematics, Sapienza University of Rome (2014) Master's in Sound and Music Computing, Universitat Pompeu Fabra (2015) Master's in Intelligent Interactive Systems, Universitat Pompeu Fabra (2018) PhD in Information and Communication Technologies, Universitat Pompeu Fabra (2022, cum laude) His research focuses on recommender systems, algorithmic auditing, music information retrieval, and AI ethics. He investigates how algorithmic systems impact user behavior, diversity, and fairness in music discovery, with a strong emphasis on transparency and user empowerment. His work integrates technical AI methods with human-centered evaluation and societal impact analysis, particularly in the context of digital platform regulation such as the Digital Services Act (DSA). He has contributed to EU-funded projects like TROMPA and MusicalAI, and his publications appear in top venues including ACM Transactions on Recommender Systems, IEEE Transactions on Affective Computing, and RecSys. His recent publications highlight a consistent focus on diversity, fairness, and auditing in music and information systems. Themes include longitudinal studies on music recommendation diversity, user-centric algorithmic auditing frameworks, open datasets for emotion recognition, and critical analyses of diversity in AI research communities. His work bridges technical innovation with ethical and societal considerations. Scientific Awards and Recognition: Marie Skłodowska-Curie Postdoctoral Fellowship PhD awarded cum laude (with full marks) 2024 Featured Article by the Editor-in-Chief of ACM Transactions on Recommender Systems Lorenzo actively mentors prospective PhD students and is involved in research leadership through organizing workshops such as MuRS (Music Recommender Systems) and HCMIR. He has no formal advisees listed yet but welcomes PhD applicants interested in music recommender systems and algorithmic auditing. His research is supported by significant grants, including the Marie Curie fellowship and prior EU and national funding. He is a member of the RSTLess research group and collaborates with leading experts in HCI and AI. Labs and Research Groups: Principal Investigator of AA4MD project, Sapienza University of Rome Member of the RSTLess research group (led by Prof. Fabrizio Silvestri) Former member of the HUMAINT team at the European Commission’s JRC Collaborator with the Music Technology Group (MTG) at UPF Collaborator with the HCI group at DIAG, Sapienza
Prof. Laura Falaschetti is a Researcher at the Department of Information Engineering, Polytechnic University of Marche (Ancona, Italy). Her work focuses on embedded systems, neural networks, biomedical engineering, and signal processing. She develops lightweight machine learning models for resource-constrained devices, with applications in healthcare monitoring, environmental sensing, and wearable technology. Key projects include real-time gesture recognition systems, EEG-based disease classification, and low-power IoT devices for disaster early warning. Her research integrates hardware-software co-design (e.g., QEMU/GHDL) and emphasizes practical deployment of AI algorithms on microcontrollers. She holds office hours every Friday 10:00-13:00 at Ufficio docente Q165 DII/Microsoft Teams. Contact: l.falaschetti@staff.univpm.it Publications highlight contributions to embedded vision systems, wearable sensor networks, and multimodal signal fusion for clinical applications. Her work bridges theoretical machine learning with practical embedded system constraints, addressing challenges in energy efficiency, real-time processing, and medical accuracy.
Vincenzo Galata is a researcher at the Institute of Cognitive Sciences and Technologies - ISTC (Padua Branch) and has contributed extensively to phonetics, bilingualism, and speech corpus development. His work spans sociophonetics, articulatory phonology, and emotion recognition through speech analysis. Research Focus : /r/ phonetic variation in bilingual contexts, heritage language maintenance, and speech emotion recognition Key Projects : Creation of the IRIAS multilingual speech corpus, forensic speaker recognition studies Methodologies : Acoustic analysis, ultrasound articulatory imaging, sociolinguistic surveys His publications since 2008 demonstrate consistent contributions to: Phonetic documentation of endangered dialects Inter-language phonetic influence in immigrant populations Technological applications of phonetic analysis to emotion tracking Standardization of forensic speaker recognition methods Galata collaborates with researchers across Italy (University of Calabria) and internationally, focusing on Tyrolean-Italian bilinguals and Italo-Australian speech communities.
Piero Malcovati is a Full Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Pavia, where he leads the Integrated Microsystems and Sensors Laboratory. His academic career spans over 25 years of research in microelectronics and sensor systems. His research focuses on Microsensors , Integrated Microsystems , MEMS , and Sensor Interface Circuits , with particular expertise in gas sensing systems, microsensor interfaces, and low-power analog design. His work bridges theoretical circuit design with practical applications in biomedical instrumentation, environmental monitoring, and space technology. Malcovati's publication portfolio demonstrates consistent innovation in high-dynamic-range sensor interfaces, with recent work emphasizing contactless temperature measurement systems, X-ray detector electronics for space missions (HERMES, eXTP), and ultra-low-power voice activity detection. His research shows strong interdisciplinary collaboration across nuclear engineering, aerospace systems, and biomedical applications. He teaches graduate courses including Ph.D. School in Microelectronics and Topics on Microelectronics , along with undergraduate courses such as Electrical Measurements , Industrial Electrical Measurements , and Microsensors, Integrated Microsystems, and MEMS . Malcovati's laboratory has contributed significantly to space instrumentation through the HERMES nano-satellite constellation and the eXTP mission, developing specialized front-end electronics for X-ray and gamma-ray detection systems. His team's PixDD technology represents advancement in room-temperature spectroscopic detectors for astrophysics.
