جستجوی استاد راهنمای دانشگاهی

• Biomedical Signal and Image Processing
• Cardiovascular and Neural Modeling
• Physiologically-interpretable Artificial Intelligence systems
• +۵ مورد دیگر

Gaetano Valenza is an Associate Professor of Bioengineering at the University of Pisa, Italy, where he leads the Neuro-Cardiovascular Intelligence Lab at the Enrico Piaggio Research Centre. He holds affiliations with the Neuroscience Statistics Research Laboratory at MIT and has served as a Research Fellow at Harvard Medical School and Massachusetts General Hospital. His academic work spans bioengineering, computational physiology, and affective computing. His research focuses on statistical and nonlinear biomedical signal and image processing , cardiovascular and neural modeling , and physiologically interpretable artificial intelligence . He develops wearable systems for physiological monitoring, with applications in autonomic nervous system assessment, brain-heart interactions, and mental health. His work has led to novel metrics such as the Sympathetic and Parasympathetic activity indices derived from ECG. The 15 most recent publications reflect a consistent trend in brain-heart interplay , complexity analysis of physiological signals , explainable AI in healthcare , and virtual reality applications in mental health . His work integrates advanced signal processing, nonlinear dynamics, and machine learning to decode emotional and cognitive states from physiological data. Dr. Valenza is a Senior Member of IEEE and serves on several technical committees. He is an active editorial leader, currently serving as Associate Editor for IEEE-EMBC , Plos One , Complexity , and Scientific Reports , and has guest-edited special issues in Philosophical Transactions of the Royal Society A and IEEE Journal of Biomedical and Health Informatics . He has led or participated in numerous international research projects, including FP7 and H2020 initiatives such as NEVERMIND and EXPERIENCE. He teaches courses in Biostatistics, Probability & Biostatistics, and Advanced Image Processing at the University of Pisa. As lab head and project coordinator, he leads a multidisciplinary team working on neuro-cardiovascular intelligence, wearable systems, and AI-driven mental health interventions.

Antonino Vallesiمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Psychology
• Neuropsychology
• +۳ مورد دیگر

Antonino Vallesi is a Full Professor in Neuropsychology and Cognitive Neuroscience at the University of Padua. He holds a master's degree in Psychology (University of Padua, 2003) and a PhD in Neuroscience (SISSA, Trieste, 2007). He has held roles as Assistant and Associate Professor at SISSA and the University of Padua before achieving his current rank. His research focuses on executive functions, cognitive aging, and temporal processing, employing neuroimaging, EEG, and experimental psychology methods. He has supervised over 10 PhD students, 13 postdocs, and 65 trainees. Education: PhD in Neuroscience, SISSA, Trieste (2007) Master's in Psychology, University of Padua (2003) Research Interests: The anatomo-functional organization of executive functions, cognitive aging, temporal processing, and neuropsychological methodologies. His work explores these areas through advanced techniques like EEG, neuroimaging, and neuromodulation. Awards: Bertelson Award (2011) Outstanding Young Person Award (2011) SIPF Prize (2017) ERC Starting Grant (2013) Advising & Grants: Supervisor of over 10 PhD students and 13 postdocs. Secured significant funding including an ERC grant. Involved in grant reviewing for EU programs (e.g., Horizon 2020) and international agencies. Labs & Teams: Leads the Executive Function Lab at the University of Padua, focusing on cognitive neuroscience and clinical applications.

• Artificial intelligence
• Biomedical signal processing
• Human movement analysis
• +۱۲ مورد دیگر

Marco Ghislieri is an Assistant Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, Italy. He is a member of the Interdepartmental Center PolitoBIOMed Lab and teaches in the Biomedical Engineering program, including courses like Neuroengineering and Design of Programmable Biomedical Devices . His research spans Artificial Intelligence, Biomedical Signal Processing, Neuroscience, and Rehabilitation Engineering . PhD in Bioengineering and Medical-Surgical Sciences (2017-2021) at Politecnico di Torino Thesis: Muscle Synergy Assessment during Cyclic and Non-Cyclic Movements His research focuses on muscle synergy analysis in Parkinson’s Disease (PD) patients post- Deep Brain Stimulation (DBS) , AI-driven gait analysis for fall prevention, and wearable sensor applications for stress-cognitive decline monitoring. He leads the S-CoDe and OMNIA-PARK projects, and contributes to PRIN as a team member. Recent publications highlight advancements in machine learning for intraoperative DBS targeting , statistical gait analysis , and neurorehabilitation tools . He serves as Associate Editor for Scientific Reports and Applied Bionics and Biomechanics , and Guest Editor for Frontiers in Neural Circuits . Awards include the Carlo J. De Luca Award (2022) , GNB Doctoral Award (2022) , and the Best Poster Award at M. Grattarola Summer School (2022) . He supervises Fabrizio Sciscenti (PhD candidate) and collaborates on neuroengineering and biomedical device design courses. His work addresses Goal 3 (Good Health) and Goal 4 (Quality Education) of the UN SDGs.

• Cognitive Neuroscience
• Developmental Psychology
• Neuroimaging
• +۳ مورد دیگر

Giovanni Mento is an Associate Professor at the Department of General Psychology, University of Padova. His research focuses on cognitive neuroscience, developmental psychology, and clinical neurology, with a particular emphasis on neural mechanisms underlying cognitive control, emotional processing, and neurodevelopmental disorders. He employs advanced neuroimaging techniques like high-density EEG to investigate topics such as temporal prediction, decision-making in children, and the impact of preterm birth on brain development. His work integrates interdisciplinary approaches, combining machine learning with electrophysiological data analysis to address challenges in epilepsy forecasting and predictive brain activity. Key research areas include implicit learning, motivational contexts influencing cognition, and the application of EEG to study socio-emotional and behavioral disorders in clinical populations. Recent studies explore the effects of yoga-mindfulness interventions on cognitive control in children, dynamic brain states in preschoolers, and methodological rigor in EEG-based machine learning models. His contributions span both theoretical frameworks (e.g., re-examining top-down control models) and applied clinical research (e.g., neonatal intensive care practices). Mento’s articles highlight trends in understanding developmental trajectories, predictive neural mechanisms, and translational applications of neuroscientific findings to real-world contexts like education and healthcare.

Emma Colamarinoمشاهده پروفایل

پژوهشگر

• Electroencephalographic (EEG) Signal Processing
• Electromyographic (EMG) Signal Processing
• Brain-Computer Interfaces (BCI)
• +۴ مورد دیگر

Emma Colamarino is a Researcher at the Department of Computer, Control and Management Engineering "Antonio Ruberti" of Sapienza University of Rome. She holds an M.Sc. in Biomedical Engineering (2014, cum laude) and a Ph.D. in Bioengineering (2019). Since 2015, she has been a research collaborator at the Neuroelectrical Imaging and Brain-Computer Interfaces Lab of IRCCS Fondazione Santa Lucia in Rome and served as a Visiting Ph.D. student at Imperial College London (2018). From 2019 to March 2023, she was a Post-Doctoral Fellow at Sapienza University. Her research focuses on Advanced electroencephalographic (EEG) and electromyographic (EMG) signal processing Brain-Computer Interface (BCI) protocols for cerebral function recovery Machine learning in neurorehabilitation Hybrid BCIs integrating cortico-muscular networks Recent publications address stroke rehabilitation, BCI design, spectral graph theory, and EMG-EEG integration. Her work spans biomedical data analysis, neuroengineering, and rehabilitation technology validation. Scientific awards include multiple grants from Sapienza University and the Italian Ministry of Health, a Student Award at the 7th International BCI Meeting (2018), and recognition as a Subject Expert (2019). She has supervised/co-supervised 18 MD theses across Biomedical, Management, and Robotics Engineering disciplines.

• Electric Drives
• Electrical Machines
• Motor Control
• +۷ مورد دیگر

Sandro Rubino is a Fixed-term tenure-track Assistant Professor at the Department of Energy (DENERG) at Politecnico di Torino, where he is also a Member of the Interdepartmental Center PEIC - Power Electronics Innovation Center. His academic appointment falls under the scientific disciplinary sector IIND-08/A - Power Electronic Converters, Electrical Machines and Drives (Area 0009 - Industrial and Information Engineering). Dr. Rubino's research focuses on electric drives and electrical machines, with particular expertise in induction motor drives, synchronous motor drives, and advanced torque control techniques. His work spans from fundamental motor control theory to practical applications in electric vehicles and e-mobility systems. He has developed high-performance torque controllers for various types of electric motors including electrically excited synchronous motors, induction motors, and multi-three-phase motor configurations. His research addresses critical challenges in motor drive systems including fault tolerance, efficiency optimization, and performance derating under abnormal conditions. His publications reveal a strong focus on practical applications of motor control theory, particularly in the context of electric vehicles and sustainable transportation. The trend in his recent work shows increasing sophistication in control algorithms for multi-phase motor systems, with emphasis on fault tolerance and performance optimization under challenging operating conditions. His research bridges theoretical electrical machine modeling with practical implementation challenges in modern power electronic drive systems. Dr. Rubino has received multiple prestigious awards including the IAS-IDC ECCE Prize Paper Award in 2020, 2022, and 2024 from IEEE Transactions on Industry Applications, the IEEE Italy Section Power and Energy Society (PES) Chapter Best PhD Thesis Award in 2020, the IEEE Italy Section Industrial Electronics (IES) Chapter Best PhD Thesis Award in 2021, and the IAS-IDC Transactions Paper Award in 2024. He actively supervises PhD students including Nicola Macri', Alessandro Ionta, and Luisa Tolosano, focusing on advanced topics in multi-phase motor drives and torque control. Dr. Rubino leads or participates in several significant research projects including TEAMING - e-powerTrain prEdictive mAintenance using physics inforMed learnING (2023-2027), SUPERDRIVE - Superconductive Synchronous Machine Drives for High-Power Applications (2023-2025), and SEMDY - Sustainable and Efficient Motor Drive System for E-mobility Applications (2022-2025), where he serves as Scientific Responsible. Within the Power Electronics Innovation Center (PEIC), Dr. Rubino contributes to advancing the state-of-the-art in electric drive systems, with particular emphasis on applications supporting Sustainable Development Goals 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 11 (Sustainable Cities and Communities).

Enzo Mastinuمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Prosthetics and Neuroprosthetics
• Embedded Systems
• +۴ مورد دیگر

Enzo Mastinu is an electronic engineer specialized in embedded systems for biomedical applications, holding an Associate Professor qualification in Bioengineering. He earned his bachelor's and master's degrees in electronic engineering from the University of Cagliari and a PhD in biomedical signals and systems from Chalmers University of Technology, Sweden. His research focuses on advanced prosthetics and neuroprostheses for upper limb amputations, incorporating embedded systems design, control algorithms, sensory feedback, signal processing, AI, and osseointegration. Key projects include the HAND and HAND2 initiatives, funded by the EU and the Italian Ministry of Research, aiming to develop semi-autonomous prosthetic hands. He has published 25 journal articles (75% in Q1) and 21 conference papers, contributing to a PCT patent. Mastinu is a Senior Member of IEEE EMBS and RAS, reviews for ~90 journals/conferences, and edits Transactions on Medical Robotics and Bionics (IEEE) and Scientific Data (Nature). He has supervised ~40 students across PhD, master's, internships, and postdocs, and teaches courses in biomedical engineering and STEM education. His scientific awards include the Marie Skłodowska-Curie Fellowship (2021), National Qualification as Associate Professor (2024), and a Young Researcher Grant (2025). Research emphasizes clinical implementation of prosthetics with neural feedback and intuitive control, as highlighted in high-impact journals like the New England Journal of Medicine.

Luca Sterponeمشاهده پروفایل

استاد

• Reconfigurable computing
• Computer-aided design algorithms
• Fault tolerance and reliability
• +۷ مورد دیگر

Luca Sterpone is a Full Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino. He serves as Head of the Control and Computer Engineering Department (2023-2027), coordinates the Aerospace and Safety Computing Lab, and is a member of the Academic Senate and Power Electronics Innovation Center (PEIC). His research spans reconfigurable computing, fault tolerance, and radiation effects analysis in electronic systems. Professor since 2021 Department Head (DAUIN) since 2023 Coordinates international collaborations with ESA, AMD Xilinx, NVIDIA, and Thales Alenia Space Develops radiation-hardened FPGA tools (SETA, VERI-Place, PyXEL) 2007 EDAA Outstanding Dissertation Award and 2005 IEEE Best Paper Award Research Focus : Designing radiation-tolerant systems for aerospace, including fault-tolerant AI accelerators, FPGA reliability, and software-based error mitigation. He investigates soft error propagation in nanoscale circuits and develops tools for radiation sensitivity analysis in VLSI. His work integrates hardware-software co-design for mission-critical applications. Awards : EDAA Outstanding Dissertation Award (2007) IEEE European Test Symposium Best Paper (2005) SMACD Best EDA Tool Award (2018) ARC Best Paper candidate (2018) Teaching : He leads courses in Reconfigurable Computing (PhD level), GPU Programming , and Operating Systems . He has formal responsibility for teaching roles across 9 bachelor's and 7 master's years, and mentors multiple PhD students. Collaborations : Coordinates with the European Space Agency (ESA), University of Bielefeld, Universidad de Sevilla, and industrial partners like AMD Xilinx, NVIDIA, and General Motors. He leads projects such as RESCHIP4EU, VEGAS, and TERRAC for radiation-hardened computing solutions.

• Psychology
• Cognitive Neuroscience
• Sleep Studies
• +۵ مورد دیگر

Nicola Cellini is an Associate Professor at the Department of General Psychology of the University of Padova. His research focuses on cognitive neuroscience, sleep science, and psychological mechanisms underlying memory, emotion, and decision-making. He has conducted extensive studies on sleep deprivation effects, emotional memory consolidation, and the application of wearable health technology for sleep monitoring. His work bridges clinical psychology, neurophysiology, and behavioral science, often involving interdisciplinary collaborations. Key research areas include: Neurophysiological correlates of time perception Cognitive and emotional consequences of sleep fragmentation Role of REM sleep in emotional processing Technology validation for sleep tracking (e.g., Xiaomi Mi Band 5) Psychosocial factors in pandemic mental health (e.g., time perspective theory) His recent publications highlight trends in: Clinical applications of rTMS for addiction treatment Impact of biophilic environments on psychophysiological recovery Interplay between sleep quality and false memory formation Age-related differences in sleep patterns during pandemics Notable contributions include methodological advancements in sleep monitoring technology validation and cross-cultural analyses of psychological resilience during the COVID-19 pandemic.

• Neuroscience
• Computational Modeling
• Meditation
• +۵ مورد دیگر

Giuseppe PAGNONI is an Associate Professor at the Department of Biomedical, Metabolic and Neurosciences of Università di Modena e Reggio Emilia . His research spans neuroscience , computational modeling , meditation , and brain network analysis . He teaches courses such as Neural Systems Modeling for Bioengineering students and Human Physiology and Pathophysiology in Medicine programs, with a focus on predictive coding , default mode network , and emotional valence processing . Pagnoni has contributed to ENIGMA-Meditation , a global initiative exploring meditation's neuroscientific basis, and developed sparse Bayesian models for analyzing brain network individual differences. His work on Alzheimer's disease investigates anosognosia mechanisms through resting-state fMRI, while other studies examine ghrelin's role in obesity-related reward processing and oxytocin's effects on social anxiety . He employs dynamic causal modeling and predictive processing frameworks to study cognitive effort, mind wandering, and neuromorphic learning. His methodological expertise includes functional MRI , independent component analysis , and computational simulations .

Davide Previtaliمشاهده پروفایل

استادیار

• Control Systems
• Black-Box Optimization
• Preference-Based Optimization
• +۴ مورد دیگر

Davide Previtali is an Assistant Professor at the University of Bergamo's Department of Engineering. His research focuses on control systems, black-box and preference-based optimization, and lithium-ion battery technologies. He teaches the 'Data science and automation' course (6 CFU). Education: Master’s in Computer Science Engineering (2019), PhD in Engineering and Applied Sciences (2022), both from University of Bergamo Research interests include model predictive control, thermal systems optimization, regenerative braking systems, and integration of biological models with neural networks. Recent work emphasizes energy-efficient industrial processes and algorithms for preference-based optimization with convergence guarantees. Publications span industrial oven modeling, shrink tunnel control systems, and advanced optimization algorithms. He leads the Control systems and Automation Laboratory, focusing on practical applications of control theory in manufacturing and energy systems. Labs/Teams: Control systems and Automation Laboratory

• Neuroscience
• Cognitive Science
• Motor Control
• +۴ مورد دیگر

Gioacchino Garofalo holds roles as Adjunct Professor in the Department of the Arts and Research Fellow/Teaching Tutor in the Department of Philosophy at the University of Bologna. His research focuses on sensorimotor integration, neurorehabilitation, and embodied cognition. Key interests include the neural mechanisms underlying language processing, motor control in developmental disorders, and the intersection of perception and action. Garofalo employs methods like MEG neuroimaging and behavioral studies to explore topics such as action verb semantics, affordance perception, and color influence on motor representation. Recent work (2022-2025) highlights studies on autism spectrum disorder, cerebral palsy, and the role of color in motor representation. He collaborates on neurorehabilitation interventions involving hand-mouth motor synergies for facial palsy patients. Garofalo's publications reflect a multidisciplinary approach blending linguistics, neuroscience, and clinical applications. His academic contributions span 15+ peer-reviewed articles since 2017, emphasizing experimental paradigms like action observation and virtual perspective-taking. No specific grants or awards are mentioned in the provided materials.

Vincenzo Romeiمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Consciousness Studies
• Neural Oscillations
• +۷ مورد دیگر

Prof. Vincenzo Romei is a Full Professor at the University of Bologna's Department of Psychology, leading the Consciousness Group. He holds a Ph.D. from the University of Rome 'La Sapienza' and has held roles at Harvard Medical School, Geneva Neurology Department, and the University of Essex, where he was a Full Professor. His research focuses on neural correlates of consciousness, using EEG, neurostimulation, and behavioral studies. He directs the Second Cycle Degree in Neuroscience and Neuropsychological Rehabilitation. Education : Ph.D. in Psychology, University of Rome 'La Sapienza' (2005) BSc/MSc in Psychology (110/110 cum laude), University of Rome 'La Sapienza' (2001) Research Interests : His work examines temporal properties of brain communication, alpha oscillations' role in sensory selection, and consciousness mechanisms. Techniques include EEG, TMS, and tACS to study perception, memory, and attention. Awards : 2020 Best Contribution Award (Transcranial Brain Stimulation Workshop) 2019 BIAL Grant (€47k) for boosting working memory 2016 Most Cited Current Biology Article (Thut et al., 2011) Grants & Leadership : Directed grants totaling over €400k, including an ERC Starting Grant and a BIAL-funded study. Serves as a Reviewer for journals like Current Biology and Neuron . Labs/Teams : Leads the Consciousness Group at the University of Bologna, collaborating internationally on neurostimulation and predictive coding models.

• Electrical Engineering
• Motor Diagnostics
• Condition Monitoring
• +۳ مورد دیگر

Lorenzo Mantione is a Researcher at the Department of Industrial and Information Engineering, University of Pavia. His work focuses on electrical energy engineering, with a specialization in fault detection and diagnostics of electrical machines, particularly induction motors. He investigates advanced techniques like time-frequency analysis and stray flux monitoring to address issues such as broken rotor bars and interturn short circuits under closed-loop control conditions. His research integrates power electronics, control systems, and electromagnetic analysis to enhance reliability and efficiency in electrical drives and motor systems. Recent publications highlight his contributions to motor diagnostics in both healthy and fault conditions, including single-phasing scenarios and closed-loop inverter-fed configurations. No scientific awards or grants are explicitly mentioned. No advising students or lab affiliations are listed in the provided information.

• Neurophysiology
• Social Cognition
• Motor System Physiology
• +۳ مورد دیگر

Prof. Maria Alessandra Umiltà is an Associate Professor of General Physiology at the University of Parma’s Department of Food and Drug Sciences. She holds adjunct positions at Columbia University’s Department of Art History and Archaeology (since 2010) and has held visiting roles at University College London. Her research focuses on the cortical motor system’s role in cognitive functions, social cognition, and embodied perception. She has contributed to projects like NeuroProbes and NEUROBOTICS, advancing technology for neural recording. Education: BSc in Biological Sciences (University of Bologna, 1996) PhD in Neuroscience (University of Parma, 2000) Research Interests: Prof. Umiltà investigates how motor systems underlie higher cognitive functions, including action understanding, emotional perception, and aesthetic evaluation. Her work bridges neuroscience with art, film, and social interaction, employing EEG, fMRI, and behavioral studies. Recent studies explore trauma’s impact on social cognition and embodiment in cinematic experiences. Articles Trends: Recent publications emphasize embodied cognition’s role in aesthetic judgment, emotional processing, and motor inhibition in language. Key themes include cross-modal correspondences, trauma’s neurobiological effects, and sensorimotor mechanisms in film perception. Grants & Projects: EU-funded NeuroProbes and NEUROBOTICS projects (neural interface tech) PRIN projects on motor cognition and mirror systems Labs/Teams: Collaborates with interdisciplinary groups studying art neuroscience, trauma effects, and embodied interaction. Leads studies on sensorimotor foundations of perception at the University of Parma.