جستجوی استاد راهنمای دانشگاهی

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.

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

Giulia Giordano is a Full Professor in the Department of Industrial Engineering at the University of Trento, Italy, where she leads the Dynamical Networks and Systems Biology research group. She also holds a dual appointment as Visiting Professor and Delft Technology Fellow at the Delft Center for Systems and Control, Delft University of Technology, The Netherlands. Her career includes previous positions as Assistant Professor at Delft University of Technology (2017-2019), Postdoctoral Research Fellow at Lund University, Sweden (2016-2017), and Research Fellow at the University of Udine, Italy (2016). Giulia earned her Ph.D. in Industrial and Information Engineering: Automation (Excellent) from the University of Udine with a thesis titled "Structural Analysis and Control of Dynamical Networks." She completed her M.Sc. and B.Sc. in Electrical Engineering (both Summa cum laude) at the same institution. She also undertook research visits at Caltech (2012) as a SURF Fellow and at the University of Stuttgart (2015) as a DAAD Research Scholar. Her primary research focuses on the analysis and control of dynamical networks with applications in systems biology, mathematical ecology, and mathematical epidemiology. She develops mathematical frameworks that bridge control theory, network theory, and dynamical systems to address complex problems in biological systems. Her recent work spans epidemic modeling, opinion dynamics, biochemical networks, and neurological disorders, with a particular emphasis on structural analysis of networked systems. She employs both theoretical and computational approaches to understand system behavior under uncertainty. Giulia's publications reveal a strong interdisciplinary focus, spanning from theoretical control systems to practical applications in epidemiology and biology. Her recent work shows increasing emphasis on epidemic modeling (particularly related to mpox and SARS-CoV-2), network synchronization, and the application of control theory to biological phenomena like fibromyalgia pathogenesis and opinion formation. Many of her papers appear in top-tier control journals including Automatica and IEEE Transactions on Automatic Control. 2024: Outstanding Service as Associate Editor of IEEE Control Systems Letters 2021: SIAM Activity Group on Control and Systems Theory Prize 2020: Outstanding Reviewer, Annals of Internal Medicine 2017: NAHS Best Paper Prize and EECI PhD Award 2016: Outstanding TAC Reviewer, IEEE Transactions on Automatic Control Giulia actively mentors students and postdoctoral researchers, currently supervising five postdoctoral researchers and two Ph.D. students at the University of Trento. She has advised numerous M.Sc. and B.Sc. students on topics ranging from bio-inspired modeling to optimal control of epidemic systems. Her research is supported by competitive grants including the ERC Starting Grant INSPIRE (Integrated Structural and Probabilistic Approaches for Biological and Epidemiological Systems). She serves as Associate Editor for IEEE Control Systems Letters and Automatica, and is a Senior Member of IEEE and the Control Systems Society. Giulia leads the Dynamical Networks and Systems Biology research group at the University of Trento, which maintains strong international collaborations across Europe and North America. The group's work combines theoretical advances in control theory with practical applications to pressing problems in public health and biological systems, demonstrating the power of mathematical approaches to understanding complex phenomena in the life sciences.

• Automatic control
• Complex networks
• Control systems
• +۱۲ مورد دیگر

Federica Agosta is an Associate Professor of Neurology at Vita-Salute San Raffaele University (UniSR) and Functional Unit Head at San Raffaele Hospital (OSR) , Milan, Italy. Her research focuses on neuroimaging in neurodegenerative diseases , including Alzheimer's, Parkinson's, and amyotrophic lateral sclerosis (ALS). PhD in Experimental Neurology (2012), UniSR Neurology Qualification (2008), UniSR MD in Medicine and Surgery (2003), UniSR Research Interests : Federica Agosta's work bridges functional MRI (fMRI) with clinical applications in neurodegenerative disorders. She investigates: Brain network alterations in Alzheimer's and Parkinson's Neuroimaging biomarkers for ALS and dementia Gender-specific neurological manifestations Advanced MRI techniques for early disease detection Cognitive rehabilitation strategies Neurodegeneration and brain connectivity Recent Publications highlight trends in neuroimaging endpoints for ALS, memory systems, Parkinson's scales, sleep apnea, and epilepsy diagnostics. Her ERC Starting Grant (2017) and European Grand Prix for Young Researcher (2019) underscore her leadership in neurodegenerative disease research. Scientific Roles : Coordinator, Doctoral Program in Cognitive and Behavioral Sciences (UniSR, 2024–) Co-PI, San Raffaele Neurotech Hub (2024–) President, Master's Degree Council in Rehabilitation Sciences (2021–) Visiting Professor, University of Belgrade (2017–) Editorial & Societal Contributions : Member of the EAN Scientific Committee , Co-Chair of the ALS & FTD Panel , and active roles in societies like SIN and SINdem . She serves on editorial boards for Neurological Sciences and Neurology .

• Neuroimaging
• Neurodegenerative Diseases
• Alzheimer's Disease
• +۴ مورد دیگر

Daniele Loiacono is an Associate Professor at Politecnico di Milano's Department of Electronics, Information, and Bioengineering (DEIB), affiliated with the Artificial Intelligence and Robotics Lab (AIRLab). His research focuses on interdisciplinary applications of Artificial Intelligence, Machine Learning, and Deep Learning in medical imaging, radiation therapy, and procedural content generation for games. He leads projects in synthetic image generation for radiotherapy quality assurance, automated treatment planning, and bias analysis in medical AI systems. Key research areas include medical image synthesis using GANs, radiation therapy optimization, and algorithmic game design. His contributions span clinical applications such as total marrow irradiation (TMI) planning and lymph-node segmentation, alongside innovations in shader generation and interactive evolutionary tools for game development. Loiacono collaborates on multi-center studies to validate AI-driven workflows in healthcare and has pioneered methods combining lean Six Sigma with machine learning for treatment process improvement. His work bridges clinical medicine and computer science, addressing challenges in radiation oncology, anatomical imaging, and procedural content automation. The AIRLab serves as a hub for his research, integrating AI advancements into real-world medical and engineering solutions.

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +۶ مورد دیگر

Pietro Liò is a Full Professor in the Department of Computer Science and Technology at the University of Cambridge, where he is also a member of the Artificial Intelligence group. His work bridges computer science and biomedical applications, with a strong focus on advancing AI methods for healthcare. Research Interests: His research is centered on developing Artificial Intelligence and Computational Biology models to unravel the complexity of diseases and support personalized and precision medicine. A current emphasis is on Graph Neural Network modeling, leveraging topological data structures to represent biological and medical systems. His interdisciplinary background enables innovative approaches at the intersection of machine learning and life sciences. The trends in his research, though no specific articles are listed, indicate a strong focus on AI-driven biomedical discovery, particularly using deep learning on structured data for health applications. This includes modeling biological networks, disease mechanisms, and patient-specific conditions through advanced neural architectures. Scientific Awards: As a principal investigator and academic leader, Pietro Liò likely supervises PhD and postdoctoral researchers and secures research grants in AI for health, though specific advisees and funding details are not mentioned in the text. His dual PhD background and affiliation with a leading AI group suggest a robust research program with significant grant involvement. He is associated with AI research activities at Cambridge, including seminars and software development, possibly contributing to or leading a research lab or initiative focused on AI applications in biology and medicine, though no formal lab name is provided beyond the general AI group membership.

• Artificial Intelligence
• Computational Biology
• Graph Neural Networks
• +۵ مورد دیگر

Andrea Falini is a Full Professor of Neuroradiology at the Vita-Salute San Raffaele University (School of Medicine). He holds leadership roles including Head of the Neuroradiology Department at the Scientific Institute S. Raffaele Hospital and Head of the Advanced Diagnostic in Neuro-oncology Unit. His career spans clinical, academic, and administrative roles since 1991, with extensive experience in neuroradiology, neuro-oncology, and neuroimaging research. Education: MD (1986, University of Milan), PhD in Neurological Sciences (1989), and specialized training in Neurology and Radiology at leading institutions, including a visiting scholar position at UCSF (1996). Research interests focus on advanced MRI techniques, neuro-oncology, neurodegenerative diseases, and cognitive neuroscience. His work emphasizes functional MRI, diffusion tensor imaging, and clinical applications in glioma management and neurodegenerative disorders. Awarded the 1989 'De Visart' Prize and grants supporting his international collaborations. He has authored 218+ peer-reviewed articles, with an H-index of 40+, and actively contributes to academic committees and international conferences. Leadership roles include Vice-Director of the Neuroscience Division (2014–present) and coordination of the BraiMap Research Program. His academic teaching spans neuroradiology, biomedical engineering, and cognitive neuroscience courses.

• Advanced MR Techniques
• Neuro-oncology
• Degenerative Diseases
• +۳ مورد دیگر

Della F. Makower, M.D. is an Oncology specialist at Montefiore Medical Center with a robust research portfolio focusing on breast cancer treatment, chemotherapy effects, and health disparities. With 49 publications and an h-index of 21, she has made significant contributions to understanding cancer treatment outcomes, particularly regarding social determinants of health and racial disparities in cancer care. Her research interests span multiple critical areas in oncology including: Breast Cancer (100% research focus) Chemotherapy (76% research focus) Recurrent Disease (61% research focus) Malignant Neoplasm (44% research focus) Endocrine Therapy (30% research focus) Hormone Receptor research (25% research focus) Dr. Makower's recent publications demonstrate a strong emphasis on health equity, with multiple studies examining racial disparities in cardiotoxicity, the impact of social determinants on cancer treatment outcomes, and specialized research on breast cancer in diverse patient populations. Her work frequently appears in high-impact journals including the Journal of the American Heart Association, Breast Cancer Research and Treatment, Cancer, and the Journal of Clinical Oncology. Notable research initiatives include: ECOG-ACRIN EA1131 trial comparing adjuvant platinum versus capecitabine for triple-negative breast cancer ECOG-ACRIN EAZ171 trial investigating germline predictors of taxane-induced neuropathy in Black women with breast cancer Studies examining the relationship between social determinants of health and anthracycline cardiotoxicity Research on the impact of the COVID-19 pandemic on breast cancer screening and diagnosis Her collaborative approach is evident in the multi-institutional nature of her research, with frequent collaborations across major cancer research networks. Dr. Makower's work has garnered significant attention, with multiple studies picked up by news outlets and discussed on social media platforms including X (Twitter) and Facebook.

• Breast Cancer
• Chemotherapy
• Pharmacology
• +۷ مورد دیگر

Maiko Favaro is a Type B Researcher at Sapienza University of Rome's Department of Modern Literature and Culture, having joined in August 2022 through the 'Rita Levi Montalcini' Young Researcher Program. Previously, she served as Assistant of Italian Literature at Université de Fribourg from 2017 to 2022 and held prestigious fellowships including a Marie Skłodowska-Curie Individual Fellowship at Freie Universität Berlin. Her academic journey began with a Perfezionamento in Literary and Philological Disciplines from Scuola Normale Superiore di Pisa (2014), preceded by a Laurea Specialistica in Italian Language and Literature from Università di Pisa (2007), where she graduated with highest honors. Her educational path also included research periods at Harvard University, École Normale Supérieure in Paris and Lyon, and Université de Fribourg. Favaro's research focuses on Italian Renaissance literature with particular emphasis on heroic virtue in Renaissance literature, Petrarchism, and the reception of Dante. Her work explores the intersections between philosophical thought, literary representation, and cultural context in sixteenth and seventeenth century Italy. She has made significant contributions to understanding the representation of heroes in Renaissance epic, the topos of lovers' separation, and the role of women in Renaissance dialogues. Her publication record demonstrates consistent scholarly productivity across multiple formats including monographs, edited volumes, and journal articles. Recent work shows increasing focus on Torquato Tasso's prose works, Renaissance philosophical dialogues, and the Friulian literary tradition. Her scholarship often bridges literary analysis with intellectual history and philosophical inquiry. Premio Tasso 2016 for her article on heroic virtue Canadian Society for Italian Studies Award 2011 Premio di laurea from Società Filologica Friulana Favaro has secured significant research funding including the competitive 'Rita Levi Montalcini' fellowship, a Marie Skłodowska-Curie Individual Fellowship, and an Alexander von Humboldt Fellowship (which she declined). She serves on multiple editorial boards including 'Letteratura cavalleresca italiana' and 'Rivista di letteratura tardogotica e quattrocentesca', and has organized international conferences on Renaissance literature. Her current research continues to explore heroic virtue in Italian Renaissance literature while expanding into Friulian literary traditions and Dante reception.

• Italian Renaissance Literature
• Heroic Virtue in Renaissance Literature
• Petrarchism
• +۴ مورد دیگر

Riccardo Muradore is an Associate Professor at the University of Verona in the Department of Engineering for Innovation Medicine, within the Engineering and Physics section. His academic work focuses on robotics, control systems, and automation technologies with applications across various domains including industrial, surgical, and autonomous vehicle systems. Professor Muradore's research spans several key areas in robotics and control engineering: Industrial robotics and automation systems Teleoperation techniques for remote control of robotic systems Surgical robotics for medical applications Control and systems theory fundamentals Process control and fault detection methodologies Adaptive Optics technologies Unmanned Aerial and Ground Vehicles development His research is supported by numerous national and European projects as well as industry contracts, with notable projects including SARAS (Smart Autonomous Robotic Assistant Surgeon), MURAB (MRI and Ultrasound Robotic Assisted Biopsy), and ISUR (Intelligent Surgical Robotics). Professor Muradore holds several administrative roles including Communication and Third Mission Representative for the Department of Engineering for Innovation Medicine, and serves on various teaching committees and councils. He is affiliated with multiple research groups: ForMe - Formal Methods for the Design of Engineering Systems Networked Systems and Technologies PARCO – Parallel Computing Robotics, Artificial Intelligence and Control Sistemi robotici e automazione (Robotic systems and automation) His teaching portfolio includes Advanced Control Systems, Dynamic Systems, Robotics, Vision and AI, and other courses related to control engineering and robotics.

• Industrial robotics
• Teleoperation
• Surgical robotics
• +۶ مورد دیگر

Gabriella Casalino is an Assistant Professor at the University of Bari Aldo Moro, Department of Computer Science, and a key researcher at CILAB - Computational Intelligence Lab. Her work focuses on Computational Intelligence methods for interpretable data analysis, particularly in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence (XAI) within medical and educational domains. She has contributed to innovative approaches in smartphone-based health monitoring, fuzzy logic applications, and remote vital sign detection via photoplethysmography. Education : Ph.D. in Computer Science, with advanced training at institutions like Universitat de Girona and Université de Mons. Research Trends : Recent publications highlight applications of evolving granular computing, neuro-fuzzy systems, and explainable AI in hypertension prediction, bipolar disorder monitoring, and educational data analysis. Key subfields include remote health monitoring, medical data streams, and hybrid AI models. Grants : Research funded by AIRC (Italian Cancer Research Foundation), focusing on computational methods for healthcare challenges. Labs & Collaborations : Active in CILAB, collaborating on projects involving mHealth solutions, cardiovascular risk assessment, and intelligent educational systems.

• Computational Intelligence
• eHealth
• Data Stream Mining
• +۵ 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.

• Artificial intelligence
• Biomedical signal processing
• Human movement analysis
• +۱۲ 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.

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

Andrea Passerini is a Full Professor in the Department of Information Engineering and Computer Science at the University of Trento, Italy, where he also serves as Coordinator of the PhD programme in Information Engineering and Computer Science (Ministerial Decree 45/2013). His academic footprint spans multiple departments including Mathematics, Sociology, Cellular Biology, and Industrial Engineering, reflecting deep interdisciplinary engagement across computational sciences and life sciences. His research centers on Machine Learning and Data Mining with specialized expertise in Neuro-Symbolic AI , Probabilistic Reasoning , and Statistical Relational Learning . He pioneers methods for graph-based learning, medical AI applications, and explainable systems, with significant contributions to bioinformatics (particularly RNA-protein interactions) and healthcare diagnostics. His work bridges theoretical rigor with practical implementations in critical domains. Analysis of his 2025 publications reveals dominant trends in neuro-symbolic integration for graph data, human-AI collaboration in medical decision-making, and robust recommender systems. His research increasingly focuses on interpretable AI for high-stakes applications like surgical planning and physician support, while advancing foundational techniques in graph neural networks and concept-based modeling. As PhD programme Coordinator, Professor Passerini mentors doctoral candidates across AI and computer science disciplines. His collaborative network extends to medical researchers at CIBIO (Cellular, Computational and Integrative Biology department) and industrial partners, though specific lab structures aren't documented in available materials. Current projects emphasize medical AI validation, temporal network modeling, and LLM integration with structured reasoning frameworks.

• Machine Learning
• Data Mining
• Bioinformatics
• +۱۱ مورد دیگر

Antonio Pierro is a Full Professor of Social Psychology at the Department of Psychology of Developmental and Socialization Processes, Sapienza University of Rome. He holds a Ph.D. in Psychology from Sapienza and has held post-doctoral positions there, including a grant from the Istituto Superiore di Sanità. His academic roles include coordinating the Social Psychology Ph.D. Programme and serving as a reviewer for top journals like Psychological Science and Journal of Personality and Social Psychology . Education: Bachelor's Degree in Psychology, Sapienza University of Rome Ph.D. in Social and Developmental Psychology, Sapienza University of Rome Postdoctoral Researcher at Sapienza Research Interests: Pierro’s work focuses on the interface between motivation and cognition, including: Power dynamics and leadership styles Persuasion and communication strategies Group processes and self-regulation Epistemic motivations (e.g., need for cognitive closure) Political psychology and extremism Cultural tightness-looseness and its societal implications Recent Projects: Ecological threats and their impact on cultural attitudes Role of cognitive closure in prejudice and leadership preferences Psychology of extremism and motivational imbalance Teaching: Currently teaches courses on Extremism Psychology and Persuasion & Interpersonal Influence at Sapienza. Courses are offered in Italian and English, with materials available via Google Classroom. Awards & Grants: Over 300 publications in international journals, though no specific awards are listed. Active in securing grants and maintaining collaborative research networks. Labs/Teams: Leads research projects on cultural tightness, pandemic psychology, and motivational dynamics within the Department of Psychology at Sapienza.

• Power and Leadership
• Persuasion
• Group Processes and Self-Regulation
• +۵ 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.

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