جست‌وجوی استاد و پژوهشگر

Alberto Sorrentinoمشاهده پروفایل

دانشیار

• Numerical Analysis
• Inverse Problems
• Medical Imaging
• +۳ مورد دیگر

Alberto Sorrentino serves as an Associate Professor in the Department of Mathematics at the University of Genoa, actively teaching Mathematical Methods for Bioengineering, Numerical Calculation, and Reverse Problems courses for Mathematics and Bioengineering degree programs through the 2025-2026 academic year. His research specializes in Numerical Analysis and Inverse Problems , developing computational frameworks for Medical Imaging and Neuroscience applications. Key contributions include probabilistic source localization tools for M/EEG, validation methodologies for electrical source imaging, and Bayesian approaches to neuroimaging inverse problems under extreme conditions like space environments. Recent publications (2023-2024) reveal a consistent focus on uncertainty quantification in brain imaging, advanced EEG analysis pipelines for space medicine, and optimization of regularization techniques for MEG connectivity. His work bridges computational mathematics with biomedical challenges through interdisciplinary collaboration. Information regarding academic advising, research grants, laboratory facilities, or team structures is not documented in the available materials.

Serena Bovettiمشاهده پروفایل

دانشیار

• Neuroscience
• Adult Neurogenesis
• Neural Circuits
• +۵ مورد دیگر

Serena Bovetti serves as Associate Professor in the Department of Life Sciences and Systems Biology at the University of Turin, Italy. Her research integrates advanced optical techniques with cellular neuroscience to investigate neural circuit dynamics and adult neurogenesis, primarily within the olfactory system and neocortex. Her primary research interests encompass adult-born neuron integration in olfactory circuits, molecular mechanisms of neural plasticity, and the development of cutting-edge two-photon imaging methodologies. She specializes in patterned illumination techniques, optogenetic manipulation, and microendoscopic approaches for high-resolution in vivo brain imaging. Her work bridges molecular neuroscience with systems-level circuit analysis to understand how sensory experience shapes neural network organization. Analysis of her recent publications reveals a consistent focus on developing and applying optical tools to dissect neural circuit function. Her research demonstrates strong interdisciplinary integration between biomedical engineering and neuroscience, with particular emphasis on cortical state transitions, inhibitory circuit control, and experience-dependent plasticity in adult-born neurons. The work spans cellular, circuit, and systems neuroscience levels. No scientific awards were explicitly documented in the provided materials. Dr. Bovetti leads the Adult Neurogenesis research group and participates in the PRIN PNRR 2022 DELIMIT project (Discovering the Effectors of Lifestyle-driven Memory enhancement via Inflammation). While specific students aren't listed, her extensive publication record with junior co-authors indicates active mentorship of graduate researchers. She serves on the Departmental Council and teaches Comparative Anatomy courses across multiple biology degree programs. Her laboratory develops and applies advanced optical techniques including two-photon microscopy, patterned illumination systems, and microendoscopic platforms. The research team collaborates extensively on interdisciplinary projects involving neural circuit mapping, optogenetic control, and the molecular regulation of adult neurogenesis, with particular focus on the olfactory bulb as a model system for neuroplasticity studies.

• Augmented Reality
• Computational Geometry
• Computer Vision and Pattern Recognition
• +۱۲ مورد دیگر

Andrea Bottino is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) at the Polytechnic University of Turin. He has been actively involved in the Computer Graphics and Vision Group and leads various VR@POLITO initiatives. Chair of the Master HUMANAIZE program Coordinator of multiple Machine Learning for Vision and Multimedia courses Research Focus : Augmented and Virtual Reality for education and safety Computer Vision with applications to medical imaging and kinship analysis Human-Computer Interaction in immersive environments Multimodal Learning systems XR for Cultural Heritage Publication Trends : Recent works focus on AI applications , XR training systems , and computer vision techniques applied to medical diagnostics and cultural preservation . Leadership Roles : Scientific Director for MEI - Interactive Egyptian Museum Coordinator of PNRR Mission 4 projects Principal Investigator for Holo-BLSD and ALPTECH initiatives Labs and Collaborations : Active in Visionary LAB and VR@POLITO Collaborates with Balletto Teatro di Torino for cultural XR applications Partners with Fondazione Museo Egizio and Robin Studio

Bartolomeo Montrucchioمشاهده پروفایل

استاد

• Computer Vision
• Quantum Computing
• Image Processing
• +۵ مورد دیگر

Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.

• Neuroscience
• Anesthesia
• Biomedical Engineering
• +۳ مورد دیگر

Marco Cavaglia is a Senior Researcher in Industrial Bioengineering at the Polytechnic University of Turin , affiliated with the Department of Mechanical and Aerospace Engineering (DIMEAS) . With a PhD in Neuroscience (University of Insubria, 2004) and medical specialization in Anesthesia (University of Turin, 1994), he bridges clinical expertise with bioengineering research. Education: PhD in Neuroscience (2004), Specialization in Anesthesia (1994), Medicine and Surgery Degree (1990) Current Roles: Senior Researcher (2001-present), Inventor of CPAP device for low-oxygen consumption (patent pending), Review Editor for Frontiers in Cardiovascular Medicine Research Interests focus on: Lipid-centric neuroscience - Investigating lipid bilayer mechanics in neuronal membranes and consciousness modulation Heart-Brain interactions - Mitigating neurological complications in cardiovascular surgery Biomedical device innovation - Co-inventor of DIVOC (REVERSE COVID) ventilation system Information theory & meditation - Analyzing Maharishi Transcendental Meditation's neurological effects His scientific contributions include patents, 17+ publications, and editorial leadership. Teaching spans Biomechanical Design and Multiscale Biomechanics in Biomedical Engineering (2021-2024). Awards include the 2021 Wiley TOP DOWNLOADED ARTICLE recognition.

• Energy deposition in matter
• Experimental mechanics
• High strain rate
• +۷ مورد دیگر

Lorenzo Peroni is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Mechanical and Aerospace Engineering (DIMEAS). He serves as Deputy Coordinator of the Doctoral School of Mechanical Engineering and is a member of the Interdepartmental Center J-Tech@PoliTO. His research focuses on high strain rate mechanics , materials behavior under extreme conditions , and non-linear finite element modeling . Research Interests include experimental analysis of materials under laser-driven shocks, dynamic deformation of composites, and numerical simulation techniques for blast injury prediction. His recent work explores 3D printing of crash-absorbing structures and recycling of fiber-reinforced polymers . Scientific Contributions : AIAS Capocaccia Award (2007) Fellow of Italian Association of Stress Analysis (2001-) Associate Editor for Metals (2021-) Teaching Activities span doctoral courses on dynamic structural simulation (2013-2025) and master's level instruction in Mechanics of Materials, Numerical Modeling, and Machine Construction. He has supervised numerous research projects including EU H2020 ARIES infrastructure and commercial contracts for motorcycle chassis development.

• Bayesian inference
• Biostatistics
• Clinical trials
• +۷ مورد دیگر

Mauro Gasparini is a Full Professor at the Department of Mathematical Sciences (DISMA) of Polytechnic University of Turin. He serves as Director of DISMA since 2019, Member of Academic Senate, and co-leader in the SmartData@PoliTO Big Data Laboratory. His career spans academia and industry, including roles at Purdue University (Assistant Professor 1992-1996) and Novartis (Senior Statistician 1996-1998). He has been Editor of Biometrical Journal (2012-2015) and maintains referee activities across international journals. PhD from University of Michigan (1992, Dirichlet process applications) Academic leadership: Department Director, Editorial boards, ISTAT Advisor Research spans Bayesian methodology with biomedical applications Maintains collaborations with Novartis, Chiesi, and research centers His research interests focus on Bayesian inference , Biostatistics , and Clinical trials methodology, particularly addressing issues in pharmaceutical development, genomic data analysis, and medical decision-making. Recent work includes vaccine efficacy modeling, optimal imaging timing for cancer diagnostics, and adaptive trial designs. Key publication trends show interdisciplinary applications in Statistics in Medicine , Biometrics , and Statistical Methods in Medical Research , with emphasis on biomedical data science, Bayesian adaptive methods, and clinical decision support systems. Scientific contributions include: Editor, Biometrical Journal (2012-2015) Advisor, Italian National Institute of Statistics (2020-2024) Leadership in multiple research projects (NODES, SORGENTE, IDEAS) As PhD advisor, he supervises students in: Shaoshi Tang (Clinical trial modeling) Saeed Sani (Biomedical data analysis) Marco Ratta (Genomic statistics) Luca Rondano (Bayesian methods) Vittorio Zampinetti (Tumor DNA sequencing) Fulvio Di Stefano (Evidence-based decision statistical methods) He leads research projects in pharmaceutical statistics, genomic surveillance, and spatial risk assessment frameworks, with recent emphasis on SARS-CoV-2 analysis and cancer progression modeling.

• Neurology
• Dementia
• Alzheimer's Disease
• +۵ مورد دیگر

Salvatore Mazzeo is a fixed-term researcher (type B) in Neurology at Vita-Salute San Raffaele University, where he conducts research focused on early and atypical manifestations of dementia. His clinical work takes place at the Neurology Unit of IRCCS Policlinico San Donato. Dr. Mazzeo holds a PhD in Neuroscience from the University of Florence (2024) and is a specialist in Neurology from the same institution (2020). His research interests span dementia, Alzheimer's Disease, cognitive decline, neurodegenerative disorders, artificial intelligence applications in medicine, biomarkers, and genetics. His work particularly emphasizes the clinical, cognitive, genetic, and biological characteristics of early dementia manifestations, utilizing artificial intelligence techniques. His publication record reveals a strong focus on biomarkers (particularly neurofilament light chain), genetic factors (including HTT gene variations), and machine learning approaches for predicting cognitive decline progression. Dr. Mazzeo's recent publications show a clear trend toward integrating multiple biomarkers (plasma biomarkers, EEG, imaging) to develop prediction models for cognitive decline progression. His work bridges clinical neurology with advanced computational approaches, particularly in identifying early markers along the Alzheimer's Disease continuum from subjective cognitive decline to dementia. Junior Faculty Award - 18th International Conference on Alzheimer's & Parkinson's Diseases (2024) American Academy of Neurology's International Scholarship Award (2023) 2nd place winner, 'La ricerca in 3 minuti' Award (2021) Best poster, Italian Society for the Study of Dementias Congress (2020) Best poster, Winter seminar on Dementia and Neurodegenerative Disorders (2020) Best oral presentation, Winter seminar on Dementia and Neurodegenerative Disorders (2018) Dr. Mazzeo serves as an elected member of the Board of Directors for SINdem Tuscany section since 2021. His clinical work involves neurology and neurorehabilitation at major Italian hospitals, with teaching responsibilities in neurology and cognitive assessment for medical and rehabilitation students. His research combines clinical neurology with advanced computational approaches to identify early markers of cognitive decline progression.

• Nonlinear Dynamics
• Chaos Theory
• Systems Biology
• +۵ مورد دیگر

Samuel Zambrano Silva is an Associate Professor of Applied Physics at Vita-Salute San Raffaele University (Milan, Italy) since October 2020, previously serving as Senior Researcher (2017-2020) and Postdoctoral Fellow (2011-2017). He is affiliated with the IRCCS San Raffaele Scientific Institute and leads the Live-Cell Transcription and Chromatin Group within the Chromatin Dynamics Unit. PhD in Physics (2007, Universidad Rey Juan Carlos, Madrid) Master in Computational Sciences (2006, URJC) BSc in Theoretical Physics (2003, Universidad Complutense, Madrid) His research focuses on nonlinear dynamics in biological systems , particularly the quantitative analysis of transcription factor dynamics (NF-κB, p53) in inflammation and cancer. He develops mathematical models of coupled oscillators to study tissue-level inflammation and investigates chromatin organization in oncogene-induced senescence . Current projects include "New Preclinical and Clinical Approaches to Mesothelioma" (Ministry of Health, 2024-) and "D3 for HEALTH" (2003-2027). Recent publications (2021-2025) span transcription factor dynamics in Cell Death & Disease , Molecular Psychiatry , and Frontiers in Immunology , with methodological work in IEEE Transactions on Circuits and Systems . His 15 most recent articles reveal trends in systems biology of inflammation , cancer-associated signaling , and nonlinear dynamics in medical contexts . Marie Curie Intra-European Fellowship (2012-2014) Fellow of Societa Italiana di Biofisica e Biologia Molecolare (2016-) Fellow of Societa Italiana di Caos e Complessita (2019-) As educator, he teaches Medical Physics , Biomedical Signal Processing , and Biostatistics across multiple programs including Biotechnology, Medicine, and Health Informatics. He has delivered over 20 invited lectures at international institutions. Grants include: "Spatiotemporal dynamics of inflammation" seed grant (2018), "Nuclear dynamics in myogenesis" (2021), and principal investigator for AIRC and Ministry of Health projects studying NF-κB in Multiple Myeloma and mesothelioma immuno-oncology.

Carla Limongelliمشاهده پروفایل

دانشیار

• Artificial Intelligence in Education
• Learning Management Systems
• Concept Mapping
• +۶ مورد دیگر

Carla Limongelli is an Associate Professor at Roma Tre University's Department of Civil, Computer and Aeronautical Engineering within the School of Engineering. Her academic work bridges computer science with educational applications, focusing on intelligent systems for learning environments. Her research interests center on artificial intelligence applications in education, with particular expertise in concept mapping systems, learning management platforms, and technology-enhanced museum experiences. Dr. Limongelli has developed innovative approaches to adaptive learning, social robotics in educational contexts, and multimodal learning analytics that track both physiological responses and behavioral patterns. Her recent publication trends reveal a strong focus on leveraging large language models for educational purposes, with increasing attention to multimodal applications combining visual, textual, and physiological data streams. This work spans from automated question generation to social robot interactions in museum settings. Dr. Limongelli has contributed significantly to the development of systems that support teachers in course building, concept map creation, and personalized learning path configuration, with applications extending from traditional educational settings to cultural heritage environments.

• Fluid Mechanics
• Thermal Engineering
• Heat Transfer
• +۴ مورد دیگر

Paolo Oresta serves as an Associate Professor within the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy, with primary contact via paolo.oresta@poliba.it and departmental address at Via Orabona 4, 70125 Bari. His research program centers on fluid mechanics and thermal engineering, with core expertise in nanofluid thermal conduction, turbulent convection phenomena, energy recovery systems, and fluid machinery design. He investigates heat transfer enhancement mechanisms, multiphase flow dynamics, and thermal energy storage optimization through computational modeling and experimental validation. Analysis of his 15 most recent publications (2023-2017) reveals consistent focus on nanoscale heat transfer in fluid suspensions, 3D flow reconstruction techniques, and Industry 4.0 applications for industrial plants. His work bridges theoretical fluid dynamics with practical energy systems engineering, particularly in thermal storage and pressure recovery devices, demonstrating strong interdisciplinary integration across mechanical, thermal, and computational domains.

• Additive Manufacturing
• 3D Printing
• Soft Robotics
• +۳ مورد دیگر

Gianluca Percoco is a Full Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari (Poliba), specializing in manufacturing technologies and systems. His research focuses on advancing 3D printing methodologies for soft robotics, sensors, and biomedical applications. Department: Mechanics, Mathematics & Management Research Themes: Additive manufacturing, material extrusion, bioinspired structures His recent work explores ironing process optimization for improved sensor sensitivity, electromagnetic assistance in silicone-based soft robotics, and machine learning for predicting interlayer adhesion in multi-material printing. Publications from 2023-2025 highlight innovations in 3D printed sensors , self-healing polymers , and microfluidic devices . Contact: gianluca.percoco@poliba.it | Tel: +39 080 596 3267

• Economics
• Political Economy
• Cannabis Legalization
• +۱۳ مورد دیگر

Marco Rossi is a Researcher at the Department of Social and Economic Sciences , Università degli Studi di Roma "La Sapienza." His academic focus includes Economics, Political Economy, and Public Policy , with a specialization in cannabis legalization, sports betting, aging populations, and welfare economics. His research bridges economic theory with interdisciplinary applications, as evidenced by publications on topics ranging from sustainable materials to archaeological conservation . Key areas include economic policy, resource allocation, and social market dynamics. Scientific awards include the 2023 Best Video at the International Symposium for Testing and Failure Analysis and 3rd place in the False Color Image Category at the same symposium. His work also emphasizes non-invasive analytical techniques, such as Tip-Enhanced Raman Spectroscopy and X-ray Microscopy , for studying both modern and historical materials.

Alessandro Giuseppiمشاهده پروفایل

استادیار

• Intelligent Control Systems
• Network Control
• Smart Networks
• +۴ مورد دیگر

Alessandro Giuseppi is an Assistant Professor in Tenure Track at the University of Rome La Sapienza's Department of Computer, Control, and Management Engineering (DIAG). He leads research in intelligent control systems and smart networks at the Network Control Laboratory, while serving as CTO of the startup Automation Intelligence and Control (AICO). As Associate Editor for IEEE Transactions on Automation Science and Engineering and International Journal of Control, Automation, and Systems , he bridges academic research with practical applications. M.Sc. & Ph.D. in Automatic Control from La Sapienza National Scientific Qualification for Associate Professor (2023) Active in EU/National funded projects since 2016 His research spans intelligent systems, network control, and AI integration in automation. Publications emphasize federated learning, deep learning applications, and control theory advancements across domains like autonomous vehicles, healthcare, and industrial automation. Key awards include the Minerva Prize (twice) and Telespazio's T-TeC. Recent publications address: (1) Federated learning with adaptive topologies, (2) Healthcare AI for diabetes management and portal hypertension diagnosis, (3) Industrial AI for manufacturing quality control, and (4) Smart network control in 5G/6G telecommunications. 2023 Premio Minerva - Best Postdoctoral Researcher 2021 Premio Minerva - Best PhD Candidate 2021 Best ETRI Journal Paper 2020 Telespazio Technology Contest Winner As course instructor, he teaches Intelligent and Hybrid Control, Automazione, and Laboratorio di Automatica. His leadership extends to co-founding startup AICO and collaborating with CRAT research consortium on Horizon Europe projects.

Manuela Pettiمشاهده پروفایل

استادیار

• Precision Medicine
• Biological Network Inference
• Network Neuroscience
• +۳ مورد دیگر

Manuela Petti is an Assistant Professor of Biomedical Engineering at Sapienza University of Rome's Department of Computer, Control, and Management Engineering since 2019. She is affiliated with the Bioengineering and Bioinformatics Lab and the National Bioengineering Group (GNB), and serves as Associate Editor for Frontiers in Medical Engineering (Computational Medicine section). Her academic background includes a cum laude M.Sc. in Biomedical Engineering from Sapienza University of Rome (2011) and a Ph.D. from the University of Bologna (2016), with a visiting stint at Indiana University Bloomington (2015). M.Sc. Biomedical Engineering, Sapienza University of Rome (2011, cum laude) Ph.D. Biomedical Engineering, University of Bologna (2016) Dr. Petti's research pioneers network-based computational approaches for precision medicine, integrating molecular data analysis, biological network inference, and brain connectivity estimation. Her work bridges bioinformatics and biomedical engineering to develop advanced methods for cancer research (focusing on sexual dimorphism and ethnic disparities), network neuroscience, and bioelectrical signal processing, with significant applications in oncology and neurology. Analysis of her 56 Scopus-indexed publications (1282 citations, H-index 13) reveals dominant trends in network medicine for cancer diagnostics, including immunological network signatures for immunotherapy response, miRNA regulation networks for sex disparities, and multi-omics integration for biomarker discovery. Her recent work emphasizes radiomics, drug repurposing, and patient stratification through network-based approaches. As an educator, she teaches "Bioinformatics and Network Medicine" and "Digital Epidemiology and Precision Medicine" in Sapienza's Data Science MSc program, having supervised over 10 Master's theses in Data Science, Computer Science, and Bioinformatics. She actively contributes to the Bioengineering and Bioinformatics Lab at Sapienza University of Rome, where her team develops computational frameworks for translating network-based discoveries into clinical applications, particularly in cancer therapeutics and neurological disorders.