جستجوی استاد راهنمای دانشگاهی

• Machine learning
• Artificial intelligence
• Big data analytics
• +۸ مورد دیگر

Gianluca Setti is a Full Professor at the Department of Electronics and Telecommunications (DET) at Polytechnic University of Turin, where he has been serving since 2017. He previously held positions at the University of Ferrara from 1997 to 2017. His institutional roles include being the Contact Person for the Research Quality Evaluation process, Member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, and Member of the University Quality Assurance Committee. He serves as Editor-in-Chief of the Proceedings of the IEEE, the first non-US editor to hold this position. Dr. Setti's research spans multiple interdisciplinary fields including machine learning, artificial intelligence, big data analytics, Internet of Things, biomedical signal processing, power electronics, and electromagnetic compatibility. His work bridges theoretical foundations with practical applications, particularly focusing on compressed sensing, neural networks, and circuit design for specialized applications. His research has significant implications for healthcare, sustainable infrastructure, and next-generation electronics. His publication record reveals a consistent trajectory from foundational work in chaotic systems and neural networks to contemporary applications in AI, IoT, and edge computing. The most recent publications demonstrate his focus on anomaly detection at the edge, neural oracles for biosignal processing, and power electronics innovations. His work shows strong integration between theoretical signal processing and practical circuit implementation. 1998 Caianiello prize (best Italian Ph.D. thesis on Neural Networks) IEEE Fellow (2006) IEEE Circuits and Systems Society Distinguished Lecturer (2004, 2015) 2004 IEEE CAS Society Darlington Award 2013 IEEE CAS Society Meritorious Service Award 2013 IEEE CAS Society Guillemin-Cauer Award 2019 IEEE Transactions on Biomedical Circuits and Systems best paper award Multiple best paper awards at major conferences including ECCTD2005, EMCZurich2005, ISCAS2011, PRIME2019, and EMCCOMPO2019 Dr. Setti has supervised numerous PhD students across various research domains including electromagnetic compatibility, signal and power integrity, communication networks, mechatronics and robotics. His research is supported by significant funding including national PRIN projects, EU-funded JTI-ECSEL initiatives, and commercial contracts. He leads the VLSILAB Group at DET, focusing on circuit architectures, embedded systems, and AI applications. His current projects include DECORI (anomaly detection), StorAIge (embedded storage for AI), PROGRESSUS (energy infrastructure), CONNECT (smart grid), and CONVERGENCE (wearable healthcare applications).

• Artificial Neural Networks
• Chaotic Oscillators
• Circuit Analysis and Modeling
• +۹ مورد دیگر

Fernando Corinto is a Research Fellow at the Department of Electronics and Telecommunications (DET) , Polytechnic University of Turin , and a member of the SmartData@PoliTO Big Data and Data Science Laboratory. He holds a European Doctorate in Electronics and Communications Engineering (2005) and was a Marie Curie Fellow (2004) at University College Dublin, focusing on cardiac fibrillation modeling and chaotic systems. Education : Laurea (2001) and Ph.D. (2005) in Electronics and Communications Engineering from Politecnico di Torino His research spans nonlinear dynamical systems , memristor devices , and complex network modeling , with over 50 publications. Key projects include RECOMMEND (2024–2027) and COSMO (2020–2024), where he served as Scientific Director . His recent work involves memristor-based neuromorphic systems and nonlinear circuit applications in biomedical and industrial contexts. He supervises PhD students Rosanna Cavazzana and Davide Rossetti and teaches Nonlinear Systems for Engineering (Mathematical Engineering) and Memristor-based Neuromorphic Systems (Electrical Engineering). His scientific contributions include the Flux-Charge Analysis Method and Bifurcations without Parameters in memristor circuits. He holds a national/international patent for skin ulcer classification algorithms and has led commercial research projects in biomedical and packaging systems.

• Machine Learning
• Data Mining
• Bioinformatics
• +۱۱ 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.

• Urban Morphology
• Sustainable Urban Forms
• Urban Planning Appraisal
• +۱۷ مورد دیگر

Luca D'Acci is an Associate Professor in Sustainable Urban Forms and Evaluations at the Polytechnic of Turin, affiliated with the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST). He holds additional affiliations as a Senior Research Fellow at the University of Portsmouth and as a member of research networks at the University of Birmingham and Erasmus University Rotterdam. His academic journey includes international roles such as Head of Urban Environment at Erasmus University Rotterdam and visiting researcher positions at the University of Oxford, University of Cambridge, and ETH Zurich. Education: MSc in Architecture-Science of Cities, Polytechnic of Turin (2003, cum laude) PhD in Economic Assessments, Polytechnic of Turin (2007) BSc in Mathematics, University of Turin (2007) BSc in Construction Engineering, Polytechnic of Turin (2009, cum laude) Post-PhD in Urbanism, University of Campinas (2010) Anthropology, University of Oxford (2020, 20 credits) Luca D'Acci’s research focuses on urban morphology, urban allometry, isobenefit urbanism, and the socio-economic-environmental impacts of urban form. His work bridges humanistic and quantitative approaches, integrating engineering, architecture, economics, and anthropology. He investigates how urbanicity, urban form, and spatial configuration influence well-being, sustainability, and resilience. His recent publications (2023–2025) reveal a strong trend toward computational modeling and simulation of urban growth, particularly through the lens of isobenefit urbanism —a concept he has pioneered. These works combine cellular automata, agent-based modeling, and morphogenetic frameworks to simulate sustainable urban futures. He also explores fractal patterns in housing markets, the psychology of urban living, and the mental costs of urbanicity. His research spans disciplines including urban science, environmental psychology, urban economics, and complex systems. Scientific Awards and Honors: Fellow, Erasmus Happiness Economics Research Organisation (EHERO), Erasmus University Rotterdam (2022–) Senior Research Fellow, University of Portsmouth (2017–) Fellow, Cluster for Sustainable Cities, University of Portsmouth (2017–2020) Fellow, Urban Morphology Research Group, University of Birmingham (2016–2021) Member, Cambridge Networks Network, University of Cambridge (2016–) Honorary Fellow, University of Birmingham (2016–) Luca D'Acci actively advises PhD students as a member of the Doctoral Collegium for Urban and Regional Development at Politecnico di Torino (2020–2024). He has secured and contributed to significant research grants, including projects funded by the World Bank, Asian Development Bank, European Commission, EPSRC, Lincoln Institute of Land Policy, and University College London (Future Urban Growth Lab). His editorial roles include membership on the boards of PLOS ONE , PLOS Mental Health , and Humanities & Social Sciences Communications . Labs and Research Networks: Future Urban Growth Lab (UCL, 2019–) LEUr Urban Ecology Lab (UFSC, 2022–) URban Evolution Morphology (UReM, 2024–) Erasmus Universiteit Rotterdam (EHERO, 2022–2024) Spatial Intelligence Unit (SPIN Unit), Estonia (2013–) International Society of Biourbanism (2013–)

Alessandro Bertucciمشاهده پروفایل

دانشیار

• DNA Nanotechnology
• Analytical Chemistry
• Biomolecular Engineering
• +۵ مورد دیگر

Prof. Alessandro Bertucci is an Associate Professor at the University of Parma, Department of Chemical, Life and Environmental Sustainability Sciences, specializing in Analytical Chemistry (CHIM/01). He earned his Ph.D. in Chemical Sciences through a dual Italian-French program at the University of Parma and the University of Strasbourg, receiving the "Best Scientific Thesis in France" award. Education: Master's in Chemistry (2011, University of Parma), Ph.D. in Chemical Sciences (2015, University of Parma/Strasbourg) Postdoctoral Experience: University of Rome Tor Vergata (2015-2016), Sanford Burnham Prebys Medical Institute (2016), University of Melbourne (2016), UC San Diego (2017-2020) His research integrates molecular recognition with synthetic design for biomolecular systems programming , focusing on nanoscale diagnostics and precision medicine . Key methodologies include DNA nanotechnology, electrochemical biosensing, and responsive nanomaterials. Recent publications highlight CRISPR-based diagnostics and low-cost spectrophotometric platforms . His work has been recognized with the Galileo Galilei International Prize (2021) and ISSNAF Young Investigator Finalist (2018). Scientific Awards: Galileo Galilei Prize (2021), ISSNAF Finalist (2018) Fellowships: Marie Skłodowska-Curie Global Fellowship (2017), Endeavour Research Fellowship (2016), Umberto Veronesi Fellowship (2020) He teaches Bioanalytical Methods (Master's in Genomic, Molecular and Industrial Biotechnology) and Analytical Chemistry for Materials (Bachelor's in Materials Science), with extensive experience in course coordination and curriculum development.

Marco Farinaمشاهده پروفایل

استاد

• Electromagnetic Fields
• Scanning Probe Microscopy
• Nanotechnology
• +۴ مورد دیگر

Marco Farina is a Full Professor in Electromagnetics at the Department of Information Engineering, College of Engineering, Polytechnic University of Marche, Italy. His research spans electromagnetic modeling, scanning microwave microscopy, and nanotechnology, with applications in 2D materials, biosensors, and advanced measurement systems. He is a Senior Member of IEEE and actively contributes to Technical Committees on RF Nanotechnology. Laurea and Ph.D. in Electronic Engineering from University of Ancona Research interests focus on quantitative scanning microwave microscopy, electromagnetic analysis of active/passive components, and nanoscale characterization techniques. His work bridges theoretical modeling with practical implementation, including the development of the EM3DS software suite and novel inverted SMM systems. Recent publications highlight interdisciplinary applications in biomedical analysis and semiconductor physics. Scientific recognition includes the 3M-Nano Best Conference Paper Award and grants from US Army Research Laboratory and US Air Force Office of Scientific Research. He holds an ESA-funded patent for VNA calibration and has co-authored a book on planar structure analysis. Collaborative projects emphasize RF device optimization and biological imaging.

• Synthetic biology
• Artificial life
• Biochemistry
• +۵ مورد دیگر

Martin Michael Hanczyc is an Associate Professor in the Department of Cellular, Computational, and Integrative Biology (CIBIO) at the University of Trento, Italy. His research program bridges biochemistry, biophysics, and synthetic biology to explore the fundamental principles of life through artificial systems. Dr. Hanczyc's primary research interests focus on synthetic biology and artificial life , particularly the creation and study of artificial cell systems using vesicles and droplets as model compartments. His work explores how simple chemical systems can exhibit life-like behaviors including self-organization, compartmentalization, and survival strategies. He investigates the physical and chemical principles underlying the formation of primitive cell-like structures, with implications for understanding the origin of life. His recent publications reveal a strong trend toward quantitative analysis of dynamic systems, with increasing focus on network formation, computational modeling, and high-throughput methods for studying artificial cell behaviors. The research spans from fundamental studies of vesicle and droplet dynamics to more complex investigations of artificial ecosystems and chemical networks that mimic biological processes. As an educator, Dr. Hanczyc teaches in the Biotechnology Engineering program and contributes to the RNA Biology and Biotechnology course, focusing on advanced biomaterials, tissue engineering, and regenerative medicine applications. His teaching emphasizes the integration of theoretical principles with practical applications in biomedical technologies.

• Logic-in-memory
• Machine learning
• Nanocomputing
• +۷ مورد دیگر

Marco Vacca is an Associate Professor in the Department of Electronics and Telecommunications (DET) at Politecnico di Torino and a member of the Interdepartmental Center PIC4SeR - PoliTO Interdepartmental Centre for Service Robotics. His work bridges electronics, nanotechnology, and computing architecture with a focus on innovative solutions to the memory wall problem. His research spans Logic-in-memory computing, Machine learning hardware acceleration, and Nanocomputing with specific emphasis on circuit architectures for probabilistic computing, magnetic devices, hybrid technologies integration, and CAD tools for emerging technologies. Dr. Vacca leads research in RISC-V extensions, hardware accelerators for AI, and autonomous robot systems for agricultural applications through the VLSILAB research group. Recent publications reveal a strong trend toward solving fundamental computing challenges through nanoscale innovations, particularly in memory-centric architectures, molecular field-coupled computing, and novel transistor technologies. His work demonstrates how logic-in-memory approaches can overcome traditional von Neumann limitations while improving energy efficiency for AI workloads. Editorial board member of ELECTRONICS (2021-2023) Program committee member for Design, Automation and Test in Europe Conference (DATE) 2020-2021 Dr. Vacca supervises PhD student Alessandro Varaldi working on 'Hardware AI Accelerators for Automotive Applications' and has led significant research projects including 'Device for Storage and Processing Data and Related Method' (2020-2021) and 'Quantum Computing and Quantum Communication: State of the Art and Applications in the Telco Sector' (2020). His grant portfolio shows strong industry and competitive funding support. As a core member of the VLSILAB research group, Dr. Vacca contributes to advancing VLSI theory and design applications with particular focus on implementing Big Data, Machine Learning, and Neural Networks in specialized hardware architectures that push the boundaries of conventional computing.

Alessandro Sanzeniمشاهده پروفایل

استادیار

• Neuroscience
• Mathematical Modeling
• Statistical Physics
• +۶ مورد دیگر

Alessandro Sanzeni is an Assistant Professor at Bocconi University's Department of Computing Sciences since September 2022. Prior to this, he conducted research at Columbia University, Duke University, and the National Institutes of Health, with visiting appointments at the University of Chicago, University of California San Diego, and the Pasteur Institute in Paris. He holds a background in theoretical physics from the University of Milan, Italy. His research integrates theoretical frameworks (mathematical modeling, statistical physics, machine learning) with experimental neuroscience to study the visual system's computational principles, focusing on: Functional Models: Visual hierarchy transformations and abstraction mechanisms. Mechanistic Models: Neural dynamics across scales (dendritic, circuit, and multi-area interactions). Normative Models: Evolutionary advantages of brain network architectures over artificial models. Publications highlight his work on cortical networks, optogenetic stimulation, and mechanotransduction in sensory processing.

• Molecular Chaperones in Cancer
• Heat Shock Proteins (Hsp60, Hsp90, Hsp27)
• Thyroid Pathology
• +۵ مورد دیگر

Francesca Rappa is a Full Professor in the Department of Human Anatomy and Histology within the School of Medicine and Surgery at the University of Palermo. Her academic position (BIOS-12/A classification) centers on biomedicine, neuroscience, and advanced diagnostics with a focus on molecular mechanisms of disease. Her research spans multiple interconnected domains centered on stress response systems. Key interests include: Molecular chaperone networks (particularly Hsp60, Hsp90, Hsp27) in carcinogenesis Thyroid and colorectal cancer pathophysiology Glioblastoma multiforme molecular characterization Probiotic interventions for gut-liver-muscle axis disorders Nanovesicle-based therapeutics from citrus and tomatoes Diagnostic applications of heat shock proteins in inflammatory diseases Publication analysis reveals consistent focus on chaperone systems across cancer types (thyroid, salivary, colorectal, brain), with recent expansion into nutraceutical mechanisms involving citrus nanovesicles and golden tomatoes. Her 2023-2025 output shows increasing emphasis on multi-organ communication pathways (gut-brain, gut-liver-muscle) and industrial-scale therapeutic applications. Methodologically, she integrates immunohistochemistry, proteomics, and animal disease models. Teaching responsibilities include core anatomy courses for Medicine and Radiology programs: Anatomy I (10 CFU) and II (6 CFU) for Medicine Human Anatomy with Histology elements (6 CFU) for Radiology Integrated Anatomy/Biochemistry/Physiology modules (12 CFU) She actively supervises graduate research, with four theses directed between 2020-2024 covering celiac disease histopathology, stress protein interactions in colorectal cancer, glioblastoma biomarkers, and thyroid stress responses. Her laboratory work focuses on immunomorphological analysis of chaperone systems in tumor tissues and development of probiotic/nanovesicle interventions for metabolic and inflammatory conditions.

• Biochemistry
• Biotechnology
• Enzymology
• +۶ مورد دیگر

Silvia Holler is a Researcher (RTD-A) at the Department of Cellular, Computational, and Integrative Biology (CIBIO) at the University of Trento. She specializes in biochemistry, biotechnology, and synthetic biology with a focus on enzymology, catalysis, and structural biology. Her work spans experimental and computational studies of protocells, droplet-based systems, and self-organizing soft matter. Teaching responsibilities include co-teaching the Biochemistry course at CIBIO, where she collaborates with scholars like Giovanni Piccoli and Martin Michael Hanczyc. The course covers foundational topics in biochemistry, enzymology, and molecular structures with practical skills in chromatography and enzymatic kinetics. Research interests emphasize artificial life systems, droplet engineering, and the physics of biological organization. Key themes include protocell formation, compartmentalized biochemistry, and ethical implications of synthetic biology innovations. Recent work explores self-organized patterns in soft matter, active matter dynamics, and computational modeling of multi-phase systems. Publications focus on droplet microfluidics, vesicle interactions, and agglomeration phenomena across scales. Collaborative efforts include editorial roles for artificial life conference proceedings and interdisciplinary projects combining biophysics with materials science. No scientific awards were explicitly mentioned in the provided materials. Her research lab activities are embedded within CIBIO's facilities, focusing on experimental setups for droplet-based synthetic biology and computational simulations of complex systems.

• Biomedical Engineering
• Computational Biology
• Cardiology
• +۳ مورد دیگر

Thierry-Sainclair Njougouo is an Assistant Professor at the IMT School of Advanced Studies Lucca , affiliated with the NETWORKS Research Unit. His work bridges computational modeling with clinical applications in cardiovascular and gastrointestinal systems. Academic Rank: Assistant Professor Institution: IMT School of Advanced Studies Lucca Research Unit: NETWORKS Research Focus: Dr. Njougouo specializes in thermoelectric and electromechanical modeling of biological systems, with particular emphasis on: Cardiac action potential dynamics Intestinal motility mechanisms Temperature-dependent physiological responses Digital twin development for surgical prediction Myocardial microstructural analysis Clinical translation of computational models Publication Trends: Recent work reveals a progression from foundational bioheat models (2022) to advanced applications in surgical prediction (2024) and multi-organ thermoelectric systems (2025). The research demonstrates increasing integration of clinical parameters like body temperature variations and laser tissue soldering effects.

Diego di Bernardoمشاهده پروفایل

استاد

• Genomic Medicine
• Systems and Synthetic Biology
• Biomedical Engineering
• +۴ مورد دیگر

Diego di Bernardo is a Full Professor of Biomedical Engineering at the University of Naples Federico II and Principal Investigator at TIGEM, serving as Coordinator of the Genomic Medicine Program and Head of the Bioinformatics Core. His work bridges engineering and biological sciences to advance disease understanding and therapeutic development. His educational background includes a Laurea cum laude in Electronic Engineering from the University of Naples Federico II (1997) and a PhD in Medical Physics from the University of Newcastle School of Medicine (2001), funded by a European Commission Marie Curie Fellowship. Postdoctoral training followed at the Wellcome Trust Sanger Center and Boston University. Di Bernardo's research integrates Biomedical Engineering, Control Engineering, and Molecular Biology to pioneer Biomolecular Control. His lab develops microfluidics platforms for real-time cellular analysis and computational approaches for gene network reverse engineering and drug repositioning. Current work focuses on single-cell transcriptomics to combat drug resistance in cancer and engineer stress-response pathways for bioproduction optimization. His publication record demonstrates consistent innovation in computational biology, with recent work emphasizing pan-cancer transcriptomics, microfluidics-based cell control, and bioinformatics tool development for pathway analysis. The research trajectory shows increasing integration of engineering principles with genomic medicine. Scientific recognition includes: Marie Curie Fellowship He advises PhD students including Clarissa Poles and Virginia Fusco, leading a multidisciplinary team of postdocs and bioinformaticians. Major funding sources include Telethon, AIRC, Italian Ministries, HFSP, and EU programs such as Re-MEND (2023-2027) for mental health resilience and iPC (2019-2023) for pediatric cures. His TIGEM laboratory operates cutting-edge microfluidics and bioinformatics facilities to engineer living systems, with current projects targeting super-producer cell lines for biological drugs and viral vectors while reducing production costs through stress-response re-engineering.

• Applied artificial intelligence
• Artificial intelligence
• Deep learning
• +۶ مورد دیگر

Flavio Giobergia is a Researcher at the Department of Control and Computer Science (DAUIN) within Politecnico di Torino . His work spans applied artificial intelligence , with a focus on deep learning and machine learning applications. Research Interests : Machine learning under limited label availability, LLM-assisted code refactoring, subgroup performance analysis in ASR models, exoplanet atmospheric reconstruction, and predictive maintenance systems. Teaching : Course owner for Data Science and Machine Learning Lab and Large Language Models at Politecnico di Torino. Projects : Scientific head for the MAD – STANDARD BANKING project (2025–2026) and ImEDA (2023–2024), focusing on anomaly detection and model efficiency. Publications : 15+ recent works on topics including machine unlearning benchmarks, synthetic data for hallucination detection, and drift detection limitations, presented at top conferences like KDD, Interspeech, and IEEE AICT. Collaborations : Active in the SmartData@PoliTO center and co-author with Elena Baralis, Alkis Koudounas, and others.

Valtorta Flaviaمشاهده پروفایل

استاد

• Neuropsychopharmacology
• Neurodegenerative Disorders
• Parkinson's Disease
• +۷ مورد دیگر

Prof. Flavia Valtorta is a Full Professor of Pharmacology at San Raffaele Vita-Salute University, Milan, and Dean of the School of Medicine since 2019. She holds concurrent roles as Director of the Division of Neuroscience at San Raffaele Scientific Institute and President of the National Committee on Doping and Health Protection in Sports. Her academic journey includes leadership positions such as Rector’s Deputy for International Affairs (2004–2010) and coordinator of the Neuroscience PhD program. She earned a Doctor of Medicine from the University of Milan (cum laude) and completed postdoctoral training at The Rockefeller University and University of Milan. Education: MD (University of Milan), Board Certifications in Anesthesiology, Intensive Care, and Psychotherapy Professional Experience: Over 40 years in academia and research, including roles at University of Bari and Rockefeller University Research focuses on neuropsychopharmacology, neurodegenerative diseases (especially Parkinson’s), and psychiatric disorders. Her lab investigates dopamine dysfunction, gene therapy approaches for epilepsy, and circadian rhythm abnormalities in schizophrenia. She has authored ~140 peer-reviewed papers with an h-index of 57 and over 10,000 citations. Key Awards: Recognized in 'Top Italian Scientists' and as a member of TIWS (Top Italian Women Scientists) Administrative contributions include overseeing PhD programs and institutional governance. She chairs scientific committees for national and international agencies (INSERM, MRC UK, NIH) and serves on editorial boards (e.g., Frontier’s Cell Neuroscience).