جستجوی استاد راهنمای دانشگاهی

Donato Romano serves as Associate Professor at The BioRobotics Institute of Scuola Superiore Sant'Anna, Italy, where he coordinates the Bio-Robotic Ecosystems Lab and co-founded the spin-off company HUBILIFE srl. His interdisciplinary work bridges robotics, biology, and AI to develop biohybrid systems for biodiversity preservation, sustainable environmental management, and life support in extreme scenarios including space exploration. With over 90 publications and an H-index of 27 (Scopus, March 2025), he has established significant academic leadership through editorial roles across 12+ international journals. Romano's educational foundation includes advanced degrees with honors: an M.Sc. in Agriculture Science and Technologies (2014) and a PhD in BioRobotics (2018), both from Scuola Superiore Sant'Anna. His academic journey includes visiting scholar positions at Khalifa University and substantial industry-academia collaboration through HUBILIFE srl, which commercializes bioinspired devices for human daily life improvement. His research program focuses on bioinspired and biomimetic robotics with particular emphasis on animal-robot interaction, biohybrid systems, and natural intelligence. Key projects address critical global challenges: SENSORBEES develops biohybrid environmental surveillance for ecological monitoring; REGOLIFE investigates lunar soil-terrestrial organism interactions for space agriculture; and OCEAN ROBOCTO explores marine ecosystem solutions. This work demonstrates a strategic progression from fundamental behavioral studies toward applied ecological and extraterrestrial systems. Analysis of his recent publications reveals strong trends in AI-driven behavioral analysis, with deep learning increasingly applied to entomological studies and pest management. The research spans agricultural applications (precision monitoring traps, larval detection systems), ecological conservation (biodiversity surveillance), and extreme-environment adaptation (lunar regolith studies). A distinctive feature is the consistent integration of biohybrid approaches where living organisms and robotic systems create synergistic capabilities exceeding either component alone. Romano's scientific recognition includes election as Junior Fellow of the Italian Academy of Engineering and Technology (2025), the Lucani fuori dal Comune award (2024), and multiple best-thesis prizes. His editorial leadership spans high-impact journals including IEEE Transactions on Medical Robotics and Bionics and Pest Management Science, where he serves as Associate Editor. As principal investigator, Romano coordinates major international projects totaling over €15M in funding: HORIZON-EIC's SENSORBEES (2024-2029), ASI's REGOLIFE (2024-2027), National Geographic's OCEAN ROBOCTO (2024-2026), and PRIN's COSMIC (2023-2025). His teaching portfolio includes PhD courses in Biosystems for Biorobotics and M.Sc. instruction in Bionics Engineering at Scuola Superiore Sant'Anna and University of Pisa. The Bio-Robotic Ecosystems Lab under Romano's direction pioneers biohybrid technologies where living organisms and robotic systems create integrated solutions. Current initiatives include SENSORBEES' environmental monitoring swarms, REGOLIFE's moonworm colonization systems, and HUBILIFE's commercial vector-control devices. The lab maintains active collaborations with space agencies, agricultural institutes, and conservation organizations, positioning biohybrid systems as next-generation tools for planetary-scale challenges.

• Bioinspired Robotics
• Biomimetic Robotics
• Animal-Robot Interaction
• +۸ 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

Prof.ssa Elda Favari is a Full-Time Associate Professor of Pharmacology at the Department of Food and Drug, University of Parma, Italy . Her research focuses on atherosclerosis physiology , cholesterol metabolism , and cellular cholesterol efflux processes . She has collaborated with international institutions in the USA , Australia , and Switzerland . PhD in Pharmacology and Toxicology (University of Parma, 2005) Academic Editor for the journal Medicine Member of Italian Society of Pharmacology , European Lipoprotein Club , and International Atherosclerosis Society Her scientific contributions include over 50 peer-reviewed publications , an H-index of 23 , and 16 Q1-journal publications from the last 15 years. Key research areas cover reverse cholesterol transport , PCSK9 mechanisms , and HDL functionality in diseases like familial hypercholesterolemia , cancer , and autoimmune disorders . Recent Google Scholar publications (2023-2025) examine: HDL modulation through nutraceuticals and 3D-printed devices Immune checkpoint inhibitors in relation to lipid profiles PCSK9-lomitapide interactions in genetic lipid disorders Anti-ApoA-1 IgGs as atherogenic factors 2000: AstraZeneca Grant at SISA Congress 2011: National Research Grant for Lupus Study She has held institutional roles including Student Orientation Delegate and serves on scientific committees for international congresses. Teaching spans Toxicology , Anticancer Chemotherapy , and Pharmacovigilance across Pharmacy , Food Safety , and Drug Sciences programs.

• Pharmacology
• Toxicology
• Atherosclerosis
• +۳ 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.

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

Alessandra Pesce is an Associate Professor at the Department of Physics (DIFI) of the University of Genoa, Italy. Her research focuses on structural biology of globins, protein aggregation, and cold-adapted enzymes, with applications in life sciences, environmental monitoring, and cultural heritage preservation. She teaches Applied Physics and Biophysics at both undergraduate and graduate levels in Physics and Biological Sciences. Her work spans from atomic-level characterization of protein crystals using Atomic Force Microscopy to large-scale ecological projects like the LIFE+ WHALESAFE initiative for sperm whale conservation through acoustic monitoring. Email: alessandra.pesce@unige.it Phone: +39 010 33 56243 Research Interests: Structural characterization of hexa-coordinated globins in marine organisms Thermodynamic and kinetic analysis of truncated hemoglobins in pathogenic bacteria Quaternary structure adaptations in Antarctic enzymes Development of acoustic monitoring systems for marine mammal conservation Protein aggregation mechanisms in amyloid-related diseases Publication Trends: Over 15 years, her research demonstrates expertise in combining X-ray crystallography with biophysical techniques to study globin family proteins across diverse species (from nematodes to whales). Key themes include heme reactivity modulation, ligand diffusion pathways, and structure-function relationships in extremophile proteins, with recent emphasis on marine conservation technology.

• Biochemistry
• Structural Biology
• Molecular Biophysics
• +۴ مورد دیگر

Giacomo Parigi is an Associate Professor of Chemistry at the University of Florence, affiliated with the Magnetic Resonance Center and the Department of Chemistry. His work focuses on paramagnetic effects in NMR, MRI contrast agents, and protein dynamics. He holds a Physics degree (1992) and a Chemistry PhD from the University of Florence, with postdoctoral and research roles at CERM since 1999. Research Interests: Parigi’s research explores paramagnetic effects in biological molecules, including protein structure determination, MRI contrast agent design, and relaxometry. He co-authored seminal books on NMR of paramagnetic molecules and pioneered methods for studying protein dynamics via field-cycling NMR. His lab integrates computational biology, bioinformatics, and experimental NMR to address biomedical challenges. Publications & Trends: Recent work emphasizes machine learning-enhanced NMR analysis, novel MRI probes (e.g., Mn-based nanogels), and structural studies of metalloproteins. His articles highlight innovations in paramagnetic NMR restraints, dynamic aggregation imaging, and low-field MRI applications. Awards & Grants: No explicit awards mentioned, but his extensive publications reflect significant contributions to NMR methodology. Active in securing grants for structural biology and biomedical imaging projects. Labs & Teams: Leads the Magnetic Resonance Center’s NMR group, collaborating on interdisciplinary projects involving biomaterials, drug design, and protein engineering. His team develops cutting-edge tools for in-cell NMR and metabolomics analysis.

• Nuclear Magnetic Resonance (NMR)
• Paramagnetism-Based Effects
• MRI Contrast Agents
• +۴ مورد دیگر

Antonella Motta is a Full Professor in the Department of Industrial Engineering at the University of Trento, Italy, based at Via Sommarive, 9 - 38123 Povo. Contact details include phone numbers 0461 282438 | 0461 282755 and email antonella.motta@unitn.it. Her research spans cutting-edge biomedical engineering with emphasis on biomaterials development and tissue regeneration. Core expertise includes designing 3D scaffolds, silk fibroin hydrogels, and chemically functionalized biopolymers for medical applications. She employs advanced characterization techniques such as electron microscopy, spectroscopy, and in vitro cell culture systems to evaluate protein adsorption and biocompatibility. Current work focuses on translating biomaterial innovations into regenerative medicine solutions, particularly through precise material-tissue interaction studies and scaffold optimization for clinical translation.

• 3D scaffolds
• Biocompatibility
• Biomaterials
• +۱۱ مورد دیگر

Paola Lorenzon is an Associate Professor of Physiology at the University of Trieste 's Department of Life Sciences since 2002. She coordinates the International Master's Degree in Neuroscience , serves as Coordinator of the OPBA program , and holds key roles in multiple PhD cycles including Neuroscience and Cognitive Science (XXVIII to XXXVIII cycles) and Biology (SM50). Her research focuses on neuromuscular plasticity , aging effects, and microgravity adaptation mechanisms. Education : Bachelor's in Biological Sciences and PhD in Biochemistry from University of Trieste Research Experience : University of Milan, San Raffaele Milan, University of Ljubljana, University of Bonn Her research spans three main areas: neuromuscular junction plasticity , electrostimulation protocols for muscle regeneration, and Piezo1 ion channels in mechanotransduction. Current projects funded by the Italian Space Agency (MIAG, NEMUSY) investigate muscle atrophy in spaceflight and aging. Notable collaborations include working with Annalisa Bernareggi (electrophysiology), Marina Sciancalepore (electrostimulation), and Alessandra Bosutti (project coordination). Her lab employs primary satellite cell cultures , electrophysiology , and mechanotransduction studies to explore muscle regeneration mechanisms.

• Neuromuscular physiology
• Synaptic plasticity
• Skeletal muscle regeneration
• +۶ 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.

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

Marco Maggini is a Full Professor in the Department of Information Engineering and Mathematics at the University of Siena, a position he has held since joining the university in 1996. His academic career spans over 25 years with foundational expertise in computer engineering and artificial intelligence, focusing on theoretical and applied machine learning research. His educational background includes: Laurea degree (cum laude) in Electronics Engineering from the University of Florence (1991) Ph.D. in Computer Engineering and Control Systems from the University of Florence (1995) Prof. Maggini's research encompasses machine learning, neural networks, kernel machines, and the integration of symbolic and sub-symbolic knowledge systems. He extends these foundations into practical applications including web mining, search engine technology, pattern recognition, natural language processing, and computer vision. This interdisciplinary approach bridges theoretical computer science with real-world implementation challenges across multiple domains. Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on multilingual NLP applications, particularly educational puzzle generation for low-resource languages (Italian, Arabic, Persian, Turkish) using LLMs. His work demonstrates consistent innovation in named entity recognition, commonsense reasoning evaluation, and cross-lingual adaptation techniques. Secondary research threads include medical imaging segmentation, molecular property prediction, and AI security vulnerabilities, reflecting his broad technical mastery across computer vision, bioinformatics, and adversarial machine learning. No specific scientific awards were mentioned in the provided documentation, though his editorial roles indicate peer recognition within the academic community. While student mentoring details are absent from the source material, his position as Full Professor and leadership of SAILab imply active graduate supervision. His extensive publication record (120+ papers) and editorial service suggest significant research grant involvement, though specific funding sources remain undocumented. He directs the Siena Artificial Intelligence Laboratory (SAILab), which serves as an interdisciplinary hub for advancing machine learning theory and applications. The lab's current projects emphasize educational technology, multilingual NLP systems, and the integration of symbolic reasoning with neural architectures, maintaining strong industry and international academic collaborations.

• machine learning
• neural networks
• kernel machines
• +۶ مورد دیگر

Emidio Capriotti is an Associate Professor at the Department of Pharmacy and Biotechnology, University of Bologna. He leads the Second Cycle Degree in Bioinformatics and holds a PhD in Physical Sciences. His research focuses on predicting protein stability changes due to genetic variations using machine learning, with applications in personalized medicine. He develops tools like DDGun and PhD-SNPg for variant interpretation. Teaching includes courses on Bioinformatics, Biophysics, and Lab Techniques for Bioinformatics. His work bridges computational methods and biological problems, particularly in cancer genomics and protein structural analysis. Education: PhD in Physical Sciences from the University of Bologna. Research interests include structural bioinformatics, protein folding, and the interplay between genomic variations and disease. He collaborates with initiatives like CAGI challenges and ELIXIR-IT to advance genomic data infrastructure. Publications emphasize protein stability prediction, federated learning in clinical settings, and benchmarking computational methods. His lab contributes to open-source tools and standards for reproducible machine learning in biology.

• Structural Bioinformatics
• Protein Stability Prediction
• Machine Learning in Biology
• +۳ مورد دیگر

Luca Pavarino is a Professor at the Department of Mathematics, University of Pavia. His research focuses on scientific computing and numerical methods, particularly in the context of cardiac electrophysiology and multiphysics systems. He leads the Scientific Computing group, specializing in domain decomposition methods (BDDC/FETI-DP), isogeometric analysis, and parallel algorithms. His work integrates advanced numerical techniques with biomedical applications, including cardiac electromechanical coupling, drug testing on cardiac tissues, and modeling genetic cardiac disorders like LQT8 syndrome. Key contributions include scalable solvers for nonlinear systems, preconditioners for heterogeneous media, and operator learning for ionic dynamics. Research interests span computational cardiology, numerical analysis, and parallel computing, with applications to biophysics and drug discovery. His projects often involve interdisciplinary collaborations between mathematics, engineering, and medicine. Notable contributions include: Development of BDDC/FETI-DP preconditioners for cardiac models Integration of machine learning with cardiac electrophysiology High-performance computing for multiphysics systems (Biot’s consolidation, protein stability) Labs/Teams: Scientific Computing Group at the University of Pavia’s Department of Mathematics.

• Scientific Computing
• Numerical Methods
• Computational Cardiology
• +۵ 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.

• Biochemistry
• Biotechnology
• Enzymology
• +۶ مورد دیگر

Giovanna Di Nardo is an Associate Professor at the University of Turin , affiliated with the Department of Life Sciences and Systems Biology . Her research focuses on the structure-function relationship of human aromatase , its role in brain function, and estrogen-dependent tumors. Key research areas include: Drug metabolism Post-translational enzyme regulation Electrochemical and spectroscopic methods X-ray crystallography Biocatalyst engineering Endocrine disruptor screening Recent publications highlight innovations in: P450-based drug discovery platforms Phosphomimetic protein studies Monkey/dog cytochrome P450 comparisons Pesticide endocrine disruption Genomic analysis of plant sterility She contributes to teaching in Biochemistry and participates in academic governance bodies.

• Biochemistry
• Enzymology
• Structural Biology
• +۷ مورد دیگر

Lisa Elviri is an Associate Professor in Analytical Chemistry at the Department of Pharmacy, University of Parma, Faculty of Sciences. She holds a PhD in Chemical Sciences (Analytical Chemistry) from the University of Parma and has been a tenured researcher since 2004. Education: PhD in Chemical Sciences (Analytical Chemistry, University of Parma); Laurea in Chemistry (University of Parma). Her research spans analytical chemistry , mass spectrometry , biomaterials , 3D printing , and clinical diagnostics . She focuses on developing LC-MS and immunoenzymatic methods, validating techniques for pharmaceutical analysis, and designing chitosan-based scaffolds for tissue regeneration. Recent publications highlight work on Alzheimer’s disease (PCSK9 inhibition, APOE4 genotype studies), 3D-printed medical devices , and biorefinery quality monitoring using spectroscopy. Her teaching includes Analytical Chemistry for 5-year Master’s programs in Pharmacy and Pharmaceutical Chemistry. She has authored 75 international publications, 140 conference communications, and holds an H-index of 26 (Google Scholar). Her office is located at the Science and Technology Campus, Parma.

• Analytical Chemistry
• Mass Spectrometry
• Biomaterials
• +۱۲ مورد دیگر