Find Academic Supervisors

• Neurophysiology
• Synaptic Transmission
• Neuronal Excitability
• +5 more

Pietro Baldelli is a Full Professor of Physiology at the Department of Experimental Medicine, University of Genoa, School of Medicine. He also serves as an Affiliated Researcher at the Center for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia, and at San Martino Polyclinic Hospital in Genoa. With a career spanning over three decades since graduating in Biological Science from the University of Genoa in 1992, Professor Baldelli has developed a strong biophysical and neurophysiological background with recognized expertise in neuronal excitability, synaptic transmission and plasticity, and research project management. Professor Baldelli's research interests focus on the molecular mechanisms underlying both physiological and pathological processes of neurotransmission and neuronal excitability. His work spans multiple scales, from single synaptic contacts to complex neuronal networks. He employs a variety of electrophysiological and functional imaging approaches, including patch-clamp and high-density multi-electrode array recordings combined with molecular and cellular biology techniques. His research has evolved to include significant contributions to neurotechnology development, particularly in optogenetics and novel recording systems. His publication record shows consistent productivity with research evolving from fundamental neurophysiology to innovative neurotechnology development. Recent publications (2016-2022) demonstrate a clear focus on developing new methodologies for neuronal stimulation and recording, with the Ziapin2 photoswitch representing a particularly innovative approach that avoids genetic modification of neurons. His work bridges basic neuroscience with potential clinical applications, particularly in understanding neurological disorders like autism and epilepsy. Functional characterization of synaptic transmission in autism and epilepsy models Study of intrinsic and synaptic homeostasis mechanisms Investigation of neurotrophins' role in synaptic function Development of engineered neuronal networks Analysis of molecular mechanisms of synaptic vesicle trafficking Innovation in neurotechnology including biosensors and recording systems Professor Baldelli teaches courses on Human Physiology, Neurophysiology, and Electrophysiological Technologies. His research group includes PhD students, postdoctoral researchers, and technical staff working collaboratively on interdisciplinary projects that integrate neuroscience, engineering, and molecular biology. The lab maintains strong connections with both academic and clinical institutions, facilitating translational research approaches.

Stefano CarrettaView profile

Professor

• Quantum Computing
• Theoretical Physics
• Condensed Matter Physics
• +4 more

Prof. Stefano Carretta is a Full Professor of Physics of Matter at the University of Parma, leading research in theoretical physics with a focus on quantum computing, molecular nanomagnets, and chirality-induced phenomena. He holds a PhD in Physics from the University of Parma (2005) and has held roles at the National Institute for the Physics of Matter and the National Interuniversity Consortium for the Physical Sciences of Matter (CNISM). His research combines theoretical work with experimental collaboration, targeting applications in quantum computing, magnetic refrigeration, and materials science. He teaches courses such as Quantum Information and Computing , Magnetism and Quantum Computing , and Physics 2 at both bachelor’s and master’s levels. His work includes over 160 publications (h-index 41), with notable contributions to neutron spectroscopy (e.g., MIRACLES project at ESS) and the development of molecular spin qudits. Awards include the 2006 Le Scienze Medal and the 2011 Olivier Kahn Award. Research interests span molecular magnetism, multipolar interactions in f-electron systems, and quantum error correction. Collaborations include experimental groups worldwide and large-scale facilities like the European Spallation Source. He currently serves as an editor for Scientific Reports and referee for top journals (e.g., Physical Review Letters ). Education: PhD in Physics (2005, University of Parma) Key Roles: Full Professor (2019–present), ERC Synergy Project PI, MIRACLES spectrometer co-proposer Labs/Teams: Active in experimental-theoretical collaborations (e.g., neutron scattering, molecular synthesis) Grants: Multiple national/international projects, including European initiatives

Vincenzo CagliotiView profile

Professor

• Computer Vision
• Robotics
• Image Processing
• +5 more

Vincenzo Caglioti is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) of Politecnico di Milano. His research focuses on computer vision, robotics, and image processing, with emphasis on motion analysis, sensor fusion, and multi-robot systems. He has contributed extensively to fields such as augmented reality, motion blur recovery, and uncalibrated camera systems. Key research areas include: Development of algorithms for 3D reconstruction from motion-blurred images Design of efficient exploration strategies for mobile robots Integration of sensor data for environmental monitoring and autonomous navigation Analysis of geometric properties in catadioptric systems His work spans theoretical advancements in computer vision alongside practical applications in robotics and surveillance. Over 30 years of publications demonstrate a sustained contribution to advancing perception systems for autonomous systems. No scientific awards explicitly listed in provided texts Labs/Teams: Likely affiliated with DEIB's Robotics and Computer Vision research groups, though specific lab names not explicitly stated in text.

• Control Systems
• Robotics
• Structural Health Monitoring
• +6 more

Carcaterra Antonio is a Full Professor at Sapienza University of Rome, specializing in control systems, robotics, and structural engineering. His research focuses on advanced control methodologies, nonlinear dynamics, and innovative applications in mechanical engineering. Key research areas include: vibration control, autonomous robotics, metamaterials, structural health monitoring, and energy harvesting systems. Recent projects involve developing novel algorithms for damage detection in infrastructure and optimizing gait patterns for quadruped robots. His work integrates machine learning techniques with traditional engineering principles, exemplified by projects like the SUNMARE marine vehicle and the Auto-sapiens autonomous driving system. He has pioneered methods for wave propagation analysis in nonlocal materials and developed adaptive control strategies for automotive suspensions. Notable contributions include the ADACTA damage detection technique and the VFC variational feedback controller. His research bridges theoretical developments with practical applications in transportation systems, environmental monitoring, and disaster response technologies.

• Space Debris Management
• Aerospace Engineering
• Satellite Technology
• +3 more

Piergentili Fabrizio is a Full Professor at the Department of Industrial and Aeronautical Engineering, Sapienza University of Rome. His research focuses on space debris management, satellite technology, and advanced aerospace systems. He leads projects in CubeSat development, thermal protection systems, and space environment interaction studies. Key areas of research include optical tracking of space objects, CubeSat missions (e.g., LEDSAT, GreenCube), and space debris monitoring through networks like Sapienza Space Debris Observatory Network (SSON). Collaborations with ASI and INAF enhance his work on orbital dynamics and sustainability. His contributions span experimental platforms such as the ROMULUS balloon-borne receiver and the HORUS CubeSat mission for sub-kilometer remote sensing. He emphasizes hands-on education through student-led projects at Sapienza S5Lab, fostering innovation in small satellite systems and space exploration technologies.

• Structural Health Monitoring
• Vibration Control
• Statistical Energy Analysis
• +3 more

Antonio Culla is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Sapienza University of Rome. His research focuses on structural health monitoring, vibration control, and nonlinear dynamics. He specializes in applying advanced analytical techniques to mechanical systems, robotics, and biomedical engineering. His work includes developing algorithms for damage detection in infrastructure and studying collective behavior in biological systems like bird flocks. Culla also explores energy harvesting from vibrations and acoustic optimization in aerospace structures. Key projects include the SUNMARE marine vehicle and OPTYRE tire performance analysis. His methodologies combine statistical energy analysis (SEA), machine learning, and experimental validation. He has contributed to interdisciplinary fields such as biomechanics, robotics, and materials science, with a strong emphasis on real-world applications in automotive, aerospace, and civil engineering sectors.

Luca DidaciView profile

Associate Professor

• Statistical Pattern Recognition
• Biometric Recognition and Security
• Semi-Supervised Learning
• +4 more

Luca Didaci is an Associate Professor of Computer Engineering at the University of Cagliari's Department of Electrical and Electronic Engineering (DIEE), within the Faculty of Engineering and Architecture. He leads research in statistical pattern recognition, biometric systems, and EEG signal analysis, focusing on applications in security, healthcare, and machine learning. His work includes developing EEG-based personal identification techniques, semi-supervised learning methods, and advanced tools for histopathological image analysis. With an h-index of 16, his research has been cited over 950 times. He teaches courses on programming, software development, and computer science fundamentals across undergraduate and graduate programs. Didaci is affiliated with the Pattern Recognition and Application Lab at DIEE and contributes to the PhD Program in Electronic and Computer Engineering. His research interests span multiple classifier systems, biometric authentication, and cybersecurity. Recent projects include studying ADaM/SDTM clinical data formats and investigating adversarial machine learning threats to biometric systems. He actively publishes in top-tier journals and conferences, emphasizing interdisciplinary applications of AI in engineering and medicine.

Enrico BassettiView profile

Researcher

• Cybersecurity
• Network Security
• Machine Learning
• +5 more

Enrico Bassetti is a researcher in the Cybersecurity group at the Faculty of Electrical Engineering, Mathematics, and Computer Science at Delft University of Technology (TU Delft), Netherlands. Previously, he held a researcher position at the Department of Computer Science at Sapienza University of Rome. He earned his Ph.D. in 2023 under Prof. Emanuele Panizzi, focusing on network and protocol security. His research includes developing distributed systems for earthquake early warning using IoT-based machine learning and resilient privacy-first sensor networks. Education: Ph.D. in Computer Science (2023, Sapienza University), Master’s in Cybersecurity (2019, Sapienza University, cum laude). Research Interests: Network security, IoT security, machine learning applications in sensor data, privacy-preserving distributed systems, and resilient infrastructure. His work bridges theoretical cybersecurity with practical implementations in real-world systems like disaster early warning systems. Teaching & Supervision: Experience as a teaching assistant and supervisor of undergraduate research projects and internships/theses. He has also conducted training sessions on Linux containers and security. Industry Experience: Over a decade as a system architect consultant, DevOps advocate, and system/network administrator. Awards: Cum Laude Master’s Degree (2019). Labs/Teams: 曾 affiliated with GamificationLab Alumni (previous role).

• Analytical Chemistry
• Biomaterials Engineering
• Molecular Imprinting
• +3 more

Alessandra Maria Bossi-Dep is a Full Professor in Analytical Chemistry at the University of Verona's Department of Biotechnology. She leads the Lab of Molecular Imprinting and Analytical Chemistry, specializing in molecularly imprinted polymers (MIPs), biomimetic materials, and their applications in biosensors and clinical diagnostics. Her research bridges analytical chemistry, biomaterials engineering, and protein imprinting. Roles & Affiliations: Group Leader of the Lab of Molecular Imprinting and Analytical Chemistry Member of the Faculty Board of PhD in Smart Agrifood Sciences Coordinator for Teaching Committees in Molecular and Medical Biotechnology Teaching: Teaches Functional Proteomics, Molecular Sensors, and Omics Sciences across multiple master's programs Focus on modules like "Molecular Sensors for Environmental/Industrial/Clinical Applications" and "Proteomics" Research: Expertise in MIP nanoparticles for selective recognition of biomolecules Development of biomimetic materials for diagnostic applications Projects include BIAS (biomaterial scaffolds) and nanoTRiCKS (cytokine trapping) Spin-offs & Collaborations: Associated with companies like Microbion S.r.l. and Genartis S.r.l. Focus on translating research into biomedical and environmental solutions

• Nanomedicine
• Bioimaging
• Clinical Diagnostics
• +4 more

Roberto Fiammengo is an Associate Professor of Organic Chemistry at the University of Verona's Department of Biotechnology. His research focuses on the design of biofunctionalized nanomaterials for biomedical applications, including nanomedicine, bioimaging, and clinical diagnostics. He leads the 'Organic Chemistry and Nanobiointeractions' research group, investigating nanoparticle-biological system interactions and their exploitation in diagnostics and therapy. Education includes a PhD from the University of Twente and postdoctoral work at the University of Heidelberg and the Max Planck Institute for Intelligent Systems. He has held roles at the IIT Center for Biomolecular Nanotechnologies before joining the University of Verona in 2020. Recent projects include the EU-funded SynMech (mechanogenetic technology for brain connectivity) and DIRNANO (immune response modulation via nanomaterials). He teaches Organic Chemistry and biotechnology-related courses, including 'Synthesis of Bioactive Molecules' and 'Catalysis and Green Chemistry.' His research integrates organic synthesis, nanoparticle functionalization, and interdisciplinary collaboration to address challenges in targeted drug delivery, cancer vaccines, and biomarker detection. Collaborations include national and international partners in academia and industry.

• Protein Biochemistry
• Molecular Biophysics
• Structural Bioinformatics
• +5 more

Daniele Dell'Orco is an Associate Professor of Biochemistry and Bioinformatics at the University of Verona's Department of Neurosciences, Biomedicine and Movement Sciences. He holds roles including PhD program tutor, laboratory director, and membership in academic governance bodies such as the Faculty Board of Biomolecular Medicine. His research focuses on neuronal calcium sensors, phototransduction mechanisms, and retinal dystrophies, with a particular emphasis on molecular therapies using biologics. Research Interests : Protein biochemistry, molecular biophysics, structural bioinformatics, systems biology, and translational medicine targeting sensory disorders. His work integrates experimental and computational approaches to study calcium sensor proteins in health and disease, including their roles in phototransduction and mechano-transduction pathways. Teaching & Supervision : Teaches courses in biochemistry, molecular biology, and translational medicine across undergraduate and postgraduate programs. Supervises bachelor/master students and PhD candidates in the Biomolecular Medicine program. His teaching spans disciplines like biological macromolecules, medical genetics, and clinical biochemistry. Labs & Collaborations : Leads an independent lab investigating biomedical topics from a molecular perspective. Collaborates nationally and internationally on projects such as lipid-based therapeutics for retinal degeneration and PRIN-funded research on protein variant interpretation. His lab utilizes advanced techniques including molecular dynamics simulations and nanobiophysics. Funding & Projects : Secured grants for initiatives like the FFABR 2017 award and PRIN 2017 project on protein variant analysis. Research topics include GCAP1's role in retinal dystrophies and CIB2's involvement in Usher syndrome. Partnerships involve WHO Collaborating Centers and cross-departmental collaborations within the University of Verona.

• Exercise Physiology
• Aging Physiology
• Muscle Metabolism
• +4 more

Silvia Pogliaghi is an Associate Professor in the Department of Neurosciences, Biomedicine and Movement Sciences at the University of Verona. She holds academic roles in the Faculty of Medicine and Surgery, contributing to interdisciplinary research on exercise physiology and aging. Her work focuses on the physiological mechanisms of exercise responses in healthy and clinical populations, with an emphasis on designing evidence-based interventions for health promotion across the lifespan. Roles: Academic leadership in departmental governance, participation in faculty councils, and membership in research committees. Teaching: Courses in Human Physiology, Sport Nutrition, and Exercise Prescription at undergraduate and graduate levels. Research: Leads projects on muscle metabolism, cardiovascular responses to exercise, and technology-driven solutions for sarcopenia prevention. Awards: No specific scientific awards listed, though her work aligns with national research grants (e.g., FFABR 2017). Research Interests : She investigates exercise physiology in aging populations, the role of physical activity in chronic disease management, and novel sensing technologies for real-time physiological monitoring. Key areas include muscle oxidative metabolism, metabolic adaptations to exercise, and the application of wearable devices in exercise science. Recent Work Trends : Her publications emphasize interdisciplinary approaches, combining biomechanics, sensor technology, and clinical physiology. Recent studies explore gait analysis in Parkinson’s patients, telemedicine solutions for sarcopenia, and heart rate modeling in exercise prescription. She also investigates the impact of exercise on mental health conditions like borderline personality disorder. Grants & Projects : Principal investigator on initiatives like STEX (wearable textiles for muscle activity monitoring) and studies on mitochondrial dysfunction in type 2 diabetes. Collaborates on projects funded by the Italian Ministry of Education, Universities and Research (FFABR). Labs/Teams : Active in research groups focused on exercise physiology and health promotion, leveraging facilities like the Department’s Neurophysiology and Muscle Biology laboratories. Leads multidisciplinary teams in developing innovative exercise interventions for aging and clinical populations.

Roberto Di MarcoView profile

Tutor

• Biomechanics
• Motion Analysis
• Rehabilitation Engineering
• +7 more

Roberto Di Marco is a Teaching Assistant in the Department of Engineering for Innovation Medicine at the University of Verona, Italy. He serves on multiple departmental committees including the Commissione di Area ERASMUS for the Department Biotechnology and the Consiglio di Dipartimento for Engineering for Innovation Medicine. His research interests focus on: Motion analysis for clinical evaluation and rehabilitation engineering Remote monitoring of people with neurological disorders Biomechanics of running in Paralympic athletes Sensorimotor integration of balance and gait control Wearable technologies and motion capture techniques for clinical applications Dr. Di Marco teaches in both undergraduate and graduate programs, with courses spanning PhD-level 'Techniques and algorithms for biomechanics of movement' and undergraduate 'Fundamentals of Movement Analysis' and programming laboratory courses. His research integrates stereophotogrammetry, wearable sensors, electromyography, and force platforms to develop objective clinical assessment tools. His office is located at Ca' Vignal 2, Floor 1, Room 1.69 at the University of Verona, with contact information including telephone +39 045 802 7847 and email roberto.dimarco@univr.it. Office hours can be booked through dedicated online scheduling systems for in-person or Zoom meetings.

• Analytical Chemistry
• Biomaterials Engineering
• Biochemistry
• +3 more

Alessandra Maria Bossi is a Full Professor in Analytical Chemistry at the University of Verona , leading the Lab of Molecular Imprinting and Analytical Chemistry . Her expertise includes molecularly imprinted polymers (MIPs), biomimetic materials, and sensor development for clinical and environmental applications. Research Focus : Analytical chemistry, biomaterials engineering, and biochemistry. Teaching Roles : Courses on functional proteomics, molecular sensors, omics sciences, and bioinformatics across multiple master's programs. Governance : Coordinator of the PhD in Smart Agrifood Sciences and member of several departmental and faculty committees. Key Projects : PRIN 2022 PNRR - Biomips ImmunomodulAting Scaffolds for tissue engineering (BIAS) Wearable device for real-time SARS-Cov-2 detection from sweat and saliva Gluten Epitope Molecularly Imprinted Polymer Sensor (GEMS)

• Energy Engineering
• Material Characterization
• Environmental Sustainability
• +3 more

Narges Ataollahi is an Associate Professor in the Department of Civil, Environmental and Mechanical Engineering at the University of Trento. Her research focuses on electrochemical systems, sustainable materials, and environmental engineering. She teaches courses such as Electrochemical Energy Storage and Conversion and Innovative Materials and Energy , emphasizing practical applications of material science and energy technologies. Her work integrates analytical chemistry, renewable energy systems, and pollution control strategies. Research interests include developing advanced sensors for environmental pollutants, optimizing thermoelectric generators using sustainable materials, and repurposing waste materials like PET for energy applications. She explores the interplay between material properties and their performance in energy storage/conversion systems through experimental and computational methods. Her articles from 2023–2025 highlight breakthroughs in graphene-based biosensors, sustainable thin-film solar cells, and machine learning-driven thermoelectric design. These studies underscore a commitment to bridging material innovation with environmental sustainability. No scientific awards are explicitly mentioned. Teaching and advising roles include leading labs on material characterization and collaborating with assistants like Mirco D'Incau. Her work contributes to interdisciplinary efforts in energy engineering and environmental technology.