جست‌وجوی استاد و پژوهشگر

• Financial Risk Management
• Corporate Finance
• SME Finance
• +۶ مورد دیگر

Prof. Luca Erzegovesi is a Full Professor at the Department of Economics and Management, University of Trento. He holds academic positions in the Faculty of Economics and Commerce, specializing in financial systems and risk management. With a 1980 degree from Bocconi University, he has served in academic roles since 1980, advancing from researcher to full professor by 1994. His research focuses on financial risk management, SME financing, and financial engineering. Education: 1980: Degree in Business Economics from Luigi Bocconi University Research Interests: Prof. Erzegovesi explores financial risk management frameworks, corporate finance strategies for SMEs, and innovative fintech solutions. His work integrates quantitative models with practical financial instruments, including interest rate risk management and asset-liability management. Recent projects include SME financing through guarantee consortia and network-based financial solutions. Notable Research Activities: Coordinated EU-funded projects on monetary policy impacts and SME risk management. Developed DIVES software for Monte Carlo simulations in enterprise risk assessment. Authored seminal works on agricultural credit systems and financial engineering principles. Advising & Grants: MIUR-funded project on SME risk management (2001-2002) Provincia Autonoma di Trento project on financial software development (1991-1993) Consulted Banca d'Italia on securities regulation and Mediocredito Trentino on strategic ALM Labs/Teams: Co-founded Larix, a financial software firm developing risk assessment tools. Currently developing network-based solutions for SME finance through interdisciplinary research.

• Neuroimaging
• Neuroscience
• Cognitive Science
• +۳ مورد دیگر

Jorge Jovicich is a Full Professor in the Department of Psychology and Cognitive Science at the University of Trento, Italy. He holds concurrent roles at the Center for Mind/Brain Sciences (CIMeC) and the Centre for Medical Sciences (CISMED). With expertise in functional neuroimaging and MRI technology, he leads the MRI lab and Methods Group at CIMeC since 2006. His academic career spans postdoctoral research at institutions like MIT, Caltech, and Harvard Medical School, alongside roles as a lecturer in neuroscience and medical imaging. Education includes a PhD in Physics from the Max-Planck Institute and University of Leipzig, an MSc in Medical Imaging from the University of Aberdeen, and a Licenciatura en Física from the Universidad Nacional de Córdoba. His research focuses on brain connectivity, neurodegenerative disorders (e.g., Alzheimer’s, Parkinson’s), and advancing MRI techniques for clinical applications. He has contributed to projects like the ISMRM reproducibility challenge and developed tools such as ReStNeuMap for functional MRI network analysis. Teaching spans global institutions including Harvard, MIT, and the Instituto Balseiro in Argentina. His work emphasizes translational neuroimaging, bridging basic science and clinical practice. Key interests include biomarker development for neurodegenerative diseases and optimizing neuroimaging protocols for accuracy and reproducibility. Recent research trends include exploring temporal resolution in fMRI, thalamic nuclei segmentation, and microstructural pathways in cognitive impairment. Collaborative efforts aim to standardize neuroimaging practices and improve diagnostic accuracy through advanced MRI methods.

Vito Walter Anelliمشاهده پروفایل

استادیار

• Recommender Systems
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Vito Walter Anelli is an Assistant Professor specializing in the technical and ethical aspects of Recommender Systems. His work focuses on fairness, privacy, adversarial robustness, and regulatory compliance in AI-driven recommendation frameworks. He actively contributes to the development of evaluation methodologies, frameworks for reproducible research, and counterfactual reasoning techniques to assess model fairness. His research spans multiple domains including federated learning for privacy preservation, adversarial attacks on visual and graph-based recommenders, and applications in healthcare such as predicting kidney disease progression. He has organized workshops on Knowledge-Aware Recommender Systems (KaRS) and contributed to conferences like RecSys and Dagstuhl Seminars. Anelli's publications emphasize interdisciplinary approaches, blending computer science with legal and ethical considerations. He has developed frameworks like ELLIOT for rigorous recommender system evaluation and explored the integration of knowledge graphs to enhance recommendation interpretability and user control over data. Key themes in his work include addressing bias in graph collaborative filtering, auditing algorithmic fairness in compliance with regulations, and advancing techniques to protect against adversarial manipulation. His contributions bridge technical innovation with societal impact, particularly in ensuring transparency and accountability in AI systems.

Yashar Deldjooمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +۷ مورد دیگر

Yashar Deldjoo is an Assistant Professor specializing in artificial intelligence, machine learning, and their applications in healthcare, user modeling, and recommender systems. His research focuses on explainable AI, ethical AI practices, multimodal learning, and brain-computer interfaces. He has contributed to projects like WeBIUM (Wearable Devices and Brain-Computer Interfaces for User Modelling) and ARIEL (emotional support via BCI and LLMs). His work bridges technical advancements with societal impacts, addressing challenges in healthcare diagnostics (e.g., Alzheimer’s disease prediction), environmental sensing (real-time pollution-aware recommendations), and cybersecurity (data poisoning attacks on recommendation systems). He also explores fairness in large language models and the integration of EEG-based emotion recognition systems. Notable contributions include frameworks like BRAINEX (CNN model evaluation for brain age prediction), Ducho (multimodal feature extraction for recommendation systems), and KGUF (knowledge-aware graph-based recommenders). He chairs conferences like RecSys and contributes to industry-relevant standards for trustworthy AI systems. His research emphasizes interdisciplinary collaboration, combining neural networks, ethical considerations, and human-computer interaction. Current projects involve neurorehabilitation tools, quantum security for smart cities, and AI-driven usability testing.

• Nuclear and Subnuclear Physics
• Heavy Ion Physics
• Experimental Physics
• +۳ مورد دیگر

Marina Trimarchi is an Associate Professor of Nuclear and Subnuclear Physics at the University of Messina's Department of Mathematical and Computer Sciences, Physical Sciences, and Earth Sciences. She specializes in experimental physics with a focus on heavy ion collisions and detector technology development. Her work includes studies on nuclear interaction cross sections, neutron-skin thickness determination, and advanced detector systems like FARCOS and NArCoS. Key roles include teaching Nuclear Physics Laboratory and Accelerator Physics , and leading research groups such as the Heavy Ion Physics Group and the Extreme Energy Events Group. She has been recognized with the 2004 Scientific Industriousness Award from the Italian Physical Society. Her recent publications (385+) highlight contributions to detector innovation, data analysis techniques, and experimental methods in nuclear physics. She actively engages in public outreach through initiatives like MEDNIGHT and science festivals, promoting STEM education in schools.

• Calculus of Variations
• Partial Differential Equations
• Regularity Theory
• +۳ مورد دیگر

Bozhidar Velichkov is a Full Professor at the Università di Pisa's Dipartimento di Matematica. His research focuses on Calculus of Variations, Partial Differential Equations, and Free Boundary Problems, with emphasis on regularity theory and geometric variational problems. He has held positions at institutions including Università di Napoli Federico II and Université Grenoble Alpes. Velichkov leads the ERC-funded project VAREG, investigating free boundary regularity. He organizes workshops and conferences, such as the Regularity Theory for Free Boundary and Geometric Variational Problems series. His academic achievements include over 65 publications, supervising PhD students, and contributions to spectral optimization and geometric analysis. Velichkov teaches advanced courses on Sobolev spaces, elliptic equations, and variational methods. Education: Scuola Normale Superiore (PhD 2013, MSc 2010) Grants: ERC Starting Grant 2019 (VAREG), PRA GeoDom Service: Deputy coordinator of Pisa's PhD in Mathematics, organizer of international conferences

• Networked Music Performance
• Optical Networks
• Software-Defined Networking (SDN)
• +۳ مورد دیگر

Andrea Bianco is a Full Professor at Politecnico di Torino in the Department of Electronics and Telecommunications. He serves as Vice Rector for Internal Affairs since 2024 and previously held roles such as Department Head and member of the Academic Senate. His research focuses on optical networks, software-defined networking, and networked music performance. He has authored over 220 publications with an h-index of 27 and received the Best Paper Award at IEEE GLOBECOM 2009. Education: Dr.Ing. in Electronics Engineering (1986) and Ph.D. in Telecommunications Engineering (1994), both from Politecnico di Torino. Research Interests: High-speed switching, SDN/NFV, network music performance, and energy-efficient optical networks. His work includes leading projects like SFINGI (virtualization in software routers) and ZeTON (Zero-Touch Optical Networks). He has collaborated with industries like Cisco, Alcatel, and BT. Bianco is an IEEE Senior Member and has co-chaired major conferences such as IEEE GLOBECOM and Networking.

• Computer Networks
• Telecommunications
• Machine Learning for Network Measurement
• +۳ مورد دیگر

Maurizio Matteo Munafo' is a Tenured Assistant Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino. He is a member of the SmartData@PoliTO Interdepartmental Center for Big Data and Data Science. His roles include teaching courses on computer networks, telematics systems, and Internet performance troubleshooting at both bachelor's and master's levels. He has served in doctoral colleges for Electronics and Communications Engineering and holds affiliations in multiple research groups and projects, including the TNG group and the PRIN-funded 'Efficienza energetica e prestazioni' project. Education: Holds a Dr. Ing in Electronics Engineering (1991) and a Ph.D. in Telecommunications Engineering (1994) from Politecnico di Torino. Conducted research at the University of Stuttgart's Computer Networks Institute during his Ph.D. Research focuses on Artificial Intelligence for Network Security, Machine Learning for network measurement/management, and performance analysis of network protocols and services. Key projects include the 5G-EVE validation platform and HPC4AI initiatives. His work spans network traffic analysis, anomaly detection, and quality-of-service (QoS) optimization in real-time communications. Publications emphasize real-time communication challenges, such as packet loss prediction using ML and throughput modeling under extreme traffic conditions. He has co-authored over 70 international papers and is an IEEE member. Teaching responsibilities include managing courses like 'Telematic Networks and the Internet' and collaborating on 'Computer Networks' across multiple engineering disciplines.

• Wireless Networks
• Cybersecurity
• IoT and Sensor Networks
• +۵ مورد دیگر

Pierpaolo Loreti is an Adjunct Professor at the Department of Electronic Engineering and a Researcher at the University of Rome Tor Vergata. He holds a Ph.D. in Telecommunications and Microelectronics (2002) and a Degree in Electronic Engineering (1998), both from University of Rome Tor Vergata. His research focuses on wireless/mobile networks, framework design, analytic modeling, and performance evaluation through simulation and test-bedding. He has led projects on IoT, cybersecurity (e.g., medical device security, satellite networks), blockchain in healthcare, and wildlife tracking systems for endangered species like the Galápagos pink iguana. He collaborates with CNIT and coordinates initiatives in distributed computing, edge AI, and federated testbeds. Education: Ph.D. in Telecommunications and Microelectronics, University of Rome Tor Vergata, 2002 Electronic Engineering Degree (cum laude), University of Rome Tor Vergata, 1998 Research Interests: Wireless networks, IoT sensor systems, cybersecurity for healthcare and satellite infrastructure, blockchain applications in energy grids, and in-network machine learning. His work addresses challenges in privacy preservation, resource-sharing protocols, and energy-efficient designs for critical environments like wildlife monitoring and smart grids. Notable Projects: Developed miniaturized tracking systems for Galápagos pink iguanas Designed cybersecurity frameworks for medical devices and satellite networks Advanced eBPF program composition tools (HIKe/eCLAT) Co-led OpenSatRange and Cyber Range initiatives for space system training Awards: None explicitly mentioned in texts. Advising/Grants: Coordinated European/national projects since 1998 Supervised multiple research initiatives in IoT, blockchain, and network security Labs/Teams: Active member of Netgroup and collaborates with CNIT on interdisciplinary projects.

Valeria Cardelliniمشاهده پروفایل

دانشیار

• Distributed Computing Systems
• Cloud Computing
• Edge Computing
• +۳ مورد دیگر

Valeria Cardellini is an Associate Professor in Computer Engineering at the University of Rome Tor Vergata, with a PhD in Computer Science and Automation Engineering (2001). Her research focuses on distributed computing systems, particularly cloud-based and edge-based systems, with emphasis on resource provisioning, self-adaptation, and QoS-driven optimization. She has published over 90 peer-reviewed papers, including award-winning works at IEEE SOSE and ACM DEBS conferences, and has led collaborations in EU projects like EoCoE (2015-2018) and the Cloud for Europe tender (2016-2017). She has organized major events such as UCC 2018 and contributed to workshops like Auto-DaSP. Teaching includes distributed systems, cloud computing, and computer architectures at both undergraduate and graduate levels. Education: PhD in Computer Science and Automation Engineering (2001), University of Rome Tor Vergata Previous academic qualifications not explicitly listed Research Interests: Her work spans geo-distributed systems, serverless computing, edge-cloud continuum optimizations, and reinforcement learning for adaptive systems. Key areas include energy-efficient scheduling, fault-tolerant architectures, and QoS-aware service composition. Recent projects address scalability challenges in data stream processing and cybersecurity for distributed environments. Awards & Recognition: Best Paper Awards at IEEE SOSE 2011, ACM DEBS 2015, and ACM DEBS 2016 Keynote Speaker at IEEE MASCOTS 2016 Grants & Projects: Led EU H2020 projects (EoCoE), contributed to the European Cloud tender, and managed COST Action IC1304 (ACROSS). Current research involves cloud-edge continuum frameworks like Serverledge and FIGARO. Labs & Teams: Active in developing experimental platforms such as MOSES (for self-adaptation testing) and OpenCoarrays (coarray Fortran frameworks). Collaborates with interdisciplinary teams on HPC, distributed systems, and cybersecurity.

Riccardo Di Santoمشاهده پروفایل

پژوهشگر

• Biophysics
• Nanotechnology
• Medical Diagnostics
• +۳ مورد دیگر

Riccardo Di Santo is a Fixed-term Researcher at Link Campus University in Rome, specializing in Applied Physics with a focus on biomedical applications. His academic role involves advanced research in biophysical, biostatistical, and nanotechnological techniques for medical diagnostics. He earned his PhD in 'Morphogenesis and Tissue Engineering' from Sapienza University of Rome in 2021. His research emphasizes spectroscopic characterization of extracellular vesicles as cancer biomarkers, leveraging plasmonic nanostructures and mid-infrared detection. Key areas include antibacterial nanomaterials (e.g., graphene quantum dots), biomarker discovery for autoimmune diseases, and post-pandemic substance abuse trends. He has pioneered machine learning approaches for non-invasive disease staging and collaborated on projects involving red blood cell biomechanics in diabetes. Riccardo's work spans interdisciplinary domains such as nanomedicine, toxicology, and clinical proteomics. His articles frequently intersect with translational medicine, aiming to bridge fundamental research and clinical applications. Notable contributions include studies on syndecan-1 in rheumatoid arthritis, glyphosate detection using graphene probes, and surgical outcome predictors for bariatric interventions. Though no formal awards are listed, his extensive publication record reflects significant contributions to biomarker development and nanotechnology-driven diagnostics. He maintains an open-door policy for students post-lecture or by email appointment.

• Calculus of Variations
• Partial Differential Equations
• Fracture Mechanics
• +۵ مورد دیگر

Gianni Dal Maso is a Full Professor at SISSA Trieste. His research focuses on Calculus of Variations, Partial Differential Equations, and their applications in Fracture Mechanics, Material Science, and Homogenization. He has contributed to foundational work on Γ-convergence, free discontinuity problems, and variational models of brittle fracture. His recent studies explore dynamic viscoelasticity, cohesive zone models, and nonlocal functionals. He actively organizes international conferences and workshops in these fields, such as the 2025 Frontiers in Calculus of Variations and the 2022 STAMM conference. His work bridges theoretical advancements with applications in engineering and physics. Research Interests: Γ-convergence and homogenization techniques Free discontinuity problems in mechanics Dynamic and quasistatic fracture models Nonlocal and vectorial functionals Variational methods in elasticity and plasticity Key Themes in Publications (2020–2025): Energy balance in viscoelastic systems with memory effects Integral representations of Γ-limits for nonlocal functionals Homogenization of cohesive surface terms in heterogeneous materials Dynamic crack propagation and island motion in thin films He has not been awarded specific scientific prizes mentioned in the text but maintains leadership in organizing academic events and mentoring research groups in SISSA's Mathematics Department.

Marco RUSNATIمشاهده پروفایل

استاد

• Virology
• Antiviral Drug Discovery
• Angiogenesis and Antiangiogenic Therapy
• +۷ مورد دیگر

Marco Rusnati is a full professor and Head of the Macromolecular Interaction Analysis Unit at the Department of Molecular and Translational Medicine, Brescia University. His research focuses on angiogenic growth factors, viral protein interactions, and biomolecular analysis using surface plasmon resonance. He holds a biology degree from Milan University (1985) and has authored 143 peer-reviewed articles with an h-index of 53. Research Interests: Core themes include viral entry mechanisms (SARS-CoV-2, HIV, HPV), antiangiogenic drug development targeting FGF/FGFR and Eph/ephrin pathways, and heparan sulfate proteoglycan biology. His lab innovates in plasmonic biosensors, small molecule design, and computational drug discovery. Recent Advances: Recent work highlights antiviral strategies against SARS-CoV-2 using polysaccharides and heparin mimetics, broad-spectrum antiviral compounds, and BAG3-targeted therapies for pediatric cancers. His 2024 studies on FGF traps and Eph receptor antagonists advance anti-myeloma and anti-angiogenic therapies. Technical Expertise: Combines surface plasmon resonance (SPR) with molecular dynamics simulations to study protein interactions, drug repositioning pipelines for CFTR disorders, and functionalization of nanoparticles for diagnostic applications. Laboratory Activities: The Macromolecular Interaction Unit specializes in high-resolution molecular interaction analysis, developing novel tools for drug discovery and virology research. Ongoing projects include exosome functionalization, UV-C protein modification strategies, and thrombospondin-1 signaling in bone metastases.

• Geometric Measure Theory
• Calculus of Variations
• Optimal Transportation
• +۳ مورد دیگر

Andrea Marchese is an Associate Professor in Mathematical Analysis at the University of Trento, Department of Mathematics. His research focuses on geometric measure theory, calculus of variations, and optimal transportation networks. He actively participates in organizing academic events such as the Analysis seminar and international workshops on geometric measure theory and partial differential equations. His work addresses topics like minimal surfaces, modulo p problems, and singular set analysis in geometric flows. Marchese collaborates with leading institutions and frequently presents at conferences worldwide, including recent talks in Munster and upcoming events in Pisa and Trento. Education: Completed his Ph.D. in 2014 with a thesis on optimal irrigation networks. Professional activities include seminar organization across multiple academic years and participation in high-impact international conferences. His research interests bridge pure mathematics with applied problems in network optimization and geometric analysis. Scientific contributions include over 38 publications in top journals like Journal of Functional Analysis and Communications on Pure and Applied Mathematics . His work emphasizes rigorous analysis of geometric variational problems and their applications to real-world transportation models.

• Cannabinoid Chemistry
• Phytocannabinoids
• Bioactivity
• +۵ مورد دیگر

Diego Caprioglio is an Associate Professor in the Department of Pharmaceutical Sciences at the University of Eastern Piedmont Amedeo Avogadro. His research focuses on cannabinoid chemistry, phytocannabinoids, and their bioactivity, with applications in medicinal chemistry and drug discovery. He has contributed to studies on Alzheimer’s disease treatments, cancer therapeutics, and fluorescent probes for precision surgery. Key research interests include cannabinoid synthesis, natural product characterization, and the development of bioactive compounds targeting neurodegenerative and oncological disorders. His work spans from synthetic methodologies to in vivo/in vitro testing, with a strong emphasis on translational medicine. Notable projects include the development of fluorescent probes targeting gliomas and studies on cannabidiolic acids as enzyme inhibitors. He collaborates on initiatives funded by the Italian Ministry of Health, such as the 2023–2025 project on cancer stem cells and oncosurgery tools. His publications highlight advancements in cannabinoid pharmacology, including Δ8-THC’s neuroprotective effects and curcumin-based theranostics. He has also explored minor cannabinoids’ biomedical potential and optimized synthetic pathways for complex natural products like ophiopogonol.