جست‌وجوی استاد و پژوهشگر

Francesca Carobeneمشاهده پروفایل

پژوهشگر

• Nuclear Engineering
• Molten Salt Reactors
• Neutronics
• +۵ مورد دیگر

Francesca Carobene is a Researcher specializing in advanced nuclear reactor technologies, particularly Molten Salt Reactors (MSRs). Currently, she works at NRGroup since 2023, focusing on neutronics, thermal-hydraulics, simulation frameworks, and Digital Twin development for MSRs. She holds a PhD (2013) from an unspecified institution, where her thesis explored the MSR's potential for thorium utilization. Prior to her current role, she worked at the Paul Scherrer Institute (SUI). Her MSc (2009) thesis addressed COMSOL® analysis for MSR thermo-fluid dynamics, and her R&D work includes modeling inert gas bubbles, noble metals deposition, and passive safety systems in nuclear reactors. Education: MSc in Nuclear Engineering (2009): Thesis on COMSOL® capabilities for MSR analysis. PhD in Nuclear Engineering (2013): Thesis on MSR as a fast-spectrum candidate for thorium. R&D Focus: Molten Salt Reactors: neutronics, thermal-hydraulics, and multiphysics modeling. Hydrogen production via MSR systems. Digital Twin development for reactor simulations.

• Power Electronics
• Electrical Machines and Drives
• Battery Electric Vehicles
• +۴ مورد دیگر

Fausto Stella is a Fixed-term Tenured Assistant Professor at the Department of Energy (DENERG) of Politecnico di Torino. His research focuses on power electronics, electrical machines, and drives for applications in eMobility, renewable energy systems, and high-performance industrial drives. He leads the PEEMD research group and collaborates with industry on projects involving GaN/SiC semiconductor integration, traction inverters, and DC-link capacitor optimization. He teaches courses on power electronics, electrical drives for eMobility, and embedded systems at the BSc/MSc levels, including laboratory modules on power converters and drives. His work emphasizes practical implementations through high-fidelity hardware-in-loop (HIL) testing and 3D printed thermal solutions. Stella supervises four PhD students researching topics like WBG-based motor drives, multiphase machines, and fault-tolerant power electronics. He has co-authored over 50 publications and holds patents in junction temperature estimation, capacitor aging evaluation, and 3D-printed thermal management systems. His industry collaborations include projects with HBK Genesis and automotive companies, focusing on motor test rig design, SiC inverter validation, and advanced control strategies for electric vehicles. He actively participates in international conferences like SPEEDAM and ICEM, contributing to advancements in power electronics efficiency and reliability.

• Environmental Economics
• Climate Policy
• Game Theory
• +۳ مورد دیگر

Alessandro Tavoni is a Full Professor of Environmental Economics at the Department of Economics, University of Bologna. Previously, he served as Associate Professor at the London School of Economics (LSE), leading the Changing Behaviour Research Programme at the Grantham Research Institute. His research focuses on overcoming behavioral and political barriers to climate cooperation through game theory and experimental methods. He leads the ERC Consolidator Grant-funded 'GREEN TIPPING' project, exploring social tipping interventions to amplify climate action. Tavoni holds visiting roles at the LSE, Princeton University, and the Beijer Institute. His work spans climate policy design, international agreements, and sustainability strategies. Education & Career: Professor of Environmental Economics, University of Bologna (current) Associate Professor, LSE (prior role) Research Interests: Game theory applied to climate policy Social norms and tipping interventions Experimental economics for sustainability solutions Climate clubs and international cooperation mechanisms Grants & Awards: ERC Consolidator Grant (2023) for 'GREEN TIPPING' Advising & Teams: Pioneers the GREEN TIPPING initiative with postdoc recruitment Leads interdisciplinary teams at the Grantham Research Institute and Princeton Labs & Collaborations: Changing Behaviour Research Programme at LSE Cross-institutional partnerships with the Beijer Institute and EAERE

• Economic History
• Welfare Measurement
• Poverty Analysis
• +۴ مورد دیگر

Professor Giovanni Vecchi is a leading academic in Economic History at the University of Rome Tor Vergata. His primary research focuses on welfare measurement, poverty analysis, and inequality dynamics. He specializes in historical and contemporary studies using household budget data, spatial cost-of-living analysis, and composite indices evaluation. Vecchi teaches courses on economic inequality and poverty at the undergraduate level, contributing to both bachelor's and master's programs. His work spans Italy, Bhutan, Madagascar, and Iraq, addressing poverty dynamics, cost-of-living disparities, and policy impacts. Notable contributions include developing the OUTDETECT Stata module for outlier detection and pioneering methodologies for setting poverty lines in diverse contexts. Vecchi's research emphasizes methodological rigor, bridging historical analysis with contemporary policy challenges. Publications highlight interdisciplinary approaches, integrating econometrics with economic history. His studies on Italy’s long-term economic growth (1861–2011) and child labor patterns demonstrate deep engagement with national socioeconomic trends. Despite no explicit mentions of awards, his work has shaped academic discourse on poverty measurement and spatial inequality.

Anna Battauzمشاهده پروفایل

دانشیار

• Quantitative Finance
• Asset Pricing
• Derivatives Pricing
• +۳ مورد دیگر

Anna Battauz is an Associate Professor at Bocconi University, specializing in Quantitative Finance. She holds a Ph.D. in Financial Mathematics from Scuola Normale Superiore in Pisa and a Mathematics degree from the University of Udine. Since joining Bocconi post-doctorate, she has taught undergraduate, graduate, and Ph.D. courses in Calculus, Quantitative Finance, Derivatives Pricing, and Continuous-Time Finance. She has served as Director of the MSc in Finance since 2022/23. Her research focuses on asset/derivatives pricing, asset allocation, and optimal stopping, with publications in journals like Economic Theory , Management Science , and Quantitative Finance . She is a research fellow at IGIER (Innocenzo Gasparini Institute for Economic Research) and Baffi Carefin (Center for Applied Research on Finance). She acts as a referee for multiple academic journals. Her teaching portfolio includes courses such as Quantitative Finance and Derivatives, Applied Numerical Finance, and Continuous Time Finance. Her work integrates theoretical contributions with practical applications in financial markets and risk management.

Federico Nestiمشاهده پروفایل

پژوهشگر

• Machine Learning
• Adversarial Robustness
• Robotics
• +۵ مورد دیگر

Federico Nesti is a Ph.D. researcher at the Retis Lab (Tecip Institute, Scuola Superiore Sant'Anna), funded by the Department of Excellence in Robotics & AI . He also works as a consultant for the same institution in railway navigation and localization systems. Education : BSc in Electronics Engineering (University of Pisa, 2015) MSc in Robotics and Automation Engineering (2018) Research Interests focus on adversarial robustness of machine learning models , autonomous driving safety , railway system simulation , and adversarial attack defense mechanisms . His work bridges machine learning security and real-world applications in transportation and space systems. Academic Trends show a trajectory from thermal engineering for space missions ( U-PHOS project ) to current work on AI robustness for autonomous vehicles and railway systems, with a strong emphasis on practical implementation and safety validation . Scientific Recognition : Second prize at Huawei University Challenge 2020 Selected for Deep Learning + Reinforcement Learning Summer School (2020) Collaborative Work includes internships at Fermilab (2017), MSc thesis at TU Delft (2018), and a visiting research position at University of Alicante (2022–present). Industrial collaborations with Hitachi STS (2020–2022) and Fabrica Machinale srl (2018–2019) further enrich his applied research profile.

Luigi Pannocchiمشاهده پروفایل

پژوهشگر

• Computer Networking
• Real-Time Systems
• Autonomous Systems
• +۳ مورد دیگر

Luigi Pannocchi is a Postdoctoral Researcher at Sant'Anna School of Advanced Studies since September 2021. His research focuses on optimizing network infrastructures, virtualized systems, and autonomous systems. He holds a PhD from 2015 to 2018, with a strong emphasis on real-time systems, embedded architectures, and control frameworks. Research interests include datacenter optimization, virtual machine (VM) placement in NFV environments, AI-driven network management, and the integration of real-time systems with autonomous robotics. His work bridges theoretical models with practical implementations in cloud computing and embedded systems. Recent publications highlight advancements in VM placement algorithms using logic programming, AI applications in network virtualization, and optimization techniques for NFV infrastructures. His 2023 IEEE TCCPS Early-Career Award recognizes contributions to softwarized network services and real-time systems. Key contributions include frameworks for autonomous systems prototyping, power consumption modeling in embedded systems, and HIL testing methodologies for multi-vehicle systems. His research spans interdisciplinary areas such as robotics, cloud engineering, and real-time computing.

Mikhail Anufrievمشاهده پروفایل

مدرس ارشد

• Behavioral Macroeconomics
• Financial Markets
• Heterogeneous Agents
• +۴ مورد دیگر

Mikhail Anufriev is a Senior Lecturer at the Economics Discipline Group within the UTS Business School, University of Technology, Sydney. He holds affiliations with the CAMA Research Program in Behavioural Macroeconomics at the Australian National University, the CeNDEF in Amsterdam, and the LEM at Scuola Superiore Sant'Anna in Pisa. Education: Ph.D. in Economics, Scuola Superiore Sant'Anna (2005) MA in Economics (with Honours), CORIPE Piemonte (2001) MA in Economics (with Honours), European University at St. Petersburg (2000) MSc in Mathematics (with Honours), St. Petersburg State University (1998) Research Interests: Dr. Anufriev specializes in behavioral macroeconomics, financial markets, and agent-based modeling. His work explores how heterogeneous expectations, evolutionary learning, and institutional design influence market stability, asset pricing, and macroeconomic dynamics. Key themes include wealth-driven competition, market equilibria under procedural rationality, and the impact of trader behavior on market outcomes. Recent Work Trends: His publications focus on evolutionary selection mechanisms in financial markets, the role of heterogeneous agents in generating instability, and the implications of market architecture on belief formation. Recent studies examine interest rate rules, short-selling constraints, and experimental evidence on adaptive trading strategies. Professional Activities: Editor of a special issue on complexity in economics and finance. Active in presenting unpublished work, including a 2011 conference talk on switching behavior in laboratory experiments and a 2010 Bank of Canada seminar on market stability under short-selling constraints. Labs/Teams: Affiliated with CeNDEF (Amsterdam) and LEM (Pisa), collaborating on research at the intersection of nonlinear dynamics and economic systems.

Selene Tognarelliمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Robotics
• Microsystem Technology
• Material Science
• +۳ مورد دیگر

Selene Tognarelli serves as a Research Fellow and Technologist at the Sant'Anna School of Advanced Studies (SSSA) in Pisa, Italy, within the Institute of Biorobotics' Surgical Robotics and Allied Technologies area. Mentored by Prof. Arianna Menciassi, she excels in technical research and project leadership for national and international initiatives including EU-funded collaborations. Her academic credentials include: PhD in BioRobotics with honors from SSSA (2011) BSc in Biomedical Engineering with honors from the University of Pisa (2007) Executive Master on Project Management (2013) Additionally, she completed a six-month research residency at École Polytechnique de Montréal's Nanorobotic Laboratory. Tognarelli's research centers on biomedical robotics, microsystem technology, and material science, with specialized expertise in mechatronic design of miniaturized medical devices. Her interdisciplinary work drives innovations in surgical robotics and medical simulation, yielding high-impact publications and patented technologies for neonatal care and minimally invasive procedures. Analysis of her recent publications reveals a strong trajectory toward accessible medical technology, particularly evident in Ethiopia-focused collaborations on low-cost placenta simulators and childbirth training systems. This work demonstrates consistent translational impact from engineering innovation to clinical implementation, with emphasis on safety-critical applications in cardiac surgery and neonatal resuscitation. Tognarelli actively mentors the next generation of engineers through supervision of multiple BSc and MSc theses. Her dual expertise in technical development and project management enables effective translation of research into practical clinical solutions, evidenced by leadership in national and international grant-funded projects. As part of The BioRobotics Institute's Surgical Robotics team, she contributes to a dynamic environment where engineering excellence meets clinical need, developing robotic platforms that enhance surgical precision and safety through advanced sensorization and simulator development.

Carlo Augusto Graziaمشاهده پروفایل

استادیار

• Networking Protocols
• Vehicular Communications
• Wireless Networks
• +۶ مورد دیگر

Carlo Augusto Grazia is a Tenure Track Assistant Professor at the Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia. He holds a M.S. in Theoretical Computer Science (2012) and a Ph.D. in ICT (2016). His research focuses on networking protocols, vehicular communications, and wireless systems optimization. Key projects include the SURPRISE satellite software project, the IGNITE 5.0 smart industrial networking initiative, and V2X safety-related applications with Alstom. He has collaborated on EU-funded projects like FP7 PPDR-TC and PRIN 2009 SFINGI. His work spans TCP/IP algorithms, QoS, SDN, and deadlock analysis in concurrent systems. Recent studies explore 5G energy efficiency, V2X field trials, and 5G MEC architectures for smart cities. He has developed tools like Flent, TEMPEST, and PINK AQM. His contributions are published in IEEE journals and conferences, emphasizing practical solutions for emergency networks and high-speed vehicular systems. Education: M.S. (2012, Bologna), Ph.D. (2016, Modena and Reggio Emilia). Research Interests: Linux-based TCP/IP optimization Vehicle-to-Everything (V2X) communication standards (IEEE 802.11p) SDN and resource pooling for public safety Low-latency wireless protocols Emergency network architectures Articles Trends: Focus on TCP performance in wireless environments, vehicular safety systems, and 5G energy footprint analysis. Recent work addresses latency in smart city applications and modular packet scheduling frameworks. Advising & Grants: Led projects on satellite-LTE integration, disaster recovery networks, and automotive smart areas. Collaborations include ESA, Alstom, and EU initiatives. Labs/Teams: Active in the Modena Automotive Smart Area (MASA) and develops open-source tools like C2ML middleware for satellite optimization.

• Mechanical Engineering
• Finite Element Analysis
• Metamaterials Design
• +۷ مورد دیگر

Davide Castagnetti is a Full Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering Sciences and Methods. His academic roles include teaching courses in Mechatronics Engineering, such as Assisted Mechanical Design, Product Design and Development, and Mechatronic Systems Design. His research focuses on metamaterials, energy harvesting, piezoelectric materials, and structural analysis. Teaching: Mechatronics Engineering courses emphasizing design optimization, finite element methods, and safety engineering. Research: Specializes in auxetic metamaterials for biomedical applications, electromagnetic energy harvesters, and additive manufacturing. His work includes patents on vertebral prostheses and auxetic meta-biomaterials. Publications: Over 30 peer-reviewed articles since 2013, covering topics like piezoelectric sensors, rotating metamaterials, and bonded joints analysis. His contributions include developing innovative 3D-printed end-effectors for robotics, soft piezoelectric elastomers, and bio-inspired vertebral implants. He collaborates with industries on structural health monitoring and adhesive joint analysis.

• Semiconductor Devices
• Power Electronics
• Wide Bandgap Materials
• +۳ مورد دیگر

Nicolo' Zagni is a Researcher at the Department of Engineering 'Enzo Ferrari', University of Bologna, specializing in semiconductor device physics and reliability. His research focuses on GaN-based power electronics, HEMT devices, and interface/border traps in wide-bandgap materials. He collaborates on projects involving microwave/millimeter-wave GaN HEMTs, dynamic on-resistance (RON) instability, and phase-transition switches. Key research areas include: Characterization of interface and border traps in GaN MOS capacitors Off-state bias instabilities in GaN trench MOSFETs Modeling dynamic RON in p-GaN power HEMTs using 'hole virtual gate' theory Impact of epitaxial structure on short-channel effects in GaN HEMTs Recent work explores carbon-doped buffers in GaN HEMTs and phase-change electronics for post-Boltzmann devices. His publications span IEEE journals and conferences, with a focus on experimental/simulation analysis of reliability and trapping mechanisms.

• Biomedical Engineering
• Industrial Measurement Systems
• Sensor Technology
• +۳ مورد دیگر

Stefano Cattini is an Associate Professor at the Department of Engineering 'Enzo Ferrari', University of Modena and Reggio Emilia, Italy. He holds a Master's (2005) and Ph.D. (2009) in Electronic Engineering from the same university. His research focuses on advanced measurement systems for industrial and biomedical applications, including LiDAR performance analysis, blood gas monitoring, and sensor fusion. He led the MS2 Laboratory (Materials, Systems, and Sensors) at the TPM Science and Technology Park in Mirandola (2014–2019). Active in IEEE and SPIE, he contributes to journals and conferences, co-authoring over 50 peer-reviewed publications and two patents. His work emphasizes sensor innovation, medical instrumentation, and automotive safety. Education: Ph.D. in Electronics and Telecommunications, 2009 Master's in Electronic Engineering (cum Laude), 2005 Research Interests: Stefano Cattini’s research spans industrial sensor systems , biomedical instrumentation , and automotive LiDAR technology . He develops novel methods for real-time blood parameter monitoring (e.g., pH and pCO₂) in extracorporeal circulation and investigates LiDAR performance in challenging environments like fog. His work integrates optical engineering, AI-driven data analysis, and sensor fusion to enhance measurement accuracy and reliability in healthcare and automotive domains. Publications: His recent work highlights trends in automotive LiDAR optimization, portable medical sensors, and underwater bioconstructor monitoring. Key themes include sensor calibration, error mitigation, and interdisciplinary applications of optical and biomedical engineering. Affiliations & Labs: As former head of the MS2 Lab at TPM, he advanced research in materials and sensor systems. He collaborates with industry and academic partners to translate innovations into practical solutions. Current efforts include developing AI-enhanced eye-tracking systems and robust LiDAR benchmarks for autonomous vehicles.

• Mechanical Engineering
• Finite Element Analysis
• Material Science
• +۵ مورد دیگر

Marco ALFANO is a Full Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering Sciences and Methods (DISMI) within the College of Engineering. His academic role includes teaching advanced courses such as Digital Multiphysics Simulation for Machine Design, Mechanics of Machines and Structures, and Advanced Lightweight Mechanical Design. His research focuses on mechanical design methodologies, finite element analysis, material selection for lightweight structures, additive manufacturing, and fracture mechanics of adhesive joints. Teaching responsibilities span master’s and undergraduate programs in Digital Automation Engineering, Management Engineering, and Sustainable Industrial Engineering. Courses emphasize numerical simulation tools (e.g., FEA), material behavior under multi-physics conditions, and sustainable design strategies. Research interests include optimizing laser cladding processes for high-performance coatings, enhancing adhesive joint toughness through surface patterning, and analyzing crack propagation in 3D-printed materials. His work bridges computational modeling (e.g., machine learning applications) with experimental validation, contributing to fields like aerospace and automotive engineering. Publications (15+ since 2021) highlight interdisciplinary collaborations, addressing topics such as composite material characterization, energy dissipation in interfaces, and mechanical properties of laser-deposited alloys. His research is driven by industrial applications, focusing on durability, sustainability, and advanced manufacturing techniques.

• Structural Engineering
• Materials Science
• Non-Destructive Testing
• +۳ مورد دیگر

Antonino Spada is an Associate Professor of Engineering at the University of Palermo, affiliated with the Polytechnic School. His research focuses on structural mechanics, materials science, and non-destructive evaluation techniques. He has contributed extensively to computational methods such as FEM-VEM coupling, global-local modeling for ultrasonic guided waves, and interphase analysis in quasi-brittle materials. His work bridges theoretical modeling with experimental validation, particularly in composite materials, masonry structures, and fracture mechanics. Teaching responsibilities include courses like Science of Construction and Statics , covering topics such as marine technology engineering, building innovation, and structural analysis. He has been actively involved in academic activities since at least 2010, with a strong publication record in top-tier journals and conference proceedings. Research interests span advanced numerical techniques (e.g., meshless methods, finite element modeling), wave propagation for defect detection, and durability assessment of civil infrastructure. His work integrates computational homogenization, fracture mechanics, and experimental validation to address challenges in composite materials and historical masonry structures.