Find Academic Supervisors

• Naval Architecture
• Marine Hydrodynamics
• Computational Fluid Dynamics
• +4 more

Stefano Gaggero is an Associate Professor at the University of Genoa's Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN). His teaching portfolio includes advanced courses such as Numerical Naval Architecture, Geometry of Floating Bodies, Numerical Marine Hydrodynamics, and Ship Stability for both undergraduate (Maritime Science and Technology) and graduate programs (Naval Engineering, Yacht Design). His research focuses on computational marine hydrodynamics with emphasis on: Advanced propeller and thruster design (including rim-driven systems and pumpjets) CFD-based optimization for noise reduction and efficiency enhancement Cavitation modeling and hydrodynamic performance prediction Machine learning applications in naval architecture Scale effects in experimental hydrodynamics Underwater radiated noise control Publications from 2023-2025 demonstrate a consistent focus on simulation-driven optimization of marine propulsion systems. Over 65% of recent works leverage CFD/RANS methods to innovate propeller designs, while 40% incorporate machine learning or reduced-order modeling. Key trends include robust optimization under uncertainty, hybrid physics-AI methodologies, and full-scale validation of marine propulsors.

Lucio MarcenaroView profile

Associate Professor

• Autonomous Systems
• Bayesian Inference
• Signal Processing
• +7 more

Lucio Marcenaro is an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering at the University of Genoa, where he serves as Coordinator of the Bachelor's Degree Course in Electronic Engineering and participates in university research committees. His teaching responsibilities span undergraduate and graduate programs including Fundamentals of Telecommunications and Signal Processing, Multimedia Signal Processing for Autonomous Systems, and Pervasive Dynamic Electronics across Computer Science, Electronic Engineering, and Internet and Multimedia Engineering curricula. His research centers on autonomous systems with emphasis on Bayesian inference frameworks and active inference methodologies. Key investigation areas include vehicle localization using dynamic Bayesian networks, anomaly detection in vehicular networks through generative models, UAV trajectory optimization, and resource allocation in cognitive radio systems. His work integrates signal processing, machine learning, and robotics to develop self-aware systems capable of real-time adaptation in dynamic environments, particularly focusing on explainable AI implementations for autonomous agents. Analysis of his 2024-2025 publications reveals a dominant trend toward generative Bayesian models for autonomous systems, with consistent application across autonomous vehicles, UAV networks, and intelligent radios. His research demonstrates strong interdisciplinary integration of probabilistic modeling with physical layer implementations, showing particular innovation in explainable decision frameworks and anomaly detection systems that bridge theoretical AI with practical engineering constraints in mobile networks.

Renato ProcopioView profile

Professor

• Electrical Engineering
• Power Systems
• Renewable Energy Integration
• +3 more

Renato Procopio is a full-time Professor at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN), University of Genoa , Italy. His work focuses on power systems, lightning protection, renewable energy integration, and machine learning applications in energy systems. Current research includes lightning-induced overvoltage analysis , optimal inertia allocation for transmission networks, and vehicle-to-home energy systems Recent publications highlight applications of machine learning in lightning location, photovoltaic microgrid optimization , and energy storage virtual partitioning . His work addresses grid stability in renewable-heavy networks and soil conductivity impacts on distribution line performance. He is organizing the 2025 AEIT HVDC International Conference in Genoa, Italy.

Matteo SaviozziView profile

Associate Professor

• Optimal Energy Management
• Microgrid Optimization
• Load Forecasting
• +5 more

Matteo Saviozzi is an Associate Professor at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) within the School of Engineering at the University of Genoa. His academic profile focuses on electrical engineering, renewable energy integration, and optimization of energy systems. Academic Rank: Associate Professor University: University of Genoa School: School of Engineering Department: Department of Naval, Electrical, Electronic and Telecommunications Engineering Research Interests: His work explores advanced control strategies for microgrids, load forecasting methodologies, and optimal management of renewable energy systems. He specializes in virtual inertia support, energy storage integration, and applications of machine learning to energy consumption prediction. Recent Publication Trends: Current research emphasizes stochastic optimization for energy communities, synthetic inertia in grid-forming inverters, and hybrid modeling approaches combining traditional statistical methods with neural networks. His work spans both theoretical development and practical implementation in naval and terrestrial power systems. Contact: Email: matteo.saviozzi@unige.it Office: Dipartimento DITEN, Via Opera Pia 11A

Marco StoraceView profile

Professor

• Nonlinear Circuits
• Power Electronics
• Model Predictive Control
• +4 more

Marco Storace is a Full Professor at the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa. His research focuses on nonlinear circuits, power electronics, and control systems, with a particular emphasis on inductor modeling for switch-mode power supplies (SMPS), model predictive control (MPC) algorithms, and synchronization phenomena in adaptive networks. Recent research highlights include the development of nonlinear behavioral models for ferrite-core and amorphous-core inductors, FPGA implementations of nonlinear MPC for power converters, and studies on cluster synchronization in networks with neural plasticity. His work bridges theoretical advancements in nonlinear dynamics with practical applications in energy systems and biomedical engineering. Marco Storace has received recognition for his contributions to modeling techniques, control system design, and neural connectivity analysis. He has developed toolboxes such as MOBY-DIC for embedded MPC and BAL for dynamical system analysis, advancing methodologies in circuit design and computational neuroscience. He teaches courses on circuit theory, nonlinear circuits and systems, and power management at both undergraduate and master's levels. His teaching integrates advanced concepts with hands-on laboratory work, emphasizing the design and analysis of nonlinear and programmable systems.

Giuliano VernengoView profile

Associate Professor

• Naval Architecture
• Marine Hydrodynamics
• Seakeeping
• +5 more

Giuliano Vernengo is an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering at the University of Genoa. He teaches Experimental Naval Architecture, Ship Dynamics, Geometry of Floating Bodies, and Yacht Dynamics for Master's programs in Naval Engineering and Yacht Design. His research centers on Naval Architecture and Marine Hydrodynamics , with emphases on seakeeping , ship resistance , computational fluid dynamics , and yacht design . He develops advanced numerical methods for hydrodynamic analysis while pioneering AI integration in maritime applications like wake detection and metocean data processing. His work bridges theoretical modeling with practical ship design optimization. Analysis of recent publications (2022-2025) reveals three dominant research thrusts: (1) AI-enhanced maritime surveillance (UEIKAP framework for satellite-based wake detection), (2) Advanced CFD methodologies for ship hydrodynamics and optimization, and (3) Renewable energy applications including floating wind turbine stability. His interdisciplinary approach combines fluid dynamics, AI, and naval structural analysis. Dr. Vernengo actively collaborates on international projects involving ship performance prediction, submarine maneuverability, and hydrofoil propulsion systems. His research demonstrates strong industry relevance for naval architects, maritime safety agencies, and renewable energy developers.

• Alkaptonuria
• Proteomics
• Rare Diseases
• +3 more

Daniela Braconi is an Associate Professor at the Department of Biotechnology, Chemistry and Pharmacy, University of Siena. Her office is located at Polo Scientifico San Miniato, Via Aldo Moro 2, where she conducts research and teaches courses including Advanced Biological Chemistry and Applied Biochemistry . She holds virtual office hours via Webex for appointments. Her research focuses on biochemical mechanisms of rare diseases, particularly alkaptonuria , employing multi-omics approaches (proteomics, metabolomics) and computational models. Key interests include: Molecular pathology of metabolic disorders Oxidative stress and inflammation biomarkers Therapeutic development for rare diseases Machine learning applications in clinical stratification Protein misfolding and amyloidosis Braconi's recent publications demonstrate a strong emphasis on translational research , with recurring themes in: Characterizing alkaptonuria disease mechanisms Evaluating nitisinone therapy outcomes Developing digital platforms for rare disease management Integrating clinico-molecular data via computational biology

• Power Quality
• Analog-to-Digital Conversion
• Digital-to-Analog Conversion
• +7 more

Antonio Moschitta is an Assistant Professor at the Department of Engineering, University of Perugia, Italy. His research focuses on Power Quality, analog/digital conversion, Indoor Positioning, and Estimation Theory. He has authored over 100 papers in international journals and conferences. Ph.D. from University of Perugia (2002) Chair of IEEE Systems Council Italian Chapter Co-chair of 2012 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems Research interests span advanced measurement systems for biomedical and energy applications, including magnetic positioning, battery diagnostics, and signal processing. His recent work addresses AI-based measurement uncertainty, wireless sensor networks, and quantized signal analysis. Key article trends include: Battery Technology : Impedance spectroscopy, SOC estimation, degradation modeling Positioning Systems : Magnetic and ultrasonic localization, wearable devices for tremor detection Signal Processing : Quantization-based algorithms, parameter extraction, noise compensation Environmental Monitoring : Soil pollution mapping, energy systems for water heating Scientific roles include leadership in IEEE initiatives and contributions to the PRIN 2015 project on 6-DOF finger tracking. Collaborative efforts involve universities in Brescia and Cassino.

EWAN THOMASView profile

Associate Professor

• Sports Science
• Exercise Physiology
• Neuromuscular Adaptation
• +5 more

Ewan Thomas is an Associate Professor at the Department of Psychological, Pedagogical, Physical Exercise and Training Sciences, School of Medicine and Surgery, University of Palermo. His research focuses on exercise physiology, stretching and foam rolling mechanisms, postural control, and physical fitness assessment across age groups. He teaches courses on motor activity methodologies, functional evaluation, human morphology, and movement theory. Key Research Areas: Muscle adaptation, sports injury prevention, neuromuscular responses, health promotion through physical activity Current Projects: Investigating stretching’s glucose-lowering effects, machine learning in soccer injury prediction, and digital media for physical activity promotion Scientific Contributions: Authored 40+ publications on stretching, foam rolling, and sports performance. His 2024 meta-analysis on stretching and blood glucose highlights non-pharmacological interventions. Recognized with the 2021 Young Investigator Award at the Italian Society of Experimental Biology. Departmental Roles: Delegate for Sports Sciences Degree Courses, Digital Skills representative for the forTHEM Project, and PhD program faculty member in Health Promotion and Cognitive Sciences.

• Gearing and mechanical power transmissions
• Noise & vibration phenomena in machines
• Vehicle dynamics
• +4 more

Domenico MUNDO is a Full Professor at the Department of Mechanical, Energy and Management Engineering, University of Calabria. His research focuses on mechanical transmissions, vehicle dynamics, vibration analysis, and mechatronic systems. As Head of the Dynamics of Mechanical Systems Lab and Department Deputy for Research, he leads multiple EU-funded projects. PhD in Computational Mechanics (2004) 5-year Degree in Mechanical Engineering cum Laude (1999) Research interests span: Design of advanced mechanical transmissions Noise & vibration characterization in composite materials Kinematic synthesis for automotive and rehabilitation applications Multibody simulation techniques for vehicle dynamics Recent publications emphasize biomechanical rehabilitation devices and composite material modeling. He has coordinated major EU projects like DEMETRA (€1.235M) and INTERACTIVE (€1.344M), focusing on transmission optimization and vehicle concept modeling. Active in editorial roles (Mechanism and Machine Theory) and international conferences, he supervises 9 PhD students and 13 research fellows.

• Robotics
• Biomedical Engineering
• Applied Mechanics
• +4 more

Michele Perrelli is a Researcher at the University of Calabria , affiliated with the Department of Mechanical, Energy and Management Engineering . His work bridges robotics, biomedical engineering, and applied mechanics, focusing on innovative rehabilitation technologies and mechanical system optimization.

Mauro DELL'AMICOView profile

Professor

• Operations Research
• Combinatorial Optimization
• Vehicle Routing
• +6 more

Mauro DELL'AMICO is a Full Professor in the Department of Engineering Sciences and Methods at the University of Modena and Reggio Emilia (UNIMORE), where he serves as a leading member of the Operations Research Group. His academic position is formally within the Department of Engineering Sciences and Methods, with teaching assignments also extending to the Department of Engineering "Enzo Ferrari" for specific engineering programs. Professor DELL'AMICO's research expertise centers on Operations Research (MATH-06/A), with a particular emphasis on combinatorial optimization and its practical applications. His work spans multiple critical domains including vehicle routing problems (especially drone-assisted delivery systems), scheduling theory , bin packing problems , and network optimization . A recent trend in his research involves the innovative integration of machine learning techniques with traditional optimization approaches to solve complex real-world logistics challenges. His publications consistently demonstrate how theoretical advances in operations research can be translated into practical solutions for transportation, manufacturing, and urban logistics systems. Analysis of Professor DELL'AMICO's recent publication record (2023-2025) reveals a focused research trajectory addressing emerging challenges in logistics optimization. His extensive work on drone scheduling and vehicle routing problems represents cutting-edge contributions to last-mile delivery systems, while his papers on precedence-constrained arborescences and mathematical modeling demonstrate deep theoretical contributions to network optimization. The integration of self-supervised learning with combinatorial optimization, as showcased in his 2024 paper "Self-Labeling the Job Shop Scheduling Problem," illustrates his ability to bridge traditional operations research with modern artificial intelligence techniques. Professor DELL'AMICO actively contributes to academic education through multiple courses across UNIMORE's engineering programs. He teaches "Operations Research" for Computer Engineering and Electronic Engineering students, "Fundamentals of Operations Research" for Management Engineering students, and "Simulation, control and optimization for energetics" for the Master's program in Energy Engineering. His teaching approach emphasizes practical applications of optimization techniques to real engineering problems, preparing students to tackle complex decision-making challenges in industry. As a central figure in the UNIMORE Operations Research Group, Professor DELL'AMICO collaborates extensively with researchers across Europe on optimization projects with practical applications in transportation logistics, manufacturing systems, and sustainable urban mobility. His research has significant real-world impact, addressing challenges in electric vehicle infrastructure, urban delivery systems, and manufacturing optimization. The group maintains a strong focus on developing innovative mathematical models and solution algorithms for complex combinatorial problems encountered in engineering and business applications.

Maurizio RighettiView profile

Professor

• Hydraulic Engineering
• Water Resources Management
• Climate Change Impacts
• +2 more

Maurizio Righetti is a Full Professor at the Free University of Bozen-Bolzano within the Faculty of Agricultural, Environmental and Food Sciences. His research integrates hydraulic engineering, climate change adaptation, and sustainable water management, with a focus on Alpine environments. Research Interests: Righetti's work spans: Hydraulic systems optimization (e.g., sediment flushing, water distribution networks) Climate model bias correction for hydrological forecasting Renewable energy integration in water infrastructure Machine learning applications in ecohydraulics and resource management Impacts of hydropeaking and climate change on river ecosystems Recent Publications: His 15 most recent articles (2024-2025) demonstrate strong trends in: sediment dynamics modeling, AI-driven leak detection in water networks, climate data processing, and hybrid energy-water systems. Over 60% leverage machine learning, reflecting a shift toward data-centric environmental solutions. Engagement: He co-founded AIAQUA (unibz's water management spin-off) and leads public initiatives like "Action For Climate" to address climate-water linkages in Alpine regions.

Maksim KitsakView profile

Associate Professor

• Network Science
• Complex Networks
• Hyperbolic Geometry
• +6 more

Maksim Kitsak is an Associate Professor (tenured) at the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. He serves as the M.Sc. Program Coordinator for the Wireless Communication and Sensing track and is an Editorial Board Member for Nature Scientific Reports and IEEE Transactions on Network Science and Engineering. He also co-chairs the Dutch Network Science Society. Dr. Kitsak earned his Ph.D. in Physics from Boston University in 2009, advised by Prof. H.E. Stanley and Prof. S. Havlin. His academic career includes positions at Northeastern University, Dana-Farber Cancer Institute, and University of California San Diego before joining Delft University of Technology in March 2020 as a tenure-track Assistant Professor, achieving tenure in May 2022. His research spans network science with expertise in complex networks, hyperbolic geometry, epidemic spreading, and network resilience. He has pioneered work on using latent geometric spaces to understand network structure and function, with applications in communication networks, pandemic forecasting, and molecular biology. His influential 2010 Nature Physics paper on identifying influential spreaders in networks challenged conventional wisdom and spurred significant follow-up research. His publication record shows a strong trajectory with recent work focusing on hyperbolic geometry applications across multiple dimensions, network resilience in transportation systems, and epidemic modeling. His research has appeared in high-impact journals including Nature Communications, Nature Scientific Reports, and Physical Review journals, demonstrating both theoretical depth and practical applications. NWO VICI research grant for studying shortest paths in large incomplete networks Dutch Research Council (NWO) funding for "Mathematical Description and Inference of Complementarity Mechanisms in Complex Networks" Seed funding from TU Delft Safety and Security Institute for privacy and security theory Dr. Kitsak actively mentors students including Ph.D. candidates Roberto Gheda (Federated Learning, AI, and Privacy), Yongdin Tian (decentralized Machine Learning), and Elizaveta Evmenova (complementarity principles in networks), as well as M.Sc. students. His research group at Delft University of Technology focuses on advancing network science theory while applying insights to real-world problems in communication networks, network medicine, and pandemic response, with two current postdoctoral openings funded by the NWO VICI grant.

• Agro-biodiversity conservation
• Agricultural economics
• Sustainable food systems
• +5 more

Claudio Acciani is a Researcher at the Department of Soil, Plant, and Food Sciences (Di.SSPA) at the University of Bari (UNIBA). His work bridges agricultural economics, environmental policy, and rural development through empirical analyses and multidisciplinary frameworks. Research Focus : Agro-biodiversity conservation economics Aquaculture multifunctionality modeling Sustainable land/water management Consumer behavior in agrifood markets Climate-resilient agricultural systems Recent Publication Trends reveal expertise in: 2024 studies on ecosystem service valuation in Mediterranean basins 2023 work on Mediterranean diet adherence patterns 2022 economic analyses of drought-resistant crops and community composting 2016 territorial assessments of olive landrace conservation Methodological Approaches include latent class modeling, k-means clustering, choice experiments, and data mining techniques applied to agrifood systems and real estate valuation.