Find Academic Supervisors

• Manufacturing Technology
• Materials Science
• Laser Processing
• +3 more

Gianfranco Palumbo serves as Full Professor and Director of the Mechanical Engineering Degree Program within the Department of Mechanics, Mathematics and Management at Polytechnic University of Bari. His research focuses on advanced manufacturing systems with specialization in laser processing, sustainable materials engineering, and biomedical prosthesis development. His primary research domains include Manufacturing Technology, Materials Science, Laser Processing, Sheet Metal Forming, Biomedical Engineering, and Tribology. Current investigations emphasize eco-friendly metalworking processes using natural emulsions, optimization of hydroforming for end-of-life component reshaping, and development of patient-specific titanium prostheses through superplastic forming and mixed reality design systems. His work bridges industrial manufacturing with biomedical applications, particularly in cranial and cheekbone prosthesis development. Analysis of his 2022-2024 publications reveals strong trends toward sustainable manufacturing solutions and advanced biomedical applications. Key themes include environmental impact reduction through natural metalworking fluids, computational optimization of forming processes using genetic algorithms, biomechanical evaluation of biomaterials, and integration of mixed reality in prosthesis design. His research consistently addresses material behavior under specialized forming conditions including laser heat treatment, superplastic deformation, and magnetorheological fluid applications. Professor Palumbo leads research activities in advanced manufacturing laboratories focusing on laser processing systems, superplastic forming equipment, and biomechanical testing facilities for prosthetic development. His work integrates experimental testing with numerical simulation for process optimization in both industrial and medical contexts.

Eleonora BottaniView profile

Professor

• Supply Chain Management
• Industrial Logistics
• RFID Technology
• +7 more

Eleonora Bottani is a Full Professor (Professor) at the University of Parma, affiliated with the Department of Systems Engineering and Industrial Technologies (DISTI) under the Department of Engineering and Architecture. Her career spans over 15 years of academic and research excellence in industrial logistics and supply chain management. PhD in Industrial Engineering (2006), University of Parma Graduated with honors in Engineering Management (2002), University of Parma Her research focuses on optimizing supply chains through advanced technologies like RFID and Industry 4.0/5.0, with a strong emphasis on sustainability, agility, and digital transformation. Recent work explores cold chain logistics, warehouse technologies, and AI-driven inventory systems. Her publications highlight trends in bibliometric analyses of Industry 4.0, RFID applications, and sustainable logistics. She leads the SIR grant project "Escalate" on economic and environmental supply chain sustainability. Top-10 Cited Paper - International Journal of Production Economics (2008-2010) Best Paper Awards (2012, 2016) Best Track Paper Awards (2016, 2018) Gianni Cantice Award for Simulation Excellence As a supervisor, she has mentored over 150 students and currently oversees two PhD candidates. She is Editor-in-Chief of the International Journal of Supply Chain and Inventory Management and co-founded the academic spin-off F.M.B. - Eng.In.E. S.r.l.

• Aerospace propulsion
• Space trajectory optimization
• Hybrid rocket engines
• +5 more

Lorenzo Casalino is Full Professor of Aerospace Propulsion at the Polytechnic University of Turin , based in the Department of Mechanical and Aerospace Engineering (DIMEAS) and the College of Mechanical, Aerospace and Automotive Engineering . Since 2021 he has served as the contact person for the entire Aerospace Engineering degree programme and has taught across every level from first-cycle propulsion fundamentals to doctoral courses on trajectory optimisation. Research Focus: Aerospace propulsion systems, with emphasis on hybrid rocket engines Space trajectory optimisation using classical and AI-based methods Multiphysics modeling of combustion instability Reinforcement learning for autonomous mission planning His recent publications demonstrate a clear trend toward integrating machine-learning techniques —especially neural networks and reinforcement learning—into traditional astrodynamics problems such as low-Earth-orbit transfers and autonomous phasing maneuvers, while continuing cutting-edge experimental and numerical work on paraffin-fuelled hybrid rockets. Scientific Awards & Recognition AIAA Best Paper Award, Hybrid Rockets Technical Committee — 2006, 2007 Member, Editorial Board, Aerospace (MDPI) since 2020 Member, Editorial Board, Astrodynamics since 2017 Doctoral Supervision & Grants He currently supervises three PhD candidates: Andrea Forestieri (deep learning for trajectory optimisation), Davide Costigliola (analytical manoeuvring strategies for proximity operations), and Alessia De Iuliis (pseudospectral methods for trajectory optimisation). Competitive grants include principal-investigator roles in ASI’s G4S-Galileo for Science 2.0 (2021-2022), the ARGONAUT lunar transfer study (2024), and ANIME Phase A trajectory design (2023-2024). Labs & Teams He leads the Aerospace Propulsion Research Group within DIMEAS, coordinating experimental, numerical and AI-assisted projects that bridge propulsion science and mission analysis.

• Grooved couplings
• Material fatigue
• Graphene greases
• +6 more

Francesca Maria Cura' is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin and a Member of the Interdepartmental Center J-Tech@PoliTO, contributing to interdisciplinary research initiatives. Her research focuses on mechanical design and material science with particular emphasis on: Grooved couplings Material fatigue Graphene greases Lightened gears Non-destructive methods Thermography Gear transmissions Professor Cura's recent publications demonstrate a strong trajectory toward integrating thermographic analysis with machine learning for material evaluation, particularly in gear systems and welded joints. Her work shows increasing sophistication in using infrared thermography for residual stress identification and fatigue analysis, with applications spanning traditional mechanical components to advanced materials. The research combines experimental methods with computational approaches to develop more efficient non-destructive testing methodologies. She received the Start Cup Piemonte and Valle d'Aosta award in 2024, recognizing her contributions to engineering innovation. Professor Cura' has mentored doctoral students Luca Santoro, Luca Corsaro, and Edoardo Goti. Her research portfolio includes significant projects like RILEnergy (2023-2024) for forest resource valorization for energy efficiency, and the development of active thermography methodology for measuring residual stresses (2023-2024). She leads research in the 'Progettazione e sperimentazione di organi di trasmissione e termografia' (Design and testing of transmission components and thermography) group at DIMEAS, focusing on innovative thermographic techniques for mechanical component analysis and quality control.

• Global Optimization
• Numerical Analysis
• Mathematical Optimization
• +5 more

Yaroslav D. Sergeyev is a Distinguished Professor affiliated with both University of Calabria in Italy and Lobachevsky University in Russia. With over 8842 citations, he has established himself as a leading researcher in mathematical optimization and computational mathematics. His academic career spans multiple institutions, reflecting his international recognition in the mathematical community. Sergeyev's research primarily focuses on Global Optimization, Numerical Analysis, and his groundbreaking work on Infinity Computing. He has developed novel methodologies for handling infinite and infinitesimal quantities, challenging traditional approaches in numerical analysis. His work bridges theoretical mathematics with practical computational implementations, particularly in addressing complex optimization problems that arise in engineering and scientific applications. The development of the "Infinity Computer" represents one of his most innovative contributions to computational mathematics. His publication record shows consistent contributions since the 1990s, with significant acceleration in the 2000s and 2010s. His research demonstrates a clear progression from traditional optimization techniques to more revolutionary approaches involving numerical infinities. The publications reveal expertise in both theoretical foundations and practical algorithm development for global optimization problems. Scientific Awards: 2010 Pythagoras International Prize in Mathematics Sergeyev's work has significant implications across multiple disciplines requiring advanced optimization techniques. His methodologies have potential applications in engineering design, computational physics, and complex system modeling where traditional numerical approaches face limitations. The development of computational tools based on his theoretical frameworks represents an important contribution to scientific computing.

Luca FraccasciaView profile

Associate Professor

• Circular Economy
• Industrial Symbiosis
• Sustainable Consumer Behavior
• +5 more

Luca Fraccascia is an Associate Professor at Sapienza University of Rome and an Adjunct Professor at the University of Twente (The Netherlands). He holds a PhD in Mechanical and Management Engineering from Politecnico di Bari (Italy) and serves as Editor of Resources, Conservation and Recycling Advances and Associate Editor of Sustainable Development . His research focuses on industrial symbiosis, circular economy, sustainable consumer behavior, agent-based modeling, business models, and economic complexity. Research Highlights: His work spans circular economy implementation in SMEs, industrial symbiosis dynamics, sustainable product design in mass customization, and behavioral economics in sustainable consumption. He has developed simulation tools for circular business education and investigates energy transitions in global markets. Scientific Awards: AiIG Giorgio Pagliarani Best Paper Award 2019 Special mention at Gianluca Spina Best Paper Award 2022 Included in the global Top 100,000 Scientists list (2020 & 2021) Leadership Roles: Member of the Italian Association of Management Engineering (AiIG), editorial board member for Journal of Business Research , and acts as guest editor/referee for multiple journals. He also demonstrates expertise in wine as a certified sommelier.

Riccardo LazzerettiView profile

Associate Professor

• Privacy-Preserving Technologies
• Secure Multi-Party Computation
• Biometric Security
• +5 more

Riccardo Lazzeretti serves as Associate Professor at Sapienza University of Rome since September 2022, following progression from Assistant Professor roles (RTD-A/B) at the same institution from 2017-2022. His academic trajectory includes post-doctoral research at the University of Siena's VIPP group, a research grant at the University of Padua, and industry experience at Italian startup Cynny s.p.a. His educational foundation comprises: MSc in Computer Science Engineering, University of Siena (2007) PhD in Information Engineering, University of Siena (2012) Lazzeretti's research centers on privacy-preserving technologies with emphasis on Secure Multi-Party Computation for encrypted signal processing. His work spans biometric security (including multi-biometric authentication), IoT security protocols, blockchain applications in healthcare, and social network misinformation detection. Recent publications demonstrate deep integration of cryptographic techniques with machine learning for resource-constrained devices and critical infrastructure protection. Analysis of his 15 most recent publications reveals dominant trends in IoT/drone security (32% of works), browser/API vulnerabilities (13%), and privacy-preserving architectures (27%). His research consistently bridges theoretical cryptography with practical system implementations, particularly for emerging technologies like NDN and programmable data planes. His scholarly recognition includes: SIGMM Test of Time Paper Honourable Mention (2021) for Multimedia Security contributions IET Biometrics Premium Best Paper Award (2021) Lazzeretti has supervised graduate students at the University of Siena and secured research funding through collaborations with NATO's CMRE, Digital Catapult (UK), and IMT Lucca. Current projects include privacy-preserving consensus algorithms for IoT and blockchain-based health applications. He maintains active partnerships with European research entities including Centre for Maritime Research and Experimentation and Digital Catapult. His laboratory affiliations encompass the VIPP research group at University of Siena and ongoing collaborations with Sapienza's cybersecurity initiatives, focusing on cross-disciplinary teams integrating signal processing, cryptography, and machine learning expertise.

Mattia MattioniView profile

Associate Professor

• Control of Networked Systems
• Hybrid Dynamical Systems
• Nonlinear Control
• +3 more

Mattia Mattioni is Associate Professor at the DIAG department of Sapienza University of Rome, where he carries out research and teaching in control engineering. Since 2022 he serves as Associate Editor for the IEEE Control Systems Society Conference Editorial Board and since 2020 as Corresponding Member of the IFAC Technical Committee on Non-linear Control Systems. Education: Ph.D. in Systems and Control Theory (2018) – joint program, Sapienza Università di Roma & Université Paris-Sud Double M.Sc. "Master de Recherche en Automatique, Traitement du Signal et des Images" (2015) – Université Paris-Sud M.Sc. (Laurea Magistrale) in Control Engineering (2014) – Sapienza Università di Roma, magna cum laude B.Sc. (Laurea) in Control Engineering (2012) – Sapienza Università di Roma, magna cum laude Research interests revolve around hybrid systems , networked control , nonlinear dynamics under sampling and time-delays , with emphasis on multi-agent consensus , passivity-based design and string stability of vehicle platoons . His work blends theoretical developments (Lyapunov and geometric techniques) with practical digital implementation issues, producing tools applicable to robotics, automotive formations and general sampled-data engineering systems. Recent publications (2024-2025) concentrate on digital passivity-based control , asynchronous sampled-data consensus , string-stable platooning and multi-consensus in hybrid networks , showing a clear trajectory toward robust, distributed and energy-aware control solutions for cyber-physical systems. Scientific awards: Premio SIDRA "Miglior Tesi di Dottorato 2019" – best Italian Ph.D. thesis in Automatic Control Finalist, Prix des meilleures thèses du GDR MACS & Club EEA 2019 – best French-university Ph.D. thesis in Automatic Control Editorial & committee service: Associate Editor, IEEE CSS Conference Editorial Board (2022-present) Corresponding Member, IFAC TC 2.5 Non-linear Control Systems (2020-present) No graduate students or grant details are disclosed in the supplied material; his office is located in room A205, DIAG, Via Ariosto 25, Rome.

• Algorithm Engineering
• Health IT
• Information Systems
• +8 more

Umberto Nanni is a full Professor of Information Management Systems at the University of Rome "La Sapienza" since November 2005. He has held significant leadership roles including Director of the Research Center for Distance Learning and Technologies for Learning at Telematic University Unitelma Sapienza (2015-2022) and President of the Area Council in Information Engineering at the Latina location of University of Rome "La Sapienza" (2014-2020). Professor Nanni's research spans multiple domains with primary focus on Algorithm Engineering (particularly path algorithms and combinatorial problems), Health IT, Information Systems (with applications in Transport and Logistics, Cultural Heritage), and Technology Enhanced Learning. His work integrates Big Data, Graph and Text mining, Incremental Algorithms, Dynamic Data Structures, and Internet of Things technologies to address complex challenges in these areas. His recent publications demonstrate a strong trend toward biomedical applications, particularly in biospecimen management and digital twins for precision medicine, while maintaining his foundational work in algorithm design and educational technology. The research shows increasing interdisciplinary collaboration, especially between computer science and healthcare domains, with notable publications in Cancer Genomics & Proteomics and other high-impact journals. He has advised over 400 undergraduate and master's theses along with 2 PhD students He has led numerous significant research projects including "Artificial Intelligence algorithms to track and detect Covid-19 vaccine-related infodemic on social media" (2023-2025) He coordinated the "ADCATER - Advanced Digital Solutions for Professional Food and Nutrition Catering Service" project (2021-2023) He served as Principal Investigator for the eLF-eLearning Fitness project (2011-2014) with 19 partners and 42 associated partners Professor Nanni co-founded and was instrumental in developing SPRECware, software tools for Standard PREanalytical Code labeling to improve biospecimen management. His work has resulted in over 100 scientific papers with an h-index of 27, demonstrating substantial impact across computer science, healthcare informatics, and educational technology domains.

Veronica PiccialliView profile

Professor

• Nonlinear Optimization
• Semidefinite Programming
• Game Theory
• +6 more

Veronica Piccialli is a Full Professor at the Department of Computer, Control and Management Engineering "Antonio Ruberti" (DIAG) at Sapienza University of Rome. She teaches Geometry I for Management Engineering and Optimization Methods for Machine Learning for Data Science. Previously, she was Associate Professor at the University of Rome Tor Vergata (2020-2021) and Researcher there from 2008 to 2020. She serves as Associate Editor for INFORMS Journal on Computing (since 2019) and EURO Journal on Computational Optimization (since 2021). Dr. Piccialli earned her degree in Computer Engineering (summa cum laude) and PhD in Operations Research from Sapienza University of Rome in 2000 and 2004 respectively. In 2006, she completed a postdoc at the Combinatorics & Optimization department of the University of Waterloo, Canada. She obtained Italian national scientific qualifications as Associate Professor in 2013 and as Full Professor in 2017. Her research focuses on the intersection of optimization and machine learning, with particular expertise in nonlinear optimization, semidefinite programming, and mixed integer nonlinear programming. She applies these methods to diverse areas including Brain Computer Interfaces, electric consumption disaggregation, and process engineering for membrane systems. Her work demonstrates how advanced optimization techniques can enhance machine learning algorithms and solve complex engineering problems. Her recent publications show a strong trend toward integrating optimization with machine learning, particularly in clustering algorithms, support vector machines, and neural networks. She has developed exact algorithms for semi-supervised learning problems and applied optimization techniques to real-world challenges in logistics, energy systems, and process engineering. Her interdisciplinary approach bridges theoretical advances in optimization with practical applications across multiple domains. Dr. Piccialli has authored or co-authored over 40 articles in prestigious journals including Mathematical Programming, SIAM Journal on Optimization, IEEE Transactions on Neural Networks and Learning Systems, and Computational Optimization and Applications. She has also contributed 3 refereed book chapters to international publications. As an educator, she supervises student research and teaches advanced courses in optimization methods and geometry. Her teaching materials demonstrate a commitment to connecting theoretical concepts with practical applications, particularly in data science and machine learning contexts. Her current research involves collaborations with Université de Lorraine on membrane systems for gas filtration and with RFI (Rete Ferroviaria Italiana) on optimizing last-mile facilities for freight trains, demonstrating the real-world impact of her optimization expertise.

Pierfrancesco ReverberiView profile

Professor

• Industrial Economics
• Regulatory Economics
• Telecommunications
• +3 more

Pierfrancesco Reverberi is a Full Professor of Applied Economics at Sapienza University of Rome, where he has been a faculty member since 2000, progressing from Researcher to Associate Professor and now Full Professor. His academic work centers on industrial organization within economic regulation frameworks, with deep expertise in network industries. He earned his PhD in Engineering Economics in 1998. His educational contributions span Industrial Systems Economics since 1999-2000, Economics and Organization of Services since 2008-2009, and prior instruction in Economics and Business Organization, including doctoral training in Engineering Economics. Reverberi's research focuses on competition dynamics, regulatory mechanisms, and investment strategies in network industries, particularly telecommunications and transportation infrastructure. His work integrates theoretical industrial organization with empirical policy analysis, examining intellectual property rights, privacy regulation, and cross-sectoral integration challenges in regulated markets. His 2020-2024 publications demonstrate consistent emphasis on transportation economics (rail-bus-air integration), digital health innovation under privacy constraints, and capacity-limited resource allocation. These studies employ advanced economic modeling to address real-world regulatory dilemmas in network industries, maintaining his longstanding focus on infrastructure sectors. Scientific Awards: No specific awards, prizes, or fellowships were mentioned in the source text. He has secured research funding from major institutions including: Italian Ministry of Education, Universities and Research (MIUR/MURST) European Union research programs AGCOM (Italian Communications Authority) Wind Telecomunicazioni industry partnerships Reverberi has supervised numerous master's theses on industrial economics topics while serving on key institutional bodies including the Scientific Council of Fondazione Ugo Bordoni, Doctoral Program Committee in Automatics and Operations Research, and Secretariat Committee of the Italian Association of Management Engineering. His government advisory roles for mobile telecommunications licensing and industry analyses for Wind/Tiscali demonstrate applied policy impact.

Sanja BaricView profile

Professor

• Plant Pathology
• Agricultural Sciences
• Molecular Genetics
• +3 more

Sanja Baric is a Professor at the Faculty of Agricultural, Environmental and Food Sciences of Free University of Bozen-Bolzano (unibz), Italy. Her research focuses on plant pathology , particularly chestnut blight and apple postharvest diseases , integrating molecular genetics and agricultural technology to enhance disease detection and management. Current projects address phytoplasma infections in apple trees and fungal pathogens in fruit crops. She teaches courses in plant protection and phytopathology for bachelor’s and master’s programs in Agricultural, Food and Mountain Environmental Sciences. Her publications emphasize genetic diversity of pathogens like Cryphonectria parasitica and Colletotrichum species , alongside innovative diagnostic tools such as knowledge-based Bayesian networks and duplex TaqMan assays . While no specific awards are listed, her work aligns with EU-funded collaborations and interdisciplinary agricultural research .

• Mathematical Analysis
• Frame Theory
• Gabor Frames
• +3 more

Rosario Corso is a Researcher (MATH-03/A) at the Department of Mathematics and Computer Science , University of Palermo. He teaches Mathematical Analysis courses across multiple programs including Computer Engineering , Chemistry , and Biomedical Engineering . His research focuses on: Frame Theory and Operator Analysis Medical Imaging (Prostate Cancer Detection) AI Applications in Radiomics Harmonic Analysis and Functional Spaces Recent publication trends show expertise in: Shearlet Transform for Radiomics Analysis Parametric Curve Modeling in MRI Spectral Properties of Frame Multipliers Generalized Sampling Techniques Contact: rosario.corso02@unipa.it

• Radiation Dosimetry
• Medical Physics
• FLASH Radiotherapy
• +7 more

Maurizio Marrale serves as Associate Professor in the Department of Physics and Chemistry at the University of Palermo (Unipa), holding position PHYS-06/A. His office is located at the Department of Physics and Chemistry "Emilio Segre" (DIFC), Viale delle Scienze, Building 18, with regular office hours on Thursdays from 3:00 PM to 5:00 PM. His research spans radiation dosimetry, medical physics, and advanced imaging techniques. Key focus areas include FLASH radiotherapy verification using alanine/EPR dosimetry and silicon carbide detectors, transcranial magnetic resonance-guided focused ultrasound for neurological disorders (particularly essential tremor), and MRI-based dosimetry with Fricke gels. His work bridges physics principles with clinical applications in radiation oncology and diagnostic imaging. Analysis of his 15 most recent publications reveals strong emphasis on Ultra-high dose rate (UHDR) beam characterization for FLASH radiotherapy Development of novel dosimetry systems (SiC detectors, ionoacoustic sensors) Advanced neuroimaging techniques for thalamic targeting Diffusion correction methodologies in 3D dosimeters Clinical MRI applications for neurological disorders His research demonstrates consistent integration of computational modeling (Geant4, deep learning) with experimental validation. As principal supervisor, he has guided over 35 master's theses at Unipa between 2009-2024, primarily in Physics and Medical Radiology Techniques programs. His supervisory work focuses on radiation dosimetry applications, MRI physics, and radiotherapy technology validation.

• System Identification
• Control Theory
• Dynamical Systems
• +3 more

Simone Pirrera is a Research Fellow at the Department of Control and Computer Science (DAUIN) and an External Lecturer/Teaching Assistant at the Department of Electronics and Telecommunications (DET), both at Politecnico di Torino. He contributes to teaching in the Mechatronic Engineering Master's program through roles in the 'Laboratory of robust identification and control' since 2022. Research Focus: System identification, control theory, convex optimization, and data-driven methods for dynamical systems. Research Groups: Member of SIC - System Identification & Control (DAUIN). Publications: 2025 doctoral thesis (Politecnico di Torino) and multiple conference/journal contributions since 2021. Email: simone.pirrera@polito.it His recent work explores optimization methods for dynamical systems learning, Tustin discretization techniques for MIMO systems, and feedback-based constrained optimization frameworks. Publications span high-impact venues like IEEE CDC, ECC, and IEEE ACCESS. Scientific awards or formal honors are not explicitly mentioned in the available materials. Teaching responsibilities include collaborative instruction in robust control systems for Mechatronic Engineering undergraduates and graduates.