جست‌وجوی استاد و پژوهشگر

Ayokunle Anthony Osuntuyiمشاهده پروفایل

استادیار

• Financial Econometrics
• Computational Econometrics
• Bayesian Inference
• +۳ مورد دیگر

Ayokunle Anthony Osuntuyi is an Assistant Professor (Econometrics) at the Department of Economics, Ca' Foscari University of Venice. His research focuses on Financial and Computational Econometrics, with expertise in Bayesian Inference, Monte Carlo Methods, GARCH Models, Risk Management, and Portfolio Theory. PhD Economics (2014), University Ca' Foscari Venice, supervised by Monica Billio and Roberto Casarin Erasmus Mundus Master in Quantitative Economics (2009), University Ca' Foscari Venice, University of Paris 1, and University of Bielefeld BSc Statistics (2004), Obafemi Awolowo University, Nigeria Osuntuyi's research spans Bayesian nonparametric methods, Markov-switching GARCH models for financial volatility, climate risk analysis, EEG spectral dynamics, and optimization algorithms. He has contributed to energy futures hedging, financial cycles, and biomedical signal processing. His recent work trends include integrating Bayesian inference with panel data analysis for climate economics, advancing computational finance through nonparametric GARCH models, and applying statistical methods to neuroscience data. Collaborative projects with Roberto Casarin and Mauro Costantini highlight his focus on methodological innovation. Riccardo Faini award for best Master Thesis (2012) Erasmus Mundus Master Scholarship (2007-2009) Multiple research grants at Ca' Foscari University (2012-2020) Osuntuyi has received federal and institutional scholarships in Nigeria (2002-2003) and contributes as a referee for journals like Economic Modeling and Journal of the Nigerian Mathematical Society. His current role includes teaching and leading research projects on financial econometrics.

Laura Bonzanoمشاهده پروفایل

دانشیار

• Neuroscience
• Rehabilitation Sciences
• Biomedical Engineering
• +۳ مورد دیگر

Laura Bonzano is an Associate Professor at the University of Genoa, affiliated with the Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Maternal and Child Sciences (DINOGMI). Her academic work spans interdisciplinary research at the intersection of neuroscience and rehabilitation sciences, with a particular focus on cortical activity analysis, motor control mechanisms, and neuroimaging technologies. Teaching roles include course coordination for Medical Technologies for Clinical Neuroscience and Applied Research Methodology across multiple graduate programs. Research interests emphasize functional brain connectivity, rehabilitation technologies, and advanced neuroimaging techniques like functional near-infrared spectroscopy (fNIRS) and optical coherence tomography (OCT). Recent publications analyze cortical responses during locomotion, bimanual coordination challenges, and innovative approaches to medical imaging analysis. Her work demonstrates a commitment to improving rehabilitation methodologies through evidence-based approaches and technological innovation. Current teaching assignments include: Medical Technologies for Clinical Neuroscience (Master's Bioengineering) Applied Research Methodology (Rehabilitation Sciences) Experimental Research in Rehabilitation (Health Professions) Movement Analysis (Sports Sciences)

• Experimental physics of fundamental interactions
• Electronic technologies for particle accelerators
• High-energy physics experiments
• +۷ مورد دیگر

Alessandro Gabrielli is a Full Professor at the Department of Physics and Astronomy "Augusto Righi" at the University of Bologna, where he also serves as Coordinator of the PhD Course in Physics. His primary scientific discipline is PHYS-01/A Experimental physics of fundamental interactions and applications. He is affiliated with both the National Institute for Nuclear Physics (INFN) and CERN in Geneva. His research focuses on experimental physics, particularly electronic technologies applied to particle accelerators. His current research activities center on the ATLAS experiments at CERN in Geneva and DUNE in the United States. More recently, he has expanded his research interests to include cybersecurity, artificial intelligence, and quantum computing, aligning with new international research initiatives in applied physics. Professor Gabrielli has been engaged in numerous national and international research projects, collaborating extensively with the National Institute for Nuclear Physics. He has coordinated multiple experimental research activities and authored over 1,000 publications in international peer-reviewed journals. His H-Index is 116 (SCOPUS, February 2025). His scientific recognition includes serving as Editor in Chief for MDPI Journals: Electronics since 2021, Guest Editor for special issues on Microelectronics in 2023, and Editor of Frontiers in Detector Science and Technology. He has also served as a reviewer for the Dutch Research Council (NWO) for a grant of €280,000. In terms of academic guidance, he has supervised 6 PhD theses in Physics, 1 PhD thesis in Data Science and Computation, and 14 Master's theses in Physics at the University of Bologna. His research has been supported by multiple grants, including a PRIN 2022 grant of 173k€ for "High performance microelectronics for low-noise cryogenic applications" and an AlmaIdea 2022 grant of 24,000€ for developing a Hardware Firewall. Professor Gabrielli is actively involved in international collaborations, having served as a "Visiting Scientist" at the Rutherford Appleton Laboratory in the UK (2009), "Visiting Professor" at the Center for Human Space Robotics at the Italian Institute of Technology (2012-2013), and "Project Associate" contractor at CERN (2008-2010). He currently coordinates the Bologna section of the INFN for the DUNE experiment and various ATLAS hardware activities.

• Vehicle Dynamics
• Control Systems
• Tribology
• +۴ مورد دیگر

Francesco Bottiglione serves as Full Professor in the Department of Mechanics, Mathematics and Management at Politecnico di Bari, where he directs the Aerospace Systems Engineering degree program. His academic specialization in Applied Mechanics (ING-IND/13) focuses on mechanical systems dynamics with significant contributions to automotive engineering and surface science. Professor Bottiglione's research integrates theoretical and experimental approaches across five core domains: vehicle dynamics (developing nonlinear model predictive control for multi-actuated vehicles and trailer sway mitigation), surface mechanics (characterizing topography and friction through multi-laboratory benchmarking), biomechanics (applying machine learning to fencing performance analysis), additive manufacturing (fused filament fabrication for sensor integration), and seismic engineering (nonlinear viscoelastic damping systems). His work consistently bridges fundamental mechanics with practical applications in transportation, sports science, and structural safety. Analysis of his 2021-2025 publications reveals three dominant trends: (1) Advancement of model predictive control architectures for complex vehicle systems, particularly in articulated configurations; (2) Standardization efforts in surface topography characterization through multi-laboratory collaboration; and (3) Emerging integration of explainable machine learning in biomechanical analysis for aging populations and athletic performance. His research methodology emphasizes experimental validation of theoretical models, with increasing interdisciplinary collaboration evident in recent works.

• Additive Manufacturing
• Laser Materials Processing
• Welding Technology
• +۳ مورد دیگر

Giuseppe Casalino is a Full Professor in the Department of Mechanics, Mathematics and Management at Polytechnic University of Bari, Italy. His research focuses on advanced manufacturing technologies including additive manufacturing, laser materials processing, and welding systems. Based at Viale Japigia 182 in Bari, he can be contacted at giuseppe.casalino@poliba.it. His research spans critical areas in modern manufacturing: Additive Manufacturing (Wire Arc, Laser Powder Bed Fusion) Laser Materials Processing (Welding, Marking, Surface Treatment) Friction Stir Welding and Dissimilar Material Joining Statistical Process Optimization and Numerical Simulation Industry 4.0 Integration (IoT, Deep Learning, Business Intelligence) Material Characterization and Microstructure Control Analysis of recent publications reveals strong emphasis on experimental-statistical-numerical triad approaches for process optimization. Key trends include WAAM parameter refinement for metals, non-destructive thermographic evaluation of welds, and sustainable manufacturing through energy consumption analysis. His work bridges mechanical engineering, materials science, and computational methods with applications in automotive, aerospace, and marine industries. No scientific awards or student advisement information was provided in available materials. Research infrastructure details and grant funding information were not specified in the source documentation.

Stefano Alberto Malanمشاهده پروفایل

استادیار

• Automatic Control
• Control Engineering
• Systems Engineering
• +۱۰ مورد دیگر

Stefano Alberto Malan is a Tenured Assistant Professor at the Department of Electronics and Telecommunications (DET) , Politecnico di Torino, and a member of the CARS@PoliTO - Center for Automotive Research and Sustainable Mobility . His academic rank is Assistant Professor in the scientific disciplinary sector IINF-04/A - Systems and Control Engineering (Area 0009 - Industrial and Information Engineering). Educational Background : Laurea in Electrical Engineering (1988) from Politecnico di Torino. Control Engineer at FIAT Research Center (1988-1990). Research Interests : Stefano's work spans Automatic Control , Control Systems Engineering , and Dynamic Modeling , with a focus on model-based and sensor-based algorithms for combustion and emission control in diesel engines and Direct Virtual Sensors . He contributes to Robust Control via uncertainty model sets identification, Building Energy Management (e.g., WiFi4Energy, EcoThermo projects), and Automotive Systems (chassis dynamics, engine controls). His methodologies include Computer-Aided Control System Design using H-infinity and interval arithmetic, and Multi-objective Robustness Analysis . Article Trends : His publications since 2015 emphasize Control Systems (e.g., LiDAR for UAS precision spraying), Diesel Engine Emissions Management , Virtual Sensor Design , and Sustainable Mobility . Recent works integrate Machine Learning (e.g., recurrent neural networks) and Optimization Techniques (e.g., genetic algorithms) into automotive and energy systems. Teaching Contributions : He has taught Automotive Control Systems (2019–2025) and Automation and Planning of Production Systems (2020–2021) at Politecnico di Torino’s Master of Science in Computer Engineering . He is a member of the College of Computer, Film and Mechatronics Engineering . Patents : Co-inventor of two national patents: Gruppo contabilizzatore per impianti termici di riscaldamento o raffrescamento (2013, heating/cooling metering unit). Metering unit for heating or cooling systems (2010, PCT/IB2009/055912). Laboratories and Teams : Active in the Automatica Research Group at DET and the CARS@PoliTO center, Stefano collaborates on projects like WiFi4Energy and EcoThermo to advance sustainable mobility and energy efficiency.

• Computer Graphics
• Human-Machine Interaction
• Virtual Reality
• +۶ مورد دیگر

Andrea Sanna is a Full Professor at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin, Italy. His research focuses on 3D computer graphics , virtual and augmented reality , human-machine interaction , and scientific visualization . He has led numerous teaching initiatives, including courses on Computer Animation , Human-Machine Interaction , and 3D Graphics in Biometric Applications , with a strong emphasis on education technology and curriculum design. Scientific Branch: Information Processing Systems (Area 0009 - Industrial and Information Engineering) ERC Sectors: PE6_8 (Computer Graphics), PE6_9 (Human-Computer Interaction), PE6_11 (Machine Learning) His research spans peer-to-peer architectures , cloud solutions , and deep learning for 3D object reconstruction , with applications in augmented maintenance and synthetic dataset generation . He has contributed to European projects like OASIS and regional initiatives EASE-R3 and HUMANS. Recent publications highlight his work in AI-driven industrial design , VR/AR for sports analytics , and multimodal HMI systems . Awards include three Best Paper Awards (UCMEDIA 2009, HUCAPP 2017, SalentoAVR 2018) and a CNR fellowship (2002-2003). Advising : Supervising PhD candidate Luca Francesco Rossi on "Who’s What: From Recognition to Identification" and mentoring via the Mentoring Polito Project (M2P). Grants include funding for projects like Impressed: 3D Body Angle Calculation and Human-Robot Collaboration via AR .

• Analog, Power and Mixed-Signal Circuits
• Embedded Systems
• Big Data
• +۷ مورد دیگر

Luca Lombardo is a Fixed-term Researcher at Politecnico di Torino , affiliated with the Department of Electronics and Telecommunications (DET) and College of Electrical and Energy Engineering . He holds the academic role of Researcher in the IMIS-01/B - Electrical and Electronic Measurements sector.

• Manufacturing Technology
• Materials Science
• Laser Processing
• +۳ مورد دیگر

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 Bottaniمشاهده پروفایل

استاد

• Supply Chain Management
• Industrial Logistics
• RFID Technology
• +۷ مورد دیگر

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
• +۵ مورد دیگر

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
• +۶ مورد دیگر

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
• +۵ مورد دیگر

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 Fraccasciaمشاهده پروفایل

دانشیار

• Circular Economy
• Industrial Symbiosis
• Sustainable Consumer Behavior
• +۵ مورد دیگر

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 Lazzerettiمشاهده پروفایل

دانشیار

• Privacy-Preserving Technologies
• Secure Multi-Party Computation
• Biometric Security
• +۵ مورد دیگر

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.