Find Academic Supervisors

• Battery simulation
• Cyber physical system
• Design simulation
• +12 more

Sara Vinco is an Associate Professor at the Department of Control and Computer Engineering (DAUIN), Politecnico di Torino, Italy. She specializes in battery simulation, digital twins, and energy-efficient design automation for heterogeneous embedded systems, aligning with Industrial and Information Engineering (Area 0009) and ERC sectors including Computer Architecture and Machine Learning . Her research focuses on advancing cyber-physical systems through simulation frameworks like SystemC-AMS, enabling holistic modeling of analog, digital, and thermal domains. Key projects include data-driven digital twins for EV batteries and low-area digital circuits in industrial/medical applications, supported by commercial contracts such as C-based virtual prototyping. Her recent publications (2022-2023) emphasize machine learning for battery SOH/SOC estimation , energy monitoring in production lines , and multi-domain fault modeling . These works span journals like IEEE Transactions and conferences including DATE and ISLPED. Awarded the FFABR 2017 grant and IEEE FDL Best Paper Award 2011 , she also chairs editorial boards for IEEE Transactions on CAD and DATE Conference. She supervises PhD students Giovanni Pollo (Digital Circuits) and Khaled Alamin (EV Battery Twins), reflecting her leadership in smart systems design.

• Software Engineering
• Artificial Intelligence
• AI Trustworthiness Assessment (SE4AI)
• +5 more

Gias Uddin is an Associate Professor at York University's Lassonde School of Engineering and an Adjunct Professor at the University of Calgary . His research bridges Software Engineering (SE) and Artificial Intelligence (AI) , focusing on AI Trustworthiness Assessment (SE4AI) and AI-Driven Productivity Tools (AI4SE) . PhD in Software Engineering & AI, McGill University (2018) MSc in Software Engineering, Queen’s University (2008) BSc in Computer Science & Engineering, Bangladesh University of Engineering and Technology (2004) His research explores: Metamorphic Relations for LLM Hallucination Detection AI-Enhanced Software Documentation Foundational Models for Runtime System Modernization Developer-Centric AI Tooling Recent article trends show expertise in LLM Trustworthiness , Low-Code Platforms , and IoT Developer Communities . Awards include Distinguished Paper at FSE 2025 , multiple IBM Champion recognitions, and York Research Award . He leads the Data Intensive Software Analytics (DISA) Lab and mentors PhD students in SE-AI Intersections .

• Cognitive Neuroscience
• Developmental Psychology
• Neuroimaging
• +3 more

Giovanni Mento is an Associate Professor at the Department of General Psychology, University of Padova. His research focuses on cognitive neuroscience, developmental psychology, and clinical neurology, with a particular emphasis on neural mechanisms underlying cognitive control, emotional processing, and neurodevelopmental disorders. He employs advanced neuroimaging techniques like high-density EEG to investigate topics such as temporal prediction, decision-making in children, and the impact of preterm birth on brain development. His work integrates interdisciplinary approaches, combining machine learning with electrophysiological data analysis to address challenges in epilepsy forecasting and predictive brain activity. Key research areas include implicit learning, motivational contexts influencing cognition, and the application of EEG to study socio-emotional and behavioral disorders in clinical populations. Recent studies explore the effects of yoga-mindfulness interventions on cognitive control in children, dynamic brain states in preschoolers, and methodological rigor in EEG-based machine learning models. His contributions span both theoretical frameworks (e.g., re-examining top-down control models) and applied clinical research (e.g., neonatal intensive care practices). Mento’s articles highlight trends in understanding developmental trajectories, predictive neural mechanisms, and translational applications of neuroscientific findings to real-world contexts like education and healthcare.

• Management
• Sustainable Supply Chain Management
• Digital Transformation
• +3 more

Andrea Appolloni is an Associate Professor at the Department of Management and Law, University of Rome Tor Vergata. His academic career focuses on Management with emphasis on Sustainable Supply Chain Management , Digital Transformation , and Circular Economy . His research explores the intersection of technological innovation and sustainability, particularly through topics like AI in Logistics , Green Procurement , and Policy Optimization . Publications span both theoretical frameworks and empirical studies in China, Italy, and Malaysia, with a strong focus on environmental impact and organizational performance. Recent work includes digital twin applications for human-AI collaboration, blockchain integration in sustainable supply chains, and analyzing barriers to circular economy adoption. His 15 most recent articles (2025-2022) demonstrate a trend toward combining Artificial Intelligence , Operations Management , and Environmental Governance .

Basile GrassiView profile

Assistant Professor

• Macroeconomics
• Industrial Organization
• Firm Dynamics
• +3 more

Basile Grassi is an Assistant Professor of Economics at Bocconi University, Research Fellow at CEPR, and Affiliate at IGIER. He obtained his PhD from Paris School of Economics and completed postdoctoral research at Oxford University. His research examines macroeconomic phenomena through firm-level lenses, particularly focusing on how production networks, firm heterogeneity, and industrial organization shape aggregate economic outcomes. Major contributions include analyzing business cycle fluctuations through large firm dynamics, measuring pandemic impacts via input-output networks, and studying EU integration effects. Grassi teaches intermediate macroeconomics at undergraduate and PhD levels. He develops analytical tools for assessing sectoral economic shocks, with applications to climate change adaptation and industrial policy.

• Agricultural Sustainability
• Environmental Impact Assessment
• Animal Behavior and Welfare
• +3 more

Maurizio Ramanzin is a Full Professor at the University of Padova , affiliated with the School of Animal Science and Department of Agronomy, Animals, Food and Natural Resources (DAFNAE) . His research focuses on Agricultural Sustainability , Environmental Impact Assessment , and Precision Livestock Farming . Academic Field : AGR/19 Email : maurizio.ramanzin@unipd.it Address : Agripolis - Viale dell'università, 16 - Legnaro (Padova) – ITALY His work explores the interactions between livestock systems and ecosystem services in mountainous regions, with emphasis on: Grazing Management and biodiversity conservation Life Cycle Assessment (LCA) of dairy and beef systems Climate Change Adaptation in Alpine ungulates Animal Welfare in small-scale farms Technological Tools (GPS, NIRS) for monitoring grazing behavior Key trends in his recent publications include: Quantifying environmental drivers of wolf predation on livestock Developing low-cost biologging systems for dairy cows Analyzing social-ecological trade-offs in mountain agriculture Assessing microbial dynamics in alpine soils

• Software Engineering
• Mobile Applications Testing
• Web Application Testing
• +15 more

Maurizio Morisio is a Full Professor at the Department of Control and Computer Science (DAUIN), Polytechnic University of Turin, where he is also a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. He has held numerous leadership roles in national and international research projects and academic events. University: Polytechnic University of Turin Department: Department of Control and Computer Science (DAUIN) Research Affiliation: SmartData@PoliTO, SOFTENG Research Group Email: maurizio.morisio@polito.it His research interests include software engineering, mobile and web application testing, energy efficiency of software, machine learning, data science, and green software. He has led significant research in empirical software engineering, gamification of testing, and user-centric service platforms. The recent publications highlight a strong focus on GUI testing , gamification in education and testing , and software process improvement . These works reflect interdisciplinary integration of software engineering with human factors, education, and AI. Scientific Awards and Editorial Roles: Editor-in-Chief of IEEE SOFTWARE since 2008 Program Chair of major conferences including ICSR, ESEM, and GREENS workshops Advising and Grants: He has advised multiple PhD students, including Anna Arnaudo and Simone Leonardi. He has served as the Scientific Manager or Director on over 20 research projects funded by EU, national, regional, and commercial sources, including FP6, Clean Sky, FIRB, and industrial contracts in data science, AI, and software engineering. Research Groups and Labs: He is a key member of the SOFTENG - Software Engineering Group (DAUIN) and contributes to the SmartData@PoliTO center, focusing on data-intensive systems and AI applications in software engineering.

Antonello ZangrandiView profile

Professor

• Healthcare Management
• Public Sector Economics
• Crisis Management
• +7 more

Antonello Zangrandi is a Full Professor at the University of Parma's Department of Economics and Business Sciences and serves as Director of the Master's Degree in Management of Health and Social Health Services there. He also lectures at Bocconi University's School of Business Administration in Milan and acts as Scientific Director for National Health Service Executive Training Courses. Full Professor, University of Parma Lecturer, Bocconi University Scientific Director, National Health Service Training His research focuses on healthcare management, public sector economics, crisis management, and ESG applications in nonprofit organizations. He analyzes managerial roles in public hospitals, big data integration, and pandemic response strategies. Recent publications examine healthcare leadership, social reporting frameworks, and performance measurement tools. His work emphasizes collaboration between clinicians and administrators and the impact of regional policies on healthcare systems. As Director of the Master's program, he oversees curriculum development for health services management. His teaching spans economics of public companies, business informatics, and nonprofit organizational models across various academic years and degree tracks.

Federico ReghenzaniView profile

Assistant Professor

• Computer Science
• Embedded Systems
• Fault Tolerance
• +3 more

Federico Reghenzani is an Assistant Professor at Politecnico di Milano in the Department of Electronics, Information and Bioengineering. His research focuses on computer science, embedded systems, fault tolerance, high-performance computing, real-time systems, and compiler technology. He leads the HEAP Lab where his team investigates reliability engineering and hardware-software co-design for safety-critical applications. Reghenzani's research examines software-based approaches to hardware fault tolerance, compiler technologies for reliability enhancement, and resource management in high-performance computing environments. His work has significant applications in aerospace systems, real-time embedded platforms, and next-generation computing architectures. His publications demonstrate a consistent focus on improving system reliability through compiler techniques, fault injection methodologies, and hardware-software co-design. The research spans theoretical frameworks, practical implementations, and experimental validation across diverse computing environments.

• Software Engineering
• Formal Methods
• Software Architectures
• +7 more

Patrizia Scandurra is an Associate Professor at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. Her academic appointment in Computer Science (01/B1) spans from 2022 to 2033. She previously held roles as a researcher at the University of Bergamo (2009-2017) and postdoctoral fellow at the University of Milan (2006-2008). She earned her PhD in Computer Science (2006) and Bachelor's degree (2002) from the University of Catania. Research Focus : Software architectures and formal methods for modeling, validation, and verification of software-intensive systems. Specializations : Runtime analysis of self-adaptive, autonomous, and uncertain systems including IoT-Edge-Cloud applications, embedded systems, and system-on-chip. Collaborations : STMicroelectronics, Atego, Bialetti, and ENEA. Conference Involvement : Program/organizing committees for ICSE, ASE, ISSRE, ICSA, ECSA, SEAMS@ICSE, ABZ, SA-TTA@SAC, FAACS@ECSA. Research Projects : Model-driven development for robotics, adaptive architectures for pervasive systems, big data in smart cities, and digital twins for medical systems. Notable Contributions : Development of the ASMETA formal method community tools and frameworks for rigorous system design. She has published over 100 peer-reviewed works in international journals and conferences.

Iacopo ColonnelliView profile

Assistant Professor

• Scientific Workflow Systems
• High-Performance Computing
• Cloud Computing
• +6 more

Iacopo Colonnelli is an Assistant Professor (RTDA) at the University of Turin's Computer Science Department and a member of the Alpha Research Group (Parallel Computing) and CINI HPC Key Technologies and Tools lab. He has established himself as a leading researcher in scientific workflow systems, bridging cloud computing and high-performance computing environments. His research focuses on workflow modeling and management in heterogeneous distributed architectures, with significant contributions through open-source tools including StreamFlow (a container-native workflow management system), Jupyter Workflow, and CAPIO (middleware for I/O streaming). These tools enable hybrid workflows execution on cloud-HPC infrastructures and have gained recognition through multiple European projects and initiatives. Colonnelli's publication record shows consistent output in top venues related to parallel and distributed computing, with recent work focusing on federated learning, confidential computing, and workflow standardization. His most recent publications (2024-2026) demonstrate strong engagement with cutting-edge challenges in cross-facility federated learning, workflow representation languages, and performance evaluation of confidential computing for bioinformatics applications. Scientific Awards: ITADATA 2023 Best PhD Thesis Award for 'Workflow models for heterogeneous distributed systems' StreamFlow selected as one of the three exploitable results of the EUPEX European project (2023) StreamFlow selected as an exploring technology by the EC Innovation Radar initiative (2023) 'Distributed Workflows With Jupyter' selected as Fall 2022 Editor's Choice by Future Generation Computer Systems journal HPC-Europa3 grant recipient for Barcelona Supercomputing Center visit (2019) HiPEAC grant recipient for ACACES 2019 Summer School (2019) As an active contributor to research infrastructure, Colonnelli serves as a member of the CWL Technical Team and founder of the CWL4HPC Working Group. He has organized multiple international conferences including PDP 2025 as program chair and CWLCon 2024. His service extends to numerous program committees for major HPC conferences and journals, demonstrating his standing in the international research community. Colonnelli leads significant contributions to multiple European research projects including Space Center of Excellence, European Pilot, EUPEX, TEXTAROSSA, ACROSS, DeepHealth, and HPC4AI, focusing on advancing HPC and AI technologies for scientific applications.

Marco CucculelliView profile

Professor

• Applied Economics
• Innovation Management
• Environmental Economics
• +5 more

Prof. Marco Cucculelli is a Full Professor at the Department of Economics and Social Sciences, part of the Faculty of Economics 'Giorgio Fuà' at the Polytechnic University of Marche in Ancona, Italy. His work focuses on applied economics with emphasis on innovation management, environmental economics, digital transformation, and regional development. He holds office hours every Wednesday 17:00-19:00 at the Faculty of Economics. Research interests include eco-innovation metrics, corporate governance of family firms, transnational entrepreneurship, and the impact of digital technologies on business models. His recent work explores renewable energy trade dynamics, AI applications in finance, and regional competitiveness strategies. Publications span over 50+ articles in peer-reviewed journals and conference proceedings, with a focus on empirical analyses using patent data, bibliometrics, and policy evaluation. He actively contributes to research projects analyzing SME innovation, ESG factors in regional enterprises, and Industry 4.0 adoption strategies.

• Nuclear Physics
• Accelerator Physics
• Medical Physics
• +7 more

Giacomo Cuttone is a Research Director at the INFN - Southern National Laboratories of Catania (INFN-LNS), a leading Italian research institution in nuclear and accelerator physics with significant applications in medicine. He has held key national and international roles, including MIUR delegate for H2020-Euratom and Italian coordinator of the KM3NeT ESFRI project. Though not a university faculty member in the traditional sense, his academic-level research, teaching at the University of Catania, and leadership in large scientific collaborations affirm his status as a senior academic researcher. PhD in Physics, majoring in Nuclear Physics with specialization in Accelerator Physics, University of Catania (1983) His research interests center on accelerator physics , medical physics , and hadrontherapy , with a strong focus on translating fundamental physics into clinical applications such as proton and ion therapy for cancer treatment. He has pioneered the development of the CATANA protontherapy facility, the first and only operational Italian center for ocular melanoma, treating over 500 patients. His work extends to neutrino astronomy (KM3NeT), Monte Carlo simulations (GEANT4), and nuclear fragmentation studies for therapy planning. The 15 most recent articles reflect a consistent trajectory in medical applications of accelerators , beam physics , and interdisciplinary research . They span topics from protontherapy clinical outcomes and quality assurance to advanced ion source development and neutrino telescope instrumentation. Keywords such as Medical Physics, Accelerator Physics, and Nuclear Physics recur, with sub-fields including proton therapy, dosimetry, Geant4 simulation, and hadrontherapy technology transfer, highlighting his dual focus on fundamental science and real-world healthcare impact. Scientific awards and recognitions include: Researcher of Excellence, awarded by VINCA Institute and Italian Embassy in Belgrade Selected for the Chair of Medical Physics at the University of Groningen (2017) Selected by INFN for Director of Legnaro National Laboratories (2009) He has supervised numerous PhD and research students indirectly through INFN-LNS projects and collaborations, though specific names are not listed. He has led major grants including PON Km3NeT-Italia (€21M), EMSO-Medit (€4M), IDMAR (€40M), and ELIMED (€2.4M), demonstrating exceptional grant leadership. His work in technology transfer has resulted in commercial prototypes with companies like IBA, CAEN, and Detector, particularly in dosimetry and quality assurance systems. Giacomo Cuttone leads or has led several major research teams and laboratories, including the CATANA protontherapy facility, the GEANT4-INFN collaboration, and the interdisciplinary marine lab IDMAR. He coordinated the MAESTRO European network and currently chairs the Sicilian regional table on protontherapy. As former Director of INFN-LNS (2011–2018), he significantly expanded the lab’s scientific, economic, and social impact, positioning it as a strategic research infrastructure in Italy.

• Naval Engineering
• Marine Propulsion
• Hybrid Propulsion Systems
• +6 more

Raphael Zaccone serves as an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering at the University of Genoa, where he is an active member of the department board. He teaches core courses including Military Ships (NAVI MILITARI), Naval Propulsion (PROPULSIONE NAVALE), and Naval Plants (IMPIANTI NAVALI) for the Naval Engineering degree program, as well as Ship Plants and System Safety for Maritime Science and Technology students. His research centers on sustainable maritime innovation, with primary focus areas in hybrid propulsion systems, alternative fuels (particularly methanol conversions), ship safety protocols, and autonomous navigation technologies. Key specialties include energy management strategies for reducing environmental impact, structural solutions for yacht refits, and collision avoidance algorithms compliant with international maritime regulations. His work bridges theoretical modeling with practical engineering applications to address critical challenges in modern naval architecture. Recent publications (2023-2025) reveal a pronounced trend toward maritime cybersecurity and AI-driven safety systems, with significant emphasis on LiDAR-based situational awareness, battery storage optimization for naval vessels, and evaluation frameworks for alternative marine fuels. Approximately 40% of his current work addresses autonomous ship navigation challenges, while 30% focuses on decarbonization through methanol propulsion and waste heat recovery systems, demonstrating strategic alignment with global maritime sustainability initiatives.

Andrea D'AmbrogioView profile

Associate Professor

• Software and Systems Engineering
• Systems and Software Performance Engineering
• Model-Driven Systems Engineering
• +3 more

Prof. Andrea D'Ambrogio is an Associate Professor of Software and Systems Engineering at the Department of Enterprise Engineering, University of Roma 'Tor Vergata' (Italy). He previously held roles such as Assistant Professor of Computer Science and Research Associate at the same university, and contributed to projects in Europe and internationally. His research focuses on software/systems performance, model-driven engineering, business process management, and distributed simulation. He has led over 20 international conferences and initiated workshops like CoMetS and Mod4Sim. He currently serves as President of the Society for Modeling & Simulation International (SCS), and is a member of IEEE, ACM, and INCOSE. Research Contributions: Prof. D'Ambrogio has authored over 150 publications in journals and conferences. His work emphasizes simulation engineering processes, MSaaS (Modeling & Simulation as a Service), and the integration of IoT with business processes. Recent studies address distributed simulation interoperability, pandemic impact analysis on healthcare systems, and low-code simulation frameworks. Leadership & Editorial Roles: He has served as General Chair for major events like SpringSim'19 and SummerSim'18. He is an Associate Editor of the SIMULATION journal and editorial board member of IAENG International Journal of Computer Science. His leadership in SCS advances global standards in modeling and simulation practices. Teaching: Teaches courses such as Service-Oriented Software Engineering, Software Systems, and Internet-Based Distributed Simulation. His academic contributions span both theoretical advancements and practical applications in enterprise systems engineering.