Lucas Omar Muller is an Associate Professor in the Department of Mathematics at the University of Trento. His expertise spans Biomedical Engineering, Cardiovascular Mathematics, Numerical Analysis, and High-Performance Computing. He holds an office at Via Sommarive, 14 - 38123 Povo, and can be reached via tel. 0461 285222. His teaching responsibilities include courses such as Analisi numerica I/II , Biomedical Applications of Mathematics , and Computational Haemodynamics . He also teaches Fisiologia applicata al letto del paziente and Strumenti informatici per la matematica . Research interests focus on mathematical modeling in biomedical contexts, numerical methods for PDEs, and computational techniques for parallel systems. While no specific publications are listed here, his work likely intersects with cardiovascular modeling, neural network applications, and high-performance computing frameworks. No scientific awards, grants, or advised students are explicitly mentioned in the provided data.
Erica Lenticchia is a Fixed-term Assistant Professor and researcher in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin. She is a member of the Interdepartmental Center R3C – Responsible Risk Resilience Center, contributing to research and teaching in civil and structural engineering with a focus on architectural and cultural heritage. Her academic appointments are within the College of Architecture and Design, where she collaborates across multiple degree programs. Research Interests: Structural Health Monitoring Seismic Risk Assessment of Cultural Heritage Durability of Cementitious and Historical Materials Dynamic Identification and Structural Dynamics Resilience and Vulnerability Assessment of Historical Centers Digital Twin Applications in Heritage Management Her recent publications reflect a strong trend in experimental and computational structural assessment, particularly on ferrocement durability, model updating techniques, and seismic resilience of built heritage. These works span high-impact journals and international conferences, showcasing interdisciplinary collaboration and innovation. Scientific Awards and Intellectual Contributions: Co-inventor of the national and international patent CAMELOT (Structural Model Corroboration Toolbox) Co-developer of associated software for structural model validation Teaching and Supervision: Erica Lenticchia actively contributes to teaching in both undergraduate and graduate programs, including: PhD Course: Seismic Risk of Cultural Heritage Master’s Courses: Design and Optimization of Shells and Spatial Structures, Integrated Restoration and Conservation, Adaptive Reuse of the Built Legacy Bachelor’s Courses: Construction Techniques, Atelier Design-Build, Construction Workshop E She serves as a PhD supervisor for Gerardo Sorrentino in the Civil and Environmental Engineering program. Her educational roles span architecture, civil engineering, and sustainability-focused curricula, emphasizing interdisciplinary integration. Research Projects: DiTHiCe (2025–2027): Digital Twin Development for Resilient Management of Minor Historical Centres – Project Manager CAMELOT - PoC Transition (2023–2024): PRIN-funded research – Member of Research Group Commercial Project on Mont Blanc Tunnel Wall Verification (2024–2025): Scientific Manager These projects highlight her leadership in both competitive and applied research domains.
Fabio Vicini is a Fixed-term tenure-track Assistant Professor at the Department of Mathematical Sciences (DISMA), Politecnico di Torino. He is affiliated with the Numerical Analysis and Scientific Computing research group and contributes to the College of Civil and Building Engineering and the College of Mathematical Engineering. His work bridges theoretical numerical methods and high-performance computing applications. Research Interests: His primary research areas include Adaptive Finite Element Methods, Virtual Element Methods (VEM), Computational Fluid Dynamics (CFD), Parallel Computing, Reduced Order Modeling, and High-Performance Solvers for Partial Differential Equations in complex geometries. His work emphasizes algorithmic robustness, efficiency, and scalability in scientific simulations. Recent Publication Trends: His latest articles (2024–2025) focus on advancing the Virtual Element Method—particularly in 3D adaptive settings, stabilization-free error bounds, mesh optimization, and performance on poorly shaped elements. Additional work involves nonlinear optimization for material simulation and extended finite elements for coupled 3D–1D problems, reflecting a strong trend in numerical analysis and computational mathematics. Scientific Awards: Communicating Research to the Citizens (Politecnico di Torino, 01-07-2025) Effective Communication with Businesses (Politecnico di Torino, 01-07-2025) Advising and Teaching: He supervises two PhD students—Lorenzo Neva and Karol Lizeth Cascavita Mellado—in the Mathematical Sciences program. He teaches core courses such as High-Performance Scientific Computing I & II, Model Order Reduction and Machine Learning, and Programming and Scientific Computing across multiple engineering programs including Aerospace, Automotive, and Mathematical Engineering. Labs and Research Groups: He is an active member of the Numerical Analysis and Scientific Computing research group at DISMA, focusing on the development and analysis of numerical schemes for large-scale and complex-domain physical simulations.
Luciano Tarricone is a Full Professor of Electromagnetic Fields in the Department of Innovation Engineering at the University of Salento, Italy. He teaches core courses such as Electromagnetic Fields for the Bachelor's in Information Engineering and Applied Electromagnetics for the Master's in Communication Engineering and Electronic Technologies. His office is located at the Ecotekne Center, Pal. O, Lecce-Monteroni. He has been actively involved in academic and research activities at the university since 2001. His research focuses on the interaction between electromagnetic fields and biological systems, numerical dosimetry using parallel FDTD methods, innovative radiopropagation modeling, optimization of radio base station networks, CAD of antennas and microwave circuits, and supercomputing applications in electromagnetics. He coordinates the Electromagnetic Fields research group and has led multiple industrial and fundamental research projects. His expertise spans both theoretical and applied aspects of electromagnetics, with strong interdisciplinary connections to biomedical engineering and telecommunications. The recent publications and teaching materials reflect a consistent focus on bioelectromagnetics, EM safety, wireless technologies (including RFID and IoT), radar systems, and computational methods. His work integrates theoretical modeling, numerical simulation, and practical applications in health, telecommunications, and environmental monitoring. Full Professor of Electromagnetic Fields (ING-INF/02) Chair of Electromagnetic Fields Coordinator, Electromagnetic Fields Research Group Member of various academic committees at department and faculty levels Luciano Tarricone has not received any explicitly mentioned scientific awards in the provided text. However, his leadership in research projects and extensive teaching responsibilities indicate significant academic recognition. He advises students through project-based learning in his Applied Electromagnetics course, where students develop and present practical projects. Although specific grant details are not listed, he has coordinated several basic and industrial research projects. His research group is active in multiple domains, particularly bioEM interaction, human-antenna dosimetry, and computational electromagnetics, with potential collaborations in biomedical and telecommunications sectors.
Nicola Ferro is a Researcher in the Department of Molecular Sciences and Nanosystems at Ca' Foscari University of Venice, specializing in numerical analysis and computational mathematics. He actively contributes to teaching and research, with a strong focus on numerical methods for PDEs, optimization, and mesh adaptation. His research interests lie at the intersection of applied mathematics and engineering, particularly in numerical methods for partial differential equations , topology optimization , mesh adaptation , and their applications in biomedical engineering , solid mechanics , and sustainable technologies . His work bridges theoretical developments with real-world applications in medical devices and environmental monitoring. The recent publications highlight a consistent trend in computational modeling, particularly in developing advanced numerical techniques for biomedical applications (e.g., vascular stents) and data-efficient simulation (e.g., mesh adaptation and data compression). His research integrates high-performance computing with multiphysics modeling to solve complex engineering challenges. Editor’s Choice (2024) for a paper in Mathematical and Computational Applications PhD Olympiad Winner (2021) – ECCOMAS Congress Research Scholarship (2021) – Istituto Nazionale di Alta Matematica (INdAM) Research Scholarship (2020) – Fondazione Fratelli Confalonieri Premio Cercignani (2016) – Best Master's Thesis in Computational Science and Engineering, Politecnico di Milano Nicola Ferro has secured multiple research grants, including as Principal Investigator in GNCS INdAM projects (2023, 2025) and the Finanziamento Giovani Ricercatori (2019). He is involved in national projects such as PRIN P2022JLNPJ (RESET) and PRIN 20204LN5N5, and collaborates with industry partners like Thales Alenia Space Italia. He mentors students and contributes to academic service as a guest editor and reviewer for top journals. He is part of a vibrant research group focused on computational mathematics and numerical methods, collaborating closely with researchers such as Simona Perotto, Umberto Morbiducci, and Claudio Chiastra. His work is embedded in interdisciplinary teams tackling challenges in biomedical engineering and sustainable technology development.
Eric Medvet is an Associate Professor of Computer Engineering at the Department of Engineering and Architecture (DIA), University of Trieste, Italy. He leads the Evolutionary Robotics and Artificial Life Lab and co-leads the Machine Learning Lab. His research focuses on Evolutionary Computation, Machine Learning, and their applications to robotics, including Grammatical Evolution, Genetic Programming, and soft robotics. He received the Google Faculty Research Award 2019 for a project on modular soft robots and co-authored a best paper at EuroGP 2024. His recent work emphasizes interpretable control policies, quality-diversity optimization, and evolutionary learning of formal specifications. Medvet teaches advanced courses on machine learning, evolutionary robotics, and programming, consistently updating curricula to reflect cutting-edge research. His labs are hubs for interdisciplinary projects, blending theory with practical implementations in robotics and AI. Research Interests: Medvet’s research spans evolutionary algorithms applied to robotics, with a focus on modular systems. He explores how genetic programming and grammatical evolution can optimize robotic designs and controllers. His work on ‘totipotent neural controllers’ and ‘body-brain co-evolution’ exemplifies efforts to create adaptable, specialized robots. He also investigates formal methods (e.g., STL specifications) for system validation and interpretable AI models. Recent trends in his publications reflect a shift toward practical applications, such as wearable movement analysis and sim-to-real transfer in robotics. Awards: Google Faculty Research Award 2019, EuroGP 2024 Best Paper Award Labs: Evolutionary Robotics and Artificial Life Lab, Machine Learning Lab Teaching: Courses include Advanced Programming, Introduction to Machine Learning, and Evolutionary Robotics, with a focus on Java and practical software development. Medvet’s approach integrates theoretical rigor with hands-on experimentation, emphasizing open-source tools like JGEA and 2D-VSR-Sim. His work bridges computational intelligence and real-world robotics challenges, driving innovation in both fields.
Immaculate Oliva is an Associate Professor at the Department of Methods and Models for Economy, Territory and Finance within Sapienza University of Rome's Faculty of Economics. She teaches Quantitative Finance, Methods and Models for Finance, and Financial Mathematics courses for undergraduate and graduate programs in Finance and Economics. Her office hours are held weekly on Mondays from 14:30 to 16:30, available both in-person and remotely via scheduled appointments. Her research specializes in mathematical finance with focus areas including: Optimal portfolio allocation in continuous-time models Derivative valuation and structured products design Counterparty credit risk management frameworks Portfolio insurance strategies (CPPI/TIPP) Stochastic processes with jumps and co-jumps Actuarial solutions for longevity risk Recent publications (2020-2025) demonstrate strong focus on portfolio insurance mechanisms, derivatives pricing under jump diffusion models, counterparty risk quantification, and computational methods for financial equations. Her work frequently combines theoretical rigor with practical applications in energy markets, pension systems, and cryptocurrency trading. She coordinates research projects including: Facing emerging risks: an actuarial perspective Actuarial and financial risk management solutions in a pandemic mortality framework and supervises thesis students through structured guidance documented in her Vademecum.
Simona Ester Rombo is a Full Professor in the Department of Mathematics and Computer Science at Università degli Studi di Palermo (UNIPA), Italy. Her research spans computational biology, bioinformatics, network analysis, and big data approaches applied to biological and social systems. Her primary research interests include: Bioinformatics and computational genomics, particularly focusing on lncRNA-disease associations and RNA editing Network analysis and graph algorithms for biological and social networks Development of software tools for large-scale data analysis in biology Machine learning applications in drug discovery and repurposing Big data approaches for genomic sequence analysis and social network analysis Professor Rombo's publications demonstrate a strong focus on developing computational methods for biological network analysis, with particular emphasis on protein-protein interaction networks, molecular interaction networks, and lncRNA-disease association prediction. Her work bridges computer science and biology, creating practical tools and algorithms that address real biological challenges. Her scientific contributions include: Development of DIAMIN, a software library for distributed analysis of molecular interaction networks Creation of FEDRO, a tool for discovering candidate ORFs in plants with RNA editing Research on topological properties of biological networks and their functional implications Applications of network analysis to drug discovery and repurposing Professor Rombo actively teaches courses related to big data management and software engineering, mentoring students in computer science and artificial intelligence programs. Her office is located at Via Archirafi 34, Floor 2, Room 220 at UNIPA, with office hours on Mondays from 9:30 to 13:30.
Chiara Lasagni is a Researcher at the Department of Engineering and Architecture, University of Parma, where she is actively engaged in research and teaching in the field of Communication Engineering. She teaches the course Network Performance in the Second Cycle Degree in Communication Engineering for academic years 2023/2024, 2024/2025, and 2025/2026, and previously served as a tutor for the First Cycle Degree in Computer Technologies Engineering in 2021/2022. Her research focuses on advanced optical communication systems, particularly in the areas of spatial division multiplexing (SDM), nonlinear interference modeling, mode dispersion effects, and machine learning applications for optical network optimization. Her work contributes to improving the performance and capacity of high-speed optical transmission systems, including submarine links. The recent publications highlight a strong trend in modeling and mitigating nonlinear effects in multimode and few-mode optical fibers, with increasing integration of data-driven techniques such as machine learning for low-complexity optimization. Her research bridges theoretical modeling and practical implementation in next-generation optical networks. She has not been publicly associated with any scientific awards or fellowships based on the available information. Chiara Lasagni advises students at the undergraduate level, having served as a teacher tutor, but no graduate advisees are listed. There is no mention of research grants or funding sources in the provided text. She is actively contributing to impactful research in optical communications through collaborations with notable researchers such as Paolo Serena, Alberto Bononi, and Antonio Mecozzi. No specific laboratory or research team name is mentioned, but her work appears to be part of a larger research group focused on optical communications and network performance within the Department of Engineering and Architecture at the University of Parma.
Alessandro Tasora is a Full Professor at the University of Parma in the Department of Industrial Engineering and Department of Engineering and Architecture . He directs the Digital Dynamics Lab and serves as Scientific Director of the Smart Production Lab 4.0 . His work spans theoretical mechanics, robotics, and high-performance computing. Director, Digital Dynamics Lab (2019–present) Scientific Director, Smart Production Lab 4.0 (2017–present) National Scientific Qualification for Full Professor (2016) Honorary Associate, University of Wisconsin-Madison (2009–present) Research focuses on non-smooth multibody dynamics , GPU-accelerated simulation , and industrial robotics . He developed the Chrono::Engine software for multibody physics and HyperOCTANT for NLCP problems. His work addresses granular flows in nuclear reactors, vehicle mobility on deformable terrain, and historical structural analysis. Key article trends include GPU-based HPC for large-scale simulations, cone complementarity in contact dynamics, and isogeometric beam formulations for flexible bodies. Collaborations with Argonne National Laboratory and Fraunhofer ITWM highlight his international impact. Top-SNIP Paper (2017) International CAE Conference Poster Award (2015) Best Paper, Asian Conference on Multibody Dynamics (2010) TOP4 Paper, RAAD Robotics Workshop (2011) He has supervised over 40 theses in automation, tribology, and robotics. Grants include FFABR-MIUR , US Army RIF , and CNR projects . Projects involve seismic protection, autonomous AGVs, and Industry 4.0 consulting.
Elisabetta Manconi is an Associate Professor at the Department of Engineering and Architecture, University of Parma, Italy. She holds a European Doctorate in Sound and Vibration Studies from the University of Southampton and a PhD in Industrial Mechanical Engineering from the University of Parma. Specializing in structural vibrations and wave propagation, her work bridges theoretical and experimental dynamic modeling of mechanical systems. Research Interests Elastic and acoustic wave propagation characterization Dynamic performance of composite materials Waveguides and fluid-structure interaction High-frequency vibration modeling Band-gap formation in periodic structures Scientific Contributions : Her recent publications focus on robotics motion control, vibration attenuation in plates, and NURBS-based path planning, reflecting interdisciplinary applications in mechanical systems and industrial automation. Key collaborators include researchers from the University of Southampton, Aalborg University, and UNESP. Honors & Grants : FFABR research grant (ANVUR/MIUR) Marie Curie EST Fellowship (EU) The Royal Society International Joint Project-2009/R4 Academic Leadership : She supervises PhD theses, serves on doctoral committees, and chairs international conference sessions. Her teaching portfolio includes Mechanical Vibrations, Applied Mechanics, and Industrial Automation across Mechanical and Management Engineering programs.
Flavio SARTORETTO is an Associate Professor in Scientific Computing at Ca' Foscari University of Venice. He holds a Mathematics degree from the University of Padua and has held academic positions at University of Padua (1982-1992) and Sapienza University of Rome (1992-1993) before joining Ca' Foscari in 1993. His research focuses on numerical analysis, computational methods, and interdisciplinary applications including environmental modeling, cognitive processes, and assistive technologies. Key research areas include numerical solutions of PDEs, meshless methods, EEG signal analysis, and e-learning tools for impaired individuals. He has participated in major research projects such as EC Network (1992-1995), PRIN initiatives (1997-2010), and contributed to software development for geomechanical models and air quality systems. His work spans computational fluid dynamics, robotics applications, and cognitive studies. Recent publications highlight advancements in mesh refinement strategies, robotic assistive devices, and spatial cognition research. He has reviewed for prestigious journals and served in academic committees for state examinations and international conferences. He maintains active involvement in academic service, including roles in evaluation committees and contributions to professional societies like SIAM and CICAP.
Claudio SILVESTRI is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He specializes in Computer Science (INFO-01/A), with a focus on data mining, privacy in location-based services, and spatio-temporal data analysis. His research integrates computer science with environmental and biomedical applications. Teaching Responsibilities include courses on Advanced Data Management (Computer Science) and Geographic Information Systems (Environmental Sciences) at the Master's level across multiple academic years. Research Interests span: Algorithms for privacy protection in location-based services Spatio-Temporal Data Warehouses and trajectory analysis Parallel computing on GPU and cloud platforms Applications in fisheries monitoring and diabetic kidney disease modeling Funding Projects include EU initiatives like H2020 (e.g., DC-ren for kidney disease research) and regional grants (e.g., ADMIN4D on Industry 4.0). Key collaborations involve researchers like Salvatore ORLANDO and Debora SLANZI. He is affiliated with the European Center for Living Technology (ECLT) and the Research Institute for Social Innovation. Office hours are held Wednesdays 2-4 PM by email appointment.
Marco Salvatore NOBILE is an Associate Professor at Ca' Foscari University of Venice in the Department of Environmental Sciences, Computer Science and Statistics. He serves as Rector's Delegate for Digital Innovation and Research Integrity. His academic journey includes a PhD in Computer Science from the University of Milano-Bicocca (2015), postdoctoral research there, and a position as Assistant Professor at Eindhoven University of Technology (2019) before joining Ca' Foscari in 2021. Research focuses on applying Computational Intelligence (e.g., evolutionary algorithms, neural networks) to biomedical challenges, including drug discovery, clinical decision support, and ethical AI in medicine. Key areas include medical image analysis, proteomics, and high-performance computing leveraging GPU clusters. He collaborates with institutions like CINECA and surfSARA. Teaching responsibilities include courses on Computational Intelligence for Computer Science, Digital Technologies for E-Tourism, and Informatics for Physical Engineering. He also supervises doctoral students and leads the PhD course "Knowledge, Interaction and Intelligent Systems-1". Awards: IEEE CIBCB Best Paper (2019/2022), Shark Tank Award (CMR2024), SIC Best Abstract (2022) Grants: Leading the PNRR-funded ALLIANCE project (2024-2025) on nucleic acid-based therapeutics Labs/Teams: Member of Bicocca Bioinformatics Center (B4), IEEE BBTC Co-Chair, COST Action DYNALIFE
Giuseppe Lacidogna is Associate Professor in Structural Mechanics at the Department of Structural, Building and Geotechnical Engineering (DISEG), Politecnico di Torino, Italy. He leads the Fracture Mechanics Laboratory and is a key researcher in structural health monitoring and damage diagnosis. He holds a PhD in Structural Engineering from Politecnico di Torino (1994) and graduated cum laude in Architecture (1985). He achieved National Academic Qualification as Full Professor in 2018 and is Fellow of the European Academy of Sciences. He serves on the Academic Board of the Doctorate in Civil and Environmental Engineering and previously directed the Structural Engineering Doctorate (2016–2018). Research Interests: Acoustic emission for damage identification in concrete, masonry, and rocks Cracking evolution in masonry arch bridges Creep and long-term behavior of concrete Fracture mechanics and modeling (FEM, DEM) Seismic precursors and critical phenomena Mechanics of macromolecular and protein structures Static and dynamic analysis of high-rise buildings His recent research, reflected in publications from 2022 to 2025, emphasizes acoustic emission monitoring of historical and modern structures (e.g., Garisenda Tower), fracture in 3D-printed geopolymers, self-healing materials, and multiscale modeling of seismic events. His work bridges civil engineering, materials science, and computational mechanics. Scientific Awards and Recognitions: Fellow, European Academy of Sciences (2018) Certificate Merit Award, European Society for Experimental Mechanics (EuraSEM, 2018) Best Paper Award, Conference on Structural Faults + Repair (2008) Top Italian Scientist, Engineering-Mechanics Area (2021) He actively supervises PhD students and has secured competitive and commercial research funding, including the GREENER project (PNRR) and long-term monitoring of the Garisenda Tower. He serves on editorial boards of journals such as SCI , Construction and Building Materials , and Applied Sciences , and is a member of professional societies including AIMETA, RILEM, SEM, and CTBUH. His research integrates experimental and numerical methods to address challenges in infrastructure safety and sustainability. Laboratories and Research Teams: Fracture Mechanics Laboratory (DISEG), Politecnico di Torino Principal Investigator in multiple national and international research collaborations Leader of the SISCON Interdepartmental Center component on Safety of Infrastructures and Constructions
