Calcolo ad Alte Prestazioni per la Ricerca e l’Innovazione
PAPERS & PROJECTS
2025
Bottazzi Baldi,B; Yousry Elkhashab,M. ; Bertacca, D. ; Porciani,C.; The impact of our peculiar motion on primordial non-Gaussianity measurements using the LIGER4GAL framework, astro-ph.CO https://doi.org/10.48550/arXiv.2512.03824
Dei Cas D, Di Camillo B, Fadini GP, Sparacino G, Longato E. The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes. Comput Methods Programs Biomed. 2025 Aug;268:108812. doi: 10.1016/j.cmpb.2025.108812. Epub 2025 May 12. PMID: 40382871.
Lee Y, Seo J, Di Camillo B.SHAP-based binarization enhances metataxonomic machine learning with application to gut microbiota of inflammatory bowel disease. Sci Rep. 2025 Nov 7;15(1):39059. doi: 10.1038/s41598-025-24802-1. PMID: 41203701; PMCID: PMC12594890.
Longhin F, Baruzzo G, Hazizaj E, Boscarino D, Paladin D, Di Camillo B. MOV&RSim: computational modelling of cancer-specific variants and sequencing reads characteristics for realistic tumoral sample simulation. BMC Bioinformatics. 2025 Nov 27;26(1):287. doi: 10.1186/s12859-025-06292-0. PMID: 41310436; PMCID: PMC12659228.
Cesaro G, Baruzzo G, Tussardi G, Di Camillo B. Differential cellular communication inference framework for large-scale single-cell RNA-sequencing data. NAR Genom Bioinform. 2025 Jun 19;7(2):lqaf084. doi: 10.1093/nargab/lqaf084. PMID: 40585304; PMCID: PMC12204404.
G. Baruzzo, G. Cesaro and B. D. Camillo, quickSparseM: a library for memory- and time-efficient computation on large, sparse matrices with application to omics data,2025 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), Turin, Italy, 2025, pp. 275-282, doi: 10.1109/PDP66500.2025.00045.
Rosani U, Gerdol M, Krupovic M. The highly dynamic pangenome of basal chordates is enriched in defence and immunity genes and is inherited following the Mendelian law. PLoS Genet. 2025; 21(8):e1011833. doi: 10.1371/journal.pgen.1011833
Bortoletto E, Frizzo F, Venier P, Rosani R.srahunter: a user-friendly tool to speed up and simplify data downloading from NCBI SRA. bioRxiv 2024 (revised preprint available online in 2025); doi: 10.1101/2024.03.19.585745
Baldoin E, Zullo G, Carraretto P, Koptyug A, Pavan PG, Petrone N. Development of a coupled experimental–numerical methodology using an instrumented human head replica for impact testing. Sports Eng. 2025;28:38
Milan G, Mareninova OA, Fantuz M, Spacci M, Paoli C, Pineda JA, Noè R, Calciolari B, Zoncu R, Gukovskaya AS, Carrer A, Reprogramming of cholesterol sensing in epithelial cells supports pancreatic inflammation, Mol Metab, 2025
Magrini, A., Benini,E.Optimising blade profiles to extend the operating range in BLI fan application. Submitted to Int. J. Turbomach. Propuls. Power 2025. Under revision.
Giovanna Cavazzini, Marco Carraro, Giacomo Zanetti, Francesco Nascimben, Francesco De Vanna, Monica Siviero, Alberto BenatoAnalysis of hidden hydropower potential in municipal networks: the H-HOPE energy harvester, ECOS 2025 – the 38rd International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, 2025
2024
Magrini, A; Subbian, G; Radespiel, R; Benini, E.; Powered turbofan effects on aircraft aerodynamics at high-lift: A study on the NASA CRM-HL, Aerospace Science and Technology, 2024, 144, 108825, https://doi.org/10.1016/j.ast.2023.108825
L. Vecchiato, M. Negri, G. Picci, L. Viale, G. Zaltron, S. Giacometti and G. MeneghettiDesign and development of a brake test bench for FSAE race cars MDPI Machines, 12, 135, 2024, doi.org/10.3390/machines12020135.
L. Vecchiato, F. Capraro, G. Meneghetti Design, topology optimization, manufacturing and testing of a brake caliper made of Scalmalloy® for Formula SAE race cars MDPI Vehicles, 6, 2024 pp. 1591–1612. https://doi.org/10.3390/vehicles6030075
Zampieri C. A multi-model framework to inform the conservation of Chondrichthyes and explore the ecological impacts of their restoration in the Mediterranean Sea. PhD Thesis in Biosciences, University of Padova, 2024; Under review.
Vallini L, Zampieri C, Shoaee MJ, Bortolini E, Marciani G, Aneli S, Pievani T, Benazzi S, Barausse A, Mezzavilla M, Petraglia MD, Pagani L. The Persian Plateau served as Hub for Homo sapiens after the main Out of Africa dispersal. Nat Commun. 2024; accepted in principle.
Vallini, L., Zampieri, C., Shoaee, M.J. et al. The Persian plateau served as hub for Homo sapiens after the main out of Africa dispersal. Nat Commun 15, 1882 (2024). https://doi.org/10.1038/s41467-024-46161-7
Vito Coviello, Denis Badocco, Paolo Pastore, Martina Fracchia, Paolo Ghigna, Alessandro Martucci, Daniel Forrer & Vincenzo Amendola; Accurate prediction of the optical properties of nanoalloys with both plasmonic and magnetic elements. Nature Communications 15, 834 (2024). https://doi.org/10.1038/s41467-024-45137-x
Nasim M, Spadoni S, Pavan PG, Brasco V, Galvanetto U. Helmets with lattice liners can mitigate traumatic brain injury from impacts. J Biomech. 2024 Nov;176:112362. doi: 10.1016/j.jbiomech.2024.112362. Epub 2024 Oct 5. PMID: 39383689.
Gupta K, Spadoni S, Pavan PG, Galvanetto U, Evaluation of the effects of head morphology on the strain of brain tissue induced by impacts. Comput Methods Programs Biomed (submitted).
Baquero-Pérez B, Bortoletto E, Rosani U, Delgado-Tejedor A, Medina R, Novoa EM, Venier P, Díez J. (2024) Elucidation of the epitranscriptomic RNA modification landscape of chikungunya virus. Viruses 16:945. doi: 10.3390/v16060945
Bortoletto E, Rosani U, Sakaguchi A, Yoon J, Nagasawa K, Venier P. (2024) Insights into ADAR gene complement, expression patterns, and RNA editing landscape in Chlamys farreri. Fish Shellfish Immunol. 151:1097432024. doi: 10.1016/j.fsi.2024.109743
Rosani U, Bortoletto E, Zhang X, Huang BW, Xin LS, Krupovic M, Bai CM.(2024) Long-read transcriptomics of Ostreid herpesvirus 1 uncovers a conserved expression strategy for the capsid maturation module and pinpoints a mechanism for evasion of the ADAR-based antiviral defence. Virus Evol. 17:10(1):veae088. doi: 10.1093/ve/veae088.
Guazzo A, Atzeni M, Idi E, Trescato I, Tavazzi E, Longato E, Manera U, Chió A, Gromicho M, Alves I, de Carvalho M, Vettoretti M, Di Camillo B. Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study. BMC Med Inform Decis Mak. 2024 Oct 29;24(Suppl 4):318. doi: 10.1186/s12911-024-02719-5.
Roversi C, Tavazzi E, Vettoretti M, Di Camillo B. A dynamic probabilistic model of the onset and interaction of cardio-metabolic comorbidities on an ageing adult population. Sci Rep. 2024 May 20;14(1):11514. doi: 10.1038/s41598-024-61135-x. PMID: 38769364; PMCID: PMC11106085.
D. Revignas, A. Ferrarini Molecular shape, elastic constants and spontaneous twist in chiral and achiral nematics: insights from a generalised Maier–Saupe framework. Liq. Crystals, 51 898–918 (2024)
Padovan, M., Foletto, G., Coccia, L. et al.Secure and robust randomness with sequential quantum measurements. npj Quantum Inf10, 94 (2024). https://doi.org/10.1038/s41534-024-00879-w
Cecilia Laterza, Elisa Cesare, Hannah T. Stuart, Martina D’Ercole, Alessia Gesualdo, Maria Grazia La Barbera, Sara Brignani, Carmela Ribecco, Roberta Polli, Roberta Frison, Silvia Angiolillo, Andrea Maset, Onelia Gagliano, Davide Cacchiarelli, James Briscoe, Elly M. Tanaka, Alessandra Murgia, Nicola Elvassore From naïve pluripotency to human neural organoids through a three-dimensional morphogenetic continuum 2024 https://www.biorxiv.org/content/10.1101/2024.11.14.623407v1
Revignas D, Ferrarini A., Spontaneous twisting of achiral hard rod nematics, Phys. Rev. Lett. 2023; 130:028102
Andrea Franceschini, Laura Gazzola, Massiliano Ferronato, A scalable preconditioning framework for stabilized contact mechanics with hydraulically active fractures. JC
Andrea Franceschini, Claudia Zoccarato, Selena Baldan, Matteo Frigo, Massimiliano Ferronato, Carlo Janna, Giovanni Isotton, Pietro Teatini, Unexpected fault activation in underground gas storage. Part I: Mathematical model and mechanisms, submitted to JCP.
Selena Baldan, Massimiliano Ferronato, Andrea Franceschini, Carlo Janna, Claudia Zoccarato, Matteo Frigo, Giovanni Isotton, Cristiano Collettini, Vera Rocca, Francesca Verga, Pietro Teatini, Unexpected fault activation in underground gas storage. Part II: Definition of safe operational bandwidths. In preparation.
Tavazzi E, Gatta R, Vallati M, Cotti Piccinelli S, Filosto M, Padovani A, Castellano M, Di Camillo B. Leveraging process mining for modeling progression trajectories in amyotrophic lateral sclerosis. BMC Med Inform Decis Mak. 2023 Feb 2;22(Suppl 6):346. doi: 10.1186/s12911-023-02113-7. PMID: 36732801; PMCID: PMC9896660.
Guazzo A, Longato E, Fadini GP, Morieri ML, Sparacino G, Di Camillo B. Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits’ text. Sci Rep. 2023 Nov 5;13(1):19132. doi: 10.1038/s41598-023-45115-1. PMID: 37926737; PMCID: PMC10625981.
Guazzo A, Longato E, Fadini GP, Morieri ML, Sparacino G, Di Camillo B. Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits’ text. Sci Rep. 2023 Nov 5;13(1):19132. doi: 10.1038/s41598-023-45115-1. PMID: 37926737; PMCID: PMC10625981.
Panariello F, Gagliano O, Luni C, Grimaldi A, Angiolillo S, Qin W, Manfredi A, Annunziata P, Slovin S, Vaccaro L, Riccardo S, Bouche V, Dionisi M, Salvi M, Martewicz S, Hu M, Cui M, Stuart H, Laterza C, Baruzzo G, Schiebinger G, Di Camillo B, Cacchiarelli D, Elvassore N. Cellular population dynamics shape the route to human pluripotency. Nat Commun. 2023 May 17;14(1):2829. doi: 10.1038/s41467-023-37270-w. PMID: 37198156; PMCID: PMC10192362.
Baruzzo G, Serafini A, Finotello F, Sanavia T, Cioetto-Mazzabò L, Boldrin F, Lavezzo E, Barzon L, Toppo S, Provvedi R, Manganelli R, Di Camillo B. Role of the Extracytoplasmic Function Sigma Factor SigE in the Stringent Response of Mycobacterium tuberculosis. Microbiol Spectr. 2023 Mar 22;11(2):e0294422. doi: 10.1128/spectrum.02944-22. Epub ahead of print. PMID: 36946740; PMCID: PMC10100808.
Lamzouri Y, Languasco A. Small Values of |L’/L(1,χ)|. Experimental Mathematics 2023; 32(2):362-377. DOI: 10.1080/10586458.2021.1927255
Francesco De Vanna, Alberto Benato, Giovanna Cavazzini. Preliminary design gui- delines for a vortex-based energy harvester for water flows, ECOS 2023 – the 36rd Inter- national Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, 2023, https://doi.org/10.52202/069564-0052
Magrini, A.; Buosi, D.; Poltronieri, F.; De Leo, E.; Benini, E. CFD-Based Analysis of Installed Fuel Consumption and Aerodynamics of Transonic Transport Aircraft during Cruise Flight. Energies 2023, 16, 3323. https://doi.org/10.3390/en16083323
Ferrarini A, Revignas D. Spontaneous twisting of achiral hard rod nematics. Phys. Rev. Lett. 2023; 130:028102
Ferrarini A, Revignas D. On the elusive saddle–splay and splay–bend elastic constants of nematic liquid crystals. J. Chem. Phys. 2023; 159:034905
Casoni, M, Benini, E, & Magrini, A. “Development of a Reduced Order Model Based on Aerodynamic Influence Coefficients to Simulate Aeroelastic Phenomena in Axial Compressor Blades.” Proceedings of the ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. Volume 11A Boston, Massachusetts, USA. June 26–30, 2023. ASME. https://doi.org/10.1115/GT2023-101894
Padovan, M., Foletto, G., Coccia, L., Avesani, M., Villoresi, P., & Vallone, G. (2023). Geometry of sequential quantum correlations and robust randomness certification. arXiv preprint arXiv:2309.12286.
Bertapelle, T., Avesani, M., Santamato, A., Montanaro, A., Chiesa, M., Rotta, D., … & Villoresi, P. (2023). High-speed Source-Device-Independent Quantum Random Number Generator on a chip. arXiv preprint arXiv:2305.12472.
Baldoin, E., Zullo, G., Koptyug, A., & Petrone, N. (2023). The role of additive manufacturing in the development of a biofidelic Instrumented Human Head Surrogate for impact tests. Transactions on Additive Manufacturing Meets Medicine, 5(1), 831. https://doi.org/10.18416/AMMM.2023.2309831
D Shenaj, F Barbato, U Michieli, P Zanuttigh, Continual coarse-to-fine domain adaptation in semantic segmentation, Image and Vision Computing 121, 104426, 2022
Li, Y., Friedman, N., Teatini, P. et al. Sensitivity analysis of factors controlling earth fissures due to excessive groundwater pumping. Stoch Environ Res Risk Assess 36, 3911–3928 (2022). https://doi.org/10.1007/s00477-022-02237-8
Bolzati C., Salvarese N., Spolaore B., Vittadini A., Forrer D., Brunello S., Ghiani S., Maiocchi A., “Water-Soluble [Tc(N)(PNP)] Moiety for Room-Temperature 99mTc Labeling of Sensitive Target Vectors” Mol. Pharmaceutics 2022, 19, 3, 876–894
Agostinis F, Romualdi C, Sales G, Risso D. NewWave: a scalable R/Bioconductor package for the dimensionality reduction and batch effect removal of single-cell RNA-seq data. Bioinformatics. 2022 Apr 28;38(9):2648-2650. doi: 10.1093/bioinformatics/btac149
Pavan PG, Nasim M, Brasco V, Spadoni S, Paoloni F, d’Avella D, Khosroshahi SF, et al. Development of detailed finite element models for in silico analyses of brain impact dynamics. Comput. Meth. Prog. Bio. 2022;227:107225. DOI: https://doi.org/10.1016/j.cmpb.2022.107225
Nasim M, Spadoni S, Pavan PG, Brasco V, Galvanetto U. Helmets with lattice liners can mitigate traumatic brain injury from impacts. Ann. Biomed. Eng. Submitted.
Magrini, A, Buosi D, Benini E Analysis of Ultra-High Bypass Ratio Turbofan Nacelle Geometries With Conventional and Short Intakes at Take-Off and Cruise. Proceedings of the ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. Volume 10C. June 13–17, 2022. Rotterdam, The Netherlands. https://doi.org/10.1115/GT2022-81912
Magrini, A, Buosi D, Benini E Analysis of installation aerodynamics and comparison of optimised configuration of an ultra-high bypass ratio turbofan nacelle. Aerospace Science and Technology. 2022;128. https://doi.org/10.1016/j.ast.2022.107756.
Magrini, A, Buosi D, Benini E Aeropropulsive assessment of engine installation at cruise for UHBPR turbofan with body force fan modelling. Aerospace Science and Technology. 2022;132. https://doi.org/10.1016/j.ast.2022.108048
Cananzi G, Gregori I, Martino F, Tianshi L, Boscari E, Camatti E, et al. Environmental DNA metabarcoding reveals spatial and seasonal patterns in the fish community in the Venice Lagoon. Frontiers Mar. Sci. 2022; 9:1009490;
Franceschini, A., Gazzola, L., Ferronato, M., A scalable preconditioning framework for stabilized contact mechanics with hydraulically active fractures. Journal of Computational Physics, 2022, 463, 111276
Yueting Li, Noemi Friedman, Pietro Teatini et al. Sensitivity Analysis of Factors Controlling Earth Fissures Due To Excessive Groundwater Pumping, 25 January 2022, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-1232687/v1]
Avanzi F, De Vanna F, Ruan Y, Benini E. Enhanced Identification of Coherent Structures in the Flow Evolution of a Pitching Wing. 2022, In: AIAA SCITECH 2022 Forum. American Institute of Aeronautics and Astronautics; DOI: 10.2514/6.2022-0182
Faggioli, G., Zendel, O., Culpepper, J. S., Ferro, N., and Scholer, F. (2022). sMare: a New Paradigm to Evaluate and Understand Query Performance Prediction Methods. Information Retrieval Journal
Baruzzo G, Cesaro G, Di Camillo B. Identify, quantify and characterize cellular communication from single cell RNA sequencing data with scSeqComm. Bioinformatics. 2022 Jan 19:btac036. doi: 10.1093/bioinformatics/btac036.
Insights into the gelation mechanism of metal-coordinated hydrogels by paramagnetic NMR spectroscopy and Molecular Dynamics. V. Gabrielli, R. Baretta, R. Pilot, A. Ferrarini, M. Frasconi. Macromolecules 55, 450 (2022) – DOI: 10.1021/acs.macromol.1c01756
Donald Shenaj,Francesco Barbato, Umberto Michieli, Pietro Zanuttigh, “Continual coarse-to-fine domain adaptation in semantic segmentation”, Elsevier Image and Vision Computing, 2022
Cristina Bolzati, Nicola Salvarese, Barbara Spolaore, Andrea Vittadini, Daniel Forrer, Simona Ghiani, Alessandro Maiocchi; Water-soluble [Tc(N)(PNP)]-moiety for the 99mTc-click-labeling of sensitive target vectors; Manuscript in preparation
Rosani U, Bortoletto E, Montagnani C, Venier P. ADAR-editing during Ostreid herpesvirus 1 infection in Crassostrea gigas: facts and limitations. mSphere 2022;7:e0001122.
Lee Y, Cappellato M, Di Camillo B. Machine learning-based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease. Gigascience. 2022 Dec 28;12:giad083. doi: 10.1093/gigascience/giad083. PMID: 37882604; PMCID: PMC10600917.
Bortoletto Enrico – PhD in Biosciences (2020-2022, 36’ cycle) Thesis title: ADAR-editing in mollusk species: in between physiology and antiviral responses (uploaded on Feb 29, 2024).
2021
Languasco A. Efficient computation of the Euler–Kronecker constants of prime cyclotomic fields. Res. Number Theory 2021; 7:2.https://doi.org/10.1007/s40993-020-00213-1
Dal Monte A., Battiston A., Ponza R., De Vanna F., Picano F., Benini E. Strouhal number effects on pulsating synthetic jet’s entrainment. AIAA Aviation 2021 Forum, August 2-6, 2021.
Simone Di Fede, Mirko Magarotto, Shaun Andrews, Marco Manente, Daniele Pavarin. NUMERICAL SIMULATION OF THE PLUME OF A MAGNETICALLY ENHANCED PLASMA THRUSTER. 2021; 7th Edition of the Space Propulsion Conference
Ferrante, M., Ferro, N., and Fuhr, N. (2021). Towards Meaningful Statements in IR Evaluation. Mapping Evaluation Measures to Interval Scales.CoRR abs/2101.02668
Youness Lamzouri & Alessandro Languasco (2021) Small Values of |L’/L(1,χ)|, Experimental Mathematics, DOI: 10.1080/10586458.2021.1927255
Bortoletto E, Venier P, Shapiro M, Leonardi A, Rosani M. SARS-CoV-2 evasion from ADAR hyper-editing is both genome-encoded and sustained by the virus replication strategy. Research Square preprint DOI:10.21203/RS.3.RS-314516/V1.
Di Fede, S., Magarotto, M., Andrews, S., & Pavarin, D. (2021). Simulation of the plume of a magnetically enhanced plasma thruster with SPIS. Journal of Plasma Physics, 87(6), 905870611. doi:10.1017/S0022377821001057
2020
J. Alterach, S. Canevese, A. Gatti, M. Rapizza, G. Stella, R. Calisti, G. Cavazzini e S. Casarin, Sviluppo di un modello numerico dinamico di pompaggio idroelettrico ibrido e impostazione metodologica per la localizzazione degli impianti, Ricerca di Sistema, RSE, Prot. 20010322, Milano, 2020.
C. Zoccarato, Gazzola, L.; Ferronato, M.; Teatini, P. Generalized Polynomial Chaos Expansion for Fast and Accurate Uncertainty Quantification in Geomechanical Modelling. Algorithms, 13, 156, 2020.
Ferrante, M., Ferro, N., and Losiouk, E. (2020). How do interval scales help us with better understanding IR evaluation measures? Information Retrieval Journal, 23(3):289-317.
2019
Ferro, N., Kim, Y., and Sanderson, M. (2019). Using Collection Shards to Study Retrieval Performance Effect Sizes. ACM Transactions on Information Systems (TOIS), 37(3):30:1-30:40
Ferro, N. and Sanderson, M. (2019). Improving the Accuracy of System Performance Estimation by Using Shards. In Piwowarski, B., Chevalier, M., Gaussier, E., Maarek, Y., Nie, J.-Y., and Scholer, F., editors, Proc. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), pages 805-814. ACM Press, New York, USA
PRIN-PNRR 2022 – “A digital framework for the cutting of soft tissues: A first step towards virtual surgery”, PI V. Diana – UNIGE, unit PI U. Galvanetto – UNIPD.
2021-2024 European Project H2020: “BRAINTEASER: BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis”
Horizon Europe project “Biocean5D”:
C. Zampieri’s PhD project “Ecological modelling of elasmobranch population dynamics and their role in the ecosystems of the Mediterranean Sea” at the University of Padova
M. Barbato’s PhD project “Movement ecology and essential habitat delineation in Mediterranean sharks” at the University of Padova
FSAE Results of the FSAE Project consist in the students’ team participation to the international competition. During the years 2019-2025 the students’ team participated to the following international FSAE competitions (results are also reported): COMBUSTION DIVISION: – Formula SAE Italy 2019 – 2nd place overall – Formula student Germany 2019: 4th place overall – Formula Student Austria 2021: 5th place overall – Formula SAE Italy 2021: 3rd place overall, 1st place skidpad, 1st place autocross, 3rd place business plan presentation – ATA 2021: 3° Overall, 3° BPP, 1° Skidpad, 1° AutoX, 3° Endurance – ATA 2022: 1° BPP, 3° Design, 3° AutoX – ATA 2023: 1° Overall, 1° Cost, 2° BPP, 1° Design, 3° Acc, 1° Skidpad, 1° AutoX, 1° Endurance, 2° Efficiency – EAST 2023: 1° Overall, 1° BPP, 1° Design, 2° Acc, 3° AutoX, 1° Endurance, 2° Efficiency – AUSTRIA 2024: 1° Cost, 2° BPP – ALPE ADRIA 2025: 2° Cost, 2° BPP, 3° Skidpad ELECTRIC DIVISION: – Formula Student Germany 2021: finalist business plan presentation – Formula Student East 2021: finalist business plan presentation – Formula Student Austria 2021: finalist business plan presentation – ATA 2022: 3° BPP, 2° Acc – EAST 2022: 2° Acc – ATA 2023: 4° Overall, 1° Cost, 3° Acc, 4° Design, 4° SkidPad, 4° AutoX – ATA 2025, Electric: 2° Cost, 2° Design, 3° Skidpad – ATA 2025, Driverless: 3° Overall, 1° BPP, 1° Cost, 3° Trackdrive.
FSAE Thesis&Publications
GIOVANNI MENEGHETTI – “La formula SAE: una competizione tra Università per la progettazione di vetture monoposto innovative” (Memoria presentata su invito, nell’adunanza dell’Accademia Galileiana del 15 marzo 2025)
Tesi magistrale di Riccardo Bertipaglia, titolo: “Acquisizione dei carichi aerodinamici agenti sulla vettura formula S.A.E. mg15.20 EVO”. Relatore: Prof. Giovanni Meneghetti, Correlatore: Ing. Davide Cortivo
Tesi triennale di Lorenzo Iori “Sviluppo di un modello CFD per la simulazione di una vettura FSAE in curva”. Relatore: Prof. Francesco Picano, Correlatore: Prof. Giovanni Meneghetti
AIRC Grant, Italian Association for Cancer Research (AIRC): Interrogating metabolic and epigenetic reprogramming in pancreatic cancer initiation (Project ID#: 23029)
Transnational Access (TNA) Projects from EASI Genomics: Dissecting epigenetic and cellular memory of inflammation to improve pancreatic cancer prevention (Project ID#: 15158)
Course “Advanced topics in scientific and parallel programming with practical application to the CAPRI HPC infrastructure” (20 hours, 5 credits), PhD Program in Information Engineering, XXXVIII series – Department of Information Engineering, University of Padova, Padova, Italy
Progetto di dottorato in Bioscienze presso Università di Padova del dott. Carlo Zampieri
Progetto “Progetto Taglia minima di sbarco” coordinato da CONISMA (modellistica dinamica di popolazione selaci)
