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WP3

  1. Eugenia De Remigis , Fehmi M. Dikba¸s , Michele Ibrahimi , Francesco Bianciardi , Elisa L. Petrocelli, Elisa Roberti , Veronica Iacovacci , and Stefano Palagi  2025 Infiltration of Cell-Inspired Ultra-Deformable – Magnetic Microrobots in Restrictive Environments IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS https://doi.org/10.1109/TMRB.2024.3503898 T3.7
  2. Salvatore Falciglia, Laura Caffi, Claudio Baiata, Chiara Palmisano, Ioannis Ugo Isaias & Alberto Mazzoni  2025 Transformer-based long-term predictor of subthalamic beta activity in Parkinson’s disease Nature, npj Parkinson’s Disease  https://doi.org/10.1038/s41531-025-01011-1 T_13
  3. Dimitrios Tsiakmakis, Massimiliano Iosi, Marcello Chiurazzi, Gastone Ciuti 2025 Efficient Transformer-based Model for Human Proximity Detection IEEE Robotics and Automation Letters doi: 10.1109/LRA.2025.3609943 T_13
  4. Buratti S, Tognarelli S, Cafarelli A, Moglia D, Filosa M,  Oddo CM, Menciassi A 2024 Real-Time Spatial Monitoring Using Transparently Integrated Pressure Sensors for Optimized Acoustic Coupling during Robot-Assisted HIFU Surgery” che ha ricevuto il “Best Paper and Presentation Runner-Up CRAS conference 2024   T3.10
  5. Giacomo D’Alesio, Lars Stumpp, Paolo Sciarrone, Alessandro Navari, Francesco Gentile, Chiara Borrelli, Sara Ballanti, Eleonora Degl’Innocenti, Adrian Carrasco, Ana Catarina Costa, Alexandre Andrade, Andrea Mannini, Vaughan G Macefield, Michele Emdin, Claudio Passino, Alberto Mazzoni, Alberto Giannoni, Calogero Maria Oddo 2024 An open computational toolbox to analyze multi- and single- unit sympathetic nerve activity in microneurography Biophysics reviews https://doi.org/10.1063/5.0202385 T3.10
  6. Marian Statache, Mariangela Filosa, Sara Ballanti, Giacomo D’Alesio, Giulia Di Salvo, Domenico Camboni, Calogero Maria Oddo 2024 Neuromorphic Touch Sensors for Pleasantness Encoding via Spike Patterns 2024 IEEE SENSORS 10.1109/SENSORS60989.2024.10784624 T3.23
  7. Marta Bellini, Noemi Fragapane, Giacomo D’Alesio, Sara Ballanti, Stefania Dalise, Calogero M. Oddo, Carmelo Chisari 2024 Microneurography for Neural Encoding of Somatosensory Information: The Path to Future Bidirectional Neuroprostheses for Upper Limb Amputees 52° Congresso Nazionale SIMFER PRM ITALY AWARD /// t3.10
  8. Elaskar J.. Cammarata S.. Samà F.. Di Pasquale F.. Oton C.J. 2024 Integrated High-speed Sub-picometer Wavemeter Based on Silicon Carrier-depletion Modulator Optica Sensing Congress 2024, (Toulouse, France, July 2024) 10.1364/SENSORS.2024.SM3C.2 T3.8
  9. Cammarata, S., Montanaro, A., Sorianello, V., Palla, F., Di Pasquale, F. and Oton, C.J. 2024 Radiation-Hardened Silicon Traveling-Wave Mach-Zehnder Modulator for Beyond 50 Gb/s Readout Links in Particle Detectors 50th European Conference on Optical Communication  (ECOC 2024, Frankfurt, Germany, Sept. 2024) TBD T3.8
  10. Elaskar J.. Cammarata S.. Sama F.. Pasquale F.D.. Oton C.J. 2024 Integrated High-Speed Wavelength Tracking on a Silicon Chip Journal of Lightwave Technology 10.1109/JLT.2024.3517736 T3.8
  11. Eugenia De Remigis , Fehmi M. Dikba¸s , Michele Ibrahimi , Francesco Bianciardi , Elisa L. Petrocelli, Elisa Roberti , Veronica Iacovacci , and Stefano Palagi  2024 Infiltration of Cell-Inspired Ultra-Deformable Magnetic Microrobots in Restrictive Environments IEEE RAS EMBS 10th International Conference on Biomedical Robotics and Biomechatronics, Heidelberg, Germany, Sep. 2024 – T3.7
  12. E. De Remigis, O. Tricinci, Michele Ibrahimi, V. Iacovacci, and S. Palagi 2024 Ultra-deformable magnetic microrobots navigating through obstacles International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS) Delf, The Netherlands, Jul. 02, 2024 – T3.7
  13. Vanessa Mainardi, L. Carletti, D. Tsiakmakis, M. Dal Canto, T. Melillo, S. Noferi, G. Bagnoni, P. Rubegni, Gastone Ciuti: 2024 A non-invasive device for skin cancer diagnosis: first clinical evidence with spectroscopic data enhanced by machine learning algorithms IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024 10.1109/IROS58592.2024.10802772 T3_13
  14. Pagliarani, N., Filosa, M., Ayaz, R. M. A., Oton, C. J., Oddo, C. M., & Cianchetti, M.    Enriching Contact Information Through Fiber Bragg Gratings-Based Exteroception in Soft Bending Actuators.  2024 IEEE 7th International Conference on Soft Robotics (RoboSoft)  https://doi.org/10.1109/RoboSoft60065.2024.10521956 T3.23
  15. Passariello, R., Imparato, G., Casale, C., Urciuolo, F., & Netti, P. A. (2025). An immunocompetent bioengineered human dermal equivalent to recapitulate scar tissue formation in vitro. Acta Biomaterialia.
  16. Galardo, F., Imparato, G., Casale, C., Urciuolo, F., Mannino, L., Federico, A., … & Netti, P. A. (2026). Extracellular Matrix Origin Directs Morphogenesis and Gene Regulation in Bioengineered Human Skin. Advanced Healthcare Materials, e04765
  17. Suglia V., Camardella C., Rinaldi G., Chiaradia D., Buongiorno D., Leonardis D., Zhou H., Frisoli A., Bevilacqua V. “Muscle networks analysis on an active occupational shoulder exoskeleton”. Accepted to be published in: Biomedical Signal Processing and Control.
  18. Marvulli, P. M., Buongiorno, D., Zaccaria, G. M., Brunetti, A., Marino, F., & Bevilacqua, V. (2025). Multimodal framework for TACE treatment response prediction in patients with hepatocellular carcinoma. Computerized Medical Imaging and Graphics, 102679.
    doi: 10.1016/j.compmedimag.2025.102679
  19. Zaccaria, G. M., Altini, N., Mezzolla, G., Vegliante, M. C., Stranieri, M., Pappagallo, S. A., Ciavarella, S., Guarini, A., Bevilacqua, V. Surv IAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data. Computer Methods and Programs in Biomedicine, 2024, 244, p. 107966.
    doi: 10.1016/j.cmpb.2023.107966
  20. Zaccaria, G. M., Berloco, F., Buongiorno, D., Brunetti, A., Altini, N., Bevilacqua, V. A time-dependent explainable radiomic analysis from the multi-omic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma. Computer Methods and Programs in Biomedicine, 2024, p. 108408. doi: 10.1016/j.cmpb.2024.108408
  21. Berloco, F., Zaccaria, G. M., Altini, N., Colucci, S., Bevilacqua, V. A Multimodal Framework for Assessing the Link between Pathomics, Transcriptomics, and Pancreatic Cancer Mutations. Computerized Medical Imaging and Graphics, 2025, p. 102526. doi: 10.1016/j.compmedimag.2025.102526
  22. Zaccaria, G. M., Altini, N., Mongelli, V., Marino, F., Bevilacqua, V. Development and validation of a machine learning prognostic model based on an epigenomic signature in patients with pancreatic ductal adenocarcinoma. International Journal of Medical Informatics, 2025, p. 105883. doi: 10.1016/j.ijmedinf.2025.105883
  23. Suglia, V., Palazzo, L., Bevilacqua, V., Passantino, A., Pagano, G., D’Addio, G. A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors. Sensors, 2024, 24, 2199. doi: 10.3390/s24072199
  24. Palazzo, L., Suglia, V., Grieco, S., Buongiorno, D., Brunetti, A., Carnimeo, L., Amitrano, F., Coccia, A., Pagano, G., D’Addio, G., Bevilacqua, V. A Deep Learning-Based Framework Oriented to Pathological Gait Recognition with Inertial Sensors. Sensors, 2025, 25, 260. doi: 10.3390/s25010260
  25. Altini, N., Lasaracina, E., Galeone, F., Prunella, M., Suglia, V., Carnimeo, L., Triggiani, V., Ranieri, D., Brunetti, G., Bevilacqua, V. A Comparison Between Unimodal and Multimodal Segmentation Models for Deep Brain Structures from T1- and T2-Weighted MRI. Machine Learning and Knowledge Extraction, 2025, 7(3), 84. doi: 10.3390/make7030084
  26. Prunella, M., Altini, N., D’Alessandro, R., Schirizzi, A., Ricci, A. D., Lotesoriere, C., Scarabaggio, P., Carli, R., Dotoli, M., Giannelli, G., Bevilacqua, V. Pharmacometric and Digital Twin modeling for adaptive scheduling of combination therapy in advanced gastric cancer. Computer Methods and Programs in Biomedicine, 2025, 108919.
  27. Prunella, M., Altini, N., D’Alessandro, R., Schirizzi, A., De Leonardis, G., Arborea, G., Savino, M. T., Valentini, A. M., Armentano, R., Ricci, A. D., Lotesoriere, C., Carli, R., Dotoli, M., Giannelli, G., Bevilacqua, V. Automated Pathomic Analysis of Angiogenesis and Immune Profiles Unveils an Interpretable Prognostic Biomarker in Colon and Gastric Cancers. IEEE Journal of Biomedical and Health Informatics, in press, 2025. doi: 10.1109/JBHI.2025.3625431
  28. Altini, N., Prunella, M., Seshan, S. V., Sciascia, S., Barreca, A., Del Gobbo, A., Porubsky, S., Nguyen, H. V., Delprete, C., Prencipe, B., Dobi, D., van Doorn, D. P. C., Timmermans, S. A. M. E. G., van Paassen, P., Bevilacqua, V., Becker, J. U. Multistain multicompartment automatic segmentation in renal biopsies with thrombotic microangiopathies and other vasculopathies. Computerized Medical Imaging and Graphics, 2025, 126, 102658. doi: 10.1016/j.compmedimag.2025.102658
  29. Nitti A., de Tullio M.D., Federico I., Carbone G. A collective intelligence model for swarm robotics applications. Nature Communications, 16, 2025.
  30. De Marinis D., Signorile S., Santeramo M., de Tullio M.D. Three-dimensional conservative phase-field lattice Boltzmann simulations of droplet generation in a flow-focusing microdevice. Physics of Fluids, 37, 2025.
  31. Signorile S., De Marinis D., de Tullio M.D. A 3D Lattice Boltzmann method for accurate wetting of ternary fluids with broad rheological variability. Computer Methods in Applied Mechanics and Engineering, 446, 2024.
  32. Mantegazza A., De Marinis D., de Tullio M.D. Red blood cell transport in bounded shear flow: on the effects of cell viscoelastic properties. Computer Methods in Applied Mechanics and Engineering, 428, 2024.
  33. Wang J., Nitti A., de Tullio M.D. Self-excited flapping motion of wall-mounted valvular leaflets in a three-dimensional channel flow. Physics of Fluids, 36, 2024.
  34. Pasquini G., Scardigno R.M., Buongiorno D., Suglia V., Antonucci L., della Bella S., Beni C., Lonoce N., Carrozza P., Macchi C., Ferrari A., Cristella G., Bevilacqua V. “A Serious Game for Assessing Upper-Limb Visuomotor Adaptation in Children with Cerebral Palsy during Reaching Tasks in Virtual Reality”. Under review in: Scientific Reports.
  35. Mancazzo V., Sibilano E., Buongiorno D., Carli R., Bevilacqua V., Brunetti A. “An interpretable Deep Learning framework for the detection of Parkinson’s disease from resting-state EEG”. Under review in: Biomedical Signal Processing and Control.
  36. Altini, N.; Prunella, M.; Ernst, A.; Assfalg, V.; Arns, W.; Cicalese, L.; Koi, A.; Gambaro, G.; Eccher, A.; Funk, G.; Rigsby, M.; Butler, D.; Ströhlein, M.; Thomas, M.; Stippel, D. L.; Nackenhorst, M. C.; Bevilacqua, V.; Becker, J. U. “Automatic Segmentation of Renal Biopsy Tissue Compartments and Global Glomerulosclerosis Classification in VivaScope Instant Confocal Images”. Under review in: BMC Medical Informatics and Decision Making, 2026.
  37. Zaccaria GM, Altini N, Mezzolla G, Vegliante MC, Stranieri M, Pappagallo SA, Ciavarella S, Guarini A, Bevilacqua V 2024 SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data Computer Methods and Programs in Biomedicine doi: 10.1016/j.cmpb.2023.107966 T3.12
  38.  Moglia, D., Statache, M., Ortone, A., Camboni, D., Proietti, T., Filosa, M., Oddo, C.M. 2025 Thermal Characterization of Tactile E-Skin based on Rayleigh Backscattering Optical Fiber  2025 IEEE Sensors   T3.10
  39.  Benedetti, Auletta, Barravecchia, Angeloni, Oddo 2025 Quantile Thresholding and Unsupervised AI for Human Spheroids Detection in Tissue-Mimicking
  40. Phantoms 2025 IEEE Sensors   T3.1
  41.  Galassi L., Lorenzon L., Pagliarani N., Sarti A., Cianchetti M. 2025 Tailoring Vacuum Artificial Muscles: A Multi-Parametric FEA-Driven Optimization and Monolithic Fabrication IEEE Robotics and Automation Letters doi: 10.1109/LRA.2025.3632110 T3.11
  42.  De Marinis D., Careccia D., Ferrara F., de Tullio M.D 2025 Fully resolved simulations of rigid particle focusing in serpentine microfluidic devices Physical Review Fluids doi:  10.1103/qwzb-g665 T3.3
  43.  Tamadon I., Ibrahimi M., Semproni F., Iacovacci V.,  Menciassi A. 2025 A robotic urinary bladder enabling volume
  44. monitoring and assisted micturition Advanced Intelligent Systems doi: https://doi.org/10.1002/aisy.202500516 T 3.7
  45.  Andrea Ortone, Mariangela Filosa, Giacomo Indiveri, Giuseppe Desoli, Alberto Mazzoni, Calogero Maria Oddo  2026 Bioinspired spiking architecture enables energy constrained touch encoding  Nature Communications doi.org/10.1038/s41467-026-68858-7  T3.10
  46.  Samà, Francesca, Simone Cammarata, Aisha Bibi, Yisbel E. Marin, and Claudio J. Oton 2026  High-isolation polarization splitter rotator in standard silicon photonic platforms  Optics & Laser Technology doi: https://doi.org/10.1016/j.optlastec.2026.115641 T3.8
  47.  Brunetti A, Zaccaria GM, Sibilano E, Marzi S, Vidiri A, Bevilacqua V 2026 Development and Independent Validation of Explainable Radiomics-based Machine Learning Models for Prognosis in Colorectal Liver Metastases Frontiers in Digital Health doi: 10.3389/fdgth.2025.1752699 T3.12

WP4

  1. R. Funari, R. M. A. Ayaz, F. Di Pasquale, C. J. Oton 2025 Low noise refractive index sensing with short-length long-period gratings written with femtosecond laser 29th International Conference of Optical Fiber Sensors (Porto, Portugal, May 2025) TBD T4.5
  2. A. Bartolucci, J. Fuentes, D. Guarnera, F. Lezcano, M. Crespo-Cuadrado, L. Guachi-Guachi, F. Iacoponi, C. Salvatori, R. Collu, M. Barbaro, S. Lai, L. Ricotti, S. Sanchez, L. Vannozzi 2025 Monolithic Biohybrid Flexure Mechanism Actuated by Bioengineered Skeletal Muscle Tissue  Advanced Intelligent Systems 10.1002/aisy.202400989 BIOREM Lab
  3. Lorenzo Vannozzi,* Carlotta Pucci, Diego Trucco, Claudia Turini, Semih Sevim, Salvador Pané, and Leonardo Ricotti* 2025 Biodegradable Piezoelectric Micro- and Nanomaterials for Regenerative Medicine, Targeted Therapy, and Microrobotics Small Science 10.1002/smsc.202400439 BIOREM Lab
  4. Leonardo Boccoli,∇ Elena Drago,∇ Andrea Cafarelli, Lorenzo Vannozzi, Angelo Sciullo, Federica Iberite, Sajedeh Kerdegari, Toshinori Fujie, Emanuele Gruppioni, Claudio Canale, and Leonardo Ricotti* 2025 Micropatterned Styrene−Butadiene−Styrene Thin Films Doped with Barium Titanate Nanoparticles: Effects on Myoblast Differentiation ACS Biomaterials Science & Engineering 10.1021/acsbiomaterials.4c02468 BIOREM Lab
  5. Laura Galassi, Lucrezia Lorenzon, Alberto Comoretto, Johannes T.B. Overvelde, and Matteo Cianchetti 2025 A soft robotic cardiac pump: experimental testing in a Mock Circulation Loop IEEE RAS International Conference on Soft Robotics (RoboSoft) – C-LOOP
  6. Lucrezia Lorenzon, Laura Galassi, Maziar Arfaee, Martina Maselli, Johannes T. B. Overvelde, Jolanda Kluin, and Matteo Cianchetti 2025 A soft robotic artificial heart ventricle: Experimental testing and validation in a mock circulation loop Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) – C-LOOP
  7. C. Camardella, V. Lippi, F. Porcini, G.Bassani, L. Lencioni, C. Mauer, C. Haverkamp, C.A. Avizzano, A. Frisoli, A. Filippeschi 2024 User-Centered Evaluations of the Wearable Walker Lower Limb Exoskeleton, Preliminary Assessment Based on the Experience Protocol Sensors https://doi.org/10.3390/s24165358 T4.4, T4.6
  8. D.Tsiakmakis1, Ma.Iosi, G.Ciuti 2026 Non-Intrusive Contactless Gesture Recognition for Human-Robot Interaction IEEE Robotics and Automation Letters DOI 10.1109/LRA.2026.3686708
  9. Sibilano, E., Delprete, C., Marvulli, P. M., Brunetti, A., Marino, F., Lucarelli, G., Battaglia, M.,  Bevilacqua, V. (2025). Deep Learning Strategies for Semantic Segmentation in Robot-Assisted Radical Prostatectomy. Applied Sciences, 15(19), 10665. Doi: 10.3390/app151910665
  10. Altini, N., Lasaracina, E., Galeone, F., Prunella, M., Suglia, V., Carnimeo, L., Triggiani, V., Ranieri, D., Brunetti, G., and Bevilacqua, V. (2025). A Comparison Between Unimodal and Multimodal Segmentation Models for Deep Brain Structures from T1-and T2-Weighted MRI. Machine Learning and Knowledge Extraction, 7(3), 84. Doi: 10.3390/make7030084
  11. Scardigno, R. M., Brunetti, A., Marvulli, P. M., Carli, R., Dotoli, M., Bevilacqua, V., & Buongiorno, D. (2025). CALIMAR-GAN: An unpaired mask-guided attention network for metal artifact reduction in CT scans. Computerized Medical Imaging and Graphics, 102565.
    Doi: 10.1016/j.compmedimag.2025.102565
  12. A. Rashid and T. Pecorella. Is 6LoWPAN-ND necessary? (Spoiler alert: Yes). Computer Networks (2024). doi: 10.1016/j.comnet.2024.110535
  13. A. Iqbal, W. Khalid, A. Shakeel, A. Rashid, Y. A. Qadri, and H. Yu, “Non-terrestrial networks for enabling IoT connectivity: Technologies, integration, and directions“. Under review in: IEEE Commun. Surveys Tuts.
  14. A. Rashid, A. Iqbal, M. F. Khan, M. F. Khan, G. Sciddurlo, and A. Rago, “A comprehensive layered framework for telesurgery: Technologies, challenges, and future directions”. Under review in: Computer Networks.
  15. Giulia Bassani, Carlo Alberto Avizzano and Alessandro Filippeschi 2025 Deep Learning Algorithms for Human Activity Recognition in Manual Material Handling Tasks Sensors doi: 10.3390/s25216705 T 4.4
  16.  Bezzini Riccardo, Bassani Giulia,
  17. Alberto Avizzano Carlo,
  18. Filippeschi Alessandro 2025 Design of a Novel Flat Cycloidal-Planetary Series Reducer and Experimental Assessment for Assistive Exoskeletons Actuation-CYPLO IEEE Access doi: 10.1109/ACCESS.2025.3638162 T 4.4
  19.  Roventini, E., Iacoponi, F., Poliziani, A., Canepa, P., Cavalleri, O., Cassa, M. A., … & Ricotti, L.  2025 Comparison between SBMA and MPC coatings on PEEK surface:
  20. stability over time and anti-inflammatory effects in vitro Scientific Reports doi: https://doi.org/10.1038/s41598-025-25082-5 BIOREM Lab
  21.  Sorriento, A., Guachi-Guachi, L., Turini, C., Lenzi, E., Dolzani, P., Lisignoli, G., … & Cafarelli, A. 2025 Quantitative ultrasound classification of healthy and
  22. chemically degraded ex-vivo cartilage Scientific Reports doi: https://doi.org/10.1038/s41598-025-07827-4 BIOREM Lab
  23.  Bianchini, M., Iacoponi, F., Battaglini, M., Ciofani, G., Micera, S., Ricotti, L., … & Cafarelli, A.  2025 Piezoelectric Chitosan Microporous Scaffolds for Ultrasound-Driven Schwann Cell Migration and Enhanced Neurotrophins Production ACS Biomaterials Science & Engineering doi: https://doi.org/10.1021/acsbiomaterials.5c01086 BIOREM Lab
  24.  Lucrezia Lorenzon, Thomas Gwosch, Marianne Schmid Daners, and Matteo Cianchetti 2025 Soft robotic right artificial heart ventricle supporting the pulmonary circulation: Experimental testing on Hybrid Mock Circulation IEEE Transactions in Medical Robotics and Bionics   T4.2
  25.  Greta Vazzoler, Cristian Camardella, Massimiliano Gabardi, Simone Marcheschi, Massimiliano Solazzi, Giovanni Berselli, Antonio Frisoli 2025 Design and Performance Assessment of a Cable-Driven, 3-DoFs Exoskeleton for Orthopedic and Post-Stroke Rehabilitation of the Wrist IEEE/ASME Transactions on Mechatronics doi: 10.1109/TMECH.2025.3526411 T4.6
  26.  R. Funari, R. M. A. Ayaz, F. Di Pasquale, C. J. Oton 2026 Refractive Index Sensing Using Small-Period LPGs in Transmission and Reflection Configurations Journal of Lightwave Technology doi: 10.1109/JLT.2026.3653642 T4.5
  27.  Tschon, M., Codispoti, G., Cabras, P., Cafarelli, A., Trucco, D., Vannozzi, L., … & Ricotti, L. 2026 In vivo efficacy of an injectable piezoelectric nanocomposite hydrogel and low-intensity pulsed ultrasound in two preclinical models of osteoarthritis Biomaterials doi: https://doi.org/10.1016/j.biomaterials.2025.123728 BIOREM Lab
  28.  Laura Galassi, Alberto Comoretto, Lucrezia Lorenzon, Matteo Cianchetti, Johannes T.B.Overvelde 2026 Torsional Instability-Driven Pumping in a Soft Artificial Left Ventricle Soft Robotics   T4.2
  29.  Isey B. Meka, Javier Elaskar, Sebastian San Martin, Fabrizio Di Pasquale, Yonas Muanenda, Claudio J. Oton 2026 Signal processing algorithms for improved OFDR-based distributed fiber sensing Optica ImageSense 2026, Maastricht (Netherlands) July 2026 N/A T4.5
  30.  Rana M. Armaghan Ayaz, Riccardo Funari, Fabrizio Di Pasquale, Claudio J. Oton 2026 Plane-by-plane fs FBG writing with an elliptical beam for reduced polarization dependence Optica ImageSense 2026, Maastricht (Netherlands) July 2026 N/A T4.5
  31.  Foggetti M., Galliani M., Pergolini A., Poliziani A., Trigili E., Greco F., Vitiello N., Ferrari L.M., Crea S. 2026 Ultrathin Temporary Tattoo Electrodes Enable Prolonged
  32. Skin-Conformable EMG Sensing for Hip Exoskeleton MDPI Sensors doi: https://doi.org/10.3390/s26092587 T4.8
  33.  Gianluca Rinaldi, Vladimiro Suglia, Luca Tiseni, Cristian Camardella, Michele Xiloyannis, Lorenzo Masia, Domenico Buongiorno, Vitoantonio Bevilacqua, Antonio Frisoli, Domenico Chiaradia 2026 Towards a healthier workplace: how Flexos, an active and bilateral shoulder exoskeleton, provides support in weight-lifting and carrying tasks IEEE Transactions on Robotics doi: 10.1109/TRO.2026.3666155 T4.6
  34.  Rui Chen, Xianlong Mai, Domenico Chiaradia, Antonio Frisoli, Daniele Leonardis 2026
  35. A Soft Fabric-Based Thermal Haptic Device for Virtual Reality IEEE Access doi: 10.1109/ACCESS.2026.3667732 T4.6
  36.  Delprete C, Buongiorno D, Scardigno RM, Sibilano E, Brunetti A, Bevilacqua V 2026 MAPSeg: self-supervised colorectal polyp segmentation via memory-augmented framework and synthetic polyp simulation Frontiers in Digital Health doi: 10.3389/fdgth.2026.1797571 T4.10  Suglia V, Camardella C, Buongiorno D, Bevilacqua V, Frisoli A, Chiaradia D 2026 Fatigue Analysis on an Active Bilateral Shoulder Exoskeleton IEEE MetroXRAINE  T4.11

WP5

  1. Samà F.. Piretta F.. Bontempi F.. Elaskar J.. Angeloni D.. Oton C.J. 2024 Improving the Sensitivity of Refractive Index Interferometric Sensors on Silicon Chip Optica Sensing Congress 2024, (Toulouse, France, July 2024) 10.1364/SENSORS.2024.SW1C.1 WP5 T5.5
  2. F. Samà, F. Piretta, F. Bontempi, J. Elaskar, D. Angeloni, C. J. Oton 2024 Improving chemical sensors on chip: effects of polarization and wavelength  Italian Conference on Optics and Photonics, (Florence, Italy, June 2024) N/A WP5 T5.5
  3. Piretta F.. Samà F.. Bontempi F.. Elaskar J.. Angeloni D.. Oton C.J. 2024 Interferometer-based chemical sensor on chip with enhanced responsivity and low-cost interrogation Biomedical Optics Express 10.1364/BOE.520195 WP5 T5.5
  4. Rondoni, E. H.*, Pizzinga, M.*, Lanzarini, F., Maranesi, M., Albertini, D., Bonini, L., Mazzoni, A 2024 K-medoid clustering of premotor firing patterns supports fine decoding of macaque reach-and-grasp 8th National Congress of Bioengineering, GNB 2023, Padova, Italy ISBN: 9788855580113 T5.4
  5. WP5 D’Alesio G, Stumpp LI, Sciarrone P, Navari A, Gentile F, Borrelli C, Ballanti S, Degl’Innocenti E, Carrasco A, Costa AC, Andrade A, Mannini A, Macefield VG, Emdin M, Passino C, Mazzoni A, Giannoni A, Oddo CM.  2024 An open computational toolbox to analyze multi- and single-unit sympathetic nerve activity in microneurography.  Biophys Rev (Melville) doi: 10.1063/5.0202385
  6. WP5 Lanzarini, F.*, Maranesi, M.*, Rondoni, E. H.*, Albertini, D.*, Ferretti, E., Lanzilotto, M., Micera, S., Mazzoni, A., Bonini, L. 2025 Neuroethology of natural actions in freely moving monkeys SCIENCE doi: https://www.science.org/doi/10.1126/science.adq6510. T5.4
  7. WP5 Samà F.; Piretta F.; Bontempi F.; Elaskar J.; Funari, R.; Oton C.J. 2025 Integrated opto-microfluidic interferometric chemical sensors on silicon chip with enhanced sensitivity 25th Anniversary International Conference on Transparent Optical Networks (ICTON) doi: 10.1109/ICTON67126.2025.11125048 T5.5
  8. WP5 Romeo Lettini, Rana M. Armaghan Ayaz, Francesca Bontempi, Claudio J. Oton, Fabrizio Di Pasquale, Riccardo Funari 2026 Temperature-compensated refractive index sensing using a cascaded FBG/short-period-LPG fiber configuration SPIE 14080, Functional Materials: Advances and Applications, 1408009 (Strasbourg, France, 28 May 2026) doi: https://doi.org/10.1117/12.3099360 T5.5
  9. WP5 Riccardo Funari, Rana M. Armaghan Ayaz, Francesca Samà, Claudio J. Oton, Fabrizio Di Pasquale 2026 Integrated fiber optic platform combining FBG and small-period LPG for accurate refractive index sensing and fPSA detection SPIE 13870, Frontiers in Biological Detection: From Nanosensors to Systems XVIII, 1387008 (San Francisco, USA, January 2026) doi: https://doi.org/10.1117/12.3084746 T5.5
  10. WP5 Riccardo Funari, Rana M. Armaghan Ayaz, Francesca Sama, Vanessa Susini, Maria Franzini, Claudio J. Oton, and Fabrizio Di Pasquale 2026 Reflection-Mode Fiber Optic Biosensor Integrating FBG and Short Period-LPG for Real-Time Detection of fPSA Functional Materials: Advances and Applications; 1408008 (Strasbourg, France, May 2026) doi: https://dx.doi.org/10.1117/12.3099428 T5.5
  11. WP5 Pollina L, Struber L, de Seta V, Russo E, Karakas S, Chabardes S, Aksenova T, Charvet G, Shokur S, Micera S. 2026 Decoupling simultaneous motor imagination and execution via orthogonal ECoG neural representations Nat Commun doi: 10.1038/s41467-026-71234-0 T5.3
  12. R. Mancino, A.Smaldone, M. Meola, R. Dubbioso, F. Ficuciello, “Biomechanical analysis of exo-assisted rehabilitation for amyotrophic lateral sclerosis patients: A proof of concept study“, I-RIM 3D: la Tre Giorni di Robotica e Macchine Intelligenti, Roma, I, Oct. 2024.
  13. F. Shao and F. Ficuciello, “Dynamic Parameter Identification of the Kuka LBR Med Robot,” 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 2023, pp. 1-6, doi: 10.1109/CASE56687.2023.10260583.
  14. C. Iacono, M. Caianiello, S. Bartiromo, A. Smaldone and F. Ficuciello, “Design and Validation of a Multimodal Dataset of Robot-Assisted Suturing Gestures based on Kinematic and Force Information,” 2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), Hong Kong, 2024, pp. 98-103, doi: 10.1109/ARSO60199.2024.10557810.
  15. Pecorella, C., Iacono, C., Siciliano, B., Ficuciello, F. (2024). Human-Robot Interactive Framework with Remote Center of Motion and Virtual Fixtures for Minimally Invasive Robotic Surgery. In: Lenarčič, J., Husty, M. (eds) Advances in Robot Kinematics 2024. ARK 2024. Springer Proceedings in Advanced Robotics, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-031-64057-5_44
  16. F. Shao and F. Ficuciello, “An Intuitive Manual Guidance Scheme to Operate Rotation and Translation Simultaneously,” 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 15180-15186, doi: 10.1109/ICRA57147.2024.10610298.
  17. O. F. Argin, R. Moccia, C. Iacono and F. Ficuciello, “daVinci Research Kit Patient Side Manipulator Dynamic Model Using Augmented Lagrangian Particle Swarm Optimization,” in IEEE Transactions on Medical Robotics and Bionics, vol. 6, no. 2, pp. 589-599, May 2024, doi: 10.1109/TMRB.2024.3387070.
  18. Raffaella Mancino, Aldo Smaldone, Mariarosaria Meola, Marco Caianiello, Raffaele Dubbioso, Giovanni Berselli, Fanny Ficuciello, Design of a Protocol for Biomechanical Analysis of Amyotrophic Lateral Sclerosis Patients: an Exoskeleton-Based Study, 2025 International Conference on Advanced Robotics and Mechatronics (ICARM)pp. 838, 843
  19. M. Meola, C. Iacono, L. Mecozzi, P. Falco and Fanny Ficuciello, Combining Generative AI and Deep Learning to Enhance Biliary Tract Visualization, 18th International Workshop on Human-Friendly Robotics 2025, Capri Island, June 15–16, 2025

WP3 and WP5

  1.  Valerio Mignucci, Ivana Barravecchia, Davide De Luca, Giacomo Siano, Cristina di Primio Jack J.W.A. Van Loon, Debora Angeloni  2025 Hypergravity and ERK inhibition combined synergistically reduce pathological Tau phosphorylation in a neurodegenerative cell model Cells TBD (Under final revision) WP3, WP5 Patcho, Cellmo
  2. V. Zecchino, L. Lombardi, C. Marzocca, P. Patimisco, A. Sampaolo and V. Spagnolo, “Development of Compact Electronics for QEPAS Sensors”, Sensors 25, 6718 (2025).
  3. A. Elefante, M. Giglio, L. Mongelli, A. Bux, A. Zifarelli, G. Menduni, P. Patimisco, A. Caratti, C. Cagliero, E. Liberto, C. Cordero, L. Navarini, V. Spagnolo, A. Sampaolo, “Spectroscopic Study of Volatile Organic Compounds for the Assessment of Coffee Authenticity”, Molecules 30, 3487 (2025).
  4. C. Zhang, Y. Gao, R. Cui, H. Zhang, J. Tian, Y. Tang, L. Yang, C. Feng, P. Patimisco, A. Sampaolo, V. Spagnolo, X. Yin, L. Dong, H. Wu,  “Enhancing photoacoustic trace gas detection via a CNN–transformer denoising framework”, Photoacoustics 45, 100750 (2025).
  5. X. Yang, B. Chen, Y. Liang, J. Hou, D. Zhang, B. Li, A. Sampaolo, P. Patimisco, V. Spagnolo, X. Yin, “A review of laser-spectroscopy-based gas sensing techniques for trace formaldehyde detection”, Measurement 253, 117656 (2025).
  6. K. Kinjalk, F. Paciolla, B. Sun, A. Zifarelli, G. Menduni, M. Giglio, H. Wu, L. Dong, D. Ayache, D. Pinto, A. Vicet, A. Baranov, P. Patimisco, A. Sampaolo and V. Spagnolo, “Highly selective and sensitive detection of volatile organic compounds using long wavelength InAs-based quantum cascade lasers through quartz-enhanced photoacoustic spectroscopy”, Appl. Phys. Rev. 11, 021427 (2024).
  7. A. Zifarelli, G. Negro, L. A. Mongelli, A. Sampaolo, E- Ranieri, L. Dong, H. Wu, P. Patimisco, G. Gonnella, V. Spagnolo, “Effect of gas turbulence in quartz-enhanced photoacoustic spectroscopy: A comprehensive flow field analysis”, Photoacoustics 38, 100625 (2024).
  8. Mancazzo V., Sibilano E., Buongiorno D., Carli R., Bevilacqua V., Brunetti A. “An interpretable Deep Learning framework for the detection of Parkinson’s disease from resting-state EEG”. Under review in: Biomedical Signal Processing and Control.
  9. Clemente, L., La Rocca, M., Paparella, G., Delussi, M., Tancredi, G., Ricci, K., Procida, G., Introna, A., Brunetti, A., Taurisano, P., Bevilacqua, V., de Tommaso, M. Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain–Computer Interface Study. Sensors, 2024, 24(7), 2329. doi: 10.3390/s24072329
  10. Sibiliano, E., Buongiorno, D., Lassi, M., Grippo, A., Bessi, V., Sorbi, S., Mazzoni, A., Bevilacqua, V., Brunetti, A. Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG. IEEE Journal of Biomedical and Health Informatics, 2024, 28(6), 3422–3433. doi: 10.1109/JBHI.2024.3390606
  11. Altini, N., Rossini, M., Turkevi-Nagy, S., Pesce, F., Pontrelli, P., Prencipe, B., Berloco, F., Seshan, S., Gibier, J. B., Dorado, A. P., Bueno, G., Peruzzi, L., Rossi, M., Eccher, A., Li, F., Koumpis, A., Beyan, O., Barratt, J., Huy Quoc, V., Mohan, C., Van Nguyen, H., Cicalese, P. A., Ernst, A., Gesualdo, L., Bevilacqua, V., Becker, J. U. Performance and Limitations of a Supervised Deep Learning Approach for the Histopathological Oxford Classification of Glomeruli with IgA Nephropathy. Computer Methods and Programs in Biomedicine, 2023, p. 107814. doi: 10.1016/j.cmpb.2023.107814
  12. Gentile, E., Brunetti, A., Ricci, K., Vecchio, E., Santoro, C., Sibilano, E., Bevilacqua, V., Iliceto, G., Craighero, L., de Tommaso, M. Effects of movement congruence on motor resonance in early Parkinson’s disease. Scientific Reports, 2023, 13(1), 14887. doi: 10.1038/s41598-023-42112-2
  13. Prencipe, B., Delprete, C., Garolla, E., Corallo, F., Gravina, M., Natalicchio, M. I., Buongiorno, D., Bevilacqua, V., Altini, N., Brunetti, A. An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients. Bioengineering, 2023, 10(7), 747. doi: 10.3390/bioengineering10070747
  14. Sibilano, E., Brunetti, A., Buongiorno, D., Lassi, M., Grippo, A., Bessi, V., Micera, S., Mazzoni, A., Bevilacqua, V. An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG. Journal of Neural Engineering, 2023. doi: 10.1088/1741-2552/acb96e
  15. Berloco, F., Marvulli, P. M., Suglia, V., Colucci, S., Pagano, G., Palazzo, L., Aliani, M., Castellana, G., Guido, P., D’Addio, G., Bevilacqua, V. Enhancing Survival Analysis Model Selection through XAI(t) in Healthcare. Applied Sciences, 2024, 14(14), 6084. doi: 10.3390/app14146084
  16. A. Elefante, M. Giglio, A. Sampaolo, P. Patimisco, V. Spagnolo 2024 Novel Optical Techniques for VOCs Detection in Breath. Arcangelo Picciariello, Donato F. Altomare (Ed.), Volatile Organic Compounds: New Potential Biomarkers for Colorectal Cancer, Springer Nature Switzerland AG (2025).  doi: https://doi.org/10.1007/978-3-031-83406-6 T 3.9; T5.9
  17. Özkan M, Cellot G, Pawar S, Sardana D, Barravecchia I, Ballerini L, Angeloni D, Micera S, Stellacci F. 2025 Unraveling the Potential of Small Molecule Heparin Glycomimetics in Neuroregenerative Therapeutics. J Am Chem Soc doi: 10.1021/jacs.5c13142 T3.1, T5.1
  18.  M. Olivieri, A. Elefante, G. Menduni, M. Giglio, H. Wu, L. Dong, P. Patimisco, V. Spagnolo, A. Sampaolo 2026 Simultaneous Detection of 12CH4, 13CH4, and Related Isotope Ratio Exploiting a Frequency-Multiplexed Mid-Infrared Quartz-Enhanced Photoacoustic Sensor ACS Sensors  doi: https://doi.org/10.1021/acssensors.5c02871  T 3.9; T5.9
  19.  L. Melchiorre, G. Menduni, G. Magno, , L. O’Faolain, P. Patimisco,  V. Spagnolo, A. Sampaolo 2026 Comparison of QEPAS and BF-QEPAS approaches for methane and ethane sequential detection in the near-IR spectral range  Optics & Laser Technology  doi: https://doi.org/10.1016/j.optlastec.2026.114847 T 3.9; T5.9
  20.  N. Ardito, A. Elefante, M. Giglio, A. Zifarelli, L. Facchini, P. Patimisco, V. Spagnolo, N. Amoroso, A. Sampaolo 2026 Wavelet-enhanced TD–GC–MS analysis of molecular pattern alterations in gas samples induced by breath sampling devices J. Breath  Res. doi: https://doi.org/10.1088/1752-7163/ae3d5a T 3.9; T5.9
  21.  C. Sun, C. Wang, X. Shen, C. Feng, X. Xie, L. Shi, R. Cui, J. Dai, Y. Wang, M. Giglio, A. Sampaolo, P. Patimisco, L. Xiao, V. Spagnolo, X. Yin, L. Dong, H. Wu 2026 Simultaneous detection of methane and carbon dioxide in human exhalation based on photoacoustic spectroscopy Photoacoustics  doi: https://doi.org/10.1016/j.pacs.2026.100815 T 3.9; T5.9
  22.  L. A. Mongelli, A. Elefante, G. Menduni, M. Giglio, A. Zifarelli, P. Patimisco, L. O’Faolain, D. Fernandez, J. Zanotto, V. Spagnolo, A. Sampaolo 2026 Bridging chromatographic and photoacoustic domains: A hybrid system for compositional and isotopic analysis of natural gas”,   Sens. Act. B Chem. doi: https://doi.org/10.1016/j.snb.2026.140279 T 3.9; T5.9
  23. WP3; WP5 Cariola A, Sibilano E, Guerriero A, Bevilacqua V, Brunetti A 2025 Deep learning strategies for semantic segmentation of pediatric brain tumors in multiparametric MRI Scientific Reports doi: 10.1038/s41598-025-07257-2 T3.12; T5.8
  24. WP3; WP5 Cariola A, Sibilano E, Brunetti A, Buongiorno D, Guerriero A, Bevilacqua V 2025 Enhanced Segmentation of Glioma Subregions via Modality-Aware Encoding and Channel-Wise Attention in Multimodal MRI Applied Sciences doi: 10.3390/app15148061 T3.12; T5.8
  25. WP3; WP5 Mancazzo V, Sibilano E, Buongiorno D, Carli R, Bevilacqua V, Brunetti A 2026 Parkinson’s disease detection from resting-state EEG using a Transformer model with Multi-Head Attention explanations Biomedical Signal Processing and Control doi: 10.1016/j.bspc.2026.109811 T3.12; T5.8

WP3, WP4 and WP5

  1.  Suglia, V., Brunetti, A., Pasquini, G., Caputo, M., Marvulli, T. M., Sibilano, E., Della Bella, S., Carrozza, P., Beni, C., Naso, D., Monaco, V., Cristella, G., Bevilacqua, V., Buongiorno, D. A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality. Sensors, 2023, 23(11), 5017. doi: 10.3390/s23115017.

WP6

  1. Giovanna De Luca, Anna Chiara Bressi, Radan Pathan, Niccolò Pagliarani, Martina Maselli, Francesco Greco, Matteo Cianchetti 2025 Soft Robots Proprioception Through Stretchable Laser-Induced Graphene Strain Sensors Advanced Intelligent Systems – Wiley https://doi.org/10.1002/aisy.202401071 WP6 T6.1
  2. Alexander Dallinger, Rachel Camerini, Paola Parlanti, Mauro Gemmi, Sreenadh Thaikkattu Sankaran, Marina Galliani, Birgit Kunert, Rodorico Giorgi, Francesco Greco 2025 Laser-Induced Graphene from Commercial Inks and Dyes Advanced Science – Wiley https://doi.org/10.1002/advs.202412167 WP6 T6.1
  3. Marina Galliani, Francesco Greco, Esma Ismailova, Laura M. Ferrari 2025 On the Breathability of Epidermal Polymeric-Printed Tattoo Electrodes Applied Electronic Materials 10.1021/acsaelm.4c01902 WP6 T6.1
  4. Manduca G., Lloyd T.W., Stefanini C., & Romano D.  2025 Automated detection of larval stages of the Black Soldier Fly (Hermetia illucens Linnaeus) through deep learning augmented with optical flow.  Information Processing in Agriculture https://doi.org/10.1016/j.inpa.2025.05.001  WP6 T 6.16
  5. Casadei, A., Boukouvala, M. C., Manduca, G., Kavallieratos, N. G., Maggi, F., Ferrati, M., Spinozzi, E., Stefanini, C., DeSimone, A., & Romano, D. (2026). Using deep learning to assess the toxicological effects of sublethal exposure of a novel green pesticide in a stored-product beetle.Pest Management Science. https://doi.org/10.1002/ps.70545. WP6, T6.4
  6. Costanzo, Agata. Bressi, Anna Chiara. Frey, Marco. Greco, Francesco. Niero, Monia 2025 Is laser-induced graphene (LIG) environmentally sustainable? Laboratory-scale life cycle assessment of LIG from petroleum- and bio-derived precursors The International Journal of LCA https://dx.doi.org/10.1007/s11367-025-02524-w WP6 T6.1
  7. Bressi, Anna Chiara. Amaro, Lucía Pérez. Pizzo, Benedetto. Marino, Attilio. Ciofani, Gianni. Greco, Francesco 2025 Laser‐Induced Graphene from Wood‐Based Composites: Integrating Circuits in Bioderived Furniture ADVANCED SUSTAINABLE SYSTEMS https://dx.doi.org/10.1002/adsu.202500565 WP6 T6.1
  8. Steksova, Yulia. Bressi, Anna Chiara. Galliani, Marina. Marino, Attilio. Ciofani, Gianni. Machado‐Charry, Eduardo. Bernal, Hilda Gomez. Francini, Alessandra. Sebastiani, Luca. Greco, Francesco 2025 Laser‐Induced Graphene from Waste Almond Shells ADVANCED FUNCTIONAL MATERIALS https://dx.doi.org/10.1002/adfm.202507462 WP6 T6.1
  9. Del Sole R.. Dallinger A.. Kunert B.. Thaikkattu Sankaran S.. Greco F.. Parlanti P.. Gemmi M.. Milella A.. Fracassi F.. Coclite A. M. 2025 Photocatalytic dye removal with ZnO/Laser-Induced graphene nanocomposite APPLIED SURFACE SCIENCE https://dx.doi.org/10.1016/j.apsusc.2024.161875 WP6 T6.1
  10. Sreenadh Thaikkattu Sankaran, Alexander Dallinger, Anna Chiara Bressi, Attilio Marino, Gianni Ciofani, Aleksandra Szkudlarek, Vitaliy Bilovol, Krystian Sokolowski, Birgit Kunert, Hana Kristin Hampel, Hilda Gomez Bernal, Francesco Greco 2024 From Corn Starch to Nanostructured Magnetic Laser-Induced Graphene Nanocomposite Small – Wiley  https://doi.org/10.1002/smll.202405252 WP6 T6.1
  11. DE BERNARDI, C., TODARO, N.M., DE GIACOMO, M.R., FREY, M. 2024 Harnessing collective bargaining for fostering sustainability and competitiveness: fact or fiction? Electronic Conference Proceedings – Sinergie-SIMA 2024 Management Conference  10.7433/SRECP.SP.2024.01 WP6  
  12. Manduca, G., Stefanini, C., & Romano, D. (2026). A Perciform-Inspired Robotic Fish for Field-Ready Animal-RobotInteraction.2026 IEEE International Conference on Cyborg and Bionic Systems (CBS).TBD.WP6, T6.4
  13. A.Pavone, R.Rifino, A.Pricci, G.Stano, G.Percoco (2025), Fully Integrated Silicone Electromagnetic Actuators for Unthetered and Bio-Inspired Soft Robotics. Advanced Intelligent Systems. 000:e2500490. https://doi.org/10.1002/aisy.202500490
  14. Stano, G., Cianchetti, M., Pavone, A., D’Orazio, M., Tadesse, Y. and Percoco, G. (2025), Scan and 3D Print: Magnetic Resonance Imaging-Guided, Monolithic Desktop Fabrication of Highly Biomimetic Skeletal System of the Human Hand. Advanced Intelligent Systems. 2500470. https://doi.org/10.1002/aisy.202500470
  15. Rifino, R., Stano, G. & Percoco, G. (2025) Machine learning to predict interface adhesion between dissimilar materials in multi-material extrusion additive manufacturing. Int J Adv Manuf Technol 138, 4577–4592 (2025). https://doi.org/10.1007/s00170-025-15798-z
  16. Trimini, V., Stano, G., Varetti, S. et al (2025). Atmospheric plasma enhances interlayer adhesion in high-performance 3D-printed polymers by modifying surface energy, morphology and chemical composition. Progress in Additive Manufacturing (2025). https://doi.org/10.1007/s40964-025-01192-4
  17. G.Stano, M.D’Orazio, A.Pavone, G.Percoco (2024) Next Generation of 3D‐Printed Electronics: Electroplating Inside Channels to Embed 3D Copper Features within Polymeric Structures Fabricated Through Material Extrusion Advanced Materials Technologies. https://doi.org/10.1002/admt.202401923
  18. A. Pavone, S. Terryn, H. Abdolmaleki, A. Cornellà, G. Stano, G. Percoco, B. Vanderborght (2024) Additive manufacturing of Diels-Alder self-healing polymers: Separate heating system to enhance mechanical, healing properties and assembly-free smart structures Additive Manufacturing. https://doi.org/10.1016/j.addma.2024.104535
  19. G.Stano, A. Pavone, MA Jafor, K. Matalgah, G.Percoco, T.Fleck (2024) Enhancing the sensitivity of 3D printed sensors via ironing and void reduction. Virtual and Physical Prototyping. https://doi.org/10.1080/17452759.2024.2331153
  20. G.Stano, A. Pricci, A.Pavone, G.Percoco (2024) Electromagnetic assistance enables 3D printing of silicone-based thin-walled bioinspired soft robots. Additive Manufacturing. https://doi.org/10.1016/j.addma.2024.104028
  21. Gleirscher, Milena; Zeiler, Stefan; Parlanti, Paola; Bandl, Christine; Maier‐kiener, Verena; Greco, Francesco; Schlögl, Sandra 2025 Friction and Wear Behavior of Laser‐Induced Graphene Structures on Polyimide Films Small – Wiley doi: 10.1002/smsc.202500335 T6.1
  22.  Paolucci, F. and Guaitolini, M. and Sgambelluri, A. and Alhamed, F. and Uomo, D. and Paolini, E. and Satler, M. and Gonzalez, P. and Ruiz, M. and Velasco, L. and Parker, S. and Pryor, S. and Pongracz, G. and Mihaly, A. and Dalgkitsis, A. and Papagianni, C. and Laki, S. and Kis, D. and Nanos, A. and Lefebvre, V. and Angoustures, M. and Vegas Olmos, J. J. 2025 Augmented Reality in the DESIRE6G Cloud-native and Programmable Infrastructure with Multi-Agent System and Pervasive Monitoring, IEEE Conference on Standards for Communications and Networking (CSCN), Bologna, Italy,  doi: 10.1109/CSCN67557.2025.11230754 T6.3
  23.  Rossi F., De Bernardi C., Niero M. & Frey M. 2025 EMPOWERING FOUNDRIES FOR SUSTAINABILITY: A USER-FRIENDLY ECO-DESIGN TOOL FOR ENVIRONMENTAL SELF-ASSESSMENT Detritus, 33, 106–114 doi: https://doi.org/10.31025/2611-4135/2025.19537 T6.2
  24.  Albano, F., De Bernardi, C., Abbate, F. M., Baldereschi, E., Niero, M., & Frey, M. 2025 BRIDGING THE GAP: HOW GHG ACCOUNTING TOOLS CAN SUPPORT BEER COMPANIES IN THE IMPLEMENTATION OF CIRCULAR ECONOMY STRATEGIES Detritus, 33, 87–96 doi: https://doi.org/10.31025/2611-4135/2025.19539 T6.2
  25.   Di Wu, Dong Li, Peng Cheng, Vincenzo Scognamiglio, Vincenzo Lippiello 2025 Feature-Enhanced Neural Network Control with Neighbor-Coupled Adaptive Learning for Quadrotor UAVs IEEE Transactions on Aerospace and Electronic Systems  T6.8

WP7 Low Policy Hub – Publications

Conference proceedings:

  1. Doan, X., Doğan, F. S., & Rossi, A. (2024). Analysis of Transparency and User-Relevancy of DTC Company Policies. In Privacy Symposium: Data Protection Law International Convergence and Compliance with Innovative Technologies (pp. 191-215). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-76265-9_9
  2. Valoggia, P., Sergeeva, A., Rossi, A., & Botes, W. M. (2024). Learning from the Dark Side About How (not) to Engineer Privacy: Analysis of Dark Patterns Taxonomies from an ISO 29100 Perspective. In Proceedings of the 10th International Conference on Information Systems Security and Privacy. SCITEPRESS-Science and Technology Publications. https://doi.org/10.5220/0012393100003648
  3. Bongard-Blanchy, K., Sterckx, J. L., Rossi, A., Sergeeva, A., Koenig, V., Rivas, S., & Distler, V. (2023, October). Analysing the Influence of Loss-Gain Framing on Data Disclosure Behaviour: A Study on the Use Case of App Permission Requests. In Proceedings of the 2023 European Symposium on Usable Security (pp. 112-125). https://doi.org/10.1145/3617072.3617108
  4. Kocyigit, E., Rossi, A., & Lenzini, G. (2024, September). A Systematic Approach for A Reliable Detection of Deceptive Design Patterns Through Measurable HCI Features. In Proceedings of the 2024 European Symposium on Usable Security (pp. 290-308). https://doi.org/10.1145/3688459.3688475
  5. Prunella, M.; Altini, N.; Zaccaria, G. M.; Scarabaggio, P.; Carli, R.; Dotoli, M.; Bevilacqua, V. Pharmacokinetic-pharmacodynamic modeling of tumor angiogenesis unveils the need for time-adjustable drug regimens. IX National Congress of Bioengineering, June 16–18, 2025, Palermo, Italy.
  6. Scardigno, R. M.; Buongiorno, D.; Brunetti, A.; Suglia, V.; Della Bella, S.; Beni, C.; Lonoce, N.; Carrozza, P.; Carli, R.; Dotoli, M.; Pasquini, G.; Cristella, G.; Bevilacqua, V. A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Reaching Tasks in Virtual Reality. IX National Congress of Bioengineering, June 16–18, 2025, Palermo, Italy.
  7. Palazzo, L.; Suglia, V.; Grieco, S.; Buongiorno, D.; Brunetti, A.; Carnimeo, L.; Amitrano, F.; Coccia, A.; Pagano, G.; D’Addio, G.; Bevilacqua, V. Towards Unilateral Pathological Deep Learning-based Gait Recognition with Accelerometer Data. IX National Congress of Bioengineering, June 16–18, 2025, Palermo, Italy.
  8. Suglia, V.; Camardella, C.; Rinaldi, G.; Chiaradia, D.; Buongiorno, D.; Zhou, H.; Frisoli, A.; Leonardis, D.; Bevilacqua, V. Muscle Network Analysis of a Dynamic Bilateral Task With an Upper Limb Exoskeleton. 19th International Conference on Rehabilitation Robotics (ICORR), May 12–16, 2025, Chicago, USA.
  9. Palazzo, L.; Suglia, V.; Grieco, S.; Buongiorno, D.; Pagano, G.; Bevilacqua, V.; D’Addio, G. Optimized Deep Learning-based Pathological Gait Recognition explored through Network Analysis of Inertial Data. IEEE International Symposium on Medical Measurements and Applications 2025 (IEEE MeMeA 2025).
  10. Signorile S., De Marinis D., de Tullio M.D. An accurate wetting boundary scheme for simulating three component immiscible multiphase fluid systems in microchannels. 2nd European Fluid Dynamics Conference, Dublin (Ireland), August 26-29, 2025.
  11. Nitti A., De Marinis D., de Tullio M.D. On the shape-Reynolds number correlation in jellyfish locomotion. EUROMECH COLLOQUIUM 654 – Bio-inspired Fluid-Structure Interaction, Wien (Austria), July 9-11, 2025.
  12. de Tullio M.D., Nitti A. A detailed Multiphysics model for jellyfish locomotion. 1st European Fluid Dynamics Conference, Aachen (Germany), September 16-20, 2024.
  13. Nitti A., de Tullio M.D. Transition from jet propulsion to rowing propulsion in biologic swimmers. 1st European Fluid Dynamics Conference, Aachen (Germany), September 16-20, 2024.
  14. De Marinis D., Signorile S., de Tullio M.D. A Fluid-Structure Interaction framework for particle transport applications in inertial microfluidics. 1st European Fluid Dynamics Conference, Aachen (Germany), September 16-20, 2024.
  15. Nitti A., de Tullio M.D., Eloy C. How passive cilia modulate tumbling of microorganisms. American Physical Society, 76th Annual Meeting of the Division of Fluid Dynamics, Washington, DC (US), November 19-21 2023.
  16. Signorile S., De Marinis D., Mantegazza A., de Tullio M.D. A coupled Lattice-Boltzmann and Langevin-dynamics method for simulating transport of nanoscale vesicles in microchannels. Joint Conference of the AIMETA Groups GIMC, GMA and GBMA, Reggio Calabria (Italy), July 12-14, 2023.
  17. De Marinis D., Mantegazza A., de Tullio M.D. Flow-structure interaction method for simulating capsule sorting in curved microchannels. Dynamics of Capsules, Vesicles and Cells in Flow – DynaCaps 2023, Université de Technologie de Compiègne, France, July10-13, 2023.
  18. Mantegazza A., De Marinis D., de Tullio M.D. A Lattice-Boltzmann fluid-structure-interaction framework to investigate red blood cell dynamics in microfluidic channels. Dynamics of Capsules, Vesicles and Cells in Flow – DynaCaps 2023, Université de Technologie de Compiègne, France, July10-13, 2023
  19. Nicoletta Ardito, Arianna Elefante, Andrea Zifarelli, Pietro Patimisco, Marilena Giglio, Vincenzo Spagnolo, and Angelo Sampaolo “Quartz-Enhanced Photoacoustic Sensor for Real Time and In-line Detection of Methane in Exhaled Breath” CONFERENCE ON PHOTONICS FOR ADVANCED SPECTROSCOPY AND SENSING 14 -19 SEPTEMBER 2025,  CALASERENA (CA), SARDINIA, ITALY
  20. Silvano Spagnolo, Nicoletta Ardito, Daphne Spagnolo, Arianna Elefante, Marilena Giglio, Arcangelo Picciariello, Leonardo Vincenti, Agnese Dezi, Angelo Sampaolo, Alessia Di Gilio, Jolanda Palmisani, Gianluigi De Gennaro, Vincenzo Spagnolo “GC-MS-Based Breath Analysis for Early Detection of Colorectal Cancer: A Non-Invasive Diagnostic Approach”, CONFERENCE ON PHOTONICS FOR ADVANCED SPECTROSCOPY AND SENSING 14 -19 SEPTEMBER 2025, CALASERENA (CA), SARDINIA, ITALY
  21. Daphne Spagnolo, Andrea Zifarelli, Vitoantonio Bevilacqua, Antonio Brunetti, Arcangelo Picciariello, Agnese Dezi, Leonardo Vincenti, Vincenzo Spagnolo, “ATR-FTIR Spectroscopy of Blood Serum for Early, Non-Invasive Detection of Gastrointestinal Cancers”, CONFERENCE ON PHOTONICS FOR ADVANCED SPECTROSCOPY AND SENSING 14 -19 SEPTEMBER 2025, CALASERENA (CA), SARDINIA, ITALY
  22. Vincenzo Spagnolo “Robust and sensitive mid-IR QEPAS sensors: From laboratory innovation to field-ready applications”, 111° Congresso Nazionale della Società Italiana di Fisica – 22 -26 Settembre 2025 – Palermo
  23. Marilena Giglio, Nicoletta Ardito, Arianna Elefante, Angelo Sampaolo, Pietro Patimisco, Vincenzo Spagnolo, “Exhaled Volatile Organic Compounds Analysis Using a Breath Sampler-coupled QEPAS Sensor2 PIERS 2025 Conference – 6-10 Novembre 2025 Chiba (Japan)
  24. V. Spagnolo, A. Zifarelli, G. Menduni, A. Elefante, M. Giglio, A. Sampaolo, P. Patimisco, H. Wu, D. Lei, “Tuning fork-based gas sensing and spectroscopy”, 44th Colloquium Spectroscopicum Internationale (CSI) – Ulm 2025.
  25. P. Patimisco, A. Zifarelli, R. De Palo, M. Giglio, A. Sampaolo, V. Spagnolo, “The One Health Approach: Perspectives for Quartz-Enhanced Photoacoustic Spectroscopy”, The 22nd International Conference on Photoacoustic and Photothermal Phenomena (ICPPP22), 8-12 July 2024 Coimbra
  26. V. Spagnolo, “Recent Advances in Quartz Tuning Forks- Based Gas Sensing and Spectroscopy”, Laser Applications to Chemical, Security and Environmental Analysis (LACSEA) Tolosa 2024.

BRIEF Book Contributions:

  1. Brunetti, A., Buongiorno, D., Altini, N., Bevilacqua, V. Enabling Technologies for Optimized Diagnosis, Therapy and Rehabilitation: Obtained Results and Future Works. In: Bochicchio, M., Siciliano, P., Monteriù, A., Bettelli, A., De Fano, D. (eds) Ambient Assisted Living. ForItAAL 2023. Lecture Notes in Bioengineering. Springer, Cham. doi: 10.1007/978-3-031-63913-5_19.