1. Cordero-Sánchez, Bazuerlo-Ruiz; Pérez-Soriano, P; Serrancolí, G. Comparison of Ground Reaction Forces and Net Joint Moment Predictions: Skeletal Model Versus Artificial Neural Network-Based Approach. 2025. Journal of Applied Biomechanics 41(4):290-303. https://doi.org/10.1123/jab.2024-0113. The code can be found here: https://github.com/JuanCS96/Running_Biomechanics_ANN. 

2. Cordero-Sánchez, J.; Bini, R; Serrancolí, G. Validity of recurrent neural networks to predict pedal forces and lower limb kinetics in cycling. 2025. Journal of Biomechanics. 183:112619. https://doi.org/10.1016/j.jbiomech.2025.112619. The code can be found here:

https://github.com/JuanCS96/Cycling_Biomechanics_ANN/ 

3. Michaud, F; Serrancolí, G; Quental, C; Innocenti, B. Editorial: Advances in the neuromusculoskeletal modeling of injuries, diseases, and clinical treatments. 2024. Frontiers in neurosciences 18:1463130. doi: 10.3389/fnins. https://doi.org/10.3389/fnins.2024.1463130. 

4. Morales-Avalos, J; Morales-Avalos, R; Martínez-Guajardo, K; Pacheco-Garcia, L.M.; Perelli, S; Monllau, J.C.; Sánchez Egea, A.J.; Serrancolí, G. How effective is proximal fibular osteotomy in redistributing joint pressures? Insights from an HTO comparative in-silico study. 2024. Journal of Orthopaedic Surgery and Research 19:333. https://doi.org/10.1186/s13018-024-04807-8.

5. Morales-Avalos, J; Morales-Avalos, R; Martínez-Guajardo, K; Perelli, S; Monllau, J.C.; Sánchez Egea, A.J.; Serrancolí, G. In-silico study of the biomechanical effects of proximal-fibular osteotomy on knee joint contact pressure in varus-valgus misalignment. 2024. Medical Engineering & Physics 129:104185. https://doi.org/10.1016/j.medengphy.2024.104185. 

6. Cowburn, J; Serrancolí, G; Colyer, S; Cazzola, D. Optimal fibre length and maximum isometric Force are the most influential parameters when modelling muscular adaptations to unloading using Hill-Type muscle models. 2024. Frontiers in Physiology 15:1347089. https://doi.org/10.3389/fphys.2024.1347089. 

7. Cowburn, J; Serrancolí, G; Pavei, G; Minetti, A; Salo, A; Cazzola, D. A novel computational framework for the estimation of internal musculoskeletal loading and muscle adaptation in hypogravity. 2024. Frontiers in Physiology 15:1329765. https://doi.org/10.3389/fphys.2024.1329765. 

8. Rico, R; Serrancolí, G; Pereira, P; Pinto, A; Moura, F. Criterion validity of neural networks to assess lower limb motion during cycling. 2023. Journal of Sports Sciences 41(1):36-44. https://doi.org/10.1080/02640414.2023.2194725. 

9. Haralabidis, N, Colyer, S; Serrancolí, G; Salo, A; Cazzola, D. Modifications to the net knee moments lead to the greatest improvements in accelerative sprinting performance: a predictive simulation study. 2022. Scientific Reports 12: 15908. https://doi.org/10.1038/s41598-022-20023-y 

10. Garcia, A; Mayans, C; Margelí, C; Pamplona, A; Molas, C; Monràs, J; Alpiste, F; Torner, J; Serrancolí, G. A feasibility study to assess the effectiveness of Muvity: a telerehabilitation system for chronic post-stroke subjects. 2022. Journal of Stroke and Cerebrovascular Diseases 31(11): 106791. https://doi.org/10.1016/j.jstrokecerebrovasdis.2022.106791 

11. Perelli, S; Morales-Ávalos, R; Formagnana, M; Rojas-Castillo, G; Serrancolí, G; Monllau, J.C. Lateral extraarticular tenodesis improves stability in non-anatomic ACL reconstructed knees: in vivo kinematic analysis. 2022. Knee Surgery, Sports Traumatology, Arthroscopy 30, 1958–1966. https://doi.org/10.1007/s00167-021-06854-8. 

12. Rico, R; Serrancolí, G; Arruda, F; Pereira, P.R.; Pinto, A. Validity of neural networks to determine body position on the bicycle. 2022. Research Quarterly for Exercise and Sport 16:1-8. http://doi.org/10.1080/02701367.2022.2070103. 

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13. Rueda-Galindo, L; Zerón-Rugerio, M.F.; Sánchez Egea, A.J.; Serrancolí, G.; Izquierdo-Pulido, M. A Mediterranean-Style diet plan is associated with greater effectiveness and sustainability in weight Loss in patients with obesity after endoscopic bariatric therapy. 2002. Medicina, 58(2), 168. https://doi.org/10.3390/medicina58020168 

14. Sánchez Egea, A.S; Martynenko, V; Simoncelli, A; Serrancoli, G; Martínez Krahmer, D. Sliding abrasive wear when combining WEDM conditions and polishing treatment on H13 disks over 1045 carbon steel pins. 2022. The International Journal of Advanced Manufacturing Technology. 118: 183–193.  https://doi.org/10.1007/s00170-021-07897-4 

15. Manzano, M; Serrancolí, G. A factorization-based algorithm to predict EMG data using only kinematics information. 2021. International Journal for Numerical Methods in Biomedical Engineering. 37:e3463. doi: 10.1002/cnm.3463. https://doi.org/10.1002/cnm.3463 

16. MacLeod, A.; Peckham, N; Serrancolí, G; Rombach, I; Hourigan, P; Mandalia, V; Toms, A; Fregly, B.J; Gill, H. Personalised HTO has mechanical safety equivalent to generic HTO: findings from a novel case-control in silico clinical trial. 2021. Communications Medicine 1(6). https://doi.org/10.1038/s43856-021-00001-7. Code and supplementary data can be downloaded from: https://doi.org/10.15125/BATH-00926 

17. Haralabidis, N; Serrancolí, G; Colyer, S; Bezodis, I; Salo, A; Cazzola, D. Three-dimensional data-tracking simulations of sprinting using a direct collocation optimal control approach. 2021. PeerJ 9:e10975. https://doi.org/10.7717/peerj.10975.                                                                               

Videos and data files can be found at https://doi.org/10.6084/m9.figshare.12656354.

18. Serrancolí, G; Alessandro, C; Tresch, M.C. The Effects of Mechanical Scale on Neural Control and the Regulation of Joint Stability. 2021. International Journal of Molecular Sciences 22(4), 2018. https://doi.org/10.3390/ijms22042018 

19. Serrancolí, G; Bogatikov, P; Tanyà, G; Torner, J; Monllau, J.C.; Perelli, S. An open-source Android application to measure anterior-posterior knee translation. 2020. Applied Sciences 10(17), 5896. https://doi.org/10.3390/app10175896 

20. Serrancolí, G; Kinney, A; Fregly, B.J. Influence of musculoskeletal model parameter values on prediction of accurate knee contact forces during walking. 2020. Medical Engineering and Physics 85: 35-47. https://doi.org/10.1016/j.medengphy.2020.09.004.                                                      

The code is available at https://github.com/gilserrancoli/mskkneeforces Pdf version

21. Serrancolí, G; Bogatikov, P; Palés, J; Forcada, A; Sánchez-Egea, A.; Torner, J; Kanaan-Izquierdo, S; Susín, A. Marker-less monitoring protocol to analyze biomechanical joint metrics during pedaling. 2020. IEEE Access 8(122782-122790). https://doi.org/10.1109/ACCESS.2020.3006423.

The code is available at https://github.com/gilserrancoli/capture_2Dcycling.

22. Falisse, A*; Serrancolí, G*; Dembia, C; Gillis, J; De Groote, F. Algorithmic differentition improves the computational efficiency of OpenSim-based trajectory optimization of human movement. 2019. PlosOne 14(10):1-19. (*equal contribution). https://doi.org/10.1371/journal.pone.0217730 

The code is available at https://github.com/antoinefalisse/algodiff.

23. Serrancolí, G; Falisse, A.; Dembia, C.; Vantilt, J; Tanghe, K; Lefeber, D; Jonkers, I; De Schutter, J., De Groote, F. Subject-exoskeleton contact model calibration leads to realistic interaction force predictions. 2019. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(8): 1597 - 1605. http://doi.org/10.1109/TNSRE.2019.2924536. The code is available at https://simtk.org/projects/predicsubjexosk/.

24. Falisse, A; Serrancolí, G; Dembia, C; Gillis, J; Jonkers, I; De Groote, F. Rapid predictive simulations with complex musculoskeletal models suggest that diverse healthy and pathological human gaits can emerge from similar control strategies. 2019. Journal of the Royal Society Interface. 16: 20190402. https://doi.org/10.1098/rsif.2019.0402. The code is available at https://github.com/antoinefalisse/3dpredictsim. 

25. Serrancolí, G; Pàmies-Vilà, R. Analysis of the influence of coordinate and dynamic formulations on solving biomechanical optimal control problems. 2019. Mechanism and machine theory. 142:103578. https://doi.org/10.1016/j.mechmachtheory.2019.103578. 

The code is available at https://data.mendeley.com/drafts/cj6c5k2pj7. Pdf version

26. MacLeod, A; Serrancolí. G; Fregly, B.J.; Toms, A; Gill, R. The effect of plate design, bridging span, and fracture healing on the performance of high tibial osteotomy plates – an experimental and finite element study. 2018. Bone & Joint Research 7(12): 639–649. https://doi.org/10.1302/2046-3758.712.BJR-2018-0035.R1. 

27. Serrancolí, G; Kinney, A.L.; Fregly, B.J.; Font-Llagunes, J.M. Neuromusculoskeletal model calibration significantly affects predicted knee contact forces for walking. 2016. Journal of biomechanical Engineering. 138(8): 081001. https://doi.org/10.1115/1.4033673. 

28. Serrancolí, G; Font-Llagunes, J.M.; Monllau, J.C. Analysis of muscle synergies and activation–deactivation patterns in subjects with anterior cruciate ligament deficiency during walking. 2016. Clinical Biomechanics. 31: 65 – 73. https://doi.org/10.1016/j.clinbiomech.2015.09.019. Supplementary data can be downloaded from: https://ars.els-cdn.com/content/image/1-s2.0-S0268003315002600-mmc1.xls. 

29. Serrancolí, G; Font-Llagunes, J.M.; Barjau, A. A weighted cost function to deal with the muscle force sharing problem in injured subjects: a single case study. 2014. Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics. 228(3): 65-73. https://doi.org/10.1177/1464419314530110. 

1.  Wang, Z., Tran, S., Serrancolí, G., Tresch, M.C. (2025). A Method to Characterize Rat Hindlimb Mechanics Using Dynamic Perturbations. In: Szczecinski, N.S., Webster-Wood, V., Tresch, M., Nourse, W.R.P., Mura, A., Quinn, R.D. (eds) Biomimetic and Biohybrid Systems. Living Machines 2024. Lecture Notes in Computer Science(), vol 14930. Springer, Cham. https://doi.org/10.1007/978-3-031-72597-5_31. 

2. Morales, J.; Morales-Avalos, R.; Perelli, S.; Monllau, J.; Sanchez Egea, Antonio J.; Serrancoli, G. Proximal fibular osteotomy versus high tibial osteotomy: an in-silico finite Element study.  IX Latin American Congress on Biomedical Engineering and XXVIII Brazilian Congress on Biomedical Engineering. CLAIB CBEB 2022 2022. IFMBE Proceedings, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-031-49407-9_3. 

3. Serrancolí, G; Torner, J; Perelli, S; Monllau, J.C. On the use of mesh-based joint contact models within simulations using automatic differentiation. Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II pp 244–249. 2022. https://doi.org/10.1007/978-3-031-10015-4_21

4. Serrancolí, G; De Schutter, J; De Groote, F. Analysis of optimal control problem formulations in skeletal movement predictions. Converging Clinical and Engineering Research on Neurorehabilitation II. Pages: 1269-1273. https://doi.org/10.1007/978-3-319-46669-9_207 

1. Harba, M; Badia, J; Serrancolí, G. Impact of mesh refinement on knee contact pressure estimations and musculoskeletal simulation accuracy. XXX Congress of the International Society of Biomechanics. Stockholm (Sweden).

2. Killen, B; Serrancolí, G; D’Hondt, L; Willems, M; Jonkers, I. Novel predictive simulations produce common gait alteration from gait retraining: towards in silico informed rehabilitation for knee osteoarthritis. XXX Congress of the International Society of Biomechanics. Stockholm (Sweden).

3. Harba, M; Badia, J; Serrancolí, G. Optimizing Knee Contact Force Simulations: Impact of Femur Mesh Refinement and Reduced Polynomial Parameterization. XX International Symposium on Computer Simulation in Biomechanics. Uppsala 2025 (Sweden).

4. Truong, M; Serrancolí, G; Artoni, A; Gutierrez-Farewik, E. Predictive simulation of gait in people with incomplete spinal cord injury: A bilevel framework for optimal weight identification with Bayesian optimization and PredSim. XX International Symposium on Computer Simulation in Biomechanics. Uppsala 2025 (Sweden).

5. Loayza, M; Berger, A; Killen, B; Tassani, S; Ojedo, F; Tío, L; Monfort, J; Jonkers, I; Serrancolí, G; Piella, G; Noailly, J. Integrating COMAK with Helen Hayes protocol for enhanced gait analysis in osteoarthritis patients. 30th Congress of the European Society of Biomechanics. Zurich 2025 (Switzerland).

6. Berger, A; Serrancolí, G. Synthetic gait generator: a data-driven framework for creating comprehensive human movement datasets. 30th Congress of the European Society of Biomechanics. Zurich 2025 (Switzerland).

7. Serrancolí G. Modelling of joint pressures in musculoskeletal simulations. Congreso de la Sociedad Ibérica de Biomecánica y Biomateriales, 2024. G. Serrancolí was keynote speaker in this conference.

8. Cordero-Sánchez, J; Bazuelo-Ruiz, B; Pérez-Soriano, P; Serrancolí G. Comparison of Dynamic Prediction Data in Running: Skeletal Model vs. Artificial Neural Network Approach. Congreso de la Sociedad Ibérica de Biomecánica y Biomateriales, 2024. Ontinyent.

9. Killen, B; Serrancolí, G; De Groote, F; Jonkers, I. In-silico informed gait retraining for the treatment of knee osteoarthritis. Anual Meeting of the European Society of Movement Analysis. Oslo 2024 (Norway). https://doi.org/10.1016/j.gaitpost.2024.07.130. 

10. Harba, M; Badia, J; Serrancolí, G. Computationally efficient mesh-based contact models for musculoskeletal simulations. 29th Congress of the European Society of Biomechanics. Ediburgh 2024 (Scotland).

11. Wang, Z.; Serrancolí, G.; Tresch, MA. method to characterize rat hindlimb mechanics using dynamic perturbations. Living Machines 2024, Chicago (USA).

12. Wang, Z.; Tran, S.; Serrancolí, G.; Tresch, M. Exploring stance phase hindlimb dynamics in rats through randomized perturbations. Neuroscience 2023 meeting, 2023. Washington DC (USA). 

13. Serrancoli, G. Efficient musculoskeletal simulations for muscle parameter estimation and movement prediction. Congreso de la Sociedad Ibérica de Biomecánica y Biomateriales, 2023. Barcelona. G. Serrancolí was keynote speaker in this conference.

14. Harba, M.; Badia, J.; Serrancoli, G. A joint contact pressure model for musculoskeletal simulations. Congreso de la Sociedad Ibérica de Biomecánica y Biomateriales, 2023. Barcelona. M. Harba was awarded with an accessit.

15. Morales, J.; Morales , R.; Perelli, S.; Monllau, J.; Sanchez Egea, Antonio J.; Serrancoli, G. Proximal fibular osteotomy vs high tibial osteotomy for treating knee osteoarthritis: an in-silico clinical study on knee joint contact pressure. Congreso de la Sociedad Ibérica de Biomecánica y Biomateriales, 2023. Barcelona.

16. Molas, C.; Margelí, C.; Garcia, A.; Moreno, A.; Mas, A.; Marot, M.; Pamplona, A.; Jordi Torner; Serrancoli, G. Telerehabilitación gamificada para democratizar el acceso a la fisioterapia de las personas con secuelas crónicas post-ictus. Jornadas de Innovación Universitaria InnovaUDIMA con Tecnología Educativa, 2023. Madrid (Spain).

17. Margelí, C.; Molas, C.; Garcia, A.; Mas, A.; Marot, M.; Jordi Torner; Sarrate, R.; Pamplona, A.; Serrancoli, G. Muvity, a physical telerehabilitation system. XPatient Barcelona Congress, 2023. Barcelona.

18. Serrancoli, G.; Tresch, M. Estimation of musculoskeletal parameter values using hindlimb rat models. XXIX Congress of the International Society of Biomechanics, 2023, Fukuoka (Japan).

19. Harba, M.; Badia, J.; Serrancoli, G. Musculoskeletal simulations integrating a smooth knee pressure contact model. XXIX Congress of the International Society of Biomechanics, 2023, Fukuoka (Japan).

20. Cordero, J.; Bazuelo, B.; Pérez, P.; Serrancoli, G. Prediction of GRF and joint moments from different combinations of kinematic data. XXIX Congress of the International Society of Biomechanics, 2023, Fukuoka (Japan).

21. Serrancoli, G.; Tresch, M. Calibration of musculotendon parameters that best predict experimental data in rat hindlimb models. 19th International Symposium on Computer Simulation in Biomechanics, 2023. Kyoto (Japan). 

22. Harba, M.; Badia, J.; Serrancolí, G. Smoothed pressure contact models lead to more accurate results in optimal control problems. 19th International Symposium on Computer Simulation in Biomechanics, 2023. Kyoto (Japan).

23. Morales, J.; Morales , R.; Perelli, S.; Monllau, J.; Sanchez Egea, Antonio J.; Serrancolí, G. Proximal fibular osteotomy vs high tibial osteotomy: an in-silico finite element study. VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering: proceedings of CLAIB-CNIB 2019, October 2-5, 2019, Cancún, México (remote).

24. Harba, M; Badia, J; Serrancolí, G. Development of musculoskeletal simulations with mesh-based contact models. Meeting of the Spanish Chapter of the European Society of Biomechanics 2022. Zaragoza (Spain).

25. Molas-Ferrer, C.; García, A.; Mayans-Gordillo, B.; Margelí, C.; Pamplona, A.; Monràs-Erra, J.; Torner, J.; Alpiste, F.; Serrancolí, G. Motor functionality and pain assessment using a telerehabilitation system for chronic post-stroke subjects. IASP 2022, World Congress on Pain. Toronto (Canada).

26. Morales, J; Perelli, S; Monllau, J.C.; Sánchez-Egea, A.J.; Serrancolí, G. Three-dimensional finite element analysis of proximal fibular vs high tibial osteotomies on knee medial osteoarthritis: a virtual clinical study comparison. World Congress of Biomechanics 2022 (virtual).

27. Serrancoli, G.; Jordi Torner; Perelli, S.; Monllau, J. Estimation of joint contact pressures within musculoskeletal simulations using optimal control methods with gradient-based and automatic differentiation tools. World Congress of Biomechanics 2022 (virtual).

28. Cordero, J; Serrancolí, G. Estimation of ground reaction forces and lower limb joint moments based on artificial neural network during running. World Congress of Biomechanics 2022 (virtual).

29. Cowburn, J.; Baldwin, M.; Serrancoli, G.; Salo, A.; Colyer, S.; Cazzola, D. Optimal fibre length and maximum isometric force are the most in uential parameters when modelling muscular adaptations to unloading using Hill-Type muscle models. World Congress of Biomechanics 2022 (virtual).

30. Serrancoli, G.; Jordi Torner; Perelli, S.; Monllau, J. On the use of mesh-based joint contact models within simulations using automatic differentiation. International Symposium on Computer Methods in Biomechanics and Biomedical Engineering 2021 (virtual).

31. A. García; A. Iriarte; C. Margelí; Mayans, B; Molas, C; Torner, J; Serrancolí, G. Telerehabilitation of post-stroke motor impairment. Congreso Anual de la Sociedad Española de Ingeniería Biomédica 2021. A. García was selected as finalist in the student competition.

32. Serrancolí, G; Perelli, S; Monllau, J.C. A mesh contact model for biomechanical simulations with automatic differentiation. XXVIII Congress of the International Society of Biomechanics. Stockholm, Suecia 2021 (virtual).

33. Serrancoli, G.; Perelli, S.; Monllau, J.C. Evaluation of a mesh-based contact model in optimal control problems using automatic differentiation. 18th International Symposium on Computer Simulation in Biomechanics (virtual).

34. Haralabidis, N.; Serrancoli, G.; Colyer, S.; Salo, A.; Cazzola, D. Isolated technique modifications to enhance sprinting performance. 18th International Symposium on Computer Simulation in Biomechanics (virtual).

35. Cowburn, J; Serrancolí, G; Colyer, S; Pavei, G; Minetti, A; Salo, A; Cazzola, D. Estimating muscle forces and adaptations during plyometric hopping in emulated hypogravity. 26th Congress of the European Society of Biomechanics. Milan, Italia 2021.

36. Rico, R.; Arruda, F.; Serrancolí, G; Santiago, P. Assessment of a markerless motion tracking method to determine body position on the bicycle. 39th Congress of the International Society in Biomechanics in Sports 2021. Cranberra, Australia. (virtual).

37. Torner, J; Serrancolí, G; Ayestaran, I, Alpiste, F; Iriarte, A; Margelí, C; Mayans, B; García, A; Morancho, S; Molas, C. Design and development of biomedical applications for post-stroke rehabilitation subjects. 2021. Recerca i Tecnologia en Enginyeria Gràfica i Disseny a la Universitat Politècnica de Catalunya (Volum 2): 159-171.

38. Serrancoli, G; Sanchez Egea, Antonio J.; Jordi Torner; Kanaan-Izquierdo, S.; Susin, A. Integración de OpenPose y sensores de fuerza ara realizar análisis dinámicos en ciclismo. Congreso de la Red Española de Investigación del Rendimiento Deportivo en Ciclismo y Mujer. Ontinyent 2020 (virtual).

39. Serrancoli, G; Bernet, S.; Ferrer, V. Análisis cinemático inverso en ciclismo: Comparación entre OpenSim y Visual3D. Congreso de la Red Española de Investigación del Rendimiento Deportivo en Ciclismo y Mujer. Ontinyent 2020 (virtual).

40. Haralabidis, N.; Serrancoli, G.; Colyer, S.; Bezodis, I.; Salo, A.; Cazzola, D. Data-tracking and predictive simulations of sprint running. Conference of the International Society of Biomechanics in Sports 2020 (virtual).

41. Serrancoli, G; Falisse, A.; Dembia, C.; Gillis, J.; De Groote, F. The formulation of the foot-ground contact model influences the computation time of biomechanical optimal control problems. Reunión del Capítulo Español de la Sociedad Europea de Biomecánica. Gran Canaria 2019. G. Serrancolí was awarded with a Mention of Excellence. 

42. Serrancoli, G; Bogatikov, P.; Jordi Torner; Monllau, J.; Perelli, S. Integration of OpenCV in an Android app to measure antero-posterior knee translation. Reunión del Capítulo Español de la Sociedad Europea de Biomecánica. Gran Canaria 2019.

43. Falisse, A.; Serrancoli, G; Dembia, C.; Gillis, J.; Jonkers, I.; De Groote, F. Predicting the mechanics and energetics of a variety of human gaits based on complex musculoskeletal models. Congress of the International Society of Biomechanics. Calgary, Canada 2019. A. Falisse was awarded with the David Winter Young Investigator Award.

44. Haralabidis, N.; Serrancoli, G.; Colyer, S.; Bezodis, I.; Salo, A.; Cazzola, D. Estimation of kinematics and ground reaction forces during sprint running. 17th International Symposium on Computer Simulation in Biomechanics. Canmore, Canada 2019.

45. Falisse, A.; Serrancoli, G.; Dembia, C.; Gillis, J.; Jonkers, I.; De Groote, F. Direct collocation, implicit differential equations, algorithmic differentiation: a cocktail for rapid predictive simulations of movement based on complex musculoskeletal models. 17th International Symposium on Computer Simulation in Biomechanics. Canmore, Canada 2019. A Falisse was awarded with the Andrzej Komor New Investigator Award.

46. Haralabidis, N.; Serrancoli, G.; Colyer, S.; Bezodis, I.; Salo, A.; Cazzola, D. Sprinting data-tracking simulation: a direct collocation approach. BASES Biomechanics Division event. Huddersfield, UK 2019.

47. Perelli, S.; Serrancoli, G.; Rodriguez, S.; Martínez, V.; Jordi Torner; Monllau, J. Nuova metodologia per la valutazione oggettiva dell’instabilità anteroposteriore e rotazionale di ginocchio. Comparazione con la valutazione clinica e con le attuali metodiche di misurazione. 7º Congresso Nazionale SIGASCOT 2018. Bologna, Italia 2018.

48. MacLeod, A.; Serrancoli, G.; Toms, A.; Gill, H. The effect of bridging span and fracture healing on the performance of high tibial osteotomy plates. World Congress of Biomechanics. Dublin, Irlanda 2018.

49. Serrancoli, G.; Martínez, V.; Jordi Torner; Perelli, S.; Monllau, J. An image-analysis-based method to identify the anterior-posterior knee translation and evaluate the need to apply extraarticular tenodesis. World Congress of Biomechanics. Dublin, Irlanda 2018. G. Serrancolí was awarded with a Travel Award.

50. Falisse, A.; Serrancoli, G.; Dembia, C.; Song, S.; Jonkers, I.; De Groote, F. Computationally efficient predictive muscle-driven simulations of 3D walking. World Congress of Biomechanics. Dublin, Irlanda 2018.

51. Serrancoli, G.; Falisse, A.; Dembia, C.; De Schutter, J.; De Groote, F. Estimation of human-exoskeleton collaborative movement. World Congress of Biomechanics. Dublin, Irlanda 2018.

52. Serrancoli, G.; Pàmies-Vilà, R. Influence of coordinate and dynamic formulations on solving biomechanical optimal control problems. World Congress of Biomechanics. Dublin, Irlanda 2018.

53. Alabau, S.; Perelli, S.; Serrancoli, G; Martínez, V.; Jordi Torner; Monllau, J. Nueva metodología para la evaluación objetiva de la inestabilidad de rodilla. Comparación con los métodos actuales. 6º Congreso Conjunto AEA-SEROD 2018. Zaragoza 2018.

54. Falisse, A.; Serrancoli, G; Gillis, J.; Dembia, C.; Jonkers, I.; De Groote, F. A framework to solve optimal control problems using automatic differentiation of multibody dynamics in OpenSim. Congress of the International Society of Biomechanics. Pages 35-36. Brisbane, Australia 2017.

55. Serrancoli, G.; De Schutter, J.; De Groote, F. Estimation of human-exoskeleton interaction forces. Congress of the European Society of Biomechanics. Sevilla 2017.

56. MacLeod, A.; Baretta, A.; Carbone, V.; Serrancoli, G.; Emili, L.; Casonato, A.; Gill, H. A novel approach to prospective InSilico clinical trials an automated, paired comparison of high tibial osteotomy plates in 30 patients. Insigneo Showcase 2017. Sheffield, Reino Unido 2017.

57. Serrancoli, G.; De Schutter, J.; De Groote, F. Analysis of optimal control problem formulations in skeletal movement predictions. International Conference on NeuroRehabilitation. Segovia 2016.

58. Wesseling, M.; Serrancoli, G.; Afschrift, M.; Jonkers, I.; De Groote, F. Sit to stand strategy in the presence of muscular weakness. International Symposium on the Neuromechanics of Human Movement. Heidelberg, Alemania 2016.

59. Tassani, S.; Peiret, A.; Bosch, E.; Serrancoli, G.; Noailly, J.; Font-Llagunes, J.M. Influence of inertial forces in multi-scale mechanics of the hip joint. Reunión del Capítulo Español de la Sociedad Europea de Biomecánica. Madrid 2015.

60. Serrancoli, G.; Kinney, A.L.; Fregly, B.J.; Font-Llagunes, J.M. How do in vivo knee contact force data affect calibration of muscle-tendon model parameter values? International Conference on Computational Bioengineering. Barcelona 2015.

61. Serrancoli, G.; Monllau, J.C.; Font-Llagunes, J.M. A comparative study of the muscle synergy patterns in healthy and ACL-deficient subjects. Congress of the International Society of Biomechanics p. 369-371. Glasgow, Reino Unido 2015.

62. Serrancoli, G; Kinney, A.L.; Fregly, B.J.; Font-Llagunes, J.M. Sinergy-based two-level optimization for predicting knee contact forces during walking. Congress of the International Society of Biomechanics p. 283-284. Glasgow, Reino Unido 2015.

63. Serrancoli, G; Kinney, A.L.; Fregly, B.J.; Font-Llagunes, J.M. Can a well-calibrated neuromusculoskeletal model predict knee contact forces accurately over multiple walking cycles? International Symposium on Computer Simulation in Biomechanics p13-14. Edinburgh, Reino Unido 2015.

64. Tassani, S.; Peiret, A.; Bosch, E.; Serrancoli, G; Noailly, J.; Font-Llagunes, J.M. A multi-scale study of the hip joint mechanics: influence of inertial forces. Congress of the European Society of Biomechanics p. 483-484. Praga, República Checa, 2015.

65. Serrancoli, G; Kinney, A.L.; Fregly, B.J.; Font-Llagunes, J.M. The influence of neuromusculoskeletal model calibration method on predicted knee contact forces during walking. ECCOMAS Thematic Conference on Multibody Dynamics p. 1068-1079. Barcelona 2015.

66. Ilzarbe, A.; Serrancoli, G; Font-Llagunes, J.M. A dynamic analysis of an integrated lower limb-orthosis model for interface contact pressures estimation. Reunión del Capítulo Español de la Sociedad Europea de Biomecánica. Castellón 2014.

67. Peiret, A.; Bosch, E.; Serrancoli, G; Noailly, J.; Font-Llagunes, J.M. Multiscale analysis of the hip joint: translate mechanical information from inverse analyses of body motion into boundary loads for finite element calculations of organ/tissue biomechanics. Symposium on Bioengineering and Nanomedicine. Barcelona 2014.

68. Peiret, A.; Bosch, E.; Serrancoli, G; Noailly, J.; Font-Llagunes, J.M. A multi-scale study of the hip joint mechanics using rigid-body inverse dynamics and finite element analysis. World Congress on Computational Mechanics. Barcelona 2014.

69. Serrancoli, G. Analysis of the Force-Sharing Problem in the Biomechanics of Human Motion. Jornada d'Investigadors Predoctorals Interdisciplinària. Barcelona 2014.

70. Serrancoli, G; Walter, J.P.; Kinney, A.L.; Barjau, A.; Fregly, B.J.; Font-Llagunes, J.M. Formulation to predict lower limb muscle forces during gait. Reunión del Capítulo Español de la Sociedad Europea de Biomecánica. Barcelona 2013.

71. Serrancoli, G; Walter, J.P.; Kinney, A.L.; Fregly, B.J.; Font-Llagunes, J.M. Optimization problem formulation for predicting knee muscle and contact forces during gait. International Symposium on Computer Simulation in Biomechanics p. 70-71. Natal, Brasil 2013.

72. Serrancoli, G; Font-Llagunes, J.M.; Barjau, A. Determination of the strategy for solving the muscle force sharing problem in patients suffering ACL rupture. Congreso de Métodos Numéricos en Ingeniería. Bilbao 2013.

73. Serrancoli, G; Font-Llagunes, J.M.; Barjau, A. On the force sharing problem in patients suffering joint pain. Congress of the European Society of Biomechanics. Lisboa, Portugal 2012.

74. Font-Llagunes, J.M.; Arroyo, G.; Serrancoli, G; Romero, F. A powered lower limb orthosis for gait assistance in incomplete spinal cord injured subjects. International Symposium on Applied Sciences in Biomedical and Communication Technologies. Barcelona 2011.