Marco P. Soares dos Santos completed Ph.D in Mechanical Engineering at the University of Aveiro. He started his career by researching in the scope of automatic control, but he has been focused in designing innovative medical devices, namely active bone implants. He has already published more than 40 scientific papers in several international journals and conferences of high scientific prestige in the areas of medical devices, biomechanics, automatic control, sensors and actuators, applied mathematics and energy harvesting, not forgetting the activity in review of scientific works. He is member of the European Society of Biomechanics. He has been a researcher in several projects, three of which focusing on breakthroughs for active hip prostheses. He was already awarded with several scholarships and prizes. Currently he is also assistant professor in the Department of Mechanical Engineering of the University of Aveiro.
Research Interest: Instrumented active implants, electromagnetic stimulation of tissues, bone regeneration, self-powering, control.
Number of Publications: 43
URL of their official website: https://www.ua.pt/dem/person/80381944
Dr. António Pereira has a vast curriculum in industrial projects and in collaboration with society with more than 500 projects designed and produced, worth about 100 million euros. In 1990 he was founding shareholder and Director of Martifer Group (ca. 3500 employees) where he remained for 10 years. Since 2000 he has been a professor and researcher at the University of Aveiro where he has held positions of Board Member and Member of the Executive Committee at the Department of Mechanical Engineering, University of Aveiro. He is currently Director and Researcher in charge of the Research Unit Centre for Mechanical Technology and Automation (TEMA - https://www.ua.pt/tema/#), in which he coordinates more than 100 researchers. Recently, under his responsibility, TEMA is included in the “Portuguese Roadmap of Research Infrastructures of Strategic Relevance”, having been classified by FCT – Fundação para a Ciência e a Tecnologia with the highest rating ("Category 1 - Those that have demonstrated high scientific potential and are considered to have high strategic regional and/or national relevance"), following the reference in https://www.fct.pt/apoios/equipamento/roteiro/index.phtml.en. TEMA was also selected, under its coordination, to be included in the European network of institutions considered to be relevant within the KETs (Key Enabling Technologies), being one of the 7 KET entities in Portugal. This network aims to help small and medium-sized enterprises (SMEs) accelerate the process of marketing their most innovative ideas, identifying partners of excellence in terms of research and technology transfer to society. The Research Centers that are part of this strategic network are chosen according to high levels of quality and quantity of their technological and scientific capacity. Key Enabling Technologies (advanced manufacturing technologies, advanced materials, industrial biotechnology, nanotechnology, etc.) are those that are considered to be innovative and have the potential to promote change in a variety of products and processes in traditional and emerging industries. His field of research focuses on the study of materials, from composites to metals, with 50 articles published in SCI journals, 980 citations and h-index of 17 (scopus). He collaborated in 11 scientific research projects funded by FCT, having been Principal Investigator for 8.
Research Interest: Welding, composite materials, adhesive joints, materials characterization
Centro de Tecnologia Mecânica e Automação https://www.fct.pt/apoios/unidades/avaliacoes/2017/resultados.phtml.pt
URL: https://www.ua.pt/#/pt/p/10317320
List of Publications:
1. Pereira, A. B., Morais, A. B. de. Strength of adhesively bonded stainless steel joints. International Journal of Adhesion and Adhesives Vol. 23, nº4, p. 315-322, 2003, https://doi.org/10.1016/S0143-7496(03)00049-6. 5-Year Impact Factor: 2.736.
2. Pereira, A. B., Morais, A. B. de. Mode II interlaminar fracture of glass/epoxy multidirectional laminates. Composites Part A, Vol. 35 (2), p. 265-272, 2004, https://doi.org/10.1016/j.compositesa.2003.09.028. 5-Year Impact Factor: 3.946.
3. Pereira, A. B., Morais, A. B. de, A. T. Marques, P. T. de Castro. Mode II interlaminar fracture of carbon/epoxy multidirectional laminates. Composites Science and Technology, Vol. 64, nº 10-11, p. 1653-1659, 2004, https://doi.org/10.1016/j.compscitech.2003.12.001. 5-Year Impact Factor: 4.480.
4. M. F. S. F. de Moura, Pereira, A. B., Morais, A. B. de. Influence of intralaminar cracking on the apparent interlaminar mode I fracture toughness of cross-ply laminates. Fatigue and Fracture of Engineering Materials and Structures, Vol. 27, pp. 759-766, 2004, doi: 10.1111/j.1460-2695.2004.00739.x. Impact Factor: 1.058.
5. Pereira, A. B., Morais, A. B. de. Mode I interlaminar fracture of carbon/epoxy multidirectional laminates. Composites Science and Technology. Vol. 64, nº 13-14, p. 2261-2270, 2004, https://doi.org/10.1016/j.compscitech.2004.03.001. 5-Year Impact Factor: 4.480.
6. Pereira, A. B., Morais, A. B. de, M. F. S. F. de Moura, A. G. Magalhães. Mode I interlaminar fracture of woven glass/epoxy multidirectional laminates. Composites Part A. Vol. 36, nº 8, p. 1119-1127, 2005, https://doi.org/10.1016/j.compositesa.2005.01.006. 5-Year Impact Factor: 3.946.
7. A. B. Pereira, A. B. de Morais, M. F. S. F. de Moura, A. G. Magalhães. Mode i interlaminar fracture of carbon/epoxy multidirectional laminates (Conference paper). 11th International Conference on Fracture (ICF11), Turin, Italy, 2005.
8. Morais, A. B. de, Pereira, A. B. Mixed mode I + II interlaminar fracture of glass/epoxy multidirectional laminates - Part 1: Analysis. Composites Science and Technology. Vol. 66, nº 13, p. 1889-1895, 2006, https://doi.org/10.1016/j.compscitech.2006.04.006. 5-Year Impact Factor: 4.480.
9. Pereira, A. B., Morais, A. B. de. Mixed mode I + II interlaminar fracture of glass/epoxy multidirectional laminates - Part 2: Experiments. Composites Science and Technology. Vol. 66, nº 13, p. 1896-1902, 2006, https://doi.org/10.1016/j.compscitech.2006.04.008. 5-Year Impact Factor: 4.480.
10. Morais, A. B. de, Pereira, A. B. Application of the effective crack method to mode I and mode II interlaminar fracture of carbon/epoxy unidirectional laminates. Composites Part A. Vol. 38, nº 3, p. 785-794, 2007, https://doi.org/10.1016/j.compositesa.2006.09.001. 5-Year Impact Factor: 3.946.
11. Morais, A. B. de, Pereira, A. B. Interlaminar fracture of multidirectional glass/epoxy laminates under mixed mode I + II loading. Mechanics of Composite Materials, Vol. 43, nº 3, p. 233-244, 2007. Impact Factor: 0.451.
12. Morais, A. B. de, Pereira, A. B., J. P. Teixeira, N. C. Cavaleiro. Strength of epoxy adhesive bonded stainless steel joints. International Journal of Adhesion and Adhesives, Vol. 27, nº 8, p. 679-686, 2007, https://doi.org/10.1016/j.ijadhadh.2007.02.002. 5-Year Impact Factor: 2.736.
13. Pereira, A. B., Morais, A. B. de. Mixed mode I + II interlaminar fracture of carbon/epoxy laminates. Composites Part A, Vol. 39, nº 2, pp. 322–333, 2008, https://doi.org/10.1016/j.compositesa.2007.10.013. 5-Year Impact Factor: 3.946.
14. Morais, A. B. de, Pereira, A. B. Mixed mode II + III interlaminar fracture of carbon/epoxy laminates. Composites Science and Technology, Vol. 68, nº 9, pp. 2022–2027, 2008, https://doi.org/10.1016/j.compscitech.2008.02.023. 5-Year Impact Factor: 4.480.
15. Pereira, A. B., Morais, A. B. de. Mixed-mode I + III interlaminar fracture of carbon/epoxy laminates. Composites Part A, Vol. 40, Issue 4, pp. 518–523, 2009, https://doi.org/10.1016/j.compositesa.2009.02.003. 5-Year Impact Factor: 3.946.
16. Morais, A. B. de, Pereira, A. B. Mode III interlaminar fracture of carbon/epoxy laminates using a four-point bending plate test. Composites Part A, Vol. 40, Issue 11, pp. 1741–1746, 2009, https://doi.org/10.1016/j.compositesa.2009.08.009. 5-Year Impact Factor: 3.946.
17. Morais, A. B. de, Pereira, A. B., Moura, M.F.S.F. de Magalhães, A.G. Mode III interlaminar fracture of carbon/epoxy laminates using the edge crack torsion (ECT) test. Composites Sc. Tech., Vol. 69 (5), pp. 670–676, 2009, https://doi.org/10.1016/j.compscitech.2008.12.019. 5-Year Impact Factor: 4.480.
18. Neves, V. V., Morais, A. B. de. Pereira, A. B., Faria, R. D. Compression behavior of woven glass/epoxy specimens using a new end-loaded hybrid specimen. Polymer Composites, Vol. 32, Issue 3, pp. 491–496, 2011, DOI: 10.1002/pc.21071. Impact Factor: 1.455.
19. Pereira, A. B., Morais, A. B. de, Moura, M. F. S F. de. Design and analysis of a new six-point edge crack torsion (6ECT) specimen for mode III interlaminar fracture characterisation. Composites Part A, Vol. 42, Issue 2, pp. 131–139, 2011, https://doi.org/10.1016/j.compositesa.2010.10.013. 5-Year Impact Factor: 3.946.
20. Banea, M. D., Sousa, F. S. M., Silva L. F. M., Campilho, R. D. S. G., de Bastos Pereira, A. M. Effects of Temperature and Loading Rate on the Mechanical Properties of a High Temperature Epoxy Adhesive. Journal of Adhesion Science and Technology, Vol. 25, Issue 18, pp. 2461–2474, 2011, http://dx.doi.org/10.1163/016942411X580144. 5-Year Impact Factor: 1.153.
21. Morais, A. B. de, Pereira, A. B., Moura, M. F. S F. de. Mode III interlaminar fracture of carbon/epoxy laminates using the Six-Point Edge Crack Torsion (6ECT). Composites Part A, Vol. 42, Issue 11, pp. 1793–1799, 2011, https://doi.org/10.1016/j.compositesa.2011.08.002. 5-Year Impact Factor: 3.946.
22. Macedo, F. S., Pereira, A. B., Morais, A. B. de. Mixed Bending-Tension (MBT) test for mode I interlaminar and intralaminar fracture. Composites Science and Technology, Vol. 72, Issue 9, pp. 1049–1055, 2012, https://doi.org/10.1016/j.compscitech.2012.03.023. 5-Year Impact Factor: 4.480.
23. Dourado, N., Moura, M. F. S. F. de, Morais, A. B. de, Pereira, A. B. Bilinear approximations to the mode II delamination cohesive law using an inverse method. Mechanics of Materials, Vol. 49, pp. 42–50, 2012, doi.org/10.1016/j.mechmat.2012.02.004. 5-Year Impact Factor: 2.575.
24. Morais, A.B. de, Cardoso, C.M., Pereira, A. B. Evaluation of in-plane ply shear properties from unidirectional plate torsion tests. Composites Part A, Vol. 53, pp. 168–175, 2013, doi.org/10.1016/j.compositesa.2013.06.012. 5-Year Impact Factor: 3.946.
25. Borodachenkova, M., Wen, W., Barlat, F., Pereira, A., Grácio, J.J. Numerical simulation of the mechanical response during strain path change: application to Zn alloys. Procedia Engineering, Vol. 81, pp. 1300-1305, 2014, doi.org/10.1016/j.proeng.2014.10.147.
26. Jardin, R. T., Fernandes, F. A. O., Pereira, A. B., Alves de Sousa, R. J. Static and dynamic mechanical response of different cork agglomerates. Materials and Design, Vol. 68, pp. 121-126, 2015, doi.org/10.1016/j.matdes.2014.12.016. 5-Year Impact Factor: 3.219.
27. Morais, A. B. de, Pereira, A. B., Moura, M. F. S. F. de, Silva, F. G. A., Dourado, N. Bilinear approximations to the mixed-mode I–II delamination cohesive law using an inverse method. Composite Struct., Vol. 122, pp. 361-366, 2015, doi.org/10.1016/j.compstruct.2014.11.058. 5-Year Impact Factor: 3.442.
28. Borodachenkova, M., Barlat, F., Wen, W., Bastos, A., Gracio, J.J. A microstructure-based model for describing the material properties of Al-Zn alloys during high pressure torsion. Int. Journal of Plasticity, Vol. 68, pp. 150-163, 2015 doi.org/10.1016/j.ijplas.2014.01.009. 5-Year Impact Factor: 5.9.
29. Wen, W., Borodachenkova, M., Pereira, A., Barlat, F., Gracio, J. Hardening behavior and texture evolution of TWIP steel during strain path change. IOP Conference Series: Materials Science and Engineering, Vol. 82 (1), 2015, doi:10.1088/1757-899X/82/1/012089
30. Borodachenkova, M., Wen, W., Barlat, F., Pereira, A., Grácio, J. Modeling of the mechanical behavior and texture evolution in Zn alloys during reverse shear loading. Journal of Mat. Processing Tech., Vol. 224, pp. 143-148, 2015, doi.org/10.1016/j.jmatprotec.2015.04.021
31. Fernandes, F.A.O., Jardin, R.T., Pereira, A.B., Alves de Sousa, R.J. Comparing the mechanical performance of synthetic and natural cellular materials. Materials and Design, Vol. 82, pp. 335-341, 2015, DOI: 10.1016/j.matdes.2015.06.004
32. Sousa, J.A., Pereira, A.B., Martins, A.P., de Morais, A.B. Mode II fatigue delamination of carbon/epoxy laminates using the end-notched flexure test. Composite Structures, Vol. 134, pp. 506-512, 2015, DOI: 10.1016/j.compstruct.2015.08.002. 5-Year Impact Factor: 3.5.
33. Xue, X., Liao, J., Vincze, G., Pereira, A.B., Barlat, F. Experimental assessment of nonlinear elastic behaviour of dual-phase steels and application to springback prediction. International Journal of Mechanical Sciences, Vol. 117, pp. 1-15, 2016, doi: 10.1016/j.ijmecsci.2016.08.003
34. Xue, X., Liao, J., Vincze, G., Pereira, A.B. Experimental validation of numerical model for asymmetric deep drawing of DP780 steel sheet using digital image correlation. Journal of Physics: Conference Series 734, Part B, 2016, doi:10.1088/1742-6596/734/3/032102
35. F.A.O. Fernandes J.P. Tavares, R.J. Alves de Sousa, A.B. Pereira, J.L. Esteves. Manufacturing and testing composites based on natural materials. Procedia Manufacturing, Vol. 13, pp 227-234, 2017, https://doi.org/10.1016/j.promfg.2017.09.055
36. F.A.O. Fernandes, D.F. Oliveira, A.B. Pereira. Optimal parameters for laser welding of advanced high-strength steels used in the automotive industry. Procedia Manufacturing, Vol. 13, pp 227-234, 2017, https://doi.org/10.1016/j.promfg.2017.09.052
37. Liao, J., Sousa, J.A., Lopes, A.B., Xue, X., Barlat, F., Pereira, A.B. Mechanical, microstructural behavior and modeling of dual phase steels under complex deformation paths, International Journal of Plasticity, Vol. 93, pp. 269-290, 2017, doi: 10.1016/j.ijplas.2016.03.010
38. Xue, X., Liao, J., Vincze, G., Pereira, A.B. Control strategy of twist springback for aluminium alloy hybrid thin-walled tube under mandrel-rotary draw bending. Int J Mater Form, 2017. doi:10.1007/s12289-017-1346-7
39. Liao, J., Sousa, Xue, X., Lee, M-G., Barlat, F., Vincze, G., Pereira, A.B. Constitutive modeling for path-dependent behavior and its influence on twist springback. International Journal of Plasticity, Vol. 93, pp 64-88, 2017. doi.org/10.1016/j.ijplas.2017.02.009
40. Silva, D., Mendes, J.C., Pereira, A.B., Gégot, F., Alves, L.N. Measuring torque and temperature in a rotating shaft using commercial saw sensors. MDPI - Sensors, Vol. 17(7), p. 1547, 2017, doi:10.3390/s17071547
41. P.T. Santos, S. Pinto, P.A.A.P. Marques, A.B. Pereira, R.J. Alves de Sousa, Agglomerated cork: A way to tailor its mechanical properties, Composite Structures, Vol. 178, pp 277-287, 2017. doi.org/10.1016/j.compstruct.2017.07.035
42. Xin Xue, António B. Pereira, José Amorim, Juan Liao. Effects of Pulsed Nd:YAG Laser Welding Parameters on Penetration and Microstructure Characterization of a DP1000 Steel Butt Joint, Metals, Vol. 7(8), 292, 2017. doi:10.3390/met7080292
43. Francisco J. M. Q. De Melo, António B. Pereira, Alfredo B. Morais.The Simulation of an Automotive Air Spring Suspension Using a Pseudo-Dynamic Procedure, Applied sciences, Vol. 8(7), 1049, 2018. doi: 10.3390/app8071049
44. Xin Xue, Gabriela Vincze, António B. Pereira, Jianyi Pan, Juan Liao. Assessment of Metal Flow Balance in Multi-Output Porthole Hot Extrusion of AA6060 Thin-Walled Profile, Metals, Vol. 8(6), 462, 2018. doi: 10.3390/met8060462
45. Xin Xue 1, António Pereira, Gabriela Vincze, Xinyong Wu, Juan Liao. Interfacial Characteristics of Dissimilar Ti6Al4V/AA6060 Lap Joint by Pulsed Nd:YAG Laser Welding, Metals, Vol. 9(1), 71, 2019. doi: 10.3390/met9010071
46. António B. Pereira, Fábio A.O. Fernandes and Bruno Filipe. Effect of Deformation Path on the Microstructure and Mechanical Behavior of TWIP980 Steel. J. Manuf. Mater. Process. 2019, 3(1), 12. doi: 10.3390/jmmp3010012
47. António B. Pereira, Ana Cabrinha, Fábio Rocha, Pedro Marques, Fábio A. O. Fernandes, Ricardo J. Alves de Sousa. Dissimilar Metals Laser Welding between DP1000 Steel and Aluminum Alloy 1050. Metals, Vol. 9(1), 102, 2019.doi: 10.3390/met9010102
48. António B. Pereira 1, Fábio A.O. Fernandes, Alfredo B. de Morais, Pedro Carvalhoso. Development of a Delamination Fatigue Testing Machine for Composite Materials. Machines, Vol. 7(2), 27, 2019. doi: 10.3390/machines7020027
49. Shanshan Chen, Juan Liao, Hongliang Xiang, Xin Xue, António B. Pereira. Pre-strain Effect on Twist Springback of a 3D P-Channel in Deep Drawing. Journal of Materials Processing Technology, 2019. https://doi.org/10.1016/j.jmatprotec.2019.05.005
50. Lingala Syam Sundar, Manoj K. Singh, António M.B. Pereira and Antonio C.M. Sousa. The Cobalt Oxide-Based Composite Nanomaterial Synthesis and Its Biomedical and Engineering Applications. Intexhopen, 2019. DOI: 10.5772/intechopen.88272
Seyed Ehsan Razavi (b. Sep 05, 1981) received his BSc in Electrical Engineering (2006), MSc in Control Engineering (2008), PhD in Control Engineering (2014). Now he is Assistant Professor of Electrical Engineering Department in Islamic Azad University, Mashhad Branch, Mashhad, Iran. His current research interests are Control Theory,Biomedical Engineering, Nanoparticles,Image Processing and Hyperthermia.He has authored several book chapters and published more than 22 papers in journals and conferences.
Research Interest: Control Systems, Control of Biological Systems, Biomedical Engineering , Hyperthermia, Large Scale Systems , Nanoparticles.
[1] S. Ehsan Razavi, Hamed Khodadadi, "Medical Brain Images Segmentation Using a Graph Based Method', BRAIN. Broad Research in Artificial Intelligence and Neuroscience,Vol.10,Issue.2,(2019-In Press). (ISI)
[2] S. Ehsan Razavi, Mohsen Ghodsi, Hamed Khodadadi," Voltage Stability Enhancement Along with Line Congestion Reduction Using UPFC and Wind Farm Allocation and Sizing by Two Different Evolutionary Algorithms", Lecture Notes in Electrical Engineering,Springer,Vol.480, pp 497-508,(2018).(ISI)
[3] S. Ehsan Razavi, " A Neural Controller for Online Laser Power Adjustment during the Heat Therapy Process in the Presence of Nanoparticles" , Australasian Physical & Engineering Sciences in Medicine – Springer,VOL 17,Issues65 (2017). ( ISI)
[4] S. Ehsan Razavi ," A Closed Loop Control Approach for Online Laser Power Adjustment during Heat Therapy Process in the Presence of Nanoparticles", Lasers in Engineering, PHILADELPHIA,University, USA,VOL 32- Number 1-3(2016).( ISI)
[5] S. Ehsan Razavi,Mohammad Ali Nekoui ,Mohammad Reza Jahed-Motlagh,"A Novel Approach to Control the Temperature of Nanoparticles’ Targeted Site", Journal of Computational and Theoretical Nanoscience- American Scientific Publishers ,Vol 12-492-500 (2015). (ISI)
[6] Alireza Alfi, S.Ehsan Razavi and Amir Hassannia," GA-Based Fuzzy State Feedback Controller applied to a Nonlinear Power System", The Journal of American Science, 2012.(ISI)
[7] Hamed Khodadadi, S. Ehsan Razavi and Hossein Ahmadi-Noubari," A Comparison between Neural Networks and Wavelet Networks in Nonlinear System Identification",
Research Journal of Applied Sciences, Engineering and Technology,2012.(ISI)
[8] S. Ehsan Razavi, Abdollah Babaei,"New Technique to improve Power System Stabilizer performance by Genetic Algorithm",",The Journal of American Science, 2011. (ISI)
[9] S. Ehsan Razavi, A. Babaei," Modification of IEEE Model for Metal Oxide Arresters Against Transient Impulses Using Genetic Algorithms",Australian Journal of Basic and Applied Sciences, 2011.(ISI)
[10] S. Ehsan Razavi, "Shift Register Design Using D-Flip flop with Low Power Consumption and High Speed", International Journal of Science and Advanced Technology, 2011.
[11] S. Ehsan Razavi , Hamed Khodadadi, M.Nasser Moghaddasi," Signal Processing and Pattern Recognition Using Wavelet Transform" International Journal of Science and Advanced Technology, 2011.
[12] Alireza Alfi, Alireza Khosravi, Seyyed Ehsan Razavi," bee algoritm based nolinear optimal control applied to a continuous stirred –tank chemical reactor", Global Journal of Pure & Applied Science and Technology,2011.
[13] S. Ehsan Razavi, M. Ali Nekoui and Mohammad Ravari "Near optimum control of large scale systems:Synchronous turbo generator system as a case study", International Review of Automatic Control, 2009.
[14] S. Ehsan Razavi, Hooshang Aminelahi" The near-optimum rules for linear time, large scale systems", European Journal of Scientific Research, 2009.
conference Papers:
[1] S. Ehsan Razavi,"A New Method to Design Aircraft Controller for Improving Longitudinal Maneuvers Capability", 91st International conferences on Engineering and Natural Science (ICENS 2016), ISBN: 978-93-86083-34-0.
[2] Seyed Ehsan Razavi,"Medical image of region using graph-based method", The 2nd International Conference on Science & Engineering, 18 th of March 2016 –Istanbul-Turkey.
[3] S. Ehsan Razavi; Javad Royaei; Mehdi Bahadorzadeh," Design a low current and high speed shift register based on D type flip flop", The Fourth International Conference on e-Technologies and Networks for Development (ICeND2015)-IEEE .
[4] S. Ehsan Razavi, Mehdi Bahadorzade & Hossein Bolandpour , “Application of Signal Processing and Pattern Recognition By Wavelet Transform”, The Third International Conference on Informatics Engineering and Information Science Lods University of Technology, Poland September 22-24, 2014.
[5] S. E. Razavi, M. R. Jahedmotlagh, A. Shiri and H. Amin Elahi “Near optimum control of large scale systems: Synchronous turbo generator system as a case study”, International University Power Engineering Conference (Upec 2007).
[6] S.Ehsan Razavi,A.Babaei, S.A.Kamali and A. Gholami “Performance Improvement of Power System Stabilizer by Genetic Algorithm for One Machine Infinite Bus System”, International University Power Engineering Conference(Upec 2007).
Books :
1. S.Ehsan Razavi ,"Linear Control System", ISBN:978-600-6894-09-6,Mashhad,2013.
November 1999 to date: Researcher (1999 -2004), Associate Prof. (2005-to date) at “Mediterranea” University if Reggio Calabria. 1994: Master degree in Civil Engineering, “Mediterranea” University if Reggio Calabria. 2013: Degree in Mathematics, University of Messina. 2018: Master degree in Mathematics, University of Messina. 1999: PhD in Electronic Engineering. LANGUAGES: English (B2) French (C1).
Research Interest: MEMS/NEMS, Magnetorheological Fluids, Image and Signal Processing
List of Publications: (the most recents): 1. Mario Versaci, Antonino Cutrupi, Annunziata Palumbo (2021). A Magneto-Thermo-Static Study of a Magneto-Rheological Fluid Damper: A Finite Element Analysis. IEEE TRANSACTIONS ON MAGNETICS, vol. 57, ISSN: 0018-9464, doi: 10.1109/TMAG.2020.3032892 2. Giovanni Angiulli, Mario Versaci, Salvatore Calcagno (2020). Computation of the Cutoff Wavenumbers of Metallic Waveguides with Symmetries by Using a Nonlinear Eigenproblem Formulation: A Group Theoretical Approach. MATHEMATICS, vol. 8, p. 1-20, ISSN: 2227-7390, doi: 10.3390/math8040489 3. Giovanni Angiulli, Mario Versaci, Salvatore Calcagno, Paolo Di Barba (2020). Quick Retrieval of Effective Electromagnetic Metamaterial Parameters by Using a Multi-fidelity Surrogate Modelling Approach. THE EUROPEAN PHYSICAL JOURNAL. APPLIED PHYSICS, ISSN: 1286-0042, doi: 10.1051/epjap/2020200014 4. Giovanni Angiulli, Salvatore Calcagno, Domenico De Carlo, Filippo Laganà, Mario Versaci (2020). Second-Order Parabolic Equation to Model, Analyze, and Forecast Thermal-Stress Distribution in Aircraft Plate Attack Wing–Fuselage. MATHEMATICS, vol. 8, p. 1-21, ISSN: 2227-7390, doi: 10.3390/math8010006 5. Mario Versaci, Alessandra Jannelli, Giovanni Angiulli (2020). Electrostatic Micro-Electro-Mechanical-Systems (MEMS) Devices: A Comparison Among Numerical Techniques for Recovering the Membrane Profile. IEEE ACCESS, vol. 8, p. 125874-125886, ISSN: 2169-3536, doi: 10.1109/ACCESS.2020.3008332 6. Mario Versaci, Giovanni Angiulli (2020). Electrostatic Capacity of a Metallic Cylinder: Effect of the Moment Method Discretization Process on the Performances of the Krylov Subspace Techniques. MATHEMATICS, vol. 8, p. 1-37, ISSN: 2227-7390, doi: 10.3390/math8091431 - Articolo in rivista 7. Mario Versaci, Giovanni Angiulli, Alessandra Jannelli (2020). Recovering of the Membrane Profile of an Electrostatic Circular MEMS by a Three-Stage Lobatto Procedure: A Convergence Analysis in the Absence of Ghost Solutions. MATHEMATICS, vol. 8, p. 1-19, ISSN: 2227-7390, doi: 10.3390/math8040487 8. Mario Versaci, Giovanni Angiulli, Fabio La Foresta (2020). A Modified Heart Dipole Model for the Generation of Pathological ECG Signals. COMPUTATION, vol. 8, ISSN: 2079-3197, doi: 10.3390/computation8040092 9. Mario Versaci, Paolo Di Barba, Francesco Carlo Morabito (2020). Curvature-Dependent Electrostatic Field as a Principle for Modelling Membrane-Based MEMS Devices. A Review. MEMBRANES, vol. 10, ISSN: 2077-0375 10. Paolo Di Barba, Luisa Fattorusso, Mario Versaci (2020). Curvature Dependent Electrostatic Field in the Deformable MEMS Device: Stability and Optimal Control. COMMUNICATIONS IN APPLIED AND INDUSTRIAL MATHEMATICS, vol. 11, p. 35-54, ISSN: 2038-0909, doi: 10.2478/caim-2020-003 11. VERSACI, Mario, Palumbo A (2020). Magnetorheological Fluids: Qualitative comparison between a mixture model in the Extended Irreversible Thermodynamics framework and an Herschel–Bulkley experimental elastoviscoplastic model. INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, vol. 118, p. 1-13, ISSN: 0020-7462, doi: 10.1016/j.ijnonlinmec.2019.103288 12. Versaci Mario, Angiulli Giovanni, Di Barba Paolo, Morabito Francesco Carlo (2020). Joint use of eddy current imaging and fuzzy similarities to assess the integrity of steel plates. OPEN PHYSICS, vol. 18, p. 230-240, ISSN: 2391-5471, doi: 10.1515/phys-2020-0159 13. Paolo Di Barba, Luisa Fattorusso, Mario Versaci (2019). A 2D Non-Linear Second-Order Differential Model for Electrostatic Circular Membrane MEMS Devices: A Result of Existence and Uniqueness. MATHEMATICS, vol. 7, p. 1-18, ISSN: 2227-7390, doi: 10.3390/math7121193 14. VERSACI M, Angiulli G, Fattorusso L, Jannelli A (2019). On the Uniqueness of the Solution for a Semi-Linear Elliptic Boundary Value Problem of the Membrane MEMS Device for Reconstructing the Membrane Profile in Absence of Ghost Solutions. INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, vol. 109, p. 24-31, ISSN: 0020-7462, doi: 10.1016/j.ijnonlinmec.2018.10.014 15. Angiulli G, Jannelli A, Morabito Francesco Carlo, Versaci M (2018). Reconstructing the membrane detection of a 1D electrostatic-driven MEMS device by the shooting method: convergence analysis and ghost solutions identification. COMPUTATIONAL AND APPLIED MATHEMATICS, vol. 34, p. 133-146, ISSN: 0101-8205, doi: 10.1007/s40314-017-0564-4 16. Versaci M., La Foresta F., Morabito F. C., Angiulli G. (2018). A fuzzy divergence approach for solving electrostatic identification problems for NDT applications. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, vol. 57, p. 133-146, ISSN: 1383-5416, doi: 10.3233/JAE-170043 17. Angiulli G, De Carlo D, Sgrò A, VERSACI M, Morabito Francesco Carlo (2017). Accurate modelling of lossy SIW resonators using a neural network residual kriging approach. IEICE ELECTRONICS EXPRESS, vol. 14, p. 1-6, ISSN: 1349-2543, doi: 10.1587/elex.14.20170073 - 18. Di Barba P, VERSACI, Mario, FATTORUSSO, Luisa Angela Maria (2017). Electrostatic Field in Terms of Geometric Curvature in Membrane MEMS Devices. COMMUNICATIONS IN APPLIED AND INDUSTRIAL MATHEMATICS, vol. 8, p. 165-184, ISSN: 2038-0909, doi: 10.1515/caim-2017-0009 - 19. Versaci M, Morabito Francesco Carlo, Angiulli G (2017). Adaptive Image Contrast Enhancement by Computing Distances into a 4-Dimensional Fuzzy Unit Hypercube. IEEE ACCESS, vol. 5, p. 26922-26931, ISSN: 2169-3536, doi: 10.1109/ACCESS.2017.2776349 20. MORABITO, Francesco Carlo, Campolo M, Mammone N, Franceschetti S, Tagliavini F, Gambardella A, Cianci V, Ferlazzo E, Aguglia U, VERSACI, Mario, Sofia V, Fatuzzo D, Labate A, Mumoli L, Tripodi GG, Gasparini S, Sueri C (2016). Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, vol. 26, p. 1-15, ISSN: 0129-0657, doi: 10.1142/S0129065716500398
Jian Wu received his Ph.D. at Harbin Institute of Technology. Then, he served as a post-doctoral fellow at Harbin Institute of Technology from 2011-2014 Harbin Institute of Technology.
Research Interest: mechanical engineering, material characterization and evaluation, finite element analysis, material tribology of soft robotics, etc.
URL: http://homepage.hit.edu.cn/wujianwh
Grants: He has carried out 15 projects, such as National defense 973, Shandong province independent innovation major project and Enterprise cooperation projects. Such as Shandong Provincial Natural Science Foundation Youth Program (ZR2018QEE004), Shandong Key Research and Development Program (2019GGX102051), National Natural Science Foundation of China (52075119),etc.
List of Publications: Some Publications: 1) Wu Jian*, etc. Effect of temperature on wear performance of aircraft tire tread rubber. Polymer Testing, 2019, 79: 106037. 2) Wu Jian*, etc. Investigation on Wet Skid Resistance of Tread Rubber. Experimental Techniques, 2019, 43:81-89. 3) Wu, Jian*, et al. Effect of combined UV thermal and hydrolytic aging on micro-contact properties of silicone elastomer. Polymer Degradation & Stability 151(2018):126-135. 4) Wu, Jian*, et al. New method for studying the macro-micro contact properties between smooth metal and silicone rubber. International Journal of Advanced Manufacturing Technology 96(2018):1761-1767. 5) Wu, Jian*, et al. Prediction of tread pattern block deformation in contact with road. Polymer Testing 58(2017):208-218. 6) Wu, Jian*, et al. Thermal oxidation ageing effects on silicone rubber sealing performance. Polymer Degradation & Stability 135(2017): 43-53. 7) Su, Benlong, Wu, Jian* et al. Modeling of truck tire curing process by an experimental and numerical method. Iranian Polymer Journal 24(2015):1-11. 8). Wu, Jian*., et al. Experimental and Numerical Studies on Tire Tread Block Friction Characteristics Based on a New Test Device. Advances in Materials Science & Engineering 2014.4(2014):1-9. 9) Wu, Jian*., et al. Effect of curing time on mechanical and dynamic mechanical properties of butyl rubber. Materials Research Innovations 19(2015):148-152. 10) Wu, Jian*, et al. Research on Vulcanization Process Simulation of Butyl Rubber Based on A New Characterization Model of Curing Degree. Progress in Rubber Plastics Recycling Technology 30(2014):237-248.
Dr. Nicola Pellegrini is currently an assistant professor at University of Brescia. He has been involved in projects related to integrated mechatronic systems, product development, virtual factory modeling, motion planning and soft computing simulation. He is author of articles published in international journals and conferences. He has collaborated to National and European research programs and projects funded by private companies. Nicola Pellegrini is member of the ASME (American Society of Mechanical Engineers) and IFToMM Italy (International Federation for the Promotion of Mechanism and Machine Science).
Research Interest: Robotics; Diagnostics and prognostics; Reliability; Mechatronics; Vibrations
Biography: Dr Xing-Gang Yan received the B.Sc. degree from Shaanxi Normal University, in 1985, the M.Sc. degree from Qufu Normal University in 1991, and the Ph.D. degree of engineering from Northeastern University, China in 1997. Currently, he is Associate Professor of Control Engineering at the University of Kent, United Kingdom. He worked as a Research Fellow/Research Associate in the Northwestern Polytechnical University, University of Hong Kong, China, Nanyang Technological University, Singapore and the University of Leicester, United Kingdom. He was a Lecturer in Qingdao University, China from 1991 to 1994. He is the Editor-In-Chief of the International Journal of Engineering Research and Science & Technology. He serves as a member of the Editorial Board of several engineering journals and a member of TPC for several conferences. His research interests include sliding mode control, decentralised control, fault detection and isolation, nonlinear system and time delay system with applications. He has published three books, five invited book chapters and over 170 referred papers in these research areas.
Research Interest: Control Theory and Control Engineering including sliding mode techniques, decentralised control, fault detection and fault tolerant control with applications in mobile robot system, robot arm control and vehicle control.
Research Interest:Biomedical Robotics, Rehabilitation
Robotics, Assistive Robotics, Human-Machine Interfaces, Control Techniques, Human
Motor Control, ICT Systems for Tele Rehabilitation and Telemonitoring Applications.
Filippo Cavallo, MScEE, Phd in Bioengineering, is Assistant Professor at the BioRobotics Institute of Scuola Superiore Sant’Anna, (Pisa, Italy), focusing on cloud and social robotics, wireless and wearable sensor systems, biomedical processing, acceptability and ICT roadmapping. He participated in various National and European projects and currently is principal investigator of the DAPHNE Project and Work Package responsible in TransSafe (AAL-JP) and Centauro (Tuscany Region). Recently he was also project manager of Robot-Era, AALIANCE2 and Parkinson Project. He was visiting researcher at the the EndoCAS Center of Excellence, Pisa, Italy working in Computer Assisted Surgery (2005-2007); at the Takanishi Lab, Waseda University, Tokyo, Japan working on wireless sensor network (2007); at Tecnalia Recerch Center, Basque Country, Spain working on wearable sensor system for AAL. He was granted from the International Symposium of Robotics Research Committee as Fellowship Winner for best PhD thesis in Robotics (2007); from the Regional POR FSE 2007-2013 for a 3-years Research position at The BioRobotics Institute, Scuola Superiore Sant’Anna, Pontedera, Italy (2010-2013); from the ACCESS-IT 2009 for the Good Practise Label in Alzheimer Project (2009); from the Well-Tech Award for Quality of Life with the Robot-Era Project (2014); from the SMAU Award for Quality of Life with the Robot-Era Project (2014) and from iNEMO Challenge from STMicroelectronics (2015). In 2016 he was also chair of the Italian Forum of Ambient Assisted Living and related Summer School in Italy. He is author of various papers on conferences and ISI journals.
Research Interest: Service robotics, Cloud robotics, wearable sensors, IoT, AI, healthcare application, Industry 4.0
Biography: Dr. Hao-Xian Yang has received his PhD in Sun Yat-sen University Cancer Center during the period of 1999- 2004. Currently, he is working as Chief physician, Department of Thoracic Surgery in Sun Yat-sen University Cancer Center, PR China. He has authored 33 research articles.
Research Interest: Minimally invasive thoracic surgery, especially robotic thoracic surgery; multidisciplinary and individualized therapy of thoracic cancers, early detection of thoracic cancers, and thoracic cancer staging
Research Interest:Computational
Intelligence, Machine Learning, Intelligent Data Modeling and Analysis, Pattern
Recognition, Biomedical Signal Processing, Modeling and Control of Biomedical
Systems, Human-Machine Systems, Brain-Machine Interaction and Neuroergonomics.
Biography: Felipe Jiménez obtained his Master Degree in Industrial Engineering from the Technical University of Madrid (UPM), his Master Degree in Physical Science from the National University of Distance Education of Spain and his PhD in Mechanical Engineering from the UPM in 2001, 2005 and 2006, respectively. Currently, he is Full Professor at the UPM and Head of the Intelligent Systems Unit of the University Institute for Automobile Research of the UPM. He has been involved in several research projects and has developed engineering studies for relevant national and international firms. His fields of interest are the automotive industry, vehicle safety, mechanical design, driver assistance systems and intelligent transport systems. He is author of several papers in relevant scientific journals and has participated in several national and international congresses.
Research Interest: Transport engineering, active safety, vehicular dynamics, intelligent transport systems, electronics and Instrumentation, automated driving, connected driving.
Research Interest: Biomechatronics,
Wearable sensor applications for physical medicine and rehabilitation, Inertial
motion capture, System dynamics and control.
Biography: I am Parmod Kumar, qualified Engineer
offering 12 years of cross functional experience. I started my career as a
Marine Engineer and worked with Mitsui O.S.K. Lines and Chevron Shipping Co.
L.L.C. Presently I am working as an Assistant Professor with MWU, Ethiopia, a
Data Science Trainer [URL] and volunteering as NPA Diversity Officer. I am at
the same time working as a freelance research adviser to M.S. and Ph.D.
students. I am further serving as a reviewer for various reputed international
conferences and journals. I am passionate to listen and solve challenging
problems. In Data Science training course, I teach 'Data Science Introduction
and Toolbox', 'Data Extraction, Preparation, and Manipulation' 'Inferential
Statistics', 'Principal Of Analytic Graph', 'Predictive Models and Machine
Learning Algorithm – Supervised Regression', 'Predictive Models and Machine
Learning Algorithm – Supervised Classification', 'Predictive Models and Machine
Learning Algorithm – Unsupervised', 'Text Mining, Natural Language Processing,
and Social Network Analysis', and 'Capstone Project.'
My academic
credentials include Post Graduate Diploma in industrial Automation (PGDIA);
Ph.D. - Control Systems and Signal Processing, M.S. - Measurement and Control
Engineering, and B.E. - Marine Engineering.
Honesty, integrity, and
dedication are my core strengths which have significantly contributed towards
my career growth. I look forward to taking up assignments with greater
responsibilities and creating the landmark. I am nature and animal lover and
enjoy spending time with them. Also, I read books on diverse topics and play
basketball, volleyball, and soccer. If you are interested in learning more
about my experiences, or prospective collaborations, please contact me at
caldmet70@gmail.com and +91-7838779082.
Research Interest: Experimental Design, Biomedical Signal
Processing and Analysis, Image Processing and Analysis; Dynamic Modelling and
System Identification, Statistical Analysis and Modelling; Mathematical
Approximation and Optimization, Biomedical Engineering, Machine Learning;
Application of Artificial ntelligence, Fuzzy Logic, Neural Networks, Genetic
Algorithm; Classical and Intelligent Control Systems, Mechatronics, Robot
Architecture, Sensors and Actuators
Biography: Associate Prof. Dr. Sy Dzung Nguyen (Sy Dung Nguyen) received the M.E. degree in Manufacturing Engineering from Ho Chi Minh City University of Technology (HCMUT) – VNU, Vietnam, in 2001, PhD degree in Applied Mechanics in 2011 from HCMUT. He was a postdoctoral fellow at Inha University, Korea, 2011-2012, at Incheon National University, Korea, 2015-2016. He is currently a Head of Division of Computational Mechatronics, Institute for Computational Science, Ton Duc Thang University, Vietnam. His research interests include artificial intelligence, nonlinear adaptive control, robotics, managing online structure damage, and big data. Dr. Nguyen has been the main author of several ISI papers in these fields.
Research Interest: Mechanics; Mechatronics; Intelligent Systems and Control; Industrial Robots
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