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Armando Vieira

PhD in Theoretical Physics from University of Coimbra, MS in Physics & Engineering of Plasmas at Nuclear Fusion Center & BEng in Technological Physics Engineering from Instituto Superior Técnico, CEO of Sairmais.

Headline: Entrepreneur
Work status: On Sabbatical
Website: http://www.sairmais.com
Industries: Information Technology, Internet, Mobile, Travel
Skills: Business, C/C++, Computer Engineering, Copy Writing, Editing, Engineering, English, Entrepreneurship, French, HTML / CSS, Languages, PHP, Portuguese, Public Relations, Python, Software Engineering, Spanish, SQL, Web Development, Writing
Groups: Global Entrepreneurship Week , iUP25k, Start-Up Chile
Visas: Europe, USA
Interested in: Advising startups, Brainstorming, Finding business partners, Finding cofounders, Finding team mates, Meeting new people, Mentoring, Partnering with other groups, Professional opportunities, Promoting my startups, Raising money, Recruiting for my startup, Trading services
Schools: Instituto Superior Tecnico, Universidade de Coimbra

FEATURED STARTUP

sairmais

sairmais sairmais

Sairmais.com is a web portal for reservations using semantic web tools to deliver personalized and relevant tourism information.

  • Startup type: Company
  • Status: Active
  • Stage: Beta

WORK EXPERIENCE

Employer: Universidade Lusófona.
Position: Lecturer
Time period: September 2007 - Present
Description: From September 2007 I lectured Multimedia and Information Systems and Artificial Intelligence to Computer Science Students at Universidade Lusófona.

Employer: Sairmais
Position: CEO

Employer: Instituto Superior de Engenharia, Porto.
Position: Professor-Coordenador
Time period: September 2000 - December 2009

Employer: Lusófona University
Position: Professor of Physics
Time period: October 1998 - July 2000
Description: Teached physics to 3th year computer science undergraduates. I was also a postdoc at the Instituto Tecnológico e Nuclear in Sacavém, Portugal, working on Monte Carlo simulations for the transport of neutrons and photons on the Portuguese Nuclear Reactor.

EDUCATION

University: Universidade de Coimbra
Time period: 1997
Degree: Theoretical Physics, PhD

University: Instituto Superior Tecnico
Time period: 1990
Degree: Technological Physics Engineering, BEng

PUBLICATIONS

Articles: 1. Brajczewska, C. Fiolhais, A. Vieira and J. P. Perdew Self-compression of metallic clusters in the stabilized
jellium model, Proceedings of “Many-Body Physics”, eds. C. Fiolhais et al, World Scientific, Singapore,

(1994).

2. A. Vieira and C. Fiolhais Decay of charged stabilized jellium clusters, Int. J. Quantum Chem., 56, 239 (1995).

3. C. Fiolhais and A. Vieira fission of Metallic clusters, in Collective Motions in Nuclear Dynamics Proceedings
of the Predeal International Summer School, ed. A. Raduta, World Scientific, Singapore, p. 523 (1995).

4. A. Vieira and C. Fiolhais The two-center shell model for the fission of metallic clusters, Z. Phys. D 37, 269
(1996).

5.
A. Vieira and C. Fiolhais Fission of metallic clusters in the liquid drop model, Phys. Lett. A 220, 231 (1996).

6. A. Vieira, M. Brajczewska and C. Fiolhais, Self- expansion and compression of charged clusters of stabilized
jellium, Int. J. Quantum Chem., 60, 1537 (1996).

7. M. Brajczewska, A. Vieira, C. Fiolhais and J. P. Perdew, Volume shift and charge instability of simple-metal
clusters, Progress in Surface Science, 53, 305 (1996).

8. A. Vieira, M. B. Torres, C. Fiolhais and L. C. Balbás, Comparison of the spherical averaged pseudopotential
with the stabilized jellium model, J. Phys. B 30, 3583 (1997).

9. A. Vieira and C. Fiolhais Shell correction effects on fission barrier of metallic clusters: a systematic

description, Phys. Rev. B 57, 7352 (1998).

10. A. Vieira and C. Fiolhais Fission of Metallic Clusters within the Shell Correction Method, Proceedings of the
International Symposium "Similarities and Differences Between Atomic Nuclei and Clusters", American
Institute of Physics, ed. Y. Abe and S. M. Lee, 407 (1997).

11. F. Nogueira, A. Vieira, M. Brajczewska and C. Fiolhais Charged metal clusters: atomistic versus continuous
background descriptions, Proceedings of the 21st International Workshop, in Condensed Matter Theories, J. da
Providência e F. B. Malik (Ed.), Vol XIII, Nova Science, New York, 1998, 333.

12. F. F. Karpechine, A. Vieira, C. Fiolhais and J. da Providência Jr., On the ternary fission of atomic clusters,
Europhysics Letters, 42, 149 (1998).

13. A. Vieira and C. Guet, Fission of a charged liquid drop in an external electric field, European Journal of
Physics D, in print.

14. A. Vieira and N. P. Barradas, Neural network analysis of Rutherford backscattering data, Nucl. Instr. Meth. B
170, 235 (2000).

15. N. P. Barradas and A. Vieira, Artificial neural network algorithm for analysis of Rutherford backscattering
data, Phys. Rev. E, 62, 5818 (2000).

16. A. Ramalho, J. Marques, I. C. Goncalves, I. F. Goncalves, A. Fernandes, J. Prata and A. Vieira, Use of RPI to
test the behaviour under irradiation of electronic circuits and components for CERN, Proceedings of IAEA
International Symposium on Research Reactor Utilization, Safety and Management, IAEA-SM-360, Lisboa
(1999).

17. A. Vieira, Democracy Online: framing a new political system based of the Internet, Proceedings of the
International Conference on Public Participation and Information Technologies, Lisboa, 1999.

18. A. Vieira, A. Ramalho, I. C. Gonçalves, A. Fernandes, N. Barradas, J. G. Marques, J. Prata and C. Chaussy,
Monte Carlo calculations for neutron and gamma radiation fields on a fast neutron irradiation device,
Proceedings of International Conference "Monte Carlo 2000", Lisbon (2000).

19. A. Vieira e N. Barradas, Artificial neural networks for analysis of Rutherford backscattering data, Phys. Rev. E
62, 5818 (2000).

20. A. Vieira, N. P. Barradas and C. Jeynes, Error performance analysis of Artificial Neural Networks applied to
Rutherford backscattering data, Surf. Interface Anal., 31,35-38 (2001).


21. N. P. Barradas, A. Vieira and E. Alves, Artificial Neural Networks analysis of RBS data of Er-Implanted
Sapphire, Nucl. Instr. Meth. B 175, 108 (2001).

22. A. Vieira, A. Fernandes, R. Patrício, Optimization of neutron beams for BNCT using artificial neural networks,
Proceedings of the WSES International Conference on Neural Networks and Applications, p 34, Tenerife, 12-
14 February (2001).

23. A.Vieira, N. P. Barradas, Composition of Ni-Ta-C films using neural network analysis of Rutherford
backscattering data, Nucl. Instr. Meth. B 174, 367-372 (2001).

24. J. A. Agapito, N. P. Barradas, F. M. Cardeira, J. Casas, A. P. Fernandes , F. J. Franco, P. Gomes, I. C.
Goncalves, A. H. Cachero, J. Lozano, J. G. Marques, A. Paz, M. J. Prata, A. J. G. Ramalho, M. A. Rodríguez
Ruiz, J. P. Santos and A. Vieira, Radiation Tests on Commercial Instrumentation Amplifiers, Analog Switches
& DAC's, LEB2001, Sweden (2001).

25. A. Vieira, Why it is so difficult to predict social phenomena: a perspective from a physicist, CAUS -
Conference of the SAS Users and Developers, Lisbon (2001).

26. N. P. Barradas, A. Vieira, R. Patrício, RBS Without Humans, Nucl. Instr. Meth. B, 190, 231-236 (2002).

27. A. Vieira, N. P. Barradas and E. Alves, Analysis of sapphire implanted with different elements using artificial
neural networks, Nucl. Instr. Meth. B 190, 241 (2002).

28. N. P. Barradas and A. Vieira, Artificial neural networks for automation of Rutherford backscattering
spectroscopy experiments and data analysis, Phy. Rev. E, 65 66703 (2002).

29. A. Vieira, A new paradigm to teach physics to engineering students, mICTIE, International Conference on
Technologies of Information in Education, Badajoz (2003).

30. A. Vieira and Nuno Barradas, A new training algorithm for classification of high dimensional data, Neurocomputing, 50C, 461-472 (2003).

31. G. Öhl, V. Matias, A. Vieira, N. P. Barradas, Artificial neural network analysis of RBS data with roughness:
Application to Ti0.4Al0.6N/Mo multilayers, Nucl. Instrum. Methods B (2003).

32. V. Matias, G. Öhl, J.C. Soares, N. P. Barradas, A. Vieira, P.P. Freitas, S. Cardoso, Determination of the
composition of light thin films with artificial neural networks analysis of Rutherford backscattering

experiments Phys. Rev. E 67, article 046705 (2003).

33. A. Vieira, P.A. Castillo and J. J. Merelo, Comparison of HLVQ and GProp in the problem of bankruptcy
prediction, IWANN03 - International Workshop on Artificial Neural Networks, J. Mira (Ed.), pp. 655-662,
LNCS 2687, Springer-Verlag, Menorca, Spain, June (2003).

34. A. Vieira, Application of HLVQ to bankruptcy prediction, ICMLA - International Conference of Machine
Learning and Applications, pp. 327-332, Los Angeles (2003).

35. A. Vieira, Robust bankruptcy probability estimation using HLVQ, IWAMEM-03, International Workshop on
Data Mining and Adaptative Modeling for Economics and Management, Porto, 15-16 September (2003).

36. Gaspar-Cunha and A. Vieira, A Multi-Objective Evolutionary Algorithm Using Approximate Fitness
Evaluations, European Conference on Applications of Genetic Algorithms EUROGEN 2003, p. 157, Barcelona
15-17 September (2003).

37. A. S. Vieira, B. Ribeiro, S. Mukkamala, J. C. Neves, A. H. Sung, On the Performance of Learning Machines
for Bankruptcy Detection, IEEE International Conference on Computational Cybernetics, Vienna, Austria,
August 30 – September 1, 223 – 227 (2004).

38. A. Gaspar-Cunha, A. S. Vieira, A Hybrid Multi-Objective Evolutionary Algorithm Using an Inverse Neural
Network, HYBRID METAHEURISTICS (HM 2004) Workshop, Valencia, Spain, 178 (2004).

39. A. Gaspar-Cunha e A. Vieira, A Multi-Objective Evolutionary Algorithm Using Neural Networks to

Approximate Fitness Evaluations, International Journal of Computers, Systems and Signals, 231(2004).

40. A. Gaspar-Cunha, Armando S. Vieira, Multi-Objective Optimization: Hybridization of an Evolutionary
Algorithm with Artificial Neural Networks for fast Convergence. Workshop on Design and Evaluation of
Advanced Hybrid Meta-Heuristics, Nothingam, 3,4 November (2004).

41. Armando Vieira, Bernardete Ribeiro and Joao C. Neves, A Method to Improve Generalization of Neural
Networks: Application to the Problem of Bankruptcy Prediction, Proceeding ICANNGA-7, Springer Verlag
series on Adaptative and Natural Computing Algorithms, 417 (2005).

42. S. Mukkamala, A. H. Sung, A. S. Vieira and J. C. Neves, Are Neural Networks The Best Predictors For
Bankruptcy Detection?, The 12th International Conference on Neural Information Processing, Oct 30, Taipei,
Taiwan (2005).

43. Armando Vieira, An Iterative Artificial Neural Network for high dimensional data analysis, Artificial Neural
Networks: Biological Inspirations – ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings II, Editors Włodzisław Duch, Janusz Kacprzyk, Erkki Oja, et al., pp. 691-697
(2005).

44. Armando Vieira, Bernardete Ribeiro and Joao C. Neves, A Method to Improve Generalization of Neural
Networks: Application to the Problem of Bankruptcy Prediction, Proceeding ICANNGA-7, Springer Verlag
series on Adaptative and Natural Computing Algorithms, 417 (2005)

45. Armando Vieira and Baldomero Oliva, Protein Loop Classification Using Artificial Neural Networks,
Advances in Bioinformatics and Computational Biology, Proceedings of the Brazilian Simposium on
Bioinformatics, pp. 222-225, João C. Setubal and Sergio Verjovski-Almeida Ed. (2005).

46. Bernardete Ribeiro, Armando Vieira and Joao Carvalho das Neves, Sparse Bayesian Models: Bankruptcy-
Predictors of Choice?, 2006 International Joint Conference on Neural Networks, Vancouver, Canada.

47. S. Mukkamala, G. D. Tilve, A. H. Sung, B. Ribeiro, A . S. Vieira (2006) Computational Intelligent Techniques
for Financial Distress Detection. International Journal of Computational Intelligence Research (IJCIR) (2006),
pp 60-65.

48. Armando Vieira and Joao Carvalho das Neves, Improving Bankruptcy Prediction with Hidden Layer Learning
Vector Quantization, European Accounting Review 15 (2), 253-271 (2006).

49. S. Mukkamala, A. H. Sung, B. Ribeiro , A. S. Vieira, J. C. Neves, Model Selection and Feature Ranking for
Financial Distress Classification. Proceedings of 8th International Conference on Enterprise Informations Systems (ICEIS 2006), INSTICC - Institute for Systems and Technologies of Information, Control and
Communication.

50. Ribeiro, B., Vieira, A. and Neves, J. , Supervised Isomap with Dissimilarity Measures in Embedding Learning,
in Proc. of the Ibero-American Conference on Pattern Recognition, Progress in Pattern Recognition, Image
Analysis and Applications, Lecture Notes in Computer Science (LNCS),Springer Berlin / Heidelberg, pp. 389-
396, Vol. 5197, September 2008

51. B Ribeiro, A Vieira, J Duarte, C Silva, J Carvalho das Neves, S Mukkamala, and A H Sung, Bankruptcy
Analysis for Credit Risk using Manifold Learning, ICONIP, Lecture Notes on Computer Science, Springer,
Auckland, 2008.

52. A Vieira, B Ribeiro, J Duarte, C Silva, J Carvalho das Neves, S Mukkamala, and A H Sung, Improving
Personal Credit Scoring with HLVQ, ICONIP, Lecture Notes on Computer Science, Springer, Auckland, 2008.

53. J. Demeulemeester, D. Smeets, A. Vantomme, C. Detavernier, C. Van Bockstael, C. M. Comrie, N. P.
Barradas, A. Vieira, Pt redistribution during NiSi formation, Applied Physics Letters, vol 93, issue 26, 2008
http://link.aip.org/link/?APL/93/261912.

54. D. Smeets, N. P. Barradas, A. Vieira, J. Demeulemeester, C. M. Comrie, C. Theron and A. Vantomme,
“Instantaneous Analysis of Real-Time RBS Data Using Artificial Neural Networks”,Proceedings of the 20th International Conference on the Application of Accelerators in Research and Industry, CAARI, 2008

55. D. Smeets, N. P. Barradas, A. Vieira, J. Demeulemeester, C. M. Comrie, C. Theron and A. Vantomme, “Real-
time RBS to study thin film growth kinetics: the use of artificial neural networks for instantaneous data
analysis”, 14th International Conference on Thin Films & Reactive Sputter Deposition 2008, ICTF.

56. Ning Chen and Armando Vieira “Bankruptcy prediction based on independent component analysis”,
International Conference on Agents and Artificial Intelligence, ICAART, Porto 2009.

57. A. S. Vieira, João Duarte, B. Ribeiro and J. C. Neves, “Accurate Prediction of Financial Distress with Machine
Learning Algorithms”, Proceeding of the International Conference on Artificial Neural Networks and Genetic
Algorithms, Springer Lectures on Computer Science, ICANNGA 2009, Kuopio, Finland, 2009.

58. B. Ribeiro, C. Silva, A. S. Vieira and J. C. Neves, “Extracting Discriminative Features Using Non-Negative
Matrix Factorization in Financial Distress Data”, Proceeding of the International Conference on Artificial
Neural Networks and Genetic Algorithms, Springer Lectures on Computer Science, ICANNGA 2009, Kuopio,
Finland, 2009.

59. Ning Chen, Armando Vieira Bernardete Ribeiro, Joao Duarte, Joao Neves “A stable credit rating model based
on learning vector quantization”, Accepted in Intelligent Data Analysis, 2010.

60. Fernando Mendes, João Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Neves, António
Gaspar-Cunha, “Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy
Prediction”, accept at World Conference on Computational Information, Barcelona, 2010.

61. Bernardete Ribeiro, Catarina Silva, Armando Vieira, A Gaspar-Cunha, Joao Carvalho Neves, “Financial
Distress Model Prediction using SVM+”, accept at World Conference on Computational Information,
Barcelona, 2010.

62. J. Demeulemeestera, D. Smeetsa, N.P. Barradasb, Armando Vieira, C.M. Comriee, K. Temsta, A. Vantommea,
“Artificial Neural Networks for instantaneous analysis of real-time Rutherford backscattering spectra”,
Accepted at Nucl. Instrum. Methods B (2010).
Books: “Electromagnetic radiation, optics, waves and communication theory”.
“The Art of Scientific Writing”.
“The Art of Scientific Investigation”.
Armando Vieira

Armando's Startups (3)

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  • Flying Carpet

    Flying Carpet

    A friend at each destination. Flying Carpet is a low cost solution for private conciergerie

  • sairmais

    sairmais

    Sairmais.com is a web portal for reservations using semantic web tools to deliver personalized and relevant tourism information.

  • AIRES

    AIRES

    credit rating of SME

Armando is Following (14)

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  • Wambo

    Wambo

    Helping launch 100% digital properties like UsingMiles.com and UsedTunes.com. Others involve running/walking activities, stories about products, data related to brands....

  • TravelGround

    TravelGround

    TravelGround offers the best accommodation across South Africa through a simple self-service booking website. The site is operated by a small, dedicated team of South Africans who work out of Cape Town.

  • Zangoa

    Zangoa

    Map based site to find rural accommodation and discover its environment.

  • Joobili

    Joobili

    Joobili is Europe's best source for Timely Travel inspirations. You say when you want to travel, and Joobili tells you where the best festivals and events are that match your travel dates and interests. Pretty simple.

Armando's Contacts (10)

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  • Rade Glomazic

    Rade Glomazic

    Currently a Doctoral candidate in Political science at the European Center for Peace and Development of the UN University of Peace. Have over ten years of professional experience working in socio-economic development activities and int. cooperation

  • Daniel Loureiro

    Daniel Loureiro

    Interested in developing innovative technologies.

  • roii patterson

    roii patterson

  • Miguel Carvalho

    Miguel Carvalho