Oswaldo Ludwig
Contact Info:
e-mail
phone
fax
 
oludwig@isr.uc.pt
+351 239 796 205
+351 239 406 672
Mailing Address: Instituto de Sistemas e Robótica - ISR
Dep. de Eng. Electrotécnica - DEEC
Universidade de Coimbra - Polo II - UC
3030-290 Coimbra Portugal

 

 
Oswaldo Ludwig received the M.Sc. degree in electrical engineering from Federal University of Bahia, Brazil, in 2004, when he began to teach courses in electrical engineering, such as artificial intelligence, digital control, and digital signal processing. In 2012 he received the Ph.D. degree in electrical engineering from University of Coimbra, where he works as an invited assistant professor. His current research focuses on machine learning with application on several fields, such as pedestrian detection in the domain of intelligent vehicles and biomedical data mining.
Curriculum Research Supervisions Software packages
[May 18, 2012] R&D Projects Master Thesis Matlab codes

PhD thesis:

1. O. Ludwig; “ Study on Non-parametric Methods for Fast Pattern Recognition with Emphasis on Neural Networks and Cascade Classifiers; ” PhD Thesis, University of Coimbra, Coimbra, 2012. [Application for human detection]

Textbooks:

1. O. Ludwig and E.M. Costa; “ Redes Neurais - Fundamentos e Aplicaçőes com Programas em C; ”ISBN: 9788573936193, Editora Cięncia Moderna, 2007. (in portuguese) [C source codes]

Journal Papers:

1. O. Ludwig, U. Nunes, R. Araújo; “Eigenvalue Decay: a New Method for Neural Network Regularization;” Neurocomputing (accepted for publication).  [Matlab code for Support Vector Neural Network] IF=1.634
2. O. Ludwig, U. Nunes, B. Ribeiro, and C. Premebida; “ Improving the Generalization Capacity of Cascade Classifiers ;” IEEE Transactions on Cybernetics, vol.PP, issue 99, pp. 1-12, Feb. 2013.  (former IEEE Transactions on Systems Man and Cybernetics: Part B, whose impact factor was 3.08)
3. O. Ludwig and U. Nunes; “ Novel Maximum-Margin Training Algorithms for Supervised Neural Networks;” IEEE Transactions on Neural Networks, vol.21, issue 6, pp. 972-984, Jun. 2010.  [Tutorial of MMGDX with comparative experiments] [Matlab code for MMGDX] [Feature selector for Matlab]. IF=2.952
4. P. Corral, O. Ludwig, and A.C.C. Lima; “ Time-varying channel neural equalisation using Gauss-Newton algorithm;” Electronics Letters, vol.46, issue 15, pp. 1055-1056, 2010.  IF=0.965
5. O. Ludwig, U. Nunes, R. Araújo, L. Schnitman, and H. A. Lepikson; “ Applications of information theory, genetic algorithms, and neural models to predict oil flow;” Communications in Nonlinear Science and Numerical Simulation , vol. 14, issue 7, pp. 2870-2885, Elsevier, Jul. 2009.  IF=2.806
6. C. Premebida, O. Ludwig and U. Nunes; “LIDAR and vision-based pedestrian detection system;”. Journal of Field Robotics, vol 26, issue 9, pp. 696-711, Sep. 2009, Wiley.  [Dataset] . IF=2.244
7. O. Ludwig, L. Schnitman, and H. A. Lepikson; “ A hybrid neural architecture for fuzzy rules extraction;” IEEE Latin America Transactions (ISI journal), vol. 2, issue 2, pp. 126-131, Jun. 2004.    IF=0.346
8. P. Corral, J. A. Pérez, A. C. C. Lima, and O. Ludwig; “ Parking Spaces Detection In Indoor Environments Based On Zigbee;” IEEE Latin America Transactions, vol. 10, issue 1, pp. 1162-1167, Jan. 2012.    IF=0.346
9. P. Corral, B. Coronado, A. C. C. Lima, and O. Ludwig; “ Design of Automatic Meter Reading based on Zigbee; ” IEEE Latin America Transactions, vol. 10, issue 1, pp. 1150-1155, Jan. 2012.    IF=0.346

Conference Papers:

 

  1. Ludwig, O.; Premebida, C.; Nunes, U.; Araujo, R. Evaluation of Boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection. In: 14th International IEEE Conference On Intelligent Transportation Systems, Washington, 2011.  

  2. C. Premebida, O. Ludwig, M. Silva and U. Nunes . A Cascade Classifier applied in Pedestrian Detection using Laser and Image-based Features. In: 13th International IEEE Conference On Intelligent Transportation Systems, Madeira, 2010.  

  3. Ludwig, Oswaldo ; Delgado, D. ; Goncalves, V. ; Nunes, U. . Trainable Classifier-Fusion Schemes: An Application To Pedestrian Detection. In: 12th International IEEE Conference On Intelligent Transportation Systems, St. Louis, 2009. [HOG descriptor for Matlab].

  4. Premebida, Cristiano ; Ludwig, Oswaldo ; Nunes, Urbano . Exploiting LIDAR-Based Features On Pedestrian Detection In Urban Scenarios. In: 12th International IEEE Conference On Intelligent Transportation Systems, St. Louis, 2009.

  5. Premebida, Cristiano ; Ludwig, Oswaldo ; Matsuura J. . Exploring Sensor Fusion Schemes For Pedestrian Detection In Urban Scenarios. In: IEEE/RSJ Worshop On: Safe Navigation In Open And Dynamic Environmentts Hold At The IROS, 2009, St. Louis. IEEE/RSJ Worshop On: Safe Navigation In Open And Dynamic Environmentts, 2009. V. 1. P. 1-6.

  6.  Ludwig Júnior, O. ; Nunes, U. . Improving The Generalization Properties Of Neural Networks: An Application To Vehicle Detection. In: In 11th International IEEE Conference On Intelligent Transportation Systems, 2008, Beijing. Anais Do In 11th International IEEE Conference On Intelligent Transportation Systems In 11th International IEEE Conference On Intelligent Transportation Systems, 2008.

  7. Ludwig Júnior, O. ; Araújo, R. ; Nunes, U. . Comparison Study Of Redundant Sensor Fusion In Autonomous Vehicle Navigation. In: 8th Portuguese Conference On Automatic Control, 2008, Vila Real. 8th Portuguese Conference On Automatic Control, 2008.

  8. Ludwig Júnior, O. ; Araújo, R. ; Nunes, U. ; Schnitman, L. ; Lepikson, H. . Applications Of Entropy And Neural Models To Predict Oil Flow. In: 2nd Conference On Nonlinear Science And Complexity, 2008, Porto. 2nd Conference On Nonlinear Science And Complexity, 2008.

  9. Ludwig Júnior, O. ; Schnitman, L. ; Nunes, U. . Enhancing The Performance Of ANN Off-Line Training Methods. In: Conference On Control And Applications - EUROCAST 2009, 2008, Ilhas Canárias. Conference On Control And Applications - EUROCAST 2009, 2008.

  10. Santos, C. ; Ludwig Júnior, O. ; Corral, P. ; Lima, A. C. C. . Neural Equalizer For Time Varying Channel Using Gauss-Newton Training Algorithm. In: 2nd International Conference On Signal Processing And Communication Systems, 2008, Gold Coast. 2nd International Conference On Signal Processing And Communication Systems, 2008.  

  11. SOUZA, F. ; LUDWIG JÚNIOR, O. ; SCHNITMAN, L. . A Comparative Analysis Between Dynamic Data Reconciliation Techniques. In: 8th Portuguese Conference on Automatic Control, 2008, Vila Real. 8th Portuguese Conference on Automatic Control, 2008.

  12. Cardoso, G. ; Ludwig Júnior, O. ; Schnitman, L. . Nonlinear Control Based On Differential Geometry. In: Robotics and Control Systems ARCS-08, 2008, Orlando. Robotics and Control Systems ARCS-08, 2008.

  13. Cardoso, G. ; Ludwig Júnior, O. ; Schnitman, L. . Alguns Exemplos de Controle Năo-Linear Baseados Na Geometria Diferencial. In: XVII Congresso Brasileiro de Automática, 2008, Juiz de Fora. XVII Congresso Brasileiro de Automática, 2008.

  14. Sanches, E. ; Ludwig Júnior, O. ; Schnitman, L. . Uma Proposta de Modelagem de Equipamento Rotativo Sob Efeito de Desbalanço Para Utilizaçăo em Sistema de Controle. In: V Congresso Nacional de Engenharia Mecânica, 2008, Salvador. V Congresso Nacional de Engenharia Mecânica, 2008.

  15. Ludwig Júnior, O. ; Lima, A. C. C. . Optimization Of Ann Applied to Non-Linear System Identification. In: International Conference on Modelling, Identification, and Control (Mic 2006), 2006, Lanzarote. Proceedings of International Conference on Modelling, Identification, and Control, 2006.

  16. Corral, P. ; Ludwig Júnior, O. ; Lima, A. C. C. . Optimization Of Ann Applied to Non-Linear System Identification Based In Uwb. In: Symposium on Trends in Communications, 2006, Bratislava. Anais do Symposium on Trends In Communications, 2006.

  17. Almeida, G. S. ; Kiperstok, A. ; Dias, M. C. ; Ludwig Júnior, O. . Metodologia Para Caracterizaçăo De Consumo De Água Doméstico Por Equipamento Hidráulico. In: Xii Silubesa, 2006, Figueira Da Foz. Anais Simpósio Luso-Brasileiro De Engenharia Sanitária E Ambiental, 2006.

  18. Cortes, P. N. ; Ludwig Júnior, O. ; Lima, A. C. C. . Neuro-Equalizador Com Algoritmo De Treinamento Tipo Gauss-Newton. In: Congresso Brasileiro De Automática - CBA'2006, 2006, Salvador. Anais Do Congresso Brasileiro De Automática.

  19. Ludwig Júnior, O. ; Schnitman, L. ; Lepikson, H. ; J.F.Correa, . Gradiente Descendente Para A Extraçăo De Características De Sinais. In: Congresso Brasileiro De Automática - CBA'2006, 2006, Salvador. Anais Do Congresso Brasileiro De Automática.

  20. Nascimento, T. P. ; Ludwig, Oswaldo . Supervisory Control System For Cooperative Agents. In: Electronics, Robotics And Automotive Mechanics Conference, 2006, Cuernavaca. Electronics, Robotics And Automotive Mechanics Conference, 2006. V. 2. P. 182-187.  

  21. Ludwig Júnior, O. ; Lima, A. C. C. ; Schnitman, L. ; Souza, F. . Entropy Analysis Applied To Nfir Models. In: American Control Conference (ACC 2005), 2005, Portland. American Control Conference Proceedings. Portland: ACC Council, 2005. P. 1357-1358.  

  22. Ludwig Júnior, O. ; Figueiró, W. . Seismic Inversion By Principal Components Analysis And Neural Networks. In: 9th International Congress Of The Brazilian Geophysical Society, 2005, Salvador, 2005.

  23. Ludwig Júnior, O. ; Schnitman, L. ; Souza, F. ; Lepikson, H. . A Comparative Analysis Between Conventional Approaches And Connectionist Methods In Pattern Recognition Tasks. In: AIA (Artificial Intelligence And Apllications), 2004, Innsbruck-Austria. IASTED International Conference On Artificial Intelligence And Applications, Innsbruck-Austria, Feb 2004, 2004. P. 639-644.

  24. Ludwig Júnior, O. ; Lima, A. C. C. ; Schnitman, L. ; Souza, F. Supervised Methods For Feature Extraction. In: CONTROLO, 2004, Algarve. Proceedings Of The Sixth Portuguese Conference On Automatic Control, Faro, 2004.

  25. Ludwig Júnior, O. ; Lima, A. C. C. ; Lepikson, H. ; Schnitman, L. . Redes De Kohonen Para O Reconhecimento De Imagens. In: Congresso Brasileiro De Automática CBA2004, 2004, Gramado. Anais Do XV Congresso Brasileiro De Automática, 2004.


 [R&D Projects]