"First they ignore you, then they laugh at you, then they fight you, then you win." - Mahatma Gandhi

  1. Full list of publications can be found here. (If you do not see any output, please right click and open link in a new tab.)
  2. Detailed CV can be found here

    Please e-mail me for additional information

    Journal Publications

  3. Boosting the Differences: A Fast Bayesian classifier neural network , Ninan Sajeeth Philip and K. Babu Joseph, Intelligent Data Analysis, 4(2000) 463-473, IOS press, nl. Latest Software and Data are here.
  4. Adaptive Basis Function for Artificial NeuralNetworks, Ninan Sajeeth Philip and K. Babu Joseph, Neurocomputing, Vol.47,1-4, (Aug 2002), pp.21-34, Elsevier,nl
  5. A Neural Network Tool for Analyzing Trends in Rainfall, Ninan Sajeeth Philip and K. Babu Joseph, Computers and Geosciences, (2003), Vol. 29, no. 2, pp. 215-223, Elsevier, Canada.
  6. Automated Galaxy Morphology: A Fourier Approach, S.C. Odewahn, S.H. Cohen, R.A. Windhorst, N.S. Philip, (2002), ApJ, 568, 539.
  7. A difference boosting neural network for automated star-galaxy classification, Ninan Sajeeth Philip, Yogesh Wadadekar, Ajit Kembhavi, K. Babu Joseph, Astronomy and Astrophysics, (2002), 385(3):1119--1133.
  8. Modeling Chaotic Behavior of Stock Indices Using Intelligent Paradigms Ajith Abraham, Ninan Sajeeth Philip and P. Saratchandran, International Journal of Neural, Parallel & Scientific Computations, (2003),Volume 11, issues 1 & 2, pp 143 to 160.
  9. Rainfall Forecasting Using Soft Computing Models and Multivariate Adaptive Regression Splines, Ajith Abraham, Ninan Sajeeth Philip and Dan Steinberg, IEEE SMC Transactions: Special Issue on Fusion of Soft Computing and Hard Computing in Industrial Applications, February 2001. (Submitted) [a collaborative project where all of us are co-principal investigators. ]
  10. Effect of substrate temperature on structural, optical and electrical properties of spray pyrolitically grown nanocrystalline SnO_2 thin films, Physica Status Solidi(a),Volume 204, Issue 10, pages 3305-3315, October 2007
  11. Nanostructural and surface morphological evolution of chemically sprayed SnO_2 thin films, Applied Surface Science 254 (2008) 2179 - 2186
  12. Results from the supernova photometric classification challenge, Richard Kessler et al., Publications of the Astronomical Society of the Pacific, 2010, 122, 1415
  13. A Learning Algorithm based on High School Teaching Wisdom, Ninan Sajeeth Philip, Paladyn Journal of Behavioral Robotics, 2010, 1(3), 160
  14. A photometric catalogue of quasars and other point sources in the Sloan Digital Sky Survey Sheelu Abraham, Ninan Sajeeth Philip, Ajit Kembhavi,Yogesh G. Wadadekar and Rita Sinha, Mon. Not. R. Astron. Soc. 419, 80–94 (2012)
  15. Spectral variability of IRAS 18325-5926 and constraints on the geometry of the scattering medium Shruti Tripathi, R. Misra, G. C. Dewangan, J. Cheeran, S. Abraham, N. S. Philip,Astrophys.J. 773 (2013)
  16. A Wavelet Based Algorithm for the Identification of Oscillatory Event-Related Potential Components. Arun Kumar A, Ninan Sajeeth Philip, Vincent J Samar, James A Desjardins, Sidney J Segalowitz,Journal of Neuroscience Methods 06(2014)

    International Conferences and Book Volumes

  17. Chaos for Stream Cipher, in proc. of Recent Advances in Computing and Communications, ADCOM2000, Tata McGraw-Hill,(2000) pp 35-42.
  18. A Bayesian Approach for star-galaxy classification, N.S.Philip, K.Babu Joseph,Ajit Kembhavi, Yogesh Wadadekar, in proc. Automated Data Analysis in Astronomy, Narosa Publishing house,(2000) pp.125-132
  19. On the predictability of Rainfall in Kerala: an application of ABF Neural Network, Lecture Notes in Computer Science(LNCS 2074), Springer Verlag, Germany,(2001) pp 400-408
  20. Distorted English Alphabet Identification: An application of Difference Boosting Algorithm, In proc. of Recent Advances in Computing and Communications,ADCOM2000, Tata McGraw-Hill,(2000) pp 139-143 [Referee's Best Paper Selection]
  21. Will we have a wet summer? Soft computing models for Long-term rainfall forecasting,Ajith Abraham, N.S. Philip, K. Babu Joseph, In proc. of 15th European Simulation Multiconference (ESM2001), Modeling and Simulation 2001, Prague (2001), pp 1044-1048. [Best Paper Award Selection]
  22. Studies in Artificial Neural Network Modeling, Ph.D Thesis (Nov. 2001).
  23. Performance Analysis of Connectionist Paradigms for Modelling Chaotic Behavior of Stock Indices, Ajith Abraham, Ninan Sajith Philip, Baikunth Nath, P. Saratchandran, Second International Workshop on Intelligent Systems Design and Applications, (ISDA'02), Computational Intelligence and Applications, Dynamic Publishers Inc., USA, ISBN 096403980X, pp. 181-186, Atlanta, USA, 2002.
  24. Optimal Selection of training data for the Difference Boosting Neural Network in proc. of iAstro, Nice, France, 16-17th October 2003.
  25. Photometric Classification of Quasars from the Sloan Survey, Rita Sinha, N. S. Philip, Ajit Kembhavi, Ashish Mahabal, IAU HIGHLIGHTS OF ASTRONOMY, Volume 14, Special Session 3: The Virtual Observatory in Action: New Science, New Technology, and Next Generation Facilities,IAU XXVI General Assembly,Prague, August 17-22 2006. Get Detailed Paper
  26. Photometric Determination of Quasar Candidates in proc. of ADASS -2009,Astronomical Society of Pacific Conference Series, Astronomical Society of Pacific (ASP), Sapparo, Japan, October 2009.
  27. What is there in a Training Sample? 2009 World Conference on Nature and Biologically Inspired Computing (NaBIC-2009), IEEE, ISBN: 978-1-4244-5612-3.
  28. Classification by Boosting Differences in input vectors: An application to datasets from Astronomy International workshop on Stellar Libraries (2011), ASI Conferance Series Vol. 6, p151-159, 2012.
  29. Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets In proc. of Scalable Machine Learning: Theory and Applications, IEEE BigData 2013, Santa Clara, CA, USA.