Area of Research in Ph.D Thesis:

"On the Application of Support Vector Machine and Extreme Learning Machine Methods for Regression and Pattern Classification Problems".

Research Interests:(Details Research Interest)

  • Machine Learning Techniques like Support Vector Machine ,Extreme Learning Machine and Artificial Neural Networks (ANNs) in Regression and Pattern Classification problems.
  • Nonlinear Chaotic Time Series (Dynamical System Time Series, Financial Time Series forecasting, Heart Rate Time Series (ECG), Brain Dynamic-(EEG-Time Series), Physical System Time series) Prediction and Analysis through Machine Learning Techniques.
  • Fuzzy Regression and Function Estimation through Machine Learning methods.

Reviewer of Journal:

Reviewer of IEEE Transaction on Fuzzy System.

Membership of Society:

  • Member, IEEE.
      • International Association of Computer Science and Information Technology (IACSIT)(Member No.-80331176).

      Publications:

      • Rampal Singh, “First order Accumulated Generating Operation with Support Vector Machine for Chaotic Time Series Analysis”, in 3rd International Conference on Quality Reliability and Infocom Technology (ICQRIT-2007), pp.122-130, December 02-04, 2006.
      • Rampal Singh,“Nonlinear Prediction of Time Series with Newton Support Vector Regression” , in International Conference on Intelligent Systems & Networks(IISN-2007), pp. 130-135, February 23-25, 2007.
      • Rampal Singh, S. Balasundaram. “ On the Application of Support Vector Regression for Time Series Analysis with First Order Accumulated Generating Operation” , in National Conference on Machine Learning, Madurai, India, Feb. 20-24, 2007.
      • Anurag Mishra, Rampal Singh, S.Balasundaram. “ Blind Detection of Statistical Watermark using Extreme Learning Machine”,Communicated to 2nd International Conference on Information Society (I-Society-2007), pp.372-377, Oct.7–11, 2007, Merrillville, Indiana, USA.(pdf)
      • Rampal Singh and S. Balasundaram, “ Application of Extreme Learning Machine Method for Multi-class Classification Problems” , in 40th Annual Convention of Operation Research Society of India, Delhi, Dec.04-06, 2007.
      • Rampal Singh and S. Balasundaram, “Application of Extreme Learning Machine Method for Time Series Analysis”, in Proceeding of 4 th International Conference on Computer, Electrical and Systems Science and Engineering (CESSE-2007),pp.361-367, Bangkok, Dec. 14-16, 2007.
      • Rampal Singh and S. Balasundaram, “Application of Extreme Learning Machine Method for Time Series Analysis”, International Journal of Intelligent Technology, Vol.2, No.4, pp.256-262, 2007. (pdf)
      • Rampal Singh and S. Balasundaram, “On the Application of Extreme Learning Machine for Time Series Prediction”, in Proceeding of the International Conference on Data Management (ICDM-2008), pp.317-324, 2008.
      • S. Balasundaram and Rampal Singh, “On Finite Newton Method for Support Vector Regression ”, Journal of Neural Computing and Applications, Communicated.(pdf)
      • Rampal Singh and S. Balasundaram, “Active Set Fuzzy Support Vector epsilon-Insensitive Regression Approach", in IEEE International Conference on Advanced Computer Theory and Engineering (ICACTE2008), Dec.20-22, 2008, Phuket , Thailand.