Rajprasad Kumar Rajkumar

Contact

• workRoom DB25 Block D
  Malaysia Campus
  Jalan Broga
  43500 Semenyih
  Selangor Darul Ehsan
  Malaysia
• work+6 (03) 8924 8377
• fax+6 (03) 8924 8017
• Rajprasad.Rajkumar@nottingham.edu.my

Teaching Summary

C Programming, Signal Processing, Digital Electronics, Embedded Systems, Real-time systems.

Research Summary

My main research interests are in the use of support vector machines and signal processing techniques in various domains. I am currently working in the area of non-destructive testing, remote… read more

Selected Publications

• DINO ISA, LAM HONG LEE, V.P. KALLIMANI, R. RAJKUMAR, 2008. Text Document Pre-Processing With The Bayes Formula For Classification Using The Support Vector Machine IEEE Transactions on Knowledge and Data Engineering (TKDE).
• DINO ISA AND RAJPRASAD RAJKUMAR, 2009. Pipeline Defect Prediction using Support Vector Machines Applied Artificial Intelligence. 23(8), 758-771
• LAM HONG LEE, RAJPRASAD RAJKUMAR and DINO ISA, 2010. Automatic folder allocation system using Bayesian-support vector Applied Intelligence.
• LAM HONG LEE, CHIN HENG WAN, RAJPRASAD RAJKUMAR and DINO ISA, 2011. An enhanced Support Vector Machine classification framework by using Euclidean distance function for text document categorization Applied Intelligence.

• View all publications

Current Research

My main research interests are in the use of support vector machines and signal processing techniques in various domains. I am currently working in the area of non-destructive testing, remote sensing, text document classification and developing unsupervised learning techniques in real-time systems

Future Research

- Optimization of learning algortihm processing for real-time systems

- Implementing a full automated learning machinen that is capable of adaptng paramter automaticall for use in remote sensin applications.

• WAN CHIN HENG, LEE LAM HONG, RAJPRASAD RAJKUMAR and DINO ISA, 2012. A hybrid text classification approach with low dependency on parameter by integrating K-nearest neighbor and support vector machine Expert Systems with Applications. (In Press.)
• LAM HONG LEE, CHIN HENG WAN, RAJPRASAD RAJKUMAR and DINO ISA, 2011. An enhanced Support Vector Machine classification framework by using Euclidean distance function for text document categorization Applied Intelligence.
• MUHSIN HASSAN, RAJPRASAD RAJKUMAR, DINO ISA and ROSELINA ARELHI, 2011. Kalman Filter as a pre-processing technique to improve the support vector machine In: Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2011 IEEE Conference on. 107 - 112
• RAJPRASAD RAJKUMAR, NIK AHMAD AKRAM, DINO ISA, ZAKRIA HUSSAIN, 2010. On Using Long-Range Ultrasonics to Track Corrosion Rates in Pipelines via Adaptive Machine Learning In: The Seventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, (CM 2010 and MFPT 2010).
• LAM HONG LEE, RAJPRASAD RAJKUMAR and DINO ISA, 2010. Automatic folder allocation system using Bayesian-support vector Applied Intelligence.
• DINO ISA AND RAJPRASAD RAJKUMAR, 2009. Pipeline Defect Prediction using Support Vector Machines Applied Artificial Intelligence. 23(8), 758-771
• ZAIDAH IBRAHIM, DINO ISA, RAJPRASAD RAJKUMAR AND GRAHAM KENDALL, 2009. Document zone classification for Technical document images using Artificial Neural Networks and Support Vector Machines In: The Second International Conference on the Applications of Digital Information and Web Technologies (ICADIWT’2009).
• DINO ISA, RAJPRASAD RAJKUMAR, 2009. Pipeline defect prediction using long range ultrasonic testing and intelligent processing In: Malaysian International NDT Conference and Exhibition, MINDTCE 09.
• DINO ISA, LAM HONG LEE, V.P. KALLIMANI, R. RAJKUMAR, 2008. Text Document Pre-Processing With The Bayes Formula For Classification Using The Support Vector Machine IEEE Transactions on Knowledge and Data Engineering (TKDE).
• DINO ISA, LAM HONG LEE, V.P. KALLIMANI, R. RAJKUMAR, 2008. Text Document Pre-Processing With The Bayes Formula For Classification Based On The Vector Space Model, Journal of Computer and Information Science, Canadian Center of Science and Education (CCSE). 1(4), 79-90
• DINO ISA, LAM HONG LEE, V.P. KALLIMANI, R. RAJKUMAR, 2008. Polychotomiser for Case-Based Reasoning Beyond The Traditional Bayesian Classification Approach Journal of Computer and Information Science, Canadian Center of Science and Education (CCSE). 1(1), 57-68
• DINO ISA AND RAJPRASAD RAJKUMAR, 2008. Defect detection in pipelines using ultrasonic sensors and Support Vector Machines In: The 3rd International Conference on Mechatronics (ICOM ’08).
• DINO ISA, RAJPRASAD RAJKUMAR, 2008. Ultrasonic Sensor Data Processing using Support Vector Machines’ In: The First International Workshop On Nonlinear Dynamics And Synchronization (INDS08).
• DINO ISA and RAJPRASAD RAJKUMAR, 2008. Ultrasonic Sensor Data acquisition for pipeline defect detection Journal on Electrical Engineering. 2(1), 14-20
• ZAIDAH IBRAHIM, DINO ISA, RAJPRASAD RAJKUMAR, 2008. Text and Non-text Segmentation and Classification from Document Images In: 2008 International Conference on Computer Science and Software Engineering (CSSE 2008).
• ISA, D., RAJKUMAR, R. and WOO, K.C., 2007. Defect detection in oil and gas pipelines using the Support Vector Machine’ The 6th WSEAS International Conference on Circuits, Systems, Electronics, Control and Signal Processing (CSECS’07). 162-168