Dr. Yugal Kumar
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Dr. Yugal Kumar

Assistant Professor
Jaypee University of Information Technology, India

Highest Degree
Ph.D. in Computer Science and Engineering from Birla Institute of Technology, India

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Area of Interest:

Computer Sciences
100%
Information Technology
62%
Clustering
90%
Data Mining
75%
Optimization
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Kumar, Yugal and G. Sahoo, 2016. Improved Cat Swarm Optimization Algorithm based on Opposition based learning and Cauchy Operator for Clustering. J. Inf. Process. Syst., .
  2. Kumar, Yugal and G. Sahoo, 2016. Gaussian cat swarm optimization algorithm based on monte carlo method for data clustering. Int. J. Comput. Sci. Eng., 9: 117-141.
  3. Kumar, Yugal and G. Sahoo, 2016. A Hybridize Approach for Data Clustering Based on Cat Swarm Optimization. Int. J. Inf. Commun. Technol., 10: 9-28.
  4. Kumar, Y., S. Gupta, D. Kumar and G. Sahoo, 2016. A Clustering Approach Based on Charged Particles. In: Optimization Algorithms-Methods and Applications, Baskan, O. (Ed.). Chapter 11, InTech Publishers, Croatia, ISBN 978-953-51-2593-8, pp: 245-263.
  5. Kumar, Y., S. Gupta and G. Sahoo, 2016. A Clustering Approach Based on Charged Particles. Int. J. Software Eng. Appl., 10: 9-28.
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  6. Gambhir, S., S.K. Malik and Y. Kumar, 2016. Role of Soft Computing Approaches in HealthCare Domain: A Mini Review. J. Med. Syst., 40: 287-307.
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  7. Dahiya, N., S. Dalal, S. Khatri and Y. Kumar, 2016. Cat swarm optimization: Applications and experimental illustrations to data clustering. Int. J. Control Theory Applic., 9: 759-765.
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  8. Kumar, Y., A. Jakhar and R. Yadav, 2015. Analysis of Routing Protocols for Vehicular Ad-hoc Network. Scholar Press, Germany, ISBN-13: 978-3-639-51910-5, Pages: 80.
  9. Kumar, Y. and G. Sahoo, 2015. Hybridization of magnetic charge system search and particle swarm optimization for efficient data clustering using neighborhood search strategy. Soft Comput., 19: 3621-3645.
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  10. Kumar, Y. and G. Sahoo, 2015. Application of Charge System Search Algorithm for Data Clustering. In: Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis and Image Processing, Kamila, N.K. (Ed.). Chapter 18, IGI Global Publisher, USA., ISBN-13: 9781466686540, pp: 383-399.
  11. Kumar, Y. and G. Sahoo, 2015. A hybrid data clustering approach based on improved cat swarm optimization and K-harmonic mean algorithm. AI Commun., 28: 751-764.
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  12. Sahoo, A.J. and Y. Kumar, 2014. Seminal quality prediction using data mining methods. Technol. Health Care, 22: 531-545.
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  13. Kumar, Yugal and A.J. Sahoo, 2014. A Modified TLBO Method for Data Clustering. Adv. Intell. Syst. Comput., 264: 429-437.
  14. Kumar, Y. and G. Sahoo, 2014. An Initialization Method for K-Means Algorithm Using Binary Search Technique. Int. J. Soft Comput., 9: 131-137.
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  15. Kumar, Y. and G. Sahoo, 2014. A review on gravitational search algorithm and its applications to data clustering and classification. Int. J. Intell. Syst. Appl., 6: 79-93.
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  16. Kumar, Y. and G. Sahoo, 2014. A new initialization method to originate initial cluster centers for K-Means algorithm. Int. J. Adv. Sci. Technol., 62: 43-54.
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  17. Kumar, Y. and G. Sahoo, 2014. A hybrid data clustering approach based on cat swarm optimization and K-harmonic mean algorithm. J. Inform. Comput. Sci., 9: 196-209.
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  18. Kumar, Y. and G. Sahoo, 2014. A charged system search approach for data clustering. Prog. Artif. Intell., 2: 153-166.
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  19. Kumar, Y. and G. Sahoo, 2014. A chaotic charged system search approach for data clustering. Inf., 38: 249-261.
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  20. Kumar, Y. and G. Sahoo, 2013. Prediction of different types of liver diseases using rule based classification model. Technol. Health Care, 21: 417-432.
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  21. Yadav, G., Y. Kumar and G. Sahoo, 2012. Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software. Int. J. Comput. Appl., 51: 7-18.
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  22. Rana, R.S, K. Yugal and K. Dharmander, 2012. Method and Technique of Digitized Land Record Verification using Android Application. IJCST, 3: 50-51.
  23. Kumar, Yugal and G. Sahoo, 2012. Analysis of Parametric & Non Parametric Classifiers for Classification Technique using WEKA. Int. J. Inf. Technol. Comput. Sci., 4: 43-49.
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  24. Kumar, Yugal and D. Kumar, 2012. Analysis of classification algorithms/Technique in Data Mining using Weka. Int. J. Sci. Eng. Technol., 2: 1-4.
  25. Kumar, Y., P. Kumar and A. Kadian, 2011. A survey on routing mechanism and techniques in vehicle to vehicle communication (VANET). Int. J. Comput. Sci. Eng. Surv., 2: 135-144.
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  26. Kumar, Y. and D. Kumar, 2011. Parametric Analysis of Nature Inspired Optimization Techniques. Int. J. Comput. Appl., 32: 42-49.
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  27. Geeta, Y., K. Yugal and G. Sahoo, 2011. Predication of Parkinson`s disease-using data mining methods: a comparative analysis of tree, statistical, and support vector machine classifiers. Indian J. Med. Sci., 65: 231-242.
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  28. Kumar, Yugal, S. Yadav and R. Yadav, 2010. Fuzzy set in business process management as reference model. Global J. Comput. Sci. Technol., 10: 24-27.
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