Mr. Rahul Roy

Education

Work Experience

Research Interests

• Programming language
• Database Management Systems
• Graphics
• Artificial Intelligence
• Machine Learning
• Pattern Recognition
• Data Mining
• Image Processing
• C
• C++
• Java
• Python
• Matlab
• Shell scripting
• LATEX
• Machine Learning
• Pattern Recognition
• Data Mining
• Computational Intelligence
• Medical Image Analysis

Publications

1. Roy, R., Ghosh, S., Ghosh, A., Speckle de-noising of clinical ultrasound images based on fuzzy spel conformity in its adjacency. Applied Soft Computing, 73, 394-417 2018.
2. Dehuri, S., Roy, R., Cho, S. -B, Ghosh, A., An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification. Journal of Systems and Software 85(6): 1333-1345 (2012)
3. Roy, R., Dehuri, S., Cho, S. -B., A novel particle swarm optimization algorithm for multi-objective combinatorial optimization problem. International Journal of Applied Metaheuristic Computing, 2(4),: 41-57 (2011)
4. Das, M. N., Roy, R., Dehuri, S., Cho, S. -B., A new approach to associative classification based on binary multi-objective particle swarm optimization., International Journal of Applied Metaheuristic Computing, 2(2),: 51-73 (2011)
5. Sharma, P. K., Roy, R. (2010). A data warehouse for mining usage pattern in library transaction data. International journal of science and technology: physical science ant technology, 6(2): 125-129, Assam university.
6. Roy, R., Ghosh, S., & Ghosh, A.,(2018) Salient Object Detection based on Bayesian Surprise of Restricted Boltzmann Machine, 11th Indian Conference on Computer Vi- sion, Graphics and Image Processing (ICVGIP 2018), Hyderabad, 2018 (accepted).
7. Subba, P., Ghosh, S., & Roy, R., (2017) Partitioned-Based Clustering Approaches for Single Document Extractive Text Summarization, In proceedings of Interna- tional Conference on Mining Intelligence and Knowledge Exploration, pp.297-307, Hyderabad.
8. Roy, R., Ghosh, S., Cho, S. -B., & Ghosh, A.,(2017) Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer, In proceedings of International Conference on Mining Intelligence and Knowledge Exploration,pp. 144-155, Hyderabad.
9. Roy, R., & Ghosh, A.,(2014) Rule induction based object tracking. In proceedings of Advances in Computing, Communications and Informatics, pp. 1871 - 1875, Delhi
10. Roy, R., Das, M.N., Dehuri, S., (2011) A Combinatorial Multi-objective Particle Swarm Optimization based Algorithm for Task Allocation in Distributed Computing Systems, In proceedings of International conference on Advanced Computing and Communication(ACC 2011), pp. 113-125, kochi
11. Dehuri, S., Roy, R., & Cho, S. -B (2011) An Adaptive Binary PSO to Learn Bayesian Classifier for Prognostic Modelling of Metabolic Syndrome, In proceedings of the 13th annual conference companion on genetic and evolutionary computation, pp. 495-502, Dublin, Ireland
12. Mishra, B., Addy, A. K., Roy, R., dehuri, S., & Cho, S. B. (2011). Parallel Multi- objective Genetic Algorithm for Associative Classification Rule Mining. In pro- ceedings of International Conference on Communication Computing and Security (ICCCS 2011). pp. 409-414, Rourkela.
13. Mishra, B., Roy, R., Dehuri, S., & Cho, S. (2011). Serial and Parallel Genetic Based Learning Algorithm for Bayesian Classifier to Predict Metabolic Syndrome. In proceedings of the Fourth Annual ACM Bangalore Conference (COMPUTE 2011). pp. 1:1{1:6, Bangalore : 2011