Asit Kumar Das

Professor

Department of Computer Science and Technology

Academic Qualifications

• Ph.D., Bengal Engineering and Science University , 2011
• M. Tech. in Computer Science & Engineering, Calcutta University, 2002
• B. Tech. in Computer Science & Engineering, Calcutta University, 1996
• B. Sc. Honours in Mathematics, Calcutta University, 1993
• Higher Secondary, West Bengal Council of Higher Secondary Education, 1990
• Madhyamik, West Bengal Board of Secondary Education, 1988

Contact

Phone

1. (033) 26684561(extn-576)

Address

1. Email: akdas@cs.iiests.ac.in, dasasitkumar@gmail.com

Area of Research

• Data Mining and Pattern Recognition
• Social Networks
• Bioinformatics
• Machine learning and Soft Computing
• Text, Audio and Video data Analysis

Courses Undertaken

UG COURSE

• Introduction to Computing
• Data Structures and Algorithms
• Discrete Structures and Graph Theory
• Database Management Systems
• Data Mining

PG COURSE

• Design and Analysis of Algorithms
• Advanced Database Management Systems

Recent Publications 

1. Relevant Features Selection and Ensemble Classifier Design using Bi-Objective Genetic Algorithm, Knowledge and Information Systems (IF - 2.247), SCI indexed, Springer, 2018 (Accepted).
2. Feature Selection Generating Directed Rough-Spanning Tree for Crime Data Analysis, Neural Computing and Applications (IF - 4.213), SCI indexed, Springer, 2018.
3. Sparsity Measure of a Network Graph: Gini Index, Information Sciences (IF - 4.305), SCI indexed, Elsevier, 2018.
4. A group incremental feature selection for classification using rough set theory based genetic algorithm, Applied Soft Computing (IF- 3.907), SCI indexed, Elsevier, 2018.
5. A Modified Differential Evolution With Distance-based Selection for Continuous Optimization in presence of noise, IEEE Access (IF- 3.557), SCI indexed, 2018.
6. Ensemble Algorithms for Microblog Summarization, IEEE Intelligent Systems (IF - 2.596), SCI indexed, IEEE, 2018.
7. Cancer Classification by Gene subset selection from Microarray dataset, Journal of Universal Computer Science (IF - 1.066), SCI indexed, 2018.
8. Feature Selection based on Bi-objective Differential Evolution, Journal of Computing Science and Engineering, SCOPUS, 2018.
9. Particle Swarm Optimization based incremental classifier design for rice disease prediction, Computers and Electronics in Agriculture (IF - 2.427), SCI Indexed, Elsevier, 2017.
10. A Switched Parameter Differential Evolution with Optimal Blending Crossover for Scalable Numerical Optimization, Applied Soft Computing (IF- 3.907), SCI Indexed, Elsevier, 2017.

11. Attribute Selection for Improving Spam Classification in Online, International Journal of Social Network Analysis and Mining, Springer (IF- 1.24), SCOPUS, 2017.

12. Ensemble Feature Selection using Bi-objective Genetic Algorithm, Knowledge-Based Systems (IF- 4.396), SCI Indexed, Elsevier, 2017.

13. A Missing Value Estimation Technique of Microarray data using Cluster Analysis, Knowledge and Information Systems (IF - 2.247), SCI indexed, Springer, 2017.

14. Ensemble Classifier Design Selecting Important Genes based on Extracted features, International Journal of Data Mining and Bioinformatics (IF - 0.652) , SCI Indexed, Inder Science, 2017.

15. Rice diseases Classification using feature selection and rule generation techniques”, Computers and Electronics in Agriculture (IF - 2.427), SCI Indexed, Elsevier, 2013.
16. An Efficient Classifier Design Integrating Rough Set and Set Oriented Database Operations”, Applied Soft Computing (IF- 3.907), SCI Indexed, Elsevier, 2011.

Read More