Courses Taught to Under-Graduate (UG)
1. Distributed Systems
2. Operating system
3. Compute Networks
4. Network Engg.
5. Artificial Neural Network
6. Genetic Algorithm
7. Multimedia storage and Communication
8. Data structure
9. Data Communication
10. Information Security
11. Free and Open Source Softwares
12. Soft Computing
13. Cyber Law and Security
14. Unix OS
15. Network Programming
16. Unix Internals
Courses Taught to Post-Graduate (PG)
UNIX Network Programming, ISSR, Steganography, Advanced Computer Network, Unix Internls.
No of UG student project guided: 64
No of UG student guided: 180
No of PG student guided (completed): 18 In process:
No of Ph.D. guiding: Nil
No. Ph.D. Thesis evaluated: 02
Research Interests:
Evolutionary Algorithm, Parallel Genetic Algorithm on multicore/HPC, Parallel Programming, Steganography, computer networks.
UG projects are based on following area interest, some sample name are given.
1. Iris recognition using hadoop image processing interface
2. Parallel teaching learning based optimization
3. TLBO on Hadoop
4. Jaya on Hadoop (map-reduce )
5. Implementation and analysis of Firefly algorithm for function optimization
6. Runner Root Algorithm for Function optimization (Gear optimization and 7 truss structure design optimization problem)
7. Genetic Algorithm on Hadoop
8. GeHeIMNiS: An approach towards data confidentiality through the process of Steganography.
9. Image Steganography With Pixel-Value Differencing
10. Audio Steganography Using Random Insertion Technique
11. Maternity home Nitawe hospital, Sangli
12. DPGA for function optimization
13. Parallel LSB
14. Parallel ALSB
15. Parallel Enhanced LSB
16. Question Paper Quality checking tool
17. Containerization of Evolutionary algorithms
18. EA on Docker
19. MADM : AHP, R -, Method