Courses Taught to Under-Graduate (UG)
Distributed Systems, Operating system, Computer Networks, Network Engineering, Artificial Neural Network, Genetic Algorithm, Multimedia storage and Communication, Data structure, Data Communication, Information Security, Free and Open Source Softwares, Soft Computing, Cyber Law and Security, Unix OS, Network Programming, Unix Internals, Cloud computing 2023, Agile Tools and Practices, IT project management, IT Infrastructure Management
Courses Taught to Post-Graduate (PG)
UNIX Network Programming, ISSR, Steganography, Advanced Computer Network, Unix Internals, AIML for Data Science
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: 02 completed :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