Profile:

Krishna Sowjanya K is working as an Assistant Professor in the Department of Computer Science & Engineering. She is pursuing Ph.D. from Dayananda Sagar University. She has completed her M.Tech(CSE) from Sri Aditya college of engineering JNTUK, Andhra Pradesh and B.Tech(CSE) from Shri Vishnu Engineering College for women, JNTUK. She has 5.5 years of teaching experience. She has published papers in 2 international journals and 4 international conferences. Her areas of interest include Cloud Computing and Machine Learning.

Education Qualifications:

M.Tech (CSE), Sri Sai Aditya College of Engineering, JNTUK.

B.Tech (CSE), Shri Vishnu Engineering College for Women, JNTUK

Areas of Interest in Teaching:

Cloud Computing, Python , C , Java, Web Technologies, Data Structures, Computer Organization

Areas of Interest in Research:

Cloud Computing, IoT.

Publications:

1. Published a Paper entitled “A Homomorphic Encryption for preserving the privacy of Data Wearable Devices” in Indian Journal of Natural Sciences ISSN: 0976-0997 (Web of Science) on 14th June 2021.

2. Presented a Paper entitled “Layer 4 & Layer 7 Load Balancers in Cloud Computing”, in International Conference on “Emerging Trends in Electrical and Computing Technologies”, ICETEECT-21 on 30th June 2021.

3. Presented a Paper on “Software Load Balancers in Cloud: An Analysis” in International conference on Advance Modern Computing Trends and Technology”, ICAMCTT-2021 on 30th July 2021, DOI: https://ijartet.com/v8s01aug2021kristujyoti

4. Presented a Paper on “Container Based Cloud Computing” in ‘2nd International Conference On Science, Technology & Management (ICSTM – 2017)’ at Osmania University, Hyderabad.

5. Presented a paper on “Privilege Seperation and Isolation of Advertisement in Android Applications” in ‘International Journal of Latest Technology in Engineering, Management & Applied Science – July 2014’ at MVJCE, Bangalore. URL: https://www.ijltemas.in/DigitalLibrary/Vol.3Issue7/190-193.pdf

6. Published a Paper on “A Distributed Mining of Association Rules on Horizontally Partitioned Data by Preserving Privacy” in International Journal of Engineering Research & Technology (IJERT).

URL: https://www.ijert.org/a-distributed-mining-of-association-rules-on-horizontally-partitioned-data-by-preservingprivacy

7. KP, B. M., Sowjanya K K& Patwari, N. (2023, December). Deepkidney: Multiclass classification of kidney stones, cysts, tumors, and normal cases using convolutional neural networks. In 2023 4th International Conference on Communication, Computing and Industry 6.0 (C216) (pp. 1-5). IEEE. 

8. Manju, V. N., Aparna, N., & Krishna Sowjanya, K. (2023, August). Decision tree-based explainable AI for diagnosis of chronic kidney disease. In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 947-952). IEEE. 

9. Bindu Madavi, K. P., Krishna Sowjanya, K., Sardar, T. H., Reddy, M. S., & Nimmalapudi, S. R. (2025). Smart Traffic Systems: Revolutionizing Road Transport with AI and Image Processing. In Applications of Computational Learning and IoT in Smart Road Transportation System (pp. 185-198). Cham: Springer Nature Switzerland. 

10. Krishna Sowjanya, K., & Mouleeswaran, S. K. (2025). Enhancing cloud security with intelligent load balancing and malicious request classification. Cluster Computing, 28(1), 41. 

11. KP, B. M., Krishna Sowjanya K, & Patwari, N. (2024, November). A Time-based Secured Framework for Key-Exchange Between Trusted Parties: Quantum-Key Distribution Protocol. In 2024 IEEE Silchar Subsection Conference (SILCON 2024) (pp. 1-6). IEEE. 

12. Sowjanya, K. K., & Madavi, K. B. (2024). Preventive health care system for early heart disease detection using IoT and machine learning. In Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes (pp. 185-197). Cham: Springer Nature Switzerland. 

13. Madavi, K. B., & Sowjanya, K. K. (2024). DNA-Based Secure Image Transmission Framework Using Encryption and LSB Steganography. In Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes (pp. 315-327). Cham: Springer Nature Switzerland. 

14. Sowjanya, K. K., & Madavi, K. B. (2024). Large-Scale Data Processing in Cloud Computing Environment: Hadoop-MapReduce. In Big Data Computing (pp. 17-33). CRC Press. 

15. Madavi, K. B., & Sowjanya, K. K. (2024). Credit Card Fraud Detection Using Big Data Analytics and Machine Learning. In Big Data Computing (pp. 266-280). CRC Press. 

Patents:

1. Uncovered Manhole Detection and Alert System on Roads During Rain Fall. Application Number: 202241050160

2. Smart Surveillance System on Infrastructure Breach In Interior Residential Metropolitans Areas. Application Numbers: 202241050162 

3. Personalized Automatic Elevator Experience System Using Biometric/Smartcards.

Events Attended:

1.  5 Day FDP on “Next Gen Databases” by ATAL conducted by Bhilai Institite of Technology from 01-06-2021 to 05-06-2021.

2.  7 day FDP on “Mobile Application Development” conducted by Sai Ram College of Engineering from 31-05-2021 to 06-05-2021.

3.  One day webinar on “Art of writing highly indexed journals” conducted by Rathnam Technical Campus” on 14-05-2021.

4.  7-day FDP on “Programming on Python 3.4.3”, conducted by Spoken tutorials IIT Bombay, 16-04-2021 to 22 -04-2021.

5.  5 -day FDP on “Artificial Intelligence” conducted by Sridevi women’s Engineering college from 22-05-2021 to 26-05-2021.

6.  5 -day FDP on “Python Programming Workshop”, conducted by Velammal Engineering College from 30-05-2021 to 03- 05-2021.

Responsibilities :

1.  Class Advisor for one section.

2.   Course Coordinator for the course Computational Thinking with Python.

3.  News Letter Coordinator for CSE Department.

4.  Mentor for 30 Students.

5.  Coordinator for NAAC Criteria 1.

6.  Coordinator for AAA File 81.

7.  EMS Coordinator for CSE Department.

8.  Sports Coordinator for CSE Department.

9.  Coordinator for International Conference on Intelligent Computing and Communication (ICICC-2021) (https://icicc.co.in) sponsored by the Springer