Associate Professor |
PhD : Andhra University, Visakhapatnam, 2026
M.E : CSE, Anna University, Chennai – 2004
FIE : CSE, the Institution of Engineers (India), Kolkata, 1998
Teaching Experience: 22 years
AICTE ID: 1-457748935
SVECW Employee ID: 1202
- Network Security
- Cryptography
- Life Member of Institution of Engineers (India), Kolkata
- Life member ISTE
Dr.S. Sreenivasu. “Privacy Enhanced Course Recommendations through Deep Learning in Federated Learning Environments.” International Journal of Information Technology, Springer Science and Business Media B.V., Jan. 2025. https://doi.org/10.1007/s41870-024-02087-3
- Seelamanthula Sreenivasu, Prof. James Stephen Meka published a paper “DAR Model: A Novel Symmetric Key Enabled Security architecture for reliable data transfer in Wireless Sensor Networks in International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 717–728. https://doi.org/10.17762/ijritcc.v11i10.8568
- Seelamanthula Sreenivasu, Prof. James Stephen Meka published a paper “FELZMACS: A Novel Data Compression Model in Wireless Sensor Networks for Fast Data Transfer “ in International Journal of Intelligent Systems and Applications in Engineering, 12(2), 214–224. https://ijisae.org/index.php/IJISAE/article/view/4244
- Seelamanthula Sreenivasu, Prof. James Stephen Meka published a paper “ A survey paper on key management scheme in Wireless Sensor Networks “ in Journal of Engineering Sciences, Page No: 1070-1103, DOI: 10.15433.JES.2023.V14I6.43P.167
- A patent published titled “Method for Secure Data Transmission in IoT Networks Using Block chain and Encryption Techniques” as an inventor on 18.10.2024 with Application no:202441075550
- A patent published titled “System and Method for Smart Privacy Management in IoT Healthcare Devices” as an inventor on 06.10.2024with Application no: 202441075548
- A patent published titled “A Machine Learning Based System to Optimized Cluster Head Selection in Wireless Sensor Networks and Method There of” as an inventor on 01.09.2023 with Application no: 202341043083
- Seelamanthula Sreenivasu, Prof. James Stephen Meka published an Indian patent “ A MACHINE LEARNING BASED SYSTEM TO OPTIMIZED CLUSTER HEAD SELECTION IN WIRELESS SENSOR NETWORKS AND METHOD THEREOF” with application id: 202341043083 dated 27th August 2023
- Seelamanthula Sreenivasu et.al published an Indian patent “ DML – Separating Data Device: Separating Data into their Corresponding Class using Biometric Dataset Machine Learning Classification Device{ with application id: 202041054863 dated 17th December 2020
- Participated in online FDP on ” Machine Learning Applications for Engineers”, Organized by Chaitanya Bharathi Institute of Technology,Hyderabad from 03.06.2024-07.06.2024
- Completed Two weeks workshop on Asymptotic Analysis of Algorithms, Organized by NIT, Warangal, from 19-10-2023-29-10-2023
- Participated in online FDP on ” Machine Learning Applications for Engineers” Organized by Chaitanya Bharathi Institute of Technology, Hyderabad in Technical Association with ACM Hyderabad Deccan Chapter, from 03.06.2024-07.06.2024
- Dr.S.Sreenivasu “Enhancing Data Sharing Security with Insider Threat Detection: A Hybrid Key Management Approach.” Lecture Notes in Networks and Systems, Springer Science and Business Media Deutschland GmbH, June 2025. https://doi.org/10.1007/978-981-96-2697-7_35.
- Dr.S.Sreenivasu. “Hybrid Multi-stage Network for Comprehensive Lung X-Ray Analysis.” ICT for Intelligent Systems: Proceedings of ICTIS 2025, Volume 7, Lecture Notes in Networks and Systems, Springer Singapore, Jan. 2026. https://doi.org/10.1007/978-981-96-9191-3_12.
- Dr.S.Sreenivasu “Video Transcript Condenser System.” Lecture Notes in Networks and Systems, Springer Science and Business Media Deutschland GmbH, Jan. 2026. https://doi.org/10.1007/978-981-96-9191-3_22.
- Dr..S.Sreenivasu“Automated Currency Validator.” Lecture Notes in Networks and Systems, Springer Science and Business Media Deutschland GmbH, Jan. 2026. https://doi.org/10.1007/978-981-96-8898-2_31.
- Dr.S.Sreenivasu. “Comprehensive Exploration of Generative Pre-trained Transformer.” Lecture Notes in Networks and Systems, Springer Science and Business Media Deutschland GmbH, July 2025. https://doi.org/10.1007/978-981-96-3372-2_34.
