Dr K Raghavendar
Associate Professor
| Department of Computer Science and Engineering
ACE Engineering college
Telangana
Expertise:
Computer Science Software Engineering
14
Publications
0
Projects
121
Scopus Citations
103
CrossRef
8 Years 3 Months Total Experience
Scopus
121
Citations
5
h-index
CrossRef
103
Citations
5
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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AIMER
IndividualPersonal Details
Doctor of Philosophy
2024
Priyadarshini Engineering College
Master of Technology
2015
N/A
Bachelor of Technology
2012
N/A
Associate Professor
May 2026 – Present
ACE Engineering college
| Department of Computer Science and Engineering
Assistant Professor
Jan 2023 – May 2026
Teegala Krishna Reddy Engineering College
| Department of Computer Science and Engineering
Assistant Professor
Mar 2021 – Sep 2021
Keshav Memorial Institute of Technology
Assistant Professor
Jan 2017 – Dec 2020
Avanthi Institute of Engineering & Technology
Engineering and Technology
Scholarly Work
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MACHINE LEARNING BASED REAL TIME CONTROL OF LAUNCH VEHICLES USING WIRELESS SENSOR NETWORK
K Raghavendar
-
Application No. :
202441071116
Filed :
20-09-2024
Published :
04-10-2024
Published
BLOCK CHAIN-BASED FRAMEWORK FOR ANALYZING THE SECURITY AND PRIVACY OF IOT DEVICES FOR FUTURE ENHANCEM
K Raghavendar
-
Application No. :
202441025043
Filed :
28-03-2024
Published :
05-04-2024
Published
MACHINE LEARNING CLASSIFIER ON CHRONIC KIDNEY DISEASE
St.Martin's Engineering College
-
Patent No. :
202441007148
Filed :
30-11--0001
Published :
30-11--0001
Published
Scholarly Publications
Dynamic RL-ACO: Reinforcement Learning-based Ant Colony Optimization for Load Balancing in Cloud Networks
Enhancing the Detection of Deepfake Audio Using Explainable AI Techniques for Secure and Trustworthy Applications
Early Detection and Prevention of Hypoglycemic Episodes in Diabetics Using Random Forest Algorithm
An Intelli BEF: An Intelligent Bio-Inspired Energy-Efficient and Fault-Tolerant Routing for IoT-Enabled WSNs
Dynamic Tumor Analysis Using Deep Embedded Clustering (DEC) for Personalized Oncology Treatment
Optimizing Cloud-Based IoT Architectures with an Energy-Sensitive Load Balancing Algorithm for Enhanced Resource Utilization and Network Efficiency
Blockchain Anchored Federated Learning and Tokenized Traceability for Sustainable Food Supply Chains
Holographic Counterpart-Based Real-Time Monitoring for UAV-Assisted Disaster Management
Showing 1 to 8 of 14 publications