SIVANANDA LAHARI REDDY ELICHERLA
CMR University
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · Blockchain Technology Applications and Security · Microbial bioremediation and biosurfactants
About
Dr. Sivananda Reddy is a distinguished IT professional with over 20 years of experience in Agile Transformation, Project Delivery, and Quality Assurance. He holds a Ph.D. in Computer Science and Technology, an M.Tech in IT, and an M.Sc. in Computer Science. Dr. Reddy has held leadership positions such as Vice President of Agile Transformation at ANZ Global Capability Centre and Agile Coach at ANZ Operations & Technology Pvt Ltd, where he led cross-functional teams, executed Agile Maturity Assessments, and improved organizational performance through role-based coaching.
His international exposure at AT&T Bell Laboratories has provided him with a global perspective, enabling him to deliver impactful results in diverse, cross-cultural environments. Dr. Reddy has a passion for teaching, having taught at Priyadarshini Degree & PG College where he covered a wide array of subjects, including Software Engineering, Design Analysis and Algorithms, and Operating Systems. He is committed to mentoring students and fostering a deeper understanding of advanced computing concepts.
As an accomplished researcher, Dr. Reddy has published numerous articles in journals such as the International Journal of Scientific Research and Development and the Journal of Xidian University, focusing on areas like Hybrid Cryptography and Data Security. His research reflects his drive to develop innovative security solutions for modern challenges.
Dr. Reddy’s work has been recognized with prestigious awards, including India’s Next 100 CIO Award (2023) and several performance accolades from IBM and ANZ. He is also certified as a Certified Independent Director and an Environmental and Social Governance (ESG) Expert, highlighting his commitment to governance and sustainability.
Dr. Reddy is now working on the role of Associate Professor in DSU- CSE(SOE) department, where he aims to leverage his industry experience and academic expertise to shape the next generation of IT leaders.
Employment
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CMR University Professor of Practice2026 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- FL-DPCSA: Federated learning with differential privacy for cache side-channel attack detection in edge-based smart grids Save
- Bridging Concepts to Reality: Tools and Technologies for Interpretable and Reliable AI Save
- Deep Reinforcement Learning for Energy Efficiency Optimization using Autonomous Waste Management in Smart Cities Save
- EFFICIENT SUPERVISED MACHINE LEARNING FOR CYBERSECURITY APPLICATIONS USING ADAPTIVE FEATURE SELECTION AND EXPLAINABLE AI SCENARIOS Save
- Enhanced Churn Prediction in Telecom using PCA-based Feature Reduction and Bagging Ensembles Save
- Integration of Multi-Dimensional Geospatial Data for Crop Recommendation and Precision Agriculture Save
- Machine Learning-Enabled Virtual Hiring Assistant Powered by Unigram Tokenization and Sentiment Analysis Save
- Optimizing Latency and Communication in Federated Edge Computing with LAFEO and Gradient Compression for Real-Time Edge Analytics Save
- Proof-of-Metrology (PoM): A Blockchain Consensus for Tamper-Proof Calibration in Adversarial Cyber-Physical Systems Save
- Secure and Adaptive Routing in Wireless Sensor Networks Using Meta-Router and TGAT-TrustChain Save
- Unveiling Customer Segments and Predicting Lifetime Value with Adaptive Gaussian Mixture Models Save
- Wine Quality Prediction using XGBoost with Polynomial Feature Expansion and SMOTE Save
- Blockchain Anchored Federated Learning and Tokenized Traceability for Sustainable Food Supply Chains Save
- Utilizing Machine Learning for the Identification of Chronic Heart Failure (CHF) from Heart Pulsations Save