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Sandeep Konakanchi

Sandeep Konakanchi

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8
Publications
617
Reads
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6
Citations

Publications

Publications (8)
Article
Full-text available
AI has become useful in software development to help improve on code optimization/ refactoring exercises thus boosting on productivity, performance and sustainable maintainability. AI tools including CodeT5, Codex, Intel’s Neural Compressor, and Refactoring Miner help the developers to analyze the code, minimize it and advance refactoring engagemen...
Article
Full-text available
Cyberattacks on distributed microservices have become more elusive, and it is not enough to only monitor for these microservices but rather an active defense is necessary. In this paper, we present Predictive Cyber-Resilience (PCR), an AI-driven self-defending security framework that secures both cloud-native and edge environments. PCR uses Preempt...
Article
Real-time human-AI collaboration is revolutionizing emergency response, yet challenges remain in achieving seamless interaction at scale. This article explores an innovative approach leveraging scalable cloud platforms to enable effective collaboration between human responders and AI systems during critical incidents. Integrating cloud-native solut...
Article
Full-text available
The rapid evolution of AI-driven applications has created a pressing demand for next-generation low-latency cloud architectures capable of delivering real-time performance. This article explores innovative architectural designs and technologies that push the boundaries of traditional cloud systems to meet the stringent requirements of latency-sensi...
Article
Full-text available
The rapid evolution of autonomous vehicle networks demands advanced real-time data processing capabilities to ensure safety, efficiency, and seamless operation. This article presents a novel approach to real-time processing within these networks, leveraging scalable, low-latency cloud architectures and edge computing to support instantaneous data a...
Preprint
Full-text available
The field of drug discovery hinges on the accurate prediction of binding affinity between prospective drug molecules and target proteins, especially when such proteins directly influence disease progression. However, estimating binding affinity demands significant financial and computational resources. While state-of-the-art methodologies employ cl...

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