Author

Sooraj George Thomas

Observed name: Thomas, Sooraj George

Observed institution: The University of Texas at Austin

ORCID: 0009-0004-0729-1151

Observed ORCID: 0009-0004-0729-1151

OpenAlex ID: A5055475440

Beyond the Cloud: Federated Learning and Edge AI for the Next Decade

2025 · Sooraj George Thomas, Praveen Kumar Myakala · Journal of Computer and Communications · 38

PDF

AI for Sustainable Data Engineering: Optimizing Distributed Training Workloads with Cloud-Native Automation

2025 · Sooraj George Thomas, Nirmal Sajanraj, et al. · International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) · 12

Advancements in Zero-Shot and Few-Shot Learning: Challenges and Future Directions

2025 · Praveen Kumar Myakala, Anil Kumar Jonnalagadda, et al. · International Conference on Circuit, Power and Computing Technologies · 7

Intent-Driven Decentralization: Architectures for Private, Scalable, and Autonomous Systems

2025 · Praveen Kumar Myakala, Anil Kumar Jonnalagadda, et al. · Global Conference in Emerging Technology (GINOTECH) · 6

Federated Learning Meets Data Lakehouse: Privacy-Preserving ML with Serverless Cloud Databases

2025 · Gokul Narain Natarajan, Nirmal Sajanraj, et al. · IEEE Global Conference on Wireless Computing and Networking (GCWCN) · 3

Swarm-Based Federated Learning for Scalable Optimization of Edge and Cloud Resource Allocation

2025 · Sooraj George Thomas, Satya Prakash, et al. · International Conference on Intelligent Technologies (CONIT) · 3

Quantum-Federated Threat Detection in Multi-Cloud Data Lakes: A Zero-Trust Security Approach

2025 · Sooraj George Thomas · IEEE Global Conference on Wireless Computing and Networking (GCWCN) · 2

Autonomous Data Quality Monitoring with AI Agents: Integrating ML with Cloud Warehouses and Data Lakes

2025 · Srinivas Chippagiri, Karan Alang, et al. · International Conference on Computing Technologies & Data Communication (ICCTDC) · 2

Prompt Engineering Meets Data Engineering: Optimizing AI Pipelines for Conversational Analytics in Cloud

2025 · Nagarjuna Nellutla, Balaji Krishnan, et al. · Asian Conference on Intelligent Technologies (ACOIT) · 1

SynthSentry: Detecting Synthetic Data Contamination in Language Model Training Data

2026 · Myakala, Praveen Kumar, Namburi, Ravichandra, et al. · arXiv (Cornell University)

PDF

Adaptive Noise Suppression Using TinyML and Reinforcement Learning

2026 · Nenavath Pavan, Shiek Ruksana, et al. · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Operationalizing the Quantum-Federated Lifecycle: An Integrated MLOps Framework for Distributed Systems

2026 · Aishwarya Rajkumar Shah, Sooraj George Thomas, et al. · International Conference on Intelligent Technologies (CONIT)

Explainable AI for Autonomous Anomaly Detection in Hybrid Cloud Data Infrastructure

2026 · Ravi Teja Gurram, Sooraj George Thomas, et al. · International Conference on Intelligent Technologies (CONIT)

Federated Learning with Homomorphic Encryption for Privacy-Preserving Predictive Analytics on Distributed Enterprise Data

2026 · Sooraj George Thomas, Ravi Teja Gurram, et al. · International Conference on Data Science for Cyber-Physical Systems Resilience using Advanced Applications (ICDCA)

LLM-Assisted Data Engineering: Automating Quantum Feature Pipelines Across Heterogeneous Cloud Platforms

2026 · Sooraj George Thomas, Tarun Vishwanath Chincholi, et al. · International Conference on Data Science for Cyber-Physical Systems Resilience using Advanced Applications (ICDCA)

Zero-Shot CICD: Deploying LLMs with No Training via Fine-Grained Prompt Engineering

2025 · Venkata Vijay K Paruchuru, Naveen Prakash Kandula, et al. · International Conference on Electronics and Computing, Communication Networking Automation Technologies (ICEC2NT)

Works count: 16

Citation count: 74

H-index: 4

I10-index: 2