About
Meetu is a PhD researcher in Data Science at Harrisburg University of Science and Technology and a Data Analytics Principal at S&P Global, with over 17 years of industry experience. She builds AI‑driven predictive models and optimization frameworks that power decision intelligence, scalable analytics, and actionable insights for real‑world impact. She holds a master’s degree in data science and is an IEEE Senior Member, Chair of the IEEE Women in Engineering Charlotte Affinity Group, and a mentor in the StemUp network. Actively engaged in the community, she regularly publishes and peer‑reviews research, writes technical books and articles, and speaks on data science and AI at professional forums.
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Publications (34)
- Quantum Algorithmic Threats and Countermeasures in Cloud and IoT Security Save
- Big Data and IoT in Public Health Management Save
- Carbon Footprint Reduction with AI in Cloud Data Centers Save
- Collaborative Care: Federated Learning as a Catalyst for Healthcare Advancements Save
- Development of Active Learning based Classification Model for Detection of Pneumonia using X-ray Image Save
- Generative AI for Higher Education: A Practical Framework for Ethical Integration Save
- The Calibration Gap: Model-Specific Confidence Thresholds for Reliable Customer Service LLMs Save
- Deploying and Scaling Defect Detection Models Save
- From Traditional Debugging to Generative Intelligence in the Evolution of Defect Detection With LLMs Save
- Real-World Implementations of Large Language Models Save
- GA-AGN: A generative adversarial network and attention gated network model for enhanced lung cancer detection using chest CT scans Save
- Guardians of the Grid Save
- AI-Powered Harmony Save
- Cyber Bullying in the Digital Age Save
- - Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization Save
- A Mini Review on Smart Hydrogen: The Role of AI in Revolutionizing Green Hydrogen Systems Save
- AI–Powered Harmony: Pioneering Safer Social Platforms Save
- Automating Software Defect Detection Through Machine Learning and LLMs Save
- Balancing Automation and Human Oversight in Healthcare AI Save
- Bridging Emotions and Architecture: Sentiment Analysis in Modern Distributed Systems Save