Vispi Karkaria
Scholar

Vispi Karkaria

Google Scholar ID: 6ZxujUkAAAAJ
Northwestern University
Machine LearningData Driven DesignStatisticsAITime Series Analysis
Citations & Impact
All-time
Citations
286
 
H-index
9
 
i10-index
7
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Research Experience
  • RAG-Based AI Pharmacist Assistant (2023–Present): End-to-end RAG assistant for medication counseling with safety guardrails and high recall.
  • Multi-Agent LLM System for Automated Optimization (2023–Present): API-based system using agentic AI and RAG to select and apply optimization solvers.
  • Attention-Based Spatio-Temporal Neural Operator (2024–Present): Improved neural operator accuracy with temporal–spatial attention and federated learning.
  • RL-Transformer Tire Resource Allocation (2023–Present): Combined RL and Transformers for real-time tire lifespan prediction and health management.
  • Bayesian Optimization for Time-Series (BOTS) (2022–2024): Transformer surrogate model for faster AM prediction with UQ.
  • Latent-Variable Constrained Bayesian Optimization (LV-CBO) (2022–2023): Handled mixed-variable BO via latent variables, improving efficiency and reducing cost.
  • Tire Lifespan Prediction via Random Forest (2021–2023): Robust RF pipeline with advanced data balancing techniques.
  • LSTM for Streamlining AM (2022–2023): LSTM surrogate reduced latency; built big-data infrastructure for process data.
  • ML to Enhance Super-Capacitor Lifespan (2020–2023): DL models for output prediction and gradient-based design optimization.