Scholar
Vispi Karkaria
Google Scholar ID: 6ZxujUkAAAAJ
Northwestern University
Machine Learning
Data Driven Design
Statistics
AI
Time Series Analysis
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Citations & Impact
All-time
Citations
286
H-index
9
i10-index
7
Publications
20
Co-authors
7
list available
Contact
Email
vispikarkaria127@gmail.com
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Publications
1 items
Digital Twin-enabled Multi-generation Control Co-Design with Deep Reinforcement Learning
2025
Cited
0
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.
Co-authors
7 total
Co-author 1
Wei Chen
Northwestern University
Robert X. Gao
Case Western Reserve University
Jian Cao
Northwestern University
Qi Zhu
Professor of Computer Engineering
Co-author 6
Yue Yu
Professor of Applied Mathematics, Lehigh University
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