13 citations · 25 across the 16 of their papers we have counts for
7 papers · 1 filter
Intelligent Human-Machine Partnership for Manufacturing: Enhancing Warehouse Planning through Simulation-Driven Knowledge Graphs and LLM Collaboration
Himabindu Thogaru, Saisubramaniam Gopalakrishnan, Zishan Ahmad +1
Manufacturing planners face complex operational challenges that require seamless collaboration between human expertise and intelligent systems to achieve optimal performance in mod…
A Multi-Objective Genetic Algorithm for Healthcare Workforce Scheduling
Vipul Patel, Anirudh Deodhar, Dagnachew Birru
Workforce scheduling in the healthcare sector is a significant operational challenge, characterized by fluctuating patient loads, diverse clinical skills, and the critical need to…
DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting
Owais Ahmad, Milad Ramezankhani, Anirudh Deodhar
Accurate long-term traffic forecasting remains a critical challenge in intelligent transportation systems, particularly when predicting high-frequency traffic phenomena such as sho…
Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance
Rishi Parekh, Saisubramaniam Gopalakrishnan, Zishan Ahmad +1
Analyzing large, complex output datasets from Discrete Event Simulations (DES) of warehouse operations to identify bottlenecks and inefficiencies is a critical yet challenging task…
State of Health Estimation of Batteries Using a Time-Informed Dynamic Sequence-Inverted Transformer
Janak M. Patel, Milad Ramezankhani, Anirudh Deodhar +1
The rapid adoption of battery-powered vehicles and energy storage systems over the past decade has made battery health monitoring increasingly critical. Batteries play a central ro…
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations
Milad Ramezankhani, Janak M. Patel, Anirudh Deodhar +1
We present a novel graph-informed transformer operator (GITO) architecture for learning complex partial differential equation systems defined on irregular geometries and non-unifor…
Accelerated Gradient-based Design Optimization Via Differentiable Physics-Informed Neural Operator: A Composites Autoclave Processing Case Study
Janak M. Patel, Milad Ramezankhani, Anirudh Deodhar +1
Simulation and optimization are crucial for advancing the engineering design of complex systems and processes. Traditional optimization methods require substantial computational ti…