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20242026
most citedAccelerated Gradient-based Design Optimization Via Differentiable Physics-Informed Neural Operator: A Composites Autoclave Processing Case Study

3 citations · 4 across the 14 of their papers we have counts for

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cs.AI2026

From Metaheuristics to Exact Methods: A CP-SAT Approach for Multi-Objective Healthcare Workforce Scheduling

Vipul Patel, Anirudh Deodhar, Dagnachew Birru

Healthcare workforce scheduling is an NP-hard optimization problem requiring simultaneous satisfaction of labor regulations, coverage requirements, employee preferences and cost ob…

cs.AI2026

CP-WSP: A Declarative CP-SAT Framework for Configurable Multi-Constraint Workforce Scheduling

Vipul Patel, Anirudh Deodhar, Dagnachew Birru

Workforce scheduling is an NP-hard combinatorial optimization problem requiring simultaneous satisfaction of labor regulations, coverage requirements, employee preferences and oper…

cs.AI2026

PROTEUS: SLA-Aware Routing via Lagrangian RL for Multi-LLM Serving Systems

Amit Singh Bhatti, Vishal Vaddina, Dagnachew Birru

Production LLM deployments serve diverse workloads where cost and quality requirements vary by customer tier, time of day, and query criticality. Model serving systems accept laten…

cs.AI2026

Search-Based Risk Feature Discovery in Document Structure Spaces under a Constrained Budget

Saisubramaniam Gopalakrishnan, Harikrishnan P M, Dagnachew Birru

Enterprise-grade Intelligent Document Processing (IDP) systems support high-stakes workflows across finance, insurance, and healthcare. Early-phase system validation under limited…

cs.AI2026

Responsible AI for General-Purpose Systems: Overview, Challenges, and A Path Forward

Gourab K Patro, Himanshi Agrawal, Himanshu Gharat +4

Modern general-purpose AI systems made using large language and vision models, are capable of performing a range of tasks like writing text articles, generating and debugging codes…

cs.AI2025

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…