3 citations · 3 across the 9 of their papers we have counts for
10 papers
QuanTiMedAI: Quantum-Enhanced Time-Series Model guided by Agentic AI for Cardiac Arrest Mortality Prediction
Mutasim Fuad Sarker, Adiba Rahman Namira, Wafa Binte Alam +3
Cardiac arrest remains one of the most lethal conditions encountered in intensive care units. Despite the growing availability of electronic health record data, existing mortality…
Do Latent Channels Actually Communicate? A Causal Audit of Latent Multi-Agent LLM
Huixiang Zhang, Mahzabeen Emu
Latent communication in large language model (LLM)-based multi-agent systems (MAS) transmits continuous internal representations instead of text, but greater representational capac…
Sim2Schedule: A Simulator-Guided LLM Framework for Autonomous Open-Pit Mine Scheduling
Mustavi Ibne Masum, Thiago Eustaquio Alves de Oliveira, Mahzabeen Emu
Open-pit mine scheduling is a critical process for maximizing economic return under complex geotechnical and operational constraints. While Mixed-Integer Linear Programming (MILP)…
Q-GARS: Quantum-inspired Robust Microservice Chaining Scheduling
Huixiang Zhang, Mahzabeen Emu
Microservice-based applications are characterized by stochastic latencies arising from long-tail execution patterns and heterogeneous resource constraints across computational node…
Quantum Takes Flight: Two-Stage Resilient Topology Optimization for UAV Networks
Huixiang Zhang, Mahzabeen Emu, Octavia A. Dobre
Next-generation Unmanned Aerial Vehicle (UAV) communication networks must maintain reliable connectivity under rapid topology changes, fluctuating link quality, and time-critical d…
Quantum-Guided Test Case Minimization for LLM-Based Code Generation
Huixiang Zhang, Mahzabeen Emu
Precisely controlling Large Language Models (LLMs) to generate efficient and concise code is a central challenge in software engineering. We introduce a framework based on Test-Dri…
Coherent Optical Quantum Computing-Aided Resource Optimization for Transportation Digital Twin Construction
Huixiang Zhang, Mahzabeen Emu
Constructing realistic digital twins for applications such as training autonomous driving models requires the efficient allocation of real-world data, yet data sovereignty regulati…
LLM-QUBO: An End-to-End Framework for Automated QUBO Transformation from Natural Language Problem Descriptions
Huixiang Zhang, Mahzabeen Emu, Salimur Choudhury
Quantum annealing offers a promising paradigm for solving NP-hard combinatorial optimization problems, but its practical application is severely hindered by two challenges: the com…
Restoring Rhythm: Punctuation Restoration Using Transformer Models for Bangla, A Low-Resource Language
Md Obyedullahil Mamun, Md Adyelullahil Mamun, Arif Ahmad +1
Punctuation restoration enhances the readability of text and is critical for post-processing tasks in Automatic Speech Recognition (ASR), especially for low-resource languages like…
Validating Optimal COVID-19 Vaccine Distribution Models
Mahzabeen Emu, Dhivya Chandrasekaran, Vijay Mago +1
With the approval of vaccines for the coronavirus disease by many countries worldwide, most developed nations have begun, and developing nations are gearing up for the vaccination…