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Muhammad Waqas Arshad

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Associate Researcher

Purdue University Fort Wayne

United States

Research Interests

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Recent Grants

Grant: Close

Ministerial Decree No. 352 through [National Recovery and Resilience Plan (NRRP)] (funded by European Union’s NextGenerationEU) under Mission 4 “Education and Research,” Component 2 “From Research to Business,” Investment 3.3, in collaboration with Ferrari S.p.A., under grant no. 2933.

Open Date: 2022-11-01

Close Date: 2025-10-01

Articles (20)

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Collaborators (5)

KangYoon Lee

Professor

Gachon University

SOUTH KOREA

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Sanjeev Kumar Thalari

PROFESSOR & HOD

Global Academy of Technology

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Syed Rizwan Hassan

Gachon University

SOUTH KOREA

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STEFANO LODI

Associate Professor

University of Bologna

ITALY

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David Liu

Associate Professor

Purdue University Fort Wayne

UNITED STATES

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Muhammad Waqas Arshad

Research Interests

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Recent Grants

Articles (20)

CAGE-QMol: A Constraint-Aware Quantum-Inspired Optimization Framework for Brain-Penetrant Multi-Target Alzheimer’s Drug Discovery

Calibration-aware gating for budgeted LLM supervision in graph neural network link prediction

Gradient-Based Camber Optimization of a Five-Link Suspension: Modeling, Analysis, and Benchmarking

HPC: A Computational Benchmark of Classical, Parallel, and Hybrid Metaheuristics for QUBO-Based Suspension Geometry Optimization

Cutting-Edge Malware Detection in Healthcare: Leveraging Cascaded-AlexNet Model

Design and Multi-Objective Kinematic Optimization of 3D Double Wishbone Suspensions Using an Ensemble Optimization Technique

YOLOv11-SAMNet: A Hybrid Detection and Segmentation Framework for Urine Sediment Analysis

Double Wishbone Suspension: A Computational Framework for Parametric 3D Kinematic Modeling and Simulation Using Mathematica

Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review

An Advanced Hybrid Optimization Algorithm for Vehicle Suspension Design Using a QUBO-SQP Framework

A Hybrid Quantum-Classical Approach Using D-Wave and SLSQP for Double Wishbone Suspension System Optimization

A Hybrid Genetic Algorithm and Hidden Markov Model-Based Hashing Technique for Robust Data Security

An Integrated Federated Learning Framework with Optimization for Industrial IoT Intrusion Detection

Quantum Machine Learning for Classification of Left Ventricular Ejection Fraction Phenotypes from Echocardiograms

Quantum computing in the automotive industry: survey, challenges, and perspectives

AI-Driven Energy Forecasting for Electric Vehicle Charging Stations Powered by Solar and Wind Energy

Optimization of Double Wishbone Suspension: Evaluating the Performance of Classes of Algorithms

Comparative Analysis of the Combination of MOORA and GRA with PIPRECIA Weighting in the Selection of Warehouse Heads

Decision Support System in Teacher Pedagogy Assessment Using MAIRCA with Geometric Mean Weighting

Applications of Quantum Computing in Health Sector

Collaborators (5)

KangYoon Lee

Sanjeev Kumar Thalari

Syed Rizwan Hassan

STEFANO LODI

David Liu

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