PhD Researcher, University of Bologna, Italy
Muhammad Waqas Arshad is a passionate Research Scholar specializing in Artificial Intelligence, Quantum Computing, and Data Science 🌍💡. With a strong analytical mindset and a drive for innovation, he focuses on developing computational solutions for real-world challenges, particularly in intelligent transportation systems and automotive engineering 🚗🔬. He actively collaborates on interdisciplinary projects, bridging theoretical research with practical applications. As a researcher with a futuristic vision, he is dedicated to pushing the boundaries of emerging technologies and contributing to industrial advancements. Currently, he is a Visiting Scholar at Purdue University Fort Wayne, USA 🎓🇺🇸.
Publication Profile
Education 🎓
Muhammad Waqas Arshad has a rich academic background in Computer Science and Artificial Intelligence. He is currently pursuing a Ph.D. in Computer Science and Engineering at the University of Bologna, Italy 🇮🇹 (2022-Present) 🏛️. He holds an MS in Artificial Intelligence (Creative Technologies) from Air University, Islamabad, Pakistan 🇵🇰 (2019-2022) 📚. His journey in computer science began with a BS-IT from Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan (2015-2019) 🎓. His multidisciplinary expertise enables him to tackle complex research problems with a strong computational foundation.
Experience 💼
With extensive research experience, Muhammad Waqas Arshad is currently a Visiting Scholar in Computer Science at Purdue University Fort Wayne, USA 🌎💻. He has been actively involved in advanced AI applications and quantum computing methodologies, focusing on intelligent optimization techniques for automotive systems and energy forecasting 🔬🚀. His work spans various international collaborations, contributing to scientific advancements in multi-objective optimization, AI-driven decision-making, and machine learning algorithms 🤖📊.
Awards and Honors 🏅
Muhammad Waqas Arshad has received several academic and professional accolades for his contributions to research and technology 🌟. His innovative research publications and active participation in AI and quantum computing conferences have earned him recognition in the global research community 🏆. As a dedicated IEEE member and General Secretary at ISOC-BSIG, he has made significant contributions to scientific communities and AI-driven technological advancements 📜.
Research Focus 🔬
His research interests primarily revolve around Artificial Intelligence, Quantum Computing, and Data Science 🧠💡. He specializes in AI-driven automotive engineering, intelligent transportation systems, and energy-efficient solutions for electric vehicle charging stations ⚡🚘. Additionally, he explores multi-objective optimization using AI and quantum approaches, aiming to enhance real-world decision-making processes 🏗️🔎. His work integrates machine learning, deep learning, and computational intelligence to drive scientific and industrial breakthroughs 🚀📈.
Conclusion 🌟
Muhammad Waqas Arshad is a visionary researcher committed to bridging the gap between theoretical research and industrial innovation 🚀🎯. His pioneering work in AI, quantum computing, and data science is shaping the future of intelligent systems and automation 🌍🤖. With a strong academic background, international research experience, and a passion for technology, he is actively contributing to the next generation of computational advancements 📚⚡.
Publications 📚🔗
Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review (2025) – Published in Machines 🏎️ 🔗DOI: 10.3390/machines13030204
Optimization of Double Wishbone Suspension: Evaluating the Performance of Classes of Algorithms (2024) – ICAMCS Conference 🔬 🔗DOI: 10.1109/icamcs62774.2024.00025
AI-Driven Energy Forecasting for Electric Vehicle Charging Stations Powered by Solar and Wind Energy (2024) – Smart Grid Conference ⚡ 🔗DOI: 10.1109/icsmartgrid61824.2024.10578078
Comparative Analysis of MOORA and GRA with PIPRECIA Weighting in Warehouse Head Selection (2024) – BEES Journal 📦 🔗DOI: 10.47065/bees.v4i3.4922
Combination of Multi-Attributive Ideal-Real Comparative Analysis and Rank Order Centroid in Supplier Performance Evaluation (2024) – KLIK Journal 📊
Detection of Human Gender from Eye Images Using DNN Approach (2023) – Teknoinfo Journal 👁️
Role of AI in Decision Making and Its Socio-Psycho Impact on Jobs, Project Management, and Business of Employees (2023) – Journal for ReAttach Therapy 🏢
Applications of Quantum Computing in the Health Sector (2023) – Journal of Data Science and Intelligent Systems 🏥 🔗DOI: 10.47852/bonviewJDSIS3202656
Prediction and Diagnosis of Breast Cancer Using Machine Learning and Ensemble Classifiers (2023) – Open Science Framework 🎗️ 🔗DOI: 10.17605/OSF.IO/9CFN6
Advanced Face Detection Using Machine Learning and AI-Based Algorithm (2022) – IC3I Conference 🤖 🔗DOI: 10.1109/ic3i56241.2022.10072527