Mr. Muhammad Waqas Arshad | Quantum Computing | Best Researcher Award
PhD Researcher, University of Bologna, Italy
Muhammad Waqas Arshad is a passionate Research Scholar specializing in Artificial Intelligence, Quantum Computing, and Data Science ๐๐ก. 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 ๐๐ฌ. 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 ๐๐บ๐ธ.
Publication Profile
Education ๐
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 ๐ฎ๐น (2022-Present) ๐๏ธ. He holds an MS in Artificial Intelligence (Creative Technologies) from Air University, Islamabad, Pakistan ๐ต๐ฐ (2019-2022) ๐. His journey in computer science began with a BS-IT from Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan (2015-2019) ๐. His multidisciplinary expertise enables him to tackle complex research problems with a strong computational foundation.
Experience ๐ผ
With extensive research experience, Muhammad Waqas Arshad is currently a Visiting Scholar in Computer Science at Purdue University Fort Wayne, USA ๐๐ป. He has been actively involved in advanced AI applications and quantum computing methodologies, focusing on intelligent optimization techniques for automotive systems and energy forecasting ๐ฌ๐. His work spans various international collaborations, contributing to scientific advancements in multi-objective optimization, AI-driven decision-making, and machine learning algorithms ๐ค๐.
Awards and Honors ๐
Muhammad Waqas Arshad has received several academic and professional accolades for his contributions to research and technology ๐. His innovative research publications and active participation in AI and quantum computing conferences have earned him recognition in the global research community ๐. As a dedicated IEEE member and General Secretary at ISOC-BSIG, he has made significant contributions to scientific communities and AI-driven technological advancements ๐.
Research Focus ๐ฌ
His research interests primarily revolve around Artificial Intelligence, Quantum Computing, and Data Science ๐ง ๐ก. He specializes in AI-driven automotive engineering, intelligent transportation systems, and energy-efficient solutions for electric vehicle charging stations โก๐. Additionally, he explores multi-objective optimization using AI and quantum approaches, aiming to enhance real-world decision-making processes ๐๏ธ๐. His work integrates machine learning, deep learning, and computational intelligence to drive scientific and industrial breakthroughs ๐๐.
Conclusion ๐
Muhammad Waqas Arshad is a visionary researcher committed to bridging the gap between theoretical research and industrial innovation ๐๐ฏ. His pioneering work in AI, quantum computing, and data science is shaping the future of intelligent systems and automation ๐๐ค. With a strong academic background, international research experience, and a passion for technology, he is actively contributing to the next generation of computational advancements ๐โก.
Publications ๐๐
Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review (2025) – Published in Machines ๐๏ธ ๐DOI: 10.3390/machines13030204
Optimization of Double Wishbone Suspension: Evaluating the Performance of Classes of Algorithms (2024) – ICAMCS Conference ๐ฌ ๐DOI: 10.1109/icamcs62774.2024.00025
AI-Driven Energy Forecasting for Electric Vehicle Charging Stations Powered by Solar and Wind Energy (2024) – Smart Grid Conference โก ๐DOI: 10.1109/icsmartgrid61824.2024.10578078
Comparative Analysis of MOORA and GRA with PIPRECIA Weighting in Warehouse Head Selection (2024) – BEES Journal ๐ฆ ๐DOI: 10.47065/bees.v4i3.4922
Combination of Multi-Attributive Ideal-Real Comparative Analysis and Rank Order Centroid in Supplier Performance Evaluation (2024) – KLIK Journal ๐
Detection of Human Gender from Eye Images Using DNN Approach (2023) – Teknoinfo Journal ๐๏ธ
Role of AI in Decision Making and Its Socio-Psycho Impact on Jobs, Project Management, and Business of Employees (2023) – Journal for ReAttach Therapy ๐ข
Applications of Quantum Computing in the Health Sector (2023) – Journal of Data Science and Intelligent Systems ๐ฅ ๐DOI: 10.47852/bonviewJDSIS3202656
Prediction and Diagnosis of Breast Cancer Using Machine Learning and Ensemble Classifiers (2023) – Open Science Framework ๐๏ธ ๐DOI: 10.17605/OSF.IO/9CFN6
Advanced Face Detection Using Machine Learning and AI-Based Algorithm (2022) – IC3I Conference ๐ค ๐DOI: 10.1109/ic3i56241.2022.10072527