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 🌍💡. 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

Dr. Thu Ha Dao | quantum computation | Best Researcher Award

postdoc, Istituto Nazionale di Fisica Nucleare – Sezione di Roma Tor Vergata, Italy

🌟 Thu Ha Dao is a dedicated researcher specializing in silicon photonics and quantum technologies. Originally from Vietnam, she has gained extensive international experience through her academic journey and professional roles across Italy, Canada, and beyond. Her work focuses on advanced photonic integrated circuits (PIC) and cutting-edge applications in quantum computation. With numerous publications and active participation in international conferences, Thu Ha Dao is making a significant impact in the fields of industrial engineering and photonics.

Education

🎓 Thu Ha Dao holds a Bachelor’s degree in Physical Sciences from Hanoi University of Science (2012–2016) 🇻🇳. She completed her Master of Physics at the University of Camerino, Italy (2016–2019) 🇮🇹, focusing on spectroscopic modifications of nanoparticles for battery cathodes. She further advanced her expertise with a Ph.D. in Industrial Engineering at the University of Rome Tor Vergata (2020–2023) 🇮🇹, with a thesis on silicon photonics integrated circuits for quantum computation.

Experience

💼 Thu Ha has worked in prominent research roles, including as a researcher at Tor Vergata University, Italy, where she contributed to the NARAs project on nanotechnology applications in water arsenic detection. Currently, she serves as a PostDoc Researcher at INFN sezione Roma Tor Vergata, contributing to the QUANTEP project. Her expertise spans silicon photonics, quantum platforms, spectroscopic ellipsometry, and PIC design using Python and IPKISS.

Awards and Honors

🏆 Thu Ha has been an invited speaker and active contributor to prestigious conferences such as the Italian Physical Society Congress and the Global Congress on Materials Science and Nanotechnology. Her research excellence is reflected in her publications in top-tier journals like Photonics and Optics Communications.

Research Focus

🔬 Thu Ha’s research centers on the integration of nanotechnology, photonics, and quantum computing. She is particularly interested in designing photonic integrated chips, exploring polarization control in graphene-silicon waveguides, and advancing single-photon detectors. Her contributions aim to revolutionize quantum technologies through innovative engineering solutions.

Conclusion

🌍 With her international background, strong academic foundation, and impactful research, Thu Ha Dao stands at the forefront of silicon photonics and quantum technologies. Her dedication to advancing science and engineering inspires her peers and contributes significantly to the global scientific community.