Mr. Muhammad Waqas Arshad | Quantum Computing | Best Researcher Award

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 ๐ŸŒ๐Ÿ’ก. 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 ๐Ÿš—๐Ÿ”ฌ. 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 ๐ŸŽ“๐Ÿ‡บ๐Ÿ‡ธ.

Publication Profile

Education ๐ŸŽ“

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 ๐Ÿ‡ฎ๐Ÿ‡น (2022-Present) ๐Ÿ›๏ธ. He holds an MS in Artificial Intelligence (Creative Technologies) from Air University, Islamabad, Pakistan ๐Ÿ‡ต๐Ÿ‡ฐ (2019-2022) ๐Ÿ“š. His journey in computer science began with a BS-IT from Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan (2015-2019) ๐ŸŽ“. His multidisciplinary expertise enables him to tackle complex research problems with a strong computational foundation.

Experience ๐Ÿ’ผ

With extensive research experience, Muhammad Waqas Arshad is currently a Visiting Scholar in Computer Science at Purdue University Fort Wayne, USA ๐ŸŒŽ๐Ÿ’ป. He has been actively involved in advanced AI applications and quantum computing methodologies, focusing on intelligent optimization techniques for automotive systems and energy forecasting ๐Ÿ”ฌ๐Ÿš€. His work spans various international collaborations, contributing to scientific advancements in multi-objective optimization, AI-driven decision-making, and machine learning algorithms ๐Ÿค–๐Ÿ“Š.

Awards and Honors ๐Ÿ…

Muhammad Waqas Arshad has received several academic and professional accolades for his contributions to research and technology ๐ŸŒŸ. His innovative research publications and active participation in AI and quantum computing conferences have earned him recognition in the global research community ๐Ÿ†. As a dedicated IEEE member and General Secretary at ISOC-BSIG, he has made significant contributions to scientific communities and AI-driven technological advancements ๐Ÿ“œ.

Research Focus ๐Ÿ”ฌ

His research interests primarily revolve around Artificial Intelligence, Quantum Computing, and Data Science ๐Ÿง ๐Ÿ’ก. He specializes in AI-driven automotive engineering, intelligent transportation systems, and energy-efficient solutions for electric vehicle charging stations โšก๐Ÿš˜. Additionally, he explores multi-objective optimization using AI and quantum approaches, aiming to enhance real-world decision-making processes ๐Ÿ—๏ธ๐Ÿ”Ž. His work integrates machine learning, deep learning, and computational intelligence to drive scientific and industrial breakthroughs ๐Ÿš€๐Ÿ“ˆ.

Conclusion ๐ŸŒŸ

Muhammad Waqas Arshad is a visionary researcher committed to bridging the gap between theoretical research and industrial innovation ๐Ÿš€๐ŸŽฏ. His pioneering work in AI, quantum computing, and data science is shaping the future of intelligent systems and automation ๐ŸŒ๐Ÿค–. With a strong academic background, international research experience, and a passion for technology, he is actively contributing to the next generation of computational advancements ๐Ÿ“šโšก.

Publications ๐Ÿ“š๐Ÿ”—

Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review (2025) – Published in Machines ๐ŸŽ๏ธ ๐Ÿ”—DOI: 10.3390/machines13030204

Optimization of Double Wishbone Suspension: Evaluating the Performance of Classes of Algorithms (2024) – ICAMCS Conference ๐Ÿ”ฌ ๐Ÿ”—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 โšก ๐Ÿ”—DOI: 10.1109/icsmartgrid61824.2024.10578078

Comparative Analysis of MOORA and GRA with PIPRECIA Weighting in Warehouse Head Selection (2024) – BEES Journal ๐Ÿ“ฆ ๐Ÿ”—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 ๐Ÿ“Š

Detection of Human Gender from Eye Images Using DNN Approach (2023) – Teknoinfo Journal ๐Ÿ‘๏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 ๐Ÿข

Applications of Quantum Computing in the Health Sector (2023) – Journal of Data Science and Intelligent Systems ๐Ÿฅ ๐Ÿ”—DOI: 10.47852/bonviewJDSIS3202656

Prediction and Diagnosis of Breast Cancer Using Machine Learning and Ensemble Classifiers (2023) – Open Science Framework ๐ŸŽ—๏ธ ๐Ÿ”—DOI: 10.17605/OSF.IO/9CFN6

Advanced Face Detection Using Machine Learning and AI-Based Algorithm (2022) – IC3I Conference ๐Ÿค– ๐Ÿ”—DOI: 10.1109/ic3i56241.2022.10072527

 

Thu Ha Dao | quantum computation | Best Researcher Award

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

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

๐ŸŒŸ 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.

Publication Profile

Education

๐ŸŽ“ Thu Ha Dao holds a Bachelor’s degree in Physical Sciences from Hanoi University of Science (2012โ€“2016) ๐Ÿ‡ป๐Ÿ‡ณ. She completed her Master of Physics at the University of Camerino, Italy (2016โ€“2019) ๐Ÿ‡ฎ๐Ÿ‡น, 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 (2020โ€“2023) ๐Ÿ‡ฎ๐Ÿ‡น, with a thesis on silicon photonics integrated circuits for quantum computation.

Experience

๐Ÿ’ผ 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

๐Ÿ† 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

๐Ÿ”ฌ 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

๐ŸŒ 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.

Publications

Pi-plasmon model for carbon nanostructures. Application to porphyrin (2016) โ€“ Journal of Physics: Conference Series

Quantum technologies experimental platform (2021) โ€“ Proceedings of the Italian Physical Society National Congress

Substrate for SERS sensor realized by DELIL technique (2021) โ€“ AIP Conference Proceedings

Polarization Control in Integrated Graphene-Silicon Quantum Photonics Waveguides (2022) โ€“ Materials

Measurement and Simulation of Mechanical and Optical Properties of Sputtered Amorphous SiC Coatings (2022) โ€“ Physical Review Applied

Quantum Information with Integrated Photonics (2024) โ€“ Applied Sciences

Solid-State Color Centers for Single-Photon Generation (2024) โ€“ Photonics

Hybrid Integrated Silicon Photonics Based on Nanomaterials (2024) โ€“ Photonics

Integrated photonic building blocks on SOI (2024) โ€“ Photonics

Linearly multiplexed Photon Number Resolving single-photon detectors array (2025) โ€“ Optics Communications

Single-Photon Detectors for Quantum Integrated Photonics (2025) โ€“ Photonics