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

Mr. Akoramurthy Balasubramaniam | Quantum Science | Best Researcher Award

Research Scholar, National Institute of Technology Puducherry, India

Dr. Akoramurthy Balasubramaniam is a distinguished researcher and professor specializing in Computer Science & Engineering. With a focus on Quantum Blockchain for Healthcare, he is dedicated to advancing technology and contributing to societal growth. Currently serving as an Assistant Professor at REVA University, Bangalore, he has a strong background in various educational and professional roles across multiple institutions.

Publication Profile

Scopus
ORCID

Strengths for the Award

Diverse Educational Background:Akoramurthy B has a robust educational foundation, including a Ph.D. in “Quantum Blockchain for Healthcare,” multiple master’s degrees in Computer Science and Banking Technology, and a PG Diploma in Statistics & Research Methods. This diverse academic background supports a deep understanding of both technical and practical aspects of his research areas.
Relevant and Cutting-Edge Research:His research work in quantum blockchain for healthcare, digital linked information systems, and advancements in blockchain and AI technologies is highly relevant and current. His publications and book chapters cover emerging and impactful technologies, demonstrating a forward-thinking approach.
Publication Record:Akoramurthy has a strong publication record with several book chapters, journal articles, and conference papers. His work is featured in reputable journals and conference proceedings, including IEEE and Scopus-indexed venues, highlighting his contributions to the field.
Professional Experience:His experience spans various roles, including Assistant Professor and Junior Research Fellow at multiple institutions, which demonstrates his commitment to teaching and research. His involvement in diverse academic environments suggests a broad perspective and practical experience.
Recognition and Awards:Akoramurthy has received several awards for his research, such as the Best Research Paper Award and Best Paper Award at various conferences. This recognition is a testament to the quality and impact of his research.

Areas for Improvement

Greater Research Impact:While his research is highly relevant, increasing the citation count and visibility of his work in high-impact journals could further enhance his standing as a researcher. Greater engagement with the broader research community through collaborations could amplify his research impact.
Broader Research Network:Expanding his research network by collaborating with international researchers and participating in more interdisciplinary projects could lead to more significant research outcomes and opportunities for high-profile publications.
Increased Funding and Grants:Securing more research grants and funding could support more extensive and impactful research projects. Pursuing grants from major funding agencies or industry partnerships could enhance the scope and scale of his work.

Education

Dr. Balasubramaniam earned his Ph.D. in “Quantum Blockchain for Healthcare” from the National Institute of Technology, Puducherry, through the Visvesvaraya Fellowship (2023-25). He holds a PG Diploma in “Statistics & Research Methods” from Pondicherry University (2015-16), a Master of Engineering in “Computer Science & Engineering” from Anna University (2013-15), and an MBA in “Banking Technology” from Pondicherry University (2011-13). His academic journey began with a Bachelor of Technology in “Information Technology” from MEC, Anna University (2003-07), complemented by his HSC and School Leaving Certificate.

Experience

Dr. Balasubramaniam has held several academic positions, including Assistant Professor at REVA University (2022-present) and Sri Venkateshwara College of Engineering & Technology (2020-2022). He has also worked as a Junior Research Fellow at Vellammal Institute of Technology (2019-2020) and as an Assistant Professor at IFET College of Engineering (2016-2019). His career started as a Lecturer at Rajiv Gandhi College of Engineering & Technology (2007-2011).

Research Focus

Dr. Balasubramaniam’s research is centered around Quantum Blockchain technologies, artificial intelligence, and their applications in healthcare and information systems. His work explores innovative solutions for digital management and efficient data handling using advanced computational techniques.

Awards and Honours

Dr. Balasubramaniam has been recognized for his contributions to the field with various accolades. His research and scholarly activities reflect his commitment to pushing the boundaries of knowledge and technology.

Publications Top Notes

Artificial Intelligence and Blockchain Technology for Efficient Electronic Medical Record Management in Healthcare Technologies, 2023 DOI: 10.1049/PBHE061E_ch4

Digital Linked Information System Using Blockchain Technology in Blockchain Technology: Fundamentals, Applications and Case Studies, CRC Press (2020) DOI: 10.1201/9781003004998

A Blockchain Approach for Improving Digital Linked Management Information System (DLMIS 2.0) in The Data-Driven Blockchain Ecosystem: Fundamentals, Applications and Emerging Technologies (CRC Press) ISBN: 978-1-032-21624-9

Nature-Inspired Algorithms for Computational Intelligence Theory-A State of Art Review (Accepted for Computational Intelligent Theory for Real-Time Use Cases, Bentham Science)

Conclusion

Akoramurthy B exhibits strong qualifications for the Research for Best Researcher Award. His educational background, relevant research contributions, substantial publication record, and professional experience make him a strong candidate. Addressing areas such as increasing the impact of his research, broadening his network, and securing additional funding could further strengthen his profile. Overall, his achievements and ongoing contributions to the field of Computer Science & Engineering position him as a noteworthy candidate for the award.