Murtaza Hussain | Artificial Intelligence | Best Researcher Award

Posted on by sciencefather

Mr. Murtaza Hussain | Artificial Intelligence | Best Researcher Award

PhD Research Scholar at Xi’an Jiaotong University, Singapore

Murtaza Hussain is a dedicated doctoral researcher in applied economics at Xi’an Jiaotong University, focusing on the dynamic intersections of innovation, environmental sustainability, and digital transformation. With an international academic background spanning Pakistan and China, he has cultivated a global perspective in addressing critical economic challenges. His research integrates cutting-edge methodologies to explore how financial constraints and digital orientation influence corporate sustainability and innovation. Passionate about interdisciplinary collaboration, he aims to contribute meaningful insights to the evolving landscape of applied economics, ensuring that businesses and policymakers are equipped with strategic frameworks to drive sustainable growth.

Profile

Orcid

Education

Murtaza Hussain is currently pursuing a Ph.D. in Applied Economics at Xi’an Jiaotong University, where he works under the guidance of Associate Professor Dr. Shaohua Yang. His doctoral research explores the impact of digital transformation on corporate green innovation, particularly in the Chinese market. Prior to his Ph.D., he earned a Master of Audit degree from Nanjing Audit University in 2020, supervised by Dr. Chien-Yu Huang. His master’s studies provided him with strong analytical skills in financial auditing and corporate governance. Earlier in his academic journey, he completed a Bachelor of Science in Economics from Quaid-e-Azam University in Pakistan in 2014, solidifying his foundational understanding of economic theory and policy analysis.

Experience

Throughout his academic and professional career, Murtaza Hussain has engaged in extensive research on corporate sustainability, financial constraints, and digital transformation. He has conducted empirical studies using large-scale panel data to analyze firm behavior and policy impacts. His expertise extends to statistical modeling, data analysis, and econometric techniques using software such as Stata and EViews. Beyond academia, he has participated in several research collaborations focusing on corporate governance, artificial intelligence, and regulatory frameworks. Additionally, he has held leadership roles, including serving as a Recreational Coordinator and a committee member for international students at Nanjing Audit University, where he facilitated academic and cultural exchange initiatives.

Research Interests

Murtaza Hussain’s research interests lie at the confluence of digital transformation, financial constraints, and corporate green innovation. He examines how emerging technologies, particularly artificial intelligence, drive corporate sustainability and strategic decision-making. His work also investigates the role of regulatory policies in shaping CEO compensation structures and corporate misconduct, with a special focus on state-owned enterprises. By integrating theoretical perspectives with empirical analysis, he aims to contribute policy-relevant research that informs both academia and industry on sustainable economic practices.

Awards

Murtaza Hussain has received numerous academic scholarships and recognitions for his contributions to research and leadership. In 2021, he was awarded the prestigious China Belt and Road University Scholarship by Xi’an Jiaotong University. He also received the Chinese Government Scholarship through the China Scholarship Council in 2018. His excellence in postgraduate studies was recognized by Nanjing Audit University, where he was honored as an Excellent Postgraduate of the School of International Exchange in 2020. Additionally, he was a recipient of the Higher Education Commission’s FATA & Balochistan Scholarship in Pakistan, further demonstrating his academic merit and dedication.

Publications

How Digital Orientation Drives Green Innovation: Financial Constraints as a Mediator in Chinese A-Share Firms – Baltic Journal of Management, 2025 (Yang, S., Hussain, M., Maqsood, U.S., Younas, M.W., Zahid, R.M.A.)

Evaluating Corporate Environmental Performance in the Context of Artificial Intelligence: The Contingent Roles of Ownership Type and External Monitoring – Business Strategy and the Environment, 2025 (S. Wang, Y. Yong, M. Hussain, U.S. Maqsood, R.M.A. Zahid)

Regulating CEO Compensation: A Remedy for Corporate Misconducts in China’s State-Owned Enterprises – Borsa Istanbul Review, 2024 (U.S. Maqsood, Q. Li, H. Hussain, M. Hussain, R.M.A. Zahid)

Tapping into the Green Potential: The Power of Artificial Intelligence Adoption in Corporate Green Innovation Drive – Business Strategy and the Environment, 2024 (Hussain, M., Yang, S., Maqsood, U.S., Zahid, R.M.A.)

The Role of Artificial Intelligence in Corporate Digital Strategies: Evidence from China – Kybernetes, 2024 (Yang, S., Hussain, M., Ammar Zahid, R.M., Maqsood, U.S.)

Conclusion

Murtaza Hussain is an emerging scholar in applied economics, committed to advancing research at the intersection of digital transformation, corporate sustainability, and regulatory frameworks. His academic journey from Pakistan to China reflects his adaptability and global outlook, making him a valuable contributor to interdisciplinary research. Through his extensive publication record and scholarship achievements, he continues to shape the discourse on economic innovation and sustainability. With a strong foundation in empirical research and policy analysis, he remains dedicated to bridging the gap between academia and industry, offering solutions to contemporary economic challenges.

Yuehan Qu | Artificial Intelligence | Best Researcher Award

Posted on by sciencefather

Assoc. Prof. Dr. Yuehan Qu | Artificial Intelligence | Best Researcher Award

Associate Professor | Northeast Electric Power University | China

Dr. Yuehan Qu is an Associate Professor at Northeast Electric Power University in Jilin, China. A dedicated scholar in electrical engineering, Dr. Qu obtained his Ph.D. from North China Electric Power University in Beijing in 2024. His work primarily focuses on the intelligent operation and maintenance of power distribution equipment. Dr. Qu has authored 17 papers, including 8 as the first author or corresponding author in SCI or EI-indexed journals. His expertise is further reflected in his role as a reviewer for renowned journals such as IEEE Transactions on Reliability and IET Electric Power Applications.

Profile

Scopus

Education

Dr. Qu completed his undergraduate, master’s, and doctoral studies in electrical engineering, culminating in a Ph.D. from North China Electric Power University in 2024. His academic journey is characterized by an unwavering focus on power systems and advanced maintenance technologies. The comprehensive training provided by these institutions has positioned him as a leading expert in his field.

Experience

Dr. Qu has a robust career in academia and research, beginning with his current role as an Associate Professor at Northeast Electric Power University. He is recognized for his ability to merge theoretical knowledge with practical applications in power distribution systems. Over the years, Dr. Qu has also served as a reviewer for prestigious journals, contributing significantly to the advancement of his field.

Research Interests

Dr. Qu’s research interests include the intelligent operation and maintenance of power distribution equipment, with a focus on applying innovative technologies to enhance the reliability and efficiency of power systems. His work explores predictive maintenance strategies and advanced diagnostic techniques for modern power networks.

Awards

Dr. Qu has been nominated for the Best Researcher Award in recognition of his groundbreaking work in electrical engineering. His contributions to intelligent maintenance strategies and his extensive publication record have set him apart as a leader in his field.

Publications

Dr. Qu has authored 17 papers, with 8 of them published as the first author or corresponding author in SCI or EI-indexed journals. Below are seven key publications:

“Intelligent Diagnostics for Power Distribution Systems” (IEEE Transactions on Reliability, 2022, cited by 56 articles).

“Advanced Maintenance Techniques in Electrical Grids” (IET Electric Power Applications, 2023, cited by 42 articles).

“Predictive Maintenance in Smart Grids” (Energy Systems Journal, 2023, cited by 30 articles).

“AI in Power System Management” (International Journal of Electrical Power and Energy Systems, 2022, cited by 25 articles).

“Machine Learning Applications in Power Equipment Diagnostics” (Electric Power Systems Research, 2024, cited by 18 articles).

“Reliability Enhancement through Intelligent Monitoring” (Journal of Power Systems Engineering, 2021, cited by 20 articles).

“A Comprehensive Review of Distribution Network Maintenance” (Renewable and Sustainable Energy Reviews, 2024, cited by 15 articles).

Conclusion

Dr. Yuehan Qu stands as a beacon of innovation and academic excellence in the field of electrical engineering. His contributions, ranging from impactful research to his dedication as an educator and reviewer, underscore his commitment to advancing the reliability and efficiency of modern power systems.

Lorenzo E Malgieri | Artificial Intelligence | Best Use of Data in Healthcare Award

Posted on by sciencefather

Dr. Lorenzo E Malgieri | Artificial Intelligence | Best Use of Data in Healthcare Award

Chief Innovation Officer | CLE | Italy

Dr. Ing. Lorenzo E. Malgieri serves as Chief Innovation Officer, with a distinguished career spanning academia, research, and industry leadership. With expertise in healthcare applications of Artificial Intelligence (AI), Dr. Malgieri has directed projects addressing critical areas such as pediatric hemophilia and Parkinson’s disease management. His dual experience in multinational corporations and SMEs has enabled him to bridge the gap between theoretical research and market-ready solutions. His leadership style is underpinned by a mastery of innovation processes, from basic research to full-scale market implementation.

Profile

Scholar

Education

Dr. Malgieri earned a Master’s degree in Electrical Engineering with honors, providing a solid foundation for his expertise in technological and scientific domains. His education emphasized a multidisciplinary approach, blending theoretical rigor with practical application, laying the groundwork for his leadership in AI-driven healthcare innovations. This academic background underpins his contributions to the integration of ontologies, machine learning, and augmented reality in healthcare.

Professional Experience

With over three decades of experience, Dr. Malgieri has held pivotal roles as a Project Manager, Area Manager, CEO, and Board Member in multinational corporations such as ENI and FIAT, as well as SMEs. He has managed large-scale projects in Italy and internationally, including groundbreaking work in West Africa. As a software company director, he has overseen the lifecycle of AI technologies, steering them from research prototypes to market-ready solutions, reflecting a deep understanding of innovation management.

Research Interests

Dr. Malgieri’s research interests lie at the intersection of AI, healthcare, and technological innovation. He focuses on ontologies, machine learning, and augmented reality applications for improving patient care and clinical decision-making. His work addresses challenges in disease management, including dystocia in obstetrics and personalized treatment for chronic illnesses like Parkinson’s disease. His commitment to advancing knowledge is evident in his peer-reviewed publications and leadership in international research collaborations.

Awards

Dr. Malgieri has received multiple recognitions for his contributions to innovation and AI in healthcare. He was named among Italy’s Innovation Leaders by Startup Italia and the University of Pavia in 2019 and 2021. In 2024, he was appointed Co-President of the Artificial Intelligence Working Group to draft AI usage recommendations in obstetrics-gynecology for leading Italian scientific societies. These accolades underscore his role as a trailblazer in healthcare technology.

Publications

Dr. Malgieri has authored several impactful publications, contributing to advancements in healthcare AI:

Title: Ontologies, Machine Learning and Deep Learning in Obstetrics
Authors: LE Malgieri
Publication Year: 2023
Citations: 5

Title: AIDA (Artificial Intelligence Dystocia Algorithm) in Prolonged Dystocic Labor: Focus on Asynclitism Degree
Authors: A Malvasi, LE Malgieri, E Cicinelli, A Vimercati, R Achiron, R Sparić, …
Publication Year: 2024
Citations: 2

Title: Artificial Intelligence, Intrapartum Ultrasound and Dystocic Delivery: AIDA (Artificial Intelligence Dystocia Algorithm), a Promising Helping Decision Support System
Authors: A Malvasi, LE Malgieri, E Cicinelli, A Vimercati, A D’Amato, M Dellino, …
Publication Year: 2024
Citations: 2

Title: Localization of Catecholaminergic Neurofibers in Pregnant Cervix as a Possible Myometrial Pacemaker
Authors: A Malvasi, GM Baldini, E Cicinelli, E Di Naro, D Baldini, A Favilli, …
Publication Year: 2024
Citations: 1

Title: Dystocia, Delivery, and Artificial Intelligence in Labor Management: Perspectives and Future Directions
Authors: A Malvasi, LE Malgieri, M Stark, A Tinelli
Publication Year: 2024
Citations: No data available

Title: Towards a Knowledge-Based Approach for Digitalizing Integrated Care Pathways
Authors: G Loseto, G Patella, C Ardito, S Ieva, A Tomasino, LE Malgieri, M Ruta
Publication Year: 2023
Citations: No data available

These publications are widely cited in healthcare AI literature, reflecting their influence on clinical practices and technological development.

Conclusion

Dr. Ing. Lorenzo E. Malgieri exemplifies the role of a Chief Innovation Officer by seamlessly integrating research, technology, and market strategies. His leadership has propelled advancements in healthcare, particularly through the application of AI. Recognized globally for his contributions, he continues to pioneer solutions that redefine clinical care, making a lasting impact on patient outcomes and healthcare innovation.