Nazir Ullah | Technology and Society | Best Researcher Award

Dr. Nazir Ullah | Technology and Society | Best Researcher Award🏆🥇

Nanjing University - China

Professional Profiles:

Early Academic Pursuits

He academic journey is marked by a strong foundation in business and technology. Born on July 1, 1991, he exhibited an early passion for integrating technology with business processes. He began his higher education by pursuing an MBA at the International Islamic University, which he completed in 2015. This program provided him with a solid grounding in management science and honed his analytical and strategic thinking skills.

Recognizing the growing importance of technology in business, Nazir Ullah furthered his education at Nanjing University, one of China's premier institutions. In 2017, he completed a Chinese language program at the School of Chinese Language, which not only broadened his linguistic skills but also immersed him in the rich cultural and academic environment of China. His academic pursuits culminated in a PhD from the School of Management and Engineering at Nanjing University in 2023. His doctoral dissertation, titled "The Intention to Accept and Use Blockchain Technology in the Energy Trading System of Pakistan," underscored his deep interest in blockchain technology and its practical applications in energy trading.

Professional Endeavors

Throughout his academic journey, Nazir Ullah has engaged in numerous professional collaborations, working with esteemed experts and institutions worldwide. These collaborations have significantly enriched his research and expanded his professional network. He has worked closely with Prof. T. Ram ayah, a highly cited research scientist in technology adoption models from University Saints Malaysia, and Prof. Erik Valiquette, the President of the Canadian Blockchain Supply Chain Association at the University of British Columbia. His network also includes prominent scholars like Prof. Vikash Kumar from Bristol Business School, UK, and Prof. Kawther Al-Dhlan from the University of Hail, Saudi Arabia.

Nazir Ullah's professional endeavors have not only been limited to academic collaborations but also involved practical engagements with various industries. His work with Prof. Oleg Lodygensky, the Chief Technical Officer at the University of Paris, and Prof. Houcai Shen from Nanjing University, among others, highlights his commitment to bridging the gap between academic research and real-world applications.

Contributions and Research Focus on Technology and Society

He research primarily focuses on the adoption of blockchain technology, its theoretical underpinnings, and its practical applications across various sectors. His PhD dissertation laid the foundation for his research trajectory, exploring the adoption of blockchain technology in Pakistan's energy trading system. This work has been instrumental in understanding the dynamics of technology acceptance and utilization in emerging markets.

Accolades and Recognition

His contributions have earned him significant accolades and recognition. His research has been published in reputable journals, attesting to the quality and impact of his work. His collaborative efforts with globally recognized experts have further solidified his standing in the academic community. The acceptance of his work by high-impact journals and the recognition by peers underscore his innovative approach and significant contributions to the field of blockchain technology.

Impact and Influence

He research has had a profound impact on both academia and industry. His work on blockchain technology provides valuable insights and practical recommendations for its adoption across various sectors. His studies on blockchain adoption in energy management and smart agriculture have influenced policy decisions and business strategies, promoting efficiency and innovation. His research on KYC optimization using Hyper ledger Fabric Network has advanced digital identity verification processes, enhancing security and efficiency in financial transactions.

Moreover, his research has been instrumental in integrating traditional adoption models with modern technological frameworks, offering a comprehensive understanding of technology adoption dynamics. This integration is particularly evident in his work on hybridizing cost saving with trust for blockchain adoption by financial institutions, which has provided a robust framework for future research and practical applications.

Legacy and Future Contributions

He legacy is characterized by his innovative research, extensive collaborations, and significant contributions to the field of blockchain technology. His work has laid a solid foundation for future research, and his ongoing efforts promise to further influence the adoption of blockchain and other emerging technologies. He continues to explore new areas of research, contributing to the global discourse on technology and innovation.

Citations:

 Dr Aliya Fahmi – maths – Best Scholar Award

 DR Aliya Fahmi - maths - Best Scholar Award

the university of faisalbad - Pakistan

AUTHOR PROFILE

GOOGLE SCHOLAR

Cited by

All Since 2018
Citations 1081 1073
h-index 17 17
i10-index 28 28

EARLY ACADEMIC PURSUITS:

Aliya Fahmi's academic journey commenced with a focus on Mathematics, leading to her pursuit of a Ph.D. at Hazara University, Mansehra, Pakistan, from 2015 to 2019. Her doctoral thesis, titled "Some contributions to cubic sets and their applications," showcased her early commitment to advancing mathematical knowledge, resulting in a GPA of 3.8/4.

PROFESSIONAL ENDEAVORS:

Following her Ph.D., Fahmi's academic career evolved, with a significant appointment as a Ph.D. student involving both teaching and research responsibilities at the Department of Mathematics, Hazara University, from February to July 2017. Subsequently, she assumed the role of an Assistant Professor at the Department of Management Studies, The University of Faisalabad, Pakistan, starting in September 2020.

CONTRIBUTIONS AND RESEARCH FOCUS ON MATHS

Fahmi has made substantial contributions to the field of Mathematics, specializing in areas such as Fuzzy Algebra, Soft Sets, Loops, Semigroups, Hypergroups, and Decision Making. Her research focus encompasses a wide range of topics,  Maths as evidenced by her diverse publication portfolio in esteemed journals.

IMPACT AND INFLUENCE:

The impact of Fahmi's work is underscored by her extensive citation metrics. With a total citation count of 985 and an h-Index of 16, her research has significantly influenced the scholarly community. Her work has been recognized in reputable journals, Maths and she has actively participated in the academic discourse.

ACADEMIC CITATIONS:

Fahmi's research contributions have garnered recognition, with a notable citation count of 985 and an h-Index of 16. These metrics reflect the impact and influence of her work within the academic community, attesting to the significance of her contributions.

LEGACY:

Aliya Fahmi's legacy is established through her published and accepted papers, each contributing to the academic understanding of various mathematical concepts. Her research in Fuzzy Algebra, Soft Sets, and Decision Making has left a lasting mark, shaping the discourse in these fields.

FUTURE CONTRIBUTIONS:

Looking ahead, Fahmi's future contributions are anticipated to further enrich the academic landscape. As an Assistant Professor, her role involves both teaching and research, indicating a continued commitment to advancing mathematical knowledge and inspiring future generations of scholars.

NOTABLE PUBLICATION

Aggregation operators on triangular cubic fuzzy numbers and its application to multi-criteria decision making problems  2017(95)

Trapezoidal cubic fuzzy number Einstein hybrid weighted averaging operators and its application to decision making    2019(94)

Triangular cubic linguistic hesitant fuzzy aggregation operators and their application in group decision making      2018(89)

Cubic fuzzy Einstein aggregation operators and its application to decision-making   2018(85)

Weighted Average Rating (War) Method for Solving Group Decision Making Problem Using Triangular Cubic Fuzzy Hybrid Aggregation (Tcfha) Operator  2020(79)