Emmanuel Ajah | Business, Management and Accounting | Editorial Board Member

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Dr. Emmanuel Ajah | Business, Management and Accounting | Editorial Board Member

Nigeria Communication Satellite Limited | Nigeria

Author Profile

Scopus

πŸŽ“ Early Academic Pursuits

Dr. Emmanuel Ajah's academic journey is marked by a strong foundation in engineering and information technology. His passion for digital business development led him to earn a Doctor of Philosophy (PhD) in Information Systems from the American University of Nigeria. His thesis, titled "Investigating Digital Platform Boundary Resource Mechanisms Fostering the Process of Digital Entrepreneurship Development in Nigeria: A Critical Realist Perspective," explored the underlying mechanisms driving digital start-ups in Nigeria. His academic excellence earned him The Outstanding Doctoral Student Award in recognition of his research contributions.

His educational background spans multiple disciplines, including a Master of Science (MSc.) in Information Technology, an Executive MBA, and a Postgraduate Diploma in Electrical Engineering. His early studies in Electronics and Telecommunication Engineering laid the groundwork for his future expertise in digital entrepreneurship and business technology.

🌟 Professional Endeavors

Dr. Ajah's professional career has been diverse and impactful. He currently serves as a Technical Pre-Sales Engineer at Nigeria Communication Satellite Limited, where he collaborates with sales teams to promote technological products and solutions. His role involves developing proposals, conducting presentations, and assisting clients in integrating digital technologies into their operations.

Additionally, Dr. Ajah has contributed to national security and defense through his role as a Resource Fellow at the Nigeria Airforce and Defence Space Administration. His expertise in Communication Satellite Applications and Operations has been instrumental in training military personnel on space technology applications.

πŸ“š Contributions and Research Focus

Dr. Ajah’s research is at the intersection of digital entrepreneurship, emerging technologies, and business model innovation. His work examines the role of AI, Blockchain, Cloud Computing, and Big Data Analytics in transforming digital business landscapes. His notable research contributions include studies on:

  • The influence of digital platform boundary resources on third-party application developers.
  • Factors driving digital start-up survival in emerging markets.
  • The evolving role of digital technology affordances in reshaping entrepreneurship.

His scholarly work has been published in prestigious journals such as Digital Business, The African Journal of Information Systems, and the Journal of Electronic Business & Digital Economics. His upcoming publication in The Electronic Journal of Information Systems in Developing Countries (EJISDC) further solidifies his position as a thought leader in digital business research.

πŸ† Accolades and Recognition

Dr. Ajah’s research excellence has earned him several prestigious recognitions. His paper, "Mechanisms Fostering Tech Start-up Emergence in the Nigerian Digital Ecosystem," was ranked among the Top 25% Best Papers at the Americas Conference on Information Systems (AMCIS 2021). His contributions to digital entrepreneurship development have been widely acknowledged by leading academic and industry forums.

🎬 Impact and Influence

Beyond academia, Dr. Ajah has made significant contributions to the practical development of Nigeria’s digital economy. His research findings have informed policy discussions on digital business innovation, and his training sessions for the Nigeria Airforce and Defense Space Administration have enhanced national capabilities in satellite communications. Through his mentorship and teaching, he has inspired the next generation of digital entrepreneurs and information systems professionals.

🌍 Legacy and Future Contributions

Looking ahead, Dr. Ajah envisions further exploring the strategic role of digital technology in business model innovation. He aims to investigate blockchain-based business models and their applications across various industries. His long-term goal is to bridge the gap between academic research and industry practice, ensuring that digital entrepreneurs in emerging economies have the knowledge and tools needed for success. Through continued research, teaching, and consultancy, Dr. Ajah is set to leave a lasting impact on the global digital entrepreneurship ecosystem.

 

Publications

πŸ“„  Explicating transcendental factors for viable digital business: Towards an explanatory model for digital start-up emergence
Author: Ajah, E.O.
Journal: Digital Business
Year: 2025

πŸ“„  Investigating the factors fostering early-stage digital start-up survival during gestation in Nigeria market
Author: Ajah, E.O.
Journal: Digital Business
Year: 2023

 

Xinhai Wang | Computer Science | Best Researcher Award

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Mr. Xinhai Wang | Computer Science | Best Researcher Award

Northeastern University | China

Author Profile

Orcid

Early Academic Pursuits πŸŽ“

Mr. Xinhai Wang's academic journey began with an undergraduate degree in Mathematics and Applied Mathematics from Northeastern University, where he achieved a GPA of 3.81/5. His academic excellence earned him several accolades, such as the "Outstanding Student Cadre" and "Three Good Students" awards, reflecting his dedication to both academics and extracurricular activities. Wang was actively involved in numerous projects during his undergraduate years, honing his skills in advanced algebra, data mining, and mathematical modeling, laying the groundwork for his future endeavors.

Professional Endeavors πŸ†

In September 2022, Xinhai Wang assumed the role of monitor for Northeastern University's Master of Science Class 2201, demonstrating exemplary leadership and organizational skills. His work extended beyond the classroom, where he helped in the construction of class activities and assisted in Party branch operations. Wang was awarded the honorary title of Outstanding Graduate Student Cadre for his relentless efforts in promoting student engagement and fostering a collaborative environment. As a deputy director in the Project Development Department of the Social Practice Department, he organized impactful student initiatives such as charity sales, making significant contributions to the student community.

Contributions and Research Focus πŸ”¬

Mr. Wang's contributions to academia and research are vast, with his work primarily centered on applying advanced algorithms in real-world scenarios. He has engaged in several high-level projects, including the application of genetic algorithms in mobile chess and using deep learning techniques like Deep Q Networks for stock market predictions. His research has tackled challenges in time series prediction, exploring fractional order random configuration networks (FSCN) to address the inherent non-stationarity in real-world data. These projects showcase his technical expertise in MATLAB and Python, alongside his growing knowledge of reinforcement learning and machine learning.

Accolades and Recognition πŸ…

Xinhai Wang's academic brilliance has been recognized throughout his career, both during his undergraduate and graduate studies. His GPA of 3.40/4 ranked him 2nd in his class, further earning him prestigious honors such as the President Scholarship and First-Class Academic Scholarship. His leadership in class and organizational roles has led to multiple "Outstanding Class Cadre" awards. Wang's academic achievements extend beyond his GPA and awards, with his research work being submitted to conferences and awaiting SCI journal reviews, positioning him as a rising star in applied statistics and data science.

Impact and Influence 🌟

Through his roles in student governance and research, Wang has had a lasting impact on both his peers and the academic community. He has innovated branch activities, guided students in social practice initiatives, and created platforms for broader engagement in scientific and social matters. His research endeavors, such as the application of deep learning to stock prediction and time series analysis, contribute to the growing body of knowledge in the field of statistical modeling and artificial intelligence, influencing future technological advancements.

Legacy and Future Contributions πŸ’‘

Mr. Xinhai Wang's journey reflects a commitment to excellence in academic leadership, research, and innovation. As he continues to explore the boundaries of machine learning, algorithm design, and data modeling, his future contributions will likely have a profound effect on emerging fields like stock prediction and industrial data analysis. His ongoing projects in MATLAB and Python, combined with his growing expertise in reinforcement learning, position him for future success in both academic and professional arenas.

 

Publications

πŸ“„  Prediction of Ship-Unloading Time Using Neural Networks
Author: Zhen Gao, Danning Li, Danni Wang, Zengcai Yu, Witold Pedrycz, Xinhai Wang
Journal: Applied Sciences
Year: 2024-09

πŸ“„  Novel Admissibility Criteria and Multiple Simulations for Descriptor Fractional Order Systems with Minimal LMI Variables
Author: Xinhai Wang, Jin-Xi Zhang
Journal: Fractal and Fractional
Year: 2024-06