Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

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Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

PhD Student at Artificial Intelligence, INTI International University, Malaysia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

👨‍🎓 Xiaofeng Wang (1980) is a PhD candidate in the Faculty of Data Science and Information Technology at INTI International University, Nilai, Malaysia. Originally from Shanxi, China, he graduated from Xinzhou Normal University with a major in Computer Science and Technology. He furthered his education at Shanxi University, specializing in Computer Systems Engineering.

Other Activity:

👨‍🏫 Currently, Xiaofeng Wang is a lecturer in the Department of Computer Science at Xinzhou Normal University in Shanxi. His primary research interests revolve around the Internet of Things, cyberspace security, artificial intelligence, and deep learning. Over the past few years, he has made significant contributions to his field, with 3 SCI papers, 1 EI paper, 2 Scopus papers, 1 book, and involvement in several research projects.

Publications:

  1. Wang, X., Othman, M., Dewi, D.A., Wang, Y. (2024). WSLC: Weighted semi-local centrality to identify influential nodes in complex networks. Journal of King Saud University – Computer and Information Sciences, 36(1), 101906.
  2. Wang, X., Wang, Y., Javaheri, Z., Moghadamnejad, N., Younes, O.S. (2023). Federated deep learning for anomaly detection in the internet of things. Computers and Electrical Engineering, 108, 108651.
  3. Wang, Y., Wang, X., Ariffin, M.M., Alqhatani, A., Almutairi, L. (2023). Attack detection analysis in software-defined networks using various machine learning methods. Computers and Electrical Engineering, 108, 108655.
  4. Wang, X. (2013). The research of digital recognition technology based on bp neural network. BioTechnology: An Indian Journal, 8(2), 180–185.

 

 

Assoc Prof Dr. Quoc Trung Pham | Knowledge management

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Assoc Prof Dr. Quoc Trung Pham : Leading Researcher in Knowledge management by Best Researcher Award

Head of Simulation Lab.at Knowledge management, Ho Chi Minh City University of Technology (VNU-HCM), Vietnam

Your remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 Your successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Academic History:

Head of Simulation Lab (SIM, HCMUT): Currently serving as the Head of the Simulation Lab at HCMUT since 2021. Associate Professor (MIS Department, SIM, HCMUT): Also currently serving as an Associate Professor in the MIS department at SIM, HCMUT since 2019. Vice Dean (School of Industrial Management, HCMUT): Previously served as the Vice Dean of the School of Industrial Management at HCMUT from 2013 to 2018. Lecturer (MIS Department, SIM, HCMUT): Worked as a Lecturer in the MIS department at SIM, HCMUT from 2005 to 2019. Visiting Lecturer: Has been a Visiting Lecturer at various universities including HUFLIT, Lotus University, VNU-HCM, University of Economics, TDT University, and VGU since 2001.

International Programs:

Lecturer, BIS Program, Vietnamese-German University: Served as a lecturer in the BIS Program at the Vietnamese-German University from 2020 to 2022. Lecturer, International Program of HCMUT (Vietnam) collaborating with University of Illinois (USA): Has been a lecturer in the International Program of HCMUT (Vietnam) collaborating with the University of Illinois (USA) since 2011. Advisor, MSM-MBA Program: Acted as an advisor for the MSM-MBA Program, a joint educational program of HCMUT and Maastricht School of Business (Netherlands) from 2011 to 2020. Lecturer, Victoria Program: Was a lecturer in the Victoria Program, a joint educational program of HCMC University of Economics and the University of Wellington, New Zealand from 2011 to 2018.

Quoc Trung Pham ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 839, Since 2018: 733
  • Citations: 839 (All), 733 (Since 2018)
  • h-index: 13 (All), 12 (Since 2018)
  • i10-index: 19 (All), 15 (Since 2018)

These metrics showcase the impact of Pham ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Research Grants:

VNU-HCM Research Grant 2021: Project titled “Relationship of operant resources, KM process, and working performance in learning organizations in Vietnam,” funded by VNU-HCM. HCMUT Research Grant 2020: Project titled “Impact of employer branding attractiveness and the use of social media on the first-choice brand: an empirical study in the IT industry in Vietnam,” funded by HCMUT. VNU-HCM Research Grant 2017: Project titled “Exploring impact factors of digital piracy behavior in Vietnam,” funded by VNU-HCM. HCMUT Research Grant 2016: Project titled “Impact factors of knowledge sharing of employees in the IT sectors in Vietnam – an integrated approach,” funded by HCMUT. HCMUT Research Grants 2015 and 2014: Projects titled “Impact of organizational culture on knowledge sharing of Vietnamese SMEs” and “Determinants of knowledge sharing motivation of Vietnamese employees: an empirical study,” both funded by HCMUT annually.

Certifications/ Awards:

Certification of completion of the series of seminars on “Data Analytics” organized by ICAEW – 2022. Certification of completion of the ERPSIM MOOC training course for lecturers, HEC Montreal, ERPSIM Lab (Canada) – 7/2021. Certification of completion of the workshop on “Advancing a University-Wide Digital Learning Ecosystem”, Arizona State University + HCMC University of Technology – 8/2020. Certification of completion of the workshop on Integrated Business Processes via SAP S/4 HANA & ERPSIM, SAP University Alliances + VinTech City – 2019. Certification of completion of TOT on SAP ERP S/4 HANA (GBI), SAP University Alliances + VinTech City – 2019. Certification of completion of TOT2 on Innovation & Entrepreneurship (IPP2), Ministry of Science & Technology + Embassy of Finland – 2017. Certification of completion of Educational Profession Program, Sai Gon University – 2017.

 

Assoc Prof Dr. Enayat Rajabi | Knowledge Grpahs

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🎉🏆 Congratulations, Assoc Prof Dr. Enayat Rajabi , on Your Outstanding Achievement as the Best Researcher! 🏆🎉
Assoc Prof Dr. Enayat Rajabi : Knowledge Grpahs

Data Analytics at Knowledge Grpahs, Cape Breton University, Canada

Your remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 Your successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

EDUCATION:

I completed my Ph.D. in Information and Knowledge Engineering at the University of Alcala, Spain, spanning from July 2012 to September 2015. The focus of my doctoral research was on “Interlinking Educational Data to the Web of Data,” with an emphasis on enhancing the integration of educational information into the broader context of the semantic web. Prior to my doctoral studies, I pursued a Master’s in Software Engineering at Ferdowsi University, Iran, from September 2001 to February 2004. My master’s thesis, titled “Developing a Management Information System to Manipulate Jini Home Networks,” delved into the creation of a sophisticated.

TEACHING EXPERIENCE:

Cape Breton University has been at the forefront of delivering comprehensive and cutting-edge courses in the field of data science and analytics. Over the past few years, the university has offered a range of specialized courses catering to the growing demands of the industry. In the fall of 2019, the Quantitative Methods course was introduced, comprising two sections, providing students with a foundational understanding of statistical techniques and methodologies. Following its success, the university expanded its curriculum to include the Database Concepts course, which has been offered across seven sections from the fall of 2019 to the spring of 2023.

PROFESSIONAL ACTIVITIES:

Since January 2021, I have had the privilege of serving as a Member of the Research Ethics Committee at Cape Breton University, contributing to the ethical oversight of research activities within the academic community. In this role, I have actively participated in evaluating and ensuring the ethical standards of various research proposals, fostering a commitment to integrity and responsible research practices. My engagement in university governance extends further to my tenure as a Member of the By-Laws and Procedures Committee from October 2020 to September 2022. During this period, I played a crucial role in reviewing and refining institutional policies, ensuring alignment with best practices and the evolving needs of the academic environment.

Enayat Rajabi citation metrics and indices from Google Scholar are as follows:

Cited by: All: 326, Since 2018: 236
Citations: 326 (All), 236 (Since 2018)
h-index: 10 (All), 9 (Since 2018)
i10-index: 11 (All), 9 (Since 2018)

PUBLICATIONS:

1.Interlinking educational resources to web of data through IEEE LOM

  • Published in Energy Conversion and Management in 2015 with 35 citations.

2. Analyzing broken links on the web of data: An experiment with DBpedia

  • Published in Energy Conversion and Management in 2014 with 34 citations.

3. A systematic review of machine learning-based missing value imputation techniques

  • Published in Energy Conversion and Management in 2021 with 32 citations.

4.An empirical study on the evaluation of interlinking tools on the Web of Data

  • Published in Energy Conversion and Management in 2014 with 26 citations.

5.Tourism destination image resiliency during a pandemic as portrayed through emotions on Twitter

  • Published in Energy Conversion and Management in 2022 with 23 citations.