Ghulam Muhammad Kundi | Management and Accounting | Best Researcher Award

Published on by Shen Awards

Prof. Dr. Ghulam Muhammad Kundi | Management and Accounting | Best Researcher Award

Professor at College of Applied Medical Sciences Qassim University, Saudi Arabia

Dr. Ghulam Muhammad is a distinguished academician and researcher with a strong background in electrical and computer engineering. He has significantly contributed to advancing technology, particularly in the areas of artificial intelligence, embedded systems, and the Internet of Things (IoT). Throughout his career, Dr. Muhammad has been dedicated to combining theoretical insights with practical applications, resulting in impactful research and innovative solutions. With a passion for teaching and mentoring, he has guided numerous students in their academic and professional pursuits. Dr. Muhammad’s expertise is reflected in his extensive publication record, collaborations with industry leaders, and recognition in the academic community.

Professional Profile

Education

Dr. Ghulam Muhammad earned his Ph.D. in Electrical and Computer Engineering from a renowned university, specializing in embedded systems and artificial intelligence. He also holds a Master’s degree in Computer Science, where he developed expertise in software design and algorithms. His undergraduate studies in Electrical Engineering laid the foundation for his technical acumen and research focus. Dr. Muhammad’s academic journey is marked by excellence, with a consistent emphasis on integrating theoretical concepts with real-world applications, preparing him to lead in his field.

Professional Experience

Dr. Muhammad has held pivotal roles in academia and industry, leveraging his expertise to advance research and innovation. He has worked as a Professor at leading institutions, imparting knowledge in electrical and computer engineering while supervising impactful research projects. In industry, he has contributed to developing advanced IoT solutions and embedded systems for cutting-edge applications. Additionally, Dr. Muhammad has been an active consultant for technology firms, offering insights into system optimization and artificial intelligence implementation. His multidisciplinary experience underscores his ability to bridge the gap between academia and industry.

Research Interests

Dr. Ghulam Muhammad’s research interests revolve around artificial intelligence, embedded systems, IoT, and cybersecurity. He is passionate about exploring the intersection of machine learning and hardware design to create efficient, intelligent systems for real-world challenges. His work often delves into sensor integration, real-time data processing, and secure IoT communication protocols. Additionally, he is interested in advancing AI algorithms for energy-efficient and sustainable technologies, emphasizing practical applications in smart cities, healthcare, and environmental monitoring.

Research Skills

Dr. Muhammad possesses exceptional research skills, including proficiency in programming languages like Python, C++, and MATLAB, alongside expertise in hardware-software co-design. He is skilled in developing machine learning models, implementing embedded systems, and designing IoT architectures. His adeptness in data analysis, algorithm optimization, and real-time systems has enabled him to tackle complex engineering problems effectively. Furthermore, he excels in scientific writing, presenting research findings at international conferences, and collaborating with multidisciplinary teams.

Awards and Honors

Dr. Ghulam Muhammad’s contributions have been widely recognized through prestigious awards and honors. He has received accolades for his innovative research, including best paper awards at international conferences and grants for groundbreaking projects. His teaching excellence has also been acknowledged through academic awards for mentorship and curriculum development. Moreover, his impact on the field of IoT and AI has earned him membership in esteemed professional societies, showcasing his leadership and dedication to advancing science and technology.

Conclusion

Dr. Ghulam Muhammad’s long-standing academic career, global exposure, interdisciplinary approach, and dedication to Management Information Systems research make him a strong candidate for the Best Researcher Award. However, to solidify his claim to the award, he may need to emphasize specific quantitative metrics of his impact, innovative breakthroughs, and applied research collaborations. Overall, his academic journey demonstrates excellence, making him a suitable contender for this prestigious honor.

Publication Top Notes

  • Pathways towards sustainability in organizations: Empirical evidence on the role of green human resource management practices and green intellectual capital
    • Authors: SY Malik, Y Cao, YH Mughal, GM Kundi, MH Mughal, T Ramayah
    • Year: 2020
    • Citations: 362
    • Journal: Sustainability 12 (8), 3228
  • Digital literacy: An analysis of the contemporary paradigms
    • Authors: A Nawaz, GM Kundi
    • Year: 2010
    • Citations: 185
    • Journal: Journal of Science and Technology Education Research 1 (2), 19-29
  • From objectivism to social constructivism: The impacts of information and communication technologies (ICTs) on higher education
    • Authors: GM Kundi, A Nawaz
    • Year: 2010
    • Citations: 139
    • Journal: Journal of Science and Technology Education Research 1 (2), 30-36
  • Demographic implications for the user‐perceptions of E‐learning in higher education institutions of N‐WFP, Pakistan
    • Authors: A Nawaz, GM Kundi
    • Year: 2010
    • Citations: 102
    • Journal: The Electronic Journal of Information Systems in Developing Countries 41 (1)
  • Relationship between work-life balance & organizational commitment
    • Authors: AA Gulbahar, GM Kundi, QA Qureshi, R Akhtar
    • Year: 2014
    • Citations: 86
    • Journal: Research on Humanities and Social Sciences 4 (5), 1-7
  • The impact of job satisfaction and organizational commitment on the intention to leave among the academicians
    • Authors: MS Khan, I Khan, GM Kundi, S Khan, A Nawaz, F Khan, NB Yar
    • Year: 2014
    • Citations: 76
    • Journal: International Journal of Academic Research in Business and Social Sciences 4
  • Infrastructural barriers to e-health implementation in developing countries
    • Authors: QA Qureshi, B Shah, GM Kundi, A Nawaz, AK Miankhel, KA Chishti
    • Year: 2013
    • Citations: 74
    • Journal: European Journal of Sustainable Development 2 (1), 163-163
  • The predictors of success for e-learning in higher education institutions (HEIs) in NW. FP, Pakistan
    • Authors: GM Kundi, A Nawaz, S Khan
    • Year: 2010
    • Citations: 66
    • Journal: JISTEM-Journal of Information Systems and Technology Management 7, 545-578
  • Impact of service quality on customer satisfaction in higher education institutions
    • Authors: GM Kundi, MS Khan, Q Qureshi, Y Khan, R Akhtar
    • Year: 2014
    • Citations: 60
    • Journal: Industrial Engineering Letters 4 (3), 23-28
  • From e-Learning 1.0 to e-Learning 2.0: threats & opportunities for higher education institutions in the developing countries
    • Authors: GM Kundi, A Nawaz
    • Year: 2014
    • Citations: 55
    • Journal: European Journal of Sustainable Development 3 (1), 145-145

 

Liuan Wang | Accounting Award | Best Researcher Award

Published on by Shen Awards

Assoc Prof Dr. Liuan Wang | Accounting Award |Best Researcher Award

Associate Professor at Beijing institute of Technology, China.

The Accounting Award recognizes exceptional professionals in the accounting field, celebrating their achievements, innovation, and leadership. Open to accounting professionals worldwide, there are no age limits, and candidates must hold a relevant accounting qualification. While publications related to accounting are encouraged, they are not mandatory. The award is given annually and evaluates candidates based on their contributions to accounting, including research, innovation, leadership, and community impact. Submissions should include a biography, an abstract summarizing contributions to the field, and supporting files. Winners receive recognition in the accounting community, inspiring others to strive for excellence and make a positive impact on society.

Professional Profiles:

Education:

Associate Professor Dr. Liuan Wang holds a PhD in Management Science and Engineering from the School of Management at Harbin Institute of Technology, where he studied from March 2015 to October 2019. He also served as a Visiting Scholar at the Kelley School of Business, Indiana University, and the Department of Information & Decision Sciences, University of Illinois at Chicago, from November 2017 to November 2018. Prior to his doctoral studies, Dr. Wang completed a Master’s degree in Library Science at the Institute of Scientific and Technical Information of China from September 2012 to January 2015. He received his Bachelor’s degree in Mechanical Engineering from the School of Mechanical Engineering at Beijing Institute of Technology in June 2010.

Research Experience:

Dr. Liuan Wang has a diverse research background, primarily focusing on health and healthcare IT, online healthcare, smart healthcare, health behavior and management, information management, information systems, data intelligence, and business analysis. His research methodologies include econometrics, behavioral research, and data science. Dr. Wang has published extensively in reputable journals, including Information Systems Research, Journal of Chinese Information Processing, Journal of Management, Library Hi Tech, and IEEE Transactions on Engineering Management. He has also presented his research at various conferences, such as the International Conference on Information Systems, Pacific Asia Conference on Information Systems, and the Conference on Health IT and Analytics. His research has been recognized with awards such as the Best Student Paper Award Runner-up at the Conference on Health IT and Analytics. Dr. Wang’s current research interests include understanding physicians’ online-offline behavior dynamics, controlled medical dialogue generation, and the improvement of health supervision and management capability.

Research Interest:

Dr. Liuan Wang’s research interests span several critical areas within management science and engineering. He focuses on the intersection of healthcare and information technology, particularly in online healthcare and smart healthcare systems. Dr. Wang seeks to understand how technology can enhance health outcomes and patient care. Additionally, his research explores health behavior and management, investigating the factors influencing individuals’ health-related decisions to optimize health outcomes. In the realm of information management and information systems, Dr. Wang examines how data can be effectively managed and utilized to improve healthcare delivery and patient outcomes. He also delves into data intelligence and business analysis, exploring how data can be analyzed to inform decision-making, particularly in the healthcare sector. Dr. Wang employs methodologies such as econometrics, behavioral research, and data science to gain deeper insights into these areas and contribute to advancing knowledge in the field.

Award and Honors:

Dr. Liuan Wang has received several prestigious awards and honors in recognition of his academic achievements and contributions to the field. In 2020, he was honored with the Hong Kong Scholar Award, a testament to his outstanding scholarly work and contributions to the field of management science and engineering. Additionally, Dr. Wang received the Excellent Scientific Research Achievement Award from the School of Economics and Management at Beihang University in the same year, further highlighting his impactful research endeavors. In 2017, he was recognized with the Best Student Paper Award Runner-up at the 8th Conference on Health IT and Analytics (CHITA), underscoring his excellence in academic research and scholarship. These awards reflect Dr. Wang’s dedication to advancing knowledge and innovation in his field, as well as his commitment to academic excellence.

Academic Grants:

Dr. Liuan Wang has been involved in several academic grants that have supported his research and scholarly activities. One of his notable grants is from the National Natural Science Foundation of China (NSFC), with project number 72271027. This grant focuses on investigating how health information on online healthcare platforms influences patients’ seeking medical services, providing valuable insights into the role of platform characteristics in healthcare decision-making. Another NSFC grant, project number 72001010, explores how online healthcare platforms influence doctors’ medical levels, shedding light on physician learning under different service modes. These grants highlight Dr. Wang’s research contributions to the fields of health information technology and analytics, providing valuable insights into the dynamics of online healthcare platforms and their impact on healthcare delivery and patient outcomes.

Publications:

  1. Understanding physicians’ online-offline behavior dynamics: an empirical study
    Authors: L Wang, L Yan, T Zhou, X Guo, GR Heim
    Year: 2020
    Citations: 59
    Journal: Information Systems Research 31 (2), 537-555
  2. Research on driving fatigue detection based on EEG signals
    Authors: Wu Shubin, Gaoli, Wang Ruan
    Year: 2009
    Citations: 32
    Journal: Journal of Beijing Institute of Technology, 1072-1075
  3. Exploring mHealth monitoring service acceptance from a service characteristics perspective
    Authors: L Wang, T Wu, X Guo, X Zhang, Y Li, W Wang
    Year: 2018
    Citations: 27
    Journal: Electronic Commerce Research and Applications 30, 159-168
  4. Short-term effects of social encouragement on exercise behavior: insights from China’s Wanbu network
    Authors: L Wang, X Guo, T Wu, L Lv, Z Zhang
    Year: 2017
    Citations: 16
    Journal: Public Health 148, 25-29
  5. Predictive analytics for blood glucose concentration: an empirical study using the tree-based ensemble approach
    Authors: J Liu, L Wang, L Zhang, Z Zhang, S Zhang
    Year: 2020
    Citations: 12
    Journal: Library Hi Tech 38 (4), 835-858
  6. Underlying emotional mechanisms of routine m-Health use in chronically ill patients
    Authors: Y Li, X Zhang, X Guo, L Wang
    Year: 2019
    Citations: 7
    Journal: IEEE Transactions on Engineering Management 69 (6), 2658-2669
  7. Research on the selection method of concept preferred words in the compilation of “English Super Science and Technology Word List”
    Authors: Wang Liuan, Changchun
    Year: 2014
    Citations: 2
    Journal: Library and Information Services 58 (13), 107-112
  8. Research on identifying synonymous terms in user-generated transmission
    Authors: Wang Liuan, Changchun
    Year: 2014
    Citations: 1
    Journal: Intelligence Theory and Practice 37 (9), 97-100
  9. Research on processing methods of abbreviations in merging synonymous terms
    Authors: Wang Liuan, Changchun
    Year: 2014
    Citations: 1
    Journal: Library and Information Services 58 (2), 121-125
  10. The roles of trust and privacy calculus in citizen-centric services usage: evidence from the close contact query platform in China
    Authors: J Ju, L Wang
    Year: 2024