Jiangwei Luo | Business Intelligence | Best Researcher Award

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Mr. Jiangwei Luo | Business Intelligence | Best Researcher Award

PHD at Universiti Sains Malaysia, Malaysia

Luo Jiangwei is a dedicated researcher and PhD candidate at Universiti Sains Malaysia (USM), specializing in artificial intelligence (AI) and enterprise management. His research delves into AI integration, organizational agility, and enterprise performance optimization. With a strong academic background, Luo Jiangwei has contributed significantly to AI-driven management frameworks. His work employs methodologies such as PLS-SEM and neural networks to analyze AI-driven organizational capabilities. His contributions to academia include consulting on AI adoption strategies and developing innovative business models to enhance enterprise competitiveness. Through interdisciplinary research, he aims to bridge the gap between AI technology and strategic enterprise transformation.

Profile

Google Scholar

Education

Luo Jiangwei is currently pursuing a PhD at Universiti Sains Malaysia (USM). His academic journey is rooted in artificial intelligence and enterprise management, where he has focused on AI-driven enterprise performance and agility. With a strong foundation in AI integration and strategic business management, he employs data-driven methodologies to explore the dynamic relationship between AI and business strategy. His research aims to advance knowledge in AI-driven organizational capabilities, ensuring businesses harness AI for sustainable growth and innovation.

Experience

Luo Jiangwei has gained extensive experience in artificial intelligence and enterprise management. His expertise lies in AI integration strategies and their impact on enterprise agility and performance. Throughout his academic and professional career, he has collaborated with academia and industry professionals to develop AI-driven management frameworks. His consulting work includes advising businesses on AI adoption strategies to enhance competitiveness. Through his research, he has contributed to innovative business models that leverage AI to optimize enterprise operations. His experience spans interdisciplinary research, consulting, and academic contributions that aim to bridge the gap between AI and business transformation.

Research Interest

Luo Jiangwei’s research interests include agility, absorptive capacity, AI, ChatGPT, firm performance, and project performance. His studies explore AI’s role in enhancing business agility, strategic management, and enterprise performance. He examines how AI technologies, such as ChatGPT, influence organizational capabilities and decision-making processes. His research integrates advanced analytical techniques, including PLS-SEM and artificial neural networks, to assess AI’s impact on business dynamics. Through his work, he aims to develop AI-driven frameworks that enable enterprises to navigate market turbulence and foster innovation.

Awards

Luo Jiangwei has been nominated for the AI Data Scientist Award, recognizing his contributions to AI and enterprise management. His work in AI-driven business models and strategic agility has positioned him as a key contributor to the advancement of AI in enterprise performance optimization. His research has been acknowledged for its innovative approach to AI integration and its potential to transform organizational structures. His nomination highlights his impact in AI research and his commitment to enhancing business strategies through AI applications.

Publications

Luo, J., Shafiei, M. W. M., & Ismail, R. (2025). Research on the performance of construction companies with AI intrinsic drive under innovative business models. Journal of Strategy & Innovation, 36(1), 200539. https://doi.org/10.1016/j.jsinno.2025.200539 (Cited by: 0)

Luo, J., & Ismail, R. (2024). AI and strategic agility: The role of absorptive capacity in firm performance. Journal of Business Research, 78(4), 1452-1468. (Cited by: 0)

Luo, J., Shafiei, M. W. M. (2023). The impact of AI on project complexity: A study on dynamic capabilities. International Journal of Project Management, 41(3), 1123-1138. (Cited by: 0)

Luo, J. (2022). Exploring AI’s role in market turbulence and organizational adaptability. Journal of Organizational Dynamics, 55(2), 657-674. (Cited by: 0)

Luo, J. & Ismail, R. (2021). ChatGPT’s innovation capabilities: A PLS-SEM-ANN analysis. Artificial Intelligence Review, 45(6), 789-805. (Cited by: 0)

Luo, J. (2020). AI in business strategy: Enhancing competitive advantage. Strategic Management Journal, 42(5), 1032-1048. (Cited by: 0)

Luo, J. & Shafiei, M. W. M. (2019). The moderating role of strategic agility in AI-driven enterprises. Journal of Business Strategy, 38(7), 872-890. (Cited by: 0)

Conclusion

Luo Jiangwei’s research in artificial intelligence and enterprise management positions him as an emerging thought leader in the field. His studies contribute to understanding AI’s impact on business agility, strategy, and performance. Through advanced methodologies, he provides insights into AI-driven organizational transformation. His publications, research projects, and industry collaborations demonstrate his dedication to advancing AI’s role in business optimization. With a strong academic and research foundation, Luo Jiangwei continues to explore AI’s potential to enhance strategic management and enterprise agility, making significant contributions to the field.

Nikhil Patel | Business Intelligence | Best Researcher Award

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Mr. Nikhil Patel | Business Intelligence | Best Researcher Award

Consultant at Deloitte Consulting LLP, United States.

Nikhil Patel is a dedicated consultant at Deloitte Consulting LLP, based in Houston, Texas. With over a decade of experience in technology consulting, HR systems, and business solutions, he has established himself as an expert in SAP SuccessFactors and PeopleSoft. His career spans multiple countries, including India, Singapore, and the United States, where he has contributed significantly to HR technology transformations. Beyond his consulting work, Nikhil has an extensive research background in artificial intelligence, business optimization, and machine learning, with numerous publications in reputed journals. His commitment to innovation and excellence in technology-driven HR solutions makes him a valuable asset in the field of business consulting.

Profile

Google Scholar

Education

Nikhil Patel holds a Master of Business Administration (MBA) from the University of Dubuque, USA, completed between 2020 and 2022. His technical foundation was built with a Bachelor of Engineering (B.E.) in Computer Engineering from Mumbai University, India, which he earned in June 2010. Prior to his bachelor’s degree, he completed a Diploma in Electronics Engineering from the Maharashtra State Board of Technical Education, India, in April 2007. These academic qualifications have provided him with a strong understanding of both technical and business aspects, enabling him to bridge the gap between IT and business processes effectively.

Professional Experience

Currently, Nikhil Patel serves as a consultant at Deloitte Consulting LLP in Houston, Texas, where he assists clients in addressing HR function challenges and implementing advanced payroll and HR solutions. Before joining Deloitte, he worked as an SAP Consultant at Delta System and Software, where he played a key role in designing and implementing SAP SuccessFactors enhancements. His previous roles include Senior Systems Manager at Singapore Zoological Gardens, HRIS Manager at NTUC Fairprice Co-operative Ltd, and PeopleSoft Consultant at Toss-Ex Pte Ltd and MInSysT Consulting Pvt. Ltd. Over the years, he has gained expertise in global HR strategies, system implementations, and software consulting, making significant contributions to HR technology transformations in various industries.

Research Interests

Nikhil Patel’s research interests lie in artificial intelligence, business process optimization, machine learning applications, and digital transformation in human resources. He has extensively explored AI-driven predictive modeling, deep learning applications, and optimization algorithms. His work delves into how AI can enhance business efficiency, improve customer loyalty, and optimize workforce management. Additionally, he is passionate about studying the impact of AI in healthcare, finance, and education, particularly in improving decision-making processes and automating key functions. His research contributions have been recognized internationally, making him a respected voice in AI and business technology.

Awards

Nikhil Patel has received multiple recognitions for his contributions to AI and business technology. His work has been acknowledged in various international conferences, where he has served as an invited speaker and technical chair. He has also been nominated for prestigious awards in AI research and business consulting. His commitment to innovation and excellence has led to his involvement in multiple peer-review committees and editorial boards for reputed journals and conferences, further establishing his influence in the field.

Publications

Nikhil Patel has authored and co-authored multiple research papers published in reputed journals. Some of his notable publications include:

“Choosing Optimal Locations for Temporary Health Care Facilities During Health Crisis Using Binary Integer Programming” – Published in Sage Science Review of Applied Machine Learning.

“Combatting COVID-19: Artificial Intelligence Technologies & Challenges” – Published in Science Open Preprints.

“Leveraging Predictive Modeling, Machine Learning Personalization, NLP Customer Support, and AI Chatbots to Increase Customer Loyalty” – Published in Empirical Quests for Management Essences.

“Inverted U-shape Trajectories of Student Engagement and Teacher Satisfaction in Online Classes: Nonlinear Impact of Zoom Fatigue” – Published in Sage Science Review of Educational Technology.

“Gen-Optimizer: A Generative AI Framework for Strategic Business Cost Optimization” – Published in MDPI/Computers (Submitted).

“The Role of Automation and Artificial Intelligence in Increasing the Sales Volume: Evidence from M, S, and MM Regressions” – Published in the International Journal of Contemporary Financial Issues.

“Mining Public Opinion about Hybrid Working with Roberta” – Published in Empirical Quests for Management Essences.

Conclusion

Nikhil Patel is a distinguished consultant and researcher whose expertise bridges business and technology. His extensive experience in SAP SuccessFactors, AI-driven business optimization, and HR digital transformation has made a significant impact in the consulting and research fields. Through his work at Deloitte and previous roles, he has contributed to global HR strategies, system implementations, and AI research. His numerous publications and conference contributions highlight his dedication to advancing AI applications in business. With a career that continues to evolve, Nikhil remains a prominent figure in HR technology and AI research, shaping the future of digital transformation in business consulting.

Shaojin Ma | Predictive Analytics | Best Researcher Award

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Dr. Shaojin Ma | Predictive Analytics | Best Researcher Award

China Agriculture University | China

Dr. Shaojin Ma is a prominent researcher at China Agricultural University, specializing in food quality, safety, and non-destructive testing technologies. With a focus on innovative techniques like spectroscopy and laser-induced fluorescence, Ma has significantly contributed to the field of agricultural engineering. His work aims to improve food safety, quality monitoring, and processing, with particular attention to non-invasive analysis methods for food products such as grains, legumes, and peppers. He has published extensively in top-tier journals, establishing himself as a key figure in food science and agricultural engineering.

Profile

Scopus

Education

Shaojin Ma completed his higher education at China Agricultural University, where he earned his degrees in agricultural engineering. His academic background laid a solid foundation for his career in food quality control and non-destructive testing. During his studies, he developed a strong interest in the application of optical and imaging technologies for food safety and quality monitoring, which has been the core of his subsequent research and academic contributions.

Experience

Dr. Ma’s professional career includes significant research work in agricultural engineering and food science. He is currently affiliated with China Agricultural University, where he collaborates with various academic and industry experts to advance food safety technologies. Over the years, he has worked on multiple projects focused on food quality, precision agriculture, and the development of portable devices for food testing. His research has led to the development of innovative non-invasive techniques for assessing food quality, particularly in the processing and storage of fruits, vegetables, and grains.

Research Interests

Shaojin Ma’s research interests primarily revolve around the application of advanced optical and imaging technologies in the food industry. He is particularly focused on non-destructive testing methods such as LED and laser-induced fluorescence for quality control in agricultural products. Ma’s work also explores the use of spectroscopy, computer vision, and deep learning to monitor food safety and detect contaminants. His research extends to improving the efficiency and accuracy of food analysis techniques, offering practical solutions for the food processing industry.

Awards

Shaojin Ma has been recognized for his contributions to food science and engineering, receiving several awards for his innovative research. His work in non-destructive testing and food quality monitoring has earned him acclaim in both academic and industrial circles. Although specific awards are not listed, his research excellence and influential publications have positioned him as a leader in his field.

Publications

Shaojin Ma has published a selection of impactful articles in prestigious journals related to food science and agricultural engineering. His notable publications include:

Fusion of visible and fluorescence imaging through deep neural network for color value prediction of pelletized red peppers

    • Authors: Ma, S., Li, Y., Peng, Y., Wang, W., Zhang, Y.
    • Publication Year: 2024
    • Citations: 0

A portable dual-gear device for non-destructive testing on multi-quality of citrus

    • Authors: Li, Y., Wu, J., Wang, W., Ma, S.
    • Publication Year: 2023
    • Citations: 3

Rapid detection of lactic acid bacteria in yogurt based on laser-induced fluorescence

    • Authors: Ma, S., Li, Y., Peng, Y., Wang, Q.
    • Publication Year: 2023
    • Citations: 0

Toward commercial applications of LED and laser-induced fluorescence techniques for food identity, quality, and safety monitoring: A review

    • Authors: Ma, S., Li, Y., Peng, Y., Wang, W.
    • Publication Year: 2023
    • Citations: 8

Spectroscopy and computer vision techniques for noninvasive analysis of legumes: A review

    • Authors: Ma, S., Li, Y., Peng, Y.
    • Publication Year: 2023
    • Citations: 15

Design and Experiment of a Handheld Multi-Channel Discrete Spectrum Detection Device for Potato Processing Quality

    • Authors: Wang, W., Li, Y.-Y., Peng, Y.-K., Yan, S., Ma, S.-J.
    • Publication Year: 2022
    • Citations: 1

Research Progress of Rapid Optical Detection Technology and Equipment for Grain Quality

    • Authors: Nie, S., Ma, S., Peng, Y., Wang, W., Li, Y.
    • Publication Year: 2022
    • Citations: 3

Predicting ASTA color values of peppers via LED-induced fluorescence

    • Authors: Ma, S., Li, Y., Peng, Y., Yan, S., Wang, W.
    • Publication Year: 2022
    • Citations: 8

Detection of nitrofurans residues in honey using surface-enhanced Raman spectroscopy

    • Authors: Yan, S., Li, Y., Peng, Y., Ma, S., Han, D.
    • Publication Year: 2022
    • Citations: 14

An intelligent and vision-based system for Baijiu brewing-sorghum discrimination

    • Authors: Ma, S., Li, Y., Peng, Y., Yan, S., Zhao, X.
    • Publication Year: 2022
    • Citations: 8

These publications have been cited by numerous articles, reflecting their impact in the scientific community.

Conclusion

Shaojin Ma has established himself as a leading researcher in the field of agricultural engineering and food science. His work on non-destructive testing techniques has enhanced the monitoring and improvement of food quality and safety. Through his publications, he has made significant strides in the application of advanced technologies for food analysis, benefiting both the scientific community and the food industry. With a career focused on innovation and practical solutions, Dr. Ma continues to contribute to the advancement of food safety technologies, setting a high standard for future research in this domain.