Hong Zhang | Decision Science and Technology | Best Researcher Award

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Assoc. Prof. Dr. Hong Zhang | Decision Science and Technology | Best Researcher Award

Associate Professor at Guangxi university of science and technology, China

Dr. Zhang Hong is an esteemed academic and researcher currently serving as an Associate Professor at the School of Economics and Management, Guangxi University of Science and Technology. With a strong interdisciplinary background, he has made significant contributions to the fields of vehicle engineering, philosophy of science and technology, and mechanical engineering. His research interests encompass technical standardization strategy, hydrogen energy, and digital management in the automotive industry. Over the years, Dr. Zhang has actively participated in multiple research projects, industry collaborations, and academic endeavors, solidifying his reputation as an expert in his field. His dedication to research and teaching has been instrumental in shaping future scholars and advancing technological innovations.

Profile

Orcid

Education

Dr. Zhang Hong has pursued an extensive academic journey, earning multiple degrees in diverse yet interconnected disciplines. He obtained his Ph.D. in Vehicle Engineering from Hunan University in 2016, demonstrating his deep expertise in the field. Prior to that, he completed a Master of Arts in Philosophy of Science and Technology at Hunan University in 2003, reflecting his analytical approach to engineering and management sciences. Additionally, he earned a Bachelor’s degree in Mechanical Engineering from Hunan Radio and Television University in 1990. His diverse educational background has enabled him to integrate engineering principles with management strategies, making him a well-rounded researcher and academician.

Experience

Dr. Zhang Hong’s professional career spans over three decades, covering both industry and academia. Since 2004, he has been an Associate Professor at Guangxi University of Science and Technology, where he has contributed significantly to research and teaching. Before transitioning to academia, he gained valuable industrial experience, working at Hunan Zhuzhou Hard Alloy Factory in various capacities. He served as an Engineer at the Mold Factory from 1999 to 2001, an Assistant Engineer at the Cutting Tool Factory from 1995 to 1999, and a Technician at Branch Factory Three from 1987 to 1995. His industrial experience has provided him with practical insights that he seamlessly integrates into his research and teaching methodologies.

Research Interests

Dr. Zhang Hong’s research is centered around the digital transformation of the automotive industry, with a particular focus on new energy vehicles and hydrogen energy. He has also explored areas such as technical standardization strategy, digital management, and energy-saving automotive recycling processes. His recent research addresses the limitations of pre-trained models in dialect recognition, where he has proposed a fine-tuning strategy to enhance model performance. His work aims to improve efficiency, sustainability, and innovation in the automotive sector, aligning with global trends toward energy conservation and emission reduction.

Awards

Dr. Zhang Hong has received recognition for his contributions to research and innovation in the automotive and management sciences. His achievements in publishing high-impact papers and conducting influential research have led to nominations for prestigious awards such as the Best Researcher Award and Excellence in Innovation. His commitment to advancing scientific knowledge and technological applications continues to earn him accolades from the academic and professional communities.

Publications

Dr. Zhang Hong has authored multiple research articles in reputed journals, contributing valuable insights to the fields of vehicle engineering and management sciences. Some of his notable publications include:

Zhang Hong, Shaojie Liu (2023). “An intuitive fuzzy multi-attribute decision making method based on a herding psychology improved score function for trading decisions.” Journal of Intelligent Fuzzy Systems, 46(12): 7353-7365. (Cited by 15 articles)

Zhang Hong, Wang Daoping (2014). “Evaluation of the recycling and processing scheme of automotive metal parts driven by energy saving and emission reduction.” Systems Engineering, (04): 37-44. (Cited by 10 articles)

Zhang Hong, Yan Xiaolei, Wang Shujian (2012). “Research on the advantage order of factors affecting fuel consumption of cars under complex road conditions based on grey theory.” China Mechanical Engineering, (16): 2005-2009. (Cited by 8 articles)

Zhang Hong, Chen Shuyu, Hu Jiamiao, Gong Hongman (2022). “Chinese Patent Asset Evaluation Policy Based on Co-word Analysis.” International Journal of Managerial Studies and Research (IJMSR), 10(3): 56-65. (Cited by 12 articles)

Zhang Hong, Hu Jiamiao, Chen Shuyu, Gong Hongman (2022). “Analysis on the Influencing Factors of Patent Value under Market Transaction Scenario.” International Journal of Managerial Studies and Research (IJMSR), 10(5): 41-52. (Cited by 9 articles)

Conclusion

Dr. Zhang Hong’s extensive academic background, industrial experience, and impactful research have established him as a leading expert in vehicle engineering and management sciences. His contributions to digital management, hydrogen energy, and technical standardization strategies continue to influence both academia and industry. Through his innovative research and dedication to education, he has made substantial strides in advancing sustainable automotive technologies. As he continues to publish high-quality research and engage in groundbreaking projects, Dr. Zhang remains a pivotal figure in the evolution of modern automotive engineering and management. His work not only contributes to scientific knowledge but also fosters practical advancements that drive the industry forward.

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.