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.

Supria Basak | Business Intelligence | Analytics Excellence Award

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Ms. Supria Basak | Business Intelligence | Analytics Excellence Award

Data Analyst at Worcester Polytechnic Institute, United States

Supria Basak is currently pursuing a Master’s in Information Technology with a concentration in Data Analytics at Worcester Polytechnic Institute (WPI), Massachusetts, with an exceptional academic record. Holding a Bachelor’s in Computer Science and Engineering from NIT Trichy, India, she has showcased her expertise in data analytics, machine learning, and user behavior analysis. Her professional experiences span roles as a Data Analyst, Research Assistant, and Teaching Assistant at WPI, as well as an actuarial data intern at Quincy Mutual Group. Her research interests include Data Visualization, Business Analytics, Machine Learning, FinTech, and Healthcare Analytics. Supria is a certified specialist in Human Subjects Research, Adversarial Machine Learning, and Data Science.

Profile

Google Scholar

Education

Supria Basak’s educational journey began with a Bachelor’s degree in Computer Science & Engineering from NIT Trichy, where she also pursued a minor in Economics. Her academic coursework was focused on subjects such as Artificial Intelligence, Data Mining, and Cryptography, which laid the foundation for her analytical prowess. Currently, at WPI, she is on track to complete her MS in Information Technology by May 2025, concentrating on Data Analytics and Information Systems Design. Her coursework includes Business Intelligence, Machine Learning, and Database Design, and she has maintained a flawless GPA of 4.0, demonstrating her dedication and intellectual capability in the field.

Experience

Supria has amassed substantial experience across multiple sectors, especially in data analysis and research. At WPI, she serves as a Data Analyst, where she enhances data accuracy and drives strategic initiatives that inform business decisions. Her role includes analyzing institutional financial data and conducting research on alumni employment trends. She also played a key role in advising on the implementation of open educational resources, aiming to reduce financial burdens on students. Her previous experience as an Actuarial Data Analyst Intern at Quincy Mutual Group involved building predictive models for insurance premiums and developing automated reporting tools. As a Graduate Research Assistant and Teaching Assistant at WPI, she focused on health data analysis, contributing to the improvement of health outcomes via user behavior insights.

Research Interests

Supria’s research interests encompass a broad range of topics, including Data Visualization, Machine Learning, Healthcare Analytics, and User Behavior Analysis. She is particularly interested in studying how machine learning and data analytics can be utilized to improve decision-making processes in sectors like education, healthcare, and business. Supria has explored topics such as habit formation through app usage data, the influence of exercise routines on health outcomes, and the potential for machine learning to detect psychological disorders like Body Dysmorphic Disorder (BDD). Her work on sentiment analysis and social network studies exemplifies her ability to use data to gain deeper insights into human behavior and societal trends.

Awards

Supria has been recognized for her academic excellence and contributions to the field of data science. Notably, she was awarded the prestigious ICCR Scholarship for fully-funded undergraduate study, placing her in the top 0.5% of candidates from both India and Bangladesh. She also demonstrated leadership as the Marketing Head for Sports Club at NIT Trichy and as the Vice President of the Mental Health & Lifestyle Club. These roles illustrate her ability to balance academics with extracurricular commitments. Supria’s involvement in various hackathons and competitions, such as her placement in the TransfiNitte Hackathon and Smart India Hackathon, further emphasizes her exceptional problem-solving and innovative skills.

Publications

Alam, Mohammad Morshad, Basak, Nandita, Basak, Supria, et al. “Body Dysmorphic Disorder (BDD) Symptomatology Among Undergraduate University Students of Bangladesh.” Journal of Affective Disorders, Elsevier, Oct 2022. Impact Factor: 6.53.

Supria Basak’s forthcoming research paper will focus on detecting BDD using Machine Learning, specifically analyzing the role of cyberbullying through Natural Language Processing.

Conclusion

Supria Basak is an emerging leader in the field of Data Analytics, with a keen interest in leveraging machine learning and analytics to solve real-world problems. Her solid academic foundation, hands-on experience in various data-related roles, and her contributions to important research topics make her a promising candidate for future opportunities in data science, analytics, and beyond. Her combination of technical expertise, leadership skills, and an eagerness to continue advancing in her field ensures she will continue to make significant impacts in her chosen areas of research and industry.