Chenyong Shi | Business-level Strategy | Best Researcher Award

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Dr. Chenyong Shi –  Business-level Strategy –  Best Researcher Award

The University of Leicester | United Kingdom

      Profiles

Scopus

📍Current Position

Currently, ChenYong Shi is engaged in part-time teaching and mentoring at Shanghai University of Finance and Economics (2018-2024), focusing on ACCA certification training. This role has allowed him to teach courses in Management Accounting (F5), Financial Reporting (F7), and Financial Management (F9).

 

📝Publication Achievements

ChenYong has made notable contributions to international journals, focusing on environmental regulation, digital inclusion, and clean energy innovation. His recent publications include:

“How does command-and-control environmental regulation impact firm value? A study based on ESG perspective” in Environment, Development and Sustainability (2024).

“The impact of digitalization on the rich and the poor: Digital divide or digital inclusion?” in Technology in Society (2024).

“Impact of the digital economy, energy employment, and supply chain management on the interaction of energy and digital systems: towards a clean energy innovation scenario” in Energy Economics (submitted, 2024).

 

🔍Ongoing Research

ChenYong Shi’s ongoing research focuses on:

The financial and geopolitical determinants of Chinese OFDI and their impact on corporate performance, with an emphasis on how these investments shape global economic trends.

 

🔬 Research Interests

Digital economy and its impact on economic inclusivity, examining how technology influences wealth disparities.

Environmental, Social, and Governance (ESG) factors and their influence on firm value, particularly within the context of command-and-control regulations.

 

🎓Academic Background

PhD in International Business Management Research from the University of Leicester (2019-2024). Thesis: “Financial and Geopolitical Determinants of Chinese OFDI: Impact on Corporate Performance.”

Master of Business Administration (MBA) from Cardiff University (2017-2018).

BSc (Hons) in Accounting and Finance from Oxford Brookes University (2015-2017).

Professional Qualifications: Affiliate/Member of the Association of Chartered Certified Accountants (ACCA) (2013-2018).

 

🏆Scholarships and Awards 

Throughout his academic journey, ChenYong has been recognized for his exceptional academic performance and commitment to research. His achievements include scholarships awarded by prestigious institutions, recognizing his potential and contribution to the field of international business and finance.

 

🧬Bioinformatics 

While not directly in bioinformatics, ChenYong Shi’s work shares an interdisciplinary edge, integrating financial analysis with socio-economic trends, ESG metrics, and the digital economy’s impact on public policy. This approach reflects a bioinformatics-like integration of complex data sources and analysis methodologies, which supports broader research goals.

 

🌐Professional Associations 

ChenYong is a member of the Association of Chartered Certified Accountants (ACCA), which has enabled him to stay updated with financial standards and practices. His active participation in academic and professional circles further exemplifies his dedication to advancing financial research and management.

 

 📚Training & Workshops 

ChenYong has participated in numerous training programs and workshops focused on financial management, corporate strategy, and international business. These have enhanced his teaching techniques, particularly in online education, enabling him to adapt to remote learning platforms effectively.

 

🎤Oral Presentations and🗣️Thought Leadership 

With a knack for clear and engaging communication, ChenYong has delivered presentations at academic seminars and professional conferences. His presentations focus on Chinese OFDI, ESG standards, and the digital economy’s implications, reflecting his ability to convey complex concepts to diverse audiences.

 

🧑‍🔬Tasks Completed as a Researcher 

Throughout his research career, ChenYong has conducted data analysis, literature reviews, and case studies across several disciplines. His work involves:

Conducting statistical analyses using tools like SPSS, Python, and STATA.

Preparing detailed reports on research findings.

Drafting and publishing research papers in high-impact journals.

 

🚀Success Factors 

ChenYong attributes his success to several factors:

In-depth knowledge of international finance and business strategy.

Strong analytical skills, particularly in financial and management accounting.

Adaptability to both academic and professional environments, including remote learning and online teaching.

 

🧪Publications & Laboratory Experience

ChenYong’s extensive publication record highlights his ability to produce impactful research, while his laboratory experience in financial analytics and business case studies has equipped him with hands-on knowledge in real-world financial analysis.

 

🔍 Conclusion

ChenYong Shi’s diverse background in academia, finance, and investment, combined with his commitment to research, teaching, and professional development, positions him as a dynamic and forward-thinking leader in the field of international business management. As he continues to publish cutting-edge research and engage with industry leaders, ChenYong remains poised to make significant contributions to the realms of finance and international business strategy.

 

📚Publications

The impact of digitalization on the rich and the poor: Digital divide or digital inclusion?

 Authors: Hong, X., Chen, Q., Man, D., Shi, C., Wang, N.

 Journal :  Technology in Society, 

How does command-and-control environmental regulation impact firm value? A study based on ESG perspective

 Authors: Hong, X., Ning, M., Chen, Q., Shi, C., Wang, N.

 Journal :  Environment, Development and Sustainability, 

      

GERMÁN HERRERA VIDAL | Production and Supply Chain | Best Researcher Award

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Dr. GERMÁN HERRERA VIDAL –  Production and Supply Chain –  Best Researcher Award

Universidad del Sinú Seccional Cartagena | Colombia

      Profiles

Scopus

Orcid

📍Current Position

Dr. German Herrera Vidal currently serves as an Associate Researcher endorsed by Colciencias, Colombia’s leading agency for science and technology. He is also a certified business consultant through Argentina’s National Institute of Industrial Technologies (INTI). In this capacity, Dr. Herrera Vidal applies his extensive knowledge to consult and guide projects focusing on improving productivity and competitiveness for diverse business organizations.

 

📝Publication Achievements

With a career rich in academic contributions, Dr. German Herrera Vidal has published numerous papers in top-tier journals and conferences in the fields of industrial engineering and business management. His publications primarily focus on optimization, quality management, and innovative methods for improving productivity. These works have contributed significantly to industry knowledge, offering practical solutions for operational and administrative challenges.

 

🔍Ongoing Research

Dr. Herrera Vidal is actively engaged in research that explores advanced industrial engineering solutions. His ongoing projects include the development of new optimization models and simulations for complex operational processes, designed to minimize inefficiencies and boost productivity. He is also examining the integration of sustainable practices in industrial operations, aligning business goals with environmental stewardship.

 

🔬 Research Interests

His research interests lie in developing solutions that address the complexities of productivity and operational efficiency using optimization and simulation methods. A particular focus of his ongoing work includes investigating the applications of bioinformatics in industrial settings, merging computational techniques with engineering principles to improve data-driven decision-making in complex business processes.

 

🎓Academic Background

Dr. German Herrera Vidal holds a Ph.D. in Engineering with a focus on Industrial Engineering from Universidad Nacional Lomas de Zamora (UNLZ, 2024). He also earned a Master’s in Engineering from Universidad Tecnológica de Bolívar (UTB, 2013) and specialized in Business Management at UTB in 2008. His journey began with a degree in Productivity and Quality Engineering from Politécnico Jaime Isaza Cadavid (PJIC, 2000), laying a solid foundation for his expertise in productivity and quality improvement.

 

🏆Scholarships and Awards 

Throughout his career, Dr. Herrera Vidal has received various scholarships and accolades in recognition of his academic and professional excellence. His outstanding contributions to the fields of productivity and quality have been acknowledged both locally and internationally, positioning him as a leader in industrial engineering.

 

🧬Bioinformatics 

Although Dr. Herrera Vidal’s primary focus is on industrial engineering, he has begun integrating bioinformatics techniques into his research. This cross-disciplinary approach allows him to explore how biological systems can inspire solutions to industrial challenges, thereby broadening his impact in industrial engineering.

 

🌐Professional Associations 

Dr. Herrera Vidal is affiliated with several professional associations in engineering and business management. These memberships provide him with a platform for knowledge exchange and professional development, as well as collaboration opportunities with experts in his field.

 

 📚Training & Workshops 

As a lifelong learner, Dr. Herrera Vidal frequently participates in workshops and training sessions on the latest advancements in industrial engineering, quality control, and productivity optimization. His dedication to continuous professional development ensures that he remains on the cutting edge of industry practices and technologies.

 

🎤Oral Presentations and🗣️Thought Leadership 

Dr. Herrera Vidal has delivered numerous oral presentations at prestigious conferences, sharing his findings on productivity and quality enhancement. These presentations have not only contributed to industry knowledge but also fostered valuable professional networks.

 

🧑‍🔬Tasks Completed as a Researcher 

In his role as a researcher, Dr. Herrera Vidal is responsible for conducting comprehensive studies that address critical issues in industrial engineering. His tasks include designing experiments, collecting and analyzing data, and applying simulation models to test hypotheses. His solutions are tailored to meet the unique needs of businesses, ensuring that his research has a lasting, positive impact on productivity and quality standards.

 

🚀Success Factors 

Dr. Herrera Vidal’s success can be attributed to his technical expertise, innovative thinking, and commitment to practical solutions. His proficiency in using optimization and simulation tools enables him to develop strategies that are both efficient and effective. Furthermore, his ability to communicate complex ideas in a clear and accessible manner ensures that his findings can be readily implemented by businesses and organizations.

 

🧪Publications & Laboratory Experience

Dr. Herrera Vidal’s laboratory experience is extensive, covering various aspects of industrial engineering from data collection to quality control testing. His publications, stemming from hands-on experimentation and rigorous analysis, are a testament to his meticulous approach to research. These works serve as valuable resources for those looking to improve operational efficiency and enhance competitive advantage.

 

🔍 Conclusion

Dr. German Herrera Vidal is a leading expert in industrial engineering, with an exceptional track record in research, innovation, and professional development. His accomplishments in productivity and quality engineering, combined with his commitment to advancing industrial practices, make him an invaluable asset to the field. Dr. Herrera Vidal’s journey exemplifies dedication, expertise, and a forward-thinking approach that will continue to impact industrial engineering for years to come.

📚Publications

Mathematical modelling of purchasing optimization for an MRP system with containerization constraints
   Authors: Germán Herrera Vidal; Danilo Abril Hernandez; Edgar Fernando Eslava; Jairo R. Coronado-Hernández; Samir F. Umaña Ibáñez

   Journal : OPSEARCH

Systematic Configurator for Complexity Management in Manufacturing Systems

   Authors: Germán Herrera-Vidal; Jairo R. Coronado-Hernández; Breezy P. Martínez Paredes; Blas Oscar Sánchez Ramos; David Martinez Sierra

   Journal :Entropy

Route Optimization for Open Vehicle Routing Problem (OVRP): A Mathematical and Solution Approach

   Authors: Diego Gasset; Felipe Paillalef; Sebastián Payacán; Gustavo Gatica; Germán Herrera-Vidal; Rodrigo Linfati; Jairo R. Coronado-Hernández

   Journal : Applied Sciences

Deterministic ınventory models with non-perishable product: a comparative study

   Authors: Germán Herrera Vidal; Camilo Molina Guerrero

   Journal: International Journal of System Assurance Engineering and Management

Measuring complexity in manufacturing systems: a new metric in flow shop (Fs) and job shop (Js) environments

   Authors: Germán Herrera Vidal; Jairo R. Coronado Hernández; Claudia Minnaard

   Journal: Production Engineering

Blessing Guembe | Innovation Strategy | Best Researcher Award

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Dr. Blessing Guemb – Innovation Strategy – Best Researcher Award

 

University of Milano | Italy

Profiles 

Scholar

📍Current Position

Since April 2024, he has been serving as a Research Fellow at the University of Milan. In this role, she focuses on developing explainable knowledge-based solutions to address critical issues related to privacy and information security. Her research aims to empower users to manage their personal data and access reliable content while safeguarding freedom of expression. She is actively involved in the KURAMi Project under the guidance of Prof. Giovanni Livraga, working on innovative solutions in privacy protection and data security.

📝Publication Achievements 

“Trustworthy Machine Learning Approaches for Cyberattack Detection: A Review” Computational Science and Its Applications – ICCSA 2022 Workshops, doi:10.1007/978-3-031-10548-7_20. “The Emerging Threat of AI-Driven Cyber Attacks: A Review” Applied Artificial Intelligence, 36(1) doi:10.1080/08839514.2022.2037254 “Cloud Applications Management – Issues and Developments. Computational Science and Its Applications – ICCSA 2018 doi:10.1007/978-3-319-951713_54

 

🔍Ongoing Research 

Explainable AI: Developing methods to make AI systems more interpretable and understandable to users. Federated Learning: Enhancing privacy and security in distributed learning environments. Misinformation: Tackling the spread of false information on social media platforms. Privacy: Ensuring that users’ personal data is protected and managed effectively.

 

🔬Research Interests 

Explainable AI: Techniques that make machine learning models transparent and understandable. Federated Learning: Collaborative learning methods that maintain data privacy and security. Misinformation: Strategies to detect and mitigate false information in digital media. Privacy and Security: Protecting personal data and ensuring compliance with privacy regulations.

🎓Academic Background 

Doctor of Philosophy (PhD) in Computer Science Covenant University, 2023 . Master of Science (MSc) in Computer Science
Covenant University, 2019.  Bachelor of Science (BSc) in Computer Science Niger Delta University, 2012

🏆Scholarships and Awards 

Throughout his academic and professional career, Blessing has been recognized for her contributions to computer science and technology. His achievements are indicative of her commitment to advancing knowledge and innovation in her field.

🌐Professional Associations 

Association for Computing Machinery (ACM). IEEE Computer Society . International Association for Privacy Professionals (IAPP)

 📚Training & Workshops 

Advanced Machine Learning Techniques, Federated Learning and Privacy-Preserving Technologies , Cybersecurity and Privacy Protection

🎤Oral Presentations 

He has delivered presentations at numerous conferences and workshops, sharing insights on her research in AI, cybersecurity, and privacy. These presentations have contributed to her reputation as a thought leader in her field.

🧑‍🔬Tasks Completed as a Researcher 

Implemented Federated Learning Models: Developed and deployed federated learning models for healthcare applications. Applied Homomorphic Encryption: Secured research datasets through advanced encryption techniques. Conducted Privacy Risk Assessments: Evaluated privacy risks associated with social media platforms and proposed protective measures.

🚀Success Factors 

His success can be attributed to her dedication to research, her ability to stay abreast of technological advancements, and her collaborative approach to problem-solving..

🧪Publications & Laboratory Experience

His publications highlight her contributions to the fields of machine learning and cybersecurity. Her laboratory experience includes working on innovative projects related to data security, federated learning, and privacy-preserving techniques.

📚Publications: