Assoc. Prof. Dr. Junguo Shi | Technological Network | Best Researcher Award

Assoc. Prof. Dr. Junguo Shi | Technological Network | Best Researcher Award

Assoc. Prof. Dr. Junguo Shi, Jiangsu University, China

Assoc. Prof. Dr. Junguo Shi is a leading scholar in Industrial Economics and Innovation Studies, specializing in technological advancement, industrial dynamics, and latecomer economic development. He earned his Ph.D. in Economics from Northeastern University, China, and Eindhoven University of Technology, the Netherlands. Currently, he serves as an Associate Professor and Ph.D. Supervisor at Jiangsu University. His research explores disruptive innovation, technological networks, and patent analysis, significantly contributing to the field of economic development and industry transformation. With an extensive academic and research background, Dr. Shi has made substantial contributions to emerging economies and industrial evolution.

Professional Profile:

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πŸ† Suitability for Best Researcher Award

Assoc. Prof. Dr. Junguo Shi is an outstanding candidate for the Best Researcher Award due to his pioneering contributions to industrial economics and innovation research. His work on disruptive innovation and industrial evolution has significantly shaped the understanding of technological advancement and latecomer economies. His strong publication record, interdisciplinary expertise, and international collaborations with scholars from China, the Netherlands, and Korea highlight his research excellence. With experience in economic modeling, patent analysis, and industrial transformation, Dr. Shi has developed influential theories that impact both academia and industry, making him highly deserving of this prestigious recognition.

πŸŽ“ EducationΒ 

Dr. Junguo Shi’s academic journey spans multiple prestigious institutions. He earned his Ph.D. in Economics (2013-2017) from Northeastern University, China, and Eindhoven University of Technology, the Netherlands, specializing in Disruptive Innovation and Industrial Evolution. His dissertation, supervised by Prof. Peili Yu, Guangsheng Sun, Bert Sadowski, and Γ–nder Nomaler, focused on endogenous preference in industrial transformation. Prior to his Ph.D., he obtained a Master’s in Economics (2011-2013) from Northeastern University, where he explored entrepreneurial behavior in pyramid-distributed markets. His academic background combines economic theory, industrial analysis, and technological innovation, positioning him as a leader in his field.

🏒 Work Experience 

Dr. Junguo Shi has an extensive academic career in industrial economics and technological innovation. He is currently an Associate Professor and Ph.D. Supervisor at Jiangsu University, China (2022–present), where he mentors doctoral students and conducts groundbreaking research. Previously, he served as an Assistant Professor (2017–2022) at the same institution. From 2019 to 2021, he was a Postdoctoral Researcher at Seoul National University, Korea, under the supervision of Prof. Keun Lee, focusing on emerging economies and innovation systems. His professional experience integrates theoretical economics, agent-based simulations, and policy-oriented research in global industrial transformation.

πŸ… Awards and HonorsΒ 

Dr. Junguo Shi has received multiple accolades for his exceptional contributions to industrial economics and innovation research. His research has been recognized at top international conferences and journals, earning him Best Paper Awards and invitations to prestigious research collaborations. He has been a recipient of competitive research grants supporting his work in technological innovation and economic development. His contributions to policy analysis and industrial transformation have also earned recognition from academic institutions and government bodies. With a strong track record of academic excellence and impactful research, Dr. Shi continues to be a leading figure in innovation economics.

πŸ”¬ Research FocusΒ 

Dr. Junguo Shi’s research primarily revolves around disruptive innovation, industrial dynamics, and latecomer economic development. His work follows the Neo-Schumpeterian tradition, exploring how emerging economies catch up with technological leaders. He employs agent-based simulations, patent analysis, and technological network modeling to study innovation diffusion and industrial transformation. His research has provided valuable insights into China’s economic growth, examining the role of government policies, firm behavior, and technological trajectories in shaping industrial evolution. Additionally, he investigates entrepreneurial incentives in markets with hierarchical structures, contributing to a deeper understanding of how firms adapt to disruptive technologies. His interdisciplinary approach combines economics, computational modeling, and empirical analysis, making significant contributions to policy-making and industrial strategy. By bridging theoretical frameworks with practical applications, Dr. Shi’s research enhances global discussions on technology-driven economic development.

πŸ“š Publication Top Notes:

  • Title: The Determinant Factors of Business to Business (B2B) E-Commerce Adoption in Small and Medium-Sized Manufacturing Enterprises
    • Year: 2020
    • Citations: 124
  • Title: Exploring the Optical Impact of Information Communication Technology and Economic Growth on COβ‚‚ Emission in BRICS Countries
    • Year: 2023
    • Citations: 44
  • Title: Joint Effects of Ownership and Competition on the Relationship between Innovation and Productivity: Application of the CDM Model to the Chinese Manufacturing Sector
    • Year: 2020
    • Citations: 38
  • Title: Investigating the Impact of Export Product Diversification on Environmental Degradation: Evidence from Chinese Provinces
    • Year: 2023
    • Citations: 31
  • Title: The Role of Economic Growth and Governance on Mineral Rents in Main Critical Minerals Countries
    • Year: 2023
    • Citations: 30

 

Mrs. Geetha Rani | Cloud Network Award | Best Researcher Award

Mrs. Geetha Rani | Cloud Network Award | Best Researcher Award

Mrs. Geetha Rani, Gitam University, India

🌟 Mrs. Geetha Rani, hailing from Gitam University, India, is a distinguished academic with a Ph.D. in Computer Science and Engineering. Her doctoral thesis, “Ensuring Data Storage Security in Cloud Computing using Cryptographic Mechanisms,” underscores her expertise in the realm of cybersecurity. With an MBA in Human Resources and a plethora of certifications from platforms like NPTEL and Coursera, she continually enriches her knowledge base. Mrs. Geetha Rani’s prowess extends beyond academia; she’s renowned for her contributions to NBA and NAAC criteria work, alongside curriculum supervision for autonomous syllabi. Her career embodies a harmonious blend of teaching, research, and administrative excellence. πŸŽ“

Professional Profile:

Google scholar

Orcid

Educational Background πŸŽ“

  • Ph.D. (Computer Science and Engineering) – Gitam University, Nagandenahalli, Bengaluru (Submitted Thesis: “Ensuring Data Storage Security in Cloud Computing using Cryptographic Mechanisms”)
  • MBA (Human Resources) – Acharya Nagarjuna University, Guntur (2011-2013)

Research and Publications πŸ“

Mrs. Geetha Rani has guided numerous research projects and published articles in international journals and conferences. Her research focuses on data storage security in cloud computing using cryptographic mechanisms.

Certifications πŸ“œ

She has completed various certifications and online courses from platforms like NPTEL and Coursera, enhancing her knowledge and skills in her field.

Achievements and Expertise 🌟

Mrs. Geetha Rani is well-known for her contributions to NBA and NAAC criteria work and curriculum supervision for autonomous syllabi. She has consistently demonstrated excellence in teaching, research, and academic administration throughout her career.

Publication Top Notes:

  1. Using GitHub and Grafana Tools: Data Visualization (DATA VIZ) in Big Data
    • Published in: Computer Vision and Robotics: Proceedings of CVR 2022
    • Year: 2023
    • Summary: This paper explores the use of GitHub and Grafana tools for data visualization in big data contexts.
  2. A Survey of Recent Cloud Computing Data Security and Privacy Disputes and Defending Strategies
    • Published in: CSCT
    • Year: 2022
    • Summary: This survey addresses recent disputes in cloud computing data security and privacy, along with strategies for defense.
  3. A Practical Approach of Recognizing and Detecting Traffic Signs using Deep Neural Network Model
    • Published in: 2022 Fourth International Conference on Emerging Research in Electronics
    • Year: 2022
    • Summary: The study presents a deep neural network model for recognizing and detecting traffic signs.
  4. To Increase Security and Privacy, the QAES Encryption Algorithm is used for Storage of Data for Cloud Computing
    • Published in: 2022 IEEE 19th India Council International Conference (INDICON)
    • Year: 2022
    • Summary: This paper discusses the use of the QAES encryption algorithm to enhance data security and privacy in cloud computing.
  5. Air Quality Predictor to Reduce Health Risks and Global Warming
    • Published in: 2023 2nd International Conference on Automation, Computing and Renewable
    • Year: 2023
    • Summary: The publication focuses on an air quality predictor aimed at reducing health risks and mitigating global warming effects.