Prof. Dr. Gaofei Ren | IoT Network Award | Best Researcher Award

Prof. Dr. Gaofei Ren | IoT Network Award | Best Researcher Award

Prof. Dr. Gaofei Ren, Jiujiang University, China

Prof. Dr. Gaofei Ren is a distinguished academic and researcher specializing in customer behavior and digital technology management. Currently a professor and master’s tutor at the School of Management, Jiujiang University, he has made significant contributions to the field through his innovative research and leadership. Dr. Ren holds a Ph.D. in Digital Technology Management from Hoseo University, a Master’s in Public Finance and Public Administration from Jiangxi University of Finance and Economics, and a Bachelor’s in Economics from Northwest University. With over 60 publications in esteemed journals like Technology in Society and two academic monographs, he has established himself as a thought leader. Dr. Ren has successfully led more than ten national and provincial projects, including those funded by the National Natural Science Foundation of China. His work addresses critical issues in IoT network environmental regulation, fiscal policies, and digital technology’s impact on customer behavior. πŸ“šπŸŒπŸ“Š

Professional Profile

Orcid

Suitability for Award

Prof. Dr. Gaofei Ren is an ideal candidate for the Best Researcher Award due to his groundbreaking contributions to customer behavior and digital technology management. His innovative research has provided critical insights into IoT network environmental regulation, fiscal policies, and the integration of digital technologies in management practices. Dr. Ren has published over 60 impactful papers in high-ranking journals, authored two academic monographs, and successfully led over ten prestigious research projects, including grants from the National Natural Science Foundation of China. His interdisciplinary approach combines economics, management, and technology, addressing real-world challenges and advancing academic understanding. As a professor at Jiujiang University, Dr. Ren has also mentored future leaders in management and technology. His academic rigor, impactful publications, and leadership in research make him a deserving recipient of this esteemed award. πŸ†πŸ“–πŸ”

EducationΒ 

Dr. Gaofei Ren’s educational journey reflects his dedication to interdisciplinary excellence in economics, management, and digital technology. He earned his Ph.D. in Digital Technology Management from Hoseo University, Korea, where he developed expertise in leveraging digital tools for effective management practices. Dr. Ren completed his Master’s in Public Finance and Public Administration at Jiangxi University of Finance and Economics, gaining a robust foundation in fiscal and tax policies. His academic journey began with a Bachelor’s in Economics from Northwest University, where he cultivated a deep understanding of economic principles and their practical applications. These diverse academic experiences have equipped Dr. Ren with a unique perspective on integrating technology and management strategies, enabling him to address complex challenges in customer behavior and environmental regulation. His academic achievements underpin his contributions to research and teaching, fostering innovation and knowledge dissemination. πŸŽ“πŸ“˜πŸŒ

ExperienceΒ 

Prof. Dr. Gaofei Ren has over two decades of academic and research experience, primarily at Jiujiang University, where he has served as a professor in the School of Management since 2003. During his tenure, Dr. Ren has demonstrated exceptional leadership in research, teaching, and project management. He has successfully led over ten national, provincial, and ministerial projects, including those funded by the National Natural Science Foundation of China. His expertise in customer behavior and digital technology management has been instrumental in advancing the university’s research initiatives. Dr. Ren has also contributed significantly to academia by publishing over 60 papers in reputable journals and authoring two academic monographs. His long-standing commitment to education and research has made him a key figure in his field, inspiring students and colleagues alike. πŸ«πŸ“ŠπŸŒŸ

Awards and HonorsΒ 

Prof. Dr. Gaofei Ren has received several accolades for his outstanding contributions to research and academia. His work has been recognized by prestigious funding bodies, including the National Natural Science Foundation of China, for leading impactful research projects. Dr. Ren’s publications in high-ranking journals and his authorship of two academic monographs have further established his reputation as a leading scholar in management and digital technology. His achievements in advancing IoT network environmental regulation, fiscal policies, and customer behavior studies have earned him respect and recognition within the academic community. Additionally, Dr. Ren has been honored for his mentorship, guiding numerous students to success in their academic and professional pursuits. These accolades reflect his dedication to excellence and innovation in research, teaching, and leadership. πŸ…πŸ“œπŸŒ

Research FocusΒ 

Prof. Dr. Gaofei Ren’s research focuses on the intersection of management, economics, and digital technology. His primary interests include customer behavior, digital technology management, IoT network environmental regulation, and fiscal and tax policies. Dr. Ren explores how digital tools can enhance management practices and improve customer experiences, addressing critical challenges in today’s technology-driven world. His research also delves into environmental regulation within IoT networks, aiming to develop sustainable and efficient solutions. By integrating fiscal and tax policy analysis, Dr. Ren provides valuable insights into the economic implications of digital transformations. His work is characterized by a multidisciplinary approach, bridging theoretical frameworks and practical applications. This focus has resulted in impactful contributions to academic literature and innovative solutions for real-world problems, advancing the fields of management and technology. πŸŒπŸ“–πŸ”¬

Publication Top Notes

  • Customer Perception, Integration Behavior, and Loyalty of Internet of Things Enterprises
    • Year: 2024
  • Does Environmental Tax Promote Green Investment of Manufacturing Firms? Evidence from Chinese Heavy-Polluting Listed Companies
    • Year: 2023
  • Is the Impact of Environmental Regulation on Enterprise Green Technology Innovation Incentives or Inhibitions? A Re-examination Based on the China Meta-Analysis
    • Year: 2023
  • Study on Green Development Path and Fiscal Tax Governance from the Perspective of Supply-Side
    • Year: 2022 (December 30)
  • Research on the Short Video Newsfeed Ads, Perceived Value, and Purchase Intention from the Perspective of Chinese Mobile Short Videos
    • Year: 2020

Dr. Voore Subba Rao | IoT Network Awards | Research and Innovation Achievement Award

Dr. Voore Subba Rao IoT Network Awards | Research and Innovation Achievement Award

Dr. Voore Subba Rao, Anurag University, India

Dr. Voore Subba Rao is an Assistant Professor at Chaitanya Institute of Technology & Science, Warangal, India. He holds a Ph.D. in Computer Science & Engineering specializing in Internet of Things (IoT) from CCS University, New Delhi, complemented by a Master’s in Computer Application (MCA) and M.Tech. in Computer Science & Engineering. Dr. Rao’s expertise encompasses IoT and Optimization of Clustering Problems using Nature Inspired Computing (NIC) Techniques. With a career spanning roles such as Lecturer at Govt. Meerut College and Assistant Professor at various institutions, he has received accolades including the “Best Paper Presentation Award” at ICRSET-2021 and the “Best Researcher Award” from Glacier Journal of Scientific Research in 2022. His contributions to IoT research have been recognized with an Appreciation Award for IEEE paper presentation on IoT-enabled Intelligent Traffic Control Management System.

🌐 Professional Profile:

Scopus

πŸ“š Academic Details:

Earned a Master’s in Computer Application (MCA) with First Class from Meerut University in 1991, followed by a First Class M.Tech. in Computer Science & Engineering from JNTU, Hyderabad in 2012. Completed a Ph.D. in Computer Science & Engineering specializing in Internet of Things (IoT) from CCS University, New Delhi in 2017.

πŸ” Areas of Specialization:

Expertise lies in Internet of Things (IoT) and Optimization of Clustering Problems using Nature Inspired Computing (NIC) Techniques.

πŸ‘¨β€πŸ« Professional Experience:

Started as a Lecturer at Govt. Meerut College, Meerut, teaching B.Sc. and MCA students for 7 years. Held positions such as Assistant Lecturer at KITS, Nagpur, and progressed to roles like Assistant Professor and Software Trainer at various institutions including Rajiv Gandhi College of Engg. & Research, Nagpur and ADCC Infocad Ltd., Nagpur. Currently serving as an Assistant Professor at Chaitanya Institute of Technology & Science, Warangal.

πŸ† Awards:

Received the “Best Paper Presentation Award” at ICRSET-2021 for IoT-based research and the “Best Researcher Award- Adarsh Vidya Saraswati Rastriya Puraskar” from Glacier Journal of Scientific Research in 2022. Also recognized with an Appreciation Award for IEEE paper presentation on IoT-enabled Intelligent Traffic Control Management System at a flagship IEEE conference in 2024 at IIIT, Gwalior.

Publication Top Notes:

  • Title: Internet of Things (IoT) based Data Analysis for Feature Selection by Hybrid Swarm Intelligence (SI) Algorithm
    • Year: 2024
  • Title: Internet of Things (IoT) Enabled Intelligent Traffic Control Management System By Hybrid Swarm Intelligence (SI) Algorithm
    • Year: 2024
  • Title: Smart University Application: Internet of Things (IoT)-Based Smart and Random Method to Collect Waste Management System in a University Campus by Using Ant Colony Optimization (ACO) Algorithm
    • Year: 2024
  • Title: Optimizing horizontal scalability in cloud computing using simulated annealing for Internet of Things
    • Year: 2023
  • Title: Resource Management Techniques for the Internet of Things, Edge, and Fog Computing Environments
    • Year: 2023