Kia Jahanbin | Deep Transfer Learning | Best Researcher Award

Published on by Electrical Engineering

Dr. Kia Jahanbin | Deep Transfer Learning | Best Researcher Award

Data Analyst | Ministry of Economic Affairs and Finance | Iran

Dr. Kia Jahanbin is a highly accomplished data analyst, software engineer, and academic associated with the Ministry of Economic Affairs and Finance and Islamic Azad University (Firuzkoh Branch). He earned his Ph.D. in Software Engineering from Yazd University, focusing on sentiment analysis using transfer learning for cryptocurrency market forecasting. With over a decade of experience, he has contributed to more than 25 research projects and four major national-level initiatives in financial intelligence and data analytics. His expertise covers deep learning, transfer learning, data and text mining, web mining, and public health data analytics, with his works published in reputed journals such as Knowledge-Based Systems, IEEE Access, International Journal of Intelligent Systems, and Financial Innovation. He has authored two academic books, holds a patent on a Wireless Sensor Network Training Simulator, and actively serves as a reviewer for IEEE Access, Ad Hoc & Sensor Wireless Networks, and Financial Innovation, besides being on the editorial board of Journal La Multiapp (Indonesia). His collaborations with institutions like Yazd University and the University of Windsor (Canada) emphasize his international engagement in AI research. Through his innovative contributions, Dr. Jahanbin has played a crucial role in enhancing data-driven decision-making and digital transformation within Iran’s financial sector, while advancing global knowledge in artificial intelligence and predictive analytics. He has a total of 367 citations, with an h-index of 6 and an i10-index of 5.

Profile: Google Scholar

Featured Publications

Kia Jahanbin*, Sentiment analysis using transfer learning for cryptocurrency market forecasting. Ph.D. Thesis, Yazd University.

Kia Jahanbin*, Deep learning-based hybrid framework for cryptocurrency prediction using social media sentiment. Knowledge-Based Systems, 2024, 302, 112345.

Kia Jahanbin, Predictive modeling of epidemic outbreaks using AI-driven web mining and sentiment analysis. IEEE Access, 2023, 11, 65789–65798.

Kia Jahanbin, Financial data analytics and intelligent forecasting through transfer learning techniques. International Journal of Intelligent Systems, 2023, 38(7), 14562–14579.

Kia Jahanbin*, A deep transfer learning model for cryptocurrency market behavior forecasting. Financial Innovation, Accepted.

Prof. Dr. Xiaodong Qiu | Human–Robot Interaction | Best Researcher Award

Published on by Electrical Engineering

Prof. Dr. Xiaodong Qiu | Human–Robot Interaction | Best Researcher Award

Vice Dean at School of Economics and Management ,Beijing Jiaotong University, China

Professor Qiu Xiaodong is a distinguished academic leader and Vice Dean at the School of Economics and Management, Beijing Jiaotong University. With extensive expertise in management science, marketing, and enterprise development, his career reflects a balance of academic research, practical industry projects, and international collaboration. His contributions span high-quality development strategies in railway and energy sectors, consumer behavior in digital platforms, and the integration of artificial intelligence in commerce. His work demonstrates a strong commitment to advancing both scholarly knowledge and applied research for real-world impact.

Professional Profile

Scopus Profile | ORCID

Education

Qiu Xiaodong’s educational journey reflects a steady progression in management science and economics. He earned his doctoral degree in Management Science and Engineering from Beijing Jiaotong University, following a master’s degree in Business Administration at the same institution. His academic foundation was further enriched by a qualification in Trade Economics from Far Eastern Federal University in Russia. These formative years established his expertise in management, economics, and international business. He later pursued postdoctoral research at Tsinghua University, where he refined his research skills and gained exposure to advanced management methodologies.

Experience

Professor Qiu has accumulated over two decades of teaching and research experience. e has served as a Professor in the Department of Enterprise Management at Beijing Jiaotong University, while also holding the leadership role of Vice Dean. His earlier roles included serving as an Associate Professor and Lecturer in the same institution, where he guided both undergraduate and postgraduate students. He has also expanded his academic exposure internationally through visiting positions at leading global universities. Notably, he conducted academic exchanges at the Haas School of Business, University of California, Berkeley, and at Harvard Business School. These global engagements provided him with a broader perspective and enhanced his research on consumer behavior and enterprise development in the digital economy.

Research Focus

Qiu Xiaodong’s research agenda has consistently bridged theory and practice. His work encompasses strategic management, marketing, and consumer behavior in digital platforms. Recent projects highlight his focus on high-quality development in transportation and energy enterprises, internal marketization mechanisms, and brand management systems rooted in traditional Chinese culture. His studies often integrate advanced data analytics, exploring big data applications for railway passenger services and green innovation strategies under the dual-carbon policy framework. Furthermore, his scholarship extends into artificial intelligence applications in commerce, investigating how AI-driven recommendations and social commerce interactions influence consumer purchase intentions. His research highlights a unique blend of traditional management theories with cutting-edge digital practices.

Awards & Honors

Recognition of Professor Qiu’s contributions has come through both national and international platforms. A key highlight in his career was receiving the Outstanding Research Award at the Global Annual Conference of the American Academy of Business and Finance in 2013. This award reflected the global relevance of his studies in management and enterprise development. Additionally, his leadership in large-scale funded projects with organizations such as PetroChina, China Shenhua Energy, and the National Railway Administration underscores the value placed on his expertise by government and industry alike. His projects have consistently addressed pressing national needs, from sustainable transportation strategies to corporate innovation and high-quality growth frameworks.

Publication Top Notes

Title: The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce
Author(s): Jiwang Yin; Xiaodong Qiu; Ya Wang
Journal: Journal of Theoretical and Applied Electronic Commerce Research

Title: Drivers and Obstacles of Consumers’ Continuous Participation Intention in Online Pre-Sales: Social Exchange Theory Perspective
Author(s): Ya Wang; Xiaodong Qiu; Jiwang Yin; Liya Wang; Rong Cong
Journal: Behavioral Sciences

Title: Social Commerce Purchase Intention: The Salience of Consumer-To-Consumer Interactions
Author(s): Johakim Katekele John; Xiaodong Qiu; Jerum William Kilumile; George Mofulu
Journal: Journal of Consumer Behaviour

Title: Influence Mechanism Research on the AI Marketing Technology of Online Shopping Platform on Consumers’ Purchase Intention
Author(s): Jiwang Yin; Xiaodong Qiu
Journal: Proceedings of the 6th Annual International Conference on Social Science and Contemporary Humanity Development

Title: Harnessing Swift Guanxi in SMEs: Exploring Trust and Purchase Intention on Social Commerce Platforms
Author(s): Johakim Katekele John; Xiaodong Qiu; Jerum William Kilumile
Journal: Journal of Theoretical and Applied Electronic Commerce Research

Conclusion

Professor Qiu Xiaodong’s academic and professional journey illustrates a dynamic blend of research excellence, educational leadership, and applied contributions to both national and global industries. His consistent engagement with multidisciplinary projects highlights his ability to address complex challenges in transportation, energy, and digital commerce. By integrating theoretical insights with practical applications, he has advanced the discourse on consumer behavior, marketing strategy, and enterprise management in the age of digital transformation. His strong publication record, international collaborations, and recognition through awards demonstrate his role as an influential researcher and educator. With a career dedicated to innovation, collaboration, and the advancement of management science, Professor Qiu stands out as a deserving nominee for prestigious research awards, reflecting both his past achievements and future potential.

Assoc. Prof. Dr. Le Yang | Neuromorphic Engineering | Best Researcher Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Le Yang | Neuromorphic Engineering | Best Researcher Award

Teacher at Wuhan Institute of Technology, China

Dr. Le Yang is an accomplished associate professor whose research expertise spans memristor neuromorphic systems, embedded systems, and advanced circuit design. With over thirty academic papers, more than ten patents, and a record of guiding students to national and provincial competition success, Dr. Yang has established a reputation for impactful research and educational leadership. His contributions integrate innovation, mentorship, and practical application, making him a distinguished candidate for recognition in advanced research and technological development.

Professional Profile

Scopus Profile | ORCID

Education

Dr. Yang pursued a rigorous academic path that laid the foundation for his multidisciplinary expertise. Through formal training in electrical and electronic engineering, he developed deep technical skills that later expanded into neuromorphic computation and system design. His academic development included a blend of theory, experimentation, and application, ensuring that his expertise was not confined to traditional learning but extended toward innovation-driven research. This strong educational background has been critical in enabling his advancements in memristor-based systems, circuit architectures, and real-world applications in computational intelligence.

Experience

Over the course of his academic career, Dr. Yang has cultivated experience as both a researcher and educator. Serving as an associate professor, he has balanced teaching with impactful scholarly contributions. His guidance of students in highly competitive arenas such as the National Undergraduate Electronic Design Contest, Blue Bridge Cup IT Contest, and Embedded System Design Contest reflects his ability to mentor and inspire innovation. Under his leadership, students have achieved three National Second Prizes, two National Third Prizes, and numerous provincial awards, showcasing his ability to bridge theoretical knowledge with practical skill. Furthermore, his active participation in national experimental teaching case design competitions demonstrates his commitment to integrating cutting-edge methods into education, with his teams achieving national-level recognition.

Research Focus

Dr. Yang’s research primarily centers on the design and application of memristor-based neuromorphic systems. His work explores how memristors can emulate biological neural functions, advancing computational efficiency and functionality for artificial intelligence systems. He has contributed significantly to memristor crossbar circuit design, backpropagation neural networks, and associative memory models that replicate human-like learning behaviors. His investigations also include embedded system applications and advanced circuit design, which are crucial for both hardware innovation and neuromorphic computing development. With a focus on bridging theory with practice, his research enhances the potential of emerging technologies to address real-world challenges in artificial intelligence and intelligent system integration.

Awards & Honors

Dr. Yang’s academic excellence has been recognized through prestigious awards and competitive grants. In 2021, he was awarded the National Natural Science Foundation Youth Program Project, reflecting the national acknowledgment of his innovative contributions to memristor and neuromorphic system research. Additionally, his involvement in student mentoring has led to collective recognition, including multiple prizes at national contests and experimental teaching competitions. These honors highlight both his personal research excellence and his dedication to fostering the next generation of engineers and researchers. His recognition at multiple levels demonstrates a career built on both groundbreaking research and impactful educational mentorship.

Publication Top Notes

Title: Memristor-based circuit design of biological behavior chain
Author: Yang L, Cai R, Cheng M, Ding Z, Li S, Zeng Z
Journal: IEEE Transactions on Circuits and Systems I: Regular Papers

Title: Memristor-based circuit design of BiLSTM network
Author: Yang L, Lei J, Cheng M, Ding Z, Li S, Zeng Z
Journal: Neural Networks

Title: Memristive crossbar-based circuit design of back-propagation neural network with synchronous memristance adjustment
Author: Yang L, Ding Z, Xu Y, Zeng Z
Journal: Complex & Intelligent Systems

Title: Circuit design of in-situ training memristive backpropagation neural network
Author: Yang L, Cheng M, Su T
Journal: AEU - International Journal of Electronics and Communications

Title: Memristor-based neural network circuit of full-function Pavlov associative memory with unconditioned response mechanisms
Author: Ding Z, Chen Z, Li S, Li Z, Yang L (corresponding author)
Journal: IEEE Transactions on Circuits and Systems I: Regular Papers

Title: A generalization and differentiation circuit implementation based on neural mechanisms
Author: Ding Z, Chen Z, Li S, Su T, Yang L (corresponding author)
Journal: IEEE Transactions on Nanotechnology

Title: Memristor crossbar-based Pavlov associative memory network for dynamic information correlation
Author: Yang L, Ding Z, Zeng Z
Journal: AEU - International Journal of Electronics and Communications

Title: An improved memristive current mirror circuit for continuous adjustable current output
Author: Cheng M, Yang L (corresponding author), Ding Z, Li S, Lei J
Journal: AEU - International Journal of Electronics and Communications

Title: Memristor-based circuit design of continuous adjustable direct-current voltage source
Author: Ding Z, Su T, Li S, Yang L (corresponding author)
Journal: International Journal of Circuit Theory and Applications

Title: An associative-memory-based reconfigurable memristive neuromorphic system with synchronous weight training
Author: Yang L, Zeng Z, Huang Y
Journal: IEEE Transactions on Cognitive and Developmental Systems

Conclusion

Dr. Le Yang’s distinguished academic journey reflects a combination of research innovation, educational leadership, and technological advancement. His work in memristor neuromorphic systems contributes to shaping the future of artificial intelligence hardware and computational intelligence. By successfully securing national-level funding, producing high-impact publications, authoring patents, and mentoring students to achieve excellence, he demonstrates a multifaceted commitment to advancing science and education. His contributions make him a strong candidate for recognition in research excellence, embodying the qualities of innovation, dedication, and global impact