Jia Jin-Decision-making and Problem-solving-Best Researcher Award

Prof .Jia Jin -Shanghai International Studies University-Decision-making and Problem-solving-Best Researcher Award 

 Jia Jin-Decision-making and Problem-solving

Professional Profile 

Early Academic Pursuits

Dr. Jin Jia embarked on her academic journey at Hangzhou Dianzi University, where she earned a Bachelor's degree in Management from the School of Management. She continued her pursuit of knowledge at Zhejiang University, School of Management, obtaining a Ph.D. degree. Notably, she broadened her academic horizons as an exchange student at the University of Bonn, Germany, from December 2012 to June 2013.

Professional Endeavors

Dr. Jin Jia has held various academic positions, showcasing her commitment to education and research. Her journey includes roles such as Lecturer at Ningbo University, Business School, Associate Professor at Ningbo University, and later at Shanghai International Studies University. Since January 2022, she has held the prestigious position of Professor at the School of Business and Management, Shanghai International Studies University.

Contributions and Research Focus

Dr. Jin Jia has made significant contributions to the field of behavioral and cognitive neuroscience, with a focus on consumer behavior, decision-making processes, and the neural mechanisms underlying these phenomena. Her research, published in renowned SSCI/SCI-indexed journals, explores diverse topics such as online reviews, face processing in social anxiety disorder, and the impact of payment methods on online purchase decisions.

Accolades and Recognition

Her outstanding contributions have not gone unnoticed, as evidenced by numerous awards and recognitions. Dr. Jin Jia was honored with the Second Prize of Science and Technology Progress of Zhejiang Province, a testament to the impact of her research.

Impact and Influence

Dr. Jin Jia's work extends beyond individual research papers. She has taken on leadership roles in academic organizations, serving as the Secretary General of the Neuroeconomic Management Committee in the Chinese Society of Technical Economics. Additionally, her editorial role as a Guest Editor for the international SSCI journal Frontiers in Psychology showcases her influence in shaping academic discourse.

Legacy and Future Contributions

Dr. Jin Jia's legacy is marked by a rich tapestry of academic achievements, research contributions, and leadership roles. Her work has not only expanded our understanding of consumer behavior but has also paved the way for future research in the intersection of neuroscience and management. As she continues her journey, it is expected that her innovative research will leave a lasting imprint on the academic landscape, inspiring future generations of scholars.

Notable Publication

 

 

Raghubir Singh-Best Researcher Award -Decision-making and Problem-solving

Congratulations, Raghubir Singh- Best Researcher Award -Decision-making and Problem-solving-Award Winner 2023 🏆

Dr.Aghubir Singh-Decision-making and Problem-solving

Congratulations to Dr. Raghubir Singh! 🎉 We are thrilled to announce that Dr. Raghubir Singh has been honored with the prestigious Best Researcher Award in the field of Decision-making and Problem-solving. This recognition is a testament to Dr. Singh's outstanding contributions, unwavering dedication, and innovative research in these critical domains.

Professional Profile 

Orcid

Early Academic Pursuits:

Dr. Raghubir Singh embarked on his academic journey at the University of Bristol, UK, where he pursued a Ph.D. in Computer Science from 2017 to 2021. Under the guidance of esteemed advisors, Dr. George Oikonomou, Dr. Simon Armour from the University of Bristol, and Prof. Mahesh Sooriyabandara from Toshiba Research and Innovation Lab, Bristol, UK, he laid the foundation for his research career.

Professional Endeavors:

Following his academic achievements, Dr. Singh joined the School of Computer Science & Engineering at the University of Westminster as a Research Associate in Cloud Computing from January to August 2021. During this period, he actively contributed to a project funded by the European Commission's Horizon 2020 initiative, titled "Digital twins bringing agility and innovation to manufacturing SMEs" (DIGITbrain). This experience allowed him to collaborate with a dynamic research group led by Prof. Tamas Kiss and resulted in the publication of two research conference papers in IEEE World AI IoT Congress 2022 and IEEE IEMCON 2022.

Contributions and Research Focus:

Dr. Singh's research profile revolves around understanding computation structures and translating this understanding into the development of machine learning models for distributed systems. His research interests span Applied Machine Learning, Artificial Intelligence, and Ubiquitous Computing. Notably, he has made significant contributions to the field, evident in his peer-reviewed journal articles and conference papers. His work on topics like Edge AI and Next Generation Edge Computing showcases a commitment to advancing knowledge in these domains.

Accolades and Recognition:

Throughout his academic and professional journey, Dr. Singh has received accolades and recognition for his impactful contributions. His paper titled "HSAM: Hybrid Sentiment Analysis Model for COVID-10 Contact Tracing Application" earned him the Best Paper Presentation Award at the IEEE World AI IoT Congress in 2023. Additionally, his dedication to research excellence is reflected in his involvement as a reviewer for European Union R&D projects and various journals and conferences.

Impact and Influence:

Dr. Raghubir Singh's research has left a notable impact on the academic community, evident in the quality of his peer-reviewed publications and his role as a technical committee member for prestigious conferences. His expertise in areas such as Computational Offloading in Multi-Access Edge Computing has contributed to the ongoing evolution of these fields.

Legacy and Future Contributions:

As an academic leader, Dr. Singh has demonstrated exceptional skills in teaching, mentoring students, and fostering international collaborations. His role as a lecturer and program leader at various institutions, including the University of Bath, Wrexham Glyndwr University, and the University of Dundee, highlights his commitment to shaping the next generation of computer scientists. Dr. Singh's future contributions are anticipated to further advance the understanding of machine learning and artificial intelligence, leaving a lasting legacy in the academic and research communities.