Mr. Vivek Dwivedi | Machine learning | Research Excellence Award

Mr. Vivek Dwivedi | Machine learning | Research Excellence Award

Slovak University of Technology in Bratislava | Slovakia

Mr. Vivek Dwivedi is an emerging researcher specializing in computer vision, adaptive camera systems, robotics, and intelligent imaging technologies, with a strong focus on real-time object detection and virtual teleportation systems. His work integrates machine learning, OpenCV, and embedded systems to develop computationally efficient solutions for dynamic visual environments. He has also contributed to research in mechatronics, haptic systems, and origami-inspired robotics. His academic output demonstrates growing impact, with Scopus indexing 12 documents, 25 citations, and an h-index of 3, while Google Scholar reports 37 citations and an h-index of 4, reflecting consistent scholarly advancement.

Citation Metrics ( Scopus )

40

30

20

10

0

Citations 25

Documents
12

h-index
3

                    ■ Citations          i10-index            h-index


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Dr. Xianchen Liu | Machine Learning | Best Researcher Award

Dr. Xianchen Liu | Machine Learning | Best Researcher Award

Researcher | Florida International University | United States

Dr. Xianchen Liu is a computer scientist specializing in machine learning, natural language processing, recommender systems, predictive analytics, and data-driven optimization. His research integrates deep learning architectures such as BERT, LSTM, attention mechanisms, and swarm intelligence to address challenges in sentiment analysis, financial risk prediction, dynamic pricing, and energy systems modeling. He has contributed to peer-reviewed journals including Systems and the Journal of Software Engineering and Applications, and presented work at international conferences. According to Scopus, he has 2 indexed documents with 3 citations and an h-index of 1; Google Scholar reports 17 citations with an h-index of 2.

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Mr. Zeeshan Rasheed | Machine Learning | Research Excellence Award

Mr. Zeeshan Rasheed | Machine Learning | Research Excellence Award

Lecturer Computer Science | Mir Chakar Khan Rind University Sibi Balochistan | Pakistan

Mr. Zeeshan Rasheed is a computer science researcher whose work spans machine learning, data intelligence, wireless networks, and AI-driven decision systems. His research focuses on optimizing network cooperation, developing neural models for sustainable wireless resource management, improving early disease prediction, and analyzing AI’s role in media and social systems. He has contributed to studies on sentiment analysis, intelligent network strategies, pandemic modelling, and crowdsourced data reliability. His scholarly output reflects a continuous commitment to advancing practical and socially relevant AI applications, supported by publications across multidisciplinary journals. His work also demonstrates growing academic impact with ongoing contributions to emerging technological challenges.

Citation Metrics (Google Scholar)

20

15

10

5

0

Citations
17

Documents
17

h-index
3

Citations
Documents
h-index


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Featured Publications