Samyak Singh | Agricultural | Research Excellence Award

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Dr. Samyak Singh | Agricultural | Research Excellence Award

Guru Ghasidas Vishwavidyalaya | India

Dr. Samyak Singh is a Forestry and Environmental Scientist specializing in biodiversity assessment, ecosystem services, carbon sequestration, and ecological restoration. He holds a PhD in Forestry and Environmental Sciences from Guru Ghasidas Vishwavidyalaya and advanced degrees in Forestry from Hemvati Nandan Bahuguna Garhwal University. His experience spans doctoral research, ecological assessment and restoration planning for mining projects, and monitoring and evaluation of forest restoration programs under CAMPA. His research focuses on forest diversity, soil and microbial carbon dynamics, land-use impacts, and human–ecosystem interactions. Through peer-reviewed publications and applied fieldwork, he contributes to evidence-based conservation, sustainable forest management, and climate-resilient landscape planning.

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Huiming Wang | Robotics | Research Excellence Award

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Assoc. Prof. Dr. Huiming Wang | Robotics | Research Excellence Award

Chongqing University of Posts and Telecommunications | China

Assoc. Prof. Dr. Huiming Wang is an established researcher in advanced control systems and intelligent electromechanical systems, with a strong focus on disturbance rejection control, sliding mode control, and robust finite-time control theory. His research outputs span robotics, servo systems, power electronics, rehabilitation robots, and compliant actuators. According to Google Scholar, he has published over 33 peer-reviewed journal and conference papers, accumulating approximately 1016 citations with an h-index of 14. His work is widely cited in leading IEEE and international control journals, reflecting sustained impact in nonlinear control theory and engineering applications.

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Olzhas Akylbekov | Data Science and Analytics | Research Excellence Award

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Mr. Olzhas Akylbekov | Data Science and Analytics | Research Excellence Award

Satbayev University | Kazakhstan

Mr. Olzhas Akylbekov is a researcher in data science and machine learning with a strong focus on applied artificial intelligence for spatial analysis and intelligent systems. His scholarly work emphasizes deep learning architectures, hybrid neural networks, and spatial data modeling for real-world decision support systems. According to Scopus, he has 2 peer-reviewed publications, with a total of 20 citations and an h-index of 2. His research contributions are published in internationally recognized journals indexed in Web of Science and Scopus, reflecting impact in areas such as urban spatial analytics and AI-driven content analysis.

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Featured Publications


Hybrid CNN-LSTM Network for Cyberbullying Detection on Social Networks using Textual Contents

– International Journal of Advanced Computer Science and Applications(IJACSA), 2023 · Cited by 19