Dr. M.T. Ramesan | Sensor | Innovation Award

Dr. M.T. Ramesan | Sensor | Innovation Award

University of Calicut | India

Dr. M. T. Ramesan is a distinguished polymer chemist recognized for his pioneering contributions to the field of polymer chemistry and materials science. He earned his Ph.D. in Polymer Chemistry from the Rubber Research Institute of India, Mahatma Gandhi University, Kerala, where his thesis focused on “Dichlorocarbene Modified Styrene Butadiene Rubber and Its Application in Rubber–Rubber Blends.” He also holds an M.Sc. in Organic Chemistry from the same university. With extensive postdoctoral research experience at Chonbuk National University, South Korea, Dr. Ramesan has developed strong expertise in polymer modification, nanocomposites, conductive polymers, and sustainable material design. His research interests span polymer blends, nanostructured materials, green composites, and energy storage applications. A prolific reviewer and editor, he has evaluated over 250 international journal manuscripts across reputed publishers and served as an expert reviewer for the Alexander von Humboldt Foundation Fellowships. His scientific excellence has been recognized globally, including multiple Outstanding Reviewer Awards from Elsevier and his consistent inclusion in Stanford University’s list of the World’s Top 2% Scientists in Polymer Chemistry (2020–2025). Currently, he continues advancing innovative research and mentoring scholars, contributing significantly to the global progress of polymer and materials science.

Profiles : Scopus | Orcid

Featured Publications

Sankar, S., & Ramesan, M.T. (2026). “Manganese (III) oxide-infused poly(thiophene-co-pyrrole) nanocomposites for optical, dielectric, and photocatalytic applications.” Materials Research Bulletin

Meera, K., & Ramesan, M.T. (2025). “Facile green fabrication of boehmite-infused PVA nanocomposites with superior mechanical, thermal and electrical performance.” Journal of Physics and Chemistry of Solids

Sankar, S., Krishnaraj, T.P., Sunojkumar, P., & Ramesan, M.T. (2025). “Chitosan-functionalized poly(thiophene-co-pyrrole) nanocomposites: promising materials for optoelectronics and antibacterial surfaces.” Journal of Molecular Liquids

Gopika, R., & Ramesan, M.T. (2025). “Tailored structural, optical and electrical properties of CuO-reinforced polythiophene nanocomposites for energy and sensor applications.” Polymer

Gopika, R., & Ramesan, M.T. (2025). “Tunable optical, electrical, and gas-sensing properties of poly(thiophene-co-indole)/CuO nanocomposites.” Surfaces and Interfaces

Muhammed, H., Faheema, S., Thayyil, M.S., Udayan, G., & Ramesan, M.T. (2025). “Multifunctional chitosan/chloro-aspirin composites for energy storage and biomedical applications.” Journal of the Indian Chemical Society

Anju, P., Muhammed, H., Arun, K., Bahuleyan, B.K., & Ramesan, M.T. (2025). “Synthesis of nanocurcumin conjugated titanium dioxide bio-nanocomposites for enhanced optical, electrical, and antibacterial applications.” Physica B: Condensed Matter

Assoc Prof Dr. Yongwei Li | Sensors and Biosensors | Best Researcher Award

Assoc Prof Dr. Yongwei Li | Sensors and Biosensors | Best Researcher Award

Assoc Prof Dr. Yongwei Li | Taiyuan Institute of Technology | China

Professional Profiles

Scopus

🎓 Academic Background

Dr. Yongwei Li, an accomplished scholar and dedicated educator, earned his Doctor of Engineering (Ph.D.) in Instrumentation Science and Technology from the prestigious North University of China in December 2021. Under the expert guidance of Prof. Xiong Jijun, Dr. Li honed his expertise in advanced engineering disciplines.

🔬 Research Focus

Dr. Li’s research interests center on cutting-edge technological advancements, with a focus on MEMS Sensor Technology, Detection Technology and Automation Equipment, and the Integration of Measurement and Control Systems. His innovative work contributes significantly to the evolving landscape of engineering and automation.

💼 Professional Experience

Dr. Yongwei Li has cultivated a robust professional background, showcasing a steady progression in his academic and administrative career at the Taiyuan Institute of Technology, Department of Automation.

He began his journey as an Assistant Lecturer in July 2015, laying a strong foundation in teaching and technical specialization. During this period, he gained valuable experience in delivering quality education and supporting departmental activities. In January 2019, he advanced to the position of Lecturer, where he took on greater responsibilities, including delivering advanced coursework and contributing to departmental projects, thereby enhancing his role as an educator and researcher.

In December 2022, Dr. Li was promoted to the rank of Associate Professor, marking a significant milestone in his career. In this role, he has spearheaded academic initiatives, mentored aspiring engineers, and contributed meaningfully to the field of automation and detection technology.

In September 2023, Dr. Li assumed the position of Deputy Director, taking on a key management role within the department. As Deputy Director, he oversees departmental operations, drives strategic planning, and ensures the seamless integration of teaching, research, and administration, further solidifying his contributions to academic excellence.

🧪 Research Contributions

Dr. Li’s dedication to technological innovation and automation systems has earned him recognition as a leader in his field. His work bridges the gap between measurement technology and practical applications, driving advancements in engineering systems.

Publications Top Noted📄

Analysis of broadband linear polarization-converting meta-materials and their sensing and detection functions

Authors: Li, Y., Guo, J., Shi, J., Chen, L., Qu, Z.

Journal: Physica Scripta

Year: 2024

Simultaneous localization and mapping (SLAM)-based robot localization and navigation algorithm

Authors: Qiao, J., Guo, J., Li, Y.

Journal: Applied Water Science

Year: 2024

VISION-BASED ROBOT INDOOR-POSITIONING AND NAVIGATION METHOD RESEARCH

Authors: Qiao, J., Guo, J., Li, Y.

Journal: International Journal of Robotics and Automation

Year: 2024

Convolutional Concatenation Fusion Imaging Method for ERT/UTT Dual-Modality Tomography

Authors: Li, F., Liu, Y., Xu, L., Qiao, Z., Li, Y.

Journal: IEEE Access

Year: 2024

Satellite Communication Resource Scheduling Using a Dynamic Weight-Based Soft Actor Critic Reinforcement Learning

Authors: Qiao, Z., Yang, W., Li, F., Li, Y., Zhang, Y.

Journal: IEEE Access

Year: 2024