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

Ms. Yingjuan Tang, Sensors and Biosensors, Best Researcher Award

Ms. Yingjuan Tang, Sensors and Biosensors, Best Researcher Award

Ms. Yingjuan Tang, Beijing Institute of Technology, China

Professional Profiles

Scopus

Orcid 

Google Scholar

🌟 Summary

Ms. Yingjuan Tang is a dedicated Ph.D. candidate at Beijing Institute of Technology, specializing in environment perception and trajectory prediction for autonomous vehicles. With a strong background in computer vision and deep learning, she has contributed extensively to the field through publications in prestigious journals. Yingjuan holds a Master’s degree in Artificial Intelligence from King’s College London and a Bachelor’s degree in Computer Science and Technology from Zhengzhou University.

🎓 Education

Doctorate in Environment Perception and Trajectory Prediction
Beijing Institute of Technology
Master’s in Artificial Intelligence
King’s College London
Bachelor’s in Computer Science and Technology
Zhengzhou University

💼Professional Experience

Ph.D. Researcher
Beijing Institute of Technology
Focused on environment perception and trajectory prediction for self-driving commercial vehicles. Published multiple papers in leading journals on 3D object detection and trajectory prediction.

🔬 Research Interests

Computer Vision: Exploring advanced techniques for image recognition and processing.

Deep Learning: Applying neural networks to enhance autonomous vehicle perception and decision-making.

Autonomous Vehicles: Developing models for trajectory prediction and environment sensing.

🏆 Honors & Awards

Outstanding Graduate (Henan Province)
National Motivational Scholarship (2016-2017 & 2017-2018)
Second Prize in ACM Program-Designing Competition

Publications Top Noted📚

Towards efficient multi-modal 3D object detection: Homogeneous sparse fuse network

Authors: Tang, Y., He, H., Wang, Y., Wu, J.

Journal: Expert Systems with Applications

Year: 2024

Using a Diffusion Model for Pedestrian Trajectory Prediction in Semi-Open Autonomous Driving Environments

Authors: Tang, Y., He, H., Wang, Y., Wu, Y.

Journal: IEEE Sensors Journal

Year: 2024

Hierarchical vector transformer vehicle trajectories prediction with diffusion convolutional neural networks

Authors: Tang, Y., He, H., Wang, Y.

Journal: Neurocomputing

Year: 2024

Remote Sensing Building Change Detection With Global High-Frequency Cues Guidance and Result-Aware Alignment

Authors: Mao, Z., Luo, Z., Tang, Y.

Journal: IEEE Geoscience and Remote Sensing Letters

Year: 2024

Multi-modality 3D object detection in autonomous driving: A review

Authors: Tang, Y., He, H., Wang, Y., Mao, Z., Wang, H.

Journal: Neurocomputing

Year: 2023

Cooperative energy management and eco-driving of plug-in hybrid electric vehicle via multi-agent reinforcement learning

Authors: Wang, Y., Wu, Y., Tang, Y., Li, Q., He, H.

Journal: Applied Energy

Year: 2023