Jingxian Liu | Computer Vision | Best Researcher Award

Posted on by Academic achievements

Mr. Jingxian Liu | Computer Vision | Best Researcher Award

Associate Research Fellow‌ at Guangzhou Maritime University, China.

Mr. Jingxian Liu is an Associate Research Fellow at Guangzhou Maritime University. Born in November 1984 in Guangzhou, China, he specializes in remote sensing and communication systems. His research focuses on digital twins, intelligent state prediction, and maneuvering-target tracking using advanced computational methods. Liu has authored numerous high-impact publications and has led several national and regional research projects, contributing significantly to the field of geoscience and remote sensing.

Profile Verification

Scopus 

Education

Jingxian Liu pursued his doctoral studies in Communication and Information Systems at Beihang University (2013-2018) after completing a Master’s degree in Geodetection and Information Technology from China University of Geoscience (Beijing, 2007-2010). He holds a Bachelor’s degree in Electronic Information Engineering from China University of Geoscience (Beijing, 2003-2007). His educational background has equipped him with a solid foundation in engineering and remote sensing technologies.

Experience

Jingxian Liu currently serves as an Associate Research Fellow at Guangzhou Maritime University since March 2024. Prior to this, he was an Associate Research Fellow at Guangxi University of Science and Technology from December 2018 to December 2023. During this period, he contributed significantly to research projects focusing on remote sensing and digital twin technologies. Earlier in his career, Liu worked as an Engineer at the China Shipbuilding Industry Corporation’s 760th Research Institute from July 2010 to June 2013. His role there involved conducting research and development activities aimed at advancing engineering technologies in shipbuilding and marine industries.

Research Interests

Jingxian Liu’s research primarily revolves around remote sensing image processing, digital twins, intelligent state prediction, and maneuvering-target tracking. His innovations include fast arbitrary-oriented object detection for remote sensing images, differential correction based shadow removal methods, and deep learning algorithms for maneuvering-target tracking. His work significantly advances understanding in these areas, applying cutting-edge computational techniques to solve complex challenges.

Publications

Fast arbitrary-oriented object detection for remote sensing images

Authors: Liu, J.; Tang, J.; Yang, F.; Zhao, Y.

Citations: 0

Year: 2024

Task Demands-Oriented Collaborative Offloading and Deployment Strategy in Software-Defined UAV-Assisted Edge Networks

Authors: Yan, J.; Wang, W.; Liu, J.; Yuan, H.; Zhu, Y.

Citations: 0

Year: 2024

HDDet: A More Common Heading Direction Detector for Remote Sensing and Arbitrary Viewing Angle Images

Authors: Ding, S.; Liu, J.; Yang, F.; Xu, M.

Citations: 1

Year: 2024

Digital Twins Based Intelligent State Prediction Method for Maneuvering-Target Tracking

Authors: Liu, J.; Yan, J.; Wan, D.; Al-Dulaimi, A.; Quan, Z.

Citations: 5

Year: 2023

Locating the propagation source in complex networks with observers-based similarity measures and direction-induced search

Authors: Yang, F.; Li, C.; Peng, Y.; Wen, J.; Yang, S.

Citations: 7

Year: 2023

Diffusion characteristics classification framework for identification of diffusion source in complex networks

Authors: Yang, F.; Liu, J.; Zhang, R.; Yao, Y.

Citations: 1

Year: 2023

A differential correction based shadow removal method for real-time monitoring

Authors: Liu, S.; Chen, M.; Li, Z.; Liu, J.; He, M.

Citations: 0

Year: 2023

A cross-and-dot-product neural network based filtering for maneuvering-target tracking

Authors: Liu, J.; Yang, S.; Yang, F.

Citations: 6

Year: 2022

Micro-Knowledge Embedding for Zero-shot Classification

Authors: Li, H.; Wang, F.; Liu, J.; Zhang, T.; Yang, S.

Citations: 3

Year: 2022

An identification strategy for unknown attack through the joint learning of space–time features

Authors: Wang, H.; Mumtaz, S.; Li, H.; Liu, J.; Yang, F.

Citations: 6

Year: 2021

 

Conclusion

Jingxian Liu is a highly deserving candidate for the Research for Best Researcher Award due to his significant contributions to remote sensing, digital twins, and maneuvering-target tracking. His innovative research methodologies, high-impact publications, and leadership in large-scale research projects position him as a leader in his field. Continued efforts to enhance industry collaborations and community engagement will further solidify his status as a key figure in advancing technological solutions for environmental and geospatial challenges.

 

Rajesh Pashikanti – Signal processing – Best Researcher Award

Posted on by Academic achievements

Rajesh Pashikanti - Signal processing - Best Researcher Award

COEP TECH University - India

Professional Profiles

Early Academic Pursuits

Rajesh Pashikanti's academic journey commenced with a strong foundation in electronics and instrumentation. He pursued his Bachelor's degree at Vaagdevi College of Engineering, followed by a Master's degree in Embedded Systems from Ramappa Engineering College. His educational background equipped him with a comprehensive understanding of technology and laid the groundwork for his future endeavors in signal processing.

Professional Endeavors

Following his academic pursuits, Rajesh embarked on a fulfilling career in education, accumulating a decade of teaching experience at MBES College of Engineering in Maharashtra. During his tenure, he honed his skills as an educator, imparting knowledge and nurturing the next generation of engineers. Additionally, Rajesh ventured into the realm of research, joining COEP Technological University in Pune, Maharashtra, where he has been engaged in signal processing research since 2021.

Contributions and Research Focus On Signal processing

Rajesh's research focus lies in the domain of signal processing, a field essential for various technological applications, including telecommunications, medical imaging, and audio processing. Through his doctoral studies at COEP Technological University, he delves into the intricacies of signal analysis, processing algorithms, and their real-world implementations. His contributions aim to advance the understanding and application of signal processing techniques, addressing contemporary challenges and driving innovation in the field.

Accolades and Recognition In Signal processing

Rajesh Pashikanti's dedication to academia and research has garnered recognition and accolades from peers and institutions alike. His commitment to excellence in teaching earned him admiration from students and colleagues during his tenure at MBES College of Engineering. Additionally, his foray into research at COEP Technological University showcases his ambition and passion for advancing knowledge in signal processing.

Impact and Influence

Rajesh's influence extends beyond the classroom and laboratory. As a teacher, he has shaped the academic journeys of countless students, instilling in them a passion for technology and a thirst for knowledge. His research endeavors hold the potential to make significant contributions to the field of signal processing, potentially impacting industries ranging from telecommunications to healthcare. Through his work, Rajesh aims to leave a lasting imprint on the academic and technological landscape.

Legacy and Future Contributions For Signal processing

As Rajesh continues his doctoral research and academic pursuits, his legacy is one of dedication, perseverance, and innovation. His efforts in signal processing research have the potential to shape the future of technology, improving communication systems, medical diagnostics, and more. With a steadfast commitment to excellence and a vision for the future, Rajesh Pashikanti is poised to make enduring contributions to academia and industry alike.

Rajesh Pashikanti's journey from student to educator to researcher exemplifies the transformative power of education and the pursuit of knowledge. Through his academic and professional endeavors, he embodies the spirit of inquiry and innovation, leaving an indelible mark on the field of signal processing and inspiring future generations of engineers and researchers.

Notable Publications

An adaptive Marine Predator Optimization Algorithm (MPOA) integrated Gated Recurrent Neural Network (GRNN) classifier model for arrhythmia detection 2024

Adaptive Predictive Control-Based Noise Cancellation with Deep Learning for Arrhythmia Classification from ECG Signals 2022

Cardiac Arrhythmia Classification using Deep Convolutional Neural Network and Fuzzy Inference System 2022

K. Tamil Thendral – Nanochemistry – Best Researcher Award

Posted on by Academic achievements

K. Tamil Thendral - Nanochemistry - Best Researcher Award

Nallamuthu Gounder Mahalingam College - India

 

Professional Profiles

Early Academic Pursuits

K. Tamil Thendral embarked on her academic journey with a profound passion for chemistry, which was evident from her early academic pursuits. She demonstrated exceptional aptitude and dedication throughout her educational endeavors, laying a solid foundation for her future career in research.

Thendral's academic journey commenced with her schooling in Palani, Tamil Nadu, where she exhibited a keen interest in science subjects, particularly chemistry. Her stellar performance and enthusiasm for learning propelled her to pursue higher education in the field of chemistry.

Upon completing her secondary education with flying colors, Thendral secured admission to Nallamuthu Gounder Mahalingam College in Pollachi, Tamil Nadu, where she pursued a Bachelor's degree in Chemistry. During her undergraduate studies, she distinguished herself as a diligent and industrious student, actively participating in various academic and extracurricular activities. Her commitment to excellence earned her several accolades and scholarships, recognizing her outstanding academic achievements.

Professional Endeavors

Driven by her fervor for scientific inquiry and discovery, Thendral embarked on her professional journey as a Research Scholar in the Department of Chemistry at Nallamuthu Gounder Mahalingam College, under the mentorship of Dr. M. Amutha, an esteemed Assistant Professor in the department.

Under the guidance of her mentor, Thendral delved into the fascinating realm of nanotechnology, focusing on the development of spine-type bimetallic oxide and polymer-coated bimetal oxide nanocomposites. Her research endeavors encompassed exploring the synthesis, characterization, and application of these innovative materials in diverse fields, ranging from biological to environmental contexts.

Contributions and Research Focus On Nanochemistry

Thendral's research primarily revolves around the synthesis and characterization of novel nanocomposites and their multifaceted applications. Her pioneering work in developing spine-type bimetallic oxide and polymer-coated bimetal oxide nanocomposites has garnered significant attention within the scientific community.

Through meticulous experimentation and analysis, Thendral has contributed valuable insights into the structural, morphological, and functional properties of these nanomaterials. Her research findings hold immense promise for addressing pressing challenges in areas such as healthcare, environmental remediation, and catalysis.

Accolades and Recognition

Thendral's exemplary contributions to the field of nanotechnology have earned her widespread recognition and acclaim. She has received numerous awards, honors, and research grants in recognition of her outstanding achievements and scholarly contributions.

Her research presentations at national and international conferences have been well-received, further solidifying her reputation as a rising star in the realm of nanoscience. Thendral's scholarly publications in reputable peer-reviewed journals have also garnered appreciation for their scientific rigor and innovation.

Impact and Influence

Thendral's research endeavors have had a profound impact on both academia and industry. Her innovative approach to nanocomposite synthesis and her insights into their applications have the potential to revolutionize various sectors, including healthcare, energy, and environmental sustainability.

Moreover, Thendral's mentorship and collaborative efforts have inspired and influenced aspiring researchers, fostering a culture of scientific curiosity and excellence. Her interdisciplinary approach and commitment to knowledge dissemination have contributed to the advancement of scientific understanding and technological innovation.

Legacy and Future Contributions

As Thendral continues her journey as a dedicated researcher, her legacy of scientific inquiry and innovation is poised to endure. She remains steadfast in her commitment to pushing the boundaries of knowledge and leveraging nanotechnology for the betterment of society.

In the years to come, Thendral envisions expanding her research horizons, exploring new avenues for the application of nanocomposites, and tackling emerging challenges in fields such as sustainable development and personalized medicine. Her unwavering dedication to scientific inquiry and her passion for making a positive impact serve as guiding principles for her future contributions to the scientific community and society at large.

Notable Publications

Versatile biopolymer–functionalized copper cobalt oxide nanocomposite (Ch/CuCo2O4): Synthesis and applications in antibacterial, anticancer, and photocatalysis 2024

Design and development of copper cobaltite (CuCo2O4) nanoparticle for antibacterial anticancer and photocatalytic activity 2023