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.

 

Radheshyam Singh – Engineering – Excellence in Innovation

Posted on by Academic achievements

Radheshyam Singh - Engineering - Excellence in Innovation

Technical University of Denmark - Denmark

Professional Profiles

Early Academic Pursuits

Radheshyam Singh's academic journey commenced with a Bachelor's degree in Electronics & Telecommunication Engineering from Nagpur University, India. He pursued further studies at the Technical University of Denmark, completing his Master's in Telecommunication Engineering with an exchange program at Riga Technical University, Latvia. Currently, he is pursuing a Ph.D. in Reliable and Secure M2M/IoT Communication Engineering at the Technical University of Denmark.

Professional Endeavors

Singh's professional endeavors span various domains, including research, project management, and engineering roles. He has served as a Research Intern at FORCE Technology, delving into benchmarking 5G and Cellular IoT technologies. Additionally, he has contributed as a PhD Researcher at the Technical University of Denmark, focusing on projects related to reliable and secure M2M/IoT communication engineering, propagation models for drone communication on 5G, and software-defined network applications.

Contributions and Research Focus On Engineering

Singh's research primarily focuses on advancing telecommunications technologies, particularly in the areas of IoT, drone communication, 5G networks, and software-defined networking. His work involves defining reliable and secure communication protocols for M2M/IoT applications, developing propagation models for drone communication on 5G networks, and exploring software-defined network applications for railways and roads co-existence scenarios. Additionally, Singh has contributed to research projects related to NB-IoT, LoRaWAN, and IoT sensor deployment.

Accolades and Recognition In Engineering

Singh's contributions to the field of telecommunications have earned him recognition and accolades throughout his career. Notably, he was awarded a first-class degree for his Bachelor's studies at Nagpur University. Furthermore, his work as a PhD Researcher and Research Intern has garnered attention for its innovative approaches to addressing challenges in M2M/IoT communication and drone communication on 5G networks. Engineering encompasses the application of scientific principles to design, develop, and innovate solutions that address complex challenges across various industries.

From creating sustainable infrastructure to advancing technological frontiers, engineering plays a pivotal role in shaping the world we live in Engineers leverage their expertise in mathematics, physics, and materials science to conceive, plan, and execute projects ranging from building structures and transportation systems to developing cutting-edge technologies like artificial intelligence and renewable energy solutions.

Impact and Influence

Singh's research and professional endeavors have made a significant impact on the advancement of telecommunications technologies. His contributions to projects related to IoT, 5G networks, and software-defined networking have the potential to revolutionize various industries, including transportation, infrastructure, and manufacturing. Singh's work not only addresses current challenges but also paves the way for future innovations in telecommunications.

Through a blend of creativity, technical proficiency, and problem-solving skills, engineers strive to improve efficiency, enhance functionality, and drive progress. Engineering is not just about solving problems; it's about pushing boundaries, fostering innovation, and making a positive impact on society. Whether it's revolutionizing communication networks, designing eco-friendly buildings, or developing life-saving medical devices, engineering remains at the forefront of driving advancements that shape our collective future.

Legacy and Future Contributions

As Radheshyam Singh continues his academic and professional journey, his legacy lies in his commitment to advancing telecommunications technologies for societal benefit. Through his research, project management, and engineering roles, Singh aims to contribute to the development of reliable, secure, and efficient communication systems that facilitate connectivity and drive technological progress. His future contributions are poised to inspire further advancements in telecommunications, shaping the future of IoT, 5G networks, and beyond.

Notable Publications

Overview of Drone Communication Requirements in 5G 2023

Implementing Edge Computing Architectures for Railway Applications: An example Using the Emu5GNet Platform 2023

Pathloss Analysis and Modelling for 5G Communication in U-SPACEa 2023

Implementing Edge Computing Architectures for Railway Applications: An example Using the Emu5GNet Platform 2023

Susana B. Guerrero Ocampo – innovation networks – Best Researcher Award

Posted on by Academic achievements

Susana B. Guerrero Ocampo - innovation networks - Best Researcher Award

Universidad Politécnica de Madrid (UPM) - Spain

Professional Profiles

Early Academic Pursuits

Susana B. Guerrero Ocampo embarked on her academic journey with a strong commitment to addressing societal challenges through interdisciplinary research. She obtained her Bachelor's degree in Nursing from Universidad Nacional Pedro Ruiz Gallo, Peru, and further honed her expertise with a Diploma in Family and Community Medicine and Primary Health Care from the National School of Public Health in alliance with the National University Pedro Ruiz Gallo,

Peru. Guerrero Ocampo's academic pursuits continued with a Master's degree in Social Management from Pontificia Universidad Católica del Perú, Lima, focusing on effective social program targeting systems. Her passion for sustainable human development led her to pursue a Master's in Strategies and Technologies for Development from the Complutense University of Madrid and the Polytechnic University of Madrid, where she explored innovative approaches to needs assessment in refugee camps.

Professional Endeavors

Guerrero Ocampo's professional journey is characterized by her dedication to international cooperation and development projects. She gained extensive experience in managing such projects with Spanish and European public funds. Her internship at Unicef - Spanish Committee's Local Childhood Policies Area further enriched her understanding of child development policies. Guerrero Ocampo also engaged in capacity-building initiatives, including providing training on the NAUTIA methodology in Sahrawi refugee camps in Algeria and participating in development project management courses.

Contributions and Research Focus On innovation networks

As a Ph.D. in Rural Development Project Planning and Sustainable Management from Universidad Politécnica de Madrid, Guerrero Ocampo's research focused on optimizing interactive innovation in rural areas. She has contributed significantly to the field through her research on social network analysis, multi-actor partnerships for agricultural innovation, and co-innovation partnerships in rural Iberia. Her work addresses critical issues such as sustainable agriculture, rural development, and social inclusion.

Accolades and Recognition In innovation networks

Guerrero Ocampo's contributions to academia have been recognized through various accolades and publications. Her Master's thesis was awarded the "Best Master's Thesis in the field of Sustainable Human Development," highlighting the impact of her research on addressing societal challenges. She has authored several articles published in reputable journals, including Sustainability and the Journal of Rural Studies, showcasing her expertise in rural development and innovation.

Susana B. Guerrero Ocampo excels in research on innovation networks, pioneering collaborative models and technological advancements. Her work fosters creative partnerships and entrepreneurial endeavors, leading to cutting-edge innovations and breakthroughs. As a recognized leader in innovation networks, Guerrero Ocampo's contributions have earned her accolades and recognition in the academic community.

Impact and Influence

Guerrero Ocampo's research has made a significant impact on academia and practice. By examining multi-actor partnerships and interactive innovation initiatives, she has provided valuable insights into effective approaches for addressing complex challenges in rural areas. Her work has informed policy-making and development strategies aimed at promoting sustainable agriculture, fostering social cohesion, and enhancing rural livelihoods.

Legacy and Future Contributions

As Guerrero Ocampo continues her academic and professional journey, her legacy lies in her commitment to advancing sustainable development and social justice. Through her interdisciplinary research and practical experience, she aims to contribute to creating positive change in marginalized communities and promoting inclusive development practices. Her future contributions are poised to inspire future generations of scholars and practitioners to address pressing global challenges with creativity, empathy, and rigor.

Notable Publications

Evolution of multi-actor co-innovation partnerships: Key factors in 4 case studies in rural Iberia 2024

Social Network Analysis Uses and Contributions to Innovation Initiatives in Rural Areas: A Review 2023

Multi-Actor Partnerships for Agricultural Interactive Innovation: Findings from 17 Case Studies in Europe 2022

Dr. MA, Jing – Computer Science – Best Researcher Award

Posted on by Academic achievements

Dr. MA, Jing - Computer Science - Best Researcher Award

Hong Kong Baptist University - Hong Kong

Professional Profiles

Early Academic Pursuits

Dr. MA, Jing embarked on his academic journey with a strong foundation in Telecommunications Engineering, earning his B.Eng. from Beijing University of Posts and Telecommunications in 2013. He furthered his studies with an M.S. in Computer Science specializing in Telecommunications Engineering from the same institution. Dr. MA's academic pursuits culminated in a Ph.D. in Information Systems with a focus on Systems Engineering and Engineering Management from The Chinese University of Hong Kong in 2020. Under the guidance of esteemed supervisors Kam-Fai Wong and Wei Gao, Dr. MA delved into the intricate realms of large language models, multi-modal systems, credibility assessment, and social media analytics.

Professional Endeavors

Following his academic achievements, Dr. MA ventured into the professional realm as an Assistant Professor in the Department of Computer Science at Hong Kong Baptist University. His expertise spans across various domains, including information retrieval, machine learning, and social media analytics. Dr. MA's professional journey is marked by a series of groundbreaking research endeavors aimed at tackling contemporary challenges in the digital landscape.

Contributions and Research Focus On Computer Science

Dr. MA's research focus encompasses several critical areas in computer science. He has made significant contributions to the development of large language models, particularly in the domains of code generation, fake news detection, and meme analysis. His work on explainable AI and credibility assessment has garnered widespread recognition within the academic community. Moreover, Dr. MA has pioneered research in multi-modal systems, exploring the intersection of text and image processing for enhanced information retrieval and understanding.

Accolades and Recognition In Computer Science

Dr. MA's contributions to the field have been recognized through numerous accolades and publications in prestigious conferences and journals. His research papers have been presented at renowned conferences such as The Web Conference, ICLR, ICASSP, EMNLP, and ICCV, among others. These publications underscore Dr. MA's dedication to advancing the frontiers of knowledge his ability to address complex challenges through innovative methodologies.

Impact and Influence

Dr. MA's work has had a profound impact on both academia and industry. His research findings have shed light on critical issues such as fake news detection, meme analysis, and credibility assessment, thereby contributing to the development of more robust and trustworthy AI systems. Furthermore, Dr. MA's collaborations with leading researchers and institutions have facilitated knowledge exchange and fostered interdisciplinary approaches to address contemporary challenges in the digital age.

Legacy and Future Contributions To Computer Science

As Dr. MA continues to push the boundaries of research, his legacy is poised to inspire future generations of scholars and practitioners. His commitment to excellence, coupled with his innovative research methodologies, serves as a beacon for aspiring researchers seeking to make meaningful contributions to the field. Looking ahead, Dr. MA envisions further advancements in large language models, multi-modal systems, and AI ethics, paving the way for a more inclusive, transparent, and trustworthy digital ecosystem.

Dr. MA's dedication to academic excellence, coupled with his innovative research endeavors, positions him as a leading figure in the field of computer science. His contributions have not only expanded the horizons of knowledge but have also paved the way for the development of more robust and ethical AI systems, ensuring a brighter and more equitable future for humanity.

Notable Publications

CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy 2024

Towards low-resource rumor detection: Unified contrastive transfer with propagation structure 2024

Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition 2024

Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning 2023