Yuxuan Zhao – Deep Learning – Best Researcher Award

Posted on by scifat

Yuxuan Zhao - Deep Learning - Best Researcher Award

Xi’an Jiaotong-Liverpool University - China

AUTHOR PROFILE

SCOPUS

ACADEMIC BACKGROUND

Dr. Yuxuan Zhao is an accomplished Assistant Professor at the School of AI and Advanced Computing (AIAC) at Xi’an Jiaotong-Liverpool University (XJTLU), Taicang Campus. He completed his PhD in Computer Science from the University of Liverpool in 2022 and holds an MSc in Computer Graphics, Vision and Imaging from University College London, earned in 2017. His academic journey reflects a robust foundation in advanced computing and artificial intelligence.

RESEARCH INTERESTS

Dr. Zhao’s research encompasses a broad spectrum of advanced technological fields. His primary interests include deep learning, image and video processing, computer vision, and the application of machine learning techniques. His work aims to push the boundaries of how these technologies can be utilized to solve complex real-world problems.

RESEARCH PROJECTS

Dr. Zhao is engaged in several cutting-edge research projects. His work on "Deep Learning in Video Anomaly Detection" and "Radar Signal Processing Based on Neural Network Sequence Mode" highlights his focus on innovative applications of machine learning. He is also involved in "Computer Vision-Based Traffic Accident Detection" and the governmental project "Intelligent Multimodal Data Analysis for Digital Twin Cities," reflecting his commitment to advancing technology in practical and impactful ways.

PROCEEDINGS AND PUBLICATIONS

Dr. Zhao has contributed to numerous high-profile conferences and journals. His recent papers include "Appearance-Motion United Memory Autoencoder for Video Anomaly Detection," presented at the 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, and "YOLOv5s-Transformer: Improved YOLOv5 Network for Real-Time Detection of Cigarette Smoking," showcased at the 2023 4th International Seminar on Artificial Intelligence, Networking, and Information Technology. His research demonstrates a deep engagement with current trends and challenges in computer vision and AI.

CONFERENCE PARTICIPATION

Dr. Zhao has actively participated in the academic community by presenting at leading conferences and contributing to the advancement of knowledge in his field. His presentations at various international seminars and conferences underscore his role in shaping the future of AI and computer vision.

INNOVATIVE RESEARCH CONTRIBUTIONS

Dr. Zhao’s innovative contributions include the development of intelligent algorithms for multi-mobile robot systems and autonomous alert generation for disaster management. His early work, such as the design of algorithms for Wi-Fi access point roaming, highlights his long-standing dedication to addressing diverse technological challenges.

GOVERNMENTAL RESEARCH PROJECTS

Currently, Dr. Zhao is involved in several governmental research initiatives, including the "Suzhou Multimodal Big Data Innovation Application Lab," which aims to enhance the application of big data and AI technologies. These projects reflect his ongoing commitment to leveraging advanced technologies for societal benefit.

NOTABLE PUBLICATION

A Novel Two-Stream Structure for Video Anomaly Detection in Smart City Management

Authors: Zhao, Y., Man, K.L., Smith, J., Guan, S.-U.
Year: 2022
Journal: Journal of Supercomputing
Pages: 3940–3954

Improved Two-Stream Model for Human Action Recognition

Authors: Zhao, Y., Man, K.L., Smith, J., Siddique, K., Guan, S.-U.
Year: 2020
Journal: Eurasip Journal on Image and Video Processing
Article: 24

Erratum: RingText: Dwell-free and Hands-free Text Entry for Mobile Head-Mounted Displays Using Head Motions

Authors: Xu, W., Liang, H.-N., Zhao, Y., Yu, D., Monteiro, D.
Year: 2019
Journal: IEEE Transactions on Visualization and Computer Graphics
Volume: 25
DOI: 10.1109/TVCG.2019.2898736

DMove: Directional Motion-based Interaction for Augmented Reality Head-Mounted Displays

Authors: Xu, W., Liang, H.-N., Zhao, Y., Yu, D., Monteiro, D.
Year: 2019
Conference: Conference on Human Factors in Computing Systems - Proceedings

RingText: Dwell-free and Hands-free Text Entry for Mobile Head-Mounted Displays Using Head Motions

Authors: Xu, W., Liang, H.-N., Zhao, Y., Yu, D., Monteiro, D.
Year: 2019
Journal: IEEE Transactions on Visualization and Computer Graphics

Swathi – ARTIFICIAL INTELLIGENCE – Best Researcher Award

Posted on by scifat

Swathi - ARTIFICIAL INTELLIGENCE - Best Researcher Award

PANIMALAR ENGINEERING COLLEGE - India

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS:

Swathi.S stands as a dedicated and motivated individual, poised to leverage her educational background and skills to impart knowledge. With a focus on both modern and traditional teaching approaches, she is committed to fostering skill development in learners.

PROFESSIONAL ENDEAVORS:

Her academic journey includes a Ph.D. in Computer Science and Engineering from Anna University, where her provisional confirmation showcases a commitment to advancing knowledge. With a master's degree from P.A College of Engineering and Technology and a bachelor's degree from Dr.N.G.P Institute of Technology, Swathi.S has built a strong academic foundation.

CONTRIBUTIONS AND RESEARCH FOCUS:

Swathi.S has ventured into the realm of academia with roles ranging from Lecturer to Assistant Professor in various esteemed institutions. Her current position as an Assistant Professor in Artificial Intelligence and Data Science at Panimalar Engineering College reflects her evolving research focus and dedication to staying at the forefront of technological advancements.

IMPACT AND INFLUENCE:

Attending a plethora of Faculty Development Programs (FDP) and workshops, Swathi.S ensures she stays abreast of the latest trends. Her active participation in conferences and seminars, both national and international, underscores her commitment to academic growth and networking.

ACADEMIC CITES:

While specific details about academic citations are not provided, Swathi.S's continuous engagement in FDPs and attendance at conferences indicate a proactive approach to staying connected with the academic community. This involvement likely contributes to her academic citations indirectly.

LEGACY AND FUTURE CONTRIBUTIONS:

Swathi.S's journey has been marked by a series of FDPs, workshops, and conferences, laying the groundwork for a legacy of continuous learning and knowledge dissemination. Her current position in the field of Artificial Intelligence positions her for impactful future contributions.

ARTIFICIAL INTELLIGENCE FOCUS:

Swathi.S has demonstrated a keen interest in Artificial Intelligence, evident from her current role and the repeated participation in FDPs related to AI. Her future contributions are likely to make significant strides in the field of Artificial Intelligence.

NOTABLE PUBLICATION

Recurrent Neural Network for Human Action Recognition using Star Skeletonization.  2019 (3)

Deep Learning: A Detailed Analysis Of Various Image Augmentation Techniques.  2023 (2)

Temperature Monitoring Mechanism for Covid-19 Using WSN.  2022 (1)

Know Them: Convolutional Neural Networks For Facial Emotion Recognition.  2022