Prof. Liang Yang | Autonomous Systems | Best Innovation Award

Posted on by ScienceFather

Prof. Liang Yang | Autonomous Systems | Best Innovation Award

Professor at University of Electronic Science and Technology of China, China

👨‍🎓 Profiles

Orcid

🎓 Early Academic Pursuits

Prof. Yang Liang began his academic journey with a strong foundation in electronic and control engineering. He earned a Bachelor’s degree in Electronic Engineering from Nanchang University (1998–2002) and further honed his expertise by pursuing a Master’s degree in Control Theory and Control Engineering at Guangdong University of Technology (2002–2005). His academic background laid the groundwork for his future endeavors in advanced research and innovative technology development.

💼 Professional Endeavors

Prof. Yang Liang’s professional career spans over two decades, marked by diverse roles in academia and industry. Since 2009, he has served as a Professor at the University of Electronic Science and Technology of China, Zhongshan Institute. His responsibilities include leading research initiatives, mentoring students, and contributing to the institution’s academic excellence.
Before this, he gained significant industry experience as a Team Leader at Lexpect Co., Ltd. (2006–2009), where he spearheaded projects like the development of Unlicensed Mobile Access (UMA) Controllers, enabling seamless roaming between Wi-Fi and GSM networks. Additionally, as a Software Engineer at Huawei Technologies (2005–2006), he contributed to the design and implementation of WCDMA soft switch software.

🛠️ Contributions and Research Focus

Prof. Yang Liang’s research focuses on control systems, robotics, and mobile communication technologies. He has led multiple projects funded by prestigious organizations such as the National Natural Science Foundation and the Guangdong Provincial R&D Program in Key Areas. His work includes:

  • Development of an automatic spray disinfection and sterilization robot.
  • Creation of intelligent control systems for high-precision machining and home appliances.
  • Designing a mobile file-sharing system that facilitates seamless file transfer over various networks.

🌟 Impact and Influence

Prof. Yang Liang’s research has resulted in over 20 publications in reputed journals, including the Journal of Franklin Institute, Nonlinear Dynamics, and Control and Decision. As the first inventor, he holds 18 authorized invention patents. His innovations, such as robotics and intelligent control systems, have been successfully adopted by enterprises, yielding significant economic and social benefits.

📚 Academic Cites

His publications have garnered recognition for their practical and theoretical contributions to engineering and technology. His work in robotics, system optimization, and mobile communication has been widely cited, reflecting its relevance and influence in the academic community.

💻 Technical Skills

  • Expertise in Linux kernel optimization and high-performance server design.
  • Proficiency in C/C++ and other programming languages.
  • Hands-on experience with GPRS/WCDMA/TD/Wi-Fi networks and TCP server design.

👨‍🏫 Teaching Experience

As a dedicated educator, Prof. Yang Liang has mentored countless students, equipping them with the knowledge and skills to excel in control engineering and robotics. His courses are renowned for their practical approach, integrating theoretical concepts with hands-on applications.

🏆 Legacy and Future Contributions

Prof. Yang Liang’s legacy lies in his ability to bridge the gap between academia and industry. His innovations have not only advanced technological frontiers but also inspired a new generation of engineers and researchers. Looking forward, he aims to further his contributions to robotics, intelligent systems, and mobile communication technologies, ensuring their continued relevance and impact.

 

Publications

Three-Dimensional Lidar Localization and Mapping with Loop-Closure Detection Based on Dense Depth Information

  • Author: Liang Yang, Zhenbiao Yu, Chunjian Deng, Guanyu Lai
  • Journal: Mathematics
  • Year: 2023

Adaptive Sliding Mode Control of Robot Manipulators with System Failures

  • Author: Rui Li, Liang Yang, Yong Chen, Guanyu Lai
  • Journal: Mathematics
  • Year: 2022

Online Control for Biped Robot with Incremental Learning Mechanism

  • Author: Liang Yang, Guanyu Lai, Yong Chen, Zhihui Guo
  • Journal: Applied Sciences
  • Year: 2021

Simultaneous Optimisation of Cable Connection Schemes and Capacity for Offshore Wind Farms via a Modified Bat Algorithm

  • Author: Yuanhang Qi, Peng Hou, Liang Yang, Guangya Yang
  • Journal: Applied Sciences
  • Year: 2019

Assoc Prof Dr. Junbing Cheng | Autonomous Systems | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Junbing Cheng | Autonomous Systems | Best Researcher Award

Junbing Cheng at Taiyuan University of Technology, China

👨‍🎓 Profiles

Scopus

Orcid

📝 Summary

Assoc. Prof. Dr. Junbing Cheng specializes in multi-source information fusion, robot positioning, and navigation. He is the Deputy Director of the Shanxi Key Laboratory of Beidou Information Service Technology and an Executive Member of the CCF Internet of Things Committee.

🎓 Education

  • Ph.D. in Electronic Science and Technology
    Taiyuan University of Technology (09/2016–12/2019)
  • B.Sc. in Measurement and Control Technology and Instruments
    Xidian University (09/2003–07/2007)

💼 Professional Experience

  • Deputy Director, Shanxi Key Laboratory of Beidou Information Service Technology
  • Research Lead, Shanxi Province Key Research and Development Project (01/2022–01/2026)

🔬 Research Interests

  • Multi-source information fusion
  • Robot positioning and navigation

Publications

Vision-assisted GNSS/INS high precision positioning method based on adaptive maximum correntropy criterion in urban traffic environment

  • Authors: Cheng, J., Gao, Y., Wang, H., Ma, W., Wu, J.
  • Journal: Measurement: Journal of the International Measurement Confederation
  • Year: 2025

An Adaptive Integrated Positioning Method for Urban Vehicles Based on Multitask Heterogeneous Deep Learning During GNSS Outages

  • Author: Cheng, J., Gao, Y., Wu, J.
  • Journal: IEEE Sensors Journal
  • Year: 2023

Channel compensation multipath mitigation technique for Kalman-Based Least Mean Square based on Kalman estimation

  • Author: Li, D., Wang, X., Zhao, J., Cheng, J.
  • Journal: Concurrency and Computation: Practice and Experience
  • Year: 2021

Research on BDS fast and precise positioning method in complex environment

  • Author: Cheng, J.
  • Journal: Cehui Xuebao/Acta Geodaetica et Cartographica Sinica
  • Year: 2021

Multipath Mitigation in GNSS Positioning by the Dual-Path Compression Estimation

  • Author: Zhang, P., Li, D., Zhao, J., Cheng, J.
  • Journal: IEEE Sensors Journal
  • Year: 2020

Dr. Ken Abamba Omwange | Autonomous Systems | Best Researcher Award

Posted on by ScienceFather

Dr. Ken Abamba Omwange | Autonomous Systems | Best Researcher Award

Doctorate at USDA-Agricultural Research Service, United States

👨‍🎓 Profiles

Scopus

Orcid

Google Scholar

🎓 Early Academic Pursuits

Dr. Ken Abamba Omwange embarked on his academic journey with a strong foundation in soil, water, and environmental engineering at Jomo Kenyatta University of Agriculture & Technology (Kenya), where he earned his Bachelor of Science degree (2010-2015). His research focused on GIS and Remote Sensing as well as watershed management, laying the groundwork for his future work in agricultural sciences. Building upon this knowledge, he advanced to Kyoto University (Japan), earning a Master of Science (2017-2019) and subsequently a Ph.D. (2019-2022) in Agricultural Science. His doctoral research, supervised by Dr. Naoshi Kondo, explored fluorescence spectroscopy and fluorescence imaging techniques to assess food product quality. This phase was pivotal in shaping his understanding of non-destructive monitoring technologies for food freshness.

💼 Professional Endeavors

  • Postdoctoral Research Associate at the US Department of Agriculture Agricultural Research Station in East Lansing, Michigan (2023-Present), where he applies his expertise in fluorescence and machine vision systems to food quality evaluation.
  • Postdoctoral Research Associate at Kyoto University’s Laboratory of Bio-Sensing Engineering (2022-2023), where he continued to explore the applications of bio-sensing techniques in food engineering.
  • Lecturer at Kenya Water Institute and Kiambu Institute of Science & Technology (2016-2017), where he taught engineering courses, inspiring the next generation of scientists and engineers.
  • Site Engineer at National Irrigation Board, Nairobi, Kenya (2015-2016), overseeing the construction of water dams in arid and semi-arid regions.

🔬 Contributions and Research Focus

Dr. Omwange’s research interests bridge diverse fields, with an emphasis on food quality evaluation, machine vision systems, and agricultural automation. His significant contributions include:

  • Fluorescence Spectroscopy and Imaging: Developing methods to evaluate food products non-destructively using surface fluorescence compounds.
  • Machine Learning in Agriculture: Incorporating machine learning and computer vision to advance agricultural automation and food safety.
  • GIS and Remote Sensing: Applying these techniques to watershed management and land-use evaluations, with direct implications for sustainable agricultural practices.

Dr. Omwange’s work is particularly notable for integrating optical and acoustic sensors in agricultural applications and advancing the use of Helmholtz resonance to evaluate agricultural products’ quality.

🌍 Impact and Influence

Dr. Omwange’s academic excellence was recognized in 2021 by the President of Kyoto University, who highlighted him as one of the most promising Ph.D. students. His work was also acknowledged by the Schmidt Science Fellowship program, where he was selected as part of a global cohort. Despite not advancing beyond the third selection stage, the experience was a testament to his exceptional potential. His research continues to shape the future of food quality monitoring, agriculture automation, and environmental conservation.

📚 Academic Cites and Recognition

Throughout his academic career, Dr. Omwange has contributed significantly to scientific literature, earning accolades for his research on fluorescence spectroscopy, machine vision, and agricultural automation. His work continues to be cited by researchers and professionals in fields ranging from food science to agricultural engineering, further cementing his influence in the scientific community.

💻 Technical Skills

  • Statistical Modeling and Data Processing (MATLAB)
  • Machine Learning and Digital Signal Processing
  • Computer Vision (Image Processing)
  • GIS and Remote Sensing (Landsat Imagery Processing)

🎓 Teaching Experience

In his role as a Lecturer, Dr. Omwange inspired students at Kenya Water Institute and Kiambu Institute of Science & Technology. He taught subjects related to engineering, mathematics, and science, providing students with practical knowledge that bridges academic theory and real-world applications. His dedication to teaching has left a lasting impact on the next generation of engineers and scientists.

🌟 Legacy and Future Contributions

Looking forward, Dr. Omwange aims to continue advancing the integration of machine learning, spectroscopy, and agriculture automation. He aspires to contribute to the development of innovative systems that will transform food quality evaluation and environmental conservation practices globally. His passion for sustainability and food safety drives his ongoing research and positions him as a leader in the field of agricultural science.

🏅 Awards and Recognition

  • Toyota Tsusho International Student Scholarship (2020-2022)
  • MEXT Master’s Scholarship (2017-2019)
  • Best Leadership Award, SABE (2014)
  • Best Contributor in Agricultural Debate, SABE (2013)
  • Best Soccer Player, JKUAT (2014)

Publications

Early Detection of Blossom-End Rot in Green Peppers Using Fluorescence and Normal Color Images in Visible Region

  • Author: Zichen Huang, Tetsuyuki Takemoto, Ken Abamba Omwange, Michela Orsino, Keiji Konagaya, Naoshi Kondo
  • Journal: Food Control
  • Year: 2025

Predicting piperine content in javanese long pepper using fluorescence imaging and machine learning model

  • Author: Sandra Sandra, Retno Damayanti, Rut Juniar Nainggolan, Mitha Sa’diyah, Anita Sekar Kusumastuti, Siska Ratna Anggraeni, Yusuf Hendrawan, Ken Abamba Omwange
  • Journal: BIO Web of Conferences
  • Year: 2024

A review of fluorescence imaging system supported by excitation-emission matrix for fruit and vegetable quality estimation

  • Author: Zichen Huang, Yoshito Saito, Tianqi Gao, Dimas Firmanda Al Riza, Renfu Lu, Haiyan Cen, Naoshi Kondo, Ken Abamba Omwange
  • Journal: Food Control
  • Year: 2024

Macroscopic and microscopic characterization of fluorescence properties of multiple sweet pepper cultivars (Capsicum annuum L.) using excitation-emission matrix and UV induced fluorescence imaging

  • Author: Zichen Huang, Tetsuyuki Takemoto, Ken Abamba Omwange, Yoshito Saito, Makoto Kuramoto, Naoshi Kondo
  • Journal: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
  • Year: 2023

Monitoring strawberry (Fragaria× ananassa) quality changes during storage using UV-excited fluorescence imaging

  • Author: Zichen Huang, Ken Abamba Omwange, Yoshito Saito, Makoto Kuramoto, Naoshi Kondo
  • Journal: Journal of Food Engineering
  • Year: 2023

Dr. Yuanyang Zuo | Autonomous Systems | Best Researcher Award

Posted on by ScienceFather

Dr. Yuanyang Zuo, Autonomous Systems, Best Researcher Award

Doctorate at Tongji University, China

Professional Profile

🌟 Summary:

Dr. Zuo is a Ph.D. candidate specializing in intelligent automotive interaction design. His research focuses on multimodal human-vehicle interactions, aiming to enhance safety and user experience in smart cockpits.

🎓 Education:

Ph.D. Candidate, College of Design and Innovation, Tongji University

💼 Professional Experience:

Research on multi-modal human-computer interaction systems for intelligent cockpits.

🔬 Research Interest:

  • Intelligent automotive interaction design
  • Human factors in design
  • In-vehicle information systems

📖 Publications Top Noted:

Paper Title: User Interaction Mode Selection and Preferences in Different Driving States of Automotive Intelligent Cockpit
  • Authors: Zuo, Y., Ma, J., Gong, Z., Zhao, J., Zang, L.
  • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Year: 2024
Paper Title: Research on the Correlation of User Evaluation on the Interaction Features Between the Central-Control-Screen and Voice in the Automobile Cockpit
  • Authors: Zuo, Y., Ma, J., Du, H., Tan, M., Yang, Q.
  • Journal: Communications in Computer and Information Science
  • Year: 2024
Paper Title: The Value and Ethical Responsibility of Visual Interaction Information Design for Automotive Intelligent Cockpit
  • Authors: Zuo, Y., Xiao, S., Ma, J.
  • Journal: ACM International Conference Proceeding Series
  • Year: 2023
Paper Title: User Preference of Different Artificial Intelligence Level in Vehicle System
  • Authors: Ma, J., Zuo, Y., Gong, Z.
  • Journal: IOP Conference Series: Earth and Environmental Science
  • Year: 2020
  • Citations: 2
Paper Title: Assessing the driving distraction effect of vehicle HMI displays using data mining techniques
  • Authors: Ma, J., Gong, Z., Tan, J., Zhang, Q., Zuo, Y.
  • Journal: Transportation Research Part F: Traffic Psychology and Behaviour
  • Year: 2020
  • Citations: 32

Fadhila-Tlili-Autonomous Systems-Excellence in Research 

Posted on by ScienceFather

Ms. Fadhila-Tlili-Autonomous Systems-Excellence in Research 

University of Technology of Troyes-France 

Author Profile

Early Academic Pursuits

Ms. Fadhila Tlili embarked on her academic journey with a strong focus on computer science and multimedia, laying the groundwork for her future endeavors. Her Fundamental License in Computer Science and Multimedia from the Higher Institute of Computer Science and Multimedia of Sfax, Tunisia, provided her with a robust foundation in the field. Following this, she expanded her horizons through an international exchange program at the University of Applied Sciences Turku in Finland, where she delved into the development and design of Serious Games, broadening her expertise.

Professional Endeavors

Ms. Fadhila Tlili professional trajectory reflects her commitment to research and development, particularly in the intersection of artificial intelligence (AI) methodologies and drone security. Her roles as a Research PhD Student at LIST3N Laboratory, University of Technology of Troyes, and SMARTS Laboratory, Digital Research Center of Sfax, exemplify her dedication to exploring innovative solutions for drone intrusion detection and risk analysis. Additionally, her tenure as a Research & Development Intern at ReGIM Laboratory, National Engineering School of Sfax, offered her hands-on experience in medical imaging segmentation and classification using deep learning and reinforcement learning techniques.

Contributions and Research Focus

Ms. Fadhila Tlili's contributions to academia are underscored by her research publications, which showcase her expertise in UAV security and artificial intelligence. Her work delves into the vulnerabilities, threats, and attacks affecting UAVs, offering assessments and countermeasures to mitigate risks. Furthermore, her research extends to the development of adaptive deep learning frameworks for UAV fault and attack detection, as well as dynamic intrusion detection systems leveraging AI for UAVCAN protocol.

Accolades and Recognition

Ms. Fadhila Tlili's research endeavors have garnered recognition within the academic community, evidenced by her publications in esteemed journals and conferences such as Ad Hoc Networks, IEEE Transactions on Services Computing, and Computers Security. These accolades underscore her contributions to advancing knowledge in the field of drone security and artificial intelligence.

In the realm of autonomous systems, excellence is a hallmark of innovation and dedication. Every year, the Autonomous Systems Award seeks to recognize individuals who have made outstanding contributions to this field. Fadhila Tlili, with her groundbreaking research and tireless commitment, exemplifies the spirit of this prestigious accolade.

Impact and Influence

Ms. Fadhila Tlili's research has the potential to significantly impact the field of drone security, offering innovative solutions to mitigate risks and enhance the resilience of UAV systems. By leveraging artificial intelligence methodologies, her work contributes to the development of robust intrusion detection systems and fault detection frameworks, thereby bolstering the security posture of UAVs in various contexts.

Tlili's journey in autonomous systems has been marked by a relentless pursuit of excellence. Her pioneering work in drone security, coupled with the application of artificial intelligence methodologies, has significantly advanced the capabilities of autonomous systems. Through her research, she has demonstrated a deep understanding of the complex challenges and opportunities inherent in this dynamic field.

Legacy and Future Contributions

As Ms. Fadhila Tlili continues her academic journey, her legacy lies in her commitment to advancing knowledge at the intersection of AI and drone security. Her future contributions are poised to further propel innovation in this domain, shaping the future landscape of UAV technologies and ensuring their secure integration into various applications. Through her dedication to research and development, Tlili remains a pivotal figure in addressing the evolving challenges facing UAV systems, leaving a lasting impact on the field.

Citations

  • Citations     45
  • h-index         2
  • i10-index      2

Notable Publication