Yijian Liu | Human-Computer Interaction | Best Researcher Award

Prof. Yijian Liu | Human-Computer Interaction | Best Researcher Award

Shandong University of Science and Technology | China 

Author Profile

Scopus

Academic Profile of Prof. Yijian Liu

Early Academic Pursuits

Prof. Yijian Liu, born in Shanxian County, Shandong Province, demonstrated early excellence in science and technology, which directed his academic journey toward micro-nano electronics. He pursued his doctoral studies at the Department of Micro-Nano Electronics, Shanghai Jiao Tong University, where he specialized in engineering research with a focus on flexible sensing and integrated circuit design. His formative academic years built a strong foundation in advanced electronics and laid the groundwork for his future research contributions.

Professional Endeavors

After completing his Ph.D. in 2018, Prof. Liu embarked on a professional career that bridged industry and academia. From 2018 to 2020, he served as a Senior R&D Engineer at Xinen (Qingdao) Integrated Circuit Co., Ltd., where he gained valuable practical insights into industrial applications of semiconductor and sensing technologies. Since August 2020, he has been serving as Deputy Director of the Department of Electronic Information Science and Technology at the School of Electronic Information Engineering, Shandong University of Science and Technology. In addition to being a lecturer and master’s supervisor, his academic leadership underscores his commitment to advancing education and research in electronics.

Contributions and Research Focus

Prof. Liu’s primary research interests lie in flexible deformation sensing and sensor integrated circuit design, with significant achievements in developing advanced sensing devices for robotics, wearable technologies, and human-machine interfaces. His scholarly output includes impactful publications in top-tier journals such as Soft Robotics, Advanced Materials Technologies, ACS Applied Materials & Interfaces, and Smart Materials and Structures. As the corresponding author of multiple high-impact studies, he has contributed pioneering work on soft pressure sensors, stretchable e-tattoos, hybrid interconnection materials, and e-skin arrays. Additionally, his contributions extend to book chapters on emerging solar energy materials, highlighting the breadth of his expertise across interdisciplinary domains.

Impact and Influence

Prof. Liu’s research has garnered international recognition for its practical applications in robotics, biomedical sensing, and integrated systems. His publications in high-impact SCI journals with impressive citation potential reflect both academic rigor and societal relevance. Beyond publications, his role as reviewer for prestigious journals such as IEEE EDL and his memberships in IEEE, the Chinese Society of Micro-Nanotechnology, and the Chinese Instrument Society demonstrate his influence within the global academic and professional communities.

Academic Cites

His scholarly articles, many of which are highly cited, provide critical insights into flexible electronics and sensing technologies. Journals such as ACS Applied Materials & Interfaces and Soft Robotics have served as platforms for his influential work, further amplifying his visibility and reputation in the global research community.

Legacy and Future Contributions

Prof. Liu’s academic journey reflects a trajectory of innovation and leadership in micro-nano electronics and flexible sensor design. His involvement in major national-level projects such as the National Key R&D Program and the National 863 R&D Program positions him as a key contributor to China’s advancements in cutting-edge technology. Looking ahead, his legacy will continue to expand through mentorship of graduate students, leadership in interdisciplinary research, and contributions toward industrial applications of smart sensor technologies. His future work is expected to bridge theoretical innovation with real-world applications, reinforcing his role as a transformative figure in electronic information engineering.

Conclusion

Prof. Yijian Liu exemplifies a dynamic blend of academic excellence, industrial expertise, and research innovation. His contributions to flexible sensing and integrated circuit technologies not only advance scholarly knowledge but also pave the way for transformative applications in robotics, healthcare, and human-machine interfaces. With a strong foundation in research and an active role in both academia and industry, Prof. Liu stands as an influential scholar whose legacy will continue to shape the future of electronic information science and technology.

Notable Publications

“Machine learning coupled RF LC pressure sensing array based on vertical integration structure

“Microwave-assisted scalable CNTs/TPU yarns for highly durable and sensitive wearable sensors

“Plasma-Induced Wrinkle-Crack Dual Structure for Robust Directional Strain Sensing in Dynamic Motion Perception

  • Author: Yijian Liu
  • Journal: Small
  • Year: 2025

“MXene–MWCNT Conductive Network for Long-Lasting Wearable Strain Sensors with Gesture Recognition Capabilities

“Robust One-Dimensional Sensing Yarn for High-Performance Strain Detection in Wearables

 

 

Ambreen Basheer | Autonomous Control Systems | Best Researcher Award

Ms. Ambreen Basheer | Autonomous Control Systems | Best Researcher Award

University of Science and Technology of China | Pakistan

Author Profile

Scopus

Academic and Research Profile of Ambreen Basheer

Early Academic Pursuits

Ambreen Basheer demonstrated academic excellence from an early stage, excelling in both science and engineering disciplines. She did undergraduate in Electrical Engineering at the University of Punjab reflects her commitment to technical rigor. She pursued her Master's studies in system engineering with a specialization in the control system domain at the Pakistan Institute of Engineering and Applied Sciences (PIEAS), Pakistan. Building on this achievement and her solid understanding of the control system design, she has been awarded the ANSO fellowship for her PhD studies at the Department of Automation, University of Science and Technology of China.

Professional Endeavors

Ambreen's research and professional development are characterized by a focused integration of theoretical rigor, which is suitable for practical application. Her work is
primarily situated in the domain of advanced control systems, with a specific emphasis on developing online learning-based methodologies for complex dynamical systems. She possesses deep expertise in the design and stability analysis of adaptive, robust, and nonlinear controllers, often employing Lyapunov-based techniques. A central thrust of her research involves the synthesis of safe online reinforcement learning optimal control. Her research program is centered on the design and analysis of advanced control systems.

Contributions and Research Focus

Her research trajectory began with her Bachelor’s project on Wireless SCADA for Industrial Automation, exploring innovative applications of sensors, microcontrollers, and wireless communication. This technical curiosity deepened during her MS in Systems Engineering (PIEAS), where she published on multi-agent consensus and adaptive control. Currently, as a PhD scholar at the University of Science and Technology of China, her research centers on Control Theory and Control Engineering, with a strong emphasis on:

  • Online learning-based control systems
  • Safe trajectory tracking
  • Dynamic obstacle avoidance
  • Kernel-based modeling and barrier functions

Her multiple publications in high-impact journals and IEEE conferences underscore her contributions to autonomous systems and resilient control architectures.

Impact and Influence

Ambreen’s work bridges theory with real-world applications, particularly in safe robotics, vehicle automation, and industrial process optimization. Her research has been published in globally recognized journals such as the Journal of the Franklin Institute, IEEE Transaction, and Applied Mathematics and Computation. By integrating machine learning techniques with nonlinear control systems, she has advanced solutions that improve safety, adaptability, and efficiency in dynamic environments

Academic Citations

With multiple journal publications and international conference proceedings, Ambreen’s scholarly contributions are beginning to gain traction in academic circles. Her citations
are steadily growing as her work addresses cutting-edge challenges in control engineering and autonomous systems, marking her as a rising researcher in engineering sciences.

Legacy and Future Contributions

Ambreen’s journey reflects a blend of academic brilliance, professional adaptability, and innovative research. With expertise spanning engineering systems, intelligent control
systems , and control theory, she stands poised to make cross-disciplinary contributions. Her future research is likely to focus on intelligent automation, resilient networked
systems, and AI-driven control applications, contributing to both industrial innovation and academic knowledge.

Conclusion

Ambreen Basheer represents a new generation of scholars who combine technical mastery with applied problem-solving. Her progression from strong academic
foundations to impactful research demonstrates her dedication to advancing knowledge in control systems, automation, and intelligent engineering applications. With her
international academic exposure and growing publication record, she is well-positioned to leave a lasting legacy in research and higher education.

Notable Publications

“Approximate Optimal Trajectory Tracking and Dynamic Obstacle Avoidance for Affine System via Online Learning

  • Author: Ambreen Basheer , Man Li , Jiahu Qin
  • Journal: Journal of the Franklin Institute
  • Year: 2025

“Online Learning Based Control for Mobile Vehicle to Avoid Static Obstacles via Kernel Based Safe Dynamic Model

  • Author: Somia KanwalAmbreen Basheer
  • Journal: Advanced Algorithms and Control Engineering
  • Year: 2024

“A novel approach for adaptive H-infinite leader-following consensus of higher-order locally Lipschitz multi-agent systems

  • Author: Ambreen Basheer; Muhammad Rehan; Muhammad Tufail,;Muhammad Ahsan Razaq
  • Journal: Advanced Mathematics and computation
  • Year: 2024