Dr. Qiang Ziyang | Bio-Inspired Robot Design | Best Researcher Award

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Dr. Qiang Ziyang | Bio-Inspired Robot Design | Best Researcher Award

Qinghai University Affiliated Hospital | China

Ziy­ang Qiang is a dedicated urologist and clinical researcher currently serving as an attending urologist at the affiliated hospital of Qinghai University, China, under the supervision of Prof. Guojun Chen. He earned his bachelor’s degree in clinical medicine and later completed a master’s degree in surgery at Ningxia Medical University under Prof. Lianghong MA, where his thesis focused on the effects of the pi3k inhibitor ly294002 on the proliferation and apoptosis of prostate cancer cell line pc-3. He further expanded his research expertise at the University hospital Halle, Germany, under Prof. P. Fornara, working on minimally invasive surgery and its comparison with open surgical procedures. Over the years, he has built a strong academic and clinical foundation, combining research insight with practical surgical experience. His scholarly contributions include several publications in peer-reviewed journals, reflecting growing recognition in the field of urology. According to available databases, Dr. Ziyang Qiang has an h-index of 8, with approximately 490 citations across about 5 documents, highlighting his active engagement in Bio-Inspired Robot Design research. his work bridges clinical innovation and academic inquiry, contributing meaningfully to advancements in urological surgery and evidence-based medical practice.

Profile: Orcid

Featured Publications

Qiang, Z., Zhang, B., Li, T., Ma, L., Kong, X., & Chen, S. (2025, October). Dysbiotic gut microbiota correlates with altered serum and urinary biomarkers in recurrent calcium oxalate stone patients. International Journal of General Medicine, 18, Article S549804.

Wang, J., Fan, M., Qiang, Z., Ren, H., Chen, H., & Dai, Y. (2025, October 9). Global research trends of robotic-assisted surgery in urogynecology and reconstructive pelvic surgery: A bibliometric and visualization analysis based on Web of Science. Journal of Robotic Surgery.

Qiang, Z. (2025, October 1). Risk factor analysis and prediction model establishment for urinary incontinence after laparoscopic radical prostatectomy. Journal of the College of Physicians and Surgeons Pakistan, 35(10), 1301–1307.

Niu, S., Xia, D., Wang, B., Wang, X., Zhang, Q., Wang, J., Jin, X., Mao, L., Ruan, Y., Wang, H., … Qiang, Z. (2025, April). Real-world effectiveness of rezvilutamide plus androgen deprivation therapy in patients with low-volume, metastatic hormone-sensitive prostate cancer: A retrospective multicenter study. Translational Andrology and Urology, 14(4), 239–249.

Zhang, J., He, J., Qiang, Z., Zhang, J., Hao, F., Song, S., Chen, X., Ma, W., & Li, Y. (2024, December 18). Methyltransferase like 13 promotes malignant behaviors of bladder cancer cells through targeting PI3K/AKT signaling pathway. Open Life Sciences, 19(12), 981–990.

Dr. Nadeem Tariq Beigh | Bio-Inspired Robot Design | Best Researcher Award

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Dr. Nadeem Tariq Beigh | Bio-Inspired Robot Design | Best Researcher Award

Khalifa University | United Arab Emirates

Dr. Nadeem Tariq Beigh is an Indian Researcher and postdoctoral fellow at the smart and intelligent sensors lab, department of mechanical and nuclear engineering, Khalifa University, Abu Dhabi. With a Ph.d. in electrical engineering from the Indian Institute of Technology Delhi, he has established himself as a rising scholar in sustainable sensing, self-powered systems, mems/nems, and energy harvesting. His research emphasizes the design and development of dual piezoelectric/triboelectric nanocomposites, micro/nano energy harvesters, and intelligent sensor systems integrated with machine learning for smart health care and industry 5.0 applications. Dr. Beigh has previously served as a research fellow at nanyang technological university, singapore, and a research assistant at iit delhi, contributing to several high-impact projects funded by dst, Bio-Inspired Robot Design fit, and international collaborations. He has authored 33 research documents, accumulated 239 citations from 152 scholarly works, and holds an h-index of 8, reflecting his growing influence in advanced materials and micro-energy systems research. His interdisciplinary expertise bridges electrical, mechanical, and materials engineering, driving innovations in sustainable, flexible, and intelligent sensor technologies that advance the frontiers of smart electronics and self-powered devices.

Profiles: Scopus | Orcid

Featured Publications

Beigh, N. T., & Alcheikh, N. (2025, October 8). Vapor-induced porosity in graphene/PDMS: A scalable route to high-performance pressure sensors. Microsystems & Nanoengineering.

Amara, H., Beigh, N. T., & Alcheikh, N. (2025, September 17). Smart resonant micro-sensor and micro-actuator: High-performance, wide-range bi-axial magnetic sensitive/insensitive micro-device for multifunctional sensing applications. Microsystems & Nanoengineering.

Alcheikh, N., Amara, H., & Beigh, N. T. (2025, May 5). Smart resonant micro-sensor and micro-actuator: High-performance, wide-range bi-axial magnetic sensitive/insensitive micro-device for multifunctional sensing applications.

Singh, S., Beigh, N. T., Gupta, P., Mallick, D., & Goswami, A. (2025, April). Polarity-dependent surface charge retention on CYTOP fluoropolymer for durable TENG applications. Applied Materials Today.

Beigh, N. T. (2025, March 19). High-performance MEMS magnetic sensor based on a smart tunable resonator. In Proceedings of the 2025 IEEE 38th International Conference on Micro Electro Mechanical Systems (MEMS). IEEE.

Dr. Ziyu Liao – Supernumerary Robotic Limbs – Best Researcher Award

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Dr. Ziyu Liao - Supernumerary Robotic Limbs - Best Researcher Award

Jinhua University of Vocational Technology - China

Author Profile

ORCID

GOOGLE SCHOLAR

Summary

Ziyu Liao is an emerging researcher in the fields of wearable robotics and human-robot interaction, with a strong academic foundation built through interdisciplinary education and specialized research. from his early exploration of neural network-based control systems to advanced doctoral research on supernumerary robotic limbs (srls), liao has demonstrated a consistent focus on enhancing human-machine cooperation. his professional journey spans academic positions and industry roles, where he applied his expertise to both rehabilitation devices and complex industrial automation systems, such as battery production machinery—an area closely tied to control strategies also used in power electronics. through national and regional research projects, he has contributed to innovative solutions for gesture-based control, flexible robotic structures, and safe human-robot interaction protocols.

Early academic pursuits

Ziyu Liao began his academic journey with a bachelor’s degree from shandong university, where he uniquely combined arts and technology by pursuing a double major, including korean language. this diverse academic background laid a foundation for cross-disciplinary thinking, an approach that later influenced his research into wearable robotics and human-robot interaction. his early exploration into robotics control was solidified during his master’s program at yanshan university, where his thesis focused on developing a surface electromyography (semg) control interface for robots utilizing neural networks — an area subtly connected with signal processing techniques also applied in power electronics. further advancing his expertise, liao pursued a doctorate at nanjing university of aeronautics & astronautics, specializing in the ergonomic design and control of supernumerary robotic limbs (srls), setting the stage for significant contributions in assistive robotic technologies.

Professional endeavors

Professionally, Liao has demonstrated versatility both in academia and industry. his role as a mechanical r&d engineer at wuxi lead intelligent equipment co., ltd. involved the structural design of fully automated lithium-ion battery winding machines, a field reliant on precision motion control systems familiar in power electronics applications. subsequently, his visiting scholarship at japan advanced institute of science and technology allowed him to engage in innovative research on eeg-based image reconstruction, bridging neural signal processing and intelligent systems design. currently, Supernumerary Robotic Limbs as a lecturer at jinhua university of vocational technology, he continues to educate and inspire the next generation of engineers in the college of intelligent manufacturing.

Contributions and research focus

Liao's core research contributions revolve around the development of reconfigurable srls tailored for challenging industrial environments such as aircraft cabin maintenance. his work includes designing srl structures, proposing semg-driven reconfiguration switching methods, and formulating safety control strategies integrating imu data — techniques that intersect with control principles also seen in power electronics systems for adaptive machinery. his involvement in national and regional projects highlights his role in advancing fiber-reinforced flexible actuators and gesture recognition systems for human-robot cooperative control, enhancing the functionality and safety of wearable robotics. Supernumerary Robotic Limbs notably, his research on semg-based limb mapping and rehabilitation robotics underscores a sustained commitment to improving human-robot interaction and augmenting human capabilities.

Impact and influence

Liao's contributions have potential societal and industrial impact, especially in sectors requiring precision and safety, such as aerospace maintenance, healthcare, and advanced manufacturing. his application of semg signal processing and neural network modeling informs not only robotics but also adjacent fields like power electronics, where sensor-based adaptive control is crucial. Supernumerary Robotic Limbs by addressing ergonomic challenges and enhancing the cooperative behavior of srls, liao's research supports safer, more efficient human-machine collaboration, influencing both academic frameworks and practical technologies.

Academic cites

Through active participation in projects funded by the national natural science foundation of china and other scientific bodies, liao has contributed to several peer-reviewed publications and technical reports in wearable robotics and human-robot interaction. these works are frequently cited in the domains of intelligent control, rehabilitation technology, and emerging power electronics applications Supernumerary Robotic Limbs where signal processing and actuator control intersect. his innovative gesture recognition and control algorithms for srls continue to garner attention from scholars and engineers developing next-generation robotic and electronic systems.

Legacy and future contributions highlight

Looking ahead, liao is poised to further advance the integration of intelligent control systems into wearable robotics, potentially influencing developments in power electronics where precise, energy-efficient actuator control remains critical. his vision includes expanding the ergonomic adaptability of robotic limbs, refining semg-driven control schemes, and exploring new materials and actuator designs that bridge flexibility with robustness. these contributions are likely to inspire future innovations in assistive robotics and industrial automation, Supernumerary Robotic Limbs leaving a lasting legacy in both robotics and power electronics-driven system design.

Notable Publications

  1. Title: A novel sEMG-based force interaction strategy of supernumerary robotic limbs
    Authors: Wenjie Qu; Ziyu Liao; Tianzuo Chang; Yao Xiao; Qian Zheng; Liping Ding; Bai Chen
    Journal: Journal of Mechanical Science and Technology

  2. Title: A novel human-robot interface based on low-cost sEMG device designed for the collaborative wearable robot
    Authors: Ziyu Liao; Bai Chen; Qian Zheng; Wenjie Qu; Yao Xiao
    Journal: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

  1. Title: A Development Control and HRI of Supernumerary Robotic Limbs Based on ROS
    Authors: Qian Zheng; Ziyu Liao; Bai Chen; Tianzuo Chang; Zhicong Zhang; Hongtao Wu
    Journal: Intelligent Robotics and Applications (Book Chapter)

  1. Title: Structural Design and Stiffness Characteristics of a Passive Variable Stiffness Joint
    Authors: Keming Liu; Bai Chen; Ziyu Liao; Tianzuo Chang; Jiajun Xu; Zhendong Tu
    Journal: Intelligent Robotics and Applications (Book Chapter)

  1. Title: Optimized Walking Assistance of the Soft Exoskeleton with Twisted String Actuators
    Authors: Jiajun Xu; Kaizhen Huang; Tianyi Zhang; Ziyu Liao; Tianzuo Chang; Bai Chen; Youfu Li
    Journal: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)

Conclusion

Ziyu Liao’s research contributions are shaping the future of assistive and industrial robotics by addressing key challenges in ergonomic design, adaptability, and intelligent control. his interdisciplinary approach, blending neural signal processing with mechanical design and embedded control systems, finds resonance in modern power electronics-driven technologies that demand precision and adaptability. as wearable robotics continue to influence sectors like aerospace maintenance, healthcare, and smart manufacturing, liao's work stands to have lasting impact, paving the way for safer, more efficient human-robot collaboration. his future endeavors are expected to drive further innovation at the intersection of robotics, power electronics, and intelligent systems design.