Dr. Maria Muzamil Memon | Robotics | Research Excellence Award

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Dr. Maria Muzamil Memon | Robotics | Research Excellence Award

Harbin Institute of Technology | China

Dr. Maria Muzamil Memon is a dedicated researcher and postdoctoral fellow at the Harbin Institute of Technology, China, specializing in micro-electro-mechanical systems , microfluidics, and flexible sensor technologies. she earned her Phd in electronic engineering from the university of electronic science and technology of China, where she focused on aln-based surface acoustic wave sensors and significantly improved pressure sensitivity through innovative structural design, validated via comsol-based finite element analysis. Her academic journey includes a master’s degree in mechanical engineering from Harbin institute of technology and a bachelor’s degree in electronics engineering from Mehran University of engineering and technology. Throughout her career, she has worked extensively on microfluidic chip fabrication, biomedical device development, and multiphysics simulations, Robotics while also supervising undergraduate and postgraduate students. Dr. Memon has received multiple prestigious awards, including several academic achievement and excellent performance awards from UESTC, and she is a two-time recipient of the Chinese government scholarship. her research impact is reflected in 141 citations, an h-index of 7, and 6 documented publications, i10-index, demonstrating her growing influence in the fields of mems sensors, sensing materials, and microfluidic systems.

Profile: Google Scholar

Featured Publications

Memon, M. M., Liu, Q., Manthar, A., Wang, T., & Zhang, W. (2023). Surface acoustic wave humidity sensor. Micromachines, 14(5), 945.

Memon, M. M., Hongyuan, Y., Pan, S., Wang, T., & Zhang, W. (2022). Surface acoustic wave humidity sensor based on hydrophobic polymer film. Journal of Electronic Materials, 51(10), 5627–5634.

Memon, M. M., Pan, S., Wan, J., Wang, T., & Zhang, W. (2021). Highly sensitive thick diaphragm-based surface acoustic wave pressure sensor. Sensors and Actuators A: Physical, 331, 112935.

Memon, M. M., Pan, S., Wan, J., Wang, T., Peng, B., & Zhang, W. (2022). Sensitivity enhancement of SAW pressure sensor based on the crystalline direction. IEEE Sensors Journal, 22(10), 9329–9335.

Memon, M. M., Pan, S., Wan, J., Wang, T., Peng, B., & Zhang, W. (2022). Sensitivity enhancement of SAW pressure sensor based on the crystalline direction. IEEE Sensors Journal, 22(10), 9329–9335.

Prof. Dr. Xiangyang Sun | Assistive Technologies for the Disabled | Best Researcher Award

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Prof. Dr. Xiangyang Sun | Assistive Technologies for the Disabled | Best Researcher Award

Changchun University | China

Prof. Dr. Xiangyang Sun, a distinguished professor with a Ph.d. in instrument science and technology and postdoctoral research in optical engineering, has made significant contributions to the fields of intelligent robotics and human–machine interaction. With years of dedicated research experience, he has led and completed several high-impact projects funded by the Jilin provincial department of education, the ministry of education’s “Chunhui Plan,” and the jilin provincial department of science and technology. His notable research includes advancements in machine vision system calibration, Assistive Technologies for the Disabled, non-contact inspection technologies, projection optics-based online detection, and visual tracking for rehabilitation assistance. In recent years, his work has extended to the development of sign language interactive robots designed to aid individuals with hearing and movement impairments. Dr. Sun has published over 30 academic papers, reflecting a strong commitment to innovation and scholarly excellence, and has applied for 7 invention patents in related technological domains. his research has been cited 86 times across 80 documents, with 26 publications contributing to an impressive h-index of 5. Through his interdisciplinary approach and impactful research, Dr. Sun continues to advance the frontiers of intelligent robotics, optical sensing, and assistive technology for societal benefit.

Profile: Scopus

Featured Publications

Sun, X. (2025). Research on eye-tracking control methods based on an improved YOLOv11 model. Sensors (Basel, Switzerland).

Sun, X. (2025). Research on an eye movement control method based on an improved YOLO algorithm. Conference paper.

Dr. Nadia De Maio | Assistive Technologies for the Disabled | Best Researcher Award

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Dr. Nadia De Maio | Assistive Technologies for the Disabled | Best Researcher Award

University of Naples Federico II | Italy

Dr. Nadia De Maio is a Ph.d. student in mind, gender and languages at the department of humanities, University of Naples Federico II, where she also serves as a licensed clinical psychologist and psychotherapist in training. Her research integrates clinical psychology with digital innovation, exploring how artificial intelligence and technology can enhance psychological well-being and professional practice. currently, she is engaged in several interdisciplinary projects, including the design of virtual coaches based on machine learning and linguistic representations for supporting young individuals with chronic illnesses, in collaboration with the University of Padua. She also contributes to projects investigating clinicians’ well-being and professional identity during the digital transition, particularly in Assistive Technologies for the Disabled in online psychotherapy platforms. Her international collaborations include research on risk and protective factors in anxiety disorders and psychological well-being among patients with type 1 diabetes. Nadia’s academic output includes 3 published documents, which have collectively received 4 citations, reflecting her growing contribution to the evolving field of digital mental health. with an h-index of 1, she demonstrates a developing but promising research impact. Combining clinical expertise and technological innovation, Nadia De Maio represents a new generation of researchers shaping the intersection of psychology, digital health, and artificial intelligence.

Profiles: Scopus | Orcid

Featured Publications

Margherita, G., Caffieri, A., & De Maio, N. (2024, June). When the algorithm “matches” us: The experiences of early‐career psychologists on online platform services for psychotherapy and counselling in Italy. Counselling and Psychotherapy Research, 24(2), 1–12.

Margherita, G., Caffieri, A., Lenzo, V., Quattropani, M. C., De Maio, N., Franceschini, C., & Musetti, A. (2023, October 11). The “echo effect” of the pandemic in dreaming experience: A mixed-method study on contents, structure, and functions. International Journal of Dream Research, 16(2), 179–189.

Caffieri, A., De Maio, N., & Margherita, G. (2023). Accogliere il disagio e promuovere il benessere 3.0: L’esperienza di giovani psicologi nelle piattaforme online. In Atti del 14º Congresso Nazionale di Psicologia della Salute (SIPSA).

Prof. Hsin-Yuan Chen | Smart Robot | Best Researcher Award

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Prof. Hsin-Yuan Chen | Smart Robot | Best Researcher Award

Zhejiang University | China

Prof.  Hsin-Yuan  Chen is a distinguished Chang Jiang Scholar Professor and director at the center of digital technology entrepreneurship and innovation, Zhejiang University, China, and serves as an adjunct distinguished professor at Patil University, India. She holds a Ph.d. in aerospace engineering from national Cheng Kung university, where she also earned her bachelor’s degree through a direct Ph.d. program. With extensive academic and industrial experience, Dr. Chen has held key positions including professor and dean at Fujian normal university, and ai chief technology officer at Geosat technology and mobiletron electronics. her expertise spans artificial intelligence, robotics, big data, cloud computing, Smart Robot and digital innovation. She has authored 78 scholarly documents, which have collectively received 1,761 citations from 1,556 sources, achieving an h-index of 27, reflecting her significant academic impact. her exceptional contributions have been recognized globally through prestigious honors such as the IET fellowship, Asean fellowship, global top engineers medal, and multiple international awards in ai, cloud technology, and robotics. a respected editor and reviewer for numerous international journals, Dr. Chen continues to advance interdisciplinary innovation in digital transformation, artificial intelligence, and emerging technologies worldwide.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Sharma, C., Chanana, N., & Chen, H.-Y. (2025, June). Mapping the evolution: A bibliometric analysis of employee engagement and performance in the age of artificial intelligence-based solutions. Information, 16(7), 555.

Chen, H.-Y., Sharma, K., Sharma, C., & Sharma, S. (2024, November 9). Advancements in handwritten Devanagari character recognition: A study on transfer learning and VGG16 algorithm. Discover Applied Sciences. Springer Nature.

Chen, H.-Y. (2023). Artificial intelligence robots and fuzzy logic – Robotics – AI – ICT. Scientific Journal Impact Factor.

Chen, H.-Y. (2023). Blockchain and cryptocurrency: A bibliometric analysis. Journal of Advanced Computational Intelligence and Intelligent Informatics, 27(6), 822–832.

Chiang, Y.-F., Lin, I.-C., Huang, K.-C., Chen, H.-Y., Ali, M., Huang, Y.-J., & Hsia, S.-M. (2023). Caffeic acid’s role in mitigating polycystic ovary syndrome by countering apoptosis and ER stress triggered by oxidative stress. Biomedicine & Pharmacotherapy, 166, 115327.

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.