Dr. Maria Muzamil Memon | Robotics | Research Excellence Award

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.

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

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.

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

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.