Dr. Maria Muzamil Memon | MEMS Sensors | Research Excellence Award

Dr. Maria Muzamil Memon | MEMS Sensors | Harbin Institute of Technology | China

Dr. Maria Muzamil Memon is a dedicated female Postdoctoral Fellow at the Harbin Institute of Technology, whose expertise bridges innovative developments in Micro-Electro-Mechanical Systems (MEMS), Surface Acoustic Wave (SAW) sensors, and microfluidic technologies with applications in advanced biomedical sensing, environmental monitoring, and smart engineering systems, demonstrating a strong commitment to impactful and cross-disciplinary scientific innovation; she successfully completed her Ph.D. in Electronic Engineering from the University of Electronic Science and Technology of China, preceded by a Master’s degree in Mechanical Engineering from the Harbin Institute of Technology and a Bachelor’s degree in Electronics Engineering from Mehran University of Engineering and Technology, where she gained a solid interdisciplinary foundation in robotics, nano tribology, flexible MEMS, and electronic packaging technologies; her professional experience includes multiple international projects involving microfluidic device fabrication, SAW sensor design and characterization, microchannel development, CNC-based mold fabrication, finite element and multiphysics simulation using COMSOL, vector network analyzer-based device analysis, and functional testing of microfluidic diagnostic chips for pressure, humidity, temperature, and viscosity measurements, while also teaching undergraduate courses and supervising students in MEMS and microfluidics laboratories; her research interests focus on the enhancement of sensing performance, flexible electronics, biomedical microdevices, and polymer-based acoustic sensors, aiming at high sensitivity, reliability, and miniaturized device integration for real-world clinical and industrial usage; she is highly skilled in MEMS fabrication processes, soft lithography, AutoCAD and SolidWorks design, polymer coating methods, sensor testing platforms, VNA measurements, layout mask design, CNC operation, and experimental guidance, supported by excellent communication, leadership, and time-management abilities; throughout her academic journey she has achieved multiple prestigious awards including Academic Achievement Awards, Excellent Performance Awards, Best Poster Presentation, and highly competitive Chinese Government Scholarships, reflecting her outstanding academic performance and impactful scientific contributions; with an expanding publication record in high-ranking IEEE and Scopus-indexed journals, she continues to make significant contributions to sensor science and device engineering; in conclusion, Dr. Maria Muzamil Memon is an ambitious and future-oriented researcher with the vision to accelerate global health technologies and smart sensing platforms through cutting-edge MEMS-based solutions, demonstrating exceptional potential for future leadership in the field of sensing technology.

Professional Profiles: ORCID | Google Scholar

Selected Publications

Memon, M. M., Liu, Q., Manthar, A., Wang, T., & Zhang, W. (2023). Surface acoustic wave humidity sensor: A review. Micromachines, 14(5), 945. 33 citations.
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. 25 citations.
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. 22 citations.
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. 21 citations.
Pan, S., Memon, M. M., Wan, J., Wang, T., & Zhang, W. (2022). The influence of pressure on the TCF of AlN-based SAW pressure sensor. IEEE Sensors Journal, 22(4), 3097–3104. 17 citations.
Pan, S., Memon, M. M., Wan, J., Wang, T., & Zhang, W. (2021). The influence of temperature on the pressure sensitivity of surface acoustic wave pressure sensor. Sensors and Actuators A: Physical, 332, 113183. 10 citations.
Liu, Q., Huang, F., Memon, M. M., Pan, S., Wang, T., Peng, B., & Zhang, W. (2022). Dependence of the Lamb wave viscosity sensor on the liquid morphology. Sensors and Actuators A: Physical, 343, 113694. 8 citations.

Prof. Chaoran Liu, Hangzhou Dianzi University, china

Chaoran Liu is a distinguished professor at Hangzhou Dianzi University, where he has been shaping the field of microelectronics and solid-electronics since January 2021. Dr. Liu earned his Ph.D. in Microelectronics and Solid-electronics from the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, in September 2017. Prior to that, he completed his Master’s in Physical Electronics and his Bachelor’s in Electronics Science and Technology at Zhengzhou University. With a career spanning both academic and practical realms, Dr. Liu’s research interests include MEMS sensors, flexible wearable sensors, triboelectric nanogenerators, smart sensor systems, and integrated circuits. His work is pivotal in advancing sensor technology and its applications, reflecting his deep commitment to innovation and excellence in the field.

Education:

Ph.D. in Microelectronics and Solid-Electronics
Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China
September 2014 – September 2017

M.E. in Physical Electronics
College of Physical Engineering, Zhengzhou University, China
September 2011 – March 2014

B.S. in Electronics Science and Technology
College of Physical Engineering, Zhengzhou University, China
September 2007 – July 2011

Publication top Notes:

A self-powered and high sensitivity acceleration sensor with V-Q-a model based on triboelectric nanogenerators (TENGs)

A silicon nanowire array biosensor fabricated by complementary metal oxide semiconductor technique for highly sensitive and selective detection of serum carcinoembryonic antigen