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.

Dr. Emily Bagarukayo | Autonomous Robot Navigation | Best Researcher Award

Makerere University | Uganda

Dr. Emily Bagarukayo is a distinguished academic, researcher, and consultant in computing and Ict, currently serving at the school of computing and informatics technology, college of computing and information sciences, Makerere university. She holds a Ph.d in information science from Radboud university Nijmegen, Netherlands, a postgraduate diploma in educational technologies from the university of cape town, a master’s in computer science from makerere university, and a bachelor’s degree in computer science (hons) from mbarara university of science and technology. She is also a research associate at the international center of it and development, southern university, USA. Her doctoral research focused on e-learning, emphasizing the role of digital learning environments and Autonomous Robot Navigation multimedia in enhancing learning outcomes through the “learning by construction approach.” her current research interests include personalized learning, instructional content development, and ict4d, with a growing focus on the impact of social software on education. she has published 11 documents, received 14 citations from 14 documents, and holds an h-index of 2. As a passionate educator, she has mentored numerous undergraduate and postgraduate students while contributing to over 36 peer-reviewed journals, conferences, and book chapters.