Nur Intan Raihana Ruhaiyem | Machine Learning | Best Researcher Award

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Dr. Nur Intan Raihana Ruhaiyem | Machine Learning | Best Researcher Award

Senior Lecturer | Universiti Sains Malaysia | Malaysia

Dr. Nur Intan Raihana Ruhaiyem is a highly accomplished researcher and Senior Lecturer at the School of Computer Sciences, Universiti Sains Malaysia, with notable expertise in computational biology, image processing, data visualization, and artificial intelligence applications. Her research spans deep learning, computer vision, and biomedical informatics, focusing on developing intelligent systems that enhance healthcare diagnostics, cultural heritage preservation, and data-driven decision-making. She has authored over 50 scholarly publications in reputable international journals and conferences, including IEEE Access, Biomedical Signal Processing and Control, Intelligence-Based Medicine, Diagnostics (Basel), Image and Vision Computing, and Scientific Reports. Her works have collectively garnered more than 230 citations and an h-index of 7, underscoring her growing impact in the computational and data science research community. Recent contributions such as the development of Mamba-based UNet architectures for medical image segmentation and hybrid restoration models for historical murals reflect her capacity to integrate advanced AI models into multidisciplinary domains. Dr. Ruhaiyem’s collaborative research extends internationally, with partnerships involving scholars from Australia, China, and the broader ASEAN region. Her role as a technical committee member for several prominent conferences—such as the International Visual Informatics Conference and Soft Computing in Data Science—demonstrates her leadership in promoting innovation and research excellence in data science and visual analytics. A Certified Professional Trainer recognized by Malaysia’s Human Resources Development Fund, she has also played a key role in professional education, serving as a lead instructor for national Data Science Certification programs. Through her research, mentorship, and active academic engagement, Dr. Ruhaiyem contributes significantly to advancing digital transformation, fostering analytical literacy, and bridging computational intelligence with societal needs.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

1. Younis, H. A., Ruhaiyem, N. I. R., Ghaban, W., Gazem, N. A., & Nasser, M. (2023). A systematic literature review on the applications of robots and natural language processing in education. Electronics, 12(13), 2864. Citations: 75

2. Salisu, S., Ruhaiyem, N. I. R., Eisa, T. A. E., Nasser, M., Saeed, F., & Younis, H. A. (2023). Motion capture technologies for ergonomics: A systematic literature review. Diagnostics, 13(15), 2593. Citations: 63

3. Goni, M. R., Ruhaiyem, N. I. R., Mustapha, M., Achuthan, A., & Nassir, C. M. N. C. M. (2022). Brain vessel segmentation using deep learning—A review. IEEE Access, 10, 111322–111336. Citations: 42

4. Yang, J., & Ruhaiyem, N. I. R. (2024). Review of deep learning-based image inpainting techniques. IEEE Access, 12, 138441–138482. Citations: 17

5. Younis, H. A., Ruhaiyem, N. I. R., Badr, A. A., Abdul-Hassan, A. K., Alfadli, I. M., & others. (2023). Multimodal age and gender estimation for adaptive human-robot interaction: A systematic literature review. Processes, 11(5), 1488. Citations: 16

Ahmed Amin | Robotics and Automation | Best Researcher Award

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Dr. Ahmed Amin | Robotics and Automation | Best Researcher Award

Robot to clean greenhouse roofs | College of Engineering, Nanjing Agricultural University | Egypt 

Dr. Ahmed Amin Mohamed Taie is an accomplished researcher in agricultural engineering with a strong focus on agricultural robotics, solar energy applications, and greenhouse technologies. He serves as an Assistant Researcher at the Agricultural Engineering Research Institute (AEnRI), Agricultural Research Center (ARC), Giza, Egypt, where he has worked since 2014. Dr. Taie is currently completing his Ph.D. in Agricultural Engineering (June 2025) at the College of Engineering, Nanjing Agricultural University, China, under the supervision of Prof. Wang Xiaochan through a CSC scholarship. His dissertation, titled “Design and Experiment of a Robot for Cleaning Greenhouse Roofs,” exemplifies his commitment to developing innovative technologies that enhance agricultural productivity and sustainability. He also holds a Master’s degree in Agricultural Mechanization (2019) from Ain Shams University, Egypt, a Diploma in Automotive & Tractors Engineering (2018) from Helwan University, and a B.Sc. in Agricultural Mechanization (2012) from Al-Azhar University, Egypt. His research interests include agricultural robotics, machine vision, solar energy integration, greenhouse automation, agricultural mechanization, and climate change mitigation. Dr. Taie is highly skilled in CAD design (SOLIDWORKS, ANSYS), MATLAB, scientific research writing, and data analysis. He has published several impactful papers in high-quality, Scopus-indexed and IEEE-listed journals such as Journal of Field Robotics, Heliyon, Results in Engineering, and International Journal of Energy Research. His awards and honors include the 2024 Nomination Award for Scientific Research and Innovation Pioneers, Award of Excellence in the “Shen Hao Cup” Graduate Robot Design Competition, and First Prize at the Cairo Innovates Conference by the Academy of Scientific Research & Technology, Egypt. His dedication to advancing agri-tech innovation, mentorship, and sustainability positions him as an emerging leader in the field. 58 Citations | 7 Documents | h-index: 5

Profiles: Google Scholar | Scopus | ORCID  | ResearchGate

Featured Publications

Amin, A., Wang, X., Alroichdi, A., & Ibrahim, A. (2023). Designing and manufacturing a robot for dry-cleaning PV solar panels. International Journal of Energy Research, 2023. Cited by 38.

Amin, A., Wang, X., Guoxiang, S., Shi, Y., Ndumiaassan, J. N., & Okasha, M. (2024). Design and experimentation of a solar-powered robot for cleaning the greenhouse roofs. Results in Engineering, 102602. Cited by 12.

Amin, A., Wang, X., Zhang, Y., Tianhua, L., Chen, Y., Zheng, J., Shi, Y., & Abdelhamid, M. A. (2023). A comprehensive review of applications of robotics and artificial intelligence in agricultural operations. Studies in Informatics and Control, 32(4), 59–70. Cited by 9.

Chen, Y., Wang, X., Zhang, X., Xu, X., Huang, X., Wang, D., & Amin, A. (2024). Spectral-based estimation of chlorophyll content and determination of background interference mechanisms in low-coverage rice. Computers and Electronics in Agriculture, 226, 109442. Cited by 5.

Yang, Z., Amin, A., Zhang, Y., Wang, X., Chen, G., & Abdelhamid, M. A. (2023). Design of a tomato sorting device based on the multisine-FSR composite measurement. Agronomy, 13(7), 1778. Cited by 5.