Nafiz Fahad | Computer Science | Best Researcher Award

Published on by Forensic Scientist

Mr. Nafiz Fahad | Computer Science | Best Researcher Award

Multimedia University | Malaysia

Mr. Nafiz Fahad is an emerging AI researcher at Multimedia University, Cyberjaya, Malaysia, recognized for his growing contributions to artificial intelligence in healthcare, computer vision, and natural language processing. His research focuses extensively on explainable AI, clinical decision support systems, and data-driven healthcare intelligence. According to Scopus, he has 19 indexed publications, 122 citations, and an h-index of 6, reflecting the influence and visibility of his scholarly work within the global research community. His scientific output spans chronic disease prediction, dementia analytics, lung disease classification, hypertension ontology development, wound-image segmentation, obesity prediction, and precision public health. These studies incorporate techniques such as deep learning, transfer learning, ensemble learning, hybrid architectures, and explainable machine learning to advance diagnostic accuracy and interpretability in medical AI systems. Beyond health-focused research, Fahad has also contributed high-impact work in fake news detection, generative AI, machine learning security, student performance prediction, agricultural disease detection, vision transformers for physics data, and federated learning enhanced with homomorphic encryption. His ongoing research extends to mental health analytics, EEG decoding models, diabetic retinopathy detection, and agentic AI solutions for healthcare innovation. Fahad’s growing academic recognition includes research awards, best paper achievements, and contributions to high-impact journals and conferences. His multidisciplinary scholarship positions him as a promising young researcher advancing applied AI at the intersection of healthcare, societal well-being, and intelligent systems.

Profiles: Scopus | Google Scholar | LinkedIn

Featured Publications

1. Ahmed, Z., Shanto, S. S., Rime, M. H. K., Morol, M. K., Fahad, N., Hossen, M. J., … (2024). The generative AI landscape in education: Mapping the terrain of opportunities, challenges and student perception. IEEE Access.

2. Mahamud, E., Fahad, N., Assaduzzaman, M., Zain, S. M., Goh, K. O. M., & Morol, M. K. (2024). An explainable artificial intelligence model for multiple lung diseases classification from chest X-ray images using fine-tuned transfer learning. Decision Analytics Journal, 12, 100499.

3. Ahmed, R., Fahad, N., Miah, M. S. U., Hossen, M. J., Morol, M. K., Mahmud, M., … (2024). A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction. Healthcare Analytics, 6, 100362.

4. Fahad, N., Goh, K. M., Hossen, M. I., Shopnil, K. M. S., Mitu, I. J., Alif, M. A. H., & Tee, C. (2023). Stand up against bad intended news: An approach to detect fake news using machine learning. Emerging Science Journal, 7(4), 1247–1259.

5. Hossain, M. N., Fahad, N., Ahmed, R., Sen, A., Al Huda, M. S., & Hossen, M. I. (2024). Preventing student’s mental health problems with the help of data mining. International Journal of Computing, 23(1), 101–108.

Shidong Liang | Quantum mechanics | Best Researcher Award

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Prof. Dr. Shidong Liang | Quantum mechanics | Best Researcher Award

Emeritus Professor, Ph.D. at Sun Yat-sen University, China

Dr. Shi-Dong Liang is a leading researcher in theoretical and condensed matter physics. His contributions to quantum mechanics and mathematical physics have been widely recognized. He developed novel approaches to non-Hermitian quantum systems and Finsler geometry in physics. His work on quantum tunneling, noncommutative physics, and topological states has influenced numerous areas of physics research. He continues to advance the understanding of quantum phenomena and their applications.

Profile

ORCID

Educational

      • Dr. Shi-Dong Liang received his Ph.D. in Physics from The University of Hong Kong in 1999. Following this, he pursued postdoctoral research at the Institute of Physics, Academia Sinica, Taiwan, from 1999 to 2001.

Professional Experience

Since 2001, Dr. Liang has been a tenured Associate Professor at Sun Yat-sen University. His research interests span theoretical condensed matter physics, theoretical physics, gravity, and mathematical physics. Over his academic career, he has published over 85 research papers and authored three books. His work is well-recognized, with an H-index of 19, reflecting significant contributions to his fields of expertise. Additionally, Dr. Liang has served as an editor for multiple special issues and collaborated on projects involving quantum geometry and uncertainty relations.

Research Interests

Dr. Liang’s recent research focuses on noncommutative quantum mechanics. He developed a theoretical framework based on the Heisenberg representation of noncommutative relations, proposing innovative methods to explain novel physical phenomena, such as particle-antiparticle asymmetry, quantum decoherence, and the nature of dark matter and dark energy. His expertise extends to condensed matter physics, quantum mechanics, gravity theory, and financial physics.

Author Metrics

  • Research Papers: 85 (Indexed in SCI and Scopus)
  • Books Published:
    1. Quantum Tunneling and Field Electron Emission Theories (World Scientific Press, 2014) [ISBN: 978-9814440219]
    2. Special Issue on New Advances in Quantum Geometry (MDPI, 2023) [ISBN: 978-3-0365-8770-7]

Publications