Tian Lan | Computational Neuroscience | Excellence in Research Award

Published on by Neuroscientists

Dr. Tian Lan | Computational Neuroscience | Excellence in Research Award

Dr. Tian Lan | Dalian Maritime University | China

Tian Lan is a dedicated PhD candidate at Dalian Maritime University, specializing in the integration of artificial intelligence with advanced engineering applications. With a strong academic foundation and an emerging research profile, Tian has published several high-quality SCI papers as the first author in respected journals including  showcasing a consistent commitment to innovative problem-solving and high-impact scientific contributions. His research focuses on leveraging AI-driven models to enhance performance, sustainability, and reliability across energy systems and marine engineering technologies. Tian has participated in multiple research initiatives that explore intelligent optimization, data-driven prediction, and system modeling, contributing meaningful advancements to interdisciplinary engineering solutions. He works collaboratively with scholars across institutions, engaging in joint studies and technical discussions that strengthen the practical relevance of his work. Tian’s growing academic influence is supported by professional memberships and a presence on international research platforms, reflecting both his credibility and engagement with the scientific community. With continuous involvement in applied research, emerging innovations, and collaborative development, Tian remains committed to advancing artificial intelligence applications and contributing to the broader scientific and engineering landscape through rigorous inquiry and impactful scholarship.

Profile: Orcid

Featured Publications

Tan, X., Wang, D., Sun, P., & Lan, T. (2026). A triad framework for ship carbon reduction: Direct CO₂ measurement, multi-intelligence fusion prediction, and Cauchy-enhanced speed optimization. Applied Ocean Research.

Lan, T., Huang, L., Cao, J., Ma, R., Zhao, H., Ruan, Z., Wu, J., Li, X., & Wang, K. (2025). A pioneering approach for improving ship operational energy efficiency: The quantitative application of deep learning interpretable results. Applied Energy.

Lan, T., Huang, L., Ruan, Z., Cao, J., Ma, R., Wu, J., Li, X., Chen, L., & Wang, K. (2025). Multilevel parallel integration framework for enhancing energy efficiency of wing-assisted ships based on deep learning and intelligent algorithms: Towards a smarter and greener shipping. Applied Energy.

Lan, T., Huang, L., Ma, R., Wang, K., Ruan, Z., Wu, J., Li, X., & Chen, L. (2024). A robust method of dual adaptive prediction for ship fuel consumption based on polymorphic particle swarm algorithm driven. Applied Energy.

Lan, T., Huang, L., Ma, R., Ruan, Z., Ma, S., Li, Z., Zhao, H., Wang, C., Zhang, R., & Wang, K. (2024). A novel method of fuel consumption prediction for wing-diesel hybrid ships based on high-dimensional feature selection and improved blending ensemble learning method. Ocean Engineering.

Han, Z., Lan, T., Han, Z., Yang, S., Dong, J., Sun, D., Yan, Z., Pan, X., & Song, L. (2019). Simultaneous removal of NO and SO₂ from exhaust gas by cyclic scrubbing and online supplementing pH-buffered NaClO₂ solution. Energy & Fuels.

Han, Z., Gao, Y., Yang, S., Dong, J., Pan, X., Lan, T., Song, L., Yan, Z., Sun, D., & Ning, K. (2019). NO removal from simulated diesel engine exhaust gas by cyclic scrubbing using NaClO₂ solution in a rotating packed bed reactor. Journal of Chemistry.

Basant Farag | Computational Neuroscience | Best Innovation Award

Published on by Neuroscientists

Dr. Basant Farag | Computational Neuroscience | Best Innovation Award

Dr. Basant Farag | Zagazig University Faculty of Science | Egypt

Basant Farag is a dedicated Egyptian organic chemist whose work focuses on the synthesis and biological evaluation of diverse heterocyclic ring systems using modern and versatile synthetic routes. As a Lecturer of Organic Chemistry, she specializes in designing and preparing organic molecules with significant industrial and pharmacological potential, while also integrating computational chemistry approaches to enhance structural prediction and activity evaluation. Her academic pathway includes substantial experience as both a Teaching Assistant and Assistant Lecturer, where she contributed to lecture preparation, student instruction, exam evaluation, and the development of research-led teaching environments. Basant has established a strong publication record, reflected in 409 citations, an h-index of 13, and an i10-index of 18, demonstrating her growing impact in the fields of organic synthesis and medicinal chemistry. She has served extensively as an international reviewer for numerous reputable journals, covering areas such as bioorganic chemistry, molecular structure, drug design, biological macromolecules, oncology research, and chemical sciences, highlighting her expertise and recognition in the global scientific community. Her research contributions span synthetic organic chemistry, biological screening, and mechanistic analysis, with many of her works addressing the development of bioactive compounds with promising therapeutic importance.

Profile: Google Scholar

Featured Publications

Abolibda, T. Z., Fathalla, M., Farag, B., Zaki, M. E. A., & Gomha, S. M. (2023). Synthesis and molecular docking of some novel 3-thiazolyl-coumarins as inhibitors of VEGFR-2 kinase. Molecules, 28(2), 689.

Ibrahim, M. S., Farag, B., Al-Humaidi, J. Y., Zaki, M. E. A., Fathalla, M., & Gomha, S. M. (2023). Mechanochemical synthesis and molecular docking studies of new azines bearing indole as anticancer agents. Molecules, 28(9), 3869.

Gomha, S. M., Riyadh, S. M., Alharbi, R. A. K., Zaki, M. E. A., Abolibda, T. Z., & Farag, B. (2023). Green route synthesis and molecular docking of azines using cellulose sulfuric acid under microwave irradiation. Crystals, 13(2), 260.

Hussein, A. M., Gomha, S. M., El-Ghany, N. A. A., Zaki, M. E. A., Farag, B., … (2024). Green biocatalyst for ultrasound-assisted thiazole derivatives: Synthesis, antibacterial evaluation, and docking analysis. ACS Omega, 9(12), 13666–13679.

Al-Humaidi, J. Y., Gomha, S. M., El-Ghany, N. A. A., Farag, B., Zaki, M. E. A., … (2023). Green synthesis and molecular docking study of some new thiazoles using terephthalohydrazide chitosan hydrogel as eco-friendly biopolymeric catalyst. Catalysts, 13(9), 1311.

Mokbel, W. A., Hosny, M. A., Gomha, S. M., Zaki, M. E. A., Farag, B., El Farargy, A. F., … (2024). Synthesis, molecular docking study, and biological evaluation of new thiadiazole and thiazole derivatives incorporating isoindoline-1,3-dione moiety as anticancer and …. Results in Chemistry, 7, 101375.

Gomha, S. M., Abolibda, T. Z., Alruwaili, A. H., Farag, B., Boraie, W. E., … (2024). Efficient green synthesis of hydrazide derivatives using L-proline: Structural characterization, anticancer activity, and molecular docking studies. Catalysts, 14(8), 489.

Gomha, S. M., El-Sayed, A. A. A. A., Alrehaily, A., Elbadawy, H. M., Farag, B., … (2024). Synthesis, molecular docking, in silico study, and evaluation of bis-thiazole-based curcumin derivatives as potential antimicrobial agents. Results in Chemistry, 7, 101504.

Abolibda, T. Z., El-Sayed, A. A. A. A., Farag, B., Zaki, M. E. A., Alrehaily, A., … (2025). Novel thiazolyl-pyrimidine derivatives as potential anticancer agents: Synthesis, biological evaluation, and molecular docking studies. Results in Chemistry, 13, 102008.

Alzahrani, A. Y. A., Gomha, S. M., Zaki, M. E. A., Farag, B., Abdelgawad, F. E., … (2024). Chitosan–sulfonic acid-catalyzed green synthesis of naphthalene-based azines as potential anticancer agents. Future Medicinal Chemistry, 16(7), 647–663.