Yan Li | Chemistry | Best Researcher Award

Assoc. Prof. Dr. Yan Li | Chemistry | Best Researcher Award 

Fudan University | China

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🎓 Early Academic Pursuits

Dr. Yan Li began his academic journey at the University of Science and Technology of China, where he earned his Bachelor of Science in Chemistry in 2005, under the mentorship of Prof. Youcheng Liu, an esteemed academician of the Chinese Academy of Sciences. He then pursued his Ph.D. at the Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, focusing on molecular modeling and computer-aided drug design under Prof. Renxiao Wang. This rigorous training laid the foundation for his future innovations in computational drug discovery.

💼 Professional Endeavors

Dr. Li's career trajectory is marked by steady progression through prestigious research institutions. From 2010 to 2013, he served as an Assistant Research Fellow at the State Key Laboratory of Bioorganic Chemistry, and was promoted to Associate Professor in 2013. Since 2019, he has held the position of Associate Professor in the Department of Medicinal Chemistry at Fudan University, a leading institution in pharmaceutical sciences. His academic appointments reflect both trust and recognition from the scientific community.

🔬 Contributions and Research Focus

Dr. Li’s research is centered on structure-based drug design, deep learning for molecular generation, and protein-ligand/protein-protein interactions. He develops theoretical models and computational methods to accelerate lead compound discovery and optimization for drug development. His work also delves into identifying interaction patterns in protein-protein interfaces and designing novel small molecules to modulate these interactions — a promising frontier in targeting diseases such as cancer and neurodegeneration.

🏅 Accolades and Recognition

Dr. Li's scientific excellence is evidenced by a robust publication record in high-impact journals like Journal of Medicinal Chemistry, ACS Omega, J. Chem. Inf. Model., and Acta Pharmaceutica Sinica B. He is frequently invited to present at leading conferences, including the Chinese Medicinal Chemistry Symposium, ACS National Meeting, and European QSAR Symposium, highlighting the global relevance and recognition of his research.

🌍 Impact and Influence

Dr. Li’s computational methods and predictive models are widely used in both academic and industrial drug discovery. His work on hydration sites, binding affinity predictions, and molecular simulations has enhanced the precision of virtual screening pipelines. The tools and frameworks he develops are contributing to faster, more cost-effective drug discovery, influencing pharmaceutical research worldwide.

🔮 Legacy and Future Contributions

Looking forward, Dr. Li is poised to play a pivotal role in integrating AI and machine learning with drug discovery, especially in the design of multi-targeted and personalized therapies. His ongoing efforts in de novo drug design and protein interface targeting are expected to lead to significant breakthroughs in therapeutic innovation. As a mentor and thought leader, he continues to inspire a new generation of researchers in medicinal chemistry and computational biology.

Publications


  • 📄 Examining the role of tap cell in suppressing single event transient effect in 28-nm CMOS technology
    Authors: Chenyu Zhang, Yan Li, Wenfa Zhan, Wenping Geng, Ting Liang, Xiaoyang Zeng
    Journal: Microelectronics Journal
    Year: 2024


  • 📄 A Non-Redundant Latch With Key-Node-Upset Obstacle of Beneficial Efficiency for Harsh Environments Applications
    Authors: Yan Liu, Yan Li, Xu Cheng, Jun Han, Xiaoyang Zeng
    Journal: IEEE Transactions on Circuits and Systems I: Regular Papers
    Year: 2023


  • 📄 DMBF: Design Metrics Balancing Framework for Soft-Error-Tolerant Digital Circuits Through Bayesian Optimization
    Authors: Yan Li, Chao Chen, Xu Cheng, Jun Han, Xiaoyang Zeng
    Journal: IEEE Transactions on Circuits and Systems I: Regular Papers
    Year: 2023


  • 📄 Impact of Tap Cell on Single Event Transient in 28-nm CMOS Technology
    Authors: Chenyu Zhang, Chiyu Tan, Yan Li, Xu Cheng, Jun Han, Xiaoyang Zeng
    Journal: European Conference on Radiation and Its Effects on Components and Systems, RADECS
    Year: 2022


  • 📄 Pulse Quenching Effect Characterized by Inverter Chains under Heavy-ion Irradiation in 28-nm CMOS Technology
    Authors: Chiyu Tan, Yan Li, Shaohang Chu, Rongmei Chen, Xu Cheng, Jun Han, Xiaoyang Zeng
    Journal: European Conference on Radiation and Its Effects on Components and Systems, RADECS
    Year: 2022


 

Mohammad Mahdavian | Materials Science | Best Researcher Award

Prof. Mohammad Mahdavian | Materials Science | Best Researcher Award

Institute for Color Science and Technology | Iran

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🎓 Early Academic Pursuits

Prof. Mohammad Mahdavian embarked on his academic journey with a passion for polymer engineering. He earned his Bachelor's, Master's, and Ph.D. from Amirkabir University of Technology, consistently excelling in his studies. His Ph.D. research focused on evaluating azole derivatives as corrosion inhibitors, positioning him as a pioneer in chromate-free protective coatings. His academic excellence was evident in his top-ranking performance, with an impressive GPA of 3.94 in both his postgraduate degrees.

💼 Professional Endeavors

With a career spanning academia and industry, Prof. Mahdavian has played a crucial role in advancing polymer coatings and corrosion protection. He currently serves as a Professor at the Institute for Color Science and Technology (ICST), leading the Surface Coatings and Corrosion Department. His previous roles include Assistant and Associate Professorships at ICST and Sahand University of Technology, along with leadership roles in postgraduate education and international scientific collaborations. Parallel to his academic career, he has contributed to industrial innovation as a Coating Scientist at Atlas Protecting Coating (APC) and R&D Deputy at Khosh Paint Company (KPC).

🔬 Contributions and Research Focus

Prof. Mahdavian’s research is at the forefront of material science, specializing in nano-particles, polymer and silane coatings, conversion coatings, and corrosion-resistant technologies. His expertise extends to electrochemistry, metal-organic frameworks (MOFs), and layered double hydroxides (LDHs). His prolific contributions include over 200 scientific papers in esteemed international journals, solidifying his reputation as a thought leader in protective coatings. His innovative approach has led to multiple patents, including hybrid organic-inorganic corrosion inhibitors and nanocomposite coatings.

🏆 Accolades and Recognition

Prof. Mahdavian's outstanding contributions to material science have earned him widespread recognition. He has been ranked among the top 2% of scientists globally by Elsevier BV and Stanford University and acknowledged as a top reviewer by Web of Science. His research excellence has been further honored by prestigious awards, including the Distinguished Paper Award from the American Cleaning Institute and the Preeminent Scientist Award from the National Science Foundation of Iran. Additionally, he has been recognized as an Outstanding Researcher by the Ministry of Science and Technology.

🌍 Impact and Influence

Beyond research, Prof. Mahdavian has made a profound impact through mentorship and leadership. He has guided numerous MSc and Ph.D. students, fostering innovation in corrosion protection. As the Head of International Scientific Cooperation at ICST, he has facilitated global research collaborations, further amplifying his influence in the field. His teaching expertise spans various advanced subjects, including corrosion engineering, polymer coatings, and chemical reactor design, shaping the next generation of engineers and researchers.

🚀 Legacy and Future Contributions

Prof. Mahdavian’s contributions to polymer engineering and protective coatings continue to shape the future of corrosion-resistant materials. His ongoing research projects, including anti-icing coatings for wind turbines and graphene-based composite coatings, highlight his commitment to industrial innovation and sustainability. With a legacy of scientific excellence, mentorship, and groundbreaking research, he remains a visionary leader poised to drive further advancements in material science and engineering.

 

Publications


📖 Unlocking the Potential of FTIR for Corrosion Inhibition Prediction Exploiting Principal Component Analysis: Machine Learning for QSPR Modeling
Journal: Journal of the Taiwan Institute of Chemical Engineers
Year: 2025
Authors: A. Sadeghi, M. Shariatmadar, S. Amoozadeh, A. Mahmoudi Nahavandi, M. Mahdavian


📖N-Doped-GO@Zn Nano-Layers Filled Epoxy Composite with Superior Mechanical and Anti-Corrosion Properties
Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects
Year: 2024
Authors: Motahhare Keramatinia, Bahram Ramezanzadeh, Mohammad Mahdavian


📖Adiantum Capillus-Veneris Extract as a Sustainable Inhibitor to Mitigate Corrosion in Acid Solutions: Experimental, Machine-Learning Simulation, and Multiobjective Optimization
Journal: Langmuir
Year: 2024
Authors: Mahya Olfatmiri, Mohammad-Bagher Gholivand, Mohammad Mahdavian, Alireza Mahmoudi Nahavandi


📖 Falcaria vulgaris Leaves Extract as an Eco-Friendly Corrosion Inhibitor for Mild Steel in Hydrochloric Acid Media
Journal: Scientific Reports
Year: 2023
Authors: Mohammadreza Alimohammadi, Mohammad Ghaderi, S. A. Ahmad Ramazani, Mohammad Mahdavian


📖 Assessment of Synthesis Conditions on the Corrosion Inhibitive Features of ZIF-67 MOF
Journal: Surface and Coatings Technology
Year: 2023
Authors: D. Aliyari, M. Mahdavian, B. Ramezanzadeh