Ziyu Liu | Emission Control Technologies | Research Excellence Award

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Assoc. Prof. Dr. Ziyu Liu | Emission Control Technologies | Research Excellence Award

Beihang University  | China

Assoc. Prof. Dr. Ziyu  Liu is a post‑doctoral research scientist in the Department of Physics at Columbia University, where he works in the Dean Lab, specializing in experimental condensed‑matter physics. His research centers on correlated phases in quantum materials, investigated through electronic transport measurements and optical spectroscopy. His interests span phenomena such as collective excitations and phase interplay in the fractional quantum Hall effect, engineering the band structure of materials via superlattice potential modulations, and developing next‑generation quantum devices using van der Waals heterostructures. Over recent years he has contributed to key experimental advances: for example, his work demonstrated high‑mobility monolayer semiconductor devices facilitating access to correlation-driven quantum phases at low charge density; he has also explored dynamic interfacial quantum dipoles in two-dimensional heterostructures, revealing a novel mechanism for hysteretic gate responses in graphene/BN-based devices — with potential implications for nanoelectronic memory and quantum‑device design. His approach combines precision device fabrication, low-temperature transport measurements, and spectroscopic techniques to probe subtle many-body effects in quantum materials. Through these efforts he advances understanding of how quantum interactions and material engineering can produce emergent quantum phenomena; his work contributes both fundamental insight into condensed-matter physics and practical pathways toward advanced quantum technologies. In conclusion, Ziyu Liu stands out as an experimental physicist bridging materials engineering, quantum‑many body physics, and device innovation — helping to push the frontier of quantum materials research through rigorous experimentation and inventive design. He has achieved 691 Citations, 59 Documents, 14 h‑index.

 Profiles:  Scopus | Research Gate

Featured Publications

Liu, Z., et al. (2026). Decoding cetane number law of key aviation fuel components: From structure–property relationships to reaction pathway analysis.

Liu, Z., et al. (2025). Microalgae biorefinery in the belt and road initiative: Opportunities for green growth.

Liu, Z., et al. (2025). Synergistic remediation of Cd-contaminated soil with biochar-sulfate reducing bacteria: Differential roles of straw- and sludge-derived biochars. Journal of Hazardous Materials.

Liu, Z., et al. (2025). Phenylboronic Acid-Modified and ROS-Responsive Polymeric Nanoparticles for Targeted Anticancer Drug Delivery. ACS Applied Nano Materials.

Liu, Z., et al. (2025). Carbon dots for reactive oxygen species modulation.

Ziyu Liu research establishes a strong scientific foundation for cleaner, more efficient aviation by linking hydrocarbon molecular structures with their ignition performance. By developing a benchmark cetane-number database and decoding structure–property–reaction pathways, the work advances the design of both traditional and sustainable aviation fuels. It improves combustion safety, enhances engine reliability, and supports global innovation in low-emission, high-performance aerospace energy systems. The vision is to accelerate the transition toward cleaner aviation through intelligent fuel engineering grounded in molecular science.

 

Feng Wang | EV Charging Infrastructure | Best Researcher Award

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Dr. Feng Wang | EV Charging Infrastructure | Best Researcher Award

Associate Professor  |  Fujian University of Technology |  China

Dr. Feng Wang is a distinguished academic and researcher recognized for his significant contributions to the fields of computer cryptography, network security, and applied mathematics. Currently serving as an Associate Professor at the College of Computer Science and Mathematics, Fujian University of Technology, he has established himself as a prominent figure in the development of secure computational frameworks and innovative cryptographic algorithms. His extensive professional experience spans teaching, research, and collaborative projects that integrate theoretical mathematics with practical applications in cybersecurity. Dr. Wang’s research focuses on computer cryptography, data privacy, and secure communication protocols within distributed and cloud-based computing environments. His scholarly work demonstrates a strong command of mathematical modeling, algorithm design, and encryption mechanisms, enabling the advancement of secure data transmission and protection techniques. He is particularly skilled in areas such as network information assurance, data encryption standards, and privacy-preserving computation, which are essential for modern information systems. Over the years, he has guided numerous students and contributed to academic excellence through publications, peer reviews, and conference participation. Dr. Wang’s dedication to advancing research in computer and network security has earned him recognition within the academic community. His research output continues to influence emerging developments in cybersecurity and applied cryptography, providing a foundation for next-generation secure computing technologies. His work reflects a balance of theoretical insight and practical relevance, aligning with the evolving challenges of global information security. Feng Wang remains committed to fostering academic innovation and interdisciplinary collaboration that bridges mathematics, computer science, and information technology. He has achieved 226 Citations , 34 Documents ,9 h-index.

Profile:  Scopus

Featured Publications

  1. Huang, Z., Wang, F., Chen, X., & Chang, C.-C. (2025). Revisiting “online/offline provable data possession” schemes. Computer Standards & Interfaces.
    Citations: 2

  2. Huang, Z., Wang, F., Chen, X., & Chang, C.-C. (2025). Reversible data hiding with secret encrypted image sharing and adaptive coding. IEEE Internet of Things Journal.
    Citations: 1

  3. Huang, Z., Wang, F., Chen, X., & Chang, C.-C. (2024). Efficient blockchain-based data aggregation scheme with privacy-preserving on the smart grid. IEEE Transactions on Smart Grid.