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.

 

Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

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Ms. Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

Doctoral Researcher  |  Kocaeli University  |  Turkey

Ms. Ayşe Tuğba Yapıcı is a dedicated doctoral researcher whose academic journey is strongly rooted in cutting-edge technologies for electric vehicles, smart energy systems, and intelligent power electronics. She has cultivated significant professional experience through her active involvement in research addressing real-world problems such as electric vehicle charging optimization, grid-integrated charging infrastructures, and advanced modeling of power converter systems. Throughout her career, she has contributed to impactful scientific studies focusing on induction heating systems, charging time prediction using deep learning, and data-driven forecasting on electric vehicle adoption and infrastructure planning. Her research interests include electric vehicle technologies, charging station design, renewable-integrated smart grids, artificial intelligence–based energy forecasting, machine learning and deep learning applications in power systems, and IoT-enhanced smart mobility frameworks. She possesses strong research skills in Python-based deep learning toolkits, MATLAB/Simulink, DigSilent PowerFactory modeling, statistical evaluation metrics, time-series forecasting, optimization algorithms, and performance analysis of intelligent systems. She has published multiple peer-reviewed articles in international SCI/Scopus-indexed journals, delivering innovative research outcomes that offer comprehensive and practical solutions for the sustainable development of electric transportation. Her research achievements include proposing an intelligent deep learning–based framework for EV charging time prediction, integrating spatial–temporal mobility parameters, and enhancing operational efficiency for fast-charging infrastructures. Her work stands out for its interdisciplinary approach and technological significance, supporting the transition toward cleaner mobility, optimized charging networks, and smart energy management. In addition to research excellence, she continues to contribute to academic and scientific communities through conference participation, collaborations, and knowledge dissemination. She aims to advance secure, intelligent, and scalable charging automation systems that support next-generation autonomous electric mobility. Her long-term vision is to shape energy-efficient transportation ecosystems, reduce environmental impacts, and contribute to the global sustainability agenda through innovation and scientific leadership. She has achieved  3 Citations , 2 Documents,  1 h-index.

Featured Publications

Yapıcı, A. T., & Abut, N. (2025, November 23). An intelligent and secure IoT-based framework for predicting charging and travel duration in autonomous electric taxi systems. Applied Sciences.

Yapıcı, A. T., Abut, N., & Yıldırım, A. (2025, October 27). Estimation of future number of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and multiple linear regression approaches. Applied Sciences.

Yapıcı, A. T., & Abut, N. (2025, August 21). Geleceğe yönelik elektrikli araç ve şarj istasyonu sayılarının LSTM ve GRU derin öğrenme yöntemleri kullanılarak tahmin edilmesi: Kocaeli ili örneği. Politeknik Dergisi.

Yapıcı, A. T., Abut, N., & Erfidan, T. (2025, April 11). Comparing the effectiveness of deep learning approaches for charging time prediction in electric vehicles: Kocaeli example. Energies.

Yapıcı, A. T., & Abut, N. (2024, September 15). Elektrikli araç şarj istasyonu konum tasarımında, Digsilent yazılımı kullanılarak Kocaeli Üniversitesi Umuttepe Kampüsü için örnek uygulama. Black Sea Journal of Engineering and Science.

Ayşe Tuğba Yapıcı’s research advances intelligent and sustainable electric mobility by integrating deep learning, smart grid technologies, and IoT-based predictive frameworks to optimize charging infrastructure and energy management. Her work supports the transition toward autonomous electric transportation, reducing environmental impacts, improving urban mobility planning, and contributing to global innovation in smart energy systems. She envisions scalable, reliable, and human-centered smart mobility ecosystems that accelerate the adoption of clean transportation worldwide.

Saint Jacques Le-Majeur MANDELOT-MATETELOT | Powertrain Engineering | Best Innovation Award

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Saint Jacques Le-Majeur MANDELOT-MATETELOT | Powertrain Engineering | Best Innovation Award

Research Scholar  |  Pan African University  |  Central African Republic

Mr. Saint Jacques Le-Majeur Mandelot-Matelot is an accomplished civil engineer and academic professional recognized for his expertise in construction management, structural engineering, and sustainable materials. With a strong foundation in civil engineering and extensive leadership experience, he has served as Managing Director of La-Résurrection, overseeing major national and international construction projects involving design, renovation, and structural optimization. His academic and professional trajectory reflects a deep commitment to enhancing infrastructure resilience and sustainability, particularly through his research on the “Effect of Ronier Fiber and Silica Fume on Mechanical and Durability Properties of High-Strength Concrete,” which explores innovative material technologies for high-performance concrete. His research interests focus on advanced construction materials, sustainable infrastructure development, project management, and water and sanitation systems. Skilled in AutoCAD, ArchiCAD, Revit, Artlantis, and Robot, he demonstrates proficiency in structural analysis, geotechnical design, and hydraulic engineering. Beyond his technical expertise, he possesses strong managerial and entrepreneurial capabilities, excelling in tender preparation, cost analysis, and multidisciplinary team coordination. His teaching experience at the University of Bangui highlights his dedication to knowledge transfer, mentoring students in both theoretical and practical aspects of civil engineering. He has published peer-reviewed research articles in reputed journals such as ETASR and Wiley, reflecting his growing contribution to scientific advancement. His professional affiliations with the Order of Civil Engineers of the Central African Republic and the Central African Entrepreneurs Association further underscore his leadership in the engineering community. Among his professional development achievements are certifications in entrepreneurship, innovation, crisis management, and leadership. Through his blend of academic rigor, field experience, and innovation-driven mindset, Mandelot-Matelot continues to contribute to the advancement of sustainable construction and infrastructure systems in Africa and beyond. He has acheived 2 Publications.

 

Profiles:  ORCID | Research Gate

Featured Publications

Mandelot-Matelot, S. J. L., Mogire, P., & Odero, B. (2025, March). Performance of alkali treated and untreated Ronier fiber (Borassus aethiopum) on mechanical and durability properties of reinforced concrete. Engineering Reports, 7(3).

Mandelot-Matelot, S. J. L., Mogire, P., & Odero, B. (2025, January 9). Mechanical and durability assessment of concrete reinforced with treated and untreated Ronier fiber (Borassus aethiopum) [Preprint].