Jiaqi Wang | Materials Science | Excellence in Research Award

Prof. Jiaqi Wang | Materials Science | Excellence in Research Award

University of Hong Kong | Hong Kong

Prof. Jiaqi Wang is a Research Assistant Professor in the Department of Chemistry at The University of Hong Kong and an Associate Research Fellow at the University of Hong Kong Shenzhen Institute of Research and Innovation. His research expertise spans molecular dynamics simulation, machine learning, and computational materials science, with a strong focus on accelerating the discovery and rational design of functional materials. With over a decade of research experience, his work bridges mechanical engineering, chemistry, and artificial intelligence, contributing to both fundamental understanding and practical innovation in materials and biomolecular systems. Since 2020, Dr. Wang has been internationally recognized for pioneering data-driven approaches to the de novo design of self-assembling peptides across extremely large chemical spaces. He developed a human-in-the-loop computational framework that significantly improved the screening accuracy of hydrogel-forming peptides, addressing long-standing challenges related to data scarcity and model reliability. His subsequent work introduced Transformer-based deep learning architectures capable of exploring peptide sequence spaces exceeding ten trillion candidates, enabling unprecedented scalability in peptide discovery. More recently, he systematically decoded aggregation rules governing short peptides across complete sequence spaces, providing a robust theoretical foundation for predictive peptide self-assembly.

Citation Metrics (Google Scholar)

700

500

300

100

0

Citations
657

Citations

Documents

h-index

View Google Scholar Profile

Featured Publications

Panagiotis Bousoulas | Materials Science | Research Excellence Award

Assist. Prof. Dr. Panagiotis Bousoulas | Materials Science | Research Excellence Award

National Technical University of Athens | Greece

Assist. Prof. Dr. Panagiotis Bousoulas is an emerging scientific leader in the field of developmental biology and epigenetics, with a research program focused on understanding novel DNA and RNA modifications and their role in neural function, development, and disease. His academic foundation spans prestigious institutions, beginning with a BSc in Medical Genetics from the University of Leicester, followed by doctoral training at the University of Cambridge, UK, where he completed PhD rotations under globally recognized pioneers, including Sir John B. Gurdon, Sarah Bray, and Azim Surani. Prior to this, he studied Physics at the University of Stuttgart, Germany—a multidisciplinary background that contributes to his systems-level scientific approach. Dr. Bousoulas’ professional trajectory includes advanced postdoctoral research at major international institutions such as the Gurdon Institute (Cambridge), Yale University, and the Broad Institute/Harvard University, where he worked with Sir John B. Gurdon, Antonio Giraldez, and John Rinn—leading authorities in developmental biology and genomics. He currently serves as a Principal Investigator at the Chinese Institute for Brain Research (CIBR), where he leads an independent research group supported by multiple competitive funding awards, including the Beijing Natural Science Foundation, Human Frontiers Long-Term Fellowship, Isaac Newton Trust, and a major BBSRC project grant exceeding £830,000. His groundbreaking work contributed to the discovery of methylated deoxyadenosine (m6dA) in vertebrate genomes, reported in Koziol et al., 2015, which opened an entirely novel field in vertebrate epigenetics. His research continues to advance global understanding of how DNA and RNA chemical modifications regulate brain development and contribute to neurological disease, with potential applications in diagnostics and therapeutics. Recognized for excellence early in his career, Dr. Bousoulas has received awards from the AAAS Science Journal, Queen Elizabeth II, the Wellcome Trust, and Cambridge European Trust. His research has significant societal impact, contributing to improved understanding of molecular mechanisms underlying brain disorders and offering potential routes toward medical innovation.

Profile: Scopus | ORCID

Featured Publications

  • (2025). Closed-loop CBRAM crossbar system toward hardware acceleration of quantum algorithms. IEEE Transactions on Circuits and Systems

  • (2025). Low-power perovskite-based memristors enable fused reservoir computing and neuromorphic vision with highly accurate color perception.

  • (2025). A physics-based compact SPICE model emulating volatile and non-volatile switching patterns to heart arrhythmia detection.

  • (2025). Highly reliable perovskite-based memristors using Ag nanoparticles/FA₂PbI₄ junctions for enhanced memory and optoelectronic synaptic performance.

  • (2025). Low-power FA₂PbI₄/SiO₂ bilayer memristors with Pt nanoparticles exhibiting reconfigurable synaptic and neuron properties for compact optoelectronic neuromorphic systems.