Liangcan He | Design of Experiments (DOE) | Research Excellence Award

Dr. Liangcan He | Design of Experiments (DOE) | Research Excellence Award

Harbin Institute of Technology | China

Dr. Liangcan He is a distinguished Professor at the School of Medicine and Health, Harbin Institute of Technology, China, where he leads advanced interdisciplinary research programs focused on biomaterials, nanomedicine, multimodal imaging, and bio-nano interface engineering. His scientific work spans the design, synthesis, and biomedical translation of organic–inorganic nanoclusters, functional nanomaterials, therapeutic hydrogels, DNA nanotechnology, and stimuli-responsive nanosystems for diagnostic and therapeutic applications. Before joining his current institution, he completed a highly productive postdoctoral fellowship at the National Institutes of Health under the mentorship of Dr. Xiaoyuan (Shawn) Chen, where he developed cutting-edge nanoplatforms for NIR-II imaging, X-ray-mediated dynamic immunotherapy, responsive nanoparticle assemblies, and cascade-reaction-based photodynamic therapy. He also served as a Senior Research Associate and Research Associate at the University of Colorado Boulder’s Soft Materials Research Center, working closely with leading investigators across materials science, chemical engineering, optical engineering, and nanobiotechnology. During this period, he contributed significantly to DNA-programmable nanoparticle crystallization, MOF-based hybrid therapeutic systems, plasmon-enhanced upconversion luminescence, single-particle photophysics, engineered UCNP–Au nanostructure assemblies, and DNA-origami-directed enzymatic cascade architectures. Dr. He received his Ph.D. in Chemistry from Tsinghua University and conducted parallel research at the National Center for Nanoscience and Technology under the supervision of Prof. Zhiyong Tang and Prof. Yadong Li, where he worked extensively on plasmonic nanoparticle@MOF core–shell systems, catalytic nanomaterials, graphene-oxide-integrated hybrid structures, yolk–shell nanostructures for controlled release, supraparticle-based photocatalysis, and chiral coordination polymer assemblies. His current research continues to advance critical frontiers such as photothermal therapy, radiosensitization, microenvironment-responsive nanoreactors, injectable biomaterials for tissue repair, bioinspired catalytic systems, and multifunctional hydrogel-based therapeutic platforms. Dr. He has authored more than 76 peer-reviewed publications, achieving over 6,130 citations and an H-index of 33, underscoring his global impact in nanobiotechnology, functional materials, and translational biomedical engineering. He has also contributed as Guest Editor for the Special Issue “Research Progress of Bioimaging Materials” in the International Journal of Molecular Sciences. With a strong interdisciplinary foundation bridging chemistry, nanoscience, materials engineering, and biomedical translation, he is recognized as a leading innovator in the development of functional nanomaterials for precision imaging, sensing, biosystem modulation, and advanced therapeutic strategies.

Profiles: Scopus Orcid

Featured Publications

Zhang, R., Ma, Q., Zheng, N., Wang, R., Visentin, S., He, L., & Liu, S. (2025). Plant polyphenol-based injectable hydrogels: Advances and biomedical applications.

Xu Ge | Statistical Applications in Engineering | Industrial Statistics Award

Mr. Xu Ge | Statistical Applications in Engineering | Industrial Statistics Award

Shanghai Jiao Tong University | China

Mr. Xu Ge is a promising researcher specializing in control science, soft sensing, and intelligent systems, currently pursuing his Ph.D. at the UM-SJTU Joint Institute, Shanghai Jiao Tong University. He earned his Bachelor’s degree in Automation from the School of Mechanical Engineering and Automation at Harbin Institute of Technology (Shenzhen), where he consistently demonstrated academic excellence and technical innovation. Throughout his academic journey, Xu Ge has been recognized with numerous honors, including the prestigious National Scholarship, Topband Enterprise Scholarship, and First-Class Academic Scholarship. His university distinctions-Outstanding Student, Outstanding CYL Member, Outstanding Graduate, and Outstanding Thesis-further highlight his commitment to excellence. Xu has achieved remarkable success in national competitions, winning the ROBOCOM National First Prize, ROBOCON National Third Prize, the National Undergraduate Smart Car Competition (Outdoor Track) National Third Prize, and the National Undergraduate Mathematics Competition Provincial First Prize. His research experience reflects a strong interdisciplinary background bridging control engineering, machine learning, and system modeling. Notably, in the NSFC project “Online Estimation of Loads and Fatigue Life Prediction of Key Chassis Components under Random Driving Conditions,” he designed a soft-sensing framework that enables high-accuracy signal estimation through data-driven models and developed an embedded system for real-world vehicle testing. His collaboration with BYD on the “New Energy Vehicles Technology Program” showcased his expertise in robotics and deep learning, where he constructed datasets from BYD blade-battery modules and integrated neural networks with classical algorithms for precise robotic welding detection and operation. Xu Ge has contributed several impactful publications, including works in Mechanical Systems and Signal Processing and IEEE Transactions on Vehicular Technology, and papers accepted for presentation at IECON 2025. His accepted and submitted research covers a wide range of topics, such as vehicle sensor optimization, kernelized modeling for wheel load estimation, and battery electrochemical parameter identification through hybrid optimization methods. With his strong foundation in algorithm design, system integration, and data-driven control, Xu Ge continues to push the frontiers of intelligent mechanical systems and vehicular sensing technologies, aspiring to develop innovative, high-performance solutions that bridge theoretical advancements with industrial applications.

Profile: Google Scholar

Featured Publications

Ge, X., Li, M., Zhou, J., Qiu, Y., & Zhang, M. (2026). MMSE noncausal FIR based wheel force soft-sensing under Bernoulli-uniform prior. Mechanical Systems and Signal Processing, 242, 113601.

Ge, X., Zhang, M., Zhou, J., Chen, W., Li, X., & Li, M. (2025). Vehicle sensor configuration optimization for tire force estimation based on Min-Max SDP. In IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society.