About

Scientific breakthroughs emerge at the intersection of disciplines. Throughout my academic career, I have focused on integrating biochemistry, materials science, nanotechnology, biosensors, and artificial intelligence to develop next-generation diagnostic technologies.
For more than three decades, my research has evolved from molecular imprinting and functional polymers to AI-driven precision biosensing, where intelligent molecular recognition, advanced biomaterials, and explainable AI converge to create innovative diagnostic platforms with real-world clinical and industrial applications.
My research interests include: AI-Driven Precision Biosensing, Intelligent Molecular Recognition, Molecularly Imprinted Polymer (MIP) Technologies, Electrochemical & Optical Biosensors, Smart Biomaterials & Functional Nanomaterials, Point-of-Care Diagnostics, Precision Medicine, Translational Nanobiotechnology.
Throughout my career, I have published 150+ SCI-indexed articles, received ~4,000 citations, achieved an h-index of 36, developed 12 patented technologies, led numerous competitive research projects, and supervised 11 PhD graduates. Beyond scientific productivity, I am committed to translating fundamental research into technologies that improve healthcare and generate societal impact.
My vision is to establish internationally recognized research programs that combine artificial intelligence, intelligent molecular recognition, and advanced biosensing technologies to transform precision diagnostics.
I believe the future of diagnostics lies not only in detecting biomarkers but in developing intelligent systems capable of learning, adapting, and supporting clinical decision-making in real time. My goal is to create autonomous molecular sensing platforms that bridge laboratory discoveries with point-of-care applications, accelerating the transition toward personalized and digital healthcare.
I actively seek international collaborations with universities, research institutes, healthcare organizations, and industry partners to develop disruptive technologies at the interface of AI, molecular engineering, and translational diagnostics.
Research is most meaningful when scientific discovery becomes technology, and technology improves human life.

Employment

Education

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Publications (174)