Academic Credentials
  • Ph.D., Chemical Engineering, University of Massachusetts, Amherst, 2016
  • B.S., Chemical Engineering and English, Dalian University of Technology, China, 2010
Licenses & Certifications
  • ASQ Certified Reliability Engineer
  • Certified Fire and Explosion Investigator (CFEI)
  • Certified Functional Safety Professional (ISO 26262 Automotive)
  • Certified Cybersecurity Professional and eXpert (ISO/SAE 21434)
  • Udacity Certified ML Engineer
Professional Honors
  • Ovshinsky Student Travel Award, American Physical Society March Meeting, 2015
Professional Affiliations
  • Institute of Electrical and Electronic Engineers (IEEE)
  • National Association of Fire Investigators (NAFI)
Languages
  • Mandarin

Dr. Han's expertise is in electrical and electronic systems. Her professional activities focus on electronic system design review, safety evaluation, recall-related investigations, and product liability insurance and litigation.

Dr. Han works extensively on consumer products involving electronic systems. She has deep experience with battery energy storage systems. She conducts field inspections and root cause analysis of thermal incidents and arc flash events, performs gap analysis and risk assessment, and assists her clients with design review on an ongoing basis.

Dr. Han additionally has extensive experience in computer vision. She employs color space, image analysis of 2D and 3D data, deep learning, and principal component analysis (PCA) to understand the visual world. Dr. Han has led projects ranging from imaging system design, image acquisition, and software-hardware integration to image processing and interpretation. 

Dr. Han completed her Ph.D. at the University of Massachusetts Amherst. Her research focused on numerical modeling and simulation of electron and hole transport in innovative semiconducting materials, including organic nanoparticle assemblies and hybrid perovskites, for photovoltaic devices. This involved coupled electrical and optical modeling to maximize the charge generation rate upon light exposure and photovoltaic device power conversion efficiency. She also has extensive experience in numerical modeling of species transport in ternary semiconductor quantum dots (QDs). This work provided design protocols for synthesizing thermodynamically stable ternary QDs through thermal annealing after their initial colloidal synthesis. Her Ph.D. work led to 6 publications and more than 10 conference presentations in total.

Prior to joining Exponent, Dr. Han worked as a statistical process control engineer in Intel Corporation. She has a strong background in applying state-space model and exponentially weighted moving average (EWMA) model for the development of feedforward and feedback control for 3D NAND memory production. She has significant experience with data analysis, virtual metrology development, and process control strategy development.