Academic Credentials
  • Ph.D., Electrical Engineering, Drexel University, 2022
  • M.S., Physics, Thermonuclear Synthesis Physics, National Research Nuclear University, 2015
  • B.Sc., Physics, Nuclear and Particle Physics, National Research Nuclear University, 2013
Professional Affiliations
  • Institute of Electrical and Electronics Engineers (IEEE) – Member
  • Drexel Society of Women engineers - Member

Dr. Malkova's expertise covers many aspects of electrical engineering and applied physics. Built on primary expertise in robotics, scientific modeling, and thermal/cold plasma applications, her experience and knowledge extend into power circuits, control theory, device prototyping, and data science. Dr. Malkova is fluent in finite element analysis and is proficient with tools such as MATLAB Simulink, Ansys, COMSOL, and programming languages such as MATLAB, Python, and LabVIEW. She also has experience with CAD, image processing, and design software, including SOLIDWORKS and FIJI/ImageJ software, as well as significant hands-on experience evaluating medical devices and sterilization instruments. At Exponent, she applies her expertise to help clients with various tasks ranging from technical litigation support to product development and computational modeling.

Prior to joining Exponent, Dr. Malkova worked as a machine learning engineer at Chubb. Her focus was Natural Language Processing (NLP), where the main tasks were to transform raw data, perform A/B testing, conduct prompt engineering and fine-tune customized models, and work with Microsoft Azure Cloud. 

She completed her Ph.D. in Electrical Engineering at Drexel University, where she developed a robotically assisted surgical (RAS) device to control and manipulate an untethered miniature device in soft tissue under magnetic field influence — this involved, for example, creating a control system using real-time tracking and computer vision.