Academic Credentials
  • Ph.D., Nuclear Science and Engineering, Massachusetts Institute of Technology (MIT), 2013
  • M.S., Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), 2008
  • M.S., Nuclear Science and Engineering, Massachusetts Institute of Technology (MIT), 2008
  • B.S., Physics, University of California, San Diego, 2005
Licenses & Certifications
  • PADI Certified Open Water Scuba Diver
  • Udacity Certified ML Engineer
Professional Honors
  • UCSD Physics Best Project (Winter 2005): GPS-navigated Autonomous Rover
  • UCSD Marshall College Provost's Honors
Languages
  • Armenian

Dr. Sinenian has expertise in the fields of applied physics, electrical engineering & computer science and nuclear engineering. He has advised corporate leadership and management on business and technical matters and given evidence before courts and tribunals on matters involving electronics, control systems, and electrical and power systems.  

Dr. Sinenian has experience in the analysis and design of electronic circuits and systems for a wide range of applications, including control systems and instrumentation, power electronics, and radio-frequency circuits and systems, among others. He has experience with both analog and digital systems, including integrated circuits. He has conducted investigations and design reviews of circuits and systems to assist clients during product development and manufacturing, to address the root causes of field failures, and in various contentious contexts.

In relation to electrical and power systems, Dr. Sinenian has assessed the design of power systems and the integration of power system components into either products or new or existing infrastructure. His experience includes transformers, power capacitors, circuit breakers and other protective devices, and electric motors and generators. He has experience with both electronics and electrical power systems in various sectors, including industrial processing facilities, oil & gas, transportation, and conventional, nuclear, and renewable power plants. 

Given the large amount of data generated in today's systems and processes, Dr. Sinenian also has extensive experience in applying data analytics, algorithms and machine learning to large datasets in the context of various investigations. He has experience applying clustering, regression and deep-learning techniques to large datasets to draw actionable insights and for predictive modeling applications. He has analyzed dynamic control algorithms in embedded systems and products in the context of failure analysis and assisted clients with software and signal processing related matters. He is proficient in numerous programming languages, including C, C++, Java and Python. Dr. Sinenian is actively involved in open-source software development and is the co-author of a book on data structures and algorithms.

Prior to joining Exponent, and as part of his studies, Dr. Sinenian gained research experience in the area of plasma physics and its applications in propulsion and fusion. In his earlier studies, he designed and built a novel compact radio-frequency driven plasma thruster for small satellite applications. As part of this work, he designed and built plasma diagnostics and used them to characterize the performance of the thruster with argon and nitrogen propellants. He also designed and built associated electrical systems, including radio-frequency circuits and power management systems for electric propulsion applications.

In his doctoral research, Dr. Sinenian built nuclear instrumentation and used it to study aspects of laser inertial fusion in support of the national laser fusion program. As part of this work, he led a team that built an ion accelerator laboratory and used it to develop and calibrate nuclear instruments for use on the OMEGA and the National Ignition Facility laser systems. Dr. Sinenian's dissertation focused on using measurements of fast ions produced in inertial fusion experiments to diagnose the performance of fusion implosions.