Majid Sharifi, Ph.D. is a technical advisor in the firm’s Chemical Patent Prosecution group, focusing on the preparation and prosecution of patent applications and providing technical consulting for a variety of domestic and international clients in a wide range of technical areas including, polymers and plastics, coatings, packaging and films, composites, nanomaterials, chemical and petro-chemical processing, molecular engineering, reaction kinetics, transport phenomena, advanced material characterization (including multi-scale spectroscopy (XRD, SAXS/WAXS, UV/Vis, IR), elemental analysis and microscopy (SEM, AFM, EDS), thermal analysis (DMA, DSC, TGA, TMA), mechanical (INSTRON, Kolsky bars) and rheological characterization), control systems, and risk assessment techniques.

Prior to joining the firm, Dr. Sharifi completed his doctoral studies in polymer science and engineering at Drexel University. His doctoral research on synthesizing polymer networks with modified topology resulted in a number of peer-reviewed journal articles and outstanding research awards which are listed herein. The high performance polymers presented in his work is currently under further investigations by a group of ARL scientists, and is claimed as the basis for the next generation of composite materials. Before graduate school, Dr. Sharifi was a safety specialist in Schlumberger (the oil service company), where he was mainly conducting risk management in the worksite location. Prior to that, he was an engineer in a service company where he was mainly providing technical support to food and pharmaceutical companies on instrumentation and control systems.

Dr. Sharifi received his undergraduate degree in Petroleum Engineering from Petroleum University of Technology in Iran. In his undergraduate, he successfully modeled a sub-plant of the Catalytic Reforming Unit in a local refinery using a computer modeling software (HYSYS). He was also interned at the National Iranian Oil Company, where he was successfully developed a methodology to optimize FMEA (a risk assessment method) using Adaptive Neuro-Fuzzy Inference Systems.


  • Drexel University (Ph.D., with distinction)
    • Chemical Engineering
  • Petroleum University of Technology (B.S.)
    • Petroleum Engineering



Professional Affiliations

  • American Chemical Society (ACS)
  • American Physics Society (APS)
  • Society for the Advancement of Material and Process Engineering (SAMPE)
  • Adhesion Society


  • Drexel outstanding doctoral dissertation award in physical and life sciences, 2015
  • Drexel outstanding PhD student in chemical engineering, 2014
  • Peebles award for advances in adhesion science, 2015
  • SAMPE University Research Symposium Award in PhD category, 2014
  • TAFDV Research Symposium Award, 2013
  • Drexel College of Engineering Dean’s Fellowship Award, 2011
  • Drexel Graduate Research Fellowship Award, 2010
  • Distinguished paper Award in 2nd Iranian National Student Article Contest, 2007


  • Farsi