Turki Haj Mohamad
I am an engineer, researcher and data scientist. I currently work as a data scientist at PARC while finishing my PhD in Mechanical Engineering at Villanova University.
My doctoral work focuses on developing novel hybrid algorithms for predictive maintenance using a combination of nonlinear dynamics, mathematical modeling and machine learning.
I have a strong background in mathematics, statistics, dynamic system analysis, data analytics and many programming languages. I am passionate about developing and implementing innovative machine learning algorithms integrated with my engineering knowledge, to solve complex problems.
(February 2021) Our paper on "Early Detection of Cracks in a Gear Train System Using Proper and Smooth Orthogonal Decompositions" is accepted for publication at NODYCON 2021.
(February 2021) Passed my PhD dissertation defense.
(January 2021) Joined PARC as a data scientist in system analytics.
(October 2020) Joined Strados Labs as a part-time data scientist.
(October 2020) Selected to be chair of "Deep Learning Methods and Applications" session at the PHM 2020 conference [Learn more].
(August 2020) Book chapter accepted for publication on delamination fault compensation in composite structures.
(July 2020) Dr. Nataraj and Turki Haj Mohamad filed a provisional patent that covers novel fault diagnostic algorithms.
(May 2020) VCADS leads team to develop low-cost ventilator [Forbes].
(May 2020) Book chapter published on proper and smooth orthogonal decompositions for detection of inner race defects in bearings [here].
(April 2020) Journal paper accepted on fault identification and severity analysis of rolling element bearings [here].
(April 2020) Work with Siemens was accepted at the AIChE conference 2020, San Francisco.