Turki Haj Mohamad
I'm a data scientist in system analytics at PARC's IoT Tower. My work focuses on developing algorithms for structural health monitoring using fiber optic technology.
I have a PhD in mechanical engineering from Villanova University. My doctoral work focused 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.
(May 2021) Our paper on "Application of Deep CNN-LSTM Network to Gear Fault Diagnostics" is accepted for publication at IEEE PHM 2021.
(May 2021) Received the 2021 ME department in Dynamics and Control PhD Award.
(April 2021) Our paper on "Delamination Fault Compensation in Composite Structures" is published as a proceeding to VETOMAC XV [here].
(April 2021) Serving as TPC member in PHM 2021 conference.
(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.