Conference Session

Engineering Technology Division (ETD) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Esteban Andres Garcia, New Jersey Institute of Technology; Joseph Trapani, New Jersey Institute of Technology; Bobby Emmanuel-Okafor; Frank Fenner, New Jersey Institute of Technology; Milad Shojaee, New Jersey Institute of Technology ; Alex Blinder; Mohsen Azizi, New Jersey Institute of Technology

Tagged Divisions

Engineering Technology Division (ETD)

include modeling, robust control, decentralized control, fault diagnosis, renewable energies, and machine learning.Alex BlinderDr. Mohsen Azizi, New Jersey Institute of Technology Mohsen Azizi is an assistant professor in the School of Applied Engineering and Technology at New Jersey Institute of Technology (NJIT). He received the M.Sc. and Ph.D. degrees in electrical and computer engineering from Concordia University, Montreal, Canada, in 2005 and 2010, respectively. From 2010 to 2013, he was an R&D engineer at Aviya Tech Inc. and Pratt & Whitney Canada Inc., Longueuil, Canada, where he designed and developed control and fault diagnosis systems for jet engines. His research has been focused on decentralized