Postdoc/PhD/MASc/MEng Graduate Research Opportunities at 

Artificial Intelligence for Aerospace Systems (AIAS) Laboratory 

Department of Aerospace Engineering

Toronto Metropolitan University, Toronto, Canada

1)  Artificial Intelligence and Machine Learning-Powered Smart Aerospace Systems

The thesis/project will focus on designing novel artificial intelligence and machine learning-based algorithms to develop smart aerospace systems. Several investigations have been conducted at the AIAS laboratory in cooperation with aerospace companies and government agencies (including NASA, Canadian Space Agency, and MHICA) on the fault diagnosis, prognosis and recovery of aerospace systems. The results on aircraft/spacecraft control systems and aircraft engines are very promising for practical applications. The proposed research aims to further enhance the performance of these algorithms using artificial intelligence, machine learning and digital twins based methodologies for real-time fault diagnosis, prognosis and recovery applications.

2)  Cutting-Edge Internet-of-Things (IoT) Devices for Smart Aerospace Systems 

In recent years, significant advancements have been made in the area of smart systems, enabled by the advent of micro-electromechanical systems (MEMS) and nanotechnologies. These technologies have led to the miniaturization of sensors and electronic components and the development of wireless sensors and sensor networks. Professor Krishna Kumar's AIAS Laboratory has made substantial progress in this field, focusing on sensing/actuation, prediction, and control. The overall goal of the proposed research is to design and develop an IoT device, with three main objectives.  Objective 1: Definition of Engineering Domain: This objective involves comprehensively analyzing the problem domain (aerospace) encountered when designing smart systems. It aims to consolidate knowledge about the emerging field of smart systems and enable future innovation. Dr. Kumar’s research on miniature wireless systems will provide the foundation for this work. Objective 2: Development of IoT Device: This objective focuses on creating a novel IoT device with an emphasis on low power consumption, high performance, and fault tolerance. Objective 3: User Graphical Interface: This objective aims to develop a graphical user interface for data visualization and analysis.

If you are interested in the above areas of research or have further queries, please contact Prof. Krishna Kumar at kdkumar@torontomu.ca

Dr. Krishna Dev Kumar, P. Eng.
Professor & Director of Artificial Intelligence for Aerospace Systems (AIAS) Laboratory

President, iSAC Systems Inc.

(a global leader in AI, IoT, and Intelligent Systems)

DAAD Visiting Professor,  the Institute of Computer Science, Julius-Maximilians-University Wuerzburg, Germany

Visiting Professor, Department of Aerospace Engineering, IIT Bombay

Co-Editor, Acta Astronautica 
Editor, Journal of the Japan Society for Aeronautical and Space Sciences
Member, International Academy of Astronautics
Associate fellow of AIAA
Canada Research Chair in Space Systems (2005-2015)

(Ranked among the top 100 scientists (73rd out of 45,833) in the world

and 1st in Canada in the field of Aerospace and Aeronautics by

Stanford University, https://lnkd.in/e_2qq-E )

Department of Aerospace Engineering

Toronto Metropolitan University (formerly Ryerson University)

350 Victoria Street, Toronto, Ontario
Canada M5B 2K3
Tel +1 416 979 5000 Ext.554908
Fax +1 416 979 5056
Email: kdkumar@torontomu.ca
http://www.torontomu.ca/~kdkumar
www.linkedin.com/in/krishna-kumar-625b7318