Gina Cody Research and Innovation Fellowships Recipients
These researchers have been selected for the Gina Cody Research and Innovation Fellowships to support their research and innovation projects with the potential to build meaningful partnerships with industrial and government agencies.
2023-2024 fellowship recipients
Khaled Galal |
Mohsen Ghafouri |
Govind Gopakumar |
Abdelwahab Hamou-Lhadj |
Mahdi Hosseini |
Jerin John |
Ida Karimfazli |
Sébastien Le Beux |
Arash Mohammadi |
Fuzhan Nasiri |
Nhat Truong Nguyen |
Jinqiu Yang |
Previous recipients
Nizar Bouguila Professor, Concordia Institue for Information Systems Engineering AI for Historical Tourism |
Tse-Hsun Chen Assistant Professor, Computer Science and Software Engineering Intelligent Software Development in Continuous Integration |
Mojtaba Kheiri Assistant Professor, Mechanical, Industrial and Aerospace Engineering Fluid-Structure Interactions in Soft Surgical Robots for Minimally Invasive Surgery |
Yan Liu Associate Professor, Electrical and Computer Engineering Recommend Proactive Planning Strategy Based on Heterogeneous Spatial-Temporal Data |
Suryadipta Majumdar Assistant Professor, Concordia Institute for Information Systems Engineering Security Monitoring for Autonomous Smart Things in IoT: Application to Smart Cities |
Farnoosh Naderkhani Assistant Professor, Concordia Institute for Information Systems Engineering Advanced and intelligent quality control and CBM frameworks via high-dimensional and multi-modal streaming sensory data |
Muthukumaran Packirisamy Professor, Mechanical, Industrial and Aerospace Engineering Noninvasive Remote Distance Printing of Body Parts inside Body using Direct Sound Printing |
Ahmed Soliman Associate Professor, Building, Civil, and Environmental Engineering 5G-Friendly Eco-Building Materials for Smart Cities |
Yang Wang Associate Professor, Computer Science and Software Engineering Learning AI Models for Edge-Device Applications via Cloud-Edge Collaboration |
Zhibin Ye Professor, Chemical and Materials Engineering Developing Novel Polyolefin Oils for Fluid-Based Accommodating Intraocular Lenses |
Wei-Ping Zhu Professor, Electrical and Computer Engineering Machine Learning-Enhanced RF Sensing for 5G and beyond Wireless Networks |