Two former controls projects that were carried out in the lab are as follows: development of fuzzy automaton models for the supervisory level of flatness control for cold rolling mills, the other one is the development of a Generic Encapsulated Fuzzy Automaton Software Agent for Object Oriented Control Systems.
Another former project was the development of an Intelligent Vehicle Health Management System, using sensors, embedded systems and fuzzy logic, for light tactical vehicles in the context of Condition Based Maintenance (CBM). This research was done for TARDEC, of DOD.
Current research projects include the development of autonomous surgery skill assessment systems and fuzzy logic hardware accelerators using SoC FPGA devices. Several projects that currently underway include object identification and tracking using deep-learning (AI) methods in the context of Fundamentals of Laparoscopic Surgery (FLS) training using our Intelligent Laparoscopic Surgical Box-trainer System.
The box-trainer project is a collaborative research effort with the Department of Surgery, Homer Stryker M.D. School of Medicine, WMU. P For supporting research in the Laparoscopic Surgery Skill Assessment area, a Dataset has been created and made available, free of charge, at:
https://drive.google.com/drive/folders/1F97CvN3GnLj-rqg1tk2rHu8x0J740DpC
As our research progresses, more files will be added to this Dataset.