Special Research Immersion Sections designed for international students offered 100% online starting on July 13.
These are four-week (July 13-August 7), 3 CrHr, individual or small group research projects (undergraduate and master's degree level) open to international students pursuing a degree at any of our university's partner institutions.
Note: The undergraduate 400-level projects are not open to students who wish to obtain credits toward the Illinois Tech degree.
ENGR 494-01 Aerosol Science and Technology
Faculty: Ali K. Oskouie
Description: This course is designed to provide fundamental understanding of the importance of aerosols in the environment. Aerosols are identified as one of the major contributors to mortality due to heart attacks and various other medical conditions. Industrialized countries are concerned about the emission of aerosols and dramatic health impacts on children and elderly. The health related impact of aerosols should be investigated through identification and measurement of properties of aerosols. This is a unique course that prepares students for cutting edge innovative research work in inhalation toxicology and air pollution control system design. Professor Oskouie has developed a unique algorithm to identify aerosol properties that has never been determined by other scientists in the world, and he will discuss the steps necessary to understand aerosols and find methods to mitigate their impact.
ENGR 494-02 Research in Internet of Things and Machine Vision System
Faculty: Jafar Saniie
Description: For this course students join the research team at ECASP Research Laboratory (Embedded Computing and Signal Processing, http://ecasp.ece.iit.edu/ ). Students will have the opportunity to employ a combination of signal and image processing design tools such as Matlab and OpenCV and will be organized into groups to propose solutions to various Internet of Things problems. Students' projects will include Machine Vision, Artificial Intelligence, Robotics, Drone Navigation, Software Defined Radio, Wireless Health Monitoring Systems, and Audio Signal Processing using FPGA, Raspberry Pi, and Arduino Embedded Computing Systems.
ENGR 494-03 Research in Artificial Intelligence and Deep Learning
Faculty: Jafar Saniie
Description: For this course students join the research team at ECASP Research Laboratory (Embedded Computing and Signal Processing, http://ecasp.ece.iit.edu/ ). Students will have the opportunity to employ a combination of signal and image processing design tools such as Matlab, TensorFlow, Python and OpenCV and will be organized into groups to propose solutions to various Artificial Intelligence and
Deep Learning problems. Students' projects will include Machine Vision, Robotics, Drone Navigation, and Wireless Health Monitoring Systems using Smart Phones.
ENGR 494-04 Research in Transportation Engineering/Public Works
Faculty: Zongzhi Li
Description: Explain the magnitude, variety, and complexity of transportation/public works as a human activity and as an engineering discipline. Identify and distinguish the key attributes of land-based transportation modes. Identify and distinguish the planning, design, and operations phases of a transportation/public works project. Design simple transportation components, such as a traffic signal system with progression. Evaluate alternatives, using appropriate measures of merit. Demonstrate the capacity for critical thought, resourceful study, and effective communication. Identify other courses in IIT's transportation/public works programs that will meet the student's educational objective
ENGR 494-05 Development of Medical Devices
Faculty: Abhinav Bhushan
Description: Did you know that majority of engineers are hired by medical device companies? Healthcare remains the fastest growing sector in the US. The goal of this class will be to learn about medical device innovation. In this experiential-learning class, students will develop their ideas for medical devices all the way from conceptualization to FDA regulations and manufacturing, thus completing a comprehensive product-development cycle. Prototype development is expected.
ENGR 598-10 Research in Artificial Intelligence for Computer Vision
Faculty: Jafar Saniie
Description: Students will have the opportunity to research neural networks and deep learning concepts for Machine Vision, Robotic Automation, Drone Navigation, Autonomous Vehicles, Factory Automation, and Home/Office Security. Students will employ software and hardware design tools including Matlab, TensorFlow, Python, OpenCV, FPGA, Raspberry Pi, and Smart Phone in their design projects. For additional information visit ECASP (Embedded Computing and Signal Processing, http://ecasp.ece.iit.edu/ ) Research Laboratory.