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Research projects that combine online/remote mentoring and on-campus laboratory work are offered starting on June 15.

These are eight-week (June 15-August 8), 3 CrHr projects that required some research laboratory access.

These are offered as individual or small group research projects and are open to domestic and international students (both undergraduate and master's level projects) who can be on campus after June 15.

Note: If research laboratories are still closed by June 15, an alternative plan will be offered to modify the project to be conducted/mentored remotely for as long as it may be needed (including the entire period, if necessary).

ENGR 498-06 Research in Internet of Things and Machine Vision System Design

Faculty: Jafar Saniie

Description: For this course students join the research team at ECASP Research Laboratory (Embedded Computing and Signal Processing). 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 498-07 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 498-08 Fluorescence-guided surgical microscope for cancer resection

Faculty: Ken Tichauer

Description: The students will work as a team to design and develop a multi-channel fluorescence optical imaging system optimized for identifying fluorescently labeled cancerous tissue in a surgical field. Students will be exposed to modern aspects of molecular imaging in cancer: including an introduction to technological advancements in system development, image reconstruction, and data analysis.

ENGR 498-13 Individual research

Faculty: Mohammad Asadi

Description: My research focus on developing advanced materials for energy conversion and storage applications. In energy conversion system I mainly work on CO2 solar-driven reduction reaction to hydrocarbon fuels such as methane and ethylene. In the context of energy storage, I am working on lithium-air batteries known as next generation of energy storage due to having an order of magnitude higher energy density compared to conventional lithium ion batteries.

ENGR 499-03 Data driven modeling and control of connected and autonomous vehicles

Faculty: Baisravan HomChaudhuri

Description: This project will involve developing control algorithms for autonomous vehicles and data driven modeling of human-driven vehicles. The algorithms will be applied in a simulation environment involving unity 3D, SUMO, and MATLAB/ python.

ENGR 499-09 Cell-free protein synthesis

Faculty: Seok Hoon Hong

Description: Compared to cell-based protein production, cell-free protein synthesis (CFPS) provide engineering flexibility to maximize target protein production yield. Utilizing CFPS platforms, toxic proteins or unnatural proteins can be synthesized without cell-viability concerns. In this project, optimization of CFPS will be studied to produce novel functional proteins.

ENGR 499-10 Controlling antibiotic tolerant pathogens

Faculty: Seok Hoon Hong

Description: Occurrence of multi-drug resistant bacteria has been a serious threat in our society. Bacteria can survive under conventional antibiotics treatment by developing survival strategies. This project investigates antimicrobial chemicals to see whether the chemicals can be developed as antibiotic alternatives.

ENGR 598-01 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.

ENGR 599-01 Alternative Fuels for Advanced Engines

Faculty: Carrie Hall

Description: Cleaner and more efficient power production is needed for heavy-duty vehicles. In this project, we'll explore the impact that alternative fuels have on pollutant production and fuel efficiency in a dual-fuel engine that utilizes an advanced combustion strategy.

ENGR 599-04 Developing Advanced materials for electrochemical energy systems and devices

Faculty: Mohammad Asadi

Description: Design, synthesize, test and characterization of novel materials for storage of renewable energy into chemical bonds and fuels that can be used any time any places.

ENGR 599-03 Innovative semiconductor testing and processing

Faculty: Heng Wang

Description: If labs are not open by June 15 topic changes to "performance simulation of novel thermoelectric"

Two opportunities are offered, one is to explore a semiconductor that is processed as metals: cold-rolled, forged etc., we will study how properties change and how we build devices using these processes. the second is to design, build and automate a semiconductor test system that performs novel electrical tests on semiconductors.

Armour College of Engineering

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