Asadi lab )D_190927_0755 2400x1200

Research projects designed to be 100% online with remote faculty mentoring are offered starting on May 26.

These are eight-week (May 26-July 17), 3 CrHr, individual or small group research projects open to U.S. and international students at the undergraduate and master's degree level.

ENGR 498-01 Advanced Automotive Projects

Faculty: Francisco Ruiz

Description: Two main projects: 1. Maglev car, with magnetic levitation replacing the wheels, which will be entering prototype phase. 2. Adaptive Cycle Engine, which will also be entering prototype phase, starting from a MultiAir engine. Both projects involve computer analysis and the design and fabrication of new parts.

ENGR 498-02 Traction Motors for Electric Motors

Faculty: Mahesh Krishnamurthy

Description: This research will analyze the relation between machine design, power electronics and noise-vibration-harshness (NVH) analysis on motor performance. Finite element analysis (Maxwell and Ansys) and Simulink models will be developed to analyze performance and efficiency for EV traction applications.

ENGR 498-03 Fast Charging in Electric Vehicles 

Faculty: Mahesh Krishnamurthy

Description: This research will analyze the role of power electronic control and thermal management for battery packs in electric vehicles. Converter topologies and finite element simulations will be developed to analyze performance of Li-ion batteries for EV applications. Students with background in Maxwell/Ansys/Comsol are encouraged.

ENGR 498-04 Innovations in Assistive Technology

Faculty: Mahesh Krishnamurthy

Description: This research will propose and develop assistive technology solutions. Specific focus for this semester will include sensor-based solutions for mobility and visually-impaired individuals. Students with background in coding and hardware testing are encouraged.

ENGR 498-09 Uncovering the building blocks of turbulence

Faculty: Scott Dawson

Description: This project will focus on studying the properties of turbulence in fluid flows. In particular, students will implement algorithms to identify and predict statistical structures in canonical turbulent flows. Students will learn to run computational fluid dynamics codes, and apply various data analysis methods. A background and interest in fluid mechanics, mathematics and programming is desirable.

ENGR 498-10 Innovative Semiconductor Testing and Processing

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 objectives.

ENGR 498-11 BIM (Building Information Modeling) in Design, Construction and Operation

Faculty: Julide Demirdoven

Description: This research provides a faculty-mentored immersive research experience as a part of a student team. Research topics are determined by instructor’s area of research and work which is Building Information Modeling (BIM). Building Information Modeling (BIM) is a digital representation of physical and functional characteristics of a facility. As such it serves as a shared knowledge resource for information about a facility forming a reliable basis for decisions during its life cycle from inception onward. It is clear that Building Information Modeling (BIM) is the trend of the future, with increased use documented in the construction industry in the last few years. To sustain the momentum of BIM, effective workforce development that aims to balance the supply-demand equation in the labor market is essential. This opportunity consists of an experiential approach adopted to BIM-enabled learning to investigate collaboration with Building Information Models. Around many uses of BIM, the researchers selects their primary roles creating a BIM team and explored the interoperability of selected tools to operate their tasks. In this creative and collaborative process the researchers gain some skills for BIM capabilities of the integrated design project by using various opportunity materials and software licenses provided for their use in a limited time frame. This methodology allows the researchers to experience integrated design process in a realistic way and helps them to learn how different tools and methods integrate with each other. Experiences in integrating BIM in terms of learning by doing into the undergraduate immersive research program at IIT are presented and discussed through sample assignments and specific research sessions including lectures, seminars, researchers oral and poster presentations, industry partnerships, workshops and activities. The objective of this study is to educate the engineers/architects of the future who will be actively using BIM routinely.

Recommended majors
Architectural Engineering, Cartography & Survey Engineering, Civil Engineering, Construction Engineering, Control and Automation Engineering, Electrical Engineering, Energy Engineering, Engineering, Engineering Management, Environmental Engineering, Management Engineering, Technical Engineering, Environmental Sciences, Environmental Studies.

ENGR 498-12 BEM (Building Energy Modeling) in Design and Construction

Faculty: Julide Demirdoven

Description: The energy issue plays an important role in the design and operation of buildings where careful long-term decisions can significantly improve the performance of buildings and thus reduce their consumption of energy. Building Energy Modeling (BEM) is a process in the design phase which one or more building energy simulation programs use properly adjusted Building Information Models (BIMs) to conduct energy assessments for the current building design. The core goal of BEM is to inspect building energy standard compatibility and seek opportunities to optimize proposed design to reduce structure's life-cycle costs through (1) saving time and costs by obtaining building and system information automatically from BIM model instead of inputting data manually, (2) improving building energy prediction accuracy by auto-determining building information such as geometries, volumes precisely from BIM model, (3) helping with building energy code verification, and (5) optimizing building design for better building performance efficiency and reduce building life-cycle cost. This paper presents an experiential approach adopted to BIM-enabled learning to investigate building performance with BIMs. This methodology (1) allows the students to experience a BIM learning module namely performance and optimization module; and (2) helps them to learn how BEM tools and Building Performance Analysis (BPA) methods integrate with each other. Experiences in integrating BIM in terms of learning by doing into a graduate level course and an undergraduate immersive research program at IIT are presented and discussed through sample assignments and specific research sessions including lectures, seminars, researcher oral and poster presentations, industry partnerships, workshops and activities. The objective of this study is to educate the future engineers/architects who will be actively using BIMs in BPA routinely. The main research topics will include (1) building services engineering, (2) sustainable and advanced building materials, (3) energy-efficient design, (4) high performance-based design, and (5) building codes and social studies. This opportunity consists of an experiential approach to investigate building energy models and use building performance analysis tools and software. Experiences of researchers through learning by doing into the undergraduate immersive research program at IIT are presented and discussed through sample assignments and specific research sessions including lectures, seminars, researcher oral and poster presentations, industry partnerships, workshops and activities. This research creates a professional interface between architects and engineers, to prepare the researchers to be capable of acting as interpreter in the complicated and fragmented world of construction. This skill is highly appreciated by the industry leaders.

Recommended majors
Architectural Engineering, Cartography & Survey Engineering, Civil Engineering, Construction Engineering, Energy Engineering, Engineering, Engineering Management, Engineering Physics, Engineering Technology, Environmental Engineering, Geological Engineering, Management Engineering, Materials Engineering, Mechanical Engineering, Mechanical Engineering Related, Metallurgical Engineering, Surveying Engineering, Technical Engineering, Chemistry, Environmental Sciences, Environmental Studies

ENGR 498-14 Reconfigurable Hardware Design for Signal Processing Applications

Faculty: Erdal Oruklu

Description: Students will study embedded system development targeting signal processing and/or video processing applications. During the initial phase of the work, students learn about field programmable gate array devices (FPGAs) and complete several tutorials running on Xilinx FPGA boards. These tutorials include hardware/software co-design examples, custom peripheral interface design such as HDMI output and VHDL programming. After this initial exposure, students choose a topic such as ultrasonic flaw detection or video processing application and work on the hardware implementation running on a reconfigurable platform.

ENGR 498-15 Rotary aerodynamic modelling for off-design cases

Faculty: Harry Smith

Description: The basics of blade-element, through lifting-line, and free-wake models will be covered in a fast introduction to the field. The students will build their own codes using Python and MATLAB, and explore reduced-order models for propeller performance in off-design cases. Correlation with experimental methods from concurrent experiments will be performed.

ENGR 498-16 Pathway analysis using multidimensional omics data

Faculty: Abhinav Bhushan

Description: We are living in the age of big data. Whereas different biological datasets are available, there is a lack of data that concurrently measure transcriptome and metabolome. We have generated unique experimental data to fill this gap. The goal of class will be to learn about the different datasets and develop algorithms to utilize these data and develop testable hypotheses.

ENGR 498-17 Data analysis for Alzheimer’s

Faculty: Abhinav Bhushan

Description: There has been a rapid increase in the incidence of Alzheimer’s, a disease for which there is no diagnosis or cure. We have data from a prospective clinical study that has recorded hundreds of biomarkers with Alzheimer’s as the primary outcome. The goal of this class will be to develop or use existing algorithms to analyze this dataset.

ENGR 498-18 Synthetic biology

Faculty: Abhinav Bhushan

Description: The goal of this class will be to use synthetic biology principles to develop biosensors that can modulate the function of cells that can be used to model diseases. Students will learn about cutting- edge biotechnology aspects such as CRISPR and implement in their work.

ENGR 498-19 Biosensors

Faculty: Abhinav Bhushan

Description: The goal of this class will be to develop point-of-care devices for measuring biomarkers that can diagnose diseases. These include technologies that can be included in our daily lifestyle such as wearables, smart tattoos, and smart glasses.

ENGR 498-20 Realtime monitoring biosensor

Faculty: Abhinav Bhushan

Description: This class is suitable for all engineering disciplines. The goal of this class will be to learn about and develop automatic feedback process control to regulate levels of biochemical compounds such as proteins, drugs, and small molecules in vivo. Such a technology would, for example, allow researchers to treat pharmacokinetic variability as an experimentally controllable parameter, enabling studies of the reproducibility of therapeutic outcomes when such variability is effectively eliminated. It would likewise enable the accurate simulation of human pharmacokinetics in animal models, rendering them better mimics of human physiology.

ENGR 498-21 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 499-01 Sustainable Solution for Mitigating Odors and Corrosion in Wastewater Collection Systems

Faculty: Ali K. Oskouie

Description: About 600,000 miles of wastewater collection systems in US convey wastewater from municipal, commercial and industrial sources in addition to rain and snow melt runoff. Thousands of miles of these collection lines are already corroded and will require very large investment (billions of dollars) that will put heavy burden on tax payers. Various methods to slow down the continuation of corrosion in wastewater conduits is explored by the instructor and other researchers and practitioners in the world. In this class, various methods of mitigating odors/corrosion in collection system will be discussed and potential sustainable solution based on actual field work will be explored. A tour of a collection system of a large wastewater treatment plant will be arranged by the instructor. The instructor is a professional with a major wastewater treatment plant in Chicago area.

ENGR 499-02 Modeling Hazardous Air Emissions from Wastewater Treatment Operations

Faculty: Ali K. Oskouie

Description: Majority of wastewater treatment plants receive combined sewer flow (municipal, commercial, and industrial) that brings hazardous industrial wastes to the treatment plants. The emissions of these hazardous chemicals in various stages of wastewater treatment processes needs to be calculated and the total emissions in many instances has to be reported to Environmental Protection Agency (EPA) of each state where the wastewater treatment plant is in operations. In this class, the instructor (senior wastewater scientist) will discuss fundamentals of emission of hazardous chemicals and methods of calculating such emissions to fully satisfy the reporting requirements for these emissions. The students will become familiar with overall wastewater treatment processes, significance of air emissions, and modeling approaches to determine the emissions. National and international Civil and environmental consultants as well as other energy industries (power plants, petroleum, renewable energy, etc.) are constantly looking for qualified graduates in this field.

ENGR 499-06 Embedded System Design for Computer Vision Applications

Faculty: Erdal Oruklu

Description: Students enrolled in ENG 499 will study embedded system development with applications targeting computer vision. During the initial phase of the work, students learn about field programmable gate array devices (FPGAs) and complete several tutorials running on Xilinx FPGA boards. These tutorials include hardware/software co-design examples, custom peripheral interface design such as HDMI output and VHDL programming. After this introductory phase, students will begin developing computer vision applications.

ENGR 499-11 Microfluidics

Faculty: Abhinav Bhushan

Description: Our lab has created organ on chip modules for several tissue types including liver, adipose, and gut. We are now increasing the complexity of the microfluidics. The goal of this class will be to generate advanced microfluidic device for different applications. Students will learn CAD, design, and fabrication techniques such as additive manufacturing and lithography.

ENGR 598-02 Electric Drives for Electric Vehicles

Faculty: Mahesh Krishnamurthy

Description: This research group will research design of electric machines (using Finite Element Analysis) and control of electric drives (circuit-level) for application in electric vehicles. Students with proper background will also have an opportunity to design and physically test controllers for motor control including PCB design.

ENGR 598-03 Fast Charging of Li-ion Batteries

Faculty: Mahesh Krishnamurthy

Description: This research will analyze the role of power electronic control and thermal management for battery packs in electric vehicles. Converter topologies and finite element models will be developed for Li-ion batteries in EV applications. Students with background in Ansys/Comsol softwares are encouraged.

ENGR 598-04 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 598-05 Sensors for health

Faculty: Abhinav Bhushan

Description: This class is suitable for all engineering disciplines. The goal of this class will be to learn about and develop automatic feedback process control to regulate levels of biochemical compounds such as proteins, drugs, and small molecules in vivo. Such a technology would, for example, allow researchers to treat pharmacokinetic variability as an experimentally controllable parameter, enabling studies of the reproducibility of therapeutic outcomes when such variability is effectively eliminated. It would likewise enable the accurate simulation of human pharmacokinetics in animal models, rendering them better mimics of human physiology.

ENGR 598-06 Big data in biomedical research

Faculty: Abhinav Bhushan

Description: We are living in the age of big data. Whereas different biological datasets are available, there is a lack of data that concurrently measure transcriptome and metabolome. We have generated unique experimental data to fill this gap. The goal of class will be to learn about the different datasets and develop algorithms to utilize these data and develop testable hypotheses. For example, there has been a rapid increase in the incidence of Alzheimer’s, a disease for which there is no diagnosis or cure. We have data from a prospective clinical study that has recorded hundreds of biomarkers with Alzheimer’s as the primary outcome. We can use the class to develop or use existing algorithms to understand this dataset.

ENGR 598-07 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.

ENGR 599-02 Water Desalination and Purification Technologies

Faculty: Sohail Murad

Description: Examine different technologies available for treatment of water and design a system for a chosen specific application. This could include for example sea water, arsenic contaminated water, etc.

Armour College of Engineering

10 West 33rd Street | Perlstein Hall, Suite 224 | Chicago, IL | 60616
312.567.3009