Asadi lab )D_190927_0755 2400x1200

ENGR 498: Building Information Modeling in Design, Construction, and Operation

Faculty: Julide Demirdoven

Description: This section provides a faculty-mentored immersive research experience as a part of a student team. Research topics are determined by the instructor’s area of research and work. 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. It is clear that BIM is the trend of the future, with increased use documented in the construction industry over 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 select their primary roles in creating a BIM team and explored the interoperability of selected tools to operate their tasks. In this creative and collaborative process, researche​r​s 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 learn how different tools and methods integrate with each other. Experience in integrating BIM—in terms of learning by doing—into the undergraduate immersive research program at Illinois Tech 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.

ENGR 498: Transportation Engineering/Public Works

Faculty: Zongzhi Li

Description: Students will learn about the magnitude, variety, and complexity of transportation as a human activity and as an engineering discipline. They'll also learn to identify and distinguish the key attributes of land-based transportation modes and identify and distinguish the planning, design, and operations phases of a transportation project. Furthermore, they'll learn to design simple transportation components, including a traffic signal system with progression, and a geographic information system (GIS) database for vehicle crash data processing, storage, analysis, and display. Students will also learn to evaluate alternatives, using appropriate measures of merit, and demonstrate the capacity for critical thought, resourceful study, and effective communication.

ENGR 498: Advanced Automotive Projects

Faculty: Francisco Ruiz

Description: We will continue ongoing research on advanced engine cycles, levitating vehicles, and "flying cars." Research includes 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: Fluorescence-Guided Surgical Microscope for Cancer Resection

Faculty: Kenneth 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: Uncovering the Building Blocks of Turbulence

Faculty: Scott T. M. 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: Rotary /Aerodynamic Modeling for Off-Design Cases

Faculty: Harry R. 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: Individual Research

Faculty: Mohammad Asadi

Description: This research focuses on developing advanced materials for energy conversion and storage applications. In energy conversion systems, students will mainly work on CO2 solar-driven reduction reaction to hydrocarbon fuels such as methane and ethylene. In the context of energy storage, this research involves 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 498: Reconfigurable Hardware Design for Signal Processing Applications

Faculty: Erdal Oruklu

Description: During the initial phase of the work, students will 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: Research in Internet of Things and Machine Vision System Design

Faculty: Jafar Saniie

Description: For this course, students join the research team at Embedded Computing and Signal Processin Research Laboratory. 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, robotics, drone navigation, target tracking systems, software defined radio, wireless health monitoring systems, and audio signal processing using FPGA, Raspberry Pi, and Arduino Embedded Computing Systems.

ENGR 498: Research in Artificial Intelligence and Deep Learning

Faculty: Jafar Saniie

Description: For this course students join the research team at ECASP Research Laboratory. 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: Building Energy Analysis for Resilient Design

Faculty: Julide Demirdoven

Description: The main research topics will include building services engineering;  sustainable and advanced building materials; energy-efficient design; high-performance based design; and 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.

ENGR 498: 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: Traction Motors for Electric Vehicles

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: Homeland Security Concerns

Faculty: Anatol Longinow

Description: This research is designed to mitigate terrorist attacks through building designs and engineering systems. 

ENGR 498: Fast Charging 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 499: Advanced Wind Tunnel Techniques for Aerospace Research

Faculty: Harry R. Smith

Description: Students will gain the opportunity to explore techniques such as infrared thermography for transition/separation detection, acoustic analysis, pressure-sensitive paint (TBC), background-oriented Schlieren, and rotary testing methods. This experience will comprise hands-on learning with the methods,  advanced data analysis techniques, and hopefully input into some real research papers.

ENGR 499: 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: Sustainable Solution for Mitigating Odors and Corrosion in Wastewater Collection Systems

Faculty: Ali Oskouie

Description: About 600,000 miles of wastewater collection systems in the United States convey wastewater from municipal, commercial, and industrial sources, in addition to rain and snow melt runoff. The televised collection lines have shown that thousands of miles of these collection lines are already corroded and will require a large investment (billions of dollars) in the near future that will place heavy burden on taxpayers. 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 course various methods of mitigating odors/corrosion in collection systems will be discussed and a potentially sustainable solution based on actual fieldwork 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 the Chicago area.

ENGR 499: Embedded System Design for Computer Vision Applications

Faculty: Erdal Oruklu

Description: Students 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: 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: 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 499: Modeling Hazardous Air Emissions from Wastewater Treatment Operations

Faculty: Ali Oskouie

Description: A majority of wastewater treatment plants receive a combined sewer flow (municipal, commercial, and industrial) that brings hazardous industrial wastes to the plants. The emissions of these hazardous chemicals in the various stages of the wastewater treatment processes needs to be calculated, and the total emissions in many instances has to be reported to Environmental Protection Agency of each state where the wastewater treatment plant is in operation. In this course, the instructor (a senior wastewater scientist) will discuss the fundamentals of the emission of hazardous chemicals and the methods of calculating such emissions to fully satisfy reporting requirements. The students will become familiar with the 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: Engineered Systems for the Development of Technology for Quantitative Tissue Oxygenation

Faculty: Marcella Vaicik

Description: Students will participate in interdisciplinary research pertaining to technical development, validation, and clinical translation of a new imaging-based biomarker of tissue oxygenation.

ENGR 499: Sustained Drug Delivery System Development

Faculty: Marcella Vaicik

Description: Students will get hands-on experience quantifying release from new drug delivery polymer platform. Additionally students will work to optimize the drug delivery platform to meet design criteria. 

ENGR 499: 3D Culture Models for MSC Differentiation

Faculty: Georgia Papavasiliou

Description: Matrix degradation induces type-dependent changes in matrix stiffness and biochemical composition which collectively influences mesenchymal stem cell (MSC) fate.  The influence of matrix degradation of MSC differentiation, however, is poorly understood. This project will elucidate the impact of matrix degradation on MSC differentiation using 3D culture models.

ENGR 598: Design with Sensors, FPGA, and Smart Phone

Faculty: Jafar Saniie

Description: Students in this course join the research team at the Embedded Computing and Signal Processing Research Laboratory, where they will have the opportunity to learn different digital hardware and software design platforms. Students will be organized into groups to propose solutions to various design problems including robotics and machine vision, working with computer network laboratory tools, sensor data collection and data management, audio filter design on FPGA, system-on-chip design using Zynq FPGA from Xilinx and ARM platform, body sensor networks, internet of things, design for collection of data from different sensors through a smartphone, and the transmission of data to an online database. 

Armour College of Engineering

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