Students nominated by their home university, accepted by IIT as degree-seeking Master’s students and who are required to complete a final project for their home university Master’s degree equivalent, may choose a 597 project if a letter grade ( A, B, C, etc) is required by the home institution or 594 if a letter grade is not required ( Pass/Fail). The research project ( Trabajo fin de Master or Projet de fin d’études) may start in the first semester of studies or in the second semester of studies depending on the Master’s degree program you are pursuing at Illinois Tech AND the research project duration (e.g. number of hours) requirements of the home university.
You may select one or two projects of interest.
To apply: – Email the project instructor by including your name, IIT Degree program, IIT CWID and briefly describing your background, motivation, and interest in participating in the project. You may select a project with a professor whose course you are taking in the first semester. Some instructors may require that you take certain courses, prior to the commencement of a project. Note that a limited number of seats are open.
You are not limited to the below projects or a project with a professor whose course you have taken, but the project you select must apply to your IIT degree program and your home university’s degree program requirements and you must have the relevant background.
To register for the project, you will need three approvals/Permits from the following :
1: Your IIT academic adviser
2: Your home university’s research project adviser/supervisor to make sure that the project credits will apply to your home institution’s degree requirements
AND
3. A permit from the IIT project instructor
Please note the following:
-
If you choose a project offered by another department, you must get the approval from your IIT academic adviser and the IIT research project instructor/professor as well as from your home university
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Once you have received the relevant approvals, you must declare your project on Degree Works via eforms as soon as possible as the Graduate College has a couple of deadlines for declaring the research project.
Armour Engineering
| Full Name | Email Address | Department | Spots Open | Project Title | Description | Relevant Majors | Website |
| Keigo Kawaji | kkawaji@iit.edu | Biomedical Engineering | 1 | 3D Radial Relaxometric Mapping Technique Development on a Low-field 64 milli-Tesla Magnetic Resonance | We propose to develop a Magnetic Resonance-based quantitative characterization technique of T1 and T2 measures on a new, first-of-kind commercial low-field MRI scanner (64mT Hyperfine Swoop system), on which we determine the feasibility and systems limits of software-based and hardware-based multi-orientation (i.e. radial rotation) acquisition that in theory can improve both spatial resolution as well as signal sensitivity (and specificity). We will investigate new experiments to better characterize unconventional contrast agent behavior (i.e. a nonlinear signal response) using the proposed combined instrumentation and analysis method | flexible | www.mrtdlab.org |
| Mohammad Heidarinejad | mheidarinejad@iit.edu | CAEE | 2 | Explore the Impacts of Air Cleaners on Indoor Air Quality and Health Outcomes | This project will focus on exploring the impacts of indoor air cleaning strategies on indoor air quality and health outcomes in different indoor settings. Specifically, the project for this semester will look into how indoor air quality and health is impacted by air cleaners deployed in the homes of people with chronic obstructive pulmonary disease (COPD). The project will also involve testing of air cleaner efficacy in laboratory and field settings. The student will work with two faculty members, one postdoc, and graduate students in assessing solutions. Students interested in indoor air quality and health implications are highly encouraged to apply to this project. | https://built-envi.com/ & https://www.iit.edu/directory/people/mohammad-heidarinejad & https://www.iit.edu/directory/people/brent-stephens | |
| Mohammad Heidarinejad | mheidarinejad@iit.edu | CAEE | 3 | Application of embedded systems and microcontrollers in buildings | This project will focus on developing low-cost steam traps and radiator valve controls solutions using microcontrollers. Students with a background in coding, prototyping, or building test circuits on breadboards will potentially work together with the current graduate students. The idea is to leverage recent developments in low-cost sensors and microcontrollers to develop and deploy smart building sensing and controls solutions, especially for our steam systems. Knowledgeable in some (not all) aspects of breadboard design to a printed circuit board (PCB), assembly and fabrication using 3D printers, programming in C/C++ or Rust for embedded systems and microcontrollers, familiarity with microprocessors, or basic scripting skills in Python or similar to help with data analysis would be beneficial. | https://built-envi.com/ & https://www.iit.edu/directory/people/mohammad-heidarinejad & https://www.iit.edu/directory/people/brent-stephens | |
| Mohammad Heidarinejad | mheidarinejad@iit.edu | CAEE | 3 | Design of the Control System for An Environmental Test Chamber | This project will focus on design, installation, and testing of control components for a teaching and research environmental chamber that is being constructed in the CAEE department. The student will work with the faculty to prepare drawings for the installation sensors, actuators, controllers and work on the communication protocol. Knowledge of building systems, controls, and instrumentation would be beneficial. | https://built-envi.com/ & https://www.iit.edu/directory/people/mohammad-heidarinejad & https://www.iit.edu/directory/people/brent-stephens | |
| Mohammad Heidarinejad | mheidarinejad@iit.edu | CAEE | 2 | Application of Computational Fluid Dynamics in Buildings | This project will focus on the application of Computational Fluid Dynamics (CFD) in buildings. The student will work with a faculty to perform indoor and outdoor CFD simulations for a variety of building applications. Knowledge of modeling and understanding of CFD would be beneficial. | https://built-envi.com/ & https://www.iit.edu/directory/people/mohammad-heidarinejad & https://www.iit.edu/directory/people/brent-stephens | |
| Mohammad Heidarinejad | mheidarinejad@iit.edu | CAEE | 2 | Building Systems Semantic Models | This project will focus on developing building systems semantic models that integrate best practices in computer science, such as knowledge representation, reasoning, machine learning techniques, with other engineering models (electrical, mechanical, architectural). So far, a list of modeling constructs and a sample semantic model for the building applications are developed and the next step is to develop a sample semantic model of a real building using existing well-established ontologies and the pieces we have so far. Knowledge of working with object-oriented programming languages (e.g., Python/Java), understanding of semantic web technologies (e.g., XML, RDF, SHACL, SPARQL), or familiarity with building mechanical systems and tools (i.e., Revit, AutoCAD) would be beneficial. | https://built-envi.com/ & https://www.iit.edu/directory/people/mohammad-heidarinejad & https://www.iit.edu/directory/people/brent-stephens | |
| Ali Oskouie | oskouie@iit.edu | CAEE | 2 | Odors and Corrosions in Sewer Conduits | Sewer conduits 9collection systems) are major underground infrastructures that carry billion of gallons of wastewater to treatment plants on daily basis. Odor nuisance to the neighboring communities is overwhelming and controlling these odors has prime importance to communities that are exposed to these sewer lines. The cost of maintenance of sewer system is enormous as these lines are buried underground sometimes at a depth of up to 50 feet. Corrosion of concrete conduits destabilizes the structure and causes inflow and infiltration. Investigation of odors and corrosions and recommending economic solution to remedy this problem can save millions on a yearly basis for a medium to large size wastewater treatment plant. In this training, the students will study relevant literature on odors and corrosions of sewer conduits, will develop list of potential remediation approaches, and may visit a few sites to observe the odors from manholes and mitigation approaches used in various locations. | civil and environmental/chemical and biological engineering | https://www.iit.edu/caee |
| Laurence Rohter | rohter@iit.edu | CAEE | 2 | Macro Lidar Map of Historic Mies IIT Campus | As a designated Trimble University Partner, we have access to their XP8 scanner with extended range. The purpose would be to use multiple setups combined with targets and other geospatial data to provide a high resolution, extensive 3d digital model twin. The area is approximately 250m by 750m comprising multiple buildings. | Engineering, Extremely Large Sized Databases | https://www.iit.edu/caee/research/research-labs-and-facilities |
| Mohammad Asadi | masadi1@iit.edu | CHBE | 3 | Electrification of the Chemical Manufacturing | Design, synthesize, test and characterization of novel catalysts and design reactors for storage of renewable energy into chemical bonds and fuels that can be used any time any places. | Masters and PhD | www.e2mdl.com |
| Hamid Arastoopour | arastoopour@iit.edu | CHBE | 1 | CO2 utilization | CO2 conversion to fuels | Chemical or Mechanical Engineers | CHBE or WISER websites |
| Sohail Murad | smurad1@iit.edu | CHBE | 2 | Separation of Gases | We use computational molecular modeling to develop efficient membrane based on membrane related methods for separating gases of industrial interest. | www.iit.edu/chbe | |
| Lin Cai | lcai11@iit.edu | ECE | 2 | Sustainable wireless IoT network | The research project will study communication and networking technologies to enable a fully energy sustainable wireless IoT network with green energy and energy transfer technologies. | CS/ECE master | http://mypages.iit.edu/~lcai11/Research.htm |
| Joohee Kim | jkim61@iit.edu | ECE | 3 | Deep learning based scene understanding for autonomous driving | 2D/3D object detection and semantic segmentation using deep learning for autonomous driving | MS/PhD | http://www.ece.iit.edu/~mmcom/ |
| Yu Cheng | cheng@iit.edu | ECE | 2 | Minimizing the Age of Information over Wireless Networks | In modern Internet of Things (IoT) systems, a variety of sensors need to transmit status update messages to remote servers where monitoring applications are located. This project aims at protocol design, algorithms development, and performance analysis to minimize the age of information received by the monitors, also termed as optimizing information freshness. | ECE/CS | http://ece.iit.edu/~yucheng/ |
| Yu Cheng | cheng@iit.edu | ECE | 2 | Machine Learning Techniques for Wireless Network Optimization | Modern wireless networks have evolved into very complex systems. The traditional modeling-oriented approaches are becoming ineffective due to the discrepancies between the mathematical tractability and the exponentially increased complexity, and may gradually fail to meet the stringent quality of service (QoS) requirements of emerging applications. This project aims to develop innovative machine learning (ML) based optimization approaches that can deliver superior system performance in real-time. We also expect to achieve a fundamental understanding of where and how the supremacy of ML based approaches comes versus the conventional modeling based approaches. | ECE/CS | http://ece.iit.edu/~yucheng/ |
| Ian Brown | ibrown1@iit.edu | ECE | 2 | Design and Prototyping of High Performance Electric Traction Motors | Transportation is undergoing an electrification revolution. High performance electric motors are one of the critical components of electric drivetrains. This project will help to develop power dense and highly efficient electric motors. Potential projects include new design optimization techniques such as topology optimization, controls and estimation, high slot fill winding technologies, mechanical structural and eigenvalue analysis, high temperature insulative coatings, and overall system thermal management design. | ECE, Mechanical Engineering, Applied Math, Chemical Engineering | http://mypages.iit.edu/~ibrown1/ |
| Francisco Ruiz | ruiz@iit.edu | MMAE | 5 | Automotive projects | 1. Adaptive Cycle Engine for heavy-duty vehicles. These engines store energy in the form of compressed air so they can be much smaller than conventional engines, for the same power, thus increasing fuel efficiency. 2. Maglev vehicles. Coils powered with AC current suffer a repulsive force if placed next to a conductive, nonmagnetic floor. This phenomenon, which happens at room temperature, can be used to propel vehicles without contact with the road. |
Mechanical, Industrial, Aerospace, Electrical | https://www.iit.edu/mmae |
| Francisco Ruiz | ruiz@iit.edu | MMAE | 2 | Physics of Human Whistling | Many people can whistle a tune, and many cannot manage to make the sound. The physics leading to a musical tone made with a person’s lips are still unknown. In this new project, students will design an experiment to test the effect of multiple parameters and come up with a plausible mechanism. | Mechanical, Industrial, Aerospace | https://www.iit.edu/mmae |
| Chen Wei | wchen66@iit.edu | MMAE | 3 | Data-driven materials design | Employ computational and machine learning approach to discovery new materials for energy and other funcational applications. | Mechanical engineering, materials engineering, physics, chemistry, etc | wmaterials.net |
| Carrie Hall | chall9@iit.edu | MMAE | 2 | Control of Engines Operating with Renewable Dimethyl Ether | We are experimentally investigating engine operation with dimethyl ether in a CI engine and developing control algorithms that can optimize its performance. This is part of a project funded by the US Department of Energy and done in collaboration with industry. | Mechanical, Electrical, Industrial Engineering | https://sites.google.com/iit.edu/advanced-engine-control |
| Heng Wang | hwang184@iit.edu | MMAE | 1 | A Thermal Battery Based on Phase Change Materials for Building Energy Efficiency | We would like to host one student to work on this project, which will develop a heat storage system with on-demand release of heat using a safe and low-cost phase change material (PCM) for building energy efficiency. Such a system could absorb heat, effectively storing it until it’s triggered to release, resembling a battery. We use large-latent-heat sugar alcohols. The significant undercooling in these materials, which has been long regarded as a disadvantage, will be exploited to lock the heat. When successful, a 600kg system could cut the energy needs of an average residential house from burning fossil fuel by 24 million BTU per year, cutting its CO2 emission by 1 ton each year, and save the homeowner from $230 to $360 in energy bill each year. The student will conduct both materials experiments and some instrumentation to build a prototype. | a masters student in materials science or mechanical engineering | https://wangheng83.wixsite.com/mysite |
| Heng Wang | hwang184@iit.edu | MMAE | 1 | A thermoelectric-powered portable cooler box for vaccine distribution | Many vaccines and biomedical supplies need to be stored at all times in narrow temperature ranges around 4 degree celsius. how to transport them, especially in small quantities, in a steady, cooled environment over a duration of multiple days is a challenge and not good solution is available today. This project will develop such a cooler box, actively cooled by thermoelectric devices to a constant temperature, with sizes similar to a large, water thermostat. The device will be self-powered for >3 days and will be cost effective (prototype cost <$100). The student will conduct device design (using finite element analysis), and then build a prototype to prove the concept. | mechanical engineering or materials science | https://wangheng83.wixsite.com/mysite |
| Aleksandar Ostrogorsky | aostrogo@iit.edu | MMAE | 3 | NASA sponsored Flight Investigation “DiGS” | Measurements of Diffusion Coefficients of Dopants in molten Ge and Si. | Mechanical engineering. Materials Engineering. Chemical engineering | MMAE Dept. My lab is at https://mypages.iit.edu/~aostrogo/ |
| Amir Mostafaei | amostafaei@iit.edu | MMAE | 2 | Additive manufacturing of metallic materials | Understanding microstructure and properties of 3D printed parts and compare results with conventionally manufactured parts | Mechanical Engineering, Materials Science | https://sites.google.com/iit.edu/amirlab/home?authuser=1 |
| Baisravan HomChaudhuri | bhomchaudhuri@iit.edu | MMAE | 2 | Energy Management of Battery Electric Vehicle | The project will focus on developing eco-driving based control strategies for thermal management and to improve the energy efficiency of battery electric vehicles (fully electric vehicles). Our lab has developed strategies for hybrid electric vehicles, and we want to explore if the same strategies (with modifications) can improve energy efficiency of battery electric vehicles. The project will also focus on developing new energy management strategies based on learning methods and optimal control. | Masters or higher | https://www.iit.edu/directory/people/baisravan-homchaudhuri |
| Baisravan HomChaudhuri | bhomchaudhuri@iit.edu | MMAE | 2 | Uncertainty quantification in boundary constrained soft robot | The project will focus on data-driven and system property based modeling of state- and control-dependent uncertainties (such as unmodeled dynamics) in dynamic systems. The uncertainty propagation of a given horizon for nonlinear systems will be learned from data and the system properties with using Gaussian Process Regression or Bayesian Neural Networks. As an example case, the proposed method will be applied to a boundary constrained soft robot — which is modeled and build in other labs at IIT. With the modeled error, stochastic model predictive controllers will be developed to control the robot. | Mechanical, electrical, computer engineering | https://sites.google.com/iit.edu/autonomous-control-systems/home |
| Scott Dawson | sdawson5@iit.edu | MMAE | 2 | Numerical simulation of flow through square ducts with swirl | This project will use direct numerical simulations to investigate flow of fluid through square ducts, where swirl (streamwise vorticity) is introduced. The effect of the swirl on the stability and dynamics of the resulting flow will be investigated. | mechanical engineering, aerospace engineering, applied mathematics, physics | https://sites.google.com/iit.edu/dawson; https://www.iit.edu/directory/people/scott-dawson |
| Ali Khounsary | akhounsa@iit.edu | Physics / Mechanical Eng | Many options | Contact Professor | https://www.iit.edu/directory/people/ali-khounsary | ||
| Carlo Segre | segre@iit.edu | Physics/MMAE | 3 | Structural studies of battery materials | We are interested in understanding the structure-function relationship in Li- and Na-ion battery materials. We perform our own synthesis, electrochemistry and x-ray structural studies using laboratory and synchrotron x-rays. | Materials Engineering, Physics, Chemistry, Chemical Engineering (others as appropriate) | http://phys.iit.edu/~segre |
| David Lampert | dlampert1@iit.edu | CAEE | 1 | Investigating PFAS transport from Groundwater to Surface Water |
This projects aims to understand the fate and transport of per- and poly-fluoroalkyl substances (PFAS) as they migrate from areas of historic release into water supplies. |
https://www.iit.edu/directory/people/david-lampert | |
| David Lampert | dlampert1@iit.edu | CAEE | 1 | Understanding the relationships between nutrients and harmful algal blooms |
This projects aims to understand the release and nutrients (nitrogen and phosphorus) into waterways and the subsequent impact on the formation of nuisance and harmful algal blooms in Lake near Chicago. |
https://www.iit.edu/directory/people/david-lampert | |
| David Lampert | dlampert1@iit.edu | CAEE | 1 | Smart stormwater management | This projects aims to develop technologies for monitoring flow and chemical concentrations in stormwater systems and then use the data to develop predictive algorithms for improved modeling and operation. |
https://www.iit.edu/directory/people/david-lampert | |
| Boyoung Jeong | bjeong1@iit.edu | CAEE | 1 | Stress relaxation behavior of granular materials. | This research project will study the time-dependent changes of soils under the stress relaxation condition. Direct shear tests will be performed with different soils, vertical loading, and initial shearing rate. | https://www.iit.edu/directory/people/boyoung-jeong | |
| Boyoung Jeong | bjeong1@iit.edu | CAEE | 1 | Soil improvement using biopolymer | This research project will study the improvement of shear resistance of biopolymer soil mixtures. Sodium alginate, water-soluble biopolymer from the cell walls of marine brown algae, will be used for the biopolymer, and the experiments will be conducted with different types of soils, biopolymer content. | https://www.iit.edu/directory/people/boyoung-jeong | |
| Ankit Srivastava | asriva13@iit.edu | MMAE | 2 | Physics Informed Neural Networks for mechanics problems | This project focuses on the development of Physics Informed Neural Networks for the solutions of PDEs in the context of mechanics (solids and fluids). The main emphasis is the development of strategies which ensure automatic satisfaction of boundary conditions and interface continuity conditions in such problems, as well as the development of domain decomposition strategies which allow us to stitch the neural network solutions over patches into a coherent solution of the full problem. The project requires prior familiarity with computational methods such as FEM as well as familiarity with open source coding languages such as python. The project also involves active collaboration with Nvidia and, as such, there is an expectation that the student will be able to learn and work with Nvidia’s PINN framework: Modulus. |
Mechanical or computer engineering | http://mypages.iit.edu/~asriva13/ |
| Ankit Srivastava | asriva13@iit.edu | MMAE | 2 | Energetics and stability of phononic crystals and metamaterials | This project focuses on the development of our understanding of the energetics and stability properties of phononic crystals and metamaterials including active structures such as PT- symmetric crystals. It involves the analysis of vibrational properties such as eigenvalues and resonances, and stability properties such as location of poles of finite systems which embed such structures. The project requires some familiarity with elements of vibration (eigenvalues, eigenvectors, modeshapes, resonant frequencies, Fourier and Laplace transforms etc.) as well as some familiarity with dynamics and control theory (stability, state space representation etc.). |
Mechanical engineering or physics | http://mypages.iit.edu/~asriva13/ |
| Louis Cattafesta | lcattafestaiii@iit.edu | MMAE | 2 | Using laser-based flow imaging techniques (PIV and PTV) with data assimilation to accurately dissect fluid flows |
The objective of this project is to fuse experimental data with numerical simulations to achieve super-resolution (i.e., spatio-temporal) of complex flows and then dissect their dynamics. The project leverages a recent breakthrough in volumetric particle tracking with dense seeding called “Shake the Box”. We utilize an instrument with a 4-pulse, 4-camera volumetric PTV system commensurate in cost and complexity to a tomo-PIV setup but more powerful and computationally simpler. This instrument provides accurate measurements of particle velocity and acceleration in a Lagrangian framework and enables a transformative data fusion approach to study complex flows. The proposed research leverages the inherent Lagrangian nature of this system and incorporates data assimilation approaches to produce super-resolution “fused” data at high spatial and temporal resolutions with quantifiable uncertainty. Specifically, we develop mesh-free approaches using, for example, scale-free radial basis functions and the estimated particle locations, velocities, and accelerations combined with the governing equations, expressed in a dynamic Lagrangian framework, and an estimation filter. Students can perform research on the instrument, the data assimilation, or apply it to a variety of complex flows. |
Mechanical or aerospace engineering or mathematics | https://www.iit.edu/directory/people/louis-cattafesta-iii |
| Ankit Srivastava | asriva13@iit.edu | MMAE | 2 | Acoustic metamaterials for aeroacoustic sound attenuation. | This project focuses on the development of phononic crystal and metamaterial architectures for the absorption of acoustic energy for aeroelastic applications. The focus will be on designing and testing single phase and multi-phase unit cells which are compact and light and can absorb sound in the O(100-3000 Hz) regime. The mitigation of this frequency regime is critical for aircraft noise applications. The project will expose the students to the concepts of acoustic/vibration analysis, Fourier transforms, optimization, and the Finite Element Method on the computational side; and data acquisition, signal processing, and acoustic-vibration characterization on the experimental side. The project requires some familiarity with numerical analysis techniques, coding with Python and/or MATLAB, a background in dynamics and the analysis of dynamical systems, and acoustics/vibration fundamentals. | Mechanical and aerospace engineering | http://mypages.iit.edu/~asriva13/ |
Lewis College of Science and Letters
| Full Name | Email Address | Department | Spots Open | Project Title | Description | Relevant Majors | Website |
| Oscar Juarez | ojuarez@iit.edu | Biology | 3 | Development of novel treatments against emerging viruses and multidrug resistant pathogens | Students will use a multidisciplinary approach to develop novel antibiotics against multi-drug resistant bacteria and emerging viruses. Through the use of computational analysis, biochemical and structural characterizations, microbiological studies, cellular and molecular biology experiments, biophysical analysis, we will design new pharmaceuticals that can target specifically essential steps in the infection or replication of viruses, and in the ebergy metabolism of pathogenic bacteria. | most science related degrees will be considered | https://sites.google.com/iit.edu/juarez-research-lab |
| Keigo Kawaji | kkawaji@iit.edu | Biomedical Engineering | 1 | 3D Radial Relaxometric Mapping Technique Development on a Low-field 64 milli-Tesla Magnetic Resonance | We propose to develop a Magnetic Resonance-based quantitative characterization technique of T1 and T2 measures on a new, first-of-kind commercial low-field MRI scanner (64mT Hyperfine Swoop system), on which we determine the feasibility and systems limits of software-based and hardware-based multi-orientation (i.e. radial rotation) acquisition that in theory can improve both spatial resolution as well as signal sensitivity (and specificity). We will investigate new experiments to better characterize unconventional contrast agent behavior (i.e. a nonlinear signal response) using the proposed combined instrumentation and analysis method | flexible | www.mrtdlab.org |
| Yuanbing Mao | ymao17@iit.edu | Chemistry | 1 | Nanophosphors for optical information storage | Digital preservation is an indispensable and important technology for the big data era. Optical information storage (OIS) as one of the most promising data storage methods has unique advantages such as high capacity, low-energy consumption, long lifetime, and high security. Optically stimulated luminescence (OSL) materials have attracted considerable attention as one of the most ideal candidate media to cope with the explosive growth of data storage demand. However, they have not been applied in practical OIS devices yet due to their unsatisfactory trap distribution and density. In this study, we propose to tailor traps of metal oxide-based ETMs with discrete and narrowly distributed energy levels. We will perform systematical studies on the nature of trap energy levels by combination of first principles calculation with spectroscopic characterization. | Chemistry, Materials Science & Engineering, BS or MS | https://www.iit.edu/directory/people/yuanbing-mao |
| David Minh | dminh@iit.edu | Chemistry | 2 | Bayesian regression and model selection for binding models | New Bayesian statistical methods will be used to estimate credible intervals for parameters in models that describe the binding of small molecules to proteins. These analyses are applicable to drug design and thereby health. Artificial intelligence will drive autonomous robotic experiments that maximize information gain. Bayes factors will be used to weigh evidence for different statistical models. | Computer science/Data science/Applied mathematics/Chemistry/Biology | http://mypages.iit.edu/~dminh/ |
| Minh David | dminh@iit.edu | Chemistry | 2 | Deep learning of mappings for free energy calculations | We will develop neural network architectures to improve free energy calculations. Free energies quantity the probability that a molecular system is in one state versus another. These predictions are a key goal of molecular simulation. | Computer science/applied math/chemistry/physics | http://mypages.iit.edu/~dminh/ |
| Rong Wang | wangr@iit.edu | Chemistry | 2 | ML- enabled label-free detection of periodontal causative oral bacteria in saliva | Periodontitis is a chronic inflammation of the periodontium caused by a persistent bacterial infection that results in the destruction of the supporting structures of the teeth. This project aims to develop an easy, fast, and sensitive method for quantitative detection of periodontal causative microorganisms in human saliva. There are various methods to detect periodontal pathogens. While effective, these detection methods involve critical preparation steps, and signal readout requires labeled reporter molecules. We have collected surface-enhanced Raman signals (SERS) of oral bacteria and applied machine learning (ML) to achieve label-free, multiplex detection. So far, with 30-s SERS collection time, we achieved 98% accuracy for detecting pure species, and 90% accuracy in mixtures of three species. In future, 1) detection method will be further improved via nano/micro fabrication and use of nanoparticles to achieve faster and more sensitive detection; 2) ML method will be further modified to improve the accuracy of the model on the current task. | Chemistry, Chemical Engineering, Computer Science, biomedical engineering | https://www.iit.edu/academics/programs/sensor-science-and-technology-ms |
| Rong Wang | wangr@iit.edu | Chemistry | 2 | Flexible and transparent silk films as matrices for wearable sensors | Wearable sensors require flexible matrices that minimize the mechanical discrepancy between abiotic/biotic interfaces and enable conformal contact with nonplanar surfaces. Built on our previous research, this project aims at developing flexible and transparent silk-based films for wearable sensors. Specifically, clear, flexible, durable and free-standing silk films will be generated. An array of microdomains, functionalized by molecular beacons, will be created on the silk film, which will be used to establish a fluorescence-based sensing platform for detecting DNAs of periodontal pathogens in saliva. Sensitivity and specificity will be optimized. It is expected that a wearable sensor is developed with the silk film employed as a conformal matrix attaching to tooth enamel for long-term monitoring of oral health. | Chemistry, biomedical engineering, chemical engineering, 2material engineering | https://www.iit.edu/academics/programs/sensor-science-and-technology-ms |
| Ali Khounsary | akhounsa@iit.edu | Physics | 20 | Various projects in these areas are available: (1) Thermal and fluidic systems, (2) Thermal management X-ray sources, techniques, optics, and instrumentation, (3) Design and analysis of mechanical and opto-mechanical, (4) Design and development of consumer and medical devices | Details available upon request. | http://science.iit.edu/people/faculty/ali-khounsary | |
| Ali Khounsary | akhounsa@iit.edu | Physics / Mechanical Eng | Many options | Contact Professor | https://www.iit.edu/directory/people/ali-khounsary | ||
| Carlo Segre | segre@iit.edu | Physics/MMAE | 3 | Structural studies of battery materials | We are interested in understanding the structure-function relationship in Li- and Na-ion battery materials. We perform our own synthesis, electrochemistry and x-ray structural studies using laboratory and synchrotron x-rays. | Materials Engineering, Physics, Chemistry, Chemical Engineering (others as appropriate) | http://phys.iit.edu/~segre |
College of Computing
| Full Name | Email Address | Department | Spots Open | Project Title | Description | Relevant Majors | Website |
| Mohammed Wasim Rafeeq Ahamed Dilshad Begum | mrafeeqahameddilshad@hawk.iit.edu | College of Computing | 2 | Not yet decided | Not yet decided | Data Science | https://www.iit.edu/academics/programs/data-science-mas |
| Gruia Calinescu | calinescu@iit.edu | Computer Science | 2 | Research in Algorithms | Design new algorithms for combinatorial optimization problems. Analysis of the running time and/or correctness is required. | Computer Science, Math, Operations Research, Industrial Engineering | www.cs.iit.edu |
| Duan Yue | yduan12@iit.edu | Computer Science | 2 | Automatic Security Testing for Blockchain Smart Contract | We aim to perform automatic security testing for smart contracts on Blockchain. The goal is to efficiently and effectively uncover the potential security issues. | Computer Science | https://www.iit.edu/computer-science |
| Wang Binghui | bwang70@iit.edu | Computer Science | 2 | Trustworthy Graph Learning; Trustworthy Federated Learning; Interpretable Graph Learning | Studying the vulnerabilities of graph neural networks and federated learning; Designing robust/privacy-preserving/interpretable/fair graph neural networks and federated learning. | Computer Science/Engineering; Applied Math; Data Science; Software Engineering | http://wangbinghui.net/ |
| Anthony Kougkas | akougkas@iit.edu | Computer Science | 2 | ChronoLog | A High-Performance Storage Infrastructure for Activity and Log Workloads | Computer Science | http://www.cs.iit.edu/~scs/ |
| Anthony Kougkas | akougkas@iit.edu | Computer Science | 2 | Hermes | Extending the HDF Library to Support Intelligent I/O Buffering for Deep Memory and Storage Hierarchy System | Computer Science | http://www.cs.iit.edu/~scs/ |
| Xian-He Sun | sun@iit.edu | Computer Science | 2 | Machine-Learning Assisted Intelligent Architectures | Modern processors employ numerous human-driven policies such as prefetching, cache replacement, data management, and memory scheduling. These techniques rely on statically designs that limit their adaptivity and extensibility. Therefore, it is necessary to develop machine-learning-assisted policies that can provide a near-ideal, robust improvement across varying workloads and system conditions. | Master | http://www.cs.iit.edu/~scs/ |
| Nik Sultana | nsultana1@iit.edu | CS and ITM | 2 | Resource virtualization in programmable networks | Reasoning about programmable network resource slices. | computer science, electrical engineering, telecom engineering | http://www.cs.iit.edu/~nsultana1/ |
