Looking for Student Researchers?
Check here for a list of students who are interested in participating in research.
Undergraduate
Undergraduate
Christian LeeUndergraduateAlliance for Research Enterprise Excellence in STEMEstimating Fractal Dimensions of Terrain Datasets collected from spaceborne and airborne sensors offered as Digital Elevation Model(s) using Box Counting Algorithm
Hasan Al SaeediUndergraduateComputer ScienceMentor Alliance for Research Enterprise Excellence in STEM students
Jonathan HahnUndergraduateAlliance for Research Enterprise Excellence in STEMEstimating Fractal Dimensions of Terrain Datasets collected from spaceborne and airborne sensors offered as Digital Elevation Model(s) using Box Counting Algorithm
Luis HernandezUndergraduateAlliance for Research Enterprise Excellence in STEMEstimating Fractal Dimensions of Terrain Datasets collected from spaceborne and airborne sensors offered as Digital Elevation Model(s) using Box Counting Algorithm
Graduate
Graduate
Priyam MazumdarMaster of Science - MS, Statistics - AnalyticsMaster of ScienceStatisticsPhD - Electrical and Computer Engineering, REU Mentor
Tingkai LiuGraduate StudentElectrical and Computer EngineeringThesis Research: IIDAI cloud computing
Xiyue ZhuGraduate StudentElectrical & Computer EngineeringThesis Research: AI models for MRI processing
Alumni
Alumni
Aaditya Parag Kotharyhelping with ECE 120 dataset generation
Aarushi AggrwalUndergraduate StudentECECloud-based AI service for real-time actionable knowledge extraction from video
Adithya BalajiPart of team working on ECE 120 dataset generation
Arnaldo Rios RomanUndergraduateElectrical & Computer Engineering at Inter American University of Puerto RicoHuman fall detection project
Arnav DasElectrical & Computer Engineering and Computer Science
Asad KhanPhysicsConvergence of AI and HPC. Deployment and use of distributed training algorithms on HAL, Summit (Oak Ridge National Lab) and Theta (Argonne). Use of these algorithms for cosmology and multi-messenger astrophysics
Ben RabeElectrical & Computer EngineeringHyperparameter tuning and its effects on deep learning performance and generalization
Bhanu AgarwalElectrical & Computer Engineering and Computer Science
Bingkun FuUndergraduateElectrical and Computer EngineeringIndependent Study - Mitochondria segmentation project
Bryan ZhangBS, Computer Engineering
Chaturvedi PranshuComputer ScienceUsing neural networks to analyze tumors in spectroscopic biopsy tissue; biomedical image segmentation with deep learning
Chenhao LiMaster of ScienceElectrical and Computer EngineeringThesis Research: Xray analysis with vision-language models
Daniel JohnsonPhysics
Diyu LuMathematics and Computer Science
George DanielPhysics
Hangzheng LinElectrical and Computer Engineeringporting Cancer Center's models to CS-2; on HOLL-I account
Hongyu ShenElectrical & Computer EngineeringGraph nets and Bayesian nets for inference of high-dimensional signal manifolds
Jeff MaGraduate StudentElectrical and Computer EngineeringThesis Research: Smart NIC, FPGA OpenCAPI application acceleration
Jiatong LiGraduate StudentComputer ScienceCollaboration with Argonne National Laboratories: Photocarboxylation
Jiaying WuElectrical & Computer Engineering
Joseph RejiveElectrical & Computer EngineeringImplementation of Machine Learning Algorithms on FPGAs
Justin WangElectrical & Computer Engineering
Kavitha ChandrasekarCharm++ on the cloud
Ke XuComputer Science
Kevin LiIndustrial Engineering3D Reconstruction in Computer Vision; Deep Ocean Seen and Unseen Objects Detection
Lily KeComputer Science
Lisa LeungImproving quality of Einstein Toolkit Binary Black Hole Simulations
Mengshen YunElectrical & Computer EngineeringAccelerating convolution in deep neural networks on FPGAs
Mike YehComputer Science
Muhil ArumugamStatistics and Computer ScienceDevelopment of AI-based tools for visual analytics (human action recognition)
Nikil RaviMathematicsConvergence of AI and HPC. Training and optimization of AI models with applications to astrophysics, spectroscopy and cancer. Development of scalable distributed training algorithms.
Nina TrousdaleSenior-Grainger School of EngineeringIndividual Study - CSStructural Integrity Analysis Through ML Crack Segmentation
Parithimaal KarmehanImplementing with OpenCAPI framework
Parth PatelGraduate StudentComputer ScienceDevelopment and adoption of resilient federated learning algorithms
Parth TyagiComputer ScienceConvergence of AI and HPC. Training and optimization of AI models with applications to astrophysics, spectroscopy and cancer. Development of scalable distributed training algorithms.
Philip Richard ChmielowiecTransfer Learning Applications to Sub-Seasonal Machine Learning Models
Pranav KommarajuSeniorElectrical and Computer EngineeringResearch Thesis: Personalized Nutrition project
Qi LongUndergraduateECE - Zhejiang UniversitySenior Thesis: Advancing Domainâexpert LLM for Personalized Education
Rishi PatelComputer ScienceConvergence of AI and HPC. Training and optimization of AI models with applications to spectroscopy and cancer research. Development of scalable distributed training algorithms.
Rohan MarwahaMaster of Science - MS, Technology ManagementSoftware Directorate / Center for AI Innovation / Research ConsultingUIUC.chat, Cropwizard, Diamond, hpcGPT, Plants of India, ML4Bio
Rohan PrabhakarComputer Science
Sarah HabibPhysics
Seoyoung YoonGraduate StudentMSIMEnhancing Response Accuracy of an LLM-Based Teaching Assistant Tool
Shawn RosofskyPhysicsConvergence of multi-scale and multi-physics simulations and AI; ongoing work focuses on accelerating software stacks with neural nets that describe sub-grid physical processes, such as turbulence
Shilan HeANL
Shixin ChenMaster of ScienceElectrical and Computer EngineeringThesis Research: Improving LLM responses quality
Sibo WangAstronomy and Computer Science
Siddharth GuptaUndergraduatePhysicsCollaboration with Argonne National Laboratories: Photocarboxylation
Sihan ChengUndergraduateBSISNutrition Data Collection and Analysis Tool with Generative AI Integration
Sophia Witola ReyesUndergraduateBioengineering and Biomedical EngineeringPNI - Personalized Nutrition Initiative
Sruthi BhattiproluElectrical & Computer Engineering
Tanitpong LawphongpanichElectrical & Computer EngineeringInterfacing deep learning frameworks with FPGAs
Tejas Alagiri KannanUndergraduate StudentElectrical and Computer EngineeringCloud-based AI service for real-time actionable knowledge extraction from video
Wei RenComputer Science
Wei WeiPhysics
Xiwei WangElectrical and Computer Engineering
Yifei (Ray) XuUndergraduate StudentComputer ScienceDeep Learning AI analyses of the skilled and developing readers eye movements
Yifei LiUndergraduateElectrical and Computer EngineeringIndependent Study - mitochondria segmentation project
Yifeng LuoUndergraduateElectrical and Computer EngineeringIndependent Study - mitochondria segmentation project
Yuan MaElectrical & Computer EngineeringAccelerating convolution in deep neural networks on CAPI-based FPGA
Yuqi MaoElectrical & Computer Engineering
Ze YangMaster of ScienceElectrical and Computer EngineeringCollaboration with Argonne National Laboratories
Zhiwen (Jerome) YouAI Chatbot
Zicheng MaGraduate StudentElectrical and Computer Engineering, MSsource-to-source translation of MPI to RAY
Zilinghan LiElectrical and Computer Engineering
Zixin HuangComputer Science