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Students

funded projects

Funded
Eklavya TyagiUndergraduateECEAI-based workflow management
Eric ModesittUndergraduate StudentCSAI Workflow
Hao HuangUndergraduateGeis College of businessVyriad {rpject
Joshua Kyungil MinGraduate StudentInformation ScienceUIUC.chat - Core Development
Kai KaradiUndergraduateComputer EngineeringPNI - Personalized Nutrition Initiative
Ruixin HanGraduate StudentMSIMAI Chatbot - core development
Sophia Witola ReyesUndergraduateBioengineering and Biomedical EngineeringPNI - Personalized Nutrition Initiative
Vignesh SrinivasakumarMaster of ScienceComputer ScienceAmazon
Vira KasprovaUndergraduateComputer ScienceUIUC.chat
Wentao YaoGraduate StudentComputer ScienceTRANS-IPIC
Zihan LiGraduate StudentMSIMNutrition Data Collection and Analysis Tool with Generative AI Integration

Thesis/Independent Study Projects

Independent
Aditya SinhaMaster of ScienceComputer ScienceCaterpillar
Bryan ZhangUndergraduateElectrical and Computer EngineeringFPGA acceleration
Chenhao LiMaster of ScienceElectrical and Computer EngineeringThesis Research: Three-dimensional image reconstruction and inpainting with NLP
Diqing ZuoUndergraduateElectrical and Computer EngineeringFPGA acceleration
Dou Hoon KwarkGraduate StudentMSCSCS MS Thesis - Computer Vision and Artificial Intelligence
Jeff Ma headshot
Jeff MaGraduate StudentElectrical and Computer EngineeringThesis Research: Smart NIC, FPGA OpenCAPI application acceleration
Maxwell A LindseyMaster of ScienceComputer ScienceThesis Research: Extending uiuc.chat for educational purposes
Nina TrousdaleSenior-Grainger School of EngineeringIndividual Study - CSStructural Integrity Analysis Through ML Crack Segmentation
Pranav KommarajuSeniorElectrical and Computer EngineeringResearch Thesis: Personalized Nutrition project
Seon Mi ChoMaster of ScienceComputer ScienceCaterpillar
Shixin ChenMaster of ScienceElectrical and Computer EngineeringThesis Research: RLAIF - working with AICE team
Tingkai LiuGraduate StudentElectrical and Computer EngineeringThesis Research: cloud bursting, RAY with Charm++
Xiyue ZhuGraduate StudentElectrical & Computer EngineeringThesis Research: volumetric multi-region segmentation, DARPA map project
Yifei SongMaster of ScienceElectrical and Computer EngineeringThesis Research: Ray framework for HPC
Yue YuanMaster of ScienceElectrical and Computer EngineeringThesis Research: transformation from MPI tasks to Ray tasks
Yurii HalychanskyiDoctoral StudentComputer ScienceSpeech correction with AI
Ze YangMaster of ScienceElectrical and Computer EngineeringThesis Research: LLM-based framework to enhance the early detection of MFS

Alumni

Alumni
helping with ECE 120 dataset generation
Undergraduate StudentECECloud-based AI service for real-time actionable knowledge extraction from video
Adam Rebei
Computer Science at PrincetonAI for numerical relativity
Part of team working on ECE 120 dataset generation
Aneesh Lodhavia
Computer ScienceDevelopment of AI-based tools for visual analytics
Arjun Gupta
Electrical & Computer EngineeringAI applications for medicine
Arnaldo Rios Roman
UndergraduateElectrical & Computer Engineering at Inter American University of Puerto RicoHuman fall detection project
Electrical and Computer EngineeringIBM Cloud
Arnav Das
Electrical & Computer Engineering and Computer Science
Asad Khan
PhysicsConvergence 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
AI Chatbot
Ben Rabe
Electrical & Computer EngineeringHyperparameter tuning and its effects on deep learning performance and generalization
Bhanu Agarwal
Electrical & Computer Engineering and Computer Science
Pranshu Chaturvedi
Computer ScienceUsing neural networks to analyze tumors in spectroscopic biopsy tissue; biomedical image segmentation with deep learning
Churan He
Electrical & Computer EngineeringImplementation of machine learning algorithms on FPGAs
Daniel Johnson
Physics
Dhruv Sirsikar
Computer ScienceDevelopment of AI-based tools for visual analytics
Diyu Lu
Mathematics and Computer Science
Daniel George
Physics
Electrical and Computer EngineeringFederated Learning
Electrical and Computer Engineeringporting Cancer Center's models to CS-2; on HOLL-I account
PhysicsTheory of deep learning, applications of AI to particle physics
Technical System ManagementObject detection/Classification/Interactive NLG
Hongyu Shen
Electrical & Computer EngineeringGraph nets and Bayesian nets for inference of high-dimensional signal manifolds
Electrical and Computer Engineeringmachine learning on FPGA
Fisk UniversityAI chatbot for personalized nutrition
Electrical and Computer EngineeringDialog systems, Deep learning frameworks
Undergraduate StudentECELLM on HAL-DGX for personalized nutrition
Jiaying Wu
Electrical & Computer Engineering
Electrical & Computer Engineeringdeep model for human action detection
Electrical & Computer EngineeringImplementation of Machine Learning Algorithms on FPGAs
Fisk UniversityAI chatbot for personalized nutrition
Electrical & Computer Engineering
Computer ScienceDistributed and Parallel Machine Learning
Charm++ on the cloud
Ke Xu
Computer Science
Computer ScienceNeuromorphic computing
Industrial Engineering3D Reconstruction in Computer Vision; Deep Ocean Seen and Unseen Objects Detection
Lily Ke
Computer Science
Improving quality of Einstein Toolkit Binary Black Hole Simulations
Graduate StudentComputer ScienceDOE FAIR
Mengshen Yun
Electrical & Computer EngineeringAccelerating convolution in deep neural networks on FPGAs
Mike Yeh
Computer Science
Statistics and Computer ScienceDevelopment of AI-based tools for visual analytics (human action recognition)
MathematicsConvergence of AI and HPC. Training and optimization of AI models with applications to astrophysics, spectroscopy and cancer. Development of scalable distributed training algorithms.
Implementing with OpenCAPI framework
Computer ScienceConvergence of AI and HPC. Training and optimization of AI models with applications to astrophysics, spectroscopy and cancer. Development of scalable distributed training algorithms.
Transfer Learning Applications to Sub-Seasonal Machine Learning Models
Prannav Gupta
Computer ScienceDevelopment of AI-based tools for visual analytics
StatisticsNSF REU
Qihang Zhao
Qihang ZhaoElectrical & Computer EngineeringSound synthesis with GANs
Graduate StudentDPI-ANL Research Partnerships Seed Grants - SAGE - Tessum
Computer ScienceAnalysis of digital elevation maps with deep learning
Computer 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 Prabhakar
Computer Science
Electrical & Computer EngineeringHuman fall detection project
Undergraduate StudentECEAir Pollution Benchmarking System using deep learning
LawEthical and legal implications arising from of the use of AI
Sarah Habib
Physics
Shawn Rosofsky
PhysicsConvergence 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
Electrical and Computer Engineering3D medical image segmentation
ANL
Electrical and Computer Engineering3D medical image segmentation
Sibo Wang
Astronomy and Computer Science
Sruthi Bhattiprolu
Electrical & Computer Engineering
Tanitpong Lawphongpanich
Electrical & Computer EngineeringInterfacing deep learning frameworks with FPGAs
Computer ScienceComputer Science
Computer Science
Wei Wei
Physics
ECE Department (Computer Engineering)Computer Vision
Xiaobo Huang
MathematicsProduction scale AI pipeline for gravitational wave detection
Electrical and Computer Engineering
Yuan Ma
Electrical & Computer EngineeringAccelerating convolution in deep neural networks on CAPI-based FPGA
Yuqi Mao
Electrical & Computer Engineering
Yuzhou Wang
MathematicsDevelop novel deep learning models to identify gravitational wave sources
AI Chatbot
Electrical and Computer Engineering
Zixin Huang
Computer Science