Funded Projects - Rising Researcher

ICDS is pleased to announce the results of our first Rising Research project which pairs established ICDS researchers with up and coming researchers to pursue projects aligned with ICDS’s priorities of artificial intelligence, computational science, data science, quantum computing, and digital twins.

2025–26 Rising Researcher Funded Projects

Rising Researcher	Project Name	PI	PI Department
Cavero Sanchez, Cecilia	Computational Mapping of Alternative Dispute Resolution Institutions	Loyle, Cyanne	Political Science
Kim, Young Cheol	Dynamic numerical models of flank collapse and tsunami	WAUTHIER, CHRISTELLE	Geosciences
Kim, Young Cheol	Fire and climate change impacts in a tropical biodiversity hotspot (Rwenzori Mtns, Uganda): remote sensing to understand abrupt ecosystem change	Ivory, Sarah	Geosciences
Sadeghi, Movahhed	Benchmarking for Quantum Machine Learning	Kandemir, Mahmut	Computer Science and Engineering
Sadeghi, Movahhed	Quantum Algorithms and Quantum Enhanced Machine Learning for Transient Simulations in Large Scale Nonlinear Dynamical Systems	Li, Xiantao	Mathematics
Song, Guangxiang	De-risking the commercialization of advanced nuclear reactors through innovative financing vehicles	Sorokina, Nonna	Business Division
Song, Guangxiang	Your Next-Door Neighbor, Nuclear Reactor: Real Estate and Societal Readiness	Sorokina, Nonna	Business Division
Song, Xiaozhen	Development of Data-based AI-driven Toolkits for Energy Industry Using Distributed Fiberoptic Sensing	Liu, Shimin	Energy and Mineral Engineering
Song, Xiaozhen	Development of High-fidelity and Reduced-order Models for Thermal Runaway	Kumar, Ashish	Department of Energy and Mineral Engineering
Tian, Mingsheng	Computational Perspectives for Quantum Phases of Matter	Bi, Zhen	Physics
Tian, Mingsheng	Prediction and Discovery of Many-Body Phenomena in Quantum Simulators Enabled by High-Performance Computation	Gadway, Bryce	Physics
Dattilo, Anne	Exoplanet Demographics Combining Multiple Detection Methods	Ford, Eric	Astronomy and Astrophysics
Dattilo, Anne	Building Toolbox to Characterize the NEID Earth Twin Survey Detection Efficiency	Mahadevan, Suvrath	Astronomy and Astrophysics
Bilal, Muhammad	Probabilistic Digital Twins for Predicting Chaotic Bifurcations in High-Speed Aeroelasticity	Renganathan, Ashwin	Aerospace
Bilal, Muhammad	Reduced order modeling for supersonic and hypersonic aerodynamic flows via probabilistic machine learning	Renganathan, Ashwin	Aerospace
Das, Samata	Protein Misfolding, Mutations and the Emergence of Disease Phenotypes	Song, Hyebin	Department of Statistics
Das, Samata	Inference on Multivariate Gaussian Processes via Deep Learning Neural Networks for Astronomical Time Series Data Analysis	Tak, Hyungsuk	Statistics, Astronomy and Astrophysics
Dorner, Drew	Benchmarking for Quantum Machine Learning	Kandemir, Mahmut	Computer Science and Engineering
Dorner, Drew	Quantum simulations of many body physics and field theories	Kaul, Ribhu	Physics
Fahim, Parastou	Analyzing Human and Social Dynamics Through Social Sensing	Gong, Xi	Biobehavioral Health
Fahim, Parastou	Learning Linear Temporal Logic under Uncertainty for Sustainable Behavioral Change Interventions	Meira Goes, Romulo	Electrical Engineering
Homayouni, Yasaman	Reverberation Mapping Time Lag Estimation via Deep Learning Neural Networks	Tak, Hyungsuk	Statistics, Astronomy and Astrophysics
Homayouni, Yasaman	Inference on Multivariate Gaussian Processes via Deep Learning Neural Networks for Astronomical Time Series Data Analysis	Tak, Hyungsuk	Statistics, Astronomy and Astrophysics
Neilson, Oliver	Integrating marine geochemistry, physical dynamics, and volcanology in the geological record: an Oceanic Anoxic Event 2 case study	Fendley, Isabel	Geosciences
Neilson, Oliver	Volcanic (LIP) gas fluxes in geological history using geochemical models	Fendley, Isabel	Geosciences
Paul, Priyanka	Evaluating Generative AI Tools for Qualitative Analysis	BRICK, TIMOTHY RAYMOND	Department of Human Development and Family Studies
Paul, Priyanka	Resource Request for Junior Researchers (Systems Engineering) Support for Social Sciences Research Computing	Wells, Lindsay	ICDS
Shi, Lishan	Reverberation Mapping Time Lag Estimation via Deep Learning Neural Networks	Tak, Hyungsuk	Statistics, Astronomy and Astrophysics
Shi, Lishan	Millions of Galaxies but No Time: Rapid Inference of Galaxy Properties with Neural Density Estimators	Leja, Joel	Astronomy and Astrophysics
Shokry, Ahmed	Benchmarking for Quantum Machine Learning	Kandemir, Mahmut	Computer Science and Engineering
Shringi, Abhishek	Deciphering systemic biological networks through AI-driven multi-omic integration	Nader, Gustavo	Kinesiology and Huck Institutes of the Life Sciences
Wright, Jonathan	Privacy-Preserving Linear Regression and Synthetic Data for Reproducible Social Science Research	Slavkovic, Aleksandra	Statistics
Wright, Jonathan	Resource Request for Junior Researchers (Systems Engineering) Support for Social Sciences Research Computing	Wells, Lindsay	ICDS
Amoah, Edward	PolliSense: AI-powered Habitat Quality Assessment and Biodiversity Improvement	Mahdavi, Mehrdad	Computer Science and Engineering
Anglero Mendez, Maria	Protein Misfolding, Mutations and the Emergence of Disease Phenotypes	Song, Hyebin	Department of Statistics
Chen, Jianing	Quantum Algorithms and Quantum Enhanced Machine Learning for Transient Simulations in Large Scale Nonlinear Dynamical Systems	Li, Xiantao	Mathematics
Dalvi, Abhishek	Learning on the Edge With Hyperdimensional Computing	Honavar, Vasant	Informatics and Intelligent Systems
Dong, Yuxiang	Advancing air pollution exposure assessment with machine learning techniques	Gong, Xi	Biobehavioral Health
Enemuo, Michael	ML-Enhanced Multiphysics Modeling for Packed-Bed Thermal Energy Storage Optimization	Ogunmodimu, Olumide	Energy and Mineral Engineering
Fan, Yifei	Identify the causes of the signal-to-noise paradox in the North Atlantic Oscillation	Li, Laifang	Meteorology and Atmospheric Science
Gattu, Mytraya	Neural-Network based optimization of wave functions of interacting electrons	Jain, Jainendra	Physics
Gesualdo, Gabriela	Informing the detection of flash drought events by mining and modeling media reports	Hadjimichael, Antonia	Geosciences
Hanifi, Sahar	Machine Learning for Health Risk Prediction from Longitudinal Health Data	Honavar, Vasant	Informatics and Intelligent Systems
He, Xinxin	Development of Data-based AI-driven Toolkits for Energy Industry Using Distributed Fiberoptic Sensing	Liu, Shimin	Energy and Mineral Engineering
Hew, Nigel Lee En	Zentropy-Based Insights into Short-Range Order and Mechanical Properties in High Entropy Alloys	Shang, Shunli	Materials Science and Enigineering
Laiton Jimenez, Laura	Deciphering systemic biological networks through AI-driven multi-omic integration	Nader, Gustavo	Kinesiology and Huck Institutes of the Life Sciences
Le, Huu-Thong	Machine-Learning Angle-Resolved Photoemission Spectroscopy under Tunable Magnetic Fields	Liu, Chaoxing	Physics
Lee, Woohyoung	Game-Style Outdoor Airflow Simulation for Fast Design of Cooling Systems	Zuo, Wangda	Architectural Engineering
Li, Hongjun	Development of Digital Twin for Liquid Cooled Data Centers	Zuo, Wangda	Architectural Engineering
Lin, Shurong	Privacy-Preserving Linear Regression and Synthetic Data for Reproducible Social Science Research	Slavkovic, Aleksandra	Statistics
Liu, Xufu	Using Biobank Data to Explore Biological Mediators of Education-Related Protection against Dementia	Liu, Xiao	Biomedical Engineering
Lu, Zheng	LLM-Augmented Digital Twin Framework for Building Material Reuse and Recycling Assessment	Hu, Yuqing	Architectural Engineering
Massa, Alexander	Predict Arctic Sea Ice Variability from Atmospheric River Activities and the Time of Arrival of Ice-free Arctic	Li, Laifang	Meteorology and Atmospheric Science
Mathews, Elijah	Millions of Galaxies but No Time: Rapid Inference of Galaxy Properties with Neural Density Estimators	Leja, Joel	Astronomy and Astrophysics
Miao, Jilang	Transfer Learning for Predicting Local Atomic Order in Multi-Principal Element Alloys	Jin, Mia	Nuclear Engineering
Murcia Quintero, Daniel	AI-Enhanced Dynamic Assessment of ESL Academic Writing	Poehner, Matthew	Department of Applied Linguistics
Othman, Hanin	TwinSight: A Data-Driven Digital Twin Framework for Human-Centric Health Monitoring	Singh, Dhananjay	Information Sciences and Technology
Rahbari, Fatemeh	Enhancing Road Safety Through Real-Time AI-Powered Drowsiness Detection and Alert system Using EEG Eye-Blink Artifacts	Otchere, Daniel	ICDS
SAID, KHADIJA	Development of High-fidelity and Reduced-order Models for Thermal Runaway	Kumar, Ashish	Department of Energy and Mineral Engineering
Sayed Ahmed, Dalia Mohamed Ahmed Mohamed	Transfer Learning for Predicting Local Atomic Order in Multi-Principal Element Alloys	Jin, Mia	Nuclear Engineering
Srinivasan, Sarvesh	Computational Perspectives for Quantum Phases of Matter	Bi, Zhen	Physics
Sugarman, Andrew	Topological Data Analysis for the Quantification of Prostate Cancer Heterogeneity	Silverman, Justin	IST, ICDS, Statistics, Medicine
Tamilmani, Deebak	EMBEDDING INTELLIGENCE IN 3D MODELING WORKFLOWS : AN APPROACH FOR LANGUAGE LANGUAGE MODELS TO ASSIST USERS IN 3D MODELING USING NATURAL LANGUAGE	DAVIS, FELECIA ANN	Architecture
Viana, Matt	Mapping Language Model Failures Through Community Experience: A Study of Multilingual Researchers	CALACCI, DANA	College of IST
Wang, Shun	Building Digital Twins of Personalized Models for Alzheimer’s Disease Prevention and Treatment	LIU, ZI-KUI	Materials Science and Enigineering
Wang, Tao	Exploring Phonon Dynamics of Defective Transition Metal Dichalcogenides (TMDs) using Quantum Mechanics, ReaxFF and Machine Learning Methods	Van Duin, Adrianus C	Mechanical Engineering
Wang, Xiaochen	Predicting HIV care loss-to-follow-up using machine learning	Risher, Kathryn	Public Health Sciences
Yang, Jianyu	Interpreting the biological concepts learned by neural networks in genomic predictive tasks	Mahony, Shaun	Biochemistry and Molecular Biology
Yuan, Kail	Probabilistic Digital Twins for Predicting Chaotic Bifurcations in High-Speed Aeroelasticity	Renganathan, Ashwin	Aerospace
Zak, Miranda	An improved pipeline to detect astrophysical transients in Atacama Cosmology Telescope time-resolved survey data	Ward, Charlotte	Astronomy and Astrophysics
Zhang, Naixin	Federated estimation of causal effects from observational Data	Honavar, Vasant	Informatics and Intelligent Systems