B. Aditya Prakash
Professor, Associate Chair for Academic Affairs
Develops data mining and machine learning for networks and sequences, with applications to epidemic forecasting.
B. Aditya Prakash's lab at Georgia Tech works on data management & big data. 37 papers since 2023, 23 at top venues, mostly ICLR and ICML. 5 PhD students and 7 master's students. 8 alumni, most often to Google. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 62%
- PhD students
- 5
- MS students
- 7
- alumni listed
- 8
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 7 · collecting
- 8 papers2025 · T1 5
- 12 papers2024 · T1 7
- 8 papers2023 · T1 4
T1 venuesOtherVenues: ICLR, ICML, AAAI, ICDE, KDD
Research focuspaper titles that use each topic's words
- forecasting12 papers
- Data management & big data1 paper
- sequences0 papers
- develops data0 papers
- computational science0 papers
Paper list
From the lab homepage.
20269 papers
- KDD (T1)AHA: Scalable Alternative History Analysis for Operational Timeseries Applications
- ICLR (T1)Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
- ICDE (T1)Enhancing Hierarchical Industrial Demand Forecasting by Temporal and Uncertainty Explanation
- USENIX NSDIMoCE: A Mixture-of-Context Aware Experts Framework for Troubleshooting Internet-scale Services
- CAISNexa: Automatically Surfacing Business Impacting Insights in E-commerce Applications
- ICML (T1)Rethinking Multimodal Time-Series Forecasting Evaluation
- ICLR (T1)Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift
- ICDE (T1)TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting
- ICLR (T1)TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
20258 papers
- NAACL (T1)A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
- SDMAccurately Estimating Unreported Infections using Information Theory
- ACM HotNETSAutomatically Surfacing Opportunities for Improvements In Internet-Scale Applications
- UAI (T1)DF2: Distribution-Free Decision-Focused Learning
- ICML (T1)EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
- NPJ DigitalIdentifying and forecasting importation and asymptomatic spreaders of multi-drug resistant organisms in hospital settings
- CIKM (T1)In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks
- KDD (T1)Performative Time-Series Forecasting
202412 papers
- IJCAI (T1)A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
- SIGKDDA Review of Graph Neural Networks in Epidemic Modeling
- Nature Communications (T1)Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations
- SDMH2ABM: Heterogeneous Agent-based Model on Hypergraphs to Capture Group Interactions
- NeurIPS (T1)Large Pre-trained time series models for cross-domain Time series analysis tasks
- SIGKDDLarge Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
- Findings of ACLLSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
- Nature Machine Intelligence (T1)Machine learning for data-centric epidemic forecasting
- ICHEModeling relaxed policies for discontinuation of Methicillin Resistant Staphylococcus aureus contact precautions
- ICLR (T1)PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
- NeurIPS (T1)Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis
- ICML (T1)Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
20238 papers
- ICML (T1)Autoregressive Diffusion Model for Graph Generation
- AAAI (T1)Detecting Sources of Healthcare Associated Infections
- AAMAS (T1)Differentiable Agent-based Epidemiology
- AAAI (T1)EINNs: Epidemiologically-Informed Neural Networks
- Front. Digit. HealthEmpirical networks for localized COVID-19 interventions using WiFi infrastructure at university campuses
- SIGKDDPROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series
- Vaccine - Special Issue in ML-Driven Vaccine Development against Emerging Infections.Using Neural Networks to Calibrate Agent Based Models Enables Improved Regional Evidence for Vaccine Strategy and Policy
- ScientificUsing spectral characterization to identify healthcare-associated infection (HAI) patients for clinical contact precaution
Where alumni went8 listed, 17% to industry
Industry 1Academia 5
Most often to
Also to
- Oak Ridge National Laboratory
- Radford University
- the University of Iowa
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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