Ph.D. Consortium
Agenda
Wednesday, August 28th
| Time | Activity |
|---|---|
| 2:00 PM – 2:10 PM | Introduction |
| 2:10 PM – 4:00 PM | Oral Presentations |
| 4:00 PM – 4:30 PM | Coffee Break |
| 4:30 PM – 5:30 PM | Tutorial “how to write papers” by Nikolaj Tatti (University of Helsinki) |
| 5:30 PM – 6:30 PM | Ph.D. Panel Discussion |
Accepted Papers
- Actionable Data Monitoring in Modern Data Streams, Ananya Joshi (Carnegie Mellon)*
- A Scale-Invariant Diagnostic Approach Towards Understanding Dynamics of Deep Neural Networks, Ambarish S Moharil (Eindhoven University of Technology)
- Epileptic Disease Predictive Model with Limited Clinical Data Resource, Rikuto Kotoge (Osaka University)*
- Multimodal sensor-guided diffusion model for machined surface image synthesis, Jae Gyeong Choi (Ulsan National Institute of Science and Technology)
- Learning Robust Representation of Crystal Materials for Property Prediction, Kishalay Das (IIT-Kharagpur)
- Fostering Fairness in Image Classification through Awareness of Sensitive Data, Ivona Colakovic (University of Maribor, Faculty of Electrical Engineering and Computer Science)*
- Stream Mining Time-evolving Causality in Time Series, Naoki Chihara (Osaka University SANKEN)
- EEG-based Early Detection of Epileptic Seizures, Uttam Kumar (DSIS Research Group, University of Bonn)
- A novel Relevance Score for Unsupervised Retrieval with Large Language Models, Andrea D’Angelo (University of L’Aquila)*
- PPT: Patch Order Do Matters in Time Series Pretext Task, Jaeho Kim (UNIST)
- BaM: An Enhanced Training Scheme for Balanced and Comprehensive Multi-interest Learning, Jaeri Lee (Seoul National University)
- Connecting Minds and Machines: Decoding Brain Activity during vision perception through the Lens of AI, Matteo Ferrante (University of Rome Tor Vergata)
- Assessing and Mitigating Speech Model Biases via Pattern Mining, Alkis Koudounas (Politecnico di Torino)*
- LLMs Automatically Generate Code to Data Clean, Nam L Huynh (University of Oklahoma)
- LLMs Enhance DL Performance Prediction, Karthick Panner Selvam (University of Luxembourg)*
- Federated Clustering Algorithm based on a Fuzzy Clustering Feature Vector, Asier Urio-Larrea (Universidad Pública de Navarra)
- Methods for Semantic Mining of Spatio-Temporal Data, Steve Ludovic GOUNOUE GUIFFO (University of Bonn)
- Targeted Learning for Algorithmic Fairness, Alexander Asemota (University of California Berkeley)*
- Enabling Scalable Sleep Monito ring with Mobile Sensing and Machine Learning, Priyanka Mary Mammen (UMass Amherst)
- Diversified and Accurate Recommendations for a Series of Users, Jongjin Kim (Seoul National University)
- Quantifying partisanship in ideologically-biased TV news, Upasana Dutta (University of Pennsylvania)*
- Exploring LLMs for Financial Numeric Labelling and Summarization, Subhendu Khatuya (Indian Institute of Technology Kharagpur)
- Multilingual Intent Detection and Key Information Extraction for Domain Specific Applications, Ankan Mullick (IIT Kharagpur)
* accepted for oral presentation during the PhD consortium
** all papers will be displayed during Monday’s poster reception