Machine Learning, Optimization and Data (MOD) Lab
The Machine Learning, Optimization and Data (MOD) Lab at Marquette University is led by
Dr. Nasim Yahyasoltani and conducts research on algorithms, analysis, and application of machine learning,
optimization and statistical signal processing. With a focus on data science, network science, and intelligent systems,
current research interests include the following:
- Online machine learning and time-varying optimization for real-time control and decisions
- Graph signal processing/machine learning and network data analytics
- Robust machine learning
- Privacy-aware machine learning
- Stochastic and chance-constrained optimization
- Federated learning and distributed optimization
MidWest Machine Learning Symposium, Chicago, IL
PhD Students
Aryal Milan
Research Interest:
- Medical Image Processing
- Whole Slide Image (WSI)
- Digital Pathology with Graph Neural Networks
- Generative AI in Digital Pathology
- Unsupervised and Semi-Supervised Pre-training
Saba Heidari Gheshlaghi
Research Interest:
- Machine Vision and Medical Image Processing
- Generative Adversarial Networks
- Neural Architecture Search
- Adversarial and OOD Robustness in GNN
- Explainability in GNN
Dibaloke Chanda
Research Interest:
- Representation Learning
- Graph Neural Network
- Explainability in Graph Neural Network
- LLMs and LVMs
M.Sc. Students
-
Anthony Peressini
- Peter Hyde-Smith (Graduated, Nov 2022)
