Nasim Yahyasoltani
Northwestern Mutual Assistant Professor
Department of Computer Science
Marquette University, Milwaukee
Office: 240C, Cudahy Hall
Tel: 414-288-3790
Email: nasim(at)yahyasoltani(at)
marquette(dot)edu
About Me
I am currently Northwestern Mutual Assistant Professor of Computer Science at Marquette University, Milwaukee, WI. I obtained my Ph.D. in Electrical Engineering from the University of Minnesota, Minneapolis, MN, in June 2014 under the supervision of Professor Georgios B. Giannakis. Prior to joining Marquette University, I was a Senior Data Scientist at Harley-Davidson Motor Company.
Research Interest
- Statistical signal processing
- Machine learning
- Optimization theory
- Network science with applications to wireless communications and networking, smart grid and healthcare.
Research Lab
I am the director of the Machine Learning, Optimization and Data (MOD) Lab. For more details see Group.
News
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Journal Acceptance in IEEE Transactions on Power Systems
Our journal titled "A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid" got accepted to IEEE Transactions on Power Systems
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Paper Acceptance in IEEE GLOBECOM
Our conference paper titled "A Graph Motif Adversarial Attack for Fault Detection in Power Distribution Systems" got accepted to the 2024 IEEE Global Communications Conference
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Journal Acceptance in IEEE Transactions on Artificial Intelligence
Our journal titled "Context-Aware Self-Supervised Learning of Whole Slide Images" got accepted to IEEE Transactions on Artificial Intelligence.
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Paper Acceptance in ICMLA
Our conference paper titled "Robust and transferable graph neural networks for medical images" got accepted to the International Conference on Machine Learning and Applications (ICMLA 2023).
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Paper Acceptance in MLSP
Our conference paper titled "Graph-based Multi-Task Learning for Fault Detection in Smart Grid" was accepted to the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023).
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Paper acceptance to ICASSP
Our conference paper titled "Position-Aware Graph-Based Learning of Whole Slide Images" got accepted to the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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Paper Acceptance in ICASSP
Our conference paper titled "Context-aware Graph-Based Self-Supervised Learning of Whole Slide Images" got accepted to the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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Paper Acceptance in ICMLA
Our conference paper titled "Identifying Catheter and Line Position in Chest X-Rays Using GANs" got accepted to IEEE Intl. Conf. on Machine Learning and Applications.