Northwestern Mutual Data Science Institute Assistant Professor
Department of Computer Science
Courses Taught
Advanced Machine Learning
Intro to Data Science
Research Interests
Statistical Signal Processing and Machine Learning
Artificial Intelligence
Optimization Theory
Network Science and Graph Signal Processing
Data Science
Selected Publications
- M. Aryal, and N. Y. Soltani, “Context-aware Graph-Based Self-Supervised Learning of Whole Slide Images, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022.
- N. Y. Soltani, "Online Learning of Sparse Gaussian Conditional Random Fields with Application to Prediction of Energy Consumers Behavior," in Proc. of Statistical Signal Processing Workshop, Rio de Janeiro, Brazil, July 2021.
- N.Y. Soltani, and A. Nasiri, “Chance-Constrained Optimization of Energy Storage Capacity for Microgrids," IEEE Transactions on Smart Grid, 2020, Volume: 11, Issue: 4, July 2020.
- N. Y. Soltani, S.-J. Kim, and G. B. Giannakis, “Real-time Load Elasticity Tracking and Pricing for Electric Vehicle Charging," IEEE Transactions on Smart Grid, May 2015.
- N. Y. Soltani, and G. B. Giannakis, "Online Learning of Electric Vehicle Consumers’ Charging Behavior with Missing Data," in Proc. of Global Conf. on Signal and Info. Processing, Atlanta, Georgia, Dec. 2014.
- N. Y. Soltani, S.-J. Kim, and G. B. Giannakis, " Chance-Constrained Optimization of Uplink Parameters for OFDMA Cognitive Radios,” IEEE Transactions on Wireless Communications, vol. 12, no. 3, pp. 1098-1107, March 2013.
