Research

Research Interests:

Machine Learning, Deep Learning, Optimization, Data Science.

Publications:

Journal Papers:
1)    A. Tsiligkaridis, I. Ch. Paschalidis, M. Caramanis, and A. Coskun, “Demand Response via Data Center Economic Dispatch in the Grid”, To be submitted to IEEE Transactions on Sustainable Computing.
2)    Y. Zhang, A. Tsiligkaridis, I. Ch. Paschalidis, and A. Coskun, “Data Center and Load Aggregator Coordination Towards Electricity Demand Response”, Submitted to iScience.

Conference Papers:
1) A. Tsiligkaridis, J. Zhang, I. Ch. Paschalidis, H. Taguchi, and D. Nikovski, “Context-Aware Destination and Time-To-Destination Prediction Using Machine Learning”, To be submitted to IEEE ICASSP 2022.
2)    J. Zhang, A. Tsiligkaridis, H. Taguchi, A. Raghunathan, and D. Nikovski, “Transformer Networks for Predictive Group Elevator Control”, To be submitted to ECC 2022.
3) A. Tsiligkaridis, and T. Tsiligkaridis, “Misclassification-Aware Gaussian Smoothing and Mixed Augmentations improves Robustness against Domain Shifts”, Submitted to AAAI 2022.
4) A. Tsiligkaridis, and T. Tsiligkaridis, “On Misclassification-Aware Smoothing for Robustness and Uncertainty Calibration”, Presented at ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning.
5)    A. Tsiligkaridis, J. Zhang, H. Taguchi, and D. Nikovski, “Personalized Destination Prediction Using Transformers In A Minimal Data Setting”, In Proceedings of the International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, Scotland.
6)    A. Tsiligkaridis, I. Ch. Paschalidis, and A. Coskun “Coordinated Demand Response By Data Centers Using Inverse Optimization”, In Proceedings of the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm 2020), Phoenix, AZ.
7)    A. Tsiligkaridis, I. Ch. Paschalidis, and A. Coskun “Data Center Demand Response Using Inverse Optimization Techniques”, In Proceedings of the ACM International Conference on Future Energy Systems (ACM e-Energy 2019), Phoenix, AZ.
8)    A. Tsiligkaridis, and I. Ch. Paschalidis, “Anomaly Detection in Transportation Networks Using Machine Learning Techniques”, In Proceedings of the IEEE MIT Undergraduate Research Technology Conference (MIT URTC 2017), Boston, MA.
9)    A. Tsiligkaridis and T. Tsiligkaridis, “Distributed Probabilistic Bisection Search using Social Learning”, In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2017), Lecture Presentation, New Orleans, LA.

arXiv Link

Undergraduate Thesis:
1)   A. Tsiligkaridis and I. Ch. Paschalidis, “Anomaly Detection in Transportation Networks Using Machine Learning Techniques”.

Technical Reports:

1)    A. Tsiligkaridis, E. Lam, H. Elgala, and T. D. C. Little, “Robust Synchronization in IM/DD OFDM Optical Communication Systems”, Oct. 2015.

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