Publications
Please refer to Google Scholar for the comprehensive list.
Journal Papers
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J10. A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid
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Dibaloke, Chanda, and Nasim Yahya Soltani. "A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid." IEEE Transactions on Power Systems (2024).
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J9. Context-aware self-supervised learning of whole slide images
Aryal, Milan, and Nasim Yahya Soltani. "Context-aware self-supervised learning of whole slide images." IEEE Transactions on Artificial Intelligence (2024).
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J8. Learning Performance Efficiency of College Basketball Players Using TVAE
Yahyasoltani, Nasim, Priyanka Annapureddy, and Manzur Farazi. "Learning Performance Efficiency of College Basketball Players Using TVAE." IEEE Access 11 (2023): 130186-130196.
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J7. Enhancing motor imagery decoding via transfer learning
George, Olawunmi, Sarthak Dabas, Abdur Sikder, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, and Sheikh Iqbal Ahamed. "Enhancing motor imagery decoding via transfer learning." Smart Health 26 (2022): 100339.
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J6. Data augmentation strategies for EEG-based motor imagery decoding
George, Olawunmi, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, and Sheikh Iqbal Ahamed. "Data augmentation strategies for EEG-based motor imagery decoding." Heliyon 8, no. 8 (2022).
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J5. State-of-the-art versus deep learning: A comparative study of motor imagery decoding techniques
George, Olawunmi, Sarthak Dabas, Abdur Sikder, Roger O. Smith, Praveen Madiraju, Nasim Yahyasoltani, and Sheikh Iqbal Ahamed. "State-of-the-art versus deep learning: A comparative study of motor imagery decoding techniques." IEEE Access 10 (2022): 45605-45619.
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J4. Chance-constrained Optimization of Energy Storage Capacity for Microgrids
Soltani, Nasim Yahya, and Adel Nasiri. "Chance-constrained optimization of energy storage capacity for microgrids." IEEE Transactions on Smart Grid 11.4 (2020): 2760-2770.
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J3. Real-time load elasticity tracking and pricing for electric vehicle charging
Soltani, Nasim Yahya, Seung-Jun Kim, and Georgios B. Giannakis. "Real-time load elasticity tracking and pricing for electric vehicle charging." IEEE Transactions on Smart Grid 6.3 (2014): 1303-1313.
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J2. Chance-constrained optimization of OFDMA cognitive radio uplinks
Soltani, Nasim Yahya, Seung-Jun Kim, and Georgios B. Giannakis. "Chance-constrained optimization of OFDMA cognitive radio uplinks." IEEE transactions on wireless communications 12.3 (2013): 1098-1107.
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J1. A different approach to use narrowband super-resolution multiple signal classification algorithm on wideband sources
Asgari, Mohammad, Nasim Yahya Soltani, and Ali Riahi. "A different approach to use narrowband super-resolution multiple signal classification algorithm on wideband sources." The Journal of the Acoustical Society of America 127.1 (2010): 286-291.
Conference Papers
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C12. Robust and transferable graph neural networks for medical images
Gheshlaghi, Saba Heidari, and Nasim Yahyasoltani. "Robust and Transferable Graph Neural Networks for Medical Images." 2023 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2023.
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C11. Graph-Based Multi-Task Learning For Fault Detection In Smart Grid
Chanda, Dibaloke, and Nasim Yahya Soltani. "Graph-Based Multi-Task Learning For Fault Detection In Smart Grid." 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2023.
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C10. Position-Aware Graph-Based Learning Of Whole Slide Images
Aryal, Milan, and Nasim Yahya Soltani. "Position-Aware Graph-Based Learning of Whole Slide Images." ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023.
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C9. Context-aware Graph-Based Self-Supervised Learning of Whole Slide Images
Aryal, Milan, and Nasim Yahya Soltani. "Context-aware graph-based self-supervised learning of whole slide images." ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022.
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C8. Identifying Catheter and Line Position in Chest X-Rays Using GANs
Aryal, Milan, and Nasim Yahyasoltani. "Identifying Catheter and Line Position in Chest X-Rays Using GANs." 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2021.
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C7. Learning Performance Efficiency of College Basketball Players
Yahyasoltani, Nasim, Manzur Farazi, and Priyanka Annapureddy. "Learning Performance Efficiency of College Basketball Players." 2021 IEEE 23rd Int Conf on High Performance Computing & Communications. IEEE, 2021.
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C6. Motor Imagery: A Review of Existing Techniques, Challenges and Potentials
George, Olawunmi, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, and Sheikh Iqbal Ahamed. "Motor Imagery: A review of existing techniques, challenges and potentials." In 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 1893-1899. IEEE, 2021.
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C5. Online Learning of Sparse Gaussian Conditional Random Fields with Application to Prediction of Energy Consumers Behavior
Soltani, Nasim Yahya. "Online learning of sparse Gaussian conditional random fields with application to prediction of energy consumers behavior." 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2021.
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C4. Online learning of electric vehicle consumers' charging behavior with missing data
Soltani, Nasim Yahya, and Georgios B. Giannakis. "Online learning of electric vehicle consumers' charging behavior with missing data." 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2014.
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C3. Online learning of load elasticity for electric vehicle charging
Soltani, Nasim Yahya, Seung-Jun Kim, and Georgios B. Giannakis. "Online learning of load elasticity for electric vehicle charging." 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2013.
-
C2. Chance-constrained optimization of uplink parameters for OFDMA cognitive radios
Soltani, Nasim Yahya, Seung-Jun Kim, and Georgios B. Giannakis. "Chance-constrained optimization of uplink parameters for OFDMA cognitive radios." 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2012.
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C1. Resource allocation for OFDMA cognitive radios under channel uncertainty
Kim, Seung-Jun, Nasim Yahya Soltani, and Georgios B. Giannakis. "Resource allocation for OFDMA cognitive radios under channel uncertainty." 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Journal Papers
- J10. A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid
-
Dibaloke, Chanda, and Nasim Yahya Soltani. "A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid." IEEE Transactions on Power Systems (2024).
-
J9. Context-aware self-supervised learning of whole slide images
Aryal, Milan, and Nasim Yahya Soltani. "Context-aware self-supervised learning of whole slide images." IEEE Transactions on Artificial Intelligence (2024).
-
J8. Learning Performance Efficiency of College Basketball Players Using TVAE
Yahyasoltani, Nasim, Priyanka Annapureddy, and Manzur Farazi. "Learning Performance Efficiency of College Basketball Players Using TVAE." IEEE Access 11 (2023): 130186-130196.
-
J7. Enhancing motor imagery decoding via transfer learning
George, Olawunmi, Sarthak Dabas, Abdur Sikder, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, and Sheikh Iqbal Ahamed. "Enhancing motor imagery decoding via transfer learning." Smart Health 26 (2022): 100339.
-
J6. Data augmentation strategies for EEG-based motor imagery decoding
George, Olawunmi, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, and Sheikh Iqbal Ahamed. "Data augmentation strategies for EEG-based motor imagery decoding." Heliyon 8, no. 8 (2022).
-
J5. State-of-the-art versus deep learning: A comparative study of motor imagery decoding techniques
George, Olawunmi, Sarthak Dabas, Abdur Sikder, Roger O. Smith, Praveen Madiraju, Nasim Yahyasoltani, and Sheikh Iqbal Ahamed. "State-of-the-art versus deep learning: A comparative study of motor imagery decoding techniques." IEEE Access 10 (2022): 45605-45619.
-
J4. Chance-constrained Optimization of Energy Storage Capacity for Microgrids
Soltani, Nasim Yahya, and Adel Nasiri. "Chance-constrained optimization of energy storage capacity for microgrids." IEEE Transactions on Smart Grid 11.4 (2020): 2760-2770.
-
J3. Real-time load elasticity tracking and pricing for electric vehicle charging
Soltani, Nasim Yahya, Seung-Jun Kim, and Georgios B. Giannakis. "Real-time load elasticity tracking and pricing for electric vehicle charging." IEEE Transactions on Smart Grid 6.3 (2014): 1303-1313.
-
J2. Chance-constrained optimization of OFDMA cognitive radio uplinks
Soltani, Nasim Yahya, Seung-Jun Kim, and Georgios B. Giannakis. "Chance-constrained optimization of OFDMA cognitive radio uplinks." IEEE transactions on wireless communications 12.3 (2013): 1098-1107.
-
J1. A different approach to use narrowband super-resolution multiple signal classification algorithm on wideband sources
Asgari, Mohammad, Nasim Yahya Soltani, and Ali Riahi. "A different approach to use narrowband super-resolution multiple signal classification algorithm on wideband sources." The Journal of the Acoustical Society of America 127.1 (2010): 286-291.
Conference Papers
-
C12. Robust and transferable graph neural networks for medical images
Gheshlaghi, Saba Heidari, and Nasim Yahyasoltani. "Robust and Transferable Graph Neural Networks for Medical Images." 2023 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2023.
-
C11. Graph-Based Multi-Task Learning For Fault Detection In Smart Grid
Chanda, Dibaloke, and Nasim Yahya Soltani. "Graph-Based Multi-Task Learning For Fault Detection In Smart Grid." 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2023.
-
C10. Position-Aware Graph-Based Learning Of Whole Slide Images
Aryal, Milan, and Nasim Yahya Soltani. "Position-Aware Graph-Based Learning of Whole Slide Images." ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023.
-
C9. Context-aware Graph-Based Self-Supervised Learning of Whole Slide Images
Aryal, Milan, and Nasim Yahya Soltani. "Context-aware graph-based self-supervised learning of whole slide images." ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022.
-
C8. Identifying Catheter and Line Position in Chest X-Rays Using GANs
Aryal, Milan, and Nasim Yahyasoltani. "Identifying Catheter and Line Position in Chest X-Rays Using GANs." 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2021.
-
C7. Learning Performance Efficiency of College Basketball Players
Yahyasoltani, Nasim, Manzur Farazi, and Priyanka Annapureddy. "Learning Performance Efficiency of College Basketball Players." 2021 IEEE 23rd Int Conf on High Performance Computing & Communications. IEEE, 2021.
-
C6. Motor Imagery: A Review of Existing Techniques, Challenges and Potentials
George, Olawunmi, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, and Sheikh Iqbal Ahamed. "Motor Imagery: A review of existing techniques, challenges and potentials." In 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 1893-1899. IEEE, 2021.
-
C5. Online Learning of Sparse Gaussian Conditional Random Fields with Application to Prediction of Energy Consumers Behavior
Soltani, Nasim Yahya. "Online learning of sparse Gaussian conditional random fields with application to prediction of energy consumers behavior." 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2021.
-
C4. Online learning of electric vehicle consumers' charging behavior with missing data
Soltani, Nasim Yahya, and Georgios B. Giannakis. "Online learning of electric vehicle consumers' charging behavior with missing data." 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2014.
-
C3. Online learning of load elasticity for electric vehicle charging
Soltani, Nasim Yahya, Seung-Jun Kim, and Georgios B. Giannakis. "Online learning of load elasticity for electric vehicle charging." 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2013.
-
C2. Chance-constrained optimization of uplink parameters for OFDMA cognitive radios
Soltani, Nasim Yahya, Seung-Jun Kim, and Georgios B. Giannakis. "Chance-constrained optimization of uplink parameters for OFDMA cognitive radios." 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2012.
-
C1. Resource allocation for OFDMA cognitive radios under channel uncertainty
Kim, Seung-Jun, Nasim Yahya Soltani, and Georgios B. Giannakis. "Resource allocation for OFDMA cognitive radios under channel uncertainty." 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).