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portfolio
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Awards
Second Place, FIREHACK 2019 Swarm Search AI Challenge, Wright Brothers Institutes and Air Force Research Lab
Awards
Top 10 winning teams in Stage-II, NIST First-Responder-UAS-Triple-Challenge-3.1-FastFind, USA, 2022., NIST
publications
A novel clustering algorithm based on fitness proportionate sharing
Published in 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017
Recommended citation: Yan, X., Homaifar, A., Nazmi, S., & Razeghi-Jahromi, M. (2017, October). A novel clustering algorithm based on fitness proportionate sharing. In 2017 IEEE International conference on systems, man, and cybernetics (SMC) (pp. 1960-1965). IEEE.
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An evidence theory based multi sensor data fusion for multiclass classification
Published in 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018
Recommended citation: Awogbami, G., Agana, N., Nazmi, S., Yan, X., & Homaifar, A. (2018, October). An evidence theory based multi sensor data fusion for multiclass classification. In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1755-1760). IEEE.
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Multi-label classification using genetic-based machine learning
Published in 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018
Recommended citation: Nazmi, S., Yan, X., & Homaifar, A. (2018, October). Multi-label classification using genetic-based machine learning. In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 675-680). IEEE.
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Unsupervised feature selection through fitness proportionate sharing clustering
Published in 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018
Recommended citation: Yan, X., Homaifar, A., Awogbami, G., & Girma, A. (2018, October). Unsupervised feature selection through fitness proportionate sharing clustering. In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1355-1360). IEEE.
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A novel streaming data clustering algorithm based on fitness proportionate sharing
Published in IEEE Access, 2019
Recommended citation: Yan, X., Razeghi-Jahromi, M., Homaifar, A., Erol, B. A., Girma, A., & Tunstel, E. (2019). A novel streaming data clustering algorithm based on fitness proportionate sharing. IEEE Access, 7, 184985-185000.
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Driver identification based on vehicle telematics data using LSTM-recurrent neural network
Published in 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2019
Recommended citation: Girma, A., Yan, X., & Homaifar, A. (2019, November). Driver identification based on vehicle telematics data using LSTM-recurrent neural network. In 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 894-902). IEEE.
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An efficient unsupervised feature selection procedure through feature clustering
Published in Pattern Recognition Letters, 2020
Recommended citation: Yan, X., Nazmi, S., Erol, B. A., Homaifar, A., Gebru, B., & Tunstel, E. (2020). An efficient unsupervised feature selection procedure through feature clustering. Pattern Recognition Letters, 131, 277-284.
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Evolving multi-label classification rules by exploiting high-order label correlations
Published in Neurocomputing, 2020
Recommended citation: Nazmi, S., Yan, X., Homaifar, A., & Doucette, E. (2020). Evolving multi-label classification rules by exploiting high-order label correlations. Neurocomputing, 417, 176-186.
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A clustering-based framework for classifying data streams
Published in 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2021
Recommended citation: Yan, X., Homaifar, A., Sarkar, M., Girma, A., & Tunstel, E. (2021). A clustering-based framework for classifying data streams. arXiv preprint arXiv:2106.11823.
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A niching framework based on fitness proportionate sharing for multi-objective genetic algorithm (moga-fps)
Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021
Recommended citation: Nuhu, A. R., Yan, X., Opoku, D., & Homaifar, A. (2021, July). A niching framework based on fitness proportionate sharing for multi-objective genetic algorithm (moga-fps). In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 191-192).
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A framework for testing and evaluation of operational performance of multi-UAV systems
Published in Intelligent Systems and Applications: Proceedings of the 2021 Intelligent Systems Conference (IntelliSys) Volume 1, 2021
Recommended citation: Sarkar, M., Yan, X., Nateghi, S., Holmes, B. J., Vamvoudakis, K. G., & Homaifar, A. (2022). A framework for testing and evaluation of operational performance of multi-UAV systems. In Intelligent Systems and Applications: Proceedings of the 2021 Intelligent Systems Conference (IntelliSys) Volume 1 (pp. 355-374). Springer International Publishing.
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DA2-Net : Diverse & Adaptive Attention Convolutional Neural Network
Published in 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021
Recommended citation: Girma, A., Homaifar, A., Mahmoud, M. N., Yan, X., & Sarkar, M. (2021, October). DA 2-Net: Diverse & Adaptive Attention Convolutional Neural Network. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1906-1912). IEEE.
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A supervised feature selection method for mixed-type data using density-based feature clustering
Published in 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021
Recommended citation: Yan, X., Sarkar, M., Gebru, B., Nazmi, S., & Homaifar, A. (2021, October). A supervised feature selection method for mixed-type data using density-based feature clustering. In 2021 IEEE International conference on systems, man, and cybernetics (SMC) (pp. 1900-1905). IEEE.
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A novel search and survey technique for unmanned aerial systems in detecting and estimating the area for wildfires
Published in Robotics and Autonomous Systems, 2021
Recommended citation: Sarkar, M., Yan, X., Erol, B. A., Raptis, I., & Homaifar, A. (2021). A novel search and survey technique for unmanned aerial systems in detecting and estimating the area for wildfires. Robotics and Autonomous Systems, 145, 103848.
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Multi-label classification with local pairwise and high-order label correlations using graph partitioning
Published in Knowledge-Based Systems, 2021
Recommended citation: Nazmi, S., Yan, X., Homaifar, A., & Anwar, M. (2021). Multi-label classification with local pairwise and high-order label correlations using graph partitioning. Knowledge-Based Systems, 233, 107414.
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Mitigating shortage of labeled data using clustering-based active learning with diversity exploration
Published in International Conference on Machine Learning Workshop on Adaptive Experimental Design and Active Learning in the Real World 2022, 2022
Recommended citation: Yan, X., Nazmi, S., Gebru, B., Anwar, M., Homaifar, A., Sarkar, M., & Gupta, K. D. (2022). Mitigating shortage of labeled data using clustering-based active learning with diversity exploration. arXiv preprint arXiv:2207.02964.
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Identifying Anomalous Flight Trajectories by leveraging ensembled outlier detection framework
Published in 2022 International Joint Conference on Neural Networks (IJCNN), 2022
Recommended citation: Forney, M., Yan, X., Gupta, K. D., Mahmoud, M. N., & Homaifar, A. (2022, July). Identifying Anomalous Flight Trajectories by leveraging ensembled outlier detection framework. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.
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An online unsupervised streaming features selection through dynamic feature clustering
Published in IEEE Transactions on Artificial Intelligence, 2022
Recommended citation: Yan, X., Homaifar, A., Sarkar, M., Lartey, B., & Gupta, K. D. (2022). An online unsupervised streaming features selection through dynamic feature clustering. IEEE Transactions on Artificial Intelligence, 4(5), 1281-1292.
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A comprehensive eVTOL performance evaluation framework in urban air mobility
Published in Proceedings of SAI Intelligent Systems Conference, 2022
Recommended citation: Sarkar, M., Yan, X., Girma, A., & Homaifar, A. (2022, August). A comprehensive eVTOL performance evaluation framework in urban air mobility. In Proceedings of SAI Intelligent Systems Conference (pp. 459-474). Cham: Springer International Publishing.
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A clustering-based active learning method to query informative and representative samples
Published in Applied Intelligence, 2022
Recommended citation: Yan, X., Nazmi, S., Gebru, B., Anwar, M., Homaifar, A., Sarkar, M., & Gupta, K. D. (2022). A clustering-based active learning method to query informative and representative samples. Applied Intelligence, 52(11), 13250-13267.
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A Data-driven Approach for Travel Time Prediction and Analysis
Published in 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022
Recommended citation: Lartey, B., Zeleke, L., Yan, X., Gupta, K. D., Homaifar, A., & Karimoddini, A. (2022, October). A Data-driven Approach for Travel Time Prediction and Analysis. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 834-839). IEEE.
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Interpretable convolutional learning classifier system (C-LCS) for higher dimensional datasets
Published in 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022
Recommended citation: Owens, J., Gupta, K. D., Yan, X., Zeleke, L. A., & Homaifar, A. (2022, October). Interpretable convolutional learning classifier system (C-LCS) for higher dimensional datasets. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 846-853). IEEE.
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A discriminative deeplab model (ddlm) for surface anomaly detection and localization
Published in 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), 2023
Recommended citation: Gyimah, N. K., Gupta, K. D., Nabil, M., Yan, X., Girma, A., Homaifar, A., & Opoku, D. (2023, March). A discriminative deeplab model (ddlm) for surface anomaly detection and localization. In 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 1137-1144). IEEE.
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An online learning framework for sensor fault diagnosis analysis in autonomous cars
Published in IEEE Transactions on Intelligent Transportation Systems, 2023
Recommended citation: Yan, X., Sarkar, M., Lartey, B., Gebru, B., Homaifar, A., Karimoddini, A., & Tunstel, E. (2023). An online learning framework for sensor fault diagnosis analysis in autonomous cars. IEEE Transactions on Intelligent Transportation Systems.
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NCAT12-DET: A New Benchmark Dataset for Surface Defect Detection and a Comparative Study
Published in IEEE Access, 2024
Recommended citation: Gyimah, N. K., Akinie, R., Yan, X., Nabil, M., Gupta, K. D., Homaifar, A., ... & Opoku, D. (2024). NCAT12-DET: A New Benchmark Dataset for Surface Defect Detection and a Comparative Study. IEEE Access.
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An Efficient Profit-Aware Scalable Vehicle Dispatch Framework for On-Demand Ridesharing
Published in IEEE Transactions on Industrial Cyber-Physical Systems, 2024
Recommended citation: Lartey, B., Bedada, W., Yan, X., Homaifar, A., Karimoddini, A., & Tunstel, E. (2024). An Efficient Profit-Aware Scalable Vehicle Dispatch Framework for On-Demand Ridesharing. IEEE Transactions on Industrial Cyber-Physical Systems.
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Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-grained Motor Behavior Recognition
Published in 2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA), 2024
Recommended citation: Liu, C., Yan, X., Zhang, Z., Ding, C., Zhao, T., Jannati, S., ... & Stout, D. (2024, October). Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-grained Motor Behavior Recognition. In 2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA) (pp. 1-8). IEEE.
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A data-driven approach for performance evaluation of autonomous evtols
Published in IEEE Transactions on Aerospace and Electronic Systems, 2024
Recommended citation: Sarkar, M., Yan, X., Gebru, B., Nuhu, A. R., Gupta, K. D., Vamvoudakis, K. G., & Homaifar, A. (2024). A data-driven approach for performance evaluation of autonomous evtols. IEEE Transactions on Aerospace and Electronic Systems.
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talks
A supervised feature selection method for mixed-type data using density-based feature clustering
Published:
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.