Daniel Sierra-Sosa Headshot

Department

  • Electrical Engineering and Computer Science

    • School

  • School of Engineering

    • Expertise

  • Quantum Computing
  • Machine Learning
  • Data Science

    • Bio

    Dr. Daniel Sierra-Sosa is an Assistant Professor in the Department of Electrical Engineering and Computer Science at The Catholic University of America. He is an active researcher in the fields of quantum computing, machine learning, healthcare data processing, image processing, and data analytics.

    Dr. Sierra-Sosa has been involved in multiple research activities, including industry contracts, collaborations with public health entities, and other academic partners; in addition to his involvement in academic research proposals. Prior to joining The Catholic University of America, he participated in a collaborative industry initiative with a healthcare company, working on projects that included mobile application development, virtual reality, medical imaging, and predictive analytics. He has led various projects and has taken significant responsibilities in mentoring graduate and undergraduate students. He is the co-author and lead author of several manuscripts published in recognized journals. Dr. Sierra-Sosa is also a Qiskit Advocate and a certified instructor in quantum computing, data science, and artificial intelligence.

    Publications

    1. Data rotation and its influence on quantum encoding. Sierra-Sosa, D., Pal, S., & Telahun, M. (2023). Quantum Information Processing, 22(1), 89.
    2. A Robust Pedestrian Re-Identification and Out-Of-Distribution Detection Framework. Bouzid, A., Sierra-Sosa, D., & Elmaghraby, A. (2023). Drones, 7(6), 352.
    3. Directional Statistics-Based Deep Metric Learning for Pedestrian Tracking and Re-Identification. Bouzid, A., Sierra-Sosa, D., & Elmaghraby, A. (2022). Drones, 6(11), 328.
    4. Using quantum computing to solve the maximal covering location problem. Giraldo-Quintero, A., Lalinde-Pulido, J. G., Duque, J. C., & Sierra-Sosa, D. (2022). Computational Urban Science, 2(1), 1-14.
    5. Quantum Machine Learning Applications in the Biomedical Domain: A Systematic Review. Maheshwari, D., Garcia-Zapirain, B., & Sierra-Sosa, D. (2022). Ieee Access.
    6. Making Cities Smarter—Optimization Problems for the IoT Enabled Smart City Development: A Mapping of Applications, Objectives, Constraints. Syed, A. S., Sierra-Sosa, D., Kumar, A., & Elmaghraby, A. (2022). Sensors, 22(12), 4380.
    7. BINER: A low-cost biomedical named entity recognition. Asghari, M., Sierra-Sosa, D., & Elmaghraby, A. S. (2022). Information Sciences, 602, 184-200.
    8. Multi-layer data integration technique for combining heterogeneous crime data. Ahmed, S., Gentili, M., Sierra-Sosa, D., & Elmaghraby, A. S. (2022). Information Processing & Management, 59(3), 102879.
    9. Euler-Rodrigues Parameters: A Quantum Circuit to Calculate Rigid-Body Rotations. Pelaez, E., Das, A., Chani, P. S., & Sierra-Sosa, D. (2022). arXiv preprint arXiv:2203.12943.
    10. A Deep Convolutional Neural Network-XGB for Direction and Severity Aware Fall Detection and Activity Recognition. Syed, A. S., Sierra-Sosa, D., Kumar, A., & Elmaghraby, A. (2022). Sensors, 22(7), 2547.
    11. Variational Quantum Classifier for Binary Classification: Real vs Synthetic Dataset. Maheshwari, D., Sierra-Sosa, D., & Garcia-Zapirain, B. (2021). IEEE Access.
    12. IoT in Smart Cities: A Survey of Technologies, Practices and Challenges. Syed, A. S., Sierra-Sosa, D., Kumar, A., & Elmaghraby, A. (2021). Smart Cities, 4(2), 429-475.
    13. Deep Learning Models for Colorectal Polyps, Bardhi, O., Sierra-Sosa, D., Garcia-Zapirain, B., & Bujanda, L. (2021). Information, 12(6), 245.
    14. Diabetes Type 2: Poincaré Data Preprocessing for Quantum Machine Learning. Sierra-Sosa, D., Arcila-Moreno, J. D., Garcia-Zapirain, B., & Elmaghraby, A. (2021), Computers, Materials & Continua 67 (2), 1849-1861
    15. Exploiting Deep Learning Techniques for Colon Polyp Segmentation. Daniel Sierra-Sosa, Sebastian Patino-Barrientos, Begonya Garcia-Zapirain, Cristian Castillo-Olea, Adel Elmaghraby. Computers, Materials & Continua. Vol, 67, Issue 2. Tech Science Press. 1629-1644.
    16. Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models. Abbaschian, B. J., Sierra-Sosa, D., & Elmaghraby, A. (2021). Sensors, 21(4), 1249.
    17. Poincare sphere noise filtering for singularities in dynamic speckle activity: Application to paint drying time measurement. Amado, A. L. V., Sierra-Sosa, D., Elmaghraby, A., Grumel, E., Rabal, H., & Tebaldi, M. (2021). Optics and Lasers in Engineering, 136, 106317.
    18. TensorFlow Quantum: Impacts of Quantum State Preparation on Quantum Machine Learning Performance. Sierra-Sosa, D., Telahun, M., & Elmaghraby, A. (2020). IEEE Access, 8, 215246-215255.
    19. A topic modeling framework for spatio-temporal information management. Asghari, M., Sierra-Sosa, D., & Elmaghraby, A. S. (2020). Information Processing & Management, 57(6), 102340.
    20. Aggregate density-based concept drift identification for dynamic sensor data models”. Asghari, M., Sierra-Sosa, D., Telahun, M., Kumar, A., & Elmaghraby, A. S. (2020). Neural Computing and Applications, 1-13.
    21. Dementia prediction applying variational quantum classifier. Sierra-Sosa, D., Arcila-Moreno, J., Garcia-Zapirain, B., Castillo-Olea, C., & Elmaghraby, A. (2020). arXiv preprint arXiv:2007.08653.
    22. Malicious text identification: deep learning from public comments and emails. Baccouche, A., Ahmed, S., Sierra-Sosa, D., & Elmaghraby, A. (2020). Information, 11(6), 312.
    23. Heuristic Analysis for In-Plane Non-Contact Calibration of Rulers Using Mask R-CNN. Telahun, M., Sierra-Sossa, D., & Elmaghraby, A. S. (2020). Information, 11(5), 259.
    24. Kudo’s classification for colon polyps assessment using a deep learning approach. Patino-Barrientos, S., Sierra-Sosa, D., Garcia-Zapirain, B., Castillo-Olea, C., & Elmaghraby, A. (2020). Applied Sciences, 10(2), 501.
    25. A convolutional neural network algorithm for colon polyp detection. Bardhi, O., Sierra-Sosa, D., Garcia-Zapirain, B., & Elmaghraby, A. (2019, November). In BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY (Vol. 125, pp. 7-7). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY.
    26. Scalable Healthcare Assessment for Diabetic Patients using Deep Learning on Multiple GPUs, Daniel Sierra-Sosa, Begonya Garcia-Zapirain, Cristian Castillo, Ibon Oleagordia, Roberto Nuño-Solinis, Maider Urtaran-Laresgoiti, Adel Elmaghraby (2019). IEEE Transactions on Industrial Informatics.
    27. Detection of Volatile Compounds Emitted by Bacteria in Wounds Using Gas Sensors. Salinas Alvarez, C., Sierra–Sosa, D., Garcia–Zapirain, B., Yoder–Himes, D., & Elmaghraby, A. (2019). Sensors, 19(7), 1523.