Assoc. Prof. Dr. Md. Jakir Hossen | Deep Learning for Computer Vision | Excellence in Research Award Published on 11/04/202611/04/2026 by Computer Vision Awards After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 8442 Register Here
Sheilla Ann Pacheco | Deep Learning for Computer Vision | Top Researcher in Computer Vision Award Published on 31/03/202631/03/2026 by Computer Vision Awards Assist. Prof. Dr. Sheilla Ann Pacheco | Deep Learning for Computer Vision | Top Researcher in Computer Vision Award North Eastern Mindanao State University | Philippines Dr. Sheilla Ann Bangoy Pacheco is an Assistant Professor at North Eastern Mindanao State University, specializing in machine learning, image processing, and adversarial AI. Her research focuses on robust facial recognition, privacy-preserving federated learning, and healthcare analytics. Her work on SARGAN-based face recognition and adversarial defense contributes to the development of secure and resilient biometric systems. Actively collaborating with international researchers, she adopts interdisciplinary approaches to address real-world challenges, particularly in healthcare and data privacy. Her contributions reflect growing societal relevance and a commitment to advancing trustworthy and secure artificial intelligence systems. Citation Metrics (Scopus) 15 10 5 0 Citations 10 Documents 5 h-index 2 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View ResearchGate Profile View Web of Science Profile Featured Publications Enhanced content-based image retrieval using multivisual features fusion. – International Journal of Computers and Applications, 47(10), 835–856. (2025). Citefd By: 4 Hidden adversarial attack on facial biometrics: A comprehensive survey. – Procedia Computer Science, 258, 1383–1390. (2025). Cited By: 2 Robust face recognition under adversarial attack using SARGAN model and improved cross triple MobileNetV1. – Lecture Notes in Networks and Systems. (2025). Cited By: 2 A comprehensive survey on federated learning and its applications in health care. – In 2024 6th IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (pp. 407–412). IEEE. (2024). Cited By: 1 Performance of students in computer programming: An analysis. – International Journal of Engineering Research in Computer Science and Engineering (IJERCSE), 10(1). (2023).
Sheilla Ann Pacheco | Machine Learning for Computer Vision | Editorial Board Member Published on 19/02/202610/03/2026 by Computer Vision Awards Assist. Prof. Dr. Sheilla Ann Pacheco | Machine Learning for Computer Vision | Editorial Board Member Faculty | North Eastern Mindanao State University | Philippines Sheilla Ann B. Pacheco is an Assistant Professor II of Computer Science at North Eastern Mindanao State University, Philippines. Her research focuses on image processing, machine learning, computer vision, and AI-driven healthcare applications. She has authored multiple peer-reviewed journal and conference publications, with works appearing in international venues such as Procedia Computer Science, International Journal of Computers and Applications, and IEEE conferences. Her studies address content-based image retrieval, facial biometrics, adversarial attacks, and ensemble learning for disease prediction. Through interdisciplinary collaborations, her research contributes to advancing robust AI systems with practical societal impact in healthcare, education, and security domains. Citation Metrics (Scopus) 30 20 10 5 0 Citations 9 Documents 8 h-index 2 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile View Google Scholar Profile Featured Publications Enhanced content-based image retrieval using multivisual features fusion. – International Journal of Computers and Applications. (2025). Cited By : 4 Robust face recognition under adversarial attack using SARGAN model and improved cross triple MobileNetV1. – In K. Arai (Ed.), Advances in Information and Communication: Proceedings of the Future of Information and Communication Conference (pp. 491–510). Springer. (2025). Cited By: 2 Hidden adversarial attack on facial biometrics – a comprehensive survey. -Procedia Computer Science. (2025). Cited By: 2 A comprehensive survey on federated learning and its applications in health care. – In Proceedings of the 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (pp. 407–412). IEEE.. (2024). Cited By: 1
Sheilla Ann B. Pacheco is an Assistant Professor II of Computer Science at North Eastern Mindanao State University, Philippines. Her research focuses on image processing, machine learning, computer vision, and AI-driven healthcare applications. She has authored multiple peer-reviewed journal and conference publications, with works appearing in international venues such as Procedia Computer Science, International Journal of Computers and Applications, and IEEE conferences. Her studies address content-based image retrieval, facial biometrics, adversarial attacks, and ensemble learning for disease prediction. Through interdisciplinary collaborations, her research contributes to advancing robust AI systems with practical societal impact in healthcare, education, and security domains. Citation Metrics (Scopus) 30 20 10 5 0 Citations 9 Documents 8 h-index 2 🟦 Citations 🟥 Documents 🟩 h-index View Scopus Profile View ORCID Profile View Google Scholar Profile Featured Publications Enhanced content-based image retrieval using multivisual features fusion. – International Journal of Computers and Applications. (2025). Cited By : 4 Robust face recognition under adversarial attack using SARGAN model and improved cross triple MobileNetV1. – In K. Arai (Ed.), Advances in Information and Communication: Proceedings of the Future of Information and Communication Conference (pp. 491–510). Springer. (2025). Cited By: 2 Hidden adversarial attack on facial biometrics – a comprehensive survey. -Procedia Computer Science. (2025). Cited By: 2 A comprehensive survey on federated learning and its applications in health care. – In Proceedings of the 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (pp. 407–412). IEEE.. (2024). Cited By: 1