Scholarship per year
Scholarship per year
Personal Information
About
Helen Dang is a Professor of Computer Science at Molloy University. Before that she was a research scientist at Umass Boston for many years. She received her PhD in Computer Science in 2010 and a PhD in Business Administration in 2013. She is the author or editor of six books and about 50 scientific papers. In addition, she is a PI/Co-PI or member of many national, ministerial, and corporate projects to solve real-world problems using computer science and artificial intelligence (AI). Her research interests include AI, Machine Learning, Deep Learning, Big Data analytics and some healthcare problems.
CV & Websites
Research Interests
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Big Data analytics
- some healthcare problems
Disciplines
- Computer Sciences
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Early detection of Alzheimer’s disease using squeeze and excitation network with local binary pattern descriptor
Francis, A., Pandian, S. I. A., Sagayam, K. M., Dang, L., Anitha, J., Dinh, L., Pomplun, M. & Dang, H., May 9 2024, In: Pattern Analysis and Applications. 27, 54.Research & Scholarship: Contribution to journal › Article
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Modified Playfair for Text File Encryption and Meticulous Decryption with Arbitrary Fillers by Septenary Quadrate Pattern
Sugirtham, N., Sherine Jenny, R., Thiyaneswaran, B., Kumarganesh, S., Venkatesan, C., Martin Sagayam, K., Dang, L., DInh, L. & Dang, H., Feb 1 2024, In: International Journal of Networked and Distributed Computing. 12, 1, p. 108-118 11 p.Research & Scholarship: Contribution to journal › Article › peer-review
Open Access -
A Novel Approach for IOT Based Crop Cultivation and Precision Agronomy
Dang, H., Mar 25 2023, 4th International Conference on Signal Processing and Communication (ICSPC) . (2023 4th International Conference on Signal Processing and Communication (ICSPC)).Research & Scholarship: Chapter in Book/Report/Conference proceeding › Conference contribution
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Development of Laser Beam Cutting Edge Technology and Iot Based Race Car Lapse Time Computational System
Thiyaneswaran, B., Ganasri, E., Hariharasudan, A. H., Kumarganesh, S., Sagayam, K. M., Dang, H. & Alkhayyat, A., Apr 5 2023, Low Power Architectures for IoT Applications.Research & Scholarship: Chapter in Book/Report/Conference proceeding › Chapter
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Intelligent computational techniques of machine learning models for demand analysis and prediction
Sundar, G. N., Xavier, K. A., Narmadha, D., Sagayam, K. M., Jone, A. A. A., Pomplun, M. & Dang, H., Jan 12 2023, In: International Journal of Intelligent Information and Database Systems. 16Research & Scholarship: Contribution to journal › Article › peer-review
Press & Media
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Faculty of Computer Science and Engineering Reports Findings in Meningeal Neoplasms (Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform)
9/18/23
1 item of Media coverage
Press & Media: Research