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 earned PhDs in Computer Science (2010) and Business Administration (2013). She is the author or editor of six books and about 60 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 & Professional Sites
Research Interests
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Big Data analytics
- some healthcare problems
Disciplines
- Computer Sciences
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Aggregated Approach for Interstitial Lung Diseases Classification Using Attention Based CNN and Radial Basis Function Neural Network
Kumarganesh, S., Shree, K. V. M., Rishabavarthani, P., Ganesh, C., Anthoniraj, S., Thiyaneswaran, B., Dang, L., Sagayam, K. M., Dinh, L. & Dang, H., Dec 2025, In: Systems and Soft Computing. 7, 200228.Research & Scholarship: Contribution to journal › Article › peer-review
Open Access -
An efficient model using deep convolutional neural networks for modeling underwater images
Chrispin Jiji, A., Bessant, Y. R. A., Sagayam, K. M., Jone, A. A., Dinh, L. & Dang, H., Apr 19 2025, In: Evolutionary Intelligence. 18, 3, 51.Research & Scholarship: Contribution to journal › Article › peer-review
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A Novel lightweight secure routing mechanism using Deep Reinforcement Learning for Body Area Sensor Networks
Jagannath, D. J., Sagayam, K. M., Dolly, D. R. J., Peter, J. D., Dinh, L. & Dang, H., 2025, In: Journal of Information Hiding and Multimedia Signal Processing. 16, 2, p. 525-540 16 p.Research & Scholarship: Contribution to journal › Article › peer-review
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Empowering Dysarthric Communication: Hybrid Transformer-CTC based Speech Recognition System
Vinotha, R., Hepsiba, D., Anand, L. D. V., Bruntha, P. M., Dinh, L. & Dang, H., May 8 2025, In: IEEE Access. 13, p. 82479-82491 13 p.Research & Scholarship: Contribution to journal › Article › peer-review
Open Access -
Enhancing pancreatic cancer detection through RIDT-RLC: A robust ensemble approach with gradient descent logit boosting
Murugan, K., Kumarganesh, S., Sagayam, K. M. & Dang, H., Sep 2025, In: Computers in Biology and Medicine. 196, 110857.Research & 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