Scholarship and Creative Expressions per year
Scholarship and Creative Expressions per year
Personal profile
Biography
Dr. Letu Qingge is an Associate Professor in the Department of Computer Science at North Carolina A&T State University (NCAT), NC. His research focuses on algorithms and combinatorial optimization, machine learning and deep learning, bioinformatics and computational biology, image processing and computer vision. His papers received ISBRA 2024 Best Paper Award at the 20th International Symposium on Bioinformatics Research and Application (ISBRA 2024), BICOB 2024 Best Paper Award Finalist at the 16th International Conference on Bioinformatics and Computational Biology (BICOB 2024) and IEEE UEMCON 2023 Best Paper Award at the IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON 2023). His research has been funded by the National Science Foundation and National Institute of Health. He is a recipient of 2024-2025 Academic Advising Excellence Award (Faculty) for the College of Engineering and 2025 Advisor to the Recipient of the Outstanding Thesis Award at North Carolina A&T State University.
Education/Academic qualification
Computer Science, Ph.D., Computational Investigation on Protein Sequencing and Genome Rearrangement Problems, Montana State University
… → 2018
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 8 Decent Work and Economic Growth -
SDG 12 Responsible Consumption and Production
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Accelerating the neural network controller embedded implementation on FPGA with novel dropout techniques for a solar inverter
Sturtz, J., Surendranath, K. K. D., Sam, M., Fu, X., Hingu, C. D., Challoo, R. & Qingge, L., Nov 1 2024, In: Pervasive and Mobile Computing. 104, 101975.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Edge-Guided Mural Image Inpainting by Integrating Local and Global Information and Multiple Color Spaces
Li, G., Qingge, L., Pan, Q. & Yang, P., Jan 1 2024, In: Proceedings - IEEE International Conference on Multimedia and Expo.Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Efficient Federated Learning with Multi-Teacher Knowledge Distillation for COVID-19 Detection
Annan, R., Qin, H., Yuan, X., Roy, K., Newman, R. & Qingge, L., Dec 16 2024, In: ACM-BCB 2024 - 15th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. 56.Research output: Contribution to journal › Conference article › peer-review
2 Scopus citations -
Generative AI Models for the Protein Scaffold Filling Problem
Qingge, L., Badal, K., Annan, R., Sturtz, J., Liu, X. & Zhu, B., 2024, In: Journal of Computational Biology.Research output: Contribution to journal › Article
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Probabilistic and Machine Learning Models for the Protein Scaffold Gap Filling Problem
Badal, K., Qingge, L., Liu, X. & Zhu, B., Jan 1 2024, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 14956 LNBI, p. 28-39 12 p.Research output: Contribution to journal › Conference article › peer-review
2 Scopus citations