Research

Submission Deadlines for Conferences (Deadlines are around the dates, for accurate ones you will need to visit its official websites):
1. International Joint Conference on Artificial Intelligence (IJCAI) Jan 11
2. International Conference on Machine Learning (ICML) Jan 09 (Open review); Feb 01 submission deadline
3. KDD Feb 01
4. ACL Web Feb 15
5. International Conference on Advances in Social Networks Analysis and Mining (ASONAM) April 30 (Research Track); May 10 (Industrial Track)
6. The Conference on Information and Knowledge Management (CIKM) May 13 (abstract deadline); May 20 (Full paper)
7. Neural Information Processing Systems (NeurIPS) May 11
8. Empirical Methods in Natural Language Processing (EMNLP) June 15
9. IEEE International Conference on Data Mining (ICDM) July 1
10. AAAI August 15
11. IEEE Big Data September 08
12. SIAM International Conference on Data Mining (SDM) September 15
13. TheWebConf (WWW) October 05
14. International Conference on Artificial Intelligence and Statistics (AISTATS) October 06
15. European ACL Oct 15
16. The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Nov 15
17. The Conference on Computer Vision and Pattern Recognition (CVPR) Nov 18

Journals

Grants
1. NSF #2219614 (PI) Collaborative Research: CISE-MSI: DP: IIS: Event Detection and Knowledge Extraction via Learning and Causality Analysis for Resilience Emergency Response, $320,368(Meharry) / $600,000 (Total), 2023-2025, National Science Foundation
2. NSF #2302274 (PI) Excellence in Research: Harnessing Big Data and Domain Knowledge to Advance Deep Learning for Interpretable Cell Quantitation, $599,995, 2023-2026, National Science Foundation
3. Meharry (PI) Quantitating Biological Cells from Microscopy Images using Deep Learning, $15,000, 2023, Meharry Medical College
4. NIH #3U54MD007586-37S3 (Co-PI) Supplement: Administrative Supplements for Ethical Considerations in Artificial Intelligence and Machine Learning (AI/ML) at NIMHD-Funded Research Centers in Minority Institutions (RCMI), $218,250, 2023-2024, National Institutes of Health
5. NSF (PI) REU Supplement: CISE-MSI: DP: IIS: Event Detection and Knowledge Extraction via Learning and Causality Analysis for Resilience Emergency Response, $16,000, 2023-2024, National Science Foundation

Publications - Disaster Resilience

Below are some examples:

Ademola Adesokan, Sanjay Madria, Long Nguyen DisTGranD: Granular event/sub-event classification for disaster response, Online Social Networks and Media, 2024. Accepted. PDF

Ademola Adesokan, Sanjay Madria, Long Nguyen FReCS: A First Responder Classification System, Advances in Social Networks Analysis and Mining (ASONAM), 2024. Accepted. PDF

L Nguyen, Z Yang, J Li, Z Pan, G Cao, F Jin Forecasting people's needs in hurricane events from social network, IEEE Transactions on Big Data, accepted 2022 PDF

Zhou Yang; Long Nguyen; Jiazhen Zhu; Zhenhe Pan; Jia Li; Fang Jin Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning, Advances in Social Networks Analysis and Mining (ASONAM), 2020, Accepted. PDF

Publications - Public Health
Can be seen more completely at Google Scholar
Below are some examples:
- Long Nguyen, Muzhe Guo, Hongfei Du, and Fang Jin. When Patients Recover From COVID-19: Data-Driven Insights From Wearable Technologies, Frontiers in Big Data, 2022. Accepted. PDF
- H Abu-gellban, L Nguyen, F Jin Gfdlecg: Pac classification for ecg signals using gradient features and deep learning, Advances in Data Science and Information Engineering
- HL Nguyen, Z Pan, H Abu-Gellban, Y Zhang. Google trends analysis of covid-19 pandemic, 2020 IEEE International Conference on Big Data (Big Data)
- Zhou Yang, Long Nguyen, and Fang Jin. Opioid Relapse Prediction with GAN, the 2019 IEEE/ACM International Conference on Social Networks Analysis and Mining, ASONAM 2019. August, 2019. Vancouver, Canada. Acceptance rate 14%.

CAREER Resources