Submission Deadlines for Conferences (Deadlines are around the dates, for accurate ones you will need to visit its official websites):
- International Joint Conference on Artificial Intelligence (IJCAI) Jan 11
- International Conference on Machine Learning (ICML) Jan 09 (Open review); Feb 01 submission deadline
- KDD Feb 01
- ACL Web Feb 15
- International Conference on Advances in Social Networks Analysis and Mining (ASONAM) April 30 (Research Track); May 10 (Industrial Track)
- The Conference on Information and Knowledge Management (CIKM) May 13 (abstract deadline); May 20 (Full paper)
- Neural Information Processing Systems (NeurIPS) May 11
- Empirical Methods in Natural Language Processing (EMNLP) June 15
- IEEE International Conference on Data Mining (ICDM) July 1
- AAAI August 15
- IEEE Big Data September 08
- SIAM International Conference on Data Mining (SDM) September 15
- TheWebConf (WWW) October 05
- International Conference on Artificial Intelligence and Statistics (AISTATS) October 06
- European ACL Oct 15
- The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Nov 15
- The Conference on Computer Vision and Pattern Recognition (CVPR) Nov 18
Grants
- 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
- 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
- Meharry (PI) Quantitating Biological Cells from Microscopy Images using Deep Learning, $15,000, 2023, Meharry Medical College
- 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
- 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
Research
COVID-19 human-body response stages
We explore physiological signs in COVID-19 patients and see human responses in each symptom stage of COVID-19 such as mild, medium, or severe. This will lead to greatly resources saving for hospitals as they can hospitalize severe patients while the mild patients can still be taken care of remotely.
Opioid Relapse Prediction
Opioid addiction poses severe threats to public health, causing many deaths and massive social disruption. It is therefore critical to be able to predict whether or not a recovering opioid addict will relapse. Our goal is to model Opioid relapse prediction and then design a personalized intervention plan.
Publications
Can be seen more completely at Google ScholarBelow 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%.