SMLHBD 2025
6th International Workshop on Scalable Machine Learning for Health and Biomedical Data (SMLHBD)
In conjunction with IEEE BIBM 2025
Schedule
SMLHBD workshop will be held virtually via Zoom.
The final date and schedule will be announced soon. Stay tuned !
Important Dates and Links
Follow this link to submit your paper: Submit Paper Here
Paper accepted in the workshop will appear in IEEE Xplore.
Selected paper will be invited to submit full-length journal paper at Oxford Bioinformatics Advances.
Full workshop papers submission: Oct 15, 2025 Oct 27th, 2025 (23:59pm any where on earth)
Notification of paper acceptance to authors: Nov 10, 2025
Camera-ready accepted papers: Nov 23, 2025
Workshop: Dec 15-18, 2025
Call for Papers
We are pleased to organize 6th Workshop on Scalable Machine Learning for Health and Biomedical data (SMLHBD) being organized in conjunction with IEEE BIBM 2025.
With the advent of high throughput biotechnology assays, we witness a surge in the complexity and size of biomedical data (i.e., omics, electronic health records, and imaging). Such complex and multimodal datasets have necessitated the development of advanced AI and machine learning models for effective analysis. In the last decade, several AI and machine learning-based methods resulted in scientific discoveries, practical systems biology solutions, and offered clinical diagnostic insights. Efficient and effective machine learning methods to integrate these datasets to decipher biological insights is a challenging problem. Furthermore, the availability of such large and heterogeneous datasets creates challenges to develop scalable machine learning methods. To this end, SMLHBD will introduce novel methods and techniques to harness these datasets effectively and efficiently.
The focus of SMLHBD (previously called HPC-BOD) is the latest machine learning/deep learning algorithms that integrate different biological data modalities to understand a key biological question such as predicting disease-associated genes, patient survival probability, and drug response. Particularly scalable machine learning methods to integrate large and complex biological datasets is the main topic of the workshop.
The workshop will feature submitted papers as well as invited papers and talks from reputed researchers in the field of machine learning, bioinformatics, and big data analytics. The selected papers in the previous versions of the workshop have appeared in PLOS One Special Collection and Frontiers in Bioinformatics. We plan to invite selected papers for a special issue to a journal, too.
Areas of interest include (but not limited to):
- Machine learning models for computational proteomics, proteogenomics, functional genomics, metabolomics and other omics technologies.
- Network and Graph representation methods for multi-omics integration (Network Omics data)
- Machine learning methods for computational neuroinformatics and connectomes including but not limited to XRay, EEG, MRI, CT, PET scans (Imaging and other data)
- Machine learning models for clinical Data, diagnosis, and prediction using EHR, imaging, omics data sets (multi modal data)
Submission guidelines
Please submit a full-length paper (up to 10 page IEEE 2-column format, reference pages counted in 10 pages, short paper (up to 5 pages IEEE 2-column format, including references) or extended abstract (2 pages IEEE 2-column format, including references) through the online submission system. Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. See link for more info: https://www.ieee.org/conferences/publishing/templates.html
SMLHBD technical program committee will review all submissions based on their originality, technical soundness, significance, presentation, and relevance to the conference attendees.
All submissions will be peer-reviewed by members from the program committee using a single-blind review process. At the time of submission, the author list should be final. Any subsequent changes to the author list post-submission needs to be done with the approval of the program chairs. Acceptance of any of these would mean an oral presentation. However, the authors would have to pay registration for the paper to be included in the IEEE BIBM proceedings.
The submission link is: Submit Paper Here
Important Dates
Full workshop papers submission: Oct 15, 2025 Oct 27th, 2025 (23:59pm any where on earth)
Notification of paper acceptance to authors: Nov 10, 2025
Camera-ready accepted papers: Nov 23, 2025
Workshop: Dec 15-18, 2025
Organization Committee
Workshop Chairs:
Fahad Saeed, Knight Foundation School of Computing, and Information Sciences, Florida International University, Miami, FL, USA (Email: fsaeed@fiu.edu)
Serdar Bozdag, Dept. of Computer Science and Engineering, Dept. of Mathematics, University of North Texas, Denton, TX, USA (Email: serdar.bozdag@unt.edu)
Program Committee
| Zeeshan Ahmed | Rutgers, The State University of New Jersey | USA |
| Mohammad Al Olaimat | University of South Florida | USA |
| Muaaz Awan | Lawrence Berkeley National Laboratory (Berkeley Lab) | USA |
| Brittany Baur | University of Michigan | USA |
| KAOUTAR BEN AHMED | FIU | USA |
| Jianlin Cheng | University of Missouri at Columbia | USA |
| Lenore Cowen | Tufts University | USA |
| Kimberly Glass | Brigham and Women’s Hospital | USA |
| Xuan Guo | University of North Texas | USA |
| Ajay Gupta | Western Michigan University | USA |
| Sita Sirisha Madugula | Oak Ridge National Laboratory | USA |
| Enrico Majorino | Harvard | USA |
| Mohammad Olaimat | USF | USA |
| Cagri Ozdemir | Delaware State University | USA |
| Christian Poellabauer | Florida International University | USA |
| Anna Ritz | Reed College | USA |
| Donna Slonim | Tufts University | USA |
| Ashok Srinivasan | University of West Florida | USA |
| Safee Ullah Chaudhary | LUMS | Pakistan |
| Xuyu Wang | Florida International University | USA |
| Yanzhao Wu | Florida International University | USA |
Keynote Speaker(s)
TBA
Previous Workshops