• CIDA Lab has published a new article in Knowledge-based Computing - "DeepIFSAC: Deep imputation of missing values using feature and sample attention within contrastive framework", April 2025.

• CIDA Lab has published a new article in NeuroComputing - "Deep clustering of tabular data by weighted Gaussian distribution learning", January 2025

• CIDA Lab has published a new article, "Attention versus contrastive learning of tabular data: a data-centric benchmarking," in the Journal of Data Science and Analytics - November 2024. 

• CIDA Lab has been awarded a $200,000 NSF grant to research incremental learning of heterogeneous feature space, July 2024.

• CIDA Lab has released the first deep clustering algorithm for tabular data - Gaussian Cluster Embedding in Autoencdoer's Latent Space  (G-CEALS), May 2024

• Congratulations to Mr. Shourav Rabbani for successfully defending his master's thesis titled "Attention-based learning of Tabular Data", March 2024

• CIDA Lab has extensively benchmarked attention and contrastive learning of tabular data sets, January 2024

• CIDA Lab has been awarded an Amazon Research grant ($80,000) to conduct research on domain adaptation and data distribution alignment, August, 2023.

• CIDA lab is seeking a research associate in Data Science

• Dr. Samad has been awarded an $800,000 DoD research grant to conduct foundational machine learning research for four years.

• Dr. Samad is one of the six recipents of the T.I.G.E.R research award in the College of Engineering, April, 2023

• CIDA Lab Student Shourav Rabbani and his team won the best oral presentation award at TSU's annual research symposium, April 2023

• Congratulations to Maksims Kazijevs and Sakib Abrar for successfully defending their master's theses, March 2023

• CIDA Lab contributes a new pre-print on the survey and benchmarking of deep learning methods for imputing missing values in multivariate time-series data - February, 2023

• CIDA Lab has published a journal article in Neural Networks (Impact Factor ~10) - September, 2022.

• CIDA Lab presented new research on mining social media for predicting COVID-19 case counts at ICHI - 2022, at Mayo Clinic Civic Center

• Co-PI Dr. Manar Samad, in collaboration with the College of Agriculture, has received a $500,000 research grant from the National Institute of Food and Agriculture/USDA to investigate Artificial Intelligence solutions in Tomato Projects - June, 2022

• CIDA Lab article on missing value imputation has been published in Knowledge Based Systems (IF 8.0 Journal) - May, 2022

• Our new work on manifold regularized CNN

• CIDA lab has received a $421,700 grant from NIH to conduct research on data science and health informatics.

• Our research on COVID-19 is featured in TSU Spring 2020 Newsletter - see the research article here.

Prospective Graduate Students

• TSU - Department of Computer Science (CS) is now offering MS in CS degree with a Data Science concentration (Thesis/Non-thesis). 

• Ph.D. applicants are expected to complete a thesis-based MS in CS with at least one peer-reviewed publication.

• Prospective GRAs are expected to have UG GPA > 3.00, excellent Python programming, verbal and written communication skills.

• The CIDA lab will provide hands-on training, supervision, and funding support for students interested in working with the lab.

• For GRA opportunities, please contact us with your CV.