• [June 2023] Our collaborative work with Dr. Godavarty titled “Deep Learning Algorithms to Classify Fitzpatrick Skin Types for Smartphone-Based NIRS Imaging Device” has been published in the proceedings of Next-Generation Spectroscopic Technologies XV. Congratulations to Masrur and Daniela.
  • [April 2023] Our work titled “MOGAT: An Improved Multi-Omics Integration Framework Using Graph Attention Networks” has been accepted for presentation at RECOMB Computational Cancer Biology, Instanbul, Turkey. Congratulations to Tanvir, Mezbah, and Masrur.
  • [April 2023] Our collaborative work with Dr. Godavarty titled “Deep Learning Algorithms to Classify Fitzpatrick Skin Types for Smartphone-Based NIRS Imaging Device” has been accepted for presentation at SPIE Defense + Commercial Sensing, Orlando, Florida. Congratulations to Masrur and Daniela.
  • [March 2023] Our collaborative work with Dr. Dimitroff titled “Navigating the CAR-T cell glycome to find tools to improve anti-tumor activity in Diffuse Large B Cell Lymphoma” has been accepted for presentation at Glycobiology Gordon Research Conference, Ventura, CA. Congratulations to Tanvir.
  • [March 2023] Our work titled “Multi-Omics Integration Using Graph Neural Network” was presented at Translational Research Symposium, Port St. Lucie, FL. Congratulations to Mezbah, Masrur, and Tanvir.
  • [March 2023] Our work titled “Graph Attention Network-based Multi-Omics Integration for Cancer Subtype Prediction” was presented at Translational Research Symposium, Port St. Lucie, FL. Congratulations to Tanvir, Mezbah, and Masrur.
  • [March 2023] Our work titled “Game Theory in Cancer Precision Medicine” was presented at Translational Research Symposium, Port St. Lucie, FL. Congratulations to Masrur, Tanvir, and Mezbah.
  • [March 2023] Our collaborative work with Dr. Dimitroff titled “Targets for Immunotherapy: Dysregulated levels of Galectins in Diffuse Large B cell Lymphomas” was presented at Translational Research Symposium, Port St. Lucie, FL. Congratulations to Tanvir.
  • [March 2023] Our collaborative work titled “Epitopedia: identifying molecular mimicry between pathogens and known immune epitopes,” has been accepted for publication in ImmunoInformatics. Congratulations to Christian and Masrur.
  • [March 2023] Our work titled “Graph Attention Network-based Multi-Omics Integration for Cancer Subtype Prediction,” was presented at NCI Spring School on Algorithmic Cancer Biology, NIH, Bethesda. Congratulations to Tanvir, Mezbah, and Masrur.
  • [December 2022] Our work titled “An Autoencoder Based Bioinformatics Framework for Predicting Prognosis of Breast Cancer Patients” has been accepted for presentation and publication in the 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Congratulations to Tanvir and Masrur.
  • [December 2022] Our work titled “Explainable Machine Learning to Identify Patient-specific Biomarkers for Lung Cancer” has been accepted for presentation and publication in the 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Congratulations to Masrur.
  • [December 2022] Our collaborative work with Dr. Godavarty titled “Subject Skin Tone Classification with Implications in Wound Imaging using Deep Learning” has been accepted for presentation and publication in the 2022 International Conference on Computational Science and Computational Intelligence (CSCI). Acceptance rate: 19%. Congratulations to Masrur and Daniela.
  • [September 2022] Dr. Mondal is serving as a PC member of the 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) to be held in Las Vegas, USA.
  • [August 2022] Dr. Mondal received a National Institute of Health R01 award of $2.1M as a CoI with the PI, Dr. Anuradha Godavarty, to investigate machine learning and deep learning approaches for analyzing diabetic foot ulcer images.
  • [August 2022] Dr. Mondal accepted the invitation to work as a Guest Editor for PLOS Computational Biology.
  • [August 2022] Md. Mezbahul Islam joined MLDAG as a Ph.D. Student. Welcome to Mezbah.
  • [July 2022] MLDAG team led by Dr. Mondal successfully conducted a 5-week summer research workshop for high school students under the NSF CAREER project. Congratulations to high school students – Aakash Suresh, Kevin Toledo, Ruchik Vansadia, and Trisha Chapagain and Ph.D. Students – Masrur and Tanvir.
  • [June 2022] Our collaborative work titled “Potential Autoimmunity Resulting from Molecular Mimicry between SARS-CoV-2 Spike and Human Proteins,” has been accepted for publication in Viruses, 2022. (IF: 5.818). Congratulations to Janelle and Masrur.
  • [June 2022] Our collaborative work titled “Molecular Mimicry Between SARS-CoV-2 Spike and Human Proteins,” has been accepted for publication in American Society for Microbiology Annual Conference Microbe 2022. Congratulations to Vitalii and Masrur.
  • [June 2022] Our collaborative work titled “Skin Tone Benchmark Dataset for Diabetic Foot Ulcers and Machine Learning to Discover the Salient Features” has been accepted for presentation in the 26th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV) 2022. Acceptance rate: 20%. Congratulations to Masrur and Kacie.
  • [April 2022] Our collaborative work titled “EMoMiS Tool Identifies Molecular Mimicry Between SARS-CoV-2 Spike and Many Viral Immunogenic Proteins,” has been accepted for presentation at Microbiology Society Annual Conference 2022. Congratulations to Vitalii and Masrur.
  • [March 2022] Abdullah Al Mamun has successfully defended his dissertation titled “A Machine Learning Framework for Identifying Molecular Biomarkers from Transcriptomic Cancer Data.” Congratulations to Dr. Mamun!
  • [March 2022] Dr. Mondal is serving as a PC member of the 31st ACM International Conference on Information and Knowledge Management (CIKM2022) to be held in Atlanta, USA.
  • [March 2022] Dr. Mondal is serving as the workshop Co-Chair of the 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) to be held in Las Vegas, USA.
  • [March 2022] Our work titled “Deep Learning Algorithm Identified Patient-specific Biomarker Genes to Explain Lung Cancer Disparity,” has been accepted for presentation at the 2022 RCMI Consortium National Conference. Congratulations to Masrur and Tanvir.
  • [February 2022] Our collaborative work titled “Machine learning algorithms to classify Fitzpatrick skin types during tissue oxygenation mapping,” has been accepted for presentation at Optica Biophotonics Congress: Biomedical Optics, 2022. Congratulations to Masrur and Kacie.
  • [October 2021] Our paper titled “Multi-Run Concrete Autoencoder to Identify Prognostic lncRNAs for 12 Cancers,” has been accepted for publication in the International Journal of Molecular Sciences, 2021. (IF: 5.923). Congratulations to Abdullah, Tanvir, and Masrur.
  • [August 2018] Dr. Mondal joined as a tenure track Assistant Professor in the School of Computing and Information Sciences at Florida International University (FIU).
  • [April 2017] Dr. Mondal received the prestigious NSF CAREER Award titled “CAREER: RUI: NetDA — Protein Network-Based Software for Disease Analysis Using Cliques, Bipartite Graphs, and Diffusion Kernels.”