Tawfiq Salem

Tawfiq Salem

Clinical Associate Professor
Purdue University
Email: tsalem[at]purdue.edu

Publications

Selected peer-reviewed publications. For the most current citation counts and complete publication record, see my Google Scholar profile.

2026

  1. Work on LoRA-SAM for chest X-ray image segmentation. Diagnostics, 2026.
  2. G. Xing, G. Liang, and T. Salem. ChartCode: A Flowchart-Centric Programming Platform. ACM Technical Symposium on Computer Science Education (SIGCSE TS), 2026.

2025

  1. Research on zero-shot food recognition using vision-language models, 2025.
  2. G. Xing, T. Salem, and G. Liang. ChartCode: A Flowchart-Centric Environment for CS0/CS1 Programming Education. ACM Technical Symposium on Computer Science Education (SIGCSE TS), 2025.

2024

  1. G. Xing, G. Liang, and T. Salem. LEARNDB. ACM Technical Symposium on Computer Science Education (SIGCSE TS), 2024.
  2. G. Xing, G. Liang, and T. Salem. Interactive Secure Coding Modules for Introductory Programming. ACM Technical Symposium on Computer Science Education (SIGCSE TS), 2024.
  3. Research on digital pump optimization. Expert Systems with Applications, 2024.
  4. Research on digital pump optimization. Processes, 2024.

2023

  1. G. Xing, G. Liang, and T. Salem. Research on an interactive in-class assessment platform for introductory programming. ACM Technical Symposium on Computer Science Education (SIGCSE TS), 2023.

2022

  1. R. Padilha, T. Salem, S. Workman, F. A. Andaló, A. Rocha, and N. Jacobs. Content-Aware Detection of Temporal Metadata Manipulation. IEEE Transactions on Information Forensics and Security. Paper
  2. S. Alahmari and T. Salem. Food State Recognition Using Deep Learning. IEEE Access. Paper
  3. T. Salem, J. Hwang, and R. Padilha. Timestamp Estimation from Outdoor Scenes. ADFSL Conference on Digital Forensics, Security and Law. Paper
  4. S. Alahmari, B. Altazi, J. Hwang, S. Hawkins, and T. Salem. A Comprehensive Review of Deep Learning-Based Methods for COVID-19 Detection Using Chest X-Ray Images. IEEE Access. Paper

2020

  1. T. Salem, S. Workman, and N. Jacobs. Learning a Dynamic Map of Visual Appearance. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). PDF

2019

  1. Y. Zhang, G. Liang, T. Salem, and N. Jacobs. Defense-PointNet: Protecting PointNet Against Adversarial Attacks. The Next Frontier of Big Data From LiDAR Workshop, IEEE Big Data. Paper
  2. G. Liang, X. Wang, Y. Zhang, X. Xing, H. Blanton, T. Salem, and N. Jacobs. Joint 2D-3D Breast Cancer Classification. IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Paper
  3. T. Salem, C. Greenwell, H. Blanton, and N. Jacobs. Learning to Map Nearly Anything. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Paper
  4. W. Song, T. Salem, H. Blanton, and N. Jacobs. Remote Estimation of Free-Flow Speeds. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Paper

2018

  1. T. Salem, M. Zhai, S. Workman, and N. Jacobs. A Multimodal Approach to Mapping Soundscapes. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). PDF
  2. M. Zhai, T. Salem, C. Greenwell, S. Workman, R. Pless, and N. Jacobs. Learning Geo-Temporal Image Features. British Machine Vision Conference (BMVC). Paper
  3. T. Salem, M. Zhai, S. Workman, and N. Jacobs. A Multimodal Approach to Mapping Soundscapes. CVPR Workshop on Sight and Sound. PDF

2017

  1. W. Song, T. Salem, N. Jacobs, and M. Johnson. Detecting the Presence of Bird Vocalizations in Audio Segments Using a Convolutional Neural Network Architecture. International Symposium on Acoustic Communication by Animals, abstract.

2016

  1. T. Salem, S. Workman, M. Zhai, and N. Jacobs. Analyzing Human Appearance as a Cue for Dating Images. IEEE Winter Conference on Applications of Computer Vision (WACV). PDF