Tawfiq Salem
Computer Science · Purdue University West Lafayette
Publications
33
Citations
254
Est. group size
~2
Recurring co-author estimate
Active years
11
Publishing since 2016
Tawfiq Salem works in computer science, applying deep learning and computer vision to problems such as medical image analysis (chest X-rays, breast cancer detection), food image recognition, and detection of manipulated digital media. More recently, the work has shifted toward tools and studies for programming education, including AI-assisted learning environments and tracing how students interact with AI while coding.
Publication output has fluctuated over the past decade, with an initial peak around 2019, a dip in 2021 and 2023, and renewed growth from 2024 through 2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- ChartCode: A Flowchart-Centric Educational Tool for Introductory Programming
2026
- Fine-Tuned Segment Anything Model with Low-Rank Adaptation for Chest X-Ray Images
Diagnostics · 2026
- Tracing Prompt-Level Trajectories to Understand Student Learning with AI in Programming Education
arXiv (Cornell University) · 2026
- Tracing Prompt-Level Trajectories to Understand Student Learning with AI in Programming Education
arXiv (Cornell University) · 2026
- Tracing Prompt-Level Interaction Trajectories to Understand Student Learning with LLMs in Programming Education
Lecture notes in computer science · 2026
- ChartCode: A Flowchart-Based Tool for Introductory Programming Courses
2025
- Zero-Shot SAM for Food Image Segmentation
Electronics · 2025
- Segment Anything in Food Images
2024
- Attention guided approach for food type and state recognition
Food and Bioproducts Processing · 2024
- LEARNDB: A Comprehensive Toolkit for Database Education
2024
- Interactive Learning Modules for Fostering Secure Coding Proficiency in Introductory Programming Courses
2024
- A Comprehensive Review of Deep Learning-Based Methods for COVID-19 Detection Using Chest X-Ray Images
IEEE Access · 2022
- Food State Recognition Using Deep Learning
IEEE Access · 2022
- Content-Aware Detection of Temporal Metadata Manipulation
IEEE Transactions on Information Forensics and Security · 2022
- iCAP
2022
- arXiv (Cornell University)×8
- IEEE Access×2
- IEEE Transactions on Information Forensics and Security×1
- Energies×1
- Expert Systems with Applications×1
- Tai-Yu Pan
Computer Science · The Ohio State University
- Shujon Naha
Computer Science · Indiana University
- Dongfang Liu
Computer Science · Purdue University West Lafayette
- Jonghoon Jin
Computer Science · Purdue University West Lafayette
- Zhi Tu
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile