Brief Bio
Sana Fatima is a Computer Engineer with expertise in machine learning, deep learning, and computer vision. She has experience in academia and research, including an international internship in Canada under the Mitacs GRA program. Her research focuses on medical image analysis, particularly skin histology segmentation using transformer-based models and incremental learning.
She is currently serving as a Lecturer, delivering courses in Computer Engineering and IT while contributing to curriculum development and student mentorship.
| Education | ||
|---|---|---|
|
Master of Computer Engineering |
College of Electrical & Mechanical Engineering, NUST |
2024 |
|
Bachelor of Computer Engineering |
Bahauddin Zakariya University, Multan |
2021 |
| Professional Experience | ||
|---|---|---|
|
Lecturer |
University of Southern Punjab, Multan |
2025 – Till now |
|
Lecturer |
NFC |
2025 |
|
Mitacs GRA Intern |
Canada |
2024 |
|
Lab Engineer |
NUST EME |
2023 – 2024 |
|
Graphic Designer |
Freelance |
2022 |
|
CCNA Trainee (Cisco Certified Network Associate) |
— |
2021 – 2022 |
Certifications
- Huawei Certification in Routing & Switching — Corvit Campus Lahore
- Huawei Certification in Cloud Computing — Corvit Campus Lahore
- Graphics Designing — Erozgar
Professional Skills
- Machine Learning & Deep Learning
- Artificial Intelligence
- Python, C++, MATLAB
- Database Management Systems
- Networking (CCNA Level)
- Visual Studio, ModelSim, Dev C++
- Logisim
- Microsoft Office Suite
Research Interests
- Medical Image Analysis
- Deep Learning & Computer Vision
- Skin Histology Segmentation
- Incremental Learning
Current Projects
- Crypto Engine for RISC-V
Developed secure cryptographic processing system - Uber Pickup Data Analysis
Extracted insights to improve operational efficiency - Stock Market Prediction (ML-based)
Predicted bullish and bearish trends - Skin Tissue Layer Segmentation
Built transformer-based segmentation model - Rice Leaf Disease Classification
MobileNet CNN with transfer learning - Gesture Controlled Robot
Hardware-software integrated system using hand gestures - Activity & Sleep Monitoring System
Analyzed health data of 22 participants
| Title | Year | Published Link |
|---|---|---|
|
Deep learning in dermatopathology: applications for skin disease diagnosis and classification |
2025 |
Fatima, S., Akram, M. U., Mohammad, S., & Ahmed, S. B. (2025). Deep learning in dermatopathology: applications for skin disease diagnosis and classification. Discover Applied Sciences, 7(9), 1006. |
|
Incremental learning approach for semantic segmentation of skin histology images |
2026 |
Fatima, S., Salam, A. A., Akram, M. U., Hameed, I. A., & Ahmed, S. B. (2026). Incremental learning approach for semantic segmentation of skin histology images. Scientific Reports. |
Teaching & Supervision
Courses:
- Artificial Intelligence
- Machine Learning
- Computer Networks
- Programming Fundamentals
- Computer architecture
- Cloud database
- Operating system
- Information system audit
- Management information system
Teaching Philosophy
Focus on practical learning by integrating real-world problems with modern AI and computing techniques to build industry-ready graduates.
Collaborations and Honors
- Mitacs Global Research Internship (Canada)
Collaboration
Open to research collaborations in AI, deep learning, and medical image analysis.
Contact
- xxxx-xxxxxxx
- [email protected]