Faisal Ahmed

Title
Visiting Assistant Professor
Email
Department
Mathematics Department
College
College of Arts & Sciences

Dr. Faisal Ahmed is a distinguished educator, researcher and data scientist with extensive experience in university-level teaching and research. He holds a Ph.D. in Mathematics with a specialization in Data Science from the University of Texas at Dallas, where he developed expertise in Topological Data Analysis, Machine Learning and Deep Learning. Currently serving as a visiting assistant professor of Data Science and Mathematics, Dr. Ahmed is dedicated to fostering interdisciplinary collaboration and mentoring students in both cutting-edge research and practical data science applications.

Proficient in advanced programming languages such as Python, R, and SQL, Dr. Ahmed specializes in machine learning techniques, including Convolutional Neural Networks (CNN), Neural Networks, Natural Language Processing (NLP), and generative AI. His research contributions include the development of models like ToFi-ML and ToFo-CNN for medical image classification, which have been recognized in leading conferences such as IEEE and ICCV. Additionally, he has a proven track record of designing impactful curricula and delivering engaging coursework in Mathematics, Data Science and Machine Learning.

  • Ph.D. - Doctor of Philosophy in Mathematics, The University of Texas at Dallas
  • M.S. - Master of Science in Mathematics, The University of Texas at Dallas
DS312 - Machine Learning; DS317 - Statistical Software ; MA241 – Calculus & Analytical Geom I; MA243 – Calculus & Analytical Geom III

 1)  Faisal Ahmed. “A Hybrid Vision Transformer-Based Approach for Automated Diabetic Retinopathy and AMD Classification”.( Under Review: Proceedings of Machine Learning Research, 2025)

2) Emanuele Bossi and Faisal Ahmed. "Enhancing Sentiment Analysis with Feature Extraction and Dimensionality Reduction in Traditional Machine Learning Models". (Accepted paper in Intelligent Systems Conference 2025)

3)  Faisal Ahmed, Taymaz Akan, Fatih Gelir, Mohammad Alfrad Nobel Bhuiyan. " Alzheimers 3D MRI diseases detection with Topological Machine Learning." (Submitted paper in Journal)

4)  Brighton Nuwagira , Faisal Ahmed, and Baris Coskunuzer. "Topological Machine Learning for Computer- Aided Diagnosis in Medical Imaging." In Proceedings of Conference on Health, Inference, and Learning (CHIL), 2024 (Submitted).

5)  Faisal Ahmed and Baris Coskunuzer. "Topo-Net: Retinal Image Analysis with Topological Deep Learning." medRxiv (2024): 2024-02. [Pre-print paper accepted and published by medRxiv journal]

6)  Faisal Ahmed, Brighton Nuwagira, Furkan Torlak, and Baris Coskunuzer. "Topo-CXR: Chest X-ray TB and Pneumonia Screening with Topological Machine Learning." In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 2326-2336. 2023.

7)  Faisal Ahmed ,  Ankur Yadav, Ovidiu Daescu, Reyhan Gedik, and Baris Coskunuzer. "Histopathological Cancer Detection with Topological Signatures." In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1610-1619. IEEE, 2023.

8) Faisal Ahmed and Baris Coskunuzer. "ToFi-ML: Retinal Image Screening with Topological Machine Learning." In Annual Conference on Medical Image Understanding and Analysis, pp. 281-297. Cham: Springer Nature Switzerland, 2023.

1) Visiting Assistant Professor of Data Science and Mathematics at ERAU-Prescott (August, 2024 – Present )

2) Data Science Engineer/Asst. Trainer at BroadAxis, Inc ( February, 2024 – Aug, 2024 )

3) Graduate Teaching Assistant at UT Dallas (August, 2018 – December, 2023)