Faisal Ahmed

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

Dr. Faisal Ahmed is a dedicated educator and researcher with a strong background in university-level teaching and scholarly work. He earned his Ph.D. in Mathematics with a focus on Data Science from the University of Texas at Dallas, where his research centered on Topological Data Analysis, Machine Learning and Deep Learning.

Currently serving as an Assistant Professor of Mathematics, Dr. Ahmed is actively involved in teaching blended courses such as Mathematics (Calculus I, Calculus III), Data Science and Statistics. He is committed to fostering interdisciplinary learning and supporting student growth through both research mentorship and classroom instruction.

Dr. Ahmed is proficient in programming languages including Python, R and SQL, and his academic interests span a wide range of machine learning methods, such as Convolutional Neural Networks (CNN), Neural Networks, Natural Language Processing (NLP) and generative AI. His research includes the development of innovative models like ToFi-ML and Topo-CNN for medical image classification, presented at leading venues such as IEEE and ICCV.

  • 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

  • Faisal Ahmed and  Mohammad Alfrad Nobel Bhuiyan,  Baris Coskunuzer. “Topological Signatures vs. Gradient Histograms: A Comparative Study for Medical Image Classification.” Submitted paper for publication in Journal  of Lancet Digital Health. 
  • Faisal Ahmed and  Mohammad Alfrad Nobel Bhuiyan,  Baris Coskunuzer. “HOG-CNN: Integrating Histogram of Oriented Gradients with Convolutional Neural Networks for Retinal Image Classification.” Submitted paper  for publication in Journal of Computers in Biology and Medicine. 
  • Faisal Ahmed, Mohammad Alfrad Nobel Bhuiyan,  Baris Coskunuzer. “Topo-CNN: Retinal Image Analysis with Topological Deep Learning.” Accepted paper for publication in Journal of Imaging Informatics in Medicine. 
  • Faisal Ahmed. “A Hybrid Vision Transformer-Based Approach for Automated Diabetic Retinopathy and AMD Classification”.( Accepted paper in SSRN journal. Preprint Paper Link: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5166835)
  • 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)
  • Faisal Ahmed, Taymaz Akan, Fatih Gelir, Mohammad Alfrad Nobel Bhuiyan. " Alzheimers 3D MRI diseases detection with Topological Machine Learning." (Accepted paper in AMIA 2025 Clinical Informatics  Conference by the Scientific Program Committee (SPC))
  • 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).
  • 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]
  • 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.
  • 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.
  • 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.
  • Visiting Assistant Professor of Data Science and Mathematics at ERAU-Prescott (August 2024 – Present)
  • Data Science Engineer/Asst. Trainer at BroadAxis, Inc (February 2024 – August 2024 )
  • Graduate Teaching Assistant at UT Dallas (August 2018 – December 2023)