Top Researchers
Top Researchers in Neuroscience at University of Louisville for 2025
The University of Louisville’s 2025 neuroscience output shows a broad mix of inquiry, from brain stimulation and sleep-disordered breathing to imaging, cognition, and neural development. Across the sampled works, researchers are connecting clinical questions with methods from artificial intelligence, physiology, and cognitive science.
Below, you’ll find a closer look at the researchers whose recent work stood out over the year, along with the themes that appeared most often across the institution’s neuroscience activity.
Featured Researchers
Joseph S. Neimat
Joseph S. Neimat’s recent work at the University of Louisville centers on neurology and psychiatry, with studies on deep brain stimulation, mesial temporal lobe epilepsy, and long-term outcomes in depression treatment.
Activity this year: 6 indexed journal articles.
Top publications:
- Five-Year Outcomes from Deep Brain Stimulation of the Subthalamic Nucleus for Parkinson Disease (Sep 2025)
- Interstitial Thermal Therapy in Mesial Temporal Lobe Epilepsy (Jul 2025)
- Revisiting subcallosal cingulate deep brain stimulation for depression: Long-term safety and effectiveness outcomes from a pooled analysis of 172 implanted patients (Aug 2025)
Egambaram Senthilvel
Egambaram Senthilvel’s publications focus on physiology and respiratory health, especially sleep-disordered breathing in children, infants, and patients with craniofacial conditions.
Activity this year: 3 indexed journal articles.
Top publications:
Ayman El‐Baz
Ayman El-Baz’s recent publications bring artificial intelligence and imaging together for early autism diagnosis, retinal disease classification, and breast cancer detection.
Activity this year: 2 indexed journal articles.
Top publications:
- AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions (Jan 2025)
- Seg-Swin: A Dual-Attention Transformer Model for Advanced AMD Classification and Lesion Detection Using Color Fundus Imaging (Jan 2025)
- Evaluating Machine Learning Techniques for Breast Cancer Detection: A Comprehensive Review (Jan 2025)
Hossam Magdy Balaha
Hossam Magdy Balaha’s work combines artificial intelligence with radiology and computer vision, including Parkinson’s disease classification and vision-transformer approaches to breast cancer diagnosis.
Activity this year: 2 indexed journal articles.
Top publications:
- Comprehensive multimodal approach for Parkinson’s disease classification using artificial intelligence: insights and model explainability (Feb 2025)
- Revolutionizing breast cancer diagnosis: A computer-aided diagnosis framework with Vision Transformers for multistage histopathology-based classification (Dec 2025)
Thomas J. Wheeler
Thomas J. Wheeler’s recent output links molecular biology, surgery, and complementary approaches through discussions of Reiki and recovery-related care.
Activity this year: 2 indexed journal articles.
Top publications:
Faisal Aqlan
Faisal Aqlan’s recent studies apply extended reality, linguistic modeling, and interpretable computational methods to neurocognitive assessment and cognitive decline.
Activity this year: 3 indexed journal articles.
Top publications:
- Extended reality for neurocognitive assessment: A systematic review (Mar 2025)
- CharMark: character-level Markov modeling for interpretable linguistic biomarkers of cognitive decline (Nov 2025)
- Character-level linguistic biomarkers for precision assessment of cognitive decline: a symbolic recurrence approach (Dec 2025)
William Guido
William Guido’s research emphasizes cellular and molecular neuroscience, with recent studies on thalamic development, retinogeniculate signaling, and binocular interactions in the mouse visual thalamus.
Activity this year: 3 indexed journal articles.
Top publications:
- Progression of Cortical Layer 6 Input to First‐Order Thalamic Nuclei and the Thalamic Reticular Nucleus During Postnatal Development (Mar 2025)
- GABAergic Projections from the Pretectum Boost Retinogeniculate Signal Transfer via Disinhibition (Apr 2025)
- Cell-type specific binocular interactions in mouse visual thalamus (Jun 2025)
Shae D. Morgan
Shae D. Morgan’s recent papers examine cognitive neuroscience questions around auditory distraction, emotional dimensionality, and test design for emotion recognition.
Activity this year: 2 indexed journal articles.
Top publications:
What University of Louisville's Neuroscience Community Is Working On
The most common subfields point to a community working across computer vision, imaging, and artificial intelligence alongside core neuroscience areas such as molecular biology and cognitive neuroscience. That mix suggests an active research environment where diagnostic modeling, brain and sensory systems, and computational approaches are being brought together to study both disease and behavior. The range of topics also shows steady attention to clinical translation, from sleep and neurology to neurocognitive assessment.- Computer Vision and Pattern Recognition - seen across 3 of the featured researchers
- Radiology, Nuclear Medicine and Imaging - seen across 2 of the featured researchers
- Artificial Intelligence - seen across 2 of the featured researchers
- Molecular Biology - seen across 2 of the featured researchers
- Cognitive Neuroscience - seen across 2 of the featured researchers
Taken together, these researchers show how neuroscience at the University of Louisville spans the clinic, the lab, and data-driven approaches to diagnosis and assessment. If you’re exploring how teams organize and share research across a busy year, Resub can help support citation discovery, manuscript formatting, and submission preparation for your own workflow.