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By decorating a material's surface with tiny, resonating pillars connected by specially designed bridges, a team of researchers including Dr. Emil Prodan of the Katz School has crafted a system capable of guiding these waves precisely.
Clinical Associate Professor Christy Jared discussed the findings of her doctoral research study in June at the 41st International Human Science Research Conference, where she explored the lasting impact of childhood trauma on women’s health and well-being.
The COVID-19 pandemic inspired Alissha Greer, a 2022 graduate of the Katz School’s M.S. in Speech-Language Pathology, to write Pablo’s Pandemic, a children’s book that blends humor, heart and a powerful message about family and resilience during challenging times.
Researchers at the Katz School and New Jersey Institute of Technology argue that the key to unlocking the secrets of topological metals lies in advanced mathematical tools from the field of C*-algebras.
Five OT Doctorate alums, including Leeyah Azizi, left, co-authored the article “Developing a Scholar-Practitioner Mindset: Grounded in Research Informed by Practice, Rooted in Care,” published in the AOTA OT Practice magazine in December.
In a recent study, “Mutual Information Reduction Techniques and its Applications in Feature Engineering,” researchers in the Graduate Department of Computer Science and Engineering explore which features matter most in machine learning models.
One of the workshop’s highlights was a hands-on activity that demonstrated the practical value of generative AI. Participants collaborated to create detailed AI personas—fictional, data-driven profiles designed to simulate real-world scenarios.
A study co-authored by Dr. Marissa Barrera, program director of the M.S. in Speech-Language Pathology, suggests that combining Optical Coherence Tomography and Visual Evoked Potentials measurements will provide insights into the cognitive dysfunction of MS patients.
Researchers in the Graduate Department of Computer Science and Engineering are turning to advanced tools like reinforcement learning—a type of machine learning that mimics decision-making—to determine customer spending habits.
For the first time, a team of researchers has managed to create a 2D version of D-class topological phases using sound.
