What It Takes to Turn an AI Pilot Into Lasting Impact

Artificial Intelligence (AI) pilots get launched every day, but very few make it past the novelty stage. That tension is where this reflection begins. Data Science MS alum Eshaa Gogia, now a Data Engineer at Florida Blue in the Miami and Fort Lauderdale area, lays out why so many promising ideas never become scalable change…. continue reading

From Code to Care: A Vision for Data-Driven Healthcare

Originally from Andhra Pradesh, India, Geetanjali Kaza is a graduate student in Data Science at Rutgers University-Camden. With a Bachelor’s degree in Computer Science and Engineering and valuable work experience, she is dedicated to developing innovative methods for extracting meaningful insights from vast healthcare datasets. Her academic journey is driven by a passion for leveraging… continue reading

Using Deep Learning to Predict Brain Aging from MRI Scans

Eshaa Gogia, an alum of the Data Science MS program at Rutgers–Camden, and Iman Dehzangi, assistant professor in the Department of Computer Science, coauthored a new study with Arash Dehzangi. Their article, “Automated Subregional Hippocampus Segmentation Using 3D CNNs: A Computational Framework for Brain Aging Biomarker Analysis,” was published in Algorithms as part of a… continue reading

Transforming Ed Data into Actionable Insights

Turning raw educational data into meaningful insights requires more than just technical expertise—it takes a strategic approach to analytics. Nihil Kottal, a Data Science MS student at Rutgers Graduate School-Camden, has developed EduMetric Solutions, a Power BI tool designed to streamline data analysis in higher education. By integrating datasets from the Bureau of Labor Statistics,… continue reading

AI in Early Detection of Diabetic Retinopathy

Diabetic retinopathy (DR) is a leading cause of blindness among diabetic patients. Early detection is crucial to prevent severe visual impairment. In the paper “Detection of Diabetic Retinopathy using Deep Learning,” published in the proceedings of the 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), Kenil Patwa, a graduate student in the Data… continue reading

Applying Machine Learning to Aviation Traffic Challenges

Growing up in Kenya and trained in applied mathematics, Beryl Ochieng first entered the world of data through her work with national vital-statistics records. Seeing how gaps in information affected real decisions pushed her toward further study, a direction that led her to Rutgers–Camden, where she is completing her Master of Science in Data Science…. continue reading