Policy conversations in Washington, D.C. included Rutgers Graduate School–Camden last week, as graduate students stepped into meetings with congressional staff to speak directly about the conditions shaping their education and research. Graduate Student Organization (GSo) President Alwin Phillip, a Computer Science student, and Secretary Zion Harris, a Computational and Integrative Biology student, joined Kristina Cagle,… continue reading
Modern data centers depend on storage systems that are constantly active, even when they are not in use. Identifying when disks can safely enter low-power states without affecting performance is key to improving energy efficiency at scale. At SPARK! 2025 (Showcase of Projects, Art, Research, and Knowledge), Gaurangi Sandeepkumar Garg of the M.S. in Computer… continue reading
Artificial intelligence is already reshaping how research is conducted, how students learn, and how professionals work across industries. Last week, Rutgers University-Camden took a significant step toward engaging that future with the official launch of the Rutgers-Camden AI Campus, bringing together nearly 150 faculty, staff, students, and guests to advance AI literacy and adoption across… continue reading
Balancing model accuracy with interpretability remains a central challenge in machine learning, particularly for classification tasks involving large datasets and continuous variables. This work examined how optimal sparse decision tree frameworks can be made more efficient and accessible without sacrificing their explainability or theoretical guarantees. The research was presented at the Graduate Poster Exhibition during… continue reading
When the American Cranberry Growers Association gathered for its annual meeting, Computer Science M.S. student Malav Champaneria was there—not as a spectator, but as a presenter sharing research at the crossroads of computer science and agriculture. His work is part of a collaboration led by Dr. Iman Dehzangi with scientists from the U.S. Department of… continue reading
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
