Experts on Neural Networks

Neural networks represent a cornerstone of machine learning. These computer systems draw inspiration from the intricate structure of the human brain, recognize patterns, and make decisions by emulating the interconnectedness of neural pathways in the brain. Through layers of nodes and weighted connections, neural networks process input data, discern patterns, and generate output, akin to the cognitive processes of the human brain.

WPI experts on neural networks conduct interdisciplinary research and advance innovative applications that seek to leverage artificial intelligence for the betterment of society. Our experts can discuss how neural networks are used in deep learning systems and are applied in image recognition, natural language processing, predictive analytics, and autonomous decision-making of the technology for the betterment of society. They can discuss the profound impact that Generative AI can have across various disciplines, from art and design to healthcare and engineering.

Emmanuel O. Agu
  • Professor Computer Science
Professor Agu's research interests are in the areas of computer graphics, mobile computing, and wireless networks. He is especially interested in research into how to use a smartphone as a platform to deliver better healthcare. ... View Profile
Headshot of Lane Harrison
Lane T. Harrison
  • Associate Professor Computer Science
Professor Harrison's research quantifies and models how people interpret, use, and create data visualizations. ... View Profile
Kyumin Lee
  • Associate Professor Computer Science
Professor Lee’s research interests are in social computing, information retrieval, data science, and cybersecurity over large-scale networked information systems like the Web, social media, crowdfunding, and crowd-based systems. ... View Profile
Yanhua Li
  • Associate Professor Computer Science
Professor Li's research interests are in analyzing, understanding, and making sense of big data generated from various complex networks in many contexts, including urban network analysis, large-scale network data sampling, measurement, online social beh ... View Profile
Rodica Neamtu
  • Professor of Teaching Computer Science
Professor of computer science Rodica Neamtu studies and leads students through exploration of the human impact of artificial intelligence. ... View Profile
Jacob Richard Whitehill
  • Associate Professor Computer Science
Professor Whitehill's research interests are in applied machine learning, computer vision, data science and their applications to education, affective computing, and human behavior recognition. ... View Profile