Dr. Alexander Hauptmann

Biography

Alexander Hauptmann is a Research Professor in the Language Technologies Institute at Carnegie Mellon University. His research interests revolve around the integration of text, image, video, and audio analysis. He has significantly contributed to the Informedia Project, which was designed to build a News-on-Demand application and instantiate the idea of the Informedia Digital Video Library. This project is based on completely automatic methods for processing television and radio news. Hauptmann combines the strengths of speech recognition, natural language processing, information retrieval, and interface design to create systems that can overcome the inherent shortcomings of these technologies. His goal is to utilize large corpora of 'found data,' which refers to data available on the Internet and accessible from open sources, to enhance speech and natural language processing by exploiting the advantages of multiple modalities. In recent years, it has become evident that large volumes of text, image, video, and audio can be easily stored and made available for research applications, but the challenge lies in effectively processing these sources. Hauptmann's intention is to design and build intelligent programs that can help process these data sources to make the data useful for various applications. These data can be employed to improve speech recognition, image understanding, natural language processing, machine learning, and information retrieval.

Research Interests

Experience