July 25, 2014 12:34 AM ET

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Company Overview of Rensselaer Polytechnic Institute

Company Overview

Rensselaer Polytechnic Institute is a technological educational institution. The institute offers Bachelor of Science in aeronautical engineering, applied physics, biochemistry and biophysics, bioinformatics molecular biology, biology, biomedical engineering, building sciences, chemical engineering, chemistry, civil engineering, communication, computer systems engineering, computer science, economics, electrical engineering, electric power engineering, electronic arts, electronic media, arts, and communication. Rensselaer Polytechnic Institute was founded in 1824 and is based in Troy, New York. Rensselaer Polytechnic Institute has endowment assets worth $976.4 million.

110 8th Street

Troy, NY 12180-3522

United States

Founded in 1824

Phone:

518-276-6000

Key Executives for Rensselaer Polytechnic Institute

President
Age: 68
Vice Provost for Entrepreneurship
Dean of School of Engineering
Head of Department of Biomedical Engineering
Vice President of Institute Advancement
Compensation as of Fiscal Year 2014.

Rensselaer Polytechnic Institute Key Developments

Rensselaer Polytechnic Institute Names Linda Schadler as Vice Provost and Dean for Undergraduate Education, Effective from Oct. 13, 2014

Rensselaer Polytechnic Institute announced that Linda Schadler, the Russell Sage Professor and associate dean for academic affairs for the School of Engineering at Rensselaer Polytechnic Institute, has been named vice provost and dean for undergraduate education. The appointment is effective from Oct. 13, 2014. In this position, Schadler will be responsible for overseeing the Institute's undergraduate degree programs. Along with enhancing the core curriculum and growing opportunities for undergraduate research and international experiences, Schadler will strengthen Institute programs focused on student advising, retention, graduation, and other student support services. She also will play an important role in the implementation of Clustered Learning, Advocacy, and Support for Students (CLASS), which provides support and co-curricular opportunities for Rensselaer students throughout their undergraduate years. Additionally, Schadler will continue to advance Institute-wide initiatives in teaching and learning, such as the Mandarin Project and Art Across the Curriculum. She currently serves as a member of ASM International's Board of Trustees.

Rensselaer Polytechnic Institute Presents at New York Battery and Energy Storage Conference, Mar-13-2014 11:00 AM

Rensselaer Polytechnic Institute Presents at New York Battery and Energy Storage Conference, Mar-13-2014 11:00 AM. Venue: Hilton Garden Inn, 235 Hoostick Street, Troy, New York, New York, United States. Speakers: Craig Dory, Director for Business Development.

IBM Teams with Universities to Advance Research in Cognitive Systems

IBM announced a collaborative research initiative with four universities to advance the development and deployment of cognitive computing systems, systems like IBM Watson that can learn, reason and help human experts make complex decisions involving extraordinary volumes of fast-moving data. Faculty at the four schools, Carnegie Mellon University, the Massachusetts Institute of Technology, New York University and Rensselaer Polytechnic Institute, will study enabling technologies and methods for building a new class of systems that better enable people to interact with Big Data in what IBM has identified as a new era of computing. The research initiative was announced at a colloquium held at the Thomas J. Watson Research Center attended by nearly 200 leading academics, IBM clients and IBM researchers to begin a dialog that deepens the understanding of cognitive systems and identifies additional areas of research to pursue. These initial university collaborators will help lay the foundation for a Cognitive Systems Institute that IBM envisions will comprise universities, research institutes and IBM clients. The initial research topics for exploration announced are: MIT - How socio-technical tools and applications can boost the collective performance of moderate-sized groups of humans engaged in collaborative tasks such as decision making; RPI - How advances in processing power, data availability, and algorithmic techniques can enable the practical application of a variety of artificial intelligence techniques; CMU - How systems should be architected to support intelligent, natural interaction with all kinds of information in support of complex human tasks; NYU - How deep learning is impacting many areas of science where automated pattern recognition is essential.

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