Rensselaer Polytechnic Institute was established in 1824 and is situated in Troy, New York. Rensselaer Polytechnic Institute holds the accreditation of various prestigious institutions such as the Middle States Commission on Higher Education (MSCHE), ABET, the Association to Advance Collegiate Schools of Business (AACSB), The National Architectural Accrediting Board (NAAB) and American Chemical Society (ACS).
Rensselaer Polytechnic Institute delivers plenty of undergraduate, doctoral, and postgraduate courses in several areas of education, such as business, management, sciences, mathematics, computer science, information technology, architecture, astronomy, engineering, languages, communication, arts, philosophy, and psychology. Rensselaer Polytechnic Institute is a private research institution comprising six main schools with 37 departments, with an insistence on science and technology.
Rensselaer Polytechnic Institute is recognized as a doctoral university that engages in very high research activity. Rensselaer Polytechnic Institute ranked 55th position among the best colleges in national universities.
Address: 110 8th St, Troy, NY 12180, United States
Phone: +1 518-276-6000
Email: admissions@rpi.edu
Website: https://www.rpi.edu/
Computer science courses offered by the Rensselaer Polytechnic Institute Troy-United States
• Bachelor of Science in Computer Science
• Master of Science in Computer Science
• Ph.D. in Computer Science
• Ph.D. in Cognitive Science
• Bachelor of Science in Computer Engineering
• Master of Science in Computer Engineering
• Master of Science in Computer Science
• Ph.D. in Computer Engineering
• Graduate Certificate in Data Science
• Graduate Certificate in High Performance Computing
• Graduate Certificate in Cyber Security
• Graduate Certificate in Network Security
• Graduate Certificate in Cloud Computing and Virtualization
Research at Rensselaer Polytechnic Institute in Computer Science focuses on foundational issues with real-time applications and global challenges. Researchers at Rensselaer Polytechnic Institute engage in diverse computer science research areas such as;
• Network Science and Social & Cognitive Networks
• Semantic Web and Data Infrastructure
• Machine Learning; Data Mining; Artificial Intelligence
• Theory of Computation and Algorithms
• Computer Vision
• Pervasive Computing and Distributed Systems
• Programming Languages and Software Engineering
• Computational Science and Engineering
• Computer Graphics
• Bioinformatics
• Computational Cognitive Modeling
• Logic-Based Artificial Intelligence
• Database Systems
• Computational Geometry
Network Science and Social & Cognitive Networks - Research in network science and social & cognitive networks at Rensselaer Polytechnic Institute investigate network dynamics, network synchronization, and general resilience of infrastructure networks and networks.
Semantic Web and Data Infrastructure - Active research topics under Semantic Web and Data Infrastructure research areas are Semantic Web technology, knowledge graphs, cognitive computing, provenance and explanation, data integration and analytics, cyberinfrastructure for data integration, particularly for science data; ontology development; and the ethical, policy, and social aspects of Web use and usability.
Machine Learning, Data Mining, Artificial Intelligence - Recent research topics in this area include computational biology - bioinformatics, computational genomics; biomedical engineering; public health informatics; cheminformatics, web mining; geographic information systems; computational finance; natural language processing, and multi-agent social data aggregation into informed actions.
Theory of Computation and Algorithms - Research in this area work on machine learning and data mining; distributed algorithms; graph algorithms; algorithmic game theory and computational economics; independent and strategic agents; voting and social choice; computational finance; security; and bioinformatics.
Computer Vision - Research in computer vision at Rensselaer Polytechnic Institute focusing on a wide range of computer vision problems such as illumination modeling and color correction, registration and 3d reconstruction, motion analysis, and recognition.
Programming Languages and Software Engineering - The Programming Languages and Software Engineering researchers at Rensselaer Polytechnic Institute implement programming models, languages, and tools to enhance software reliability, performance, security, programmer productivity, android security, concurrent software verification, data analytics in cloud environments, and open source software practices.
Computational Science and Engineering - Recent research topics in computer science and engineering such as massively parallel computing methods, adaptive methods for solving partial differential equations, multiscale computations, scientific software libraries, algorithms for medical imaging and tomography, high-performance matrix algorithms, computational biology, and parallel adaptive unstructured mesh methods.
Computer Graphics - Computer Graphics Research topics include physically-based digital sculpting, efficient high-quality photo-realistic rendering, new data representations and algorithms, and modern graphics hardware for interactive applications. Modeling terrain and compressing large datasets in computational cartography and geographic information science.
Bioinformatics - Bioinformatic research reaches emerging research focus such as microarray data analysis, protein design, high dimensional indexing, database support, information integration, and data mining.
Computational Cognitive Modeling - Computational Cognitive Modeling research interest entails comprehending the interplay of cognition, perception, and action in routine interactive behavior, understanding top-down versus bottom-up control of behavior, the role of implicit versus explicit knowledge, internal versus external representations, and knowledge in the head versus knowledge in-the-world.
Database Systems - This research deals with effective techniques for storing, querying and maintaining data from disparate and heterogeneous resources and utilization of data in various applications from scientific data sets, sensor data, images, video and audio to hypertext documents, and data on stock market behavior.
Rensselaer Polytechnic Institute offers 746 labs, technology spaces, and studios utilized for research. Some of the computer science-related research centers and labs are;
• Institute for Data Exploration and Applications
• Data Science Research Center
• Scientific Computation Research Center
• The Jefferson Project at Lake George
• Center for Computational Innovations
• Research Data Alliance
• Social and Cognitive Academic Research Center
• Tetherless World Constellation
• Curtis R. Priem Experimental Media and Performing Arts Center
There are several scholarships and fellowships established at Rensselaer Polytechnic Institute, such as,
• Science, Mathematics, and Research for Transformation (SMART) Fellowship.
• Computational Science Graduate Fellowship
• DOE Office of Science Graduate Fellowship (DOE SCGF)
• DOE Scholars Program - Summer Internship
• Ford Foundation Predoctoral Fellowship
• Fulbright Israel Post-Doctoral Fellowship Program
• Hertz Fellowship - Hertz Foundation
• IBM Ph.D. Fellowship Awards
• Mellon/ACLS Dissertation Completion Fellowships
• Microsoft Research - PhD Fellowship Program
• National Aeronautics and Space Administration (NASA) - Graduate Aeronautics Scholarship Program
• National Defense Science and Engineering Graduate (NDSEG) Fellowship
• National Physical Sciences Consortium (NPSC) Fellowship for Dissertation Support
• National Science Foundation (NSF) - Graduate Research Fellowship Program (GRFP)
To apply for the PhD degree program in Rensselaer Polytechnic Institute, the required documents need to be submitted through the online system.
• Application fee
• Letters of recommendation
• Research proposal outline
• Declaration for financial support
• Motivation Letter
• Online Application form
• World Education Services Evaluation
• TOEFL Certificate
