#1
15th December 2013, 02:53 PM
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Research topics for PhD Computer Science?
pls send me a lsit of RESEARCH TOPICS in Computer science. i already studied lot of things in Data mining and warehousing.. can you tell me the topics in below segment
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#2
13th September 2014, 10:33 AM
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Re: Research topics for PhD Computer Science?
Computer Science is a vast field. Technology is changing every second, updates are being installed every moment. New and better technologies are in high demand. Technologies like Big Data, Data mining, Cloud Computing are in high demand. A lot of research is going on in this field. Fields like embedded system, networking and security will be the pioneer in future world. Hence the scope and prospect is huge. Below are some topics mentioned on which you can perform research.
Bioinformatics Design and construction of algorithms and software systems for analysis of biological sequence data, including genomic DNA sequences, expressed DNA sequences, and protein sequences. Computer Vision Computer vision systems bring together imaging devices, computers, mathematical formalisms and algorithms for solving applied problems in areas such as industrial inspection, medicine, document analysis, autonomous navigation, and remote sensing. Databases Researchers in the databases area focus on data management issues in pervasive computing environments, digital libraries, data integration and interoperation, citation analysis, and large scale image databases. Embedded and Hardware Systems low power and thermal-aware design techniques, co-synthesis and code compression for embedded systems, robust circuit and system design related to soft errors and process variation, 3D integrated circuit and microarchitecture design, parallel and distributed systems, the use of field programmable gate array's (FPGAs) for a variety of applications including real-time event-driven simulation and real-time image recognition, migration problems from the redesign of legacy hardware and software, and analog-digital mixed-signal design Enterprise Computing and IT Infrastructure Management The research conducted in CSL lies at the intersection of cutting edge technologies in hardware, networks, systems software and applications towards enhancing performance, manageability, integrity, availability, and security with minimal operational costs. Network and Security The expertise of the members includes mobile networking, protocol design, performance analysis and simulation, wireless communication, networked applications, and large networking software systems Numerical Analysis and Scientific Computing Research in topics spanning numerical linear algebra, parallel scientific computing, and computational science and engineering. Theoretical Computer Science Graph algorithms, approximation algorithms, sublinear-time algorithms, computational complexity, randomized algorithms, computational geometry, coding theory, computational molecular biology, cryptography, privacy, computational logic, type theory, and programming languages semantics. |
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