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M.S. PROGRAMME

Research topic
Supervisor
Minimum qualification needed
  • Pattern recognition: Biometrics, specifically face, iris, hand geometry, palmprint.
  • Pattern recognition: Nonlinear dimensionality reduction, clustering and visualization of data
  • Pattern recognition: Markov random fields and image processing
  • Machine learning: Search engines, document ranking and clustering
  • Cryptography: Pseudorandom sequences, statistical testing and design of stream ciphers
  • Cryptography: Cryptanalysis of stream ciphers
  • Cryptography/Coding theory: Sequences with low correlation with applications to spread spectrum
  • Coding theory: List decoding of Reed Solomon Codes
Gurumurthi V. Ramanan B. Tech in EE/ECE/CS/IT, M. Sc (Mathematics), a strong mathematical background, specifically in linear algebra, discrete mathematics and probability theory.
  • Cryptography: Cryptanalytic attacks on known ciphers using hardware
  • Cryptography: Hardware architectures (VLSI) for running complex/ high speed crypto algorithms on programmable devices
  • Cryptography: Stream cipher design and analysis
  • Communications: Spread spectrum design
M. Sethuraman B. Tech in EE/ECE/CS/IT, M. Sc (Mathematics)
  • Wireless Communications :  Physical (PHY) and Medium Access Control (MAC) Layers.

        More Details click here

 

Dr. S.Srikanth B. Tech in EE/ECE/CS/IT, M. Sc (Mathematics), a strong background in Digital Communication , D.S.P and Networking.
  • Information Extraction- from general domain using Machine Learning and rule based methods
  • Information Retrieval- for specific applications such as Question -Answering systems, Knowledge discovery Knowledge Discovery and Reasoning
  • Ontologies- Domain ontologies and semantic web
  • Machine Translation- Rule based and Statistical based Machine Translation ,NL Parsers, Grammar Formalisms
  • Semantic Analysis- Discourse Connectives, Anaphora Resolution, Word sense Disambiguation
Sobha, L B. Tech (Any, Preferably CSE & IT), M. Sc /MCA, strong computational and mathematical background and an interest in Natural Language Analysis.

PH.D. PROGRAMME

Research topic
Supervisor
Minimum qualification needed
  • Pattern recognition: Biometrics, specifically face, iris, hand geometry, palmprint.
  • Pattern recognition: Nonlinear dimensionality reduction, clustering and visualization of data
  • Pattern recognition: Markov random fields and image processing
  • Machine learning: Search engines, document ranking and clustering
  • Cryptography: Pseudorandom sequences, statistical testing and design of stream ciphers
  • Cryptography: Cryptanalysis of stream ciphers
  • Cryptography/Coding theory: Sequences with low correlation with applications to spread spectrum
  • Coding theory: List decoding of Reed Solomon Codes
Gurumurthi V. Ramanan ME/M. Tech (EE/ECE/CS), a strong mathematical background, specifically in linear algebra, discrete mathematics and probability theory.
  • Cryptography: Cryptanalytic attacks on known ciphers using hardware
  • Cryptography: Hardware architectures (VLSI) for running complex/ high speed crypto algorithms on programmable devices
  • Cryptography: Stream cipher design and analysis
  • Communications: Spread spectrum design
M. Sethuraman ME/M. Tech (EE/ECE/CS)
  • Wireless Communications :  Physical (PHY) and Medium Access Control (MAC) Layers.

        More Details click here

 

Dr. S.Srikanth ME/M. Tech (EE/ECE/CS), a strong background in Digital Communication , D.S.P and Networking.
  • Information Extraction- from general domain using Machine Learning and rule based methods
  • Information Retrieval- for specific applications such as Question -Answering systems, Knowledge discovery Knowledge Discovery and Reasoning
  • Ontologies- Domain ontologies and semantic web
  • Machine Translation- Rule based and Statistical based Machine Translation ,NL Parsers, Grammar Formalisms
  • Semantic Analysis- Discourse Connectives, Anaphora Resolution, Word sense Disambiguation

 

Sobha, L ME/M. Tech (Any, Preferably CSE & IT), M. Sc /MCA, strong computational and mathematical background and an interest in Natural Language Analysis.