ELECTRICAL COMMUNICATION ENGINEERING


Degrees Offered: Ph.D., M.Sc. (Engg), M.E. in Telecommunications, M.E. in Signal Processing (jointly with Electrical Engineering Department), M.E.in Microelectronics (jointly with CEDT)


Research Areas

Communication and networking: Information theory; Modern error control coding and decoding, coded modulation, space-time codes, codes over finite fields; network coding; wireless mobile communication, spread spectrum systems, CDMA, multiuser detection, OFDM; Resource management algorithms for wireless access networks - cellular networks, WLANs; Wireless mesh networks - ad hoc internets, sensor networks; wireless cooperative communication; AI applications to communication networks and their management; Communication protocols; Multimedia communication

Signal processing: Space-time signal processing; Signal processing for OFDM systems; Designing of multicarrier MIMO systems; Joint time-frequency analysis, wavelets and their applications; Multi-rate signal processing, filter-bank design; Signal detection by stochastic resonance; Speech and audio coding, speech information processing, speech recognition algorithms; acoustic signal separation; dynamic and non-linear modeling of biomedical signals; Modeling of ocean acoustic propagation, signal detection, source localisation, matched field processing, ocean acoustic tomography

Microwaves and photonics: Multiband and wideband antennas for wireless systems, fractal antennas, special antenna arrays; RF MEMS - phase shifters, switches; miniaturisation of RF/microwave filters and circuits; computational electromagnetics; New sensor technologies with sub-millimetre wave systems; Bio-electromagnetics; Harvesting ambient RF energy; fibre and integrated optics - devices and systems; DWDM networks, optical CDMA, passive optical networks; Microwave photonics, optical sensors, micro-opto-electro-mechanical devices and systems (MOEMS); Optical computing.

Microelectronics and Nanoelectronics: RF MEMS; Nano-CMOS technology; Non-classical transistors; CMOSMEMS sensors, gas sensors, bio-sensors; Low power circuits; Mixed-signal VLSI and RF; Computing architectures; Process variability modeling and design.



Courses

  • Random processes
  • Information theory
  • Communication protocols
  • DSP system design
  • Time-frequency analysis
  • Digital image processing
  • Digital VLSI circuits
  • Embedded systems
  • Fibre-optic communication
  • Digital communication
  • Stochastic processes and queueing theory
  • Space-time signal processing
  • Detection and estimation
  • Multimedia information systems
  • Biomedical signal processing
  • VLSI device and process simulation
  • Designing with PLDs and FPGAs
  • Sub-micron device physics and technology
  • Communication networks
  • Error control coding
  • Digital signal processing
  • Adaptive signal processing
  • Spectrum analysis
  • Pattern recognition
  • Analog VLSI circuits
  • Sensors technology and MEMS
  • Microwaves and RF MEMS

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