Ph.D Electrical Communication Engineering at IISc Bangalore Offline Course

Doctor of Philosophy (Ph.D.) in Electrical Communication Engineering is an offered Full-time three/six-year Doctoral program and it is offered by the Indian Institute of Science, Bangalore. Ph.D. programme shall be for a minimum duration of three years, including course work and a maximum of six years. Extension beyond the above limits will be governed by the relevant clauses as stipulated in the Statute/Ordinance of the individual Institution concerned.

Areas of Research: Communication and Networking; Information Theory; Source Coding; MIMO Systems; Space-Time and LDPC Codes; Coding for Distributed Storage and Coded Modulation; Error-Control Coding; Information Theoretic Security; Wireless Mobile Communication; Multiple Access Protocols; Cellular Mobile Radio; CDMA; Multiuser/MIMO Detection; Large-MIMO Systems; Cooperative Communications; MIMO-OFDM; Spatial Modulation; Communication Networks; Modeling; Analysis; Optimization and Control of the Internet; wireless access networks; wireless ad-hoc Networks; Wireless Sensor Networks and the Internet of Things. Research at the Interfaces of various Networks; Wireless; Social Transportation; Neuronal; etc. Network Management; Multimedia Communication Protocols. Ubiquitous Computing. Cognitive Radio Communication; WDM Optical Networks. Optical Communications. Nanoelectronics and VLSI; Nano-CMOS Technology; Non-Classical Transistor Design; Transistor Variability in Nanoelectronics; Adaptable Circuit Design; Integrated MEMS Sensors; Low Power Techniques in Hardware and Software. Communication Circuits and Architectures. Analog; Mixed-Signal & RF Circuits; Embedded Systems; Cyber-Physical Systems. Applied Photonics; Photonic Integrated Circuits; Micro-Opto-Electro-Mechanical Systems (MOEMS); Photonic Bandgap Structures; Quantum Photonics. Biomedical Optics Biophotonics. Optics and Fluid Dynamics of Nanostructures; Plasmonics. Signal Processing; Spatial Signal Processing; Speech and Audio; Speech Recognition and Enhancement. Music Content Classification; Auditory Model and Hearing Aids. Compressive Sensing. Sparse Signal Recovery. Statistical Signal Processing; Signal Detection and Estimation; Space-Time (MIMO) Signal Processing Algorithms with applications to Wireless Communications; Acoustic Signal Separation using Microphone Arrays; Indoor Positioning and Navigation. Microwave Engineering; Passive and Active Circuits (RF and Microwave). Microwave Imaging Antennas; Fractal Designs in Electromagnetics; MEMS and Micromachining (RF MEMS); Teraherts devices for antennas; scattering and imaging. Composite Materials for Microwave Applications; Computational Electromagnetics