Research Theme

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Wireless communciations and networks research at IIT Madras focuses on current and cutiing edge problems in these fields. Design of the next generation networks is extremley challenging because of their scale and their decentralized nature. The research at IIT Madras focuses on mathematical modelling, analysis, designing new algorithms and prototyping. The faculty and graduate students reasearch interests span but not limited to physical layer modulation and coding, scheduling, resource allocation and optimization, network control, information theory, LTE systems, MIMO sytems, cognitive radios, mobile IP, optical backbone networks and software defined radios.

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We are involved in research in the areas of analog, mixed signal, and RF design, analysis and simulation of...

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High Voltage Laboratory

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The Power Electronics and Machines Laboratory comprises of teaching and research labs. The facility was established in the early 1960s as a Machines Laboratory. Faculty associated with the laboratory started working on power electronics and motor drives as power electronics gained prominence. Over the years, the faculty associated with the lab have contributed

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The Desphande Centre for Communication Networks (formerly known as the Centre for Intelligent Optical Networks) houses a variety of research laboratories, employing both staff and students. The laboratories house state of the art experiments such as the 5G testbed, Coherent Optical Communications, Quantum Key Distribution, and even a LIGO-India interferometer.

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MI Lab works in the following areas: 1. Biomedical: Devices, Instrumentation, Imaging, Image Processing and bio-signal processing. 2. Measurements,.

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Performance of telecommunication Networks in layer 2 & 3 in general: TDM over PSNs, Access, Metro solutions like, RPR, PoN and Carrier Ethernet Technologies. IP over WDM, RWA, LTD and grooming problems in WDM optical networks.

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Image processing concerns image properties and image-to-image transformations, whereas the main target of computer vision is the 3-D world. As most computer vision algorithms require some form of image processing, the overlap between the two areas is significant. The contours of the two also blend into those of robotics, signal processing, pattern recognition, control theory, artificial intelligence and other fields.

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Microelectronics and MEMS Lab is well-equipped for semiconductor device and MEMS fabrication, characterization, modeling and simulation. It has Class-100 and Class-1000 clean rooms which house the major facilities that include a Mask writer, double-sided lithography facility, substrate bond aligner, LPCVD for polysilicon deposition, PECVD for dielectrics, diffusion furnaces, e-beam metallization unit and RIE for dry etching. DC and RF probe stations, parametric analyzer and LCR meter are used for electrical characterization, while a non-contact surface profiler and ellipsometer are used for process characterization.

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Microelectronics and MEMS Lab is well-equipped for semiconductor device and MEMS fabrication, characterization, modeling and simulation. It has Class-100 and Class-1000 clean rooms which house the major facilities that include a Mask writer, double-sided lithography facility, substrate bond aligner, LPCVD for polysilicon deposition, PECVD for dielectrics, diffusion furnaces, e-beam metallization unit and RIE for dry etching. DC and RF probe stations, parametric analyzer and LCR meter are used for electrical characterization, while a non-contact surface profiler and ellipsometer are used for process characterization.

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The group aims to perform quality and impactful research in the fundamental areas of Control and Optimization and also in the emerging subdisciplines that lie at the ever- expanding intersection of these areas. Along with theoretical research, the group looks to explore industrial applications and real-time implementation of the developed methods on hardware platforms. Various theoretical, applied and laboratory-based courses are being offered by the group, which have been carefully designed to build a foundation in control and optimization andlead the students to the state of the art.

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The laboratory and research team is guided by Prof. Krishna Jagannathan