Department of Electronics & Communication Engineering was established in 1979 & is the pride of Karnataka. The graduates from this Department are playing a vital role in the IT revolution and are instrumental in placing Karnataka on the Global IT Landscape. These professionals have found placement in major industries and multinational corporations such as IBM, Motorola, Siemens, Alcatel, Intel, Microsoft, ISRO etc. Many of them are successful entrepreneurs.
This Department has developed a strong bond with its alumni and promotes good relations with the industry in the fields of VLSI, Signal Processing and Networking. State-of-art Laboratory facilities in the areas of Advanced Communication, Telemetric, Signal Processing, Fibre Optics, Embedded System, Image processing and VLSI which offers students the advantage of a comprehensive experience that allows them to put into practice the theory learned in the classroom.
The department also offers Post Graduate programs in ‘Digital Electronics’ and ‘VLSI Design and Embedded Systems’. Active engagement of faculty in research has led to the recognition of the department as a Research Centre by the University. Student forums like IEEE student chapter, Robotics club offers the opportunities for the students not only to develop technical skills but also to showcase their technical talents through seminars, workshops and exciting competitions.
To develop competency of the students in niche areas, UG diploma and certification programs in association with the industry are offered by the department. The UG Diploma in ‘Analog VLSI ‘is supported by Sankalp Semiconductors.
Following are the different areas of research:
VLSI Circuits and Systems
The main sub focus areas are: (i) Digital VLSI, (ii) Low power and mixed mode, (iii) MEMS.
main focus is architecture optimization on programmable devices. Recent research has been initiated on automatic architecture synthesis for FPGA’s and low power data-path synthesis. Areas of research are focused in cryptography, security and error control techniques to provide interference protection and efficient operation of communication systems. Applications of error control coding in digital communication systems may be explored. IP Development and System of chip (SOC) is the enabling technology of future embedded computer based systems. These systems are typically programmable and/or configurable, responding to events in the environment in which they are embedded. SOC is a major revolution taking place in the system design. As a result, new methodologies and tools are demanded to address design, verification, high speed and test problems in this rapidly evolving area. The key concept of SOC design is IP development which will be the research focus.
Low power and mixed mode:
The research approach in Low Power VLSI is to use accurate and efficient power estimation techniques to drive the design of new low power systems.
Low power data converters - Design of higher order sigma-delta ADC using concoading techniques and perform stability analysis of the same & optimize the design in terms of power area.
Mixed signal system on Chip integration for semiactive suspension control
he main focus is on Electrochemical/potentiometric biosensors.
• Modeling and simulation
• Synthesis and fabrication
Main focus areas are (i) Speech Image and Video Processing, (ii) Computer vision and Graphics
Speech, Image and Video Processing
Image fusion: The main objective is to develop framework which provides better fusion results for different input images. We provide a new quality to quantify the fused image.
Detection of doctored image: The main objective is to detect the given image is authentic or doc-tored. We provide different algorithms based on bi-spectral analysis, correlation pattern of camera PSF and variation in JPEG coefficients. We present an unified framework which uses a generative model of the imaging process and can address the problem of detection of doctoring. The characteristics of the authentic image from the given imaging model are used to facilitate the detection of the Doctored images. We also look into the learning framework for the detection of doctored images using Bayesian and SVM classifiers.
Video summary: The aim is to generate a summary of the video by retaining salient activities in a given time. We propose a method for selection of salient activities using motion of feature points as a key parameter, where the saliency of a frame depends on total motion and specified time for Summarization. The motion information in a video is modeled as a Gaussian mixture model (GMM), to estimate the key motion frames in the video. The salient frames are detected depending upon the motion strength of the key frame and user specified time, which contributes for the summarization keeping the chronology of activities.
Computer vision and Graphics:
3D data proecssing and reconstruction: The main focus is on 3d reconstruction using image/s, generation of super resolved frames or point clouds, categorization of 3D data and different 3D data processing algorithms.
Digital heritage: The main objective is to create algorithms and techniques to acquire three dimensional digital replicas of Indian digital heritage sites. At present we are developing framework for course to fine 3Dreconstruction using single view reconstruction and fine reconstruction using depth sensor (Kinect).
Communicate a Hand Speech Glove: Objective is to develop a human interface device that converts the mechanism of hand sign language into alphanumerical characters which would assist the user to communicate via text display and speech. We are proposing a product in concurrence with assistive engineering to help the underprivileged. This product mainly targets the deaf and dumb who use sign language for communication.
Wheel chair control using Mind waves: The main focus is to provide a solution control of wheelchair, other appliances and human computer interfaces (HCI) using mind: we are trying to capture Signals from the brain and use them to control different appliances like wheel chair, lights, fan etc. and any HCI applications
B. V. Bhoomaraddi Campus, Vidyanagar, Hubli - 580 031
Karnataka State - INDIA.
Fax : +91 - 836 - 2374985
E-mail : [email protected]
Help-desk Phone : +91 - 836 - 2378300 (Time - 10-30 am To 5-00 pm)
For Admission Help & Query : +91 - 836 - 2378103 (11-00 am To 5-30 pm)
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