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Research

School of Computing houses ultramodern facilities that helps faculty and staffs to carry out cutting edge research projects. Quality of faculty research output is very high, with a large number of publications in top quality journals and conferences. For selected publications done by the Computing faculty in last few years, please click here.

Research Labs

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Data Science and Analytics Lab

The Data Science and Analytics Laboratory in the School of Computing is used by UG and PG Students, PhD Scholars and faculty members for various research activities and projects. In Addition to this, it is also used to teach specialized courses in the areas of Data Mining, Data Analytics, etc.

Computer Vision and Biometrics Lab

The Computer Vision and Biometrics Laboratory is equipped with modern computers with high end displays that aid in teaching courses in image processing, computer vision, remotes sensing, GIS, etc. The GPU enabled SuperWorkstation helps faculty and students perform research in various areas of AI, Deep Learning, HPC, etc.

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COE – Internet Of Things

The Centre of Excellence in Internet of Things (IoT) is an ultramodern facility and equipped with latest computing machines, simulators, sensors, microcontrollers and edge nodes allow undergraduate and postgraduate students to address real world societal problems by developing practical IoT solutions using the Arduino and the Raspberry Pi platforms. This centre has developed several high end and hands-on elective courses for the University’s B.Tech Computer Science and Engineering specialized track of IoT and Edge Computing.

Currently, multiple PhD scholars are working on complex problems in various domains like environmental monitoring, smart vehicles, smart buildings, smart transportations, IoT analytics, etc., that result in publications at very high impact factor journals like the IEEE IoT journal and top international conferences like IEEE Sensors, IEEE SAS, IEEE MDM, etc

COE – CAIR

The Centre of Excellence in Artificial Intelligence and Robotics (CAIR) pursues novel research by developing AI based solutions using latest computing machines, sensors, and a variety of robotics platforms. The aim of CAIR is to assist the Society and Industry with impactful contributions in the broad areas of AI, Machine Learning and Robotics. The Centre has already developed industry oriented hands-on elective courses for the University’s B.Tech Computer Science and Engineering specialized track of AI, Machine Learning and Robotics.

Presently, many PhD scholars are working on wide variety of research problems related to decision support systems, knowledge-based systems, image recognition, AI based healthcare, speech recognition & synthesis, deep learning, reinforcement learning, sentiment analysis, colour sensing robotics, human detection robots, deep learning, chatbots, voicebots, etc., resulting in quality publications in several high impact journals.

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