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Embedded Control & Automation

Our overarching mission is to establish a prominent presence in the dynamic field of Control & Automation. We intend to achieve this through a two-pronged approach: pioneering cutting-edge research and nurturing a sense of ethics and human values among the younger generation. By combining these elements, we aim to equip them with the skills and mindset necessary to effectively serve the ever-evolving needs of society. To this end, we are dedicated to providing students with a solid foundation in Control and Automation, emphasizing not only theoretical knowledge but also practical, hands-on skills. We employ a range of effective teaching methodologies to ensure that our students are well-prepared for the challenges of this field. Furthermore, we are committed to creating an environment that encourages research and innovation. We actively seek collaborations with both industry and academia, providing students and faculty with opportunities to engage in real-world problem-solving and contribute to the advancement of Control & Automation. Through these partnerships, we hope to bridge the gap between theory and application, fostering a spirit of creativity and entrepreneurship. Ultimately, our goal is to mold the leaders of the future, individuals who are not only technically proficient but also socially responsible. We aspire to instill a sense of duty and commitment to using their skills for the betterment of society. By doing so, we aim to make a meaningful and lasting impact on the world of Control & Automation and beyond.

Vision

  • To excel in the emerging areas of Control & Automation by performing cutting edge research and inculcating human values to transform the young minds to cater the needs of society.

Mission

  • To provide strong fundamentals and technical skills in Control and Automation through effective methodologies.
  • To provide an ambiance for research through collaborations with industry and academia.

Proposed initiative

  • The tag members proposed to conduct technical events shortly.
  • Emphasis will be given to publication and funded research under the tag

Keywords

  • Embedded Systems
  • Instrumentation
  • Automation
  • Robotics
  • Machine Learning
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