Email: chintu.gurbani@gmail.com cgurbani@iitk.ac.in cg007pec@iitr.ac.in
Phone: 7000060479, 7579183691
LinkedIn Website Google Scholar Github
Professional Summary:
Dynamic and detail-oriented PhD graduate in Control and Automation from IIT Kanpur with a focus on developing robust control systems for four-wheel steer, four-wheel drive electric vehicles. Holds an M.Tech in System Modelling and Control from IIT Roorkee, specializing in time-varying sliding mode control systems for magnetic levitation. Completed B.E. in Electronics and Instrumentation Engineering from SGSITS Indore. Proven expertise in control systems, automation, and electrical engineering, complemented by strong research and project management skills.
Professional Experience:
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Founder & CEO of Invariance Automation
2020 – Present
Leading the company in developing state-of-the-art SMD equipment and products.
Implementing automation solutions and improving PCB assembly processes.
Assistant Professor @ Dr. B.R. Ambedkar National Institute of Technology, Jalandhar
2014 – 2016
Taught courses in Nonlinear Control Systems, Intelligent Systems, and Measurement and Instrumentation.
Developed and delivered course materials, assessments, and practical sessions.
Guided and mentored undergraduate and graduate students in their projects and research.
Education:
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PhD in Control and Automation in Electrical Engineering, 2024
Indian Institute of Technology (IIT) Kanpur
Research Topic: Development of robust control systems for four-wheel steer, four-wheel drive electric vehicles.
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M.Tech in System Modelling and Control in Electronics Engineering, 2014
Indian Institute of Technology (IIT) Roorkee
Research Topic: Development of time-varying sliding mode control systems for magnetic levitation systems.
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Bachelor of Engineering in Electronics and Instrumentation Engineering, 2012
Shri Govindram Seksaria Institute of Technology and Science (SGSITS) Indore
Research Experience:
Research Assistant @ IIT Kanpur
2022– Present
Conducting research on robust stability of path-tracking controllers for 4WIS4WID electric vehicles.
Developed control theories and simulations to ensure vehicle stability and performance.
Publications:
- Gurbani C, Kumar V. Designing robust control by sliding mode control technique. Advances in Electronic and Electric Engineering. 2013;3(2):137-44.
- Gurbani C, Kumar V, Kumar A. Sliding Mode Control of Magnetic Levitation System using Nonlinear Time-Varying Sliding Surface. In3rd International Conference on Computational Techniques and Artificial Intelligence (ICCTAI’2014), Singapura 2014.