Jitin Malhotra Email & Phone Number

I am a mechatronics engineer by profession who has a keen interest in making conventional machines smart by imparting intelligence to them using the technologies under the hat of Industry 4.0. I have experience in programming controllers from embedded domain to industrial-grade PLC and motion controllers. I am also interested in adopting machine learning technologies to manufacturing by efficiently using various sensors with ML/AI modelling techniques. During my PhD, I along with my colleagues (a team of 4 research scholars and our PhD supervisor) designed and developed a CNC machine tool named Advanced CNC Micro-Machining System (AMMS). Complete development of the machine tool was in-house having 5 axes motion capabilities and is equipped with micro-milling, micro-grinding, micro-drilling, micro-laser beam and micro-electric discharge machining processes integrated into the same setup. My contributions towards the development of this machine tool are viz. selection, installation and commissioning of automation hardware; developing logics and writing PLC codes for controlling motion and machining process hardware; design and development of graphical user interface in Visual Studio C#. In addition to the basic automation of the CNC machine tool, I have developed an Intelligent Cyber-Physical Systems (i-CPPS) framework for transforming conventional machines into smart machines, a Machine Vision-based tool wear detection algorithm for micro-milling tools, Machine learning-based tool wear prediction and surface roughness prediction models, which can be readily deployable using the I-CPPS framework developed.

Listed skills include Electronics, C, Engineering, Matlab, and 11 others.