Chandresh Bakliwal

Chandresh Bakliwal is a seasoned professional with over twelve years of expertise in both the realms of Teaching and the IT Industry. His academic journey led him to attain an M.Tech. degree from Rajasthan Technical University, Kota, showcasing his commitment to advanced education and specialization. Rooted in a strong foundation, Mr. Bakliwal earned his B.E. degree from Maharana Pratap University of Agriculture and Technology, Udaipur, reflecting his dedication to academic excellence. His diverse educational background serves as the bedrock for his multifaceted career. Specializing in areas such as Network Security, Artificial Intelligence, Machine Learning, Data Science, and Software Engineering, Mr. Bakliwal demonstrates a keen interest in cutting-edge technologies that shape the IT landscape. His passion for staying at the forefront of technological advancements has driven him to excel in these dynamic and rapidly evolving fields. Beyond the confines of academia, Mr. Chandresh Bakliwal has actively participated in numerous conferences and Faculty Development Programs (FDPs), contributing to the dissemination of knowledge and fostering a culture of continuous learning. His intellectual pursuits extend to the publication of more than five research papers in esteemed international journals, showcasing his commitment to advancing the frontiers of knowledge. Through his twelve-year journey, Mr. Bakliwal has not only accumulated a wealth of experience but has also become a beacon of knowledge and expertise in the intersection of education and IT. His professional journey reflects not only a commitment to personal growth but also a dedication to shaping the future of technology through education and research.

Publications

Digital Twins and Reinforcement Learning for Autonomous Systems in Industry 4.0: A Comprehensive Survey
Digital Twins and Reinforcement Learning for Autonomous Systems in Industry 4.0: A Comprehensive Survey
Nithya M., Ramesh Babu Gurujukota, Anju Gautam, Chandresh Bakliwal, Sangeetha S., Karthikeyan Thangavel. © 2024. 15 pages.
In this chapter, the authors delve into the compelling intersection of digital twins and reinforcement learning, aiming to propel the autonomy of systems within the Industry 4.0...