Pranav Milind Khanolkar
Graduate Researcher @Ready Lab
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WORK HISTORY
Graduate Researcher @Ready Lab
Toronto, ON, CA
Currently conducting case studies to understand the decision-making process behind the selection, development, and implementation of the right AI-based automation methods catered to an industry’s product design process. Conducted a focused literature review (108 peer-reviewed publications) of different AI methods that are specifically deployed in different stages of the engineering design process and illustrate how these methods assist engineers. Leveraged natural language processing and web-scraping to assess the prevalence of AI education in mechanical engineering curricula of accredited Canadian universities, highlighting the importance of AI education. Mentored five undergraduate students in conducting and presenting literature reviews and academic writing for research.
EDUCATION
University of Toronto
Doctor of Philosophy - PhD, Mechanical and Industrial Engineering
University of Mumbai
Mechanical Engineering, CGPA: 8.59/10
Agnel Charitable Trusts Fr Conceicao Rodrigues Institute of Technology Sector 9-A Vashi Navi Mumbai 400 703
Bachelor of Engineering - BE, Mechanical Engineering
Penn State University
Master of Science - MS, Industrial Engineering
ABOUT PRANAV MILIND KHANOLKAR
I am a passionate and driven PhD candidate in Mechanical and Industrial Engineering at the University of Toronto, specializing in the applications of artificial intelligence (AI) to enhance the engineering design process. With a strong foundation in industrial engineering from Penn State University, coupled with hands-on experience as a Graduate Researcher, I bring a unique blend of academic rigor and practical expertise to the table. Throughout my academic journey, I have been deeply involved in research aimed at leveraging AI and automation techniques to revolutionize engineering design methodologies. My MSc education provided me with a solid understanding of industrial engineering principles, while my current PhD research focuses on harnessing the power of AI to optimize and streamline engineering design processes, ultimately enhancing efficiency and effectiveness. My expertise spans a wide range of areas, including AI, engineering design, mechanical engineering, SolidWorks, industrial engineering and management, machine learning, and ANSYS. I have a proven track record of successfully applying these skills in various research projects, leading to impactful contributions in the higher education industry. As an enthusiastic learner and dedicated researcher, I am constantly seeking new challenges and opportunities to expand my knowledge and make a positive impact in the field of engineering. I am eager to bring my unique blend of academic prowess and practical experience to a dynamic and innovative organization where I can continue to grow and thrive.
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