Prof. Manish Patel

Ph.D (pursuing), M.Tech, B.E

Area of Interest

Industry 4.0, Computer Integrated Manufacturing, Operations Research, Quality Management, Computational Science, Engineering Economics and Management, Product Design and Value Engineering

Qualification
Majors Degrees

  • PhD pursuing at LJ University (2021 - present)

  • M.Tech. Computer Integrated Manufacturing (2014-2016)

  • B.E. Mechanical-HNGU (1997-2001)      

Online Certified Courses

  • Getting started with Power BI Desktop by Coursera on Feb-2023

  • Crash course on python  by Google and Coursera on Nov-2022

  • Reproducible Research  by  Coursera on Jun-2020

  • Experimentation for improvement by Coursera on May 2020 

  • Probability and Statistics by Coursera on Apr 2020.

Academic
  • Total academic experience is of 7 years.  

Graduate Level
  •  Computer Aided Manufacturing , Operations Research, Product Design and Value Engineering, Engineering Economics and Management, Advanced Manufacturing Processes, Industrial Internet of Things, Industry 4.0

Seminars/Workshop Conducted

  • SWAYAM Online Courses Awareness, 2019

Seminars/Workshop Attended

  • STTP on Welding Practices - one Week at GEC Gandhinagar 2018

  • Intellectual Property Rights - GTU-One day workshop 2018

  • Business English Cambridge Certificate course 2019

  •  15 DAYS FACULTY DEVELOPMENT PROGRAM on Introduction to C Programming, 1-19 Jan 2022 at LJIET

  • 14 DAYS FACULTY DEVELOPMENT PROGRAM on Introduction to Computer Programming using Java, 1-16 Jul 2022 at LJIET

  • Transportation Science Workshop held at IIM Ahmedabad 2021 

  • SolidWorks - One day Workshop at LJ University 2021

Research Papers 

  • Emerging trends of immersive media in India – Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) case, International Conference on “Embracing Change & Transformation

  • Environmental Sustainability & Industry 4.0 from India perspective, Green Technologies for Sustainable Development- GTSD2021 1 (First), 167-172

  • Exploring Integration of Python Libraries in Computation Intensive Mechanical Engineering Courses, International Conference on Data Science, Machine Learning and Its Applications

  • NA