This text introduces the modern concepts relevant to system engineering design and manufacturing from a 4th Industrial Revolution perspective.
The book surveys the current status and cutting edge in Computer Aided Design and Computer Aided Manufacturing (CAD/CAM).
Wasim Ahmed Khan
Professor Wasim A. Khan holds a first degree in Mechanical Engineering from NED University of Engineering and Technology, Karachi, Pakistan. He later obtained a Ph.D. degree in Operations Research from the Department of Mechanical Engineering, University of Sheffield, England, UK. He is a life member of the Pakistan Engineering Council. He is also a chartered engineer (CEng) of the Engineering Council, UK, and a fellow of the Institution of Mechanical Engineers, UK. Professor Khan was recently elected as a senior member of the Institution of Electrical and Electronics Engineers, USA. He is also a member of the IEEE Computer Society. He has diverse work experience including working with the manufacturing industry, software development for local and overseas clients and teaching production engineering, business, and computer science students. He is currently working as a professor, in the faculty of mechanical engineering, at GIK Institute of Engineering Sciences and Technology. He has two books as the principal author by Springer, UK and CRC Press, Taylor and Francis Group, USA. He remained the CRC Press, Taylor and Francis Group, USA Book Series Editor until 2023. So far, he has published four books under his series as the principal editor. The book series theme is 'Computers in Engineering Design and Manufacturing'. Professor Khan has more than 30 journal and conference publications. He also has one US patent application under process. The Pakistan patent for the same invention has been granted. He is a reviewer of several internationally reputed journals including Virtual Reality, Manufacturing Systems, and the International Journal of Computer Integrated Manufacturing. Professor Khan is the founder of the Advance Manufacturing Processes Laboratory (AMPL), Faculty of Mechanical Engineering, GIK Institute. Professor Khan is the principal investigator for two research grants from the Government of Khyber Pakhtunkhwa, Pakistan. His idea in AR/VR also won a grant of considerable amount to a consortium of eight Pakistani and European universities an Erasmus Plus capacity building grant . His current research and development interests include the development of indigenous CNC subtractive and additive manufacturing machine tools, 3D scanners, universal testing machines, spinning machines and flexible manufacturing cells (FMCs), indigenous development of revolute robots and collaborative robots, Digital Twining of manufacturing cells and systems, industrial management of SMEs and LSE for the implementation of Industry 4.0 and Industry 5.0 methodologies using customized manufacturing frameworks; and industrial decision making.
Volkan Esat
Volkan Esat earned his BSc and MSc degrees in Türkiye. He achieved his PhD at the Wolfson School of Mechanical & Manufacturing Engineering of Loughborough University, UK, in 2006. He worked at Loughborough University until 2010. Between 2010-2024, he has been a member of faculty at the Middle East Technical University - Northern Cyprus Campus, Mechanical Engineering Program. He currently works at the University of Hertfordshire, UK, as a member of the faculty in Automotive Engineering. His research interests are metal forming, multi-scale modeling and mechanics of engineering materials, biomechanics, crashworthiness, injury prevention, and computational modelling. So far, he has published more than 70 international journal articles, book chapters, and international conference articles altogether; and filed/granted 2 patents.
Muhammad Hammad
Dr. Muhammad Hammad completed a bachelor's and master's degree in the Faculty of Mechanical Engineering from the University of Engineering and Technology, Lahore, Pakistan. Following this education, he earned a PhD degree in the Faculty of Mechanical Engineering from the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Khyber Pakhtunkhwa, Pakistan. His doctoral thesis lay in the emerging fields of smart manufacturing and security, a testament to his forward-thinking approach to engineering challenges. As a researcher deeply immersed in the nuances of Industry 4.0, Smart Manufacturing, and the Security of the Industrial Internet of Things (IIoT), he has carved a niche in these rapidly evolving disciplines. His graduate and doctoral studies period was marked by a significant role as a Graduate Research Assistant, contributing extensively to both institutions' academic and research environments. His expertise is not just confined to academic research but extends to practical applications and knowledge sharing. As a reviewer of numerous manuscripts for the IEEE, he has demonstrated a keen eye for detail and a commitment to advancing the engineering field. His dedication to disseminating knowledge was further exemplified through his participation and presentation at the 5th International Workshop on Functional Reverse Engineering of Machine Tools. An engineer, researcher, and scholar, He embodies the spirit of inquiry and innovation that drives the modern world of engineering and technology.
Hassan Ali
Hassan Ali is currently serving as a graduate research assistant in the Faculty of Mechanical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology Topi, Pakistan. He obtained his B.Sc. Industrial Engineering degree from the University of Engineering and Technology Peshawar, Pakistan, in 2021. He later achieved his MS degree in Mechanical Design and Manufacturing Engineering from the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, in 2023. He has been awarded a university Gold Medal for securing the top position in his B.Sc. Industrial Engineering degree in 2021. He has strong hands-on experience in numerical simulations and additive manufacturing. He has published more than 5 research articles in reputed international journals and conferences. He is currently working on the optimization of support structures in metal additive manufacturing. His research interests are in computational methods in metal additive manufacturing.
Muhammad Qasim Zafar
Muhammad Qasim Zafar is currently serving as an assistant professor in the Faculty of Mechanical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology Topi. He obtained his B.Sc. Mechanical Engineering degree from Bahauddin Zakariya University Multan and graduated with an MS Mechanical Design Engineering degree from the University of Engineering & Technology Lahore, in 2011 and 2016 respectively. He obtained a Ph.D. in Mechanical Engineering specialized in additive manufacturing from Tsinghua University China. He has strong hands-on experience in numerical simulations, advanced material processing technologies, and tribology. He has published more than 15 research articles in reputed International Journals. He is awarded with the prestigious title of PE (Professional Engineer) by Pakistan Engineering Council (PEC). He is currently working on several projects including residual stress and crack prediction in metal additive manufacturing.
Rashid Ali
Rashid Ali is currently serving as an associate professor in the Faculty of Materials and Chemical Engineering, Department of Materials Science and Engineering, at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi. He obtained his B.Sc. in Metallurgy and Materials Engineering from Dawood College of Engineering & Technology, Karachi, Pakistan, MS in Mechanical and Automobile Engineering from Myongji University, South Korea, and Ph.D. in Mechanical and Industrial Engineering from the University of Roma Tre, Rome, Italy. He has more than 35 journal publications. He has hands-on experience in experimental and numerical residual stress analysis and optimization in materials produced through different manufacturing techniques and materials failure analysis and characterization. His current interests are in computational methods in materials science and engineering.
