Resource Person Professor Imre Horváth, an Emeritus Professor at Delft University of Technology (TU Delft), The Netherlands

About GIAN

The Government of India approved a new program titled Global Initiative of Academic Networks (GIAN) in Higher Education aimed at tapping the talent pool of scientists and entrepreneurs, internationally to encourage their engagement with the institutes of Higher Education in India so as to augment the country’s academic resources, accelerate the pace of quality reform, and elevate India’s scientific and technological capacity to global excellence.
Under the GIAN program lectures by internationally and nationally renowned experts are being arranged to garner the best international experience into our systems of education, enable interaction of students and faculty with the best academic and industry experts from all over the world and share their experiences and expertise to motivate people to work on Indian problems.

Course Overview

Smart-Cyber Physical Systems (S-CPSs) are claimed to be the main enablers of the digital transformation that is currently happening all around the world, in particular in the framework of Industry 4.0. However, this kind of system has enormous potential and possible capabilities to be applied on domains other than intelligent manufacturing and production, or as platforms for the implementation of digital twins. These other domains of applications are collectively referred to as societal and personal applications. Typical examples of these are traffic management, stroke rehabilitation, greenhouse operation, foreign language education, sports enhancement, indoor fire evacuation, airport passenger monitoring, etc. While traditionally humans have been considered to be involved in the operation loop of systems, the above applications enforce the system-in-the-social/human loop concept. The developments are rather fast with regards to both understanding the theoretical and methodological fundamentals of designing S-CPSs for context-dependent smart operation and to the implementation practices of the key components. Some of the examples can be such as awareness building, situation analysis, dynamic context management, system-level reasoning, operation adaptation, adaptation planning, status supervision, etc. There are even many more open issues and research/development questions.
This course intends to inform the learners about the important family of engineered systems of high future impacts, which is represented by various generations of cyber-physical systems. The significance comes from the fact that they are multi-actor systems and deeply penetrating into real-life processes, as opposed to purely industrial systems that target a very high level of self-autonomy and efficiency in production. This course is designed for a fascinating and competitive future role as a smart system designer and developer. Dealing with CPSs is not only exciting and fun, but it also strengthens the position of graduate students in the international job market. To optimize the competencies of the students, the course tries to achieve a good balance between the necessary foundational theories and practical learning by doing.

About PDPM IIITDM Jabalpur

PDPM IIITDM Jabalpur was established by the Ministry of Education (Formerly MHRD), the Government of India in 2005 with a focus on education and research in IT enabled Design and Manufacturing. Since its inception, IIITDM Jabalpur has been playing a vital role in producing quality human resources to contribute to India’s mission of inclusive and sustainable growth. The Institute offers undergraduate, postgraduate and Ph.D. programs in Computer Science and Engineering, Electronics and Communication Engineering, Mechanical Engineering, Smart Manufacturing, and Design, along with Ph.D. in Mathematics, Physics and English. Under the IIIT act, the Institute has been declared an Institute of National Importance.

Course Contents

  • Prequiz
  • Lecture 01: Fundamentals of cyber-physical systems (CPSs)
  • Lecture 02: Characteristics of cyber-physical systems
  • Practicum 01: Cyber-physical systems exemplified
  • Lecture 03: Typical functionality and smartness of CPSs
  • Lecture 04: Generations of cyber-physical systems
  • Practicum 02: Functional analysis and representation
  • Lecture 05: Cognitive engineering of cyber-physical systems
  • Lecture 06: Examples for experimental S-CPSs
  • Practicum 03: Intellectualization opportunities
  • Lecture 07: Context engineering for S-CPSs
  • Lecture 08: Artificial intelligence and system-level reasoning
  • Practicum 04: Conceptualization of a smart-cyberphysical system
  • Lecture 09: Symbolic and analogical reasoning
  • Lecture 10: Probabilistic and evolutionary reasoning
  • Practicum 05: Tools for cyber-physical system development
  • Lecture 11: Connectionist and neural reasoning
  • Lecture 12: Canonical problems in machine learning
  • Practicum 6: Big data management and mining with MatLab
  • Lecture 13: Types of machine learning and training approaches
  • Lecture 14: Principles and manifestations of deep learning
  • Practicum 7: Machine learning and deep learning with MatLab
  • Lecture 15: Reinforced and convolutional deep learning
  • Lecture 16: Model-based control and run-time adaptation
  • Practicum 8: Context management with MatLab
  • Lecture 17: Sensing and actuator technologies
  • Lecture 18: Cloud technology for S-CPSs
  • Practicum 9: Process modeling and simulation
  • Lecture 19: Designing for interaction with S-CPSs
  • Lecture 20: Concept and implementation of digital twins