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6th National Conference on Multidisciplinary Design, Analysis and Optimization (NCMDAO)-2023

6th National Conference on Multidisciplinary Design, Analysis and Optimization (NCMDAO)-2023

Conference Dates: 06th - 08th December 2023

6th National Conference on Multidisciplinary Design, Analysis and Optimization (NCMDAO)-2023

The 6th edition of the National Conference on Multidisciplinary Design, Analysis and Optimization (NCMDAO 2023) is going to be organized at Indian Institute of Technology Guwahati during December 6 - 8, 2023.


The conference is jointly organized by IIT Guwahati and Design division of the Aeronautical Society of India (AeSI). The conference provides a unique platform to bring together the researchers and industry professionals working in the field of MDAO and share the expertize in the form of contributed paper presentations, interactive poster sessions, keynotes and invited talks, panel discussions, and a master class on contemporary topics.


Conference Topics:

Prospective authors are encouraged to submit original work in the form of extended abstracts discussing application of established and emerging techniques to optimization-based design and model-based systems. The submissions can be in various fields including aerospace, automotive, biomedical, chemical, civil, electrical and manufacturing engineering. Industrial applications are highly encouraged.


Topics include, but are not limited to:

  • Structural optimization: size, shape, and topology optimization

  • Design and Optimization of materials and metamaterials

  • Multiscale and multiphysics problems

  • Meta-modeling or surrogate modeling

  • Systems design and optimization

  • Machine learning and data science in optimization

  • Mixed integer and linear programming

  • Evolutionary, Bayesian, heuristic optimization techniques and Quantum Algorithms for optimization

  • Uncertainty quantification, reliability, and robustness in design

  • Optimization and additive manufacturing

  • Industry applications and case studies in MDAO

  • Emerging trends in optimization, online optimization

  • Optimization in Industry 4.0/Digital Twin/IoT/Smart Manufacturing

  • Generative engineering/design synthesis

  • Miscellaneous Topics


Abstract Format and Submission:

  • Extended abstracts may be submitted in pdf format conforming to the sample format given below. It should not exceed 2 single sided A4 size pages.

  • Author(s) can submit full-length paper(s) of 6 to 8 pages.

  • The format for the paper is given in https://www.ncmdao.org. All papers must be original and not simultaneously submitted to another journal or conference.

  • Download extended abstract/Full Length Paper format: Templates

  • Submission Link: https://equinocs.springernature.com/service/NCMDAO2023


Registration:

With in India(INR):

  • Industry participants*: ₹12000

  • Faculty/Start-up/Govt. labs: ₹7500

  • Post-docs: ₹5000

  • Students: ₹4000

  • Masterclass Only: ₹2500

Outside India(USD):

  • Industry participants*: $300

  • Faculty/Start-up/Govt. labs: $250

  • Post-docs: $180

  • Students: $150

  • Masterclass Only: $100


Important Dates:

  • Last date of extended abstract: 1st July 2023

  • Notification of acceptance: 20th August 2023

  • Deadline for submission of full-length paper: 20th September 2023

  • Deadline for early bird registration: 30th September 2023

  • Conference dates: 6th – 8th December 2023


Conference Chair: K. S. R. Krishna Murthy, Head, Department of Mechanical Engineering, IIT Guwahati

For additional information and queries, email us at ncmdao@iitg.ac.in


Conference Venue: Conference Centre, IIT Guwahati, Assam, India


For more information on Registration dates, Topics of the conference, Abstract and Full Paper submission, Conference Fees and other details click on the "Brochure/Website" button below.

About NCMDAO

With deeper understanding of physics of the system along with growing powerful computing technology, it is now viable to design more efficient and optimized engineering systems incorporating multiple physics. The field of Multidisciplinary Design, Analysis and Optimization (MDAO) enables the researchers and designers from academia and industry to build optimized systems that are efficient, accurate, reliable and robust.

Disclaimer: All the above data is gathered from NCMDAO-2023, all the logos and titles are belongs to NCMDAO-2023, EngMorph does not own any part of the data published in this page and EngMorph is not responsible for the correctness of the information presented. For more information, visit the NCMDAO-2023 website.

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