3rd International Conference on Recent Development in Engineering & Technology

Selected Papers ICRDET 2022

Guest Editors:

Prof. Dr. Praveen Agarwal
Anand International College of Engineering, India
E-mail: goyal.praveen2011@gmail.com
Interests: Fractional calculus, Analysis, Special functions, Mathematical Physics

Prof. Dr. Shilpi Jain
Poornima College of Engineering, India
Email: shilpijain1310@gmail.com
Interests: Fractional calculus, Analysis, Special functions, Mathematical Physics

Prof. Dr. Shams Forruque Ahmed
Asian University for Women, Bangladesh
Email: ahmed_jhe99@yahoo.com
Interests: Computational Fluid Dynamics, Energy & Environment

Prof. Dr. Samad Noeiaghdam
National Research Technical University, Russia
Email: samadnoeiaghdam@gmail.com
Interests: Numerical Analysis, Solving Integral Equations, Solving ODEs and PDEs, Fuzzy Mathematics, Solving Bio-Mathematical Models


Special Issue Information

ICRDET -2022, the 3rd International Conference on Recent Development in Engineering & Technology (ICRDET-2022).  The objective of 3nd ICRDET-2022 is to provide a world class platform to present and discuss all the latest research and results of scientists related to Mechanical, Civil, Electrical, Electronics, Computer Engineering and Basic Sciences. This conference provides opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish professional or research relations and to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up to date scientific field. The organizers of the conference are pleased to invite prospective authors to submit their original manuscripts to ICRDET-2022. The conference will be held every year to make it an ideal platform for people to share views and experiences in Science, Engineering & Technology related areas.

Selected papers of ICRDET 2022 will be published under this special issue based on quality and suitability and recommendations of the ICRDET Committee. This special issue will be published tentatively in October-November 2022 after the ICRDET conference.


The focus of this special issue is geared towards advanced mathematical analysis and differential equations as well as Neural Networks, soft computing for the purposes of analysis, modelling and numerical computations regarding non-linear phenomena virtually in every physical, biological, neuronal, Computational Fluid Dynamics, Energy & Environment engineering or technical processes, amongst others. To this end, we hope to expand research areas in different fields for a better grasp of the processes and attributes of dynamic and non-linear phenomena on image and signal processing, recurrent neural networks, differential/integral equations, nonlinear partial differential equations, to name just a few, along with the various aspects of the theoretical, numerical and applied studies.

The topics of this Special Issue include but are not limited to:

  • Modeling complex PDE-based physics problems with PINNs
  • Physics-informed deep learning
  • Nonlinear interactions with ordinary differential equations
  • Nonlinear PDE-based PINNs
  • Automating PINNs with error approximations
  • Efficient and stable training of differential equations
  • Quantization optimization algorithms
  • Data-driven computing
  • Discrete, stochastic and hybrid dynamics
  • Nonlocality and memory effects
  • Nonlinear effects in wave equations
  • Quadrature techniques with faster quasi-random samplers and optimizers
  • Uncertainty quantification
  • Learning nonlocal constitutive models with neural networks
  • Nonlocal PDEs for image and data processing
  • Non-local fractional models and non-local system dynamics
  • Electromagnetic waves propagation in multiscale environments
  • Identification and pattern recognition in space exploration
  • Pattern formation and encoding rhythm analysis for spiking neuronal networks
  • Singularity analysis of nonlinear fractional differential equations
  • Complex periodicity and synchronization
  • Complex quantum dynamics
  • Theoretical and computational materials physics Adomian decomposition method
  • Collocation method
  • Galerkin method
  • Variational iteration method
  • Iterative methods
  • Wavelets
  • Bifurcation analysis and spatio-temporal patterns of nonlinear dynamics in neural networks