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Universities
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Research
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Projects
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Work Exp.
Angan Mukherjee
Chemical Engineering @ WVU | 2019
PhD in Chemical Engineering
Hi. I am Angan, currently working as a postdoctoral research associate in the Department of Chemical and Biological Engineering at the University of Wisconsin - Madison. I am originally from Kolkata, India, where I completed my bachelors majoring in Chemical Engineering from Jadavpur University (2015 - 2019). Thereafter, I accepted ...read more
Applied Universities
Academic Details from Current/Recent University
Education
Country United States of AmericaUniversityWest Virginia UniversityIntake2019DegreePhDProgramChemical EngineeringSpecializationsAI/ML in Chemical Engineering, Data-Driven Chemical Engineering, Advanced Process Control, Energy Systems Engineering, Computational Chemical Engineering
Research and Publications
February 9, 2023Hybrid Series/Parallel All-Nonlinear Dynamic-Static Neural Networks: Development, Training, and Application to Chemical Processes
August 1, 2024On the Development of Steady-State and Dynamic Mass Constrained Neural Networks using Noisy Transient Data
August 2, 2024Development of Steady-State and Dynamic Mass and Energy Constrained Neural Networks for Distributed Chemical Systems Using Noisy Transient Data
July 10, 2024Development of Steady-State and Dynamic Mass-Energy Constrained Neural Networks using Noisy Transient Data
Projects/Thesis
1
Development of Dynamic Mass-Energy-Thermodynamics Constrained Hybrid Neural Network Models for Process Systems ApplicationsWest Virginia University
The project seeks to exploit the advantages of first-principles and AI models by synergistically coupling them to construct stochastic, dynamic, physics-constrained neural network (NN) models that can be adapted online for dynamic modelling and control of highly complex nonlinear chemical processes. It will also explore the stability properties of data-driven learning algorithms and necessary and sufficient conditions for parameter estimation, without violating mass and energy balances as well as thermodynamic constraints. Nonlinear static-dynamic NN architectures will be constructed with desired approximation capabilities with the development of normalized Gaussian RBF network models and Bayesian ML algorithms for recursive learning.
Application Profile
Test Scores
Exam TypeScoreTOEFL113GRE320
Work & Education
Work History
PresentAugust 2024(1Y) | University of Wisconsin - Madison Research Associate |
Education History
August 2024August 2019(5Y) | PhD West Virginia University (4.0/4.0 Grade) | |
June 2019August 2015(3Y, 10M) | Bachelors Jadavpur University (9.23 / 10.00 Grade) |