Angan Mukherjee

Citation name

Mukherjee, A.

Affiliation

West Virginia University

State

WV

Country

USA

Hi, I am currently working as a Postdoctoral Research Associate with Prof. Victor M. Zavala in the Department of Chemical and Biological Engineering, University of Wisconsin - Madison. My research interests include process systems engineering, machine learning, data science and optimization.

Authored

(674d) Development of a Hybrid First Principles – Artificial Intelligence Approach for Dynamic Modeling of Complex Systems

Angan Mukherjee

Debangsu Bhattacharyya

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(415a) Modeling Complex Nonlinear Systems Using Concatenated Static-Dynamic Neural Networks

Angan Mukherjee

Debangsu Bhattacharyya

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(362p) Data-Driven Modeling of Complex Nonlinear Systems Using Hybrid Series and Parallel Nonlinear Static – Dynamic Stochastic Neural Networks

Angan Mukherjee

Debangsu Bhattacharyya

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(12b) Development of Mass and Energy Constrained Neural Networks

Angan Mukherjee

Debangsu Bhattacharyya

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(374d) Development of Hybrid First Principles – Artificial Intelligence Models: Applications to an Industrial Steam Superheater System

Angan Mukherjee

Debangsu Bhattacharyya

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

(149x) Hybrid Series/Parallel All-Nonlinear Dynamic-Static Stochastic Neural Networks: Development, Training and Application to Chemical Processes

Angan Mukherjee

Debangsu Bhattacharyya

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

(59o) Development of Algorithms for Mass and Energy Constrained Dynamic Neural Network Models

Angan Mukherjee

Debangsu Bhattacharyya

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

(433a) Grey-Box Modeling and Estimation for Health Monitoring of High Temperature Boiler Components

Angan Mukherjee

Debangsu Bhattacharyya

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

(2dw) New Data-Driven Modeling Paradigms in Systems Engineering Using Novel Neural Network Structures

Angan Mukherjee

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

(674d) Hybrid Gaussian Radial Basis Neural Networks (GRAB-NN): Development, Training, and Applications to Modeling Nonlinear Dynamic Noisy Chemical Processes

Angan Mukherjee

Debangsu Bhattacharyya

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

(676g) Development of Steady-State and Dynamic Mass-Energy Constrained Neural Network Models Using Noisy Temporal Data for Dynamic Optimization of Distributed Chemical Systems

Angan Mukherjee

Debangsu Bhattacharyya

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

(14i) Development of Steady-State and Dynamic Mass-Energy-Thermodynamics Constrained Neural Network (MET-CNN) Models for Interconnected Systems Using Noisy Transient Data

Angan Mukherjee

Debangsu Bhattacharyya

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

(314f) Development of an Online Health Monitoring Framework for High Temperature Boiler Components By Using Hybrid First Principles-Data-Driven Models

Angan Mukherjee

Debangsu Bhattacharyya

2024 AIChE Annual Meeting (ISBN: 978-0-8169-1122-6)

Associated proceedings

2020 Virtual AIChE Annual Meeting

2021 Annual Meeting

2022 Annual Meeting

2023 AIChE Annual Meeting

2024 AIChE Annual Meeting