| Journal Publications |
|---|
| Peter Jul-Rasmussen, Arijit Chakraborty, Venkat Venkatasubramanian, Xiaodong Liang, and Jakob Kjøbsted Huusom. Hybrid AI modeling techniques for pilot scale bubble column aeration: A comparative study. Computers & Chemical Engineering.(2024), doi: 10.1016/j.compchemeng.2024.108655 |
| Peter Jul-Rasmussen, Arijit Chakraborty, Venkat Venkatasubramanian, Xiaodong Liang, and Jakob Kjøbsted Huusom. Identifying first-principles models for bubble column aeration using machine learning. Computer Aided Chemical Engineering (Vol. 52, pp. 1089-1094). Elsevier.(2023), doi: 10.1016/B978-0-443-15274-0.50174-8 |
| Zuming Liu, Arijit Chakraborty, Tianbiao He, and Iftekhar A. Karimi. Technoeconomic and environmental optimization of combined heat and power systems with renewable integration for chemical plants. Applied Thermal Engineering.(2023), p.119474., doi: 10.1016/j.applthermaleng.2022.119474 |
| Arijit Chakraborty, Sven Serneels, Heiko Claussen, and Venkat Venkatasubramanian. Hybrid AI Models in Chemical Engineering–A Purpose-driven Perspective. Computer Aided Chemical Engineering (Vol. 51, pp. 1507-1512). Elsevier.(2022), doi: 10.1016/B978-0-323-95879-0.50252-6 |
| Sampatrao Manjare and Arijit Chakraborty. Modelling of fugitive emissions released due to handling of iron ore cargo at the port. International Journal of Environmental Science and Technology.(2022), doi: 10.1007/s13762-022-03969-4 |
| Arijit Chakraborty, Abhishek Sivaram, and Venkat Venkatasubramanian. AI-DARWIN: A first principles-based model discovery engine using machine learning. Computers and Chemical Engineering.(2021), doi: 10.1016/j.compchemeng.2021.107470 |
| Arijit Chakraborty, Abhishek Sivaram, Lakshminarayanan Samavedham, and Venkat Venkatasubramanian. Mechanism Discovery and Model Identification using Genetic Feature Extraction and Statistical Testing. Computers and Chemical Engineering.(2020), doi: 10.1016/j.compchemeng.2020.106900 |
| Arijit Chakraborty and Anirban Roy. Water-energy nexus for estuarine systems with seasonal salinity variations: A thermodynamic feasibility analysis of reverse osmosis (RO)-pressure retarded osmosis (PRO) combinations. Water Science and Technology: Water Supply.(2020), doi: 10.2166/ws.2020.144 |
| Arijit Chakraborty and Anirban Roy. Seasonal Variations in River Water Properties and Their Impact on Mixing Energies and Pressure Retarded Osmosis. Environmental Engineering Science. (2018), doi: 10.1089/ees.2017.0477 |
| Conferences |
|---|
| Arijit Chakraborty, and Venkat Venkatasubramanian. Automated Mechanism-Based Explanation Generation of Machine Learning Models. 2023 AIChE Annual Meeting. (2023) |
| Arijit Chakraborty, Harshal Marathe, and Venkat Venkatasubramanian. A Data Reconciliation Methodology for Reduced Order Modeling of Process Systems. 2022 AIChE Annual Meeting. (2022) |
| Arijit Chakraborty, Krishnan Kumaran, and Venkat Venkatasubramanian. A Framework for the Statistical Value of Extreme Points for Function Approximation. 2022 AIChE Annual Meeting. (2022) |
| Arijit Chakraborty and Venkat Venkatasubramanian. Discovering First-Principles-Based Models Using Machine Learning for Physicochemical Systems. 2022 AIChE Annual Meeting. (2022) |
| Arijit Chakraborty, Abhishek Sivaram and Venkat Venkatasubramanian. Discovering Interpretable Models from Data Using Machine Learning: Application to Nonlinear Parametric Models. 2021 AIChE Annual Meeting. (2021) |
| Abhishek Sivaram, Arijit Chakraborty, Lakshminarayanan Samavedham and Venkat Venkatasubramanian. Mechanism Discovery and Model Identification Using Genetic Feature Extraction and Statistical Testing. 2020 AIChE Annual Meeting. (2020) |
| Arijit Chakraborty and Anirban Roy. Impact of Seasonal Salinity Variations in Estuarine Systems: Thermodynamic Feasibility Analysis of Pressure Retarded Osmosis (PRO) and Reverse Osmosis (RO) Combinations. 2018 AIChE Annual Meeting. (2018) |
| Honors and Awards |
|---|
| CAST Director’s Student Presentation Award at the 2022 AIChE Annual Meeting (2022), for the presentation titled Discovering First-Principles-Based Models Using Machine Learning for Physicochemical Systems |
| Indian Institute of Chemical Engineers (IIChE) Award for the Year 2018 : The Chemical Weekly Prize for Best Research Paper Published in a High Impact Factor International Journal by an Undergraduate Chemical Engineering Student – First Prize. (2018) |
| Council for Student Affairs of BITS Pilani, Goa Campus, Felicitation Fund (2018) |
| Book Chapter |
|---|
| Anupam Mukherjee, Shubham Lanjewar, Ridhish Kumar, Arijit Chakraborty, Amira Abdelrasoul, and Anirban Roy. Role of Thermodynamics and Membrane Separations in Water-Energy Nexus. Modeling in Membranes and Membrane-Based Processes, p.145. (2020) |
| Magazine Articles |
|---|
| Ridhish Kumar, Arijit Chakraborty, Anupam Mukherjee, Prakash Dadhich, Anirban Roy. 3D Printing in Biomedical Applications. Chemical Engineering World 53, 40-44 (2018) |
| Arijit Chakraborty, Ridhish Kumar, Anirban Roy. Water Management Using Membranes: Forward Osmosis and Pressure Retarded Osmosis as Technologies of Future. Chemical Engineering World 52, 44-48 (2017) |
Projects
Automated Mechanism-based Explanation Generation of Machine Learning ModelAdvisor: Prof. Venkat Venkatasubramanian , Columbia University, U.S.A | Fall 2022 - Present
- Developed a novel framework for the extraction of domain-specific information from textual sources.
- Extracted knowledge is used to generate mechanistic explanations for the ML-assisted models.
- Will give an oral presentation at the 2023 AIChE Annual Meeting in November.
Advisor: Prof. Venkat Venkatasubramanian , Columbia University, U.S.A | Fall 2022 - Present
- In collaboration with researchers from Process and Systems Engineering Center (PROSYS) at the Department of Chemical and Biochemical Engineering in Technical University of Denmark.
- A novel interpretable and explainable model for the bubble-column aeration operation was proposed, and parameters were reconciled with existing models of the same.
- Different data based modeling approaches were applied for modeling – highlighting the strengths and weaknesses of each method.
Advisor: Prof. Venkat Venkatasubramanian , Columbia University, U.S.A | Summer 2022 - Present
- In collaboration with researchers from within the Department of Chemical Engineering at Columbia University.
- Developed a hybrid-AI approach for obtaining reduced mechanisms 100x smaller in size in comparison to complete mechanism.
- Proposed a new strategy for mechanism reduction using a priori knowledge, such as species, reaction types, and reaction rates.
- Optimized existing mechanism using a combination of search, and optimization techniques.
Advisor: Prof. Venkat Venkatasubramanian , Columbia University, U.S.A | Summer 2022 - Present
- Demonstrated using model-based experimental design, the case in favor of extreme points, along with their statistical merits.
- Developed an autonomous experimentation algorithm for improving function approximation in higher dimensions.
Advisor: Prof. Venkat Venkatasubramanian , Columbia University, U.S.A | Summer 2019 - Present
- Developed a genetic algorithm approach-based algorithm that discovers mathematical models that map input variables to output variables with high accuracy.
- Proposed a new strategy for mechanism identification of multi-parameter models across a widerange of parameter space.
- Published 2 journal articles in Computers & Chemical Engineering journal.
Advisor: Prof. Iftekhar Karimi, National University of Singapore, Singapore | Summer and Fall 2019
- Developed a MINLP optimization model of a cogeneration plant by creation of a superstructure, incorporating all possible configurations of the equipment and their flow-schemes.
- Used GAMS® for solving the optimization problem and analysed the design to obtain the optimalset of equipment, design parameters and corresponding operating conditions.
- Published a journal article in Applied Thermal Engineering journal.
Advisor: Prof. Sampatrao Manjare, BITS Pilani – Goa Campus, India | Spring 2019
- Simulated a pesticide process plant using Aspen Plus with an objective to scale-up from pilot plant data using preliminary process flow diagrams (PFDs).
- Performed extensive literature review to obtain / extrapolate property data for proprietary compounds.
Advisor: Prof. Sampatrao Manjare, BITS Pilani – Goa Campus, India | Fall 2018
- Simulated two existing process plants on Aspen Plus from PFDs to study the effect of increasing throughout in one plant whilst decreasing it for the other..
Advisor: Prof. Anirban Roy, BITS Pilani – Goa Campus, India | Spring 2018
- Proposed a cost reduction model in potable water manufacture by hybrid-osmotic process by modeling using MATLAB®.
- Published a journal article in Water Science and Technology: Water Supply
Advisor: Prof. Anirban Roy, BITS Pilani – Goa Campus, India | Fall 2017
- Performed thermodynamic and feasibility analysis of Pressure Retarded Osmosis (PRO) by modeling using MATLAB for real estuarine geographies.
- Published a journal article in Environmental Engineering Science.