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Shashank Venkat Muddu
Shashank Venkat Muddu
Postdoctoral Associate, Department of Chemical Engineering, Massachusetts Institute of Technology
在 mit.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Model development and validation of fluid bed wet granulation with dry binder addition using a population balance model methodology
SV Muddu, A Tamrakar, P Pandey, R Ramachandran
Processes 6 (9), 154, 2018
222018
Combined feedforward/feedback control of an integrated continuous granulation process
GC Pereira, SV Muddu, AD Román-Ospino, D Clancy, B Igne, C Airiau, ...
Journal of Pharmaceutical Innovation 14, 259-285, 2019
192019
A semi-mechanistic prediction of residence time metrics in twin screw granulation
SV Muddu, L Kotamarthy, R Ramachandran
Pharmaceutics 13 (3), 393, 2021
82021
Dry powder mixing is feasible in continuous twin screw extruder: towards lean extrusion process for oral solid dosage manufacturing
D Mateo-Ortiz, V Villanueva-Lopez, SV Muddu, GD Doddridge, ...
AAPS PharmSciTech 22, 1-12, 2021
62021
A population balance methodology incorporating Semi-Mechanistic residence time metrics for twin screw granulation
SV Muddu, R Ramachandran
Processes 10 (2), 292, 2022
42022
A modeling, control, sensing, and experimental overview of continuous wet granulation
SV Muddu, R Ramachandran
How to Design and Implement Powder-To-Tablet Continuous Manufacturing …, 2022
12022
Non-invasive estimation of the powder size distribution from a single speckle image
Q Zhang, A Pandit, Z Liu, Z Guo, S Muddu, Y Wei, D Pereg, N Nazemifard, ...
Light: Science & Applications 13 (1), 200, 2024
2024
On the use of physics in machine learning for imaging and quantifying complex processes
G Barbastathis, Q Zhang, R Braatz, A Myerson, C Papageorgiou, W Tang, ...
Bulletin of the American Physical Society, 2024
2024
Semi-Mechanistic Prediction of Residence Time Metrics and Mixing Dynamics in Single-Screw Extrusion Via a 2-D Convection-Diffusion Model Combined with Machine Learning
A Dan, EH Olofsson, SV Muddu, NH Jokil, JH Hattel, R Ramachandran
2023 AIChE Annual Meeting, 2023
2023
An RTD-PBE Framework to Quantify Axial Velocity in Particulate Flow Systems
SV Muddu
Rutgers The State University of New Jersey, School of Graduate Studies, 2021
2021
Validation of Combined PBM-RTD Technique to Simulate Continuous Wet Granulation Systems for Pharmaceutical Manufacturing Processes
SV Muddu, R Ramachandran
2019 AIChE Annual Meeting, 2019
2019
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