M Arshad Zahangir Chowdhury

Mechanical, Aerospace and Nuclear Engineering

About

Dr.  Chowdhury's research focused on Machine Learning for Gas Phase Speciation, automated intelligent experimentation, scientific machine learning based computational tools for gas phase speciation, remote sensing, intelligent climate management, and design optimization.

Education & Training

PhD, Rensselaer Polytechnic Institute

MS, Indiana University Purdue University

Research

Primary Research Focus
Intelligent automated environmental monitoring
Other Focus Areas
  • Climate change management and mitigation
  • Scientific and applied machine learning
  • Design and optimization
  • Energy and sustainability

Teaching

MANE 4030: Elements of Mechanical Design

MANE 4962: Machine Learning for Engineering

MANE 4910 : Fluid Dynamics Laboratory

MANE 4740: Thermal and Fluids Engineering Laboratory

 

Recognition

Awards & Honors
  • The Bimal K. Malaviya Graduate Teaching Assistant Award (Rensselaer Polytechnic Institute)
  • University fellowship (Indiana University Purdue University Indianapolis)

Publications
Google Scholar
Research Gate

The following is a selection of recent publications in Scopus. M Arshad Zahangir Chowdhury has 12 indexed publications in the subjects of Physics and Astronomy, Chemical Engineering, Engineering.

Deep Learning for Gas Sensing via Infrared Spectroscopy
M. Arshad Zahangir Chowdhury, Matthew A. Oehlschlaeger
Sensors
, 24
, 2024
.
TSMC-Net: Deep-Learning Multigas Classification Using THz Absorption Spectra
M. Arshad Zahangir Chowdhury, Timothy E. Rice, Matthew A. Oehlschlaeger
ACS Sensors
, 8
, 2023
, pp.1230-1240
.
Data-Driven Defenses Against Adversarial Attacks for Autonomous Vehicles
Omar A. Azim, Lex Baker, Reek Majumder, Abyad Enan, Sakib M. Khan, Mashrur A. Chowdhury
IAVVC 2023 - IEEE International Automated Vehicle Validation Conference, Proceedings
, 2023
.
ROI-Finder: machine learning to guide region-of-interest scanning for X-ray fluorescence microscopy
M. A.Z. Chowdhury, K. Ok, Y. Luo, Z. Liu, S. Chen, T. V. O'Halloran, R. Kettimuthu, A. Tekawade
Journal of synchrotron radiation
, 29
, 2022
, pp.1495-1503
.
VOC-Net: A Deep Learning Model for the Automated Classification of Rotational THz Spectra of Volatile Organic Compounds
M. Arshad Zahangir Chowdhury, Timothy E. Rice, Matthew A. Oehlschlaeger
Applied Sciences (Switzerland)
, 12
, 2022
.
A support vector machines framework for identification of infrared spectra
M. Arshad Zahangir Chowdhury, Timothy E. Rice, Matthew A. Oehlschlaeger
Applied Physics B: Lasers and Optics
, 128
, 2022
.
Gas Sensing for Commercial Refrigerants R-134a and R-1234yf Using Rotational Absorption Spectroscopy in the 220–330 GHz Frequency Range
M. Arshad Zahangir Chowdhury, Timothy E. Rice, Megan N. Powers, Muhammad Waleed Mansha, Ingrid Wilke, Mona M. Hella, Matthew A. Oehlschlaeger
Journal of Infrared, Millimeter, and Terahertz Waves
, 43
, 2022
, pp.683-694
.
Assessment of unsupervised clustering of label-free X-ray fluorescence microscopy data
M. A.Z. Chowdhury, K. Ok, Y. Luo, Z. Liu, S. Chen, T. V. O’Halloran, R. Kettimuthu, A. Tekawade
Proceedings of SPIE - The International Society for Optical Engineering
, 12227
, 2022
.
Quantitative Gas Spectroscopy in the 220 to 330 GHz Frequency Band Utilizing a Microelectronic Spectrometer
Ingrid Wilke, Timothy E. Rice, M. Waleed Mansha, M. A.Z. Chowdhury, Mona M. Hella, Matthew A. Oehlschlaeger
International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz
, 2022-August
, 2022
.
Halogenated hydrocarbon gas sensing by rotational absorption spectroscopy in the 220–330 GHz frequency range
T. E. Rice, M. A.Z. Chowdhury, M. W. Mansha, M. M. Hella, I. Wilke, M. A. Oehlschlaeger
Applied Physics B: Lasers and Optics
, 127
, 2021
.
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