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  • Boise State University
  • Boise, Idaho
  • 22:49 (UTC -06:00)
  • LinkedIn in/munibahmedd

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GitGuru2003/README.md

Munib Ahmed

Ph.D. Student in Computing (Computer Science) @ Boise State University

Machine Learning · Chemometrics · Signal Processing · Infrared Spectroscopy


Ph.D. student in Computing (Computer Science) at Boise State University.

I work at the intersection of machine learning, chemometrics, signal processing, and infrared spectroscopy. My research focuses on FTIR and FT-NIR spectroscopy, spectral processing, calibration transfer, and quantitative modeling.

I am particularly interested in developing reproducible computational methods that improve the accuracy, stability, reproducibility, and transferability of spectroscopic machine learning models.


🔬 Research Interests

Machine Learning Chemometrics Infrared Spectroscopy
FTIR / FT-NIR Spectroscopy Signal Processing Spectral Preprocessing
Calibration Transfer Domain Adaptation Feature Selection
Multivariate Analysis Reproducible Scientific Computing


🧪 Current Research

My research focuses on machine learning, chemometrics, signal processing, and infrared spectroscopy, with an emphasis on FTIR and FT-NIR applications.

Current areas of work include:

  • Interferogram-to-spectrum processing
  • Spectral preprocessing
  • Calibration transfer across instruments
  • Feature stability and reproducibility
  • Chemometric modeling for food and dairy analysis

💼 Experience

Graduate Researcher

Machine Learning, Spectroscopy & Chemometrics
Boise State University · Aug 2025 – Present

  • Developing Python workflows for FT-NIR/FT-MIR interferogram-to-spectrum processing, including apodization, zero-filling, FFT, phase correction, and spectral preprocessing.
  • Designing chemometric experiments using PLS regression and group-aware cross-validation to study how signal-processing choices affect predictive performance and spectral stability.
  • Investigating calibration transfer methods including Direct Standardization (DS), Piecewise Direct Standardization (PDS), and domain adaptation for model generalization across instruments and production environments.

Teaching Assistant

Computer Science
Boise State University · Aug 2025 – Present

CS 354 — Programming Languages · CS 452/552 — Operating Systems

  • Hold office hours, debug student code, grade assignments, and provide technical feedback across programming languages and operating systems topics.

🎓 Education

Ph.D. in Computing — Computer Science Emphasis

Boise State University · 2025 – Present

B.S. in Computer Science

Boise State University · 2021 – 2025


🛠 Technical Skills

Languages Python · Java · SQL · Bash · HTML · CSS · JavaScript
ML / Data Scikit-learn · XGBoost · PyTorch · TensorFlow · Imbalanced-learn · NumPy · Pandas · SciPy · Matplotlib · Seaborn
Methods Cross-Validation · Feature Engineering · Anomaly Detection · Regression · Classification · Chemometrics · Signal Processing
Web / Tools FastAPI · Streamlit · Flask · React · Node.js · REST APIs · Docker · Git · Linux/Unix · Jupyter · VS Code

🔗 Connect

LinkedIn: linkedin.com/in/munibahmedd
ORCID: 0009-0007-1147-3048
Email: munibahmed@u.boisestate.edu

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