Max
Roozbahani

General Information

Email:
mroozbahani3@gatech.edu
Phone:
+14048943152
Location - Building:
CCB
Location - Room:
221
Roles:
Lecturer (any rank)
Primary Unit:
School of Computing Instruction

Details

Degrees with subject and Postdoc Experience:
Degree Type
Ph.D.
Subject
Computational Science and Engineering
Year
2013-2019
Institution
Georgia Institute of Technology
Location
Atlanta
Statement of Research Interests:

My research focuses on applied machine learning and computer vision for high-impact societal problems, especially post-disaster damage assessment using multimodal data (social media imagery, satellite layers, and remote sensing). I develop scalable data-driven and physics-inspired methods, such as semantic segmentation, representation learning, and domain adaptation with vision foundation models, to improve robustness and transfer across settings. I also explore learning analytics and LLM-enabled tools that support mentorship, staffing, and decision-making in large educational and organizational environments.

Statement of Teaching Interests:

My teaching interests center on large-scale, project-based computing courses, Machine Learning, Data & Visual Analytics, and Applied Natural Language Processing, where students translate theory into end-to-end systems. I prioritize ethical course design, frequent formative feedback (autograding and targeted hints), and structured mentoring through well-supported TA teams. I am especially interested in pedagogical innovations that make rigorous, math-heavy content accessible to diverse learners while connecting coursework to industry practice and entrepreneurship.

Selection of recent research, scholarly, and creative activities:

1) Huang, H., Liu, C., Zhang, D., Patel, S., Masalava, A., Sadak, S., Babolhavaeji, P., Low, W., Roozbahani, M. M., & Frost, J. D. (2026).
  EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images. AAAI 2026 (Artificial Intelligence for Social Impact Track).
  Dataset DOI: 10.17603/ds2-ankb-yk64  (Proceedings DOI: pending/not yet posted)

2) Huang, H., Zhang, A., Zhang, D., Roozbahani, M. M., & Frost, J. D. (2025).
  DASeg: A Domain-Adaptive Segmentation Pipeline Using Vision Foundation Models—Earthquake Damage Detection Use Case. Remote Sensing, 17, 2812.
  DOI: 10.3390/rs17162812

3) Huang, H., Zhang, D., Masalava, A., Roozbahani, M. M., Roy, N., & Frost, J. D. (2025).
  Enhancing the fidelity of social media image data sets in earthquake damage assessment. Earthquake Spectra, 41(3), 2616–2650.
  DOI: 10.1177/87552930251335649

4) Alavala, N., Roy, N., McDaniel, M., Roozbahani, M. M., Borela, R., & Babolhavaeji, P. (2025).
  Beyond Buzzwords: Making Sustainability a Pillar of the Computing Curriculum. ACM ITiCSE 2025.
  DOI: 10.1145/3724363.3729034

5) Tabatabaei Anaraki, N., Ng, T., Verma, G., Fu, Y., O’Connell, M., Hull, M., Routray, S., Roozbahani, M. M., & Chau, D. H. (2025).
  Managing Project Teams in an Online Class of 1000+ Students. ACM SIGCSE 2025.
  DOI: 10.1145/3641555.3705217

6) Deshpande, G., Cheekati, S., Patel, S., Raj, P., Singh, M., Pindur, M., Al Soghyar, N., Zhao, B., Babolhavaeji, P., Taher, M., Nathan, K., Spaeth, W., & Roozbahani, M. M. (2024).
  Transforming CS Education with DevOps: Streamlined Assignment Validation and Delivery @ Scale. ACM Learning @ Scale (L@S) 2024.
  DOI: 10.1145/3657604.3664676

7) Hull, M., Pednekar, V., Murray, H., Roy, N., Tung, E., Routray, S., Guerin, C., Chen, J., Wang, Z. J., Lee, S., & Roozbahani, M. (2023).
  VISGRADER: Automatic Grading of D3 Visualizations. IEEE Transactions on Visualization and Computer Graphics.
  DOI: 10.1109/TVCG.2023.3327181

8) Zhang, D., Huang, H., Roy, N., Roozbahani, M. M., & Frost, J. D. (2023).
  Black Marble Nighttime Light Data for Disaster Damage Assessment. Remote Sensing, 15(17), 4257.
  DOI: 10.3390/rs15174257

9) Roy, N., Frost, J. D., & Roozbahani, M. M. (2023).
  Quantifying three-dimensional bodies and throats of particulate system pore space. Powder Technology, 415, 118160.
  DOI: 10.1016/j.powtec.2022.118160

10) Huang, H., & Roozbahani, M. M. (2022).
   ScaleNet: An Unsupervised Representation Learning Method for Limited Information. DAGM German Conference on Pattern Recognition (Springer/LNCS).
   DOI: 10.1007/978-3-030-92659-5_11

11) Jindal, D., Vangla, P., Nichols, E., Frost, J. D., Roozbahani, M. M., & Ramana, G. V. (2021).
   Post-Disaster Reconnaissance Studies of Landslides in India: Current Practices and Opportunities. Geo-Extreme 2021 (ASCE).
   DOI: 10.1061/9780784483688.013

12) Frost, J. D., Roy, N., Roozbahani, M. M., Lu, Y., Cao, J., & Vangla, P. (2019).
   Pores—The Almost Invisible Part of Soil. In Frontiers in Geotechnical Engineering (pp. 1–14). Springer.
   DOI: 10.1007/978-981-13-5871-5_1

13) Roozbahani, M. M., Borela, R., & Frost, J. D. (2017).
   Pore Size Distribution in Granular Material Microstructure. Materials, 10(11), 1237.
   DOI: 10.3390/ma10111237

14) Frost, J. D., Roozbahani, M. M., Jackson, K., Leonard, L., Yamamoto, K., Jones, M., & Martinez, A. (2017).
   Biologically-inspired insights into soil arching and tunnel stability from the topology of ant nests.
   Proceedings of the 19th International Conference on Soil Mechanics and Geotechnical Engineering (ICSMGE), Seoul, South Korea, pp. 1687–1690.
   DOI: N/A

15) Frost, J. D., Martinez, A., Mallett, S. D., Roozbahani, M. M., & DeJong, J. T. (2017).
   The Intersection of Modern Soil Mechanics with Ants and Roots. Geotechnical Frontiers 2017, pp. 900–909.
   DOI: 10.1061/9780784480472.096

16) Frost, J. D., Roozbahani, M. M., Peralta, A. F., Mallett, S. D., & Hanumasagar, S. S. (2017).
   The evolving role of materials in geotechnical infrastructure systems. Journal of Structural Integrity and Maintenance, 2(2), 89–99.
   DOI: 10.1080/24705314.2017.1318044

17) Roozbahani, M. M., Graham‐Brady, L., & Frost, J. D. (2014).
   Mechanical trapping of fine particles in a medium of mono‐sized randomly packed spheres.
   International Journal for Numerical and Analytical Methods in Geomechanics, 38(17), 1776–1791.
   DOI: 10.1002/nag.2276

18) Fuggle, A. R., Roozbahani, M. M., & Frost, J. D. (2014).
   Size Effects on the Void Ratio of Loosely Packed Binary Particle Mixtures. Geo-Congress 2014 (ASCE), GSP 234, pp. 129–138.
   DOI: 10.1061/9780784413272.014

19) Koval, I., Roozbahani, M., & Frost, D. (2014).
   Comparison Between Geometrical and Dynamic Particle Packing. International Symposium on Geomechanics: From Micro to Macro Scale (CRC Press/Taylor & Francis), Vol. 1, pp. 109–113.
   DOI: 10.1201/b17395-18

20) Roozbahani, M. M., Huat, B. B., & Asadi, A. (2013).
   The effect of different random number distributions on the porosity of spherical particles.
   Advanced Powder Technology, 24(1), 26–35.
   DOI: 10.1016/j.apt.2012.01.006

21) Roozbahani, M. M., Huat, B. B., & Asadi, A. (2012).
   Effect of rectangular container's sides on porosity for equal-sized sphere packing.
   Powder Technology, 224, 46–50.
   DOI: 10.1016/j.powtec.2012.02.018

22) Roozbahani, M. M., Huat, B. B. K., & Asadi, A. (2012).
   Gravitational Sphere Packing Method to Find the Porosity of the Soil Particles with the Identical Size inside the Cylindrical Container.
   First International Conference on Geotechnique, Construction Materials and Environment, Mie, Japan (Nov 21–23, 2011), pp. 76–78. ISBN: 978-4-9905958-0-7.
   DOI: N/A

23) Roozbahani, M. M., & Esmaeili, M. (2009).
   Detection of ballast pollution by means of interpretation of the GPR test results for the safety of the railway.
   1st National Conference on Roadway and Railway Accidents and Fortuities.
   DOI: N/A