Kanchan Chowdhury
Assistant Professor Of Computer Science at Marquette University
Milwaukee, Wisconsin, United States
Summary
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Senior🎓
Top SchoolKanchan Chowdhury is a tenure-track Assistant Professor of Computer Science at Marquette University whose research bridges machine learning systems, geospatial data management, and database systems. With nine years of experience spanning industry Android development and academic research, she builds systems for efficient processing and analysis of large-scale geospatial and spatiotemporal data and applies them to ML and deep learning workloads. She completed a PhD and postdoctoral training at Arizona State University, where her work emphasized scalable pipelines and system-level optimizations for spatial analytics. Kanchan’s background in hands-on mobile engineering and training undergraduate developers gives her a practical edge in translating research prototypes into deployable tools. Based in Milwaukee, she combines rigorous academic methods with real-world product experience to tackle data-intensive spatial problems.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Arizona State UniversityBachelor of Science (B.Sc.), Computer Science and Engineering, Bachelor of Science (B.Sc.), Computer Science and Engineering at Chittagong University of Engineering and TechnologyHSC, Science, HSC, Science at Chittagong College
English, Bengali
Github Skills (8)
prediction-model10
classification-model10
satellite-images10
spatial-data-analysis9
temporal-data8
deep-learning7
pytorch6
deep-neural-networks4
Programming languages (1)
Github contributions (3)
kancan-chowdhury/Testing-Git
Oct 2016 - Oct 2016
Contributions:2 PRs, 3 pushes, 3 branches in 3 days
wherobots/GeoTorchAI
Nov 2022 - Dec 2022
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Contributions:12 commits in 1 month
pytorchsequence-modelsdeep-learningsatellite-imagesspatio-temporal-prediction
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