Sina Baharlou
Research Assistant at Boston University
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolSina Baharlou is a Ph.D. candidate in Electrical and Computer Engineering at Boston University specializing in applying machine learning to photonics, bringing nine years of research experience spanning computer vision, deep learning, and inverse design. He has a strong publication record from collaborations at Ludwig-Maximilians-Universität München on scene graph classification and visual relation detection, where his work combined depth data, textual priors, and knowledge-graph methods to boost scene understanding. Sina’s background includes an M.Sc. in AI and Robotics from Sapienza University of Rome and practical contributions to RGB-D recognition, depth colorization, and synthetic dataset creation. He has a track record of translating foundational research into published results across AAAI, ICPR and Expert Systems with Applications, and is currently exploring intersections of photonics and ML—an unconventional blend that positions him to bridge optical systems and data-driven models.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Software Engineering, Bachelor of Science - BS, Computer Software Engineering at Islamic Azad UniversityMaster of Science - MS, Artificial Intelligence and Robotics, 110/110, Master of Science - MS, Artificial Intelligence and Robotics, 110/110 at Sapienza Università di RomaDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Boston University
English, Italian, Persian
Github Skills (7)
notice10
gdown10
google-apps7
python6
security5
curl5
wget4
Programming languages (1)
Github contributions (5)
Sina-Baharlou/Pose-Estimation-RGBD
Aug 2016 - Jul 2022
Contributions:11 commits, 10 pushes, 1 branch in 5 years 11 months
Sina-Baharlou/Pose-Estimation-EKF
Aug 2016 - Jul 2022
Contributions:10 commits, 9 pushes, 1 branch in 5 years 11 months
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