Manasi Muglikar
PHD Student at Universität Zürich
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolManasi Muglikar is a PhD student at the Robotics and Perception Group in Zurich with 11 years of research and engineering experience focused on computer vision, computational photography, and imaging/illumination. She has blended academic rigor and industry impact through roles at Universität Zürich, a visiting researcher stint at MIT, and prior engineering work at Scape Technologies and CMU. Her work bridges vision, graphics, and robotics, with hands-on experience in hardware-integrated imaging projects dating back to MIT REDX. Known for tackling hard inverse problems in imaging, she pairs strong signal-processing foundations (MS from CMU) and top-tier undergraduate training with practical system-building experience. Colleagues describe her as a creative problem-solver who translates theoretical ideas into deployable imaging systems.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering (B.E), Electrical and Electronics Engineering, 3.93/ 4.00, Bachelor of Engineering (B.E), Electrical and Electronics Engineering, 3.93/ 4.00 at Birla Institute of Technology & Science, PilaniVisiting PhD Student, Visiting PhD Student at Massachusetts Institute of TechnologyMaster of Science (M.S.), Electrical and Computer Engineering, Master of Science (M.S.), Electrical and Computer Engineering at Carnegie Mellon University
English, Marathi, Hindi
Stackoverflow
1reputation
0reached
0answers
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Github Skills (20)
camera10
binding9
structure-from-motion9
python-bindings9
introspection8
computer-vision8
stitch7
cpython7
libuv7
evo6
python6
swig5
cpp5
pyinstaller5
recycling3
Programming languages (3)
Github contributions (5)
Manasi94/Image-Stitching
Jun 2016 - Oct 2016
Contributions:25 commits, 8 PRs, 20 pushes in 4 months
stitchcppcomputer-vision
uzh-rpg/e2calib
May 2021 - Sep 2022
CVPRW 2021: How to calibrate your event camera
Contributions:3 reviews, 79 commits, 7 PRs in 1 year 4 months
structure-from-motioncameraevent-cameracomputer-vision
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