Scholar
Safa Messaoud
Google Scholar ID: M2wXrP4AAAAJ
Scientist, Qatar Computing Research Institute (QCRI)
Citations & Impact
Citations
166
H-index
7
i10-index
6
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- - Thesis: Toward More Scalable Structured Models
- - Paper: Max-Sliced Score Matching
- - Paper: Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning? - Oral Presentation at CVPR 2020, WiCV Workshop 2020, and Deep Vision Workshop 2020
- - Paper: DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization - Accepted at SIGIR 2021 and Oral Presentation at DRL4IR Workshop (SIGIR) 2021
- - Paper: Structural Consistency and Controllability for Diverse Colorization - ECCV 2018, WiML Workshop at NeurIPS 2017
- - Patent: Medical record problem list generation
- - Research: Reaction–diffusion modelling for microphysiometry on cellular specimens
- - Patent: Accelerating genomic data parsing on field programmable gate arrays
- - Paper: Translating Discrete Time SIMULINK to SIGNAL
- - Thesis: Optimal Architecture Synthesis for Aircraft Electrical Power Systems
Research Experience
- - Scientist at Qatar Computing Research Institute (QCRI)
- - Gave a talk at MLDAS symposium organized by Boeing and QCRI at MIT
- - Served as a senior program committee member for AAAI 23
- - Served as a reviewer for the Gaze Meets ML workshop @ NeurIPS 22
Education
- - Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, advised by Prof. Alexander Schwing
- - Master's degree in Computer Engineering from Virginia Polytechnic and State University, advised by Prof. Sandeep Shukla
- - Bachelor and Master's degrees in Electrical Engineering and Information Technology from the Technical University of Munich
- - Visiting scholar at UC Berkeley, supervised by Prof. Alberto Sangiovanni Vincentelli and Prof. Andreas Herkersdorf
Background
- Research interests: safe reinforcement learning and structure prediction algorithms, motivated by applications in computer vision and health intelligence.
Miscellany
- Personal interests not mentioned