Ahmad Bin Rabiah

I'm a 1st year PhD student in Computer Science at UC San Diego, where I am fortunate to be advised by Professor Julian McAuley. My research interests lie in the intersection of machine learning and personalization. More specifically, I've been exploring problems related to recommender systems and conversational agents.

I completed my Master's in Electrical and Computer Engineering at Purdue University, where I worked with Professor Qi Guo on a computer vision problem [arXiv '22].

My early experience traces back to my time at PSDSARC—an applied research center, where I contributed to developing signal processing systems. I did my undergraduate at KSU, where I was working with Professors Saleh Alshebeili and Omar Aldayel on signal processing and convex optimization [RadarConf '20].

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News

Publications

                    @article{rabiah2022stereoisp,
                      title={StereoISP: Rethinking Image Signal Processing for Dual Camera Systems},
                      author={Rabiah, Ahmad Bin and Guo, Qi},
                      journal={arXiv preprint arXiv:2211.07390},
                      year={2022}
                    }
                  

StereoISP is an innovative framework for improving image quality in dual camera systems by focusing on enhancing RGB image reconstruction from raw stereo data.

                    @inproceedings{bin2021haiku,
                      title={Haiku: Efficient Authenticated Key Agreement with Strong Security Guarantees for IoT},
                      author={Bin Rabiah, Abdulrahman and Ramakrishnan, KK and Richelson, Silas and Bin Rabiah, Ahmad and Liri, Elizabeth and Kar, Koushik},
                      booktitle={Proceedings of the 22nd International Conference on Distributed Computing and Networking},
                      pages={196--205},
                      year={2021}
                    }
                  

Haiku is a lightweight key agreement protocol by combining symmetric and public-key cryptography for optimized security in IoT constrained environments.

                      @inproceedings{rabiah2020sdr,
                        title={SDR-Based Hardware Implementation and Performance Measurement of Transmit Beampattern Design Algorithms},
                        author={Rabiah, Ahmad Bin and Alsakabi, Mohammed and Aldayel, Omar and Alshebeili, Saleh},
                        booktitle={2020 IEEE Radar Conference (RadarConf20)},
                        pages={1--6},
                        year={2020},
                        organization={IEEE}
                      }
                  

We evaluated the implementation and performance of state-of-the-art transmit beampattern design algorithms using an SDR-based transmitter with a focus on practical challenges and efficacy in real-world scenarios.

Experience

Education

Selected Awards

Professional Services