Adaptive regularization for portfolio optimization
Adaptive covariance regularization for robust portfolio optimization.
Posts by Collection
portfolio
Production computer vision systems
Computer vision systems for safety monitoring, crowd management, and edge deployment.
Configurable p-Neurons using modular p-bits
Configurable stochastic neurons with 10× lower FPGA hardware requirements.
Defect-aware scaling of 2D memristive devices
Predicting yield, switching voltage, and variability as 2D memristors shrink.
Probabilistic Approximate Optimization Algorithm
Learns sampling dynamics for combinatorial optimization on probabilistic computers.
PAOA using single-photon avalanche diode arrays
PAOA on a 64 × 64 SPAD array, adapting to device variability through learned parameters.
Research talks and demos
Selected invited talk videos, slide decks, and demo links from the CV.
Energy-efficient aerial IoT data aggregation
Wake-up-radio enabled aerial data aggregation for IoT networks, from prototyping to large-scale implementation.
publications
An Adaptive Regularization Approach to Portfolio Optimization
Published in ICASSP - IEEE International Conference on Acoustics, Speech and Signal Processing, 2021
An adaptive regularization approach for portfolio optimization.
Recommended citation: Ballal, T., Abdelrahman, A. S., Muqaibel, A. H., & Al-Naffouri, T. Y. An Adaptive Regularization Approach to Portfolio Optimization. ICASSP - IEEE International Conference on Acoustics, Speech and Signal Processing, 5175-5179 (2021).
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A Comparison of Numerical Solvers for the Delay Eigenvalue Problem of Coupled Oscillators
Published in Journal of Physics: Conference Series, 2021
A comparison of numerical methods for delay eigenvalue problems arising in coupled oscillator systems.
Recommended citation: Abdelrahman, A. S., Al-Qahtani, H. M., & Alharbi, F. H. A Comparison of Numerical Solvers for the Delay Eigenvalue Problem of Coupled Oscillators. Journal of Physics: Conference Series, 1730(1) (2021).
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Energy Transfer and Coherence in Coupled Oscillators with Delayed Coupling
Published in Physica Scripta, 2022
A classical oscillator perspective on energy transfer and coherence in delayed coupled systems.
Recommended citation: Alharbi, F. H., Abdelrahman, A. S., Alkathiry, A. M., & Al-Qahtani, H. M. Energy Transfer and Coherence in Coupled Oscillators with Delayed Coupling: A Classical Picture of Two-Level Systems. Physica Scripta, 97(8) (2022).
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Scalability of h-BN Based Memristors: Yield and Variability Considerations
Published in Silicon Nanoelectronics Workshop, 2023
A study of yield and variability considerations for h-BN based memristive device scaling.
Recommended citation: Abdelrahman, A. S., ElSawy, H., Lanza, M., Akinwande, D., & Al-Dirini, F. Scalability of h-BN Based Memristors: Yield and Variability Considerations. Silicon Nanoelectronics Workshop (2023).
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Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR
Published in IEEE International Black Sea Conference on Communications and Networking, 2023
A demo abstract on wake-up-radio enabled aerial data aggregation for IoT networks.
Recommended citation: Mohammed, A. S., Khalifa, O., Alhejab, A., Abdelrahman, A. S., Al-Radhwan, A., ElSawy, H., Kouzayha, N., Al-Harthi, N., Elmirghani, J., Hanif, M., & Al-Naffouri, T. Y. Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR. IEEE International Black Sea Conference on Communications and Networking, 147-149 (2023).
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Energy-Efficient Aerial Data Aggregation for IoT: From Prototyping to Large-Scale Implementation
Published in IEEE Transactions on Instrumentation and Measurement, 2024
An implementation-driven study of energy-efficient aerial data aggregation for Internet-of-Things networks.
Recommended citation: Khalifa, O., Mohammed, A. S., Alhejab, A., Abdelrahman, A. S., Al-Radhwan, A., Zhagypar, R., ElSawy, H., Kouzayha, N., Al-Harthi, N., Elmirghani, J., Aksoy, Z., & Al-Naffouri, T. Y. Energy-Efficient Aerial Data Aggregation for IoT: From Prototyping to Large-Scale Implementation. IEEE Transactions on Instrumentation and Measurement, 74, 1-18 (2025).
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Defect-Aware Extreme Device Scaling Limits of 2D Memristive Technologies
Under review · Research Square, 2025
Predicts yield, switching voltage, and variability as 2D memristors shrink.
Recommended citation: Abdelrahman, A. S., ElSawy, H., Yuan, Y., Cheema, S. S., Akinwande, D., Lanza, M., & Al-Dirini, F. Defect-Aware Extreme Device Scaling Limits of 2D Memristive Technologies. Research Square (2025). https://doi.org/10.21203/rs.3.rs-7265912/v1
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Configurable p-Neurons Using Modular p-Bits
Published in ISCAS - IEEE International Symposium on Circuits and Systems, 2026
Configurable stochastic neurons with shared randomness, reducing FPGA hardware resources by 10×.
Recommended citation: Bunaiyan, S., Alsharif, M., Abdelrahman, A. S., ElSawy, H., Cheema, S. S., Fahmy, S. A., Camsari, K. Y., & Al-Dirini, F. Configurable p-Neurons Using Modular p-Bits. IEEE International Symposium on Circuits and Systems (ISCAS) (2026). https://doi.org/10.1109/ISCAS66217.2026.11562319
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Generalized Probabilistic Approximate Optimization Algorithm
Published in Nature Communications, 2026
Learns sampling dynamics for combinatorial optimization, with an FPGA implementation of on-chip annealing.
Recommended citation: Abdelrahman, A. S., Chowdhury, S., Morone, F., & Camsari, K. Y. Generalized Probabilistic Approximate Optimization Algorithm. Nature Communications, 17, 498 (2026). https://doi.org/10.1038/s41467-025-67187-5
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Probabilistic approximate optimization using single-photon avalanche diode arrays
In press · npj Unconventional Computing, 2026
Runs PAOA on a 64 × 64 SPAD array, adapting to device variability through learned parameters.
Recommended citation: Alswaidan, Z., Abdelrahman, A. S., Sajal, M. S., Chowdhury, S., Lin, K.-C., Guthrie, H., Seshan, S., Blanton, S., Morone, F., Dandin, M., Camsari, K. Y., & Srimani, T. Probabilistic approximate optimization using single-photon avalanche diode arrays. npj Unconventional Computing, in press (2026).
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Isingformer: Augmenting parallel tempering with learned proposals
Under review · arXiv, 2026
Adds transformer-generated global proposals to parallel tempering for spin-glass optimization and integer factorization.
Recommended citation: Bunaiyan, S., Delacour, C., Chowdhury, S., Lee, K., Abdelrahman, A. S., & Camsari, K. Y. Isingformer: Augmenting parallel tempering with learned proposals. Under review (2026). arXiv:2509.23043.
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Probabilistic algorithms for Ising machines from optimization to generative AI
Published in Nature Reviews Electrical Engineering, 2026
Connects sampling algorithms, Ising hardware, and generative models for optimization and inference.
Recommended citation: Delacour, C., Zhang, X., Abdelrahman, A. S., Bunaiyan, S., Lee, K., Chowdhury, S., & Camsari, K. Y. Probabilistic algorithms for Ising machines from optimization to generative AI. Nature Reviews Electrical Engineering (2026). https://doi.org/10.1038/s44287-026-00344-0
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Introduction to Applied Linear Algebra (ECE 130C)
Teaching Assistant, ECE Department, UC Santa Barbara, 2024
Matrix arithmetic, vector spaces, orthogonality, factorizations, determinants, eigenvalues and eigenvectors, and difference and differential equations.
Signal Analysis and Processing (ECE 130A)
Teaching Assistant, ECE Department, UC Santa Barbara, 2025
Continuous-time linear systems in time and frequency domains, including convolution, Laplace transforms, and Fourier transforms.
Digital Design Principles (ECE 152A)
Teaching Assistant, ECE Department, UC Santa Barbara, 2026
Timing diagrams, propagation delay, latches and flip-flops, shift registers and counters, finite state machines, Verilog, two-phase clocking, and timing analysis.
Probabilistic Computing
Instructor, UC Santa Barbara, 2026
Designed and taught INT 93LS–001, with lecture notes and executable notebooks on sampling, discrete optimization, and stochastic neural networks.
Research Mentorship Program (RMP)
Research Mentor, UC Santa Barbara, 2026
Mentored a four-week protein-folding project, from an HP lattice environment and REINFORCE benchmarks to a final report and presentation.